diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml index 23972e28b99..6ca0c2f81dc 100644 --- a/.github/workflows/codeql.yml +++ b/.github/workflows/codeql.yml @@ -23,7 +23,7 @@ on: jobs: analyze: name: Analyze - runs-on: ubuntu-latest + runs-on: ubuntu-22.04 permissions: actions: read contents: read diff --git a/.github/workflows/full-stack-test.yml b/.github/workflows/full-stack-test.yml new file mode 100644 index 00000000000..657d9f52428 --- /dev/null +++ b/.github/workflows/full-stack-test.yml @@ -0,0 +1,43 @@ +name: Test Metaflow with complete Kubernetes stack + +on: + push: + branches: + - master + pull_request: + branches: + - master + +jobs: + test: + runs-on: ubuntu-latest + + steps: + - name: Check out source + uses: actions/checkout@v4 + + - name: Install Metaflow + run: | + python -m pip install --upgrade pip + pip install . kubernetes + + + - name: Bring up the environment + run: | + echo "Starting environment in the background..." + MINIKUBE_CPUS=2 metaflow-dev all-up & + # Give time to spin up. Adjust as needed: + sleep 150 + + - name: Wait & run flow + run: | + # When the environment is up, metaflow-dev shell will wait for readiness + # and then drop into a shell. We feed commands via a heredoc: + cat <> ./stubs/test/mypy_${{ matrix.ver }}.cfg + if [[ "${{ matrix.ver }}" == "3.7" ]]; then + echo "follow_imports = skip" >> ./stubs/test/mypy_${{ matrix.ver }}.cfg + fi + + - name: Run mypy tests + uses: nick-fields/retry@v2 + with: + max_attempts: 2 + timeout_minutes: 3 + retry_on: error + command: cd ./stubs && pytest --mypy-ini-file test/mypy_${{ matrix.ver }}.cfg --mypy-only-local-stub && cd - diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index f6790f8b729..c1b993fef60 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -9,14 +9,14 @@ on: workflow_call: permissions: read-all - + jobs: pre-commit: - runs-on: ubuntu-20.04 + runs-on: ubuntu-22.04 steps: - uses: actions/checkout@ee0669bd1cc54295c223e0bb666b733df41de1c5 # v2.7.0 - uses: actions/setup-python@75f3110429a8c05be0e1bf360334e4cced2b63fa # v2.3.3 - - uses: pre-commit/action@9b88afc9cd57fd75b655d5c71bd38146d07135fe # v2.0.3 + - uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd # v3.0.1 Python: name: core / Python ${{ matrix.ver }} on ${{ matrix.os }} @@ -24,8 +24,17 @@ jobs: strategy: fail-fast: false matrix: - os: [ubuntu-20.04, macos-latest] - ver: ['3.5', '3.6', '3.7', '3.8', '3.9', '3.10', '3.11',] + os: [ubuntu-22.04] + ver: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12', '3.13'] + include: + - os: macos-latest + ver: "3.13" + - os: macos-latest + ver: "3.12" + - os: macos-latest + ver: "3.11" + - os: macos-latest + ver: "3.10" steps: - uses: actions/checkout@ee0669bd1cc54295c223e0bb666b733df41de1c5 # v2.7.0 @@ -34,6 +43,8 @@ jobs: uses: actions/setup-python@75f3110429a8c05be0e1bf360334e4cced2b63fa # v2.3.3 with: python-version: ${{ matrix.ver }} + env: + PIP_TRUSTED_HOST: "pypi.python.org pypi.org files.pythonhosted.org" - name: Install Python ${{ matrix.ver }} dependencies run: | @@ -49,27 +60,29 @@ jobs: strategy: fail-fast: false matrix: - os: [macos-latest] - ver: ['4.0'] - + os: [ubuntu-22.04] + ver: ['4.4.1'] + steps: - uses: actions/checkout@ee0669bd1cc54295c223e0bb666b733df41de1c5 # v2.7.0 - name: Set up ${{ matrix.ver }} uses: r-lib/actions/setup-r@33f03a860e4659235eb60a4d87ebc0b2ea65f722 # v2.4.0 with: r-version: ${{ matrix.ver }} - + - name: Install R ${{ matrix.ver }} system dependencies - if: matrix.os == 'ubuntu-20.04' + if: matrix.os == 'ubuntu-22.04' run: sudo apt-get update; sudo apt-get install -y libcurl4-openssl-dev qpdf libgit2-dev libharfbuzz-dev libfribidi-dev - name: Install R ${{ matrix.ver }} Rlang dependencies run: | - python3 -m pip install . + python3 -m venv path/to/venv + source path/to/venv/bin/activate + python3 -m pip install . Rscript -e 'install.packages("devtools", repos="https://cloud.r-project.org", Ncpus=8)' Rscript -e 'devtools::install_deps("R", dependencies=TRUE, repos="https://cloud.r-project.org", upgrade="default")' R CMD INSTALL R - Rscript -e 'install.packages(c("data.table", "caret", "glmnet", "Matrix", "rjson"), repos="https://cloud.r-project.org", Ncpus=8)' + Rscript -e 'install.packages(c("data.table", "caret", "glmnet", "Matrix", "rjson"), repos="https://cloud.r-project.org", Ncpus=8)' - name: Execute R tests run: | diff --git a/.gitignore b/.gitignore index aca49f0b921..b36301c7c44 100644 --- a/.gitignore +++ b/.gitignore @@ -29,3 +29,7 @@ main.js.map # Pycharm .idea +stubs/version.py + +# devtools +.devtools diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 648aaa7bf51..115953d3f36 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -6,9 +6,12 @@ repos: - id: check-yaml - id: check-json - repo: https://github.com/ambv/black - rev: 22.10.0 + rev: 24.4.2 hooks: - id: black language_version: python3 exclude: "^metaflow/_vendor/" additional_dependencies: ["click<8.1.0"] + args: [-t, py34, -t, py35, -t, py36, -t, py37, -t, py38, -t, py39, -t, py310, -t, py311, -t, py312] + + diff --git a/ADOPTERS.md b/ADOPTERS.md new file mode 100644 index 00000000000..e7701c9aa98 --- /dev/null +++ b/ADOPTERS.md @@ -0,0 +1,72 @@ +# Adopters + +Below is a partial list of organizations using Metaflow in production. If you'd like to be included in this list, please raise a pull request + +- [23andMe](https://www.23andme.com) +- [Adept](https://www.adept.ai) +- [Amazon](https://www.amazon.com) +- [Amazon Prime Video](https://www.primevideo.com) +- [Attentive](https://www.attentive.com) +- [Autodesk](https://www.autodesk.com) +- [Bosch](https://www.bosch.com) +- [Boston Consulting Group](https://www.bcg.com) +- [Carsales](https://www.carsales.com.au) +- [Carta](https://carta.com) +- [Chess.com](https://www.chess.com) +- [CloudKitchens](https://www.cloudkitchens.com) +- [Coveo](https://www.coveo.com) +- [Crexi](https://www.crexi.com) +- [Dell](https://www.dell.com) +- [Deliveroo](https://deliveroo.com) +- [DeliveryHero](https://deliveryhero.com) +- [Disney](https://disney.com) +- [Doordash](https://doordash.com) +- [DraftKings](https://www.draftkings.com) +- [DTN](https://www.dtn.com) +- [DuckDuckGo](https://www.duckduckgo.com) +- [Dyson](https://www.dyson.com) +- [Equilibrium Energy](https://www.equilibriumenergy.com) +- [Forward Financing](https://www.forwardfinancing.com) +- [Fortum](https://www.fortum.com) +- [Genesys](https://www.genesys.com) +- [Goldman Sachs](https://www.goldmansachs.com) +- [Gradle](https://www.gradle.com) +- [GSK](https://www.gsk.com) +- [Intel](https://www.intel.com) +- [Intuitive Surgical](https://www.intuitivesurgical.com) +- [JPMorgan Chase](https://www.jpmorganchase.com) +- [Lightricks](https://www.lightricks.com) +- [Medtronic](https://www.medtronic.com) +- [Merck](https://www.merck.com) +- [Morningstar](https://www.morningstar.com) +- [Mozilla](https://www.mozilla.org) +- [Netflix](https://netflixtechblog.com/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9) +- [Nextdoor](https://www.nextdoor.com) +- [Porsche](https://www.porsche.com) +- [Pratilipi](https://www.pratilipi.com) +- [Rad.ai](https://www.rad.ai) +- [Ramp](https://ramp.com) +- [Realtor](https://www.realtor.com) +- [Roku](https://www.roku.com) +- [S&P Global](https://www.spglobal.com) +- [Sainsbury's](https://www.sainsburys.co.uk) +- [Salk Institute](https://www.salk.edu) +- [Sanofi](https://www.sanofi.com) +- [SAP](https://www.sap.com) +- [SEEK](https://www.seek.com.au) +- [Shutterstock](https://www.shutterstock.com) +- [Stanford](https://www.stanford.edu) +- [Thoughtworks](https://www.thoughtworks.com) +- [Too Good To Go](https://www.toogoodtogo.com) +- [Toyota](https://www.toyota.com) +- [Upstart](https://www.upstart.com) +- [Veriff](https://www.veriff.com) +- [Verisk](https://www.verisk.com) +- [Vouch Insurance](https://www.vouchinsurance.com) +- [Wadhwani AI](https://www.wadhwani.ai) +- [Warner Media](https://www.warnermedia.com) +- [Workiva](https://www.workiva.com) +- [Zendesk](https://www.zendesk.com) +- [Zillow](https://www.zillow.com) +- [Zipline](https://www.zipline.com) +- [Zynga](https://www.zynga.com) \ No newline at end of file diff --git a/MANIFEST.in b/MANIFEST.in index fab093f1724..5248fb971d3 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,4 +1,6 @@ include LICENSE include metaflow/plugins/cards/card_modules/*.html include metaflow/plugins/cards/card_modules/*.js -include metaflow/plugins/cards/card_modules/*.css \ No newline at end of file +include metaflow/plugins/cards/card_modules/*.css +include metaflow/plugins/cards/card_viewer/*.html +recursive-include devtools * \ No newline at end of file diff --git a/README.md b/README.md index 2e3ef6a0c11..b7bb74cdf8d 100644 --- a/README.md +++ b/README.md @@ -2,49 +2,62 @@ # Metaflow -Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. +[Metaflow](https://metaflow.org) is a human-centric framework designed to help scientists and engineers **build and manage real-life AI and ML systems**. Serving teams of all sizes and scale, Metaflow streamlines the entire development lifecycleβ€”from rapid prototyping in notebooks to reliable, maintainable production deploymentsβ€”enabling teams to iterate quickly and deliver robust systems efficiently. -For more information, see [Metaflow's website](https://metaflow.org) and [documentation](https://docs.metaflow.org). +Originally developed at [Netflix](https://netflixtechblog.com/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9) and now supported by [Outerbounds](https://outerbounds.com), Metaflow is designed to boost the productivity for research and engineering teams working on [a wide variety of projects](https://netflixtechblog.com/supporting-diverse-ml-systems-at-netflix-2d2e6b6d205d), from classical statistics to state-of-the-art deep learning and foundation models. By unifying code, data, and compute at every stage, Metaflow ensures seamless, end-to-end management of real-world AI and ML systems. -## Getting Started +Today, Metaflow powers thousands of AI and ML experiences across a diverse array of companies, large and small, including Amazon, Doordash, Dyson, Goldman Sachs, Ramp, and [many others](ADOPTERS.md). At Netflix alone, Metaflow supports over 3000 AI and ML projects, executes hundreds of millions of data-intensive high-performance compute jobs processing petabytes of data and manages tens of petabytes of models and artifacts for hundreds of users across its AI, ML, data science, and engineering teams. -Getting up and running with Metaflow is easy. +## From prototype to production (and back) -### Python -Install metaflow from [pypi](https://pypi.org/project/metaflow/): +Metaflow provides a simple and friendly pythonic [API](https://docs.metaflow.org) that covers foundational needs of AI and ML systems: + + +1. [Rapid local prototyping](https://docs.metaflow.org/metaflow/basics), [support for notebooks](https://docs.metaflow.org/metaflow/managing-flows/notebook-runs), and built-in support for [experiment tracking, versioning](https://docs.metaflow.org/metaflow/client) and [visualization](https://docs.metaflow.org/metaflow/visualizing-results). +2. [Effortlessly scale horizontally and vertically in your cloud](https://docs.metaflow.org/scaling/remote-tasks/introduction), utilizing both CPUs and GPUs, with [fast data access](https://docs.metaflow.org/scaling/data) for running [massive embarrassingly parallel](https://docs.metaflow.org/metaflow/basics#foreach) as well as [gang-scheduled](https://docs.metaflow.org/scaling/remote-tasks/distributed-computing) compute workloads [reliably](https://docs.metaflow.org/scaling/failures) and [efficiently](https://docs.metaflow.org/scaling/checkpoint/introduction). +3. [Easily manage dependencies](https://docs.metaflow.org/scaling/dependencies) and [deploy with one-click](https://docs.metaflow.org/production/introduction) to highly available production orchestrators with built in support for [reactive orchestration](https://docs.metaflow.org/production/event-triggering). + +For full documentation, check out our [API Reference](https://docs.metaflow.org/api) or see our [Release Notes](https://github.com/Netflix/metaflow/releases) for the latest features and improvements. + + +## Getting started + +Getting up and running is easy. If you don't know where to start, [Metaflow sandbox](https://outerbounds.com/sandbox) will have you running and exploring in seconds. + +### Installing Metaflow + +To install Metaflow in your Python environment from [PyPI](https://pypi.org/project/metaflow/): ```sh pip install metaflow ``` - -and access tutorials by typing: +Alternatively, using [conda-forge](https://anaconda.org/conda-forge/metaflow): ```sh -metaflow tutorials pull +conda install -c conda-forge metaflow ``` -### R +Once installed, a great way to get started is by following our [tutorial](https://docs.metaflow.org/getting-started/tutorials). It walks you through creating and running your first Metaflow flow step by step. -Install Metaflow from [github](https://github.com/Netflix/metaflow/tree/master/R): +For more details on Metaflow’s features and best practices, check out: +- [How Metaflow works](https://docs.metaflow.org/metaflow/basics) +- [Additional resources](https://docs.metaflow.org/introduction/metaflow-resources) -```R -devtools::install_github("Netflix/metaflow", subdir="R") -metaflow::install() -``` +If you need help, don’t hesitate to reach out on our [Slack community](http://slack.outerbounds.co/)! -and access tutorials by typing: -```R -metaflow::pull_tutorials() -``` +### Deploying infrastructure for Metaflow in your cloud + -## Get in Touch -There are several ways to get in touch with us: -* Open an issue at: https://github.com/Netflix/metaflow -* Email us at: help@metaflow.org -* Chat with us on: http://chat.metaflow.org +While you can get started with Metaflow easily on your laptop, the main benefits of Metaflow lie in its ability to [scale out to external compute clusters](https://docs.metaflow.org/scaling/remote-tasks/introduction) +and to [deploy to production-grade workflow orchestrators](https://docs.metaflow.org/production/introduction). To benefit from these features, follow this [guide](https://outerbounds.com/engineering/welcome/) to +configure Metaflow and the infrastructure behind it appropriately. -## Contributing +## Get in touch +We'd love to hear from you. Join our community [Slack workspace](http://slack.outerbounds.co/)! + +## Contributing We welcome contributions to Metaflow. Please see our [contribution guide](https://docs.metaflow.org/introduction/contributing-to-metaflow) for more details. + diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 00000000000..dc4503118f9 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,9 @@ +# Security Policy + +We currently accept reports for vulnerabilities on all published versions of the project. + +## Reporting a Vulnerability + +You can disclose vulnerabilities securely through the [Netflix Bugcrowd](https://bugcrowd.com/netflix) site. When reporting a finding, mention the project name or repository in the title and the report will find its way to the correct people. + +Please note that at the moment, the Metaflow project does not offer a bounty for any disclosure. diff --git a/devtools/Makefile b/devtools/Makefile new file mode 100644 index 00000000000..c30db2a26bd --- /dev/null +++ b/devtools/Makefile @@ -0,0 +1,344 @@ +SHELL := /bin/bash +.SHELLFLAGS := -eu -o pipefail -c + +help: + @echo "Available targets:" + @echo " up - Start the development environment" + @echo " shell - Switch to development environment's shell" + @echo " ui - Open Metaflow UI" + @echo " dashboard - Open Minikube dashboard" + @echo " down - Stop and clean up the environment" + @echo " all-up - Start the development environment with all services" + @echo " help - Show this help message" + +HELM_VERSION := v3.14.0 +MINIKUBE_VERSION := v1.32.0 +TILT_VERSION := v0.33.11 +GUM_VERSION := v0.15.2 + +MKFILE_PATH := $(abspath $(lastword $(MAKEFILE_LIST))) +MKFILE_DIR := $(dir $(MKFILE_PATH)) +DEVTOOLS_DIR := $(MKFILE_DIR).devtools +PICK_SERVICES := $(MKFILE_DIR)pick_services.sh +MINIKUBE_DIR := $(DEVTOOLS_DIR)/minikube +MINIKUBE := $(MINIKUBE_DIR)/minikube +HELM_DIR := $(DEVTOOLS_DIR)/helm +TILT_DIR := $(DEVTOOLS_DIR)/tilt +TILT := $(TILT_DIR)/tilt +TILTFILE := $(MKFILE_DIR)/Tiltfile +MAKE_CMD := $(MAKE) -f "$(MKFILE_PATH)" + +MINIKUBE_CPUS ?= 4 +MINIKUBE_MEMORY ?= 6144 +MINIKUBE_DISK_SIZE ?= 20g + +ifeq ($(shell uname), Darwin) + minikube_os = darwin + tilt_os = mac +else + minikube_os = linux + tilt_os = linux +endif + +ifeq ($(shell uname -m), x86_64) + arch = amd64 + tilt_arch = x86_64 +else + arch = arm64 + tilt_arch = arm64 +endif + +# TODO: Move scripts to a folder + +install-helm: + @if ! command -v helm >/dev/null 2>&1; then \ + echo "πŸ“₯ Installing Helm $(HELM_VERSION)..."; \ + mkdir -p "$(HELM_DIR)"; \ + curl -fsSL https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 \ + | HELM_INSTALL_VERSION="$(HELM_VERSION)" \ + USE_SUDO="false" \ + PATH="$(HELM_DIR):$$PATH" \ + HELM_INSTALL_DIR="$(HELM_DIR)" \ + bash; \ + chmod +x "$(HELM_DIR)/helm"; \ + echo "βœ… Helm installation complete"; \ + else \ + echo "βœ… Helm is already installed at $$(command -v helm)"; \ + fi + +check-docker: + @if ! command -v docker >/dev/null 2>&1; then \ + echo "❌ Docker is not installed. Please install Docker first: https://docs.docker.com/get-docker/"; \ + exit 1; \ + fi + @echo "πŸ” Checking Docker daemon..." + @if [ "$(shell uname)" = "Darwin" ]; then \ + open -a Docker || (echo "❌ Please start Docker Desktop" && exit 1); \ + else \ + docker info >/dev/null 2>&1 || (echo "❌ Docker daemon is not running." && exit 1); \ + fi + @echo "βœ… Docker is running" + +install-brew: + @if [ "$(shell uname)" = "Darwin" ] && ! command -v brew >/dev/null 2>&1; then \ + echo "πŸ“₯ Installing Homebrew..."; \ + /bin/bash -c "$$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"; \ + echo "βœ… Homebrew installation complete"; \ + fi + +install-curl: + @if ! command -v curl >/dev/null 2>&1; then \ + echo "πŸ“₯ Installing curl..."; \ + if [ "$(shell uname)" = "Darwin" ]; then \ + HOMEBREW_NO_AUTO_UPDATE=1 brew install curl; \ + elif command -v apt-get >/dev/null 2>&1; then \ + sudo apt-get update && sudo apt-get install -y curl; \ + elif command -v yum >/dev/null 2>&1; then \ + sudo yum install -y curl; \ + elif command -v dnf >/dev/null 2>&1; then \ + sudo dnf install -y curl; \ + else \ + echo "❌ Could not install curl. Please install manually."; \ + exit 1; \ + fi; \ + echo "βœ… curl installation complete"; \ + fi + +install-gum: + @echo "πŸ” Checking if gum is installed..." + @if ! command -v gum >/dev/null 2>&1; then \ + echo "πŸ“₯ Installing gum..."; \ + if [ "$(shell uname)" = "Darwin" ]; then \ + HOMEBREW_NO_AUTO_UPDATE=1 brew install gum|| { echo "❌ Failed to install gum via Homebrew"; exit 1; }; \ + elif command -v apt-get >/dev/null 2>&1; then \ + curl -fsSL -o /tmp/gum.deb \ + "https://github.com/charmbracelet/gum/releases/download/$(GUM_VERSION)/gum_$(GUM_VERSION:v%=%)_$(arch).deb"; \ + sudo apt-get update -qq; \ + sudo apt-get install -y /tmp/gum.deb || sudo dpkg -i /tmp/gum.deb; \ + rm -f /tmp/gum.deb; \ + else \ + echo "❌ Could not determine how to install gum for your platform. Please install manually."; \ + exit 1; \ + fi; \ + echo "βœ… gum installation complete"; \ + else \ + echo "βœ… gum is already installed."; \ + fi + +setup-minikube: + @if [ ! -f "$(MINIKUBE)" ]; then \ + echo "πŸ“₯ Installing Minikube $(MINIKUBE_VERSION)"; \ + mkdir -p $(MINIKUBE_DIR); \ + curl -L --fail https://github.com/kubernetes/minikube/releases/download/$(MINIKUBE_VERSION)/minikube-$(minikube_os)-$(arch) -o $(MINIKUBE) || (echo "❌ Failed to download minikube" && exit 1); \ + chmod +x $(MINIKUBE); \ + echo "βœ… Minikube $(MINIKUBE_VERSION) installed successfully"; \ + fi + @echo "πŸ”§ Setting up Minikube $(MINIKUBE_VERSION) cluster..." + @if ! $(MINIKUBE) status >/dev/null 2>&1; then \ + echo "πŸš€ Starting new Minikube $(MINIKUBE_VERSION) cluster..."; \ + $(MINIKUBE) start \ + --cpus $(MINIKUBE_CPUS) \ + --memory $(MINIKUBE_MEMORY) \ + --disk-size $(MINIKUBE_DISK_SIZE) \ + --driver docker \ + || { echo "❌ Failed to start Minikube (check if Docker is running)"; exit 1; }; \ + echo "πŸ”Œ Enabling metrics-server and dashboard (quietly)..."; \ + $(MINIKUBE) addons enable metrics-server >/dev/null 2>&1; \ + $(MINIKUBE) addons enable dashboard >/dev/null 2>&1; \ + else \ + echo "βœ… Minikube $(MINIKUBE_VERSION) cluster is already running"; \ + fi + @echo "πŸŽ‰ Minikube $(MINIKUBE_VERSION) cluster is ready!" + +setup-tilt: + @if [ ! -f "$(TILT)" ]; then \ + echo "πŸ“₯ Installing Tilt $(TILT_VERSION)"; \ + mkdir -p $(TILT_DIR); \ + (curl -L https://github.com/tilt-dev/tilt/releases/download/$(TILT_VERSION)/tilt.$(TILT_VERSION:v%=%).$(tilt_os).$(tilt_arch).tar.gz | tar -xz -C $(TILT_DIR)) && echo "βœ… Tilt $(TILT_VERSION) installed successfully" || (echo "❌ Failed to install Tilt" && exit 1); \ + fi + +tunnel: + $(MINIKUBE) tunnel + +teardown-minikube: + @echo "πŸ›‘ Stopping Minikube $(MINIKUBE_VERSION) cluster..." + -$(MINIKUBE) stop + @echo "πŸ—‘οΈ Deleting Minikube $(MINIKUBE_VERSION) cluster..." + -$(MINIKUBE) delete --all + @echo "🧹 Removing Minikube binary..." + -rm -rf $(MINIKUBE_DIR) + @echo "βœ… Minikube $(MINIKUBE_VERSION) teardown complete" + +dashboard: + @echo "πŸ”— Opening Minikube Dashboard..." + @$(MINIKUBE) dashboard + +# make shell is symlinked to metaflow-dev shell by metaflow +up: install-brew check-docker install-curl install-gum setup-minikube install-helm setup-tilt + @echo "πŸš€ Starting up (may require sudo access)..." + @mkdir -p $(DEVTOOLS_DIR) + @echo '#!/bin/bash' > $(DEVTOOLS_DIR)/start.sh + @echo 'set -e' >> $(DEVTOOLS_DIR)/start.sh + @echo 'trap "exit" INT TERM' >> $(DEVTOOLS_DIR)/start.sh + @echo 'trap "kill 0" EXIT' >> $(DEVTOOLS_DIR)/start.sh + @echo 'eval $$($(MINIKUBE) docker-env)' >> $(DEVTOOLS_DIR)/start.sh + @echo 'if [ -n "$$SERVICES_OVERRIDE" ]; then' >> "$(DEVTOOLS_DIR)/start.sh" + @echo ' echo "🌐 Using user-provided list of services: $$SERVICES_OVERRIDE"' >> "$(DEVTOOLS_DIR)/start.sh" + @echo ' SERVICES="$$SERVICES_OVERRIDE"' >> "$(DEVTOOLS_DIR)/start.sh" + @echo 'else' >> "$(DEVTOOLS_DIR)/start.sh" + @echo ' echo "πŸ“ Selecting services..."' >> "$(DEVTOOLS_DIR)/start.sh" + @echo ' SERVICES=$$($(PICK_SERVICES))' >> "$(DEVTOOLS_DIR)/start.sh" + @echo 'fi' >> "$(DEVTOOLS_DIR)/start.sh" + @echo 'PATH="$(MINIKUBE_DIR):$(TILT_DIR):$$PATH" $(MINIKUBE) tunnel &' >> $(DEVTOOLS_DIR)/start.sh + @echo 'echo -e "πŸš€ Starting Tilt with selected services..."' >> $(DEVTOOLS_DIR)/start.sh + @echo 'echo -e "\033[1;38;5;46m\nπŸ”₯ \033[1;38;5;196mNext Steps:\033[0;38;5;46m Use \033[3mmetaflow-dev shell\033[23m to switch to the development\n environment'\''s shell and start executing your Metaflow flows.\n\033[0m"' >> "$(DEVTOOLS_DIR)/start.sh" + @echo 'PATH="$(HELM_DIR):$(MINIKUBE_DIR):$(TILT_DIR):$$PATH" SERVICES="$$SERVICES" tilt up -f $(TILTFILE)' >> $(DEVTOOLS_DIR)/start.sh + @echo 'wait' >> $(DEVTOOLS_DIR)/start.sh + @chmod +x $(DEVTOOLS_DIR)/start.sh + @$(DEVTOOLS_DIR)/start.sh + +all-up: + @echo "πŸš€ Starting up all services..." + SERVICES_OVERRIDE=all $(MAKE_CMD) up + +down: + @echo "πŸ›‘ Stopping all services..." + @-pkill -f "$(MINIKUBE) tunnel" 2>/dev/null || true + @echo "⏹️ Stopping Tilt..." + @echo "🧹 Cleaning up Minikube..." + $(MAKE_CMD) teardown-minikube + @echo "πŸ—‘οΈ Removing Tilt binary and directory..." + -rm -rf $(TILT_DIR) + @echo "🧹 Removing temporary scripts..." + -rm -rf $(DEVTOOLS_DIR) + @echo "✨ All done!" + +shell: setup-tilt + @echo "⏳ Checking if development environment is up..." + @set -eu; \ + for i in $$(seq 1 90); do \ + if "$(TILT)" get session >/dev/null 2>&1; then \ + found_session=1; \ + break; \ + else \ + sleep 2; \ + fi; \ + done; \ + if [ -z "$${found_session:-}" ]; then \ + echo "❌ Development environment is not up."; \ + echo " Please run 'metaflow-dev up' in another terminal, then re-run 'metaflow-dev shell'."; \ + exit 1; \ + fi + @echo "⏳ Waiting for development environment to be ready..." + @while true; do \ + "$(TILT)" get uiresource generate-configs >/dev/null 2>&1; \ + status=$$?; \ + if [ $$status -eq 0 ]; then \ + if ! "$(TILT)" wait --for=condition=Ready uiresource/generate-configs --timeout=300s; then \ + echo "❌ Timed out waiting for development environment to be ready."; \ + exit 1; \ + fi; \ + break; \ + elif [ $$status -eq 127 ]; then \ + echo "❌ Development environment is not up."; \ + echo " Please run 'metaflow-dev up' in another terminal, then re-run 'metaflow-dev shell'."; \ + exit 1; \ + else \ + sleep 1; \ + fi; \ + done + @echo "πŸ”§ Starting a new shell for development environment..." + @bash -c '\ + if [ -n "$$SHELL" ]; then \ + user_shell="$$SHELL"; \ + else \ + user_shell="$(SHELL)"; \ + fi; \ + echo "πŸ”Ž Using $$user_shell for interactive session."; \ + echo "🐍 If you installed Metaflow in a virtual environment, activate it now."; \ + if [ -f "$(DEVTOOLS_DIR)/aws_config" ]; then \ + env METAFLOW_HOME="$(DEVTOOLS_DIR)" \ + METAFLOW_PROFILE=local \ + AWS_CONFIG_FILE="$(DEVTOOLS_DIR)/aws_config" \ + AWS_SHARED_CREDENTIALS_FILE= \ + "$$user_shell" -i; \ + else \ + env METAFLOW_HOME="$(DEVTOOLS_DIR)" \ + METAFLOW_PROFILE=local \ + "$$user_shell" -i; \ + fi' + + +# @echo '$(MAKE_CMD) create-dev-shell' >> $(DEVTOOLS_DIR)/start.sh +# @echo 'rm -f /tmp/metaflow-devshell-*' >> $(DEVTOOLS_DIR)/start.sh +create-dev-shell: setup-tilt + @bash -c '\ + SHELL_PATH=/tmp/metaflow-dev-shell-$$$$ && \ + echo "#!/bin/bash" > $$SHELL_PATH && \ + echo "set -e" >> $$SHELL_PATH && \ + echo "" >> $$SHELL_PATH && \ + echo "echo \"⏳ Checking if development environment is up...\"" >> $$SHELL_PATH && \ + echo "if ! $(TILT) get session >/dev/null 2>&1; then" >> $$SHELL_PATH && \ + echo " echo \"❌ Development environment is not up.\"" >> $$SHELL_PATH && \ + echo " echo \" Please run '\''make up'\'' in another terminal, then re-run this script.\"" >> $$SHELL_PATH && \ + echo " exit 1" >> $$SHELL_PATH && \ + echo "fi" >> $$SHELL_PATH && \ + echo "" >> $$SHELL_PATH && \ + echo "echo \"⏳ Waiting for development environment to be ready...\"" >> $$SHELL_PATH && \ + echo "if ! $(TILT) wait --for=condition=Ready uiresource/generate-configs --timeout=300s; then" >> $$SHELL_PATH && \ + echo " echo \"❌ Timed out waiting for development environment to be ready.\"" >> $$SHELL_PATH && \ + echo " exit 1" >> $$SHELL_PATH && \ + echo "fi" >> $$SHELL_PATH && \ + echo "" >> $$SHELL_PATH && \ + echo "echo \"πŸ”§ Starting a new shell for development environment...\"" >> $$SHELL_PATH && \ + echo "if [ -n \"\$$SHELL\" ]; then" >> $$SHELL_PATH && \ + echo " user_shell=\"\$$SHELL\"" >> $$SHELL_PATH && \ + echo "else" >> $$SHELL_PATH && \ + echo " user_shell=\"$(SHELL)\"" >> $$SHELL_PATH && \ + echo "fi" >> $$SHELL_PATH && \ + echo "echo \"πŸ”Ž Using \$$user_shell for interactive session.\"" >> $$SHELL_PATH && \ + echo "echo \"🐍 If you installed Metaflow in a virtual environment, activate it now.\"" >> $$SHELL_PATH && \ + echo "if [ -f \"$(DEVTOOLS_DIR)/aws_config\" ]; then" >> $$SHELL_PATH && \ + echo " env METAFLOW_HOME=\"$(DEVTOOLS_DIR)\" \\" >> $$SHELL_PATH && \ + echo " METAFLOW_PROFILE=local \\" >> $$SHELL_PATH && \ + echo " AWS_CONFIG_FILE=\"$(DEVTOOLS_DIR)/aws_config\" \\" >> $$SHELL_PATH && \ + echo " AWS_SHARED_CREDENTIALS_FILE= \\" >> $$SHELL_PATH && \ + echo " \"\$$user_shell\" -i" >> $$SHELL_PATH && \ + echo "else" >> $$SHELL_PATH && \ + echo " env METAFLOW_HOME=\"$(DEVTOOLS_DIR)\" \\" >> $$SHELL_PATH && \ + echo " METAFLOW_PROFILE=local \\" >> $$SHELL_PATH && \ + echo " \"\$$user_shell\" -i" >> $$SHELL_PATH && \ + echo "fi" >> $$SHELL_PATH && \ + chmod +x $$SHELL_PATH && \ + echo "✨ Created $$SHELL_PATH" && \ + echo "πŸ”‘ Execute it from ANY directory to switch to development environment shell!" \ + ' + +ui: setup-tilt + @echo "⏳ Checking if the development environment is up..." + @if ! $(TILT) get session >/dev/null 2>&1; then \ + echo "❌ Development environment is not up."; \ + echo " Please run 'metaflow-dev up' in another terminal, then re-run 'metaflow-dev ui'."; \ + exit 1; \ + fi + @echo "⏳ Waiting for Metaflow UI to be ready..." + @while true; do \ + "$(TILT)" get uiresource metaflow-ui >/dev/null 2>&1; \ + status=$$?; \ + if [ $$status -eq 0 ]; then \ + "$(TILT)" wait --for=condition=Ready uiresource/metaflow-ui; \ + break; \ + elif [ $$status -eq 127 ]; then \ + echo "❌ Development environment is not up."; \ + echo " Please run 'metaflow-dev up' in another terminal, then re-run 'metaflow-dev shell'."; \ + exit 1; \ + else \ + sleep 1; \ + fi; \ + done + @echo "πŸ”— Opening Metaflow UI at http://localhost:3000" + @open http://localhost:3000 + +.PHONY: install-helm setup-minikube setup-tilt teardown-minikube tunnel up down check-docker install-curl install-gum install-brew up down dashboard shell ui all-up help + +.DEFAULT_GOAL := help diff --git a/devtools/Tiltfile b/devtools/Tiltfile new file mode 100644 index 00000000000..620671b0137 --- /dev/null +++ b/devtools/Tiltfile @@ -0,0 +1,651 @@ +# Tilt configuration for running Metaflow on a local Kubernetes stack +# +# Usage: +# Start the development environment: +# $ tilt up +# Stop and clean up: +# $ tilt down + +# TODO: +# 1. move away from temporary images +# 2. introduce kueue and jobsets +# 3. lock versions + +version_settings(constraint='>=0.22.2') +allow_k8s_contexts('minikube') + +components = { + "metadata-service": ["postgresql"], + "ui": ["postgresql", "minio"], + "minio": [], + "postgresql": [], + "argo-workflows": [], + "argo-events": ["argo-workflows"], +} + +services_env = os.getenv("SERVICES", "").strip().lower() + +if services_env: + if services_env == "all": + requested_components = list(components.keys()) + else: + requested_components = services_env.split(",") +else: + requested_components = list(components.keys()) + +metaflow_config = {} +metaflow_config["METAFLOW_KUBERNETES_NAMESPACE"] = "default" + +aws_config = [] + +def write_config_files(): + metaflow_json = encode_json(metaflow_config) + cmd = '''cat > .devtools/config_local.json < .devtools/aws_config <&2 + +gum style "Select services to deploy (press enter to select all):" \ + --foreground "$COLOR" \ + --bold >&2 + +pretty_print() { + local items=("$@") + + if [ "${#items[@]}" -eq 1 ]; then + echo "${items[0]}" + return + fi + + if [ "${#items[@]}" -eq 2 ]; then + echo "${items[0]} and ${items[1]}" + return + fi + + local last_item="${items[-1]}" + unset 'items[-1]' + echo "$(IFS=,; echo "${items[*]}"), and $last_item" +} + +pretty_print() { + local items=("$@") + local length=${#items[@]} + + if [ "$length" -eq 0 ]; then + echo "(none)" + return + fi + + if [ "$length" -eq 1 ]; then + echo "${items[0]}" + return + fi + + if [ "$length" -eq 2 ]; then + echo "${items[0]} and ${items[1]}" + return + fi + + local last_index=$((length - 1)) + local last_item="${items[$last_index]}" + unset 'items[last_index]' + + local joined + IFS="," + joined="${items[*]}" + unset IFS + joined="${joined//,/, }" + + echo "$joined, and $last_item" +} + +SELECTED="$( + gum choose "${SERVICE_OPTIONS[@]}" \ + --no-limit \ + --cursor.foreground="$COLOR" \ + --selected.foreground="$COLOR" +)" + +SELECTED_SERVICES=() +while IFS= read -r line; do + [ -n "$line" ] && SELECTED_SERVICES+=("$line") +done <<< "$SELECTED" + +# If nothing was chosen, default to all +if [ -z "$SELECTED_SERVICES" ]; then + gum style "πŸ™… No services selected. Deploying all..." --foreground "$COLOR" >&2 + SELECTED_SERVICES=("${SERVICE_OPTIONS[@]}") +fi + +PRINTABLE="$(pretty_print "${SELECTED_SERVICES[@]}")" +gum style "βœ… Deploying $PRINTABLE" --foreground "$COLOR" >&2 + +echo "$(IFS=,; echo "${SELECTED_SERVICES[*]}")" \ No newline at end of file diff --git a/docs/cards.md b/docs/cards.md index 5bddab2b729..900384861cc 100644 --- a/docs/cards.md +++ b/docs/cards.md @@ -121,7 +121,7 @@ PATH_TO_CUSTOM_HTML = 'myhtml.html' class CustomCard(MetaflowCard): type = "custom_card" - def __init__(self, options={"no_header": True}, graph=None,components=[]): + def __init__(self, options={"no_header": True}, graph=None, components=[], flow=None, **kwargs): super().__init__() self._no_header = True self._graph = graph @@ -177,7 +177,7 @@ class CustomCard(MetaflowCard): HTML = "{data}" - def __init__(self, options={"no_header": True}, graph=None,components=[]): + def __init__(self, options={"no_header": True}, graph=None, components=[], flow=None, **kwargs): super().__init__() self._no_header = True self._graph = graph @@ -276,7 +276,7 @@ class YCard(MetaflowCard): ALLOW_USER_COMPONENTS = True - def __init__(self, options={}, components=[], graph=None): + def __init__(self, options={}, components=[], graph=None, flow=None, **kwargs): self._components = components def render(self, task): diff --git a/docs/metaflow.svg b/docs/metaflow.svg new file mode 100644 index 00000000000..40c05465188 --- /dev/null +++ b/docs/metaflow.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/docs/multicloud.png b/docs/multicloud.png new file mode 100644 index 00000000000..b63bcfc6636 Binary files /dev/null and b/docs/multicloud.png differ diff --git a/docs/prototype-to-prod.png b/docs/prototype-to-prod.png new file mode 100644 index 00000000000..13bbb39a564 Binary files /dev/null and b/docs/prototype-to-prod.png differ diff --git a/metaflow/R.py b/metaflow/R.py index e24dbf5c2bc..9a758dfe987 100644 --- a/metaflow/R.py +++ b/metaflow/R.py @@ -1,7 +1,9 @@ import os -import imp +import sys +from importlib import util as imp_util, machinery as imp_machinery from tempfile import NamedTemporaryFile +from . import parameters from .util import to_bytes R_FUNCTIONS = {} @@ -70,6 +72,26 @@ def working_dir(): return None +def load_module_from_path(module_name: str, path: str): + """ + Loads a module from a given path + + Parameters + ---------- + module_name: str + Name to assign for the loaded module. Usable for importing after loading. + path: str + path to the file to be loaded + """ + loader = imp_machinery.SourceFileLoader(module_name, path) + spec = imp_util.spec_from_loader(loader.name, loader) + module = imp_util.module_from_spec(spec) + loader.exec_module(module) + # Required in order to be able to import the module by name later. + sys.modules[module_name] = module + return module + + def run( flow_script, r_functions, @@ -100,19 +122,21 @@ def run( full_cmdline[0] = os.path.basename(full_cmdline[0]) with NamedTemporaryFile(prefix="metaflowR.", delete=False) as tmp: tmp.write(to_bytes(flow_script)) - module = imp.load_source("metaflowR", tmp.name) + module = load_module_from_path("metaflowR", tmp.name) flow = module.FLOW(use_cli=False) from . import exception - from . import cli try: - cli.main( - flow, - args=metaflow_args, - handle_exceptions=False, - entrypoint=full_cmdline[: -len(metaflow_args)], - ) + with parameters.flow_context(flow.__class__) as _: + from . import cli + + cli.main( + flow, + args=metaflow_args, + handle_exceptions=False, + entrypoint=full_cmdline[: -len(metaflow_args)], + ) except exception.MetaflowException as e: cli.print_metaflow_exception(e) os.remove(tmp.name) diff --git a/metaflow/__init__.py b/metaflow/__init__.py index 646550a504c..0eba0da3f33 100644 --- a/metaflow/__init__.py +++ b/metaflow/__init__.py @@ -42,14 +42,8 @@ class and related decorators. Metaflow GitHub page. """ -import importlib +import os import sys -import types - -from os import path - -CURRENT_DIRECTORY = path.dirname(path.abspath(__file__)) -INFO_FILE = path.join(path.dirname(CURRENT_DIRECTORY), "INFO") from metaflow.extension_support import ( alias_submodules, @@ -61,7 +55,6 @@ class and related decorators. _ext_debug, ) - # We load the module overrides *first* explicitly. Non overrides can be loaded # in toplevel as well but these can be loaded first if needed. Note that those # modules should be careful not to include anything in Metaflow at their top-level @@ -79,9 +72,14 @@ class and related decorators. ) tl_module = m.module.__dict__.get("toplevel", None) if tl_module is not None: - _tl_modules.append(".".join([EXT_PKG, m.tl_package, "toplevel", tl_module])) + _tl_modules.append( + ( + m.package_name, + ".".join([EXT_PKG, m.tl_package, "toplevel", tl_module]), + ) + ) _ext_debug("Got overrides to load: %s" % _override_modules) - _ext_debug("Got top-level imports: %s" % _tl_modules) + _ext_debug("Got top-level imports: %s" % str(_tl_modules)) except Exception as e: _ext_debug("Error in importing toplevel/overrides: %s" % e) @@ -98,14 +96,21 @@ class and related decorators. from .metaflow_profile import profile # current runtime singleton -from .current import current +from .metaflow_current import current # Flow spec from .flowspec import FlowSpec -from .parameters import Parameter, JSONTypeClass +from .parameters import Parameter, JSONTypeClass, JSONType -JSONType = JSONTypeClass() +from .user_configs.config_parameters import Config, ConfigValue, config_expr +from .user_decorators.user_step_decorator import ( + UserStepDecorator, + StepMutator, + user_step_decorator, + USER_SKIP_STEP, +) +from .user_decorators.user_flow_decorator import FlowMutator # data layer # For historical reasons, we make metaflow.plugins.datatools accessible as @@ -120,11 +125,17 @@ class and related decorators. # Decorators from .decorators import step, _import_plugin_decorators + +# Parsers (for configs) for now +from .plugins import _import_tl_plugins + +_import_tl_plugins(globals()) + # this auto-generates decorator functions from Decorator objects # in the top-level metaflow namespace _import_plugin_decorators(globals()) -# Setting card import for only python 3.4 -if sys.version_info[0] >= 3 and sys.version_info[1] >= 4: +# Setting card import for only python 3.6 +if sys.version_info[0] >= 3 and sys.version_info[1] >= 6: from . import cards # Client @@ -143,9 +154,20 @@ class and related decorators. DataArtifact, ) -__version_addl__ = [] +# Import data class within tuple_util but not introduce new symbols. +from . import tuple_util + +# Runner API +if sys.version_info >= (3, 7): + from .runner.metaflow_runner import Runner + from .runner.nbrun import NBRunner + from .runner.deployer import Deployer + from .runner.deployer import DeployedFlow + from .runner.nbdeploy import NBDeployer + +__ext_tl_modules__ = [] _ext_debug("Loading top-level modules") -for m in _tl_modules: +for pkg_name, m in _tl_modules: extension_module = load_module(m) if extension_module: tl_package = m.split(".")[1] @@ -153,15 +175,7 @@ class and related decorators. lazy_load_aliases( alias_submodules(extension_module, tl_package, None, extra_indent=True) ) - version_info = getattr(extension_module, "__mf_extensions__", "") - if extension_module.__version__: - version_info = "%s(%s)" % (version_info, extension_module.__version__) - __version_addl__.append(version_info) - -if __version_addl__: - __version_addl__ = ";".join(__version_addl__) -else: - __version_addl__ = None + __ext_tl_modules__.append((pkg_name, extension_module)) # Erase all temporary names to avoid leaking things for _n in [ @@ -188,11 +202,6 @@ class and related decorators. pass del globals()["_n"] -import pkg_resources +from .version import metaflow_version as _mf_version -try: - __version__ = pkg_resources.get_distribution("metaflow").version -except: - # this happens on remote environments since the job package - # does not have a version - __version__ = None +__version__ = _mf_version diff --git a/metaflow/_vendor/click/core.py b/metaflow/_vendor/click/core.py index f58bf26d2f9..69604c40c51 100644 --- a/metaflow/_vendor/click/core.py +++ b/metaflow/_vendor/click/core.py @@ -719,7 +719,7 @@ def main( prog_name=None, complete_var=None, standalone_mode=True, - **extra + **extra, ): """This is the way to invoke a script with all the bells and whistles as a command line application. This will always terminate @@ -1101,7 +1101,7 @@ def __init__( subcommand_metavar=None, chain=False, result_callback=None, - **attrs + **attrs, ): Command.__init__(self, name, **attrs) if no_args_is_help is None: @@ -1463,6 +1463,7 @@ class Parameter(object): parameter. The old callback format will still work, but it will raise a warning to give you a chance to migrate the code easier. """ + param_type_name = "parameter" def __init__( @@ -1708,7 +1709,7 @@ def __init__( hidden=False, show_choices=True, show_envvar=False, - **attrs + **attrs, ): default_is_missing = attrs.get("default", _missing) is _missing Parameter.__init__(self, param_decls, type=type, **attrs) diff --git a/metaflow/_vendor/imghdr.LICENSE b/metaflow/_vendor/imghdr.LICENSE new file mode 100644 index 00000000000..c046fc7d756 --- /dev/null +++ b/metaflow/_vendor/imghdr.LICENSE @@ -0,0 +1,48 @@ +Copyright Β© 2001-2023 Python Software Foundation; All Rights Reserved + +This code originally taken from the Python 3.11.3 distribution +and it is therefore now released under the following Python-style +license: + +1. This LICENSE AGREEMENT is between the Python Software Foundation ("PSF"), and + the Individual or Organization ("Licensee") accessing and + otherwise using imghdr software in source or binary form and + its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby + grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, + analyze, test, perform and/or display publicly, prepare derivative works, + distribute, and otherwise use imghdr alone or in any derivative + version, provided, however, that PSF's License Agreement and PSF's notice of + copyright, i.e., "Copyright Β© 2001-2023 Python Software Foundation; All Rights + Reserved" are retained in imghdr alone or in any derivative version + prepared by Licensee. + +3. In the event Licensee prepares a derivative work that is based on or + incorporates imghdr or any part thereof, and wants to make the + derivative work available to others as provided herein, then Licensee hereby + agrees to include in any such work a brief summary of the + changes made to imghdr. + +4. PSF is making imghdr available to Licensee on an "AS IS" basis. + PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF + EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND DISCLAIMS ANY REPRESENTATION OR + WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE + USE OF IMGHDR WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. + +5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF IMGHDR + FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF + MODIFYING, DISTRIBUTING, OR OTHERWISE USING IMGHDR, OR ANY DERIVATIVE + THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material breach of + its terms and conditions. + +7. Nothing in this License Agreement shall be deemed to create any relationship + of agency, partnership, or joint venture between PSF and Licensee. This License + Agreement does not grant permission to use PSF trademarks or trade name in a + trademark sense to endorse or promote products or services of Licensee, or any + third party. + +8. By copying, installing or otherwise using imghdr, Licensee agrees + to be bound by the terms and conditions of this License Agreement. diff --git a/metaflow/_vendor/imghdr/__init__.py b/metaflow/_vendor/imghdr/__init__.py new file mode 100644 index 00000000000..33868883470 --- /dev/null +++ b/metaflow/_vendor/imghdr/__init__.py @@ -0,0 +1,180 @@ +"""Recognize image file formats based on their first few bytes.""" + +from os import PathLike +import warnings + +__all__ = ["what"] + + +warnings._deprecated(__name__, remove=(3, 13)) + + +#-------------------------# +# Recognize image headers # +#-------------------------# + +def what(file, h=None): + """Return the type of image contained in a file or byte stream.""" + f = None + try: + if h is None: + if isinstance(file, (str, PathLike)): + f = open(file, 'rb') + h = f.read(32) + else: + location = file.tell() + h = file.read(32) + file.seek(location) + for tf in tests: + res = tf(h, f) + if res: + return res + finally: + if f: f.close() + return None + + +#---------------------------------# +# Subroutines per image file type # +#---------------------------------# + +tests = [] + +def test_jpeg(h, f): + """Test for JPEG data with JFIF or Exif markers; and raw JPEG.""" + if h[6:10] in (b'JFIF', b'Exif'): + return 'jpeg' + elif h[:4] == b'\xff\xd8\xff\xdb': + return 'jpeg' + +tests.append(test_jpeg) + +def test_png(h, f): + """Verify if the image is a PNG.""" + if h.startswith(b'\211PNG\r\n\032\n'): + return 'png' + +tests.append(test_png) + +def test_gif(h, f): + """Verify if the image is a GIF ('87 or '89 variants).""" + if h[:6] in (b'GIF87a', b'GIF89a'): + return 'gif' + +tests.append(test_gif) + +def test_tiff(h, f): + """Verify if the image is a TIFF (can be in Motorola or Intel byte order).""" + if h[:2] in (b'MM', b'II'): + return 'tiff' + +tests.append(test_tiff) + +def test_rgb(h, f): + """test for the SGI image library.""" + if h.startswith(b'\001\332'): + return 'rgb' + +tests.append(test_rgb) + +def test_pbm(h, f): + """Verify if the image is a PBM (portable bitmap).""" + if len(h) >= 3 and \ + h[0] == ord(b'P') and h[1] in b'14' and h[2] in b' \t\n\r': + return 'pbm' + +tests.append(test_pbm) + +def test_pgm(h, f): + """Verify if the image is a PGM (portable graymap).""" + if len(h) >= 3 and \ + h[0] == ord(b'P') and h[1] in b'25' and h[2] in b' \t\n\r': + return 'pgm' + +tests.append(test_pgm) + +def test_ppm(h, f): + """Verify if the image is a PPM (portable pixmap).""" + if len(h) >= 3 and \ + h[0] == ord(b'P') and h[1] in b'36' and h[2] in b' \t\n\r': + return 'ppm' + +tests.append(test_ppm) + +def test_rast(h, f): + """test for the Sun raster file.""" + if h.startswith(b'\x59\xA6\x6A\x95'): + return 'rast' + +tests.append(test_rast) + +def test_xbm(h, f): + """Verify if the image is a X bitmap (X10 or X11).""" + if h.startswith(b'#define '): + return 'xbm' + +tests.append(test_xbm) + +def test_bmp(h, f): + """Verify if the image is a BMP file.""" + if h.startswith(b'BM'): + return 'bmp' + +tests.append(test_bmp) + +def test_webp(h, f): + """Verify if the image is a WebP.""" + if h.startswith(b'RIFF') and h[8:12] == b'WEBP': + return 'webp' + +tests.append(test_webp) + +def test_exr(h, f): + """verify is the image ia a OpenEXR fileOpenEXR.""" + if h.startswith(b'\x76\x2f\x31\x01'): + return 'exr' + +tests.append(test_exr) + +#--------------------# +# Small test program # +#--------------------# + +def test(): + import sys + recursive = 0 + if sys.argv[1:] and sys.argv[1] == '-r': + del sys.argv[1:2] + recursive = 1 + try: + if sys.argv[1:]: + testall(sys.argv[1:], recursive, 1) + else: + testall(['.'], recursive, 1) + except KeyboardInterrupt: + sys.stderr.write('\n[Interrupted]\n') + sys.exit(1) + +def testall(list, recursive, toplevel): + import sys + import os + for filename in list: + if os.path.isdir(filename): + print(filename + '/:', end=' ') + if recursive or toplevel: + print('recursing down:') + import glob + names = glob.glob(os.path.join(glob.escape(filename), '*')) + testall(names, recursive, 0) + else: + print('*** directory (use -r) ***') + else: + print(filename + ':', end=' ') + sys.stdout.flush() + try: + print(what(filename)) + except OSError: + print('*** not found ***') + +if __name__ == '__main__': + test() diff --git a/metaflow/_vendor/v3_5/importlib_metadata.LICENSE b/metaflow/_vendor/importlib_metadata.LICENSE similarity index 100% rename from metaflow/_vendor/v3_5/importlib_metadata.LICENSE rename to metaflow/_vendor/importlib_metadata.LICENSE diff --git a/metaflow/_vendor/importlib_metadata/__init__.py b/metaflow/_vendor/importlib_metadata/__init__.py new file mode 100644 index 00000000000..d6c84fb70e9 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/__init__.py @@ -0,0 +1,1063 @@ +import os +import re +import abc +import csv +import sys +from metaflow._vendor import zipp +import email +import pathlib +import operator +import textwrap +import warnings +import functools +import itertools +import posixpath +import collections + +from . import _adapters, _meta +from ._collections import FreezableDefaultDict, Pair +from ._compat import ( + NullFinder, + install, + pypy_partial, +) +from ._functools import method_cache, pass_none +from ._itertools import always_iterable, unique_everseen +from ._meta import PackageMetadata, SimplePath + +from contextlib import suppress +from importlib import import_module +from importlib.abc import MetaPathFinder +from itertools import starmap +from typing import List, Mapping, Optional, Union + + +__all__ = [ + 'Distribution', + 'DistributionFinder', + 'PackageMetadata', + 'PackageNotFoundError', + 'distribution', + 'distributions', + 'entry_points', + 'files', + 'metadata', + 'packages_distributions', + 'requires', + 'version', +] + + +class PackageNotFoundError(ModuleNotFoundError): + """The package was not found.""" + + def __str__(self): + return f"No package metadata was found for {self.name}" + + @property + def name(self): + (name,) = self.args + return name + + +class Sectioned: + """ + A simple entry point config parser for performance + + >>> for item in Sectioned.read(Sectioned._sample): + ... print(item) + Pair(name='sec1', value='# comments ignored') + Pair(name='sec1', value='a = 1') + Pair(name='sec1', value='b = 2') + Pair(name='sec2', value='a = 2') + + >>> res = Sectioned.section_pairs(Sectioned._sample) + >>> item = next(res) + >>> item.name + 'sec1' + >>> item.value + Pair(name='a', value='1') + >>> item = next(res) + >>> item.value + Pair(name='b', value='2') + >>> item = next(res) + >>> item.name + 'sec2' + >>> item.value + Pair(name='a', value='2') + >>> list(res) + [] + """ + + _sample = textwrap.dedent( + """ + [sec1] + # comments ignored + a = 1 + b = 2 + + [sec2] + a = 2 + """ + ).lstrip() + + @classmethod + def section_pairs(cls, text): + return ( + section._replace(value=Pair.parse(section.value)) + for section in cls.read(text, filter_=cls.valid) + if section.name is not None + ) + + @staticmethod + def read(text, filter_=None): + lines = filter(filter_, map(str.strip, text.splitlines())) + name = None + for value in lines: + section_match = value.startswith('[') and value.endswith(']') + if section_match: + name = value.strip('[]') + continue + yield Pair(name, value) + + @staticmethod + def valid(line): + return line and not line.startswith('#') + + +class DeprecatedTuple: + """ + Provide subscript item access for backward compatibility. + + >>> recwarn = getfixture('recwarn') + >>> ep = EntryPoint(name='name', value='value', group='group') + >>> ep[:] + ('name', 'value', 'group') + >>> ep[0] + 'name' + >>> len(recwarn) + 1 + """ + + _warn = functools.partial( + warnings.warn, + "EntryPoint tuple interface is deprecated. Access members by name.", + DeprecationWarning, + stacklevel=pypy_partial(2), + ) + + def __getitem__(self, item): + self._warn() + return self._key()[item] + + +class EntryPoint(DeprecatedTuple): + """An entry point as defined by Python packaging conventions. + + See `the packaging docs on entry points + `_ + for more information. + """ + + pattern = re.compile( + r'(?P[\w.]+)\s*' + r'(:\s*(?P[\w.]+))?\s*' + r'(?P\[.*\])?\s*$' + ) + """ + A regular expression describing the syntax for an entry point, + which might look like: + + - module + - package.module + - package.module:attribute + - package.module:object.attribute + - package.module:attr [extra1, extra2] + + Other combinations are possible as well. + + The expression is lenient about whitespace around the ':', + following the attr, and following any extras. + """ + + dist: Optional['Distribution'] = None + + def __init__(self, name, value, group): + vars(self).update(name=name, value=value, group=group) + + def load(self): + """Load the entry point from its definition. If only a module + is indicated by the value, return that module. Otherwise, + return the named object. + """ + match = self.pattern.match(self.value) + module = import_module(match.group('module')) + attrs = filter(None, (match.group('attr') or '').split('.')) + return functools.reduce(getattr, attrs, module) + + @property + def module(self): + match = self.pattern.match(self.value) + return match.group('module') + + @property + def attr(self): + match = self.pattern.match(self.value) + return match.group('attr') + + @property + def extras(self): + match = self.pattern.match(self.value) + return list(re.finditer(r'\w+', match.group('extras') or '')) + + def _for(self, dist): + vars(self).update(dist=dist) + return self + + def __iter__(self): + """ + Supply iter so one may construct dicts of EntryPoints by name. + """ + msg = ( + "Construction of dict of EntryPoints is deprecated in " + "favor of EntryPoints." + ) + warnings.warn(msg, DeprecationWarning) + return iter((self.name, self)) + + def matches(self, **params): + attrs = (getattr(self, param) for param in params) + return all(map(operator.eq, params.values(), attrs)) + + def _key(self): + return self.name, self.value, self.group + + def __lt__(self, other): + return self._key() < other._key() + + def __eq__(self, other): + return self._key() == other._key() + + def __setattr__(self, name, value): + raise AttributeError("EntryPoint objects are immutable.") + + def __repr__(self): + return ( + f'EntryPoint(name={self.name!r}, value={self.value!r}, ' + f'group={self.group!r})' + ) + + def __hash__(self): + return hash(self._key()) + + +class DeprecatedList(list): + """ + Allow an otherwise immutable object to implement mutability + for compatibility. + + >>> recwarn = getfixture('recwarn') + >>> dl = DeprecatedList(range(3)) + >>> dl[0] = 1 + >>> dl.append(3) + >>> del dl[3] + >>> dl.reverse() + >>> dl.sort() + >>> dl.extend([4]) + >>> dl.pop(-1) + 4 + >>> dl.remove(1) + >>> dl += [5] + >>> dl + [6] + [1, 2, 5, 6] + >>> dl + (6,) + [1, 2, 5, 6] + >>> dl.insert(0, 0) + >>> dl + [0, 1, 2, 5] + >>> dl == [0, 1, 2, 5] + True + >>> dl == (0, 1, 2, 5) + True + >>> len(recwarn) + 1 + """ + + _warn = functools.partial( + warnings.warn, + "EntryPoints list interface is deprecated. Cast to list if needed.", + DeprecationWarning, + stacklevel=pypy_partial(2), + ) + + def _wrap_deprecated_method(method_name: str): # type: ignore + def wrapped(self, *args, **kwargs): + self._warn() + return getattr(super(), method_name)(*args, **kwargs) + + return wrapped + + for method_name in [ + '__setitem__', + '__delitem__', + 'append', + 'reverse', + 'extend', + 'pop', + 'remove', + '__iadd__', + 'insert', + 'sort', + ]: + locals()[method_name] = _wrap_deprecated_method(method_name) + + def __add__(self, other): + if not isinstance(other, tuple): + self._warn() + other = tuple(other) + return self.__class__(tuple(self) + other) + + def __eq__(self, other): + if not isinstance(other, tuple): + self._warn() + other = tuple(other) + + return tuple(self).__eq__(other) + + +class EntryPoints(DeprecatedList): + """ + An immutable collection of selectable EntryPoint objects. + """ + + __slots__ = () + + def __getitem__(self, name): # -> EntryPoint: + """ + Get the EntryPoint in self matching name. + """ + if isinstance(name, int): + warnings.warn( + "Accessing entry points by index is deprecated. " + "Cast to tuple if needed.", + DeprecationWarning, + stacklevel=2, + ) + return super().__getitem__(name) + try: + return next(iter(self.select(name=name))) + except StopIteration: + raise KeyError(name) + + def select(self, **params): + """ + Select entry points from self that match the + given parameters (typically group and/or name). + """ + return EntryPoints(ep for ep in self if ep.matches(**params)) + + @property + def names(self): + """ + Return the set of all names of all entry points. + """ + return {ep.name for ep in self} + + @property + def groups(self): + """ + Return the set of all groups of all entry points. + + For coverage while SelectableGroups is present. + >>> EntryPoints().groups + set() + """ + return {ep.group for ep in self} + + @classmethod + def _from_text_for(cls, text, dist): + return cls(ep._for(dist) for ep in cls._from_text(text)) + + @staticmethod + def _from_text(text): + return ( + EntryPoint(name=item.value.name, value=item.value.value, group=item.name) + for item in Sectioned.section_pairs(text or '') + ) + + +class Deprecated: + """ + Compatibility add-in for mapping to indicate that + mapping behavior is deprecated. + + >>> recwarn = getfixture('recwarn') + >>> class DeprecatedDict(Deprecated, dict): pass + >>> dd = DeprecatedDict(foo='bar') + >>> dd.get('baz', None) + >>> dd['foo'] + 'bar' + >>> list(dd) + ['foo'] + >>> list(dd.keys()) + ['foo'] + >>> 'foo' in dd + True + >>> list(dd.values()) + ['bar'] + >>> len(recwarn) + 1 + """ + + _warn = functools.partial( + warnings.warn, + "SelectableGroups dict interface is deprecated. Use select.", + DeprecationWarning, + stacklevel=pypy_partial(2), + ) + + def __getitem__(self, name): + self._warn() + return super().__getitem__(name) + + def get(self, name, default=None): + self._warn() + return super().get(name, default) + + def __iter__(self): + self._warn() + return super().__iter__() + + def __contains__(self, *args): + self._warn() + return super().__contains__(*args) + + def keys(self): + self._warn() + return super().keys() + + def values(self): + self._warn() + return super().values() + + +class SelectableGroups(Deprecated, dict): + """ + A backward- and forward-compatible result from + entry_points that fully implements the dict interface. + """ + + @classmethod + def load(cls, eps): + by_group = operator.attrgetter('group') + ordered = sorted(eps, key=by_group) + grouped = itertools.groupby(ordered, by_group) + return cls((group, EntryPoints(eps)) for group, eps in grouped) + + @property + def _all(self): + """ + Reconstruct a list of all entrypoints from the groups. + """ + groups = super(Deprecated, self).values() + return EntryPoints(itertools.chain.from_iterable(groups)) + + @property + def groups(self): + return self._all.groups + + @property + def names(self): + """ + for coverage: + >>> SelectableGroups().names + set() + """ + return self._all.names + + def select(self, **params): + if not params: + return self + return self._all.select(**params) + + +class PackagePath(pathlib.PurePosixPath): + """A reference to a path in a package""" + + def read_text(self, encoding='utf-8'): + with self.locate().open(encoding=encoding) as stream: + return stream.read() + + def read_binary(self): + with self.locate().open('rb') as stream: + return stream.read() + + def locate(self): + """Return a path-like object for this path""" + return self.dist.locate_file(self) + + +class FileHash: + def __init__(self, spec): + self.mode, _, self.value = spec.partition('=') + + def __repr__(self): + return f'' + + +class Distribution: + """A Python distribution package.""" + + @abc.abstractmethod + def read_text(self, filename): + """Attempt to load metadata file given by the name. + + :param filename: The name of the file in the distribution info. + :return: The text if found, otherwise None. + """ + + @abc.abstractmethod + def locate_file(self, path): + """ + Given a path to a file in this distribution, return a path + to it. + """ + + @classmethod + def from_name(cls, name): + """Return the Distribution for the given package name. + + :param name: The name of the distribution package to search for. + :return: The Distribution instance (or subclass thereof) for the named + package, if found. + :raises PackageNotFoundError: When the named package's distribution + metadata cannot be found. + """ + for resolver in cls._discover_resolvers(): + dists = resolver(DistributionFinder.Context(name=name)) + dist = next(iter(dists), None) + if dist is not None: + return dist + else: + raise PackageNotFoundError(name) + + @classmethod + def discover(cls, **kwargs): + """Return an iterable of Distribution objects for all packages. + + Pass a ``context`` or pass keyword arguments for constructing + a context. + + :context: A ``DistributionFinder.Context`` object. + :return: Iterable of Distribution objects for all packages. + """ + context = kwargs.pop('context', None) + if context and kwargs: + raise ValueError("cannot accept context and kwargs") + context = context or DistributionFinder.Context(**kwargs) + return itertools.chain.from_iterable( + resolver(context) for resolver in cls._discover_resolvers() + ) + + @staticmethod + def at(path): + """Return a Distribution for the indicated metadata path + + :param path: a string or path-like object + :return: a concrete Distribution instance for the path + """ + return PathDistribution(pathlib.Path(path)) + + @staticmethod + def _discover_resolvers(): + """Search the meta_path for resolvers.""" + declared = ( + getattr(finder, 'find_distributions', None) for finder in sys.meta_path + ) + return filter(None, declared) + + @classmethod + def _local(cls, root='.'): + from pep517 import build, meta + + system = build.compat_system(root) + builder = functools.partial( + meta.build, + source_dir=root, + system=system, + ) + return PathDistribution(zipp.Path(meta.build_as_zip(builder))) + + @property + def metadata(self) -> _meta.PackageMetadata: + """Return the parsed metadata for this Distribution. + + The returned object will have keys that name the various bits of + metadata. See PEP 566 for details. + """ + text = ( + self.read_text('METADATA') + or self.read_text('PKG-INFO') + # This last clause is here to support old egg-info files. Its + # effect is to just end up using the PathDistribution's self._path + # (which points to the egg-info file) attribute unchanged. + or self.read_text('') + ) + return _adapters.Message(email.message_from_string(text)) + + @property + def name(self): + """Return the 'Name' metadata for the distribution package.""" + return self.metadata['Name'] + + @property + def _normalized_name(self): + """Return a normalized version of the name.""" + return Prepared.normalize(self.name) + + @property + def version(self): + """Return the 'Version' metadata for the distribution package.""" + return self.metadata['Version'] + + @property + def entry_points(self): + return EntryPoints._from_text_for(self.read_text('entry_points.txt'), self) + + @property + def files(self): + """Files in this distribution. + + :return: List of PackagePath for this distribution or None + + Result is `None` if the metadata file that enumerates files + (i.e. RECORD for dist-info or SOURCES.txt for egg-info) is + missing. + Result may be empty if the metadata exists but is empty. + """ + + def make_file(name, hash=None, size_str=None): + result = PackagePath(name) + result.hash = FileHash(hash) if hash else None + result.size = int(size_str) if size_str else None + result.dist = self + return result + + @pass_none + def make_files(lines): + return list(starmap(make_file, csv.reader(lines))) + + return make_files(self._read_files_distinfo() or self._read_files_egginfo()) + + def _read_files_distinfo(self): + """ + Read the lines of RECORD + """ + text = self.read_text('RECORD') + return text and text.splitlines() + + def _read_files_egginfo(self): + """ + SOURCES.txt might contain literal commas, so wrap each line + in quotes. + """ + text = self.read_text('SOURCES.txt') + return text and map('"{}"'.format, text.splitlines()) + + @property + def requires(self): + """Generated requirements specified for this Distribution""" + reqs = self._read_dist_info_reqs() or self._read_egg_info_reqs() + return reqs and list(reqs) + + def _read_dist_info_reqs(self): + return self.metadata.get_all('Requires-Dist') + + def _read_egg_info_reqs(self): + source = self.read_text('requires.txt') + return source and self._deps_from_requires_text(source) + + @classmethod + def _deps_from_requires_text(cls, source): + return cls._convert_egg_info_reqs_to_simple_reqs(Sectioned.read(source)) + + @staticmethod + def _convert_egg_info_reqs_to_simple_reqs(sections): + """ + Historically, setuptools would solicit and store 'extra' + requirements, including those with environment markers, + in separate sections. More modern tools expect each + dependency to be defined separately, with any relevant + extras and environment markers attached directly to that + requirement. This method converts the former to the + latter. See _test_deps_from_requires_text for an example. + """ + + def make_condition(name): + return name and f'extra == "{name}"' + + def quoted_marker(section): + section = section or '' + extra, sep, markers = section.partition(':') + if extra and markers: + markers = f'({markers})' + conditions = list(filter(None, [markers, make_condition(extra)])) + return '; ' + ' and '.join(conditions) if conditions else '' + + def url_req_space(req): + """ + PEP 508 requires a space between the url_spec and the quoted_marker. + Ref python/importlib_metadata#357. + """ + # '@' is uniquely indicative of a url_req. + return ' ' * ('@' in req) + + for section in sections: + space = url_req_space(section.value) + yield section.value + space + quoted_marker(section.name) + + +class DistributionFinder(MetaPathFinder): + """ + A MetaPathFinder capable of discovering installed distributions. + """ + + class Context: + """ + Keyword arguments presented by the caller to + ``distributions()`` or ``Distribution.discover()`` + to narrow the scope of a search for distributions + in all DistributionFinders. + + Each DistributionFinder may expect any parameters + and should attempt to honor the canonical + parameters defined below when appropriate. + """ + + name = None + """ + Specific name for which a distribution finder should match. + A name of ``None`` matches all distributions. + """ + + def __init__(self, **kwargs): + vars(self).update(kwargs) + + @property + def path(self): + """ + The sequence of directory path that a distribution finder + should search. + + Typically refers to Python installed package paths such as + "site-packages" directories and defaults to ``sys.path``. + """ + return vars(self).get('path', sys.path) + + @abc.abstractmethod + def find_distributions(self, context=Context()): + """ + Find distributions. + + Return an iterable of all Distribution instances capable of + loading the metadata for packages matching the ``context``, + a DistributionFinder.Context instance. + """ + + +class FastPath: + """ + Micro-optimized class for searching a path for + children. + + >>> FastPath('').children() + ['...'] + """ + + @functools.lru_cache() # type: ignore + def __new__(cls, root): + return super().__new__(cls) + + def __init__(self, root): + self.root = str(root) + + def joinpath(self, child): + return pathlib.Path(self.root, child) + + def children(self): + with suppress(Exception): + return os.listdir(self.root or '.') + with suppress(Exception): + return self.zip_children() + return [] + + def zip_children(self): + zip_path = zipp.Path(self.root) + names = zip_path.root.namelist() + self.joinpath = zip_path.joinpath + + return dict.fromkeys(child.split(posixpath.sep, 1)[0] for child in names) + + def search(self, name): + return self.lookup(self.mtime).search(name) + + @property + def mtime(self): + with suppress(OSError): + return os.stat(self.root).st_mtime + self.lookup.cache_clear() + + @method_cache + def lookup(self, mtime): + return Lookup(self) + + +class Lookup: + def __init__(self, path: FastPath): + base = os.path.basename(path.root).lower() + base_is_egg = base.endswith(".egg") + self.infos = FreezableDefaultDict(list) + self.eggs = FreezableDefaultDict(list) + + for child in path.children(): + low = child.lower() + if low.endswith((".dist-info", ".egg-info")): + # rpartition is faster than splitext and suitable for this purpose. + name = low.rpartition(".")[0].partition("-")[0] + normalized = Prepared.normalize(name) + self.infos[normalized].append(path.joinpath(child)) + elif base_is_egg and low == "egg-info": + name = base.rpartition(".")[0].partition("-")[0] + legacy_normalized = Prepared.legacy_normalize(name) + self.eggs[legacy_normalized].append(path.joinpath(child)) + + self.infos.freeze() + self.eggs.freeze() + + def search(self, prepared): + infos = ( + self.infos[prepared.normalized] + if prepared + else itertools.chain.from_iterable(self.infos.values()) + ) + eggs = ( + self.eggs[prepared.legacy_normalized] + if prepared + else itertools.chain.from_iterable(self.eggs.values()) + ) + return itertools.chain(infos, eggs) + + +class Prepared: + """ + A prepared search for metadata on a possibly-named package. + """ + + normalized = None + legacy_normalized = None + + def __init__(self, name): + self.name = name + if name is None: + return + self.normalized = self.normalize(name) + self.legacy_normalized = self.legacy_normalize(name) + + @staticmethod + def normalize(name): + """ + PEP 503 normalization plus dashes as underscores. + """ + return re.sub(r"[-_.]+", "-", name).lower().replace('-', '_') + + @staticmethod + def legacy_normalize(name): + """ + Normalize the package name as found in the convention in + older packaging tools versions and specs. + """ + return name.lower().replace('-', '_') + + def __bool__(self): + return bool(self.name) + + +@install +class MetadataPathFinder(NullFinder, DistributionFinder): + """A degenerate finder for distribution packages on the file system. + + This finder supplies only a find_distributions() method for versions + of Python that do not have a PathFinder find_distributions(). + """ + + def find_distributions(self, context=DistributionFinder.Context()): + """ + Find distributions. + + Return an iterable of all Distribution instances capable of + loading the metadata for packages matching ``context.name`` + (or all names if ``None`` indicated) along the paths in the list + of directories ``context.path``. + """ + found = self._search_paths(context.name, context.path) + return map(PathDistribution, found) + + @classmethod + def _search_paths(cls, name, paths): + """Find metadata directories in paths heuristically.""" + prepared = Prepared(name) + return itertools.chain.from_iterable( + path.search(prepared) for path in map(FastPath, paths) + ) + + def invalidate_caches(cls): + FastPath.__new__.cache_clear() + + +class PathDistribution(Distribution): + def __init__(self, path: SimplePath): + """Construct a distribution. + + :param path: SimplePath indicating the metadata directory. + """ + self._path = path + + def read_text(self, filename): + with suppress( + FileNotFoundError, + IsADirectoryError, + KeyError, + NotADirectoryError, + PermissionError, + ): + return self._path.joinpath(filename).read_text(encoding='utf-8') + + read_text.__doc__ = Distribution.read_text.__doc__ + + def locate_file(self, path): + return self._path.parent / path + + @property + def _normalized_name(self): + """ + Performance optimization: where possible, resolve the + normalized name from the file system path. + """ + stem = os.path.basename(str(self._path)) + return self._name_from_stem(stem) or super()._normalized_name + + def _name_from_stem(self, stem): + name, ext = os.path.splitext(stem) + if ext not in ('.dist-info', '.egg-info'): + return + name, sep, rest = stem.partition('-') + return name + + +def distribution(distribution_name): + """Get the ``Distribution`` instance for the named package. + + :param distribution_name: The name of the distribution package as a string. + :return: A ``Distribution`` instance (or subclass thereof). + """ + return Distribution.from_name(distribution_name) + + +def distributions(**kwargs): + """Get all ``Distribution`` instances in the current environment. + + :return: An iterable of ``Distribution`` instances. + """ + return Distribution.discover(**kwargs) + + +def metadata(distribution_name) -> _meta.PackageMetadata: + """Get the metadata for the named package. + + :param distribution_name: The name of the distribution package to query. + :return: A PackageMetadata containing the parsed metadata. + """ + return Distribution.from_name(distribution_name).metadata + + +def version(distribution_name): + """Get the version string for the named package. + + :param distribution_name: The name of the distribution package to query. + :return: The version string for the package as defined in the package's + "Version" metadata key. + """ + return distribution(distribution_name).version + + +def entry_points(**params) -> Union[EntryPoints, SelectableGroups]: + """Return EntryPoint objects for all installed packages. + + Pass selection parameters (group or name) to filter the + result to entry points matching those properties (see + EntryPoints.select()). + + For compatibility, returns ``SelectableGroups`` object unless + selection parameters are supplied. In the future, this function + will return ``EntryPoints`` instead of ``SelectableGroups`` + even when no selection parameters are supplied. + + For maximum future compatibility, pass selection parameters + or invoke ``.select`` with parameters on the result. + + :return: EntryPoints or SelectableGroups for all installed packages. + """ + norm_name = operator.attrgetter('_normalized_name') + unique = functools.partial(unique_everseen, key=norm_name) + eps = itertools.chain.from_iterable( + dist.entry_points for dist in unique(distributions()) + ) + return SelectableGroups.load(eps).select(**params) + + +def files(distribution_name): + """Return a list of files for the named package. + + :param distribution_name: The name of the distribution package to query. + :return: List of files composing the distribution. + """ + return distribution(distribution_name).files + + +def requires(distribution_name): + """ + Return a list of requirements for the named package. + + :return: An iterator of requirements, suitable for + packaging.requirement.Requirement. + """ + return distribution(distribution_name).requires + + +def packages_distributions() -> Mapping[str, List[str]]: + """ + Return a mapping of top-level packages to their + distributions. + + >>> import collections.abc + >>> pkgs = packages_distributions() + >>> all(isinstance(dist, collections.abc.Sequence) for dist in pkgs.values()) + True + """ + pkg_to_dist = collections.defaultdict(list) + for dist in distributions(): + for pkg in _top_level_declared(dist) or _top_level_inferred(dist): + pkg_to_dist[pkg].append(dist.metadata['Name']) + return dict(pkg_to_dist) + + +def _top_level_declared(dist): + return (dist.read_text('top_level.txt') or '').split() + + +def _top_level_inferred(dist): + return { + f.parts[0] if len(f.parts) > 1 else f.with_suffix('').name + for f in always_iterable(dist.files) + if f.suffix == ".py" + } diff --git a/metaflow/_vendor/importlib_metadata/_adapters.py b/metaflow/_vendor/importlib_metadata/_adapters.py new file mode 100644 index 00000000000..aa460d3eda5 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_adapters.py @@ -0,0 +1,68 @@ +import re +import textwrap +import email.message + +from ._text import FoldedCase + + +class Message(email.message.Message): + multiple_use_keys = set( + map( + FoldedCase, + [ + 'Classifier', + 'Obsoletes-Dist', + 'Platform', + 'Project-URL', + 'Provides-Dist', + 'Provides-Extra', + 'Requires-Dist', + 'Requires-External', + 'Supported-Platform', + 'Dynamic', + ], + ) + ) + """ + Keys that may be indicated multiple times per PEP 566. + """ + + def __new__(cls, orig: email.message.Message): + res = super().__new__(cls) + vars(res).update(vars(orig)) + return res + + def __init__(self, *args, **kwargs): + self._headers = self._repair_headers() + + # suppress spurious error from mypy + def __iter__(self): + return super().__iter__() + + def _repair_headers(self): + def redent(value): + "Correct for RFC822 indentation" + if not value or '\n' not in value: + return value + return textwrap.dedent(' ' * 8 + value) + + headers = [(key, redent(value)) for key, value in vars(self)['_headers']] + if self._payload: + headers.append(('Description', self.get_payload())) + return headers + + @property + def json(self): + """ + Convert PackageMetadata to a JSON-compatible format + per PEP 0566. + """ + + def transform(key): + value = self.get_all(key) if key in self.multiple_use_keys else self[key] + if key == 'Keywords': + value = re.split(r'\s+', value) + tk = key.lower().replace('-', '_') + return tk, value + + return dict(map(transform, map(FoldedCase, self))) diff --git a/metaflow/_vendor/importlib_metadata/_collections.py b/metaflow/_vendor/importlib_metadata/_collections.py new file mode 100644 index 00000000000..cf0954e1a30 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_collections.py @@ -0,0 +1,30 @@ +import collections + + +# from jaraco.collections 3.3 +class FreezableDefaultDict(collections.defaultdict): + """ + Often it is desirable to prevent the mutation of + a default dict after its initial construction, such + as to prevent mutation during iteration. + + >>> dd = FreezableDefaultDict(list) + >>> dd[0].append('1') + >>> dd.freeze() + >>> dd[1] + [] + >>> len(dd) + 1 + """ + + def __missing__(self, key): + return getattr(self, '_frozen', super().__missing__)(key) + + def freeze(self): + self._frozen = lambda key: self.default_factory() + + +class Pair(collections.namedtuple('Pair', 'name value')): + @classmethod + def parse(cls, text): + return cls(*map(str.strip, text.split("=", 1))) diff --git a/metaflow/_vendor/importlib_metadata/_compat.py b/metaflow/_vendor/importlib_metadata/_compat.py new file mode 100644 index 00000000000..15927dbb753 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_compat.py @@ -0,0 +1,71 @@ +import sys +import platform + + +__all__ = ['install', 'NullFinder', 'Protocol'] + + +try: + from typing import Protocol +except ImportError: # pragma: no cover + from metaflow._vendor.typing_extensions import Protocol # type: ignore + + +def install(cls): + """ + Class decorator for installation on sys.meta_path. + + Adds the backport DistributionFinder to sys.meta_path and + attempts to disable the finder functionality of the stdlib + DistributionFinder. + """ + sys.meta_path.append(cls()) + disable_stdlib_finder() + return cls + + +def disable_stdlib_finder(): + """ + Give the backport primacy for discovering path-based distributions + by monkey-patching the stdlib O_O. + + See #91 for more background for rationale on this sketchy + behavior. + """ + + def matches(finder): + return getattr( + finder, '__module__', None + ) == '_frozen_importlib_external' and hasattr(finder, 'find_distributions') + + for finder in filter(matches, sys.meta_path): # pragma: nocover + del finder.find_distributions + + +class NullFinder: + """ + A "Finder" (aka "MetaClassFinder") that never finds any modules, + but may find distributions. + """ + + @staticmethod + def find_spec(*args, **kwargs): + return None + + # In Python 2, the import system requires finders + # to have a find_module() method, but this usage + # is deprecated in Python 3 in favor of find_spec(). + # For the purposes of this finder (i.e. being present + # on sys.meta_path but having no other import + # system functionality), the two methods are identical. + find_module = find_spec + + +def pypy_partial(val): + """ + Adjust for variable stacklevel on partial under PyPy. + + Workaround for #327. + """ + is_pypy = platform.python_implementation() == 'PyPy' + return val + is_pypy diff --git a/metaflow/_vendor/importlib_metadata/_functools.py b/metaflow/_vendor/importlib_metadata/_functools.py new file mode 100644 index 00000000000..71f66bd03cb --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_functools.py @@ -0,0 +1,104 @@ +import types +import functools + + +# from jaraco.functools 3.3 +def method_cache(method, cache_wrapper=None): + """ + Wrap lru_cache to support storing the cache data in the object instances. + + Abstracts the common paradigm where the method explicitly saves an + underscore-prefixed protected property on first call and returns that + subsequently. + + >>> class MyClass: + ... calls = 0 + ... + ... @method_cache + ... def method(self, value): + ... self.calls += 1 + ... return value + + >>> a = MyClass() + >>> a.method(3) + 3 + >>> for x in range(75): + ... res = a.method(x) + >>> a.calls + 75 + + Note that the apparent behavior will be exactly like that of lru_cache + except that the cache is stored on each instance, so values in one + instance will not flush values from another, and when an instance is + deleted, so are the cached values for that instance. + + >>> b = MyClass() + >>> for x in range(35): + ... res = b.method(x) + >>> b.calls + 35 + >>> a.method(0) + 0 + >>> a.calls + 75 + + Note that if method had been decorated with ``functools.lru_cache()``, + a.calls would have been 76 (due to the cached value of 0 having been + flushed by the 'b' instance). + + Clear the cache with ``.cache_clear()`` + + >>> a.method.cache_clear() + + Same for a method that hasn't yet been called. + + >>> c = MyClass() + >>> c.method.cache_clear() + + Another cache wrapper may be supplied: + + >>> cache = functools.lru_cache(maxsize=2) + >>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache) + >>> a = MyClass() + >>> a.method2() + 3 + + Caution - do not subsequently wrap the method with another decorator, such + as ``@property``, which changes the semantics of the function. + + See also + http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/ + for another implementation and additional justification. + """ + cache_wrapper = cache_wrapper or functools.lru_cache() + + def wrapper(self, *args, **kwargs): + # it's the first call, replace the method with a cached, bound method + bound_method = types.MethodType(method, self) + cached_method = cache_wrapper(bound_method) + setattr(self, method.__name__, cached_method) + return cached_method(*args, **kwargs) + + # Support cache clear even before cache has been created. + wrapper.cache_clear = lambda: None + + return wrapper + + +# From jaraco.functools 3.3 +def pass_none(func): + """ + Wrap func so it's not called if its first param is None + + >>> print_text = pass_none(print) + >>> print_text('text') + text + >>> print_text(None) + """ + + @functools.wraps(func) + def wrapper(param, *args, **kwargs): + if param is not None: + return func(param, *args, **kwargs) + + return wrapper diff --git a/metaflow/_vendor/importlib_metadata/_itertools.py b/metaflow/_vendor/importlib_metadata/_itertools.py new file mode 100644 index 00000000000..d4ca9b9140e --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_itertools.py @@ -0,0 +1,73 @@ +from itertools import filterfalse + + +def unique_everseen(iterable, key=None): + "List unique elements, preserving order. Remember all elements ever seen." + # unique_everseen('AAAABBBCCDAABBB') --> A B C D + # unique_everseen('ABBCcAD', str.lower) --> A B C D + seen = set() + seen_add = seen.add + if key is None: + for element in filterfalse(seen.__contains__, iterable): + seen_add(element) + yield element + else: + for element in iterable: + k = key(element) + if k not in seen: + seen_add(k) + yield element + + +# copied from more_itertools 8.8 +def always_iterable(obj, base_type=(str, bytes)): + """If *obj* is iterable, return an iterator over its items:: + + >>> obj = (1, 2, 3) + >>> list(always_iterable(obj)) + [1, 2, 3] + + If *obj* is not iterable, return a one-item iterable containing *obj*:: + + >>> obj = 1 + >>> list(always_iterable(obj)) + [1] + + If *obj* is ``None``, return an empty iterable: + + >>> obj = None + >>> list(always_iterable(None)) + [] + + By default, binary and text strings are not considered iterable:: + + >>> obj = 'foo' + >>> list(always_iterable(obj)) + ['foo'] + + If *base_type* is set, objects for which ``isinstance(obj, base_type)`` + returns ``True`` won't be considered iterable. + + >>> obj = {'a': 1} + >>> list(always_iterable(obj)) # Iterate over the dict's keys + ['a'] + >>> list(always_iterable(obj, base_type=dict)) # Treat dicts as a unit + [{'a': 1}] + + Set *base_type* to ``None`` to avoid any special handling and treat objects + Python considers iterable as iterable: + + >>> obj = 'foo' + >>> list(always_iterable(obj, base_type=None)) + ['f', 'o', 'o'] + """ + if obj is None: + return iter(()) + + if (base_type is not None) and isinstance(obj, base_type): + return iter((obj,)) + + try: + return iter(obj) + except TypeError: + return iter((obj,)) diff --git a/metaflow/_vendor/importlib_metadata/_meta.py b/metaflow/_vendor/importlib_metadata/_meta.py new file mode 100644 index 00000000000..37ee43e6ef4 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_meta.py @@ -0,0 +1,48 @@ +from ._compat import Protocol +from typing import Any, Dict, Iterator, List, TypeVar, Union + + +_T = TypeVar("_T") + + +class PackageMetadata(Protocol): + def __len__(self) -> int: + ... # pragma: no cover + + def __contains__(self, item: str) -> bool: + ... # pragma: no cover + + def __getitem__(self, key: str) -> str: + ... # pragma: no cover + + def __iter__(self) -> Iterator[str]: + ... # pragma: no cover + + def get_all(self, name: str, failobj: _T = ...) -> Union[List[Any], _T]: + """ + Return all values associated with a possibly multi-valued key. + """ + + @property + def json(self) -> Dict[str, Union[str, List[str]]]: + """ + A JSON-compatible form of the metadata. + """ + + +class SimplePath(Protocol): + """ + A minimal subset of pathlib.Path required by PathDistribution. + """ + + def joinpath(self) -> 'SimplePath': + ... # pragma: no cover + + def __truediv__(self) -> 'SimplePath': + ... # pragma: no cover + + def parent(self) -> 'SimplePath': + ... # pragma: no cover + + def read_text(self) -> str: + ... # pragma: no cover diff --git a/metaflow/_vendor/importlib_metadata/_text.py b/metaflow/_vendor/importlib_metadata/_text.py new file mode 100644 index 00000000000..c88cfbb2349 --- /dev/null +++ b/metaflow/_vendor/importlib_metadata/_text.py @@ -0,0 +1,99 @@ +import re + +from ._functools import method_cache + + +# from jaraco.text 3.5 +class FoldedCase(str): + """ + A case insensitive string class; behaves just like str + except compares equal when the only variation is case. + + >>> s = FoldedCase('hello world') + + >>> s == 'Hello World' + True + + >>> 'Hello World' == s + True + + >>> s != 'Hello World' + False + + >>> s.index('O') + 4 + + >>> s.split('O') + ['hell', ' w', 'rld'] + + >>> sorted(map(FoldedCase, ['GAMMA', 'alpha', 'Beta'])) + ['alpha', 'Beta', 'GAMMA'] + + Sequence membership is straightforward. + + >>> "Hello World" in [s] + True + >>> s in ["Hello World"] + True + + You may test for set inclusion, but candidate and elements + must both be folded. + + >>> FoldedCase("Hello World") in {s} + True + >>> s in {FoldedCase("Hello World")} + True + + String inclusion works as long as the FoldedCase object + is on the right. + + >>> "hello" in FoldedCase("Hello World") + True + + But not if the FoldedCase object is on the left: + + >>> FoldedCase('hello') in 'Hello World' + False + + In that case, use in_: + + >>> FoldedCase('hello').in_('Hello World') + True + + >>> FoldedCase('hello') > FoldedCase('Hello') + False + """ + + def __lt__(self, other): + return self.lower() < other.lower() + + def __gt__(self, other): + return self.lower() > other.lower() + + def __eq__(self, other): + return self.lower() == other.lower() + + def __ne__(self, other): + return self.lower() != other.lower() + + def __hash__(self): + return hash(self.lower()) + + def __contains__(self, other): + return super().lower().__contains__(other.lower()) + + def in_(self, other): + "Does self appear in other?" + return self in FoldedCase(other) + + # cache lower since it's likely to be called frequently. + @method_cache + def lower(self): + return super().lower() + + def index(self, sub): + return self.lower().index(sub.lower()) + + def split(self, splitter=' ', maxsplit=0): + pattern = re.compile(re.escape(splitter), re.I) + return pattern.split(self, maxsplit) diff --git a/metaflow/plugins/env_escape/configurations/__init__.py b/metaflow/_vendor/importlib_metadata/py.typed similarity index 100% rename from metaflow/plugins/env_escape/configurations/__init__.py rename to metaflow/_vendor/importlib_metadata/py.typed diff --git a/metaflow/_vendor/packaging.LICENSE b/metaflow/_vendor/packaging.LICENSE new file mode 100644 index 00000000000..42ce7b75c92 --- /dev/null +++ b/metaflow/_vendor/packaging.LICENSE @@ -0,0 +1,23 @@ +Copyright (c) Donald Stufft and individual contributors. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + + 1. Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/metaflow/_vendor/packaging/__init__.py b/metaflow/_vendor/packaging/__init__.py new file mode 100644 index 00000000000..4112fec0a5a --- /dev/null +++ b/metaflow/_vendor/packaging/__init__.py @@ -0,0 +1,15 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +__title__ = "packaging" +__summary__ = "Core utilities for Python packages" +__uri__ = "https://github.com/pypa/packaging" + +__version__ = "23.0" + +__author__ = "Donald Stufft and individual contributors" +__email__ = "donald@stufft.io" + +__license__ = "BSD-2-Clause or Apache-2.0" +__copyright__ = "2014-2019 %s" % __author__ diff --git a/metaflow/_vendor/packaging/_elffile.py b/metaflow/_vendor/packaging/_elffile.py new file mode 100644 index 00000000000..6fb19b30bb5 --- /dev/null +++ b/metaflow/_vendor/packaging/_elffile.py @@ -0,0 +1,108 @@ +""" +ELF file parser. + +This provides a class ``ELFFile`` that parses an ELF executable in a similar +interface to ``ZipFile``. Only the read interface is implemented. + +Based on: https://gist.github.com/lyssdod/f51579ae8d93c8657a5564aefc2ffbca +ELF header: https://refspecs.linuxfoundation.org/elf/gabi4+/ch4.eheader.html +""" + +import enum +import os +import struct +from typing import IO, Optional, Tuple + + +class ELFInvalid(ValueError): + pass + + +class EIClass(enum.IntEnum): + C32 = 1 + C64 = 2 + + +class EIData(enum.IntEnum): + Lsb = 1 + Msb = 2 + + +class EMachine(enum.IntEnum): + I386 = 3 + S390 = 22 + Arm = 40 + X8664 = 62 + AArc64 = 183 + + +class ELFFile: + """ + Representation of an ELF executable. + """ + + def __init__(self, f: IO[bytes]) -> None: + self._f = f + + try: + ident = self._read("16B") + except struct.error: + raise ELFInvalid("unable to parse identification") + magic = bytes(ident[:4]) + if magic != b"\x7fELF": + raise ELFInvalid(f"invalid magic: {magic!r}") + + self.capacity = ident[4] # Format for program header (bitness). + self.encoding = ident[5] # Data structure encoding (endianness). + + try: + # e_fmt: Format for program header. + # p_fmt: Format for section header. + # p_idx: Indexes to find p_type, p_offset, and p_filesz. + e_fmt, self._p_fmt, self._p_idx = { + (1, 1): ("HHIIIIIHHH", ">IIIIIIII", (0, 1, 4)), # 32-bit MSB. + (2, 1): ("HHIQQQIHHH", ">IIQQQQQQ", (0, 2, 5)), # 64-bit MSB. + }[(self.capacity, self.encoding)] + except KeyError: + raise ELFInvalid( + f"unrecognized capacity ({self.capacity}) or " + f"encoding ({self.encoding})" + ) + + try: + ( + _, + self.machine, # Architecture type. + _, + _, + self._e_phoff, # Offset of program header. + _, + self.flags, # Processor-specific flags. + _, + self._e_phentsize, # Size of section. + self._e_phnum, # Number of sections. + ) = self._read(e_fmt) + except struct.error as e: + raise ELFInvalid("unable to parse machine and section information") from e + + def _read(self, fmt: str) -> Tuple[int, ...]: + return struct.unpack(fmt, self._f.read(struct.calcsize(fmt))) + + @property + def interpreter(self) -> Optional[str]: + """ + The path recorded in the ``PT_INTERP`` section header. + """ + for index in range(self._e_phnum): + self._f.seek(self._e_phoff + self._e_phentsize * index) + try: + data = self._read(self._p_fmt) + except struct.error: + continue + if data[self._p_idx[0]] != 3: # Not PT_INTERP. + continue + self._f.seek(data[self._p_idx[1]]) + return os.fsdecode(self._f.read(data[self._p_idx[2]])).strip("\0") + return None diff --git a/metaflow/_vendor/packaging/_manylinux.py b/metaflow/_vendor/packaging/_manylinux.py new file mode 100644 index 00000000000..2f0cc7439a0 --- /dev/null +++ b/metaflow/_vendor/packaging/_manylinux.py @@ -0,0 +1,238 @@ +import collections +import contextlib +import functools +import os +import re +import sys +import warnings +from typing import Dict, Generator, Iterator, NamedTuple, Optional, Tuple + +from ._elffile import EIClass, EIData, ELFFile, EMachine + +EF_ARM_ABIMASK = 0xFF000000 +EF_ARM_ABI_VER5 = 0x05000000 +EF_ARM_ABI_FLOAT_HARD = 0x00000400 + + +@contextlib.contextmanager +def _parse_elf(path: str) -> Generator[Optional[ELFFile], None, None]: + try: + with open(path, "rb") as f: + yield ELFFile(f) + except (OSError, TypeError, ValueError): + yield None + + +def _is_linux_armhf(executable: str) -> bool: + # hard-float ABI can be detected from the ELF header of the running + # process + # https://static.docs.arm.com/ihi0044/g/aaelf32.pdf + with _parse_elf(executable) as f: + return ( + f is not None + and f.capacity == EIClass.C32 + and f.encoding == EIData.Lsb + and f.machine == EMachine.Arm + and f.flags & EF_ARM_ABIMASK == EF_ARM_ABI_VER5 + and f.flags & EF_ARM_ABI_FLOAT_HARD == EF_ARM_ABI_FLOAT_HARD + ) + + +def _is_linux_i686(executable: str) -> bool: + with _parse_elf(executable) as f: + return ( + f is not None + and f.capacity == EIClass.C32 + and f.encoding == EIData.Lsb + and f.machine == EMachine.I386 + ) + + +def _have_compatible_abi(executable: str, arch: str) -> bool: + if arch == "armv7l": + return _is_linux_armhf(executable) + if arch == "i686": + return _is_linux_i686(executable) + return arch in {"x86_64", "aarch64", "ppc64", "ppc64le", "s390x"} + + +# If glibc ever changes its major version, we need to know what the last +# minor version was, so we can build the complete list of all versions. +# For now, guess what the highest minor version might be, assume it will +# be 50 for testing. Once this actually happens, update the dictionary +# with the actual value. +_LAST_GLIBC_MINOR: Dict[int, int] = collections.defaultdict(lambda: 50) + + +class _GLibCVersion(NamedTuple): + major: int + minor: int + + +def _glibc_version_string_confstr() -> Optional[str]: + """ + Primary implementation of glibc_version_string using os.confstr. + """ + # os.confstr is quite a bit faster than ctypes.DLL. It's also less likely + # to be broken or missing. This strategy is used in the standard library + # platform module. + # https://github.com/python/cpython/blob/fcf1d003bf4f0100c/Lib/platform.py#L175-L183 + try: + # Should be a string like "glibc 2.17". + version_string: str = getattr(os, "confstr")("CS_GNU_LIBC_VERSION") + assert version_string is not None + _, version = version_string.rsplit() + except (AssertionError, AttributeError, OSError, ValueError): + # os.confstr() or CS_GNU_LIBC_VERSION not available (or a bad value)... + return None + return version + + +def _glibc_version_string_ctypes() -> Optional[str]: + """ + Fallback implementation of glibc_version_string using ctypes. + """ + try: + import ctypes + except ImportError: + return None + + # ctypes.CDLL(None) internally calls dlopen(NULL), and as the dlopen + # manpage says, "If filename is NULL, then the returned handle is for the + # main program". This way we can let the linker do the work to figure out + # which libc our process is actually using. + # + # We must also handle the special case where the executable is not a + # dynamically linked executable. This can occur when using musl libc, + # for example. In this situation, dlopen() will error, leading to an + # OSError. Interestingly, at least in the case of musl, there is no + # errno set on the OSError. The single string argument used to construct + # OSError comes from libc itself and is therefore not portable to + # hard code here. In any case, failure to call dlopen() means we + # can proceed, so we bail on our attempt. + try: + process_namespace = ctypes.CDLL(None) + except OSError: + return None + + try: + gnu_get_libc_version = process_namespace.gnu_get_libc_version + except AttributeError: + # Symbol doesn't exist -> therefore, we are not linked to + # glibc. + return None + + # Call gnu_get_libc_version, which returns a string like "2.5" + gnu_get_libc_version.restype = ctypes.c_char_p + version_str: str = gnu_get_libc_version() + # py2 / py3 compatibility: + if not isinstance(version_str, str): + version_str = version_str.decode("ascii") + + return version_str + + +def _glibc_version_string() -> Optional[str]: + """Returns glibc version string, or None if not using glibc.""" + return _glibc_version_string_confstr() or _glibc_version_string_ctypes() + + +def _parse_glibc_version(version_str: str) -> Tuple[int, int]: + """Parse glibc version. + + We use a regexp instead of str.split because we want to discard any + random junk that might come after the minor version -- this might happen + in patched/forked versions of glibc (e.g. Linaro's version of glibc + uses version strings like "2.20-2014.11"). See gh-3588. + """ + m = re.match(r"(?P[0-9]+)\.(?P[0-9]+)", version_str) + if not m: + warnings.warn( + f"Expected glibc version with 2 components major.minor," + f" got: {version_str}", + RuntimeWarning, + ) + return -1, -1 + return int(m.group("major")), int(m.group("minor")) + + +@functools.lru_cache() +def _get_glibc_version() -> Tuple[int, int]: + version_str = _glibc_version_string() + if version_str is None: + return (-1, -1) + return _parse_glibc_version(version_str) + + +# From PEP 513, PEP 600 +def _is_compatible(name: str, arch: str, version: _GLibCVersion) -> bool: + sys_glibc = _get_glibc_version() + if sys_glibc < version: + return False + # Check for presence of _manylinux module. + try: + import _manylinux # noqa + except ImportError: + return True + if hasattr(_manylinux, "manylinux_compatible"): + result = _manylinux.manylinux_compatible(version[0], version[1], arch) + if result is not None: + return bool(result) + return True + if version == _GLibCVersion(2, 5): + if hasattr(_manylinux, "manylinux1_compatible"): + return bool(_manylinux.manylinux1_compatible) + if version == _GLibCVersion(2, 12): + if hasattr(_manylinux, "manylinux2010_compatible"): + return bool(_manylinux.manylinux2010_compatible) + if version == _GLibCVersion(2, 17): + if hasattr(_manylinux, "manylinux2014_compatible"): + return bool(_manylinux.manylinux2014_compatible) + return True + + +_LEGACY_MANYLINUX_MAP = { + # CentOS 7 w/ glibc 2.17 (PEP 599) + (2, 17): "manylinux2014", + # CentOS 6 w/ glibc 2.12 (PEP 571) + (2, 12): "manylinux2010", + # CentOS 5 w/ glibc 2.5 (PEP 513) + (2, 5): "manylinux1", +} + + +def platform_tags(linux: str, arch: str) -> Iterator[str]: + if not _have_compatible_abi(sys.executable, arch): + return + # Oldest glibc to be supported regardless of architecture is (2, 17). + too_old_glibc2 = _GLibCVersion(2, 16) + if arch in {"x86_64", "i686"}: + # On x86/i686 also oldest glibc to be supported is (2, 5). + too_old_glibc2 = _GLibCVersion(2, 4) + current_glibc = _GLibCVersion(*_get_glibc_version()) + glibc_max_list = [current_glibc] + # We can assume compatibility across glibc major versions. + # https://sourceware.org/bugzilla/show_bug.cgi?id=24636 + # + # Build a list of maximum glibc versions so that we can + # output the canonical list of all glibc from current_glibc + # down to too_old_glibc2, including all intermediary versions. + for glibc_major in range(current_glibc.major - 1, 1, -1): + glibc_minor = _LAST_GLIBC_MINOR[glibc_major] + glibc_max_list.append(_GLibCVersion(glibc_major, glibc_minor)) + for glibc_max in glibc_max_list: + if glibc_max.major == too_old_glibc2.major: + min_minor = too_old_glibc2.minor + else: + # For other glibc major versions oldest supported is (x, 0). + min_minor = -1 + for glibc_minor in range(glibc_max.minor, min_minor, -1): + glibc_version = _GLibCVersion(glibc_max.major, glibc_minor) + tag = "manylinux_{}_{}".format(*glibc_version) + if _is_compatible(tag, arch, glibc_version): + yield linux.replace("linux", tag) + # Handle the legacy manylinux1, manylinux2010, manylinux2014 tags. + if glibc_version in _LEGACY_MANYLINUX_MAP: + legacy_tag = _LEGACY_MANYLINUX_MAP[glibc_version] + if _is_compatible(legacy_tag, arch, glibc_version): + yield linux.replace("linux", legacy_tag) diff --git a/metaflow/_vendor/packaging/_musllinux.py b/metaflow/_vendor/packaging/_musllinux.py new file mode 100644 index 00000000000..706ba600a93 --- /dev/null +++ b/metaflow/_vendor/packaging/_musllinux.py @@ -0,0 +1,80 @@ +"""PEP 656 support. + +This module implements logic to detect if the currently running Python is +linked against musl, and what musl version is used. +""" + +import functools +import re +import subprocess +import sys +from typing import Iterator, NamedTuple, Optional + +from ._elffile import ELFFile + + +class _MuslVersion(NamedTuple): + major: int + minor: int + + +def _parse_musl_version(output: str) -> Optional[_MuslVersion]: + lines = [n for n in (n.strip() for n in output.splitlines()) if n] + if len(lines) < 2 or lines[0][:4] != "musl": + return None + m = re.match(r"Version (\d+)\.(\d+)", lines[1]) + if not m: + return None + return _MuslVersion(major=int(m.group(1)), minor=int(m.group(2))) + + +@functools.lru_cache() +def _get_musl_version(executable: str) -> Optional[_MuslVersion]: + """Detect currently-running musl runtime version. + + This is done by checking the specified executable's dynamic linking + information, and invoking the loader to parse its output for a version + string. If the loader is musl, the output would be something like:: + + musl libc (x86_64) + Version 1.2.2 + Dynamic Program Loader + """ + try: + with open(executable, "rb") as f: + ld = ELFFile(f).interpreter + except (OSError, TypeError, ValueError): + return None + if ld is None or "musl" not in ld: + return None + proc = subprocess.run([ld], stderr=subprocess.PIPE, universal_newlines=True) + return _parse_musl_version(proc.stderr) + + +def platform_tags(arch: str) -> Iterator[str]: + """Generate musllinux tags compatible to the current platform. + + :param arch: Should be the part of platform tag after the ``linux_`` + prefix, e.g. ``x86_64``. The ``linux_`` prefix is assumed as a + prerequisite for the current platform to be musllinux-compatible. + + :returns: An iterator of compatible musllinux tags. + """ + sys_musl = _get_musl_version(sys.executable) + if sys_musl is None: # Python not dynamically linked against musl. + return + for minor in range(sys_musl.minor, -1, -1): + yield f"musllinux_{sys_musl.major}_{minor}_{arch}" + + +if __name__ == "__main__": # pragma: no cover + import sysconfig + + plat = sysconfig.get_platform() + assert plat.startswith("linux-"), "not linux" + + print("plat:", plat) + print("musl:", _get_musl_version(sys.executable)) + print("tags:", end=" ") + for t in platform_tags(re.sub(r"[.-]", "_", plat.split("-", 1)[-1])): + print(t, end="\n ") diff --git a/metaflow/_vendor/packaging/_parser.py b/metaflow/_vendor/packaging/_parser.py new file mode 100644 index 00000000000..2bc6a8f98b2 --- /dev/null +++ b/metaflow/_vendor/packaging/_parser.py @@ -0,0 +1,328 @@ +"""Handwritten parser of dependency specifiers. + +The docstring for each __parse_* function contains ENBF-inspired grammar representing +the implementation. +""" + +import ast +from typing import Any, List, NamedTuple, Optional, Tuple, Union + +from ._tokenizer import DEFAULT_RULES, Tokenizer + + +class Node: + def __init__(self, value: str) -> None: + self.value = value + + def __str__(self) -> str: + return self.value + + def __repr__(self) -> str: + return f"<{self.__class__.__name__}('{self}')>" + + def serialize(self) -> str: + raise NotImplementedError + + +class Variable(Node): + def serialize(self) -> str: + return str(self) + + +class Value(Node): + def serialize(self) -> str: + return f'"{self}"' + + +class Op(Node): + def serialize(self) -> str: + return str(self) + + +MarkerVar = Union[Variable, Value] +MarkerItem = Tuple[MarkerVar, Op, MarkerVar] +# MarkerAtom = Union[MarkerItem, List["MarkerAtom"]] +# MarkerList = List[Union["MarkerList", MarkerAtom, str]] +# mypy does not support recursive type definition +# https://github.com/python/mypy/issues/731 +MarkerAtom = Any +MarkerList = List[Any] + + +class ParsedRequirement(NamedTuple): + name: str + url: str + extras: List[str] + specifier: str + marker: Optional[MarkerList] + + +# -------------------------------------------------------------------------------------- +# Recursive descent parser for dependency specifier +# -------------------------------------------------------------------------------------- +def parse_requirement(source: str) -> ParsedRequirement: + return _parse_requirement(Tokenizer(source, rules=DEFAULT_RULES)) + + +def _parse_requirement(tokenizer: Tokenizer) -> ParsedRequirement: + """ + requirement = WS? IDENTIFIER WS? extras WS? requirement_details + """ + tokenizer.consume("WS") + + name_token = tokenizer.expect( + "IDENTIFIER", expected="package name at the start of dependency specifier" + ) + name = name_token.text + tokenizer.consume("WS") + + extras = _parse_extras(tokenizer) + tokenizer.consume("WS") + + url, specifier, marker = _parse_requirement_details(tokenizer) + tokenizer.expect("END", expected="end of dependency specifier") + + return ParsedRequirement(name, url, extras, specifier, marker) + + +def _parse_requirement_details( + tokenizer: Tokenizer, +) -> Tuple[str, str, Optional[MarkerList]]: + """ + requirement_details = AT URL (WS requirement_marker?)? + | specifier WS? (requirement_marker)? + """ + + specifier = "" + url = "" + marker = None + + if tokenizer.check("AT"): + tokenizer.read() + tokenizer.consume("WS") + + url_start = tokenizer.position + url = tokenizer.expect("URL", expected="URL after @").text + if tokenizer.check("END", peek=True): + return (url, specifier, marker) + + tokenizer.expect("WS", expected="whitespace after URL") + + # The input might end after whitespace. + if tokenizer.check("END", peek=True): + return (url, specifier, marker) + + marker = _parse_requirement_marker( + tokenizer, span_start=url_start, after="URL and whitespace" + ) + else: + specifier_start = tokenizer.position + specifier = _parse_specifier(tokenizer) + tokenizer.consume("WS") + + if tokenizer.check("END", peek=True): + return (url, specifier, marker) + + marker = _parse_requirement_marker( + tokenizer, + span_start=specifier_start, + after=( + "version specifier" + if specifier + else "name and no valid version specifier" + ), + ) + + return (url, specifier, marker) + + +def _parse_requirement_marker( + tokenizer: Tokenizer, *, span_start: int, after: str +) -> MarkerList: + """ + requirement_marker = SEMICOLON marker WS? + """ + + if not tokenizer.check("SEMICOLON"): + tokenizer.raise_syntax_error( + f"Expected end or semicolon (after {after})", + span_start=span_start, + ) + tokenizer.read() + + marker = _parse_marker(tokenizer) + tokenizer.consume("WS") + + return marker + + +def _parse_extras(tokenizer: Tokenizer) -> List[str]: + """ + extras = (LEFT_BRACKET wsp* extras_list? wsp* RIGHT_BRACKET)? + """ + if not tokenizer.check("LEFT_BRACKET", peek=True): + return [] + + with tokenizer.enclosing_tokens("LEFT_BRACKET", "RIGHT_BRACKET"): + tokenizer.consume("WS") + extras = _parse_extras_list(tokenizer) + tokenizer.consume("WS") + + return extras + + +def _parse_extras_list(tokenizer: Tokenizer) -> List[str]: + """ + extras_list = identifier (wsp* ',' wsp* identifier)* + """ + extras: List[str] = [] + + if not tokenizer.check("IDENTIFIER"): + return extras + + extras.append(tokenizer.read().text) + + while True: + tokenizer.consume("WS") + if tokenizer.check("IDENTIFIER", peek=True): + tokenizer.raise_syntax_error("Expected comma between extra names") + elif not tokenizer.check("COMMA"): + break + + tokenizer.read() + tokenizer.consume("WS") + + extra_token = tokenizer.expect("IDENTIFIER", expected="extra name after comma") + extras.append(extra_token.text) + + return extras + + +def _parse_specifier(tokenizer: Tokenizer) -> str: + """ + specifier = LEFT_PARENTHESIS WS? version_many WS? RIGHT_PARENTHESIS + | WS? version_many WS? + """ + with tokenizer.enclosing_tokens("LEFT_PARENTHESIS", "RIGHT_PARENTHESIS"): + tokenizer.consume("WS") + parsed_specifiers = _parse_version_many(tokenizer) + tokenizer.consume("WS") + + return parsed_specifiers + + +def _parse_version_many(tokenizer: Tokenizer) -> str: + """ + version_many = (SPECIFIER (WS? COMMA WS? SPECIFIER)*)? + """ + parsed_specifiers = "" + while tokenizer.check("SPECIFIER"): + parsed_specifiers += tokenizer.read().text + tokenizer.consume("WS") + if not tokenizer.check("COMMA"): + break + parsed_specifiers += tokenizer.read().text + tokenizer.consume("WS") + + return parsed_specifiers + + +# -------------------------------------------------------------------------------------- +# Recursive descent parser for marker expression +# -------------------------------------------------------------------------------------- +def parse_marker(source: str) -> MarkerList: + return _parse_marker(Tokenizer(source, rules=DEFAULT_RULES)) + + +def _parse_marker(tokenizer: Tokenizer) -> MarkerList: + """ + marker = marker_atom (BOOLOP marker_atom)+ + """ + expression = [_parse_marker_atom(tokenizer)] + while tokenizer.check("BOOLOP"): + token = tokenizer.read() + expr_right = _parse_marker_atom(tokenizer) + expression.extend((token.text, expr_right)) + return expression + + +def _parse_marker_atom(tokenizer: Tokenizer) -> MarkerAtom: + """ + marker_atom = WS? LEFT_PARENTHESIS WS? marker WS? RIGHT_PARENTHESIS WS? + | WS? marker_item WS? + """ + + tokenizer.consume("WS") + if tokenizer.check("LEFT_PARENTHESIS", peek=True): + with tokenizer.enclosing_tokens("LEFT_PARENTHESIS", "RIGHT_PARENTHESIS"): + tokenizer.consume("WS") + marker: MarkerAtom = _parse_marker(tokenizer) + tokenizer.consume("WS") + else: + marker = _parse_marker_item(tokenizer) + tokenizer.consume("WS") + return marker + + +def _parse_marker_item(tokenizer: Tokenizer) -> MarkerItem: + """ + marker_item = WS? marker_var WS? marker_op WS? marker_var WS? + """ + tokenizer.consume("WS") + marker_var_left = _parse_marker_var(tokenizer) + tokenizer.consume("WS") + marker_op = _parse_marker_op(tokenizer) + tokenizer.consume("WS") + marker_var_right = _parse_marker_var(tokenizer) + tokenizer.consume("WS") + return (marker_var_left, marker_op, marker_var_right) + + +def _parse_marker_var(tokenizer: Tokenizer) -> MarkerVar: + """ + marker_var = VARIABLE | QUOTED_STRING + """ + if tokenizer.check("VARIABLE"): + return process_env_var(tokenizer.read().text.replace(".", "_")) + elif tokenizer.check("QUOTED_STRING"): + return process_python_str(tokenizer.read().text) + else: + tokenizer.raise_syntax_error( + message="Expected a marker variable or quoted string" + ) + + +def process_env_var(env_var: str) -> Variable: + if ( + env_var == "platform_python_implementation" + or env_var == "python_implementation" + ): + return Variable("platform_python_implementation") + else: + return Variable(env_var) + + +def process_python_str(python_str: str) -> Value: + value = ast.literal_eval(python_str) + return Value(str(value)) + + +def _parse_marker_op(tokenizer: Tokenizer) -> Op: + """ + marker_op = IN | NOT IN | OP + """ + if tokenizer.check("IN"): + tokenizer.read() + return Op("in") + elif tokenizer.check("NOT"): + tokenizer.read() + tokenizer.expect("WS", expected="whitespace after 'not'") + tokenizer.expect("IN", expected="'in' after 'not'") + return Op("not in") + elif tokenizer.check("OP"): + return Op(tokenizer.read().text) + else: + return tokenizer.raise_syntax_error( + "Expected marker operator, one of " + "<=, <, !=, ==, >=, >, ~=, ===, in, not in" + ) diff --git a/metaflow/_vendor/packaging/_structures.py b/metaflow/_vendor/packaging/_structures.py new file mode 100644 index 00000000000..90a6465f968 --- /dev/null +++ b/metaflow/_vendor/packaging/_structures.py @@ -0,0 +1,61 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + + +class InfinityType: + def __repr__(self) -> str: + return "Infinity" + + def __hash__(self) -> int: + return hash(repr(self)) + + def __lt__(self, other: object) -> bool: + return False + + def __le__(self, other: object) -> bool: + return False + + def __eq__(self, other: object) -> bool: + return isinstance(other, self.__class__) + + def __gt__(self, other: object) -> bool: + return True + + def __ge__(self, other: object) -> bool: + return True + + def __neg__(self: object) -> "NegativeInfinityType": + return NegativeInfinity + + +Infinity = InfinityType() + + +class NegativeInfinityType: + def __repr__(self) -> str: + return "-Infinity" + + def __hash__(self) -> int: + return hash(repr(self)) + + def __lt__(self, other: object) -> bool: + return True + + def __le__(self, other: object) -> bool: + return True + + def __eq__(self, other: object) -> bool: + return isinstance(other, self.__class__) + + def __gt__(self, other: object) -> bool: + return False + + def __ge__(self, other: object) -> bool: + return False + + def __neg__(self: object) -> InfinityType: + return Infinity + + +NegativeInfinity = NegativeInfinityType() diff --git a/metaflow/_vendor/packaging/_tokenizer.py b/metaflow/_vendor/packaging/_tokenizer.py new file mode 100644 index 00000000000..b1fb207c7f1 --- /dev/null +++ b/metaflow/_vendor/packaging/_tokenizer.py @@ -0,0 +1,188 @@ +import contextlib +import re +from dataclasses import dataclass +from typing import Dict, Iterator, NoReturn, Optional, Tuple, Union + +from .specifiers import Specifier + + +@dataclass +class Token: + name: str + text: str + position: int + + +class ParserSyntaxError(Exception): + """The provided source text could not be parsed correctly.""" + + def __init__( + self, + message: str, + *, + source: str, + span: Tuple[int, int], + ) -> None: + self.span = span + self.message = message + self.source = source + + super().__init__() + + def __str__(self) -> str: + marker = " " * self.span[0] + "~" * (self.span[1] - self.span[0]) + "^" + return "\n ".join([self.message, self.source, marker]) + + +DEFAULT_RULES: "Dict[str, Union[str, re.Pattern[str]]]" = { + "LEFT_PARENTHESIS": r"\(", + "RIGHT_PARENTHESIS": r"\)", + "LEFT_BRACKET": r"\[", + "RIGHT_BRACKET": r"\]", + "SEMICOLON": r";", + "COMMA": r",", + "QUOTED_STRING": re.compile( + r""" + ( + ('[^']*') + | + ("[^"]*") + ) + """, + re.VERBOSE, + ), + "OP": r"(===|==|~=|!=|<=|>=|<|>)", + "BOOLOP": r"\b(or|and)\b", + "IN": r"\bin\b", + "NOT": r"\bnot\b", + "VARIABLE": re.compile( + r""" + \b( + python_version + |python_full_version + |os[._]name + |sys[._]platform + |platform_(release|system) + |platform[._](version|machine|python_implementation) + |python_implementation + |implementation_(name|version) + |extra + )\b + """, + re.VERBOSE, + ), + "SPECIFIER": re.compile( + Specifier._operator_regex_str + Specifier._version_regex_str, + re.VERBOSE | re.IGNORECASE, + ), + "AT": r"\@", + "URL": r"[^ \t]+", + "IDENTIFIER": r"\b[a-zA-Z0-9][a-zA-Z0-9._-]*\b", + "WS": r"[ \t]+", + "END": r"$", +} + + +class Tokenizer: + """Context-sensitive token parsing. + + Provides methods to examine the input stream to check whether the next token + matches. + """ + + def __init__( + self, + source: str, + *, + rules: "Dict[str, Union[str, re.Pattern[str]]]", + ) -> None: + self.source = source + self.rules: Dict[str, re.Pattern[str]] = { + name: re.compile(pattern) for name, pattern in rules.items() + } + self.next_token: Optional[Token] = None + self.position = 0 + + def consume(self, name: str) -> None: + """Move beyond provided token name, if at current position.""" + if self.check(name): + self.read() + + def check(self, name: str, *, peek: bool = False) -> bool: + """Check whether the next token has the provided name. + + By default, if the check succeeds, the token *must* be read before + another check. If `peek` is set to `True`, the token is not loaded and + would need to be checked again. + """ + assert ( + self.next_token is None + ), f"Cannot check for {name!r}, already have {self.next_token!r}" + assert name in self.rules, f"Unknown token name: {name!r}" + + expression = self.rules[name] + + match = expression.match(self.source, self.position) + if match is None: + return False + if not peek: + self.next_token = Token(name, match[0], self.position) + return True + + def expect(self, name: str, *, expected: str) -> Token: + """Expect a certain token name next, failing with a syntax error otherwise. + + The token is *not* read. + """ + if not self.check(name): + raise self.raise_syntax_error(f"Expected {expected}") + return self.read() + + def read(self) -> Token: + """Consume the next token and return it.""" + token = self.next_token + assert token is not None + + self.position += len(token.text) + self.next_token = None + + return token + + def raise_syntax_error( + self, + message: str, + *, + span_start: Optional[int] = None, + span_end: Optional[int] = None, + ) -> NoReturn: + """Raise ParserSyntaxError at the given position.""" + span = ( + self.position if span_start is None else span_start, + self.position if span_end is None else span_end, + ) + raise ParserSyntaxError( + message, + source=self.source, + span=span, + ) + + @contextlib.contextmanager + def enclosing_tokens(self, open_token: str, close_token: str) -> Iterator[bool]: + if self.check(open_token): + open_position = self.position + self.read() + else: + open_position = None + + yield open_position is not None + + if open_position is None: + return + + if not self.check(close_token): + self.raise_syntax_error( + f"Expected closing {close_token}", + span_start=open_position, + ) + + self.read() diff --git a/metaflow/_vendor/packaging/markers.py b/metaflow/_vendor/packaging/markers.py new file mode 100644 index 00000000000..68369c981b1 --- /dev/null +++ b/metaflow/_vendor/packaging/markers.py @@ -0,0 +1,245 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import operator +import os +import platform +import sys +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +from ._parser import MarkerAtom, MarkerList, Op, Value, Variable, parse_marker +from ._tokenizer import ParserSyntaxError +from .specifiers import InvalidSpecifier, Specifier +from .utils import canonicalize_name + +__all__ = [ + "InvalidMarker", + "UndefinedComparison", + "UndefinedEnvironmentName", + "Marker", + "default_environment", +] + +Operator = Callable[[str, str], bool] + + +class InvalidMarker(ValueError): + """ + An invalid marker was found, users should refer to PEP 508. + """ + + +class UndefinedComparison(ValueError): + """ + An invalid operation was attempted on a value that doesn't support it. + """ + + +class UndefinedEnvironmentName(ValueError): + """ + A name was attempted to be used that does not exist inside of the + environment. + """ + + +def _normalize_extra_values(results: Any) -> Any: + """ + Normalize extra values. + """ + if isinstance(results[0], tuple): + lhs, op, rhs = results[0] + if isinstance(lhs, Variable) and lhs.value == "extra": + normalized_extra = canonicalize_name(rhs.value) + rhs = Value(normalized_extra) + elif isinstance(rhs, Variable) and rhs.value == "extra": + normalized_extra = canonicalize_name(lhs.value) + lhs = Value(normalized_extra) + results[0] = lhs, op, rhs + return results + + +def _format_marker( + marker: Union[List[str], MarkerAtom, str], first: Optional[bool] = True +) -> str: + + assert isinstance(marker, (list, tuple, str)) + + # Sometimes we have a structure like [[...]] which is a single item list + # where the single item is itself it's own list. In that case we want skip + # the rest of this function so that we don't get extraneous () on the + # outside. + if ( + isinstance(marker, list) + and len(marker) == 1 + and isinstance(marker[0], (list, tuple)) + ): + return _format_marker(marker[0]) + + if isinstance(marker, list): + inner = (_format_marker(m, first=False) for m in marker) + if first: + return " ".join(inner) + else: + return "(" + " ".join(inner) + ")" + elif isinstance(marker, tuple): + return " ".join([m.serialize() for m in marker]) + else: + return marker + + +_operators: Dict[str, Operator] = { + "in": lambda lhs, rhs: lhs in rhs, + "not in": lambda lhs, rhs: lhs not in rhs, + "<": operator.lt, + "<=": operator.le, + "==": operator.eq, + "!=": operator.ne, + ">=": operator.ge, + ">": operator.gt, +} + + +def _eval_op(lhs: str, op: Op, rhs: str) -> bool: + try: + spec = Specifier("".join([op.serialize(), rhs])) + except InvalidSpecifier: + pass + else: + return spec.contains(lhs, prereleases=True) + + oper: Optional[Operator] = _operators.get(op.serialize()) + if oper is None: + raise UndefinedComparison(f"Undefined {op!r} on {lhs!r} and {rhs!r}.") + + return oper(lhs, rhs) + + +def _normalize(*values: str, key: str) -> Tuple[str, ...]: + # PEP 685 – Comparison of extra names for optional distribution dependencies + # https://peps.python.org/pep-0685/ + # > When comparing extra names, tools MUST normalize the names being + # > compared using the semantics outlined in PEP 503 for names + if key == "extra": + return tuple(canonicalize_name(v) for v in values) + + # other environment markers don't have such standards + return values + + +def _evaluate_markers(markers: MarkerList, environment: Dict[str, str]) -> bool: + groups: List[List[bool]] = [[]] + + for marker in markers: + assert isinstance(marker, (list, tuple, str)) + + if isinstance(marker, list): + groups[-1].append(_evaluate_markers(marker, environment)) + elif isinstance(marker, tuple): + lhs, op, rhs = marker + + if isinstance(lhs, Variable): + environment_key = lhs.value + lhs_value = environment[environment_key] + rhs_value = rhs.value + else: + lhs_value = lhs.value + environment_key = rhs.value + rhs_value = environment[environment_key] + + lhs_value, rhs_value = _normalize(lhs_value, rhs_value, key=environment_key) + groups[-1].append(_eval_op(lhs_value, op, rhs_value)) + else: + assert marker in ["and", "or"] + if marker == "or": + groups.append([]) + + return any(all(item) for item in groups) + + +def format_full_version(info: "sys._version_info") -> str: + version = "{0.major}.{0.minor}.{0.micro}".format(info) + kind = info.releaselevel + if kind != "final": + version += kind[0] + str(info.serial) + return version + + +def default_environment() -> Dict[str, str]: + iver = format_full_version(sys.implementation.version) + implementation_name = sys.implementation.name + return { + "implementation_name": implementation_name, + "implementation_version": iver, + "os_name": os.name, + "platform_machine": platform.machine(), + "platform_release": platform.release(), + "platform_system": platform.system(), + "platform_version": platform.version(), + "python_full_version": platform.python_version(), + "platform_python_implementation": platform.python_implementation(), + "python_version": ".".join(platform.python_version_tuple()[:2]), + "sys_platform": sys.platform, + } + + +class Marker: + def __init__(self, marker: str) -> None: + # Note: We create a Marker object without calling this constructor in + # packaging.requirements.Requirement. If any additional logic is + # added here, make sure to mirror/adapt Requirement. + try: + self._markers = _normalize_extra_values(parse_marker(marker)) + # The attribute `_markers` can be described in terms of a recursive type: + # MarkerList = List[Union[Tuple[Node, ...], str, MarkerList]] + # + # For example, the following expression: + # python_version > "3.6" or (python_version == "3.6" and os_name == "unix") + # + # is parsed into: + # [ + # (, ')>, ), + # 'and', + # [ + # (, , ), + # 'or', + # (, , ) + # ] + # ] + except ParserSyntaxError as e: + raise InvalidMarker(str(e)) from e + + def __str__(self) -> str: + return _format_marker(self._markers) + + def __repr__(self) -> str: + return f"" + + def __hash__(self) -> int: + return hash((self.__class__.__name__, str(self))) + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, Marker): + return NotImplemented + + return str(self) == str(other) + + def evaluate(self, environment: Optional[Dict[str, str]] = None) -> bool: + """Evaluate a marker. + + Return the boolean from evaluating the given marker against the + environment. environment is an optional argument to override all or + part of the determined environment. + + The environment is determined from the current Python process. + """ + current_environment = default_environment() + current_environment["extra"] = "" + if environment is not None: + current_environment.update(environment) + # The API used to allow setting extra to None. We need to handle this + # case for backwards compatibility. + if current_environment["extra"] is None: + current_environment["extra"] = "" + + return _evaluate_markers(self._markers, current_environment) diff --git a/metaflow/_vendor/packaging/py.typed b/metaflow/_vendor/packaging/py.typed new file mode 100644 index 00000000000..e69de29bb2d diff --git a/metaflow/_vendor/packaging/requirements.py b/metaflow/_vendor/packaging/requirements.py new file mode 100644 index 00000000000..a9f9b9c7c95 --- /dev/null +++ b/metaflow/_vendor/packaging/requirements.py @@ -0,0 +1,95 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import urllib.parse +from typing import Any, List, Optional, Set + +from ._parser import parse_requirement +from ._tokenizer import ParserSyntaxError +from .markers import Marker, _normalize_extra_values +from .specifiers import SpecifierSet + + +class InvalidRequirement(ValueError): + """ + An invalid requirement was found, users should refer to PEP 508. + """ + + +class Requirement: + """Parse a requirement. + + Parse a given requirement string into its parts, such as name, specifier, + URL, and extras. Raises InvalidRequirement on a badly-formed requirement + string. + """ + + # TODO: Can we test whether something is contained within a requirement? + # If so how do we do that? Do we need to test against the _name_ of + # the thing as well as the version? What about the markers? + # TODO: Can we normalize the name and extra name? + + def __init__(self, requirement_string: str) -> None: + try: + parsed = parse_requirement(requirement_string) + except ParserSyntaxError as e: + raise InvalidRequirement(str(e)) from e + + self.name: str = parsed.name + if parsed.url: + parsed_url = urllib.parse.urlparse(parsed.url) + if parsed_url.scheme == "file": + if urllib.parse.urlunparse(parsed_url) != parsed.url: + raise InvalidRequirement("Invalid URL given") + elif not (parsed_url.scheme and parsed_url.netloc) or ( + not parsed_url.scheme and not parsed_url.netloc + ): + raise InvalidRequirement(f"Invalid URL: {parsed.url}") + self.url: Optional[str] = parsed.url + else: + self.url = None + self.extras: Set[str] = set(parsed.extras if parsed.extras else []) + self.specifier: SpecifierSet = SpecifierSet(parsed.specifier) + self.marker: Optional[Marker] = None + if parsed.marker is not None: + self.marker = Marker.__new__(Marker) + self.marker._markers = _normalize_extra_values(parsed.marker) + + def __str__(self) -> str: + parts: List[str] = [self.name] + + if self.extras: + formatted_extras = ",".join(sorted(self.extras)) + parts.append(f"[{formatted_extras}]") + + if self.specifier: + parts.append(str(self.specifier)) + + if self.url: + parts.append(f"@ {self.url}") + if self.marker: + parts.append(" ") + + if self.marker: + parts.append(f"; {self.marker}") + + return "".join(parts) + + def __repr__(self) -> str: + return f"" + + def __hash__(self) -> int: + return hash((self.__class__.__name__, str(self))) + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, Requirement): + return NotImplemented + + return ( + self.name == other.name + and self.extras == other.extras + and self.specifier == other.specifier + and self.url == other.url + and self.marker == other.marker + ) diff --git a/metaflow/_vendor/packaging/specifiers.py b/metaflow/_vendor/packaging/specifiers.py new file mode 100644 index 00000000000..207e9b41efd --- /dev/null +++ b/metaflow/_vendor/packaging/specifiers.py @@ -0,0 +1,1005 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +""" +.. testsetup:: + + from metaflow._vendor.packaging.specifiers import Specifier, SpecifierSet, InvalidSpecifier + from metaflow._vendor.packaging.version import Version +""" + +import abc +import itertools +import re +from typing import ( + Callable, + Iterable, + Iterator, + List, + Optional, + Set, + Tuple, + TypeVar, + Union, +) + +from .utils import canonicalize_version +from .version import Version + +UnparsedVersion = Union[Version, str] +UnparsedVersionVar = TypeVar("UnparsedVersionVar", bound=UnparsedVersion) +CallableOperator = Callable[[Version, str], bool] + + +def _coerce_version(version: UnparsedVersion) -> Version: + if not isinstance(version, Version): + version = Version(version) + return version + + +class InvalidSpecifier(ValueError): + """ + Raised when attempting to create a :class:`Specifier` with a specifier + string that is invalid. + + >>> Specifier("lolwat") + Traceback (most recent call last): + ... + packaging.specifiers.InvalidSpecifier: Invalid specifier: 'lolwat' + """ + + +class BaseSpecifier(metaclass=abc.ABCMeta): + @abc.abstractmethod + def __str__(self) -> str: + """ + Returns the str representation of this Specifier-like object. This + should be representative of the Specifier itself. + """ + + @abc.abstractmethod + def __hash__(self) -> int: + """ + Returns a hash value for this Specifier-like object. + """ + + @abc.abstractmethod + def __eq__(self, other: object) -> bool: + """ + Returns a boolean representing whether or not the two Specifier-like + objects are equal. + + :param other: The other object to check against. + """ + + @property + @abc.abstractmethod + def prereleases(self) -> Optional[bool]: + """Whether or not pre-releases as a whole are allowed. + + This can be set to either ``True`` or ``False`` to explicitly enable or disable + prereleases or it can be set to ``None`` (the default) to use default semantics. + """ + + @prereleases.setter + def prereleases(self, value: bool) -> None: + """Setter for :attr:`prereleases`. + + :param value: The value to set. + """ + + @abc.abstractmethod + def contains(self, item: str, prereleases: Optional[bool] = None) -> bool: + """ + Determines if the given item is contained within this specifier. + """ + + @abc.abstractmethod + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """ + Takes an iterable of items and filters them so that only items which + are contained within this specifier are allowed in it. + """ + + +class Specifier(BaseSpecifier): + """This class abstracts handling of version specifiers. + + .. tip:: + + It is generally not required to instantiate this manually. You should instead + prefer to work with :class:`SpecifierSet` instead, which can parse + comma-separated version specifiers (which is what package metadata contains). + """ + + _operator_regex_str = r""" + (?P(~=|==|!=|<=|>=|<|>|===)) + """ + _version_regex_str = r""" + (?P + (?: + # The identity operators allow for an escape hatch that will + # do an exact string match of the version you wish to install. + # This will not be parsed by PEP 440 and we cannot determine + # any semantic meaning from it. This operator is discouraged + # but included entirely as an escape hatch. + (?<====) # Only match for the identity operator + \s* + [^\s;)]* # The arbitrary version can be just about anything, + # we match everything except for whitespace, a + # semi-colon for marker support, and a closing paren + # since versions can be enclosed in them. + ) + | + (?: + # The (non)equality operators allow for wild card and local + # versions to be specified so we have to define these two + # operators separately to enable that. + (?<===|!=) # Only match for equals and not equals + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)* # release + + # You cannot use a wild card and a pre-release, post-release, a dev or + # local version together so group them with a | and make them optional. + (?: + \.\* # Wild card syntax of .* + | + (?: # pre release + [-_\.]? + (alpha|beta|preview|pre|a|b|c|rc) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + (?:\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*)? # local + )? + ) + | + (?: + # The compatible operator requires at least two digits in the + # release segment. + (?<=~=) # Only match for the compatible operator + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)+ # release (We have a + instead of a *) + (?: # pre release + [-_\.]? + (alpha|beta|preview|pre|a|b|c|rc) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + ) + | + (?: + # All other operators only allow a sub set of what the + # (non)equality operators do. Specifically they do not allow + # local versions to be specified nor do they allow the prefix + # matching wild cards. + (?=": "greater_than_equal", + "<": "less_than", + ">": "greater_than", + "===": "arbitrary", + } + + def __init__(self, spec: str = "", prereleases: Optional[bool] = None) -> None: + """Initialize a Specifier instance. + + :param spec: + The string representation of a specifier which will be parsed and + normalized before use. + :param prereleases: + This tells the specifier if it should accept prerelease versions if + applicable or not. The default of ``None`` will autodetect it from the + given specifiers. + :raises InvalidSpecifier: + If the given specifier is invalid (i.e. bad syntax). + """ + match = self._regex.search(spec) + if not match: + raise InvalidSpecifier(f"Invalid specifier: '{spec}'") + + self._spec: Tuple[str, str] = ( + match.group("operator").strip(), + match.group("version").strip(), + ) + + # Store whether or not this Specifier should accept prereleases + self._prereleases = prereleases + + @property + def prereleases(self) -> bool: + # If there is an explicit prereleases set for this, then we'll just + # blindly use that. + if self._prereleases is not None: + return self._prereleases + + # Look at all of our specifiers and determine if they are inclusive + # operators, and if they are if they are including an explicit + # prerelease. + operator, version = self._spec + if operator in ["==", ">=", "<=", "~=", "==="]: + # The == specifier can include a trailing .*, if it does we + # want to remove before parsing. + if operator == "==" and version.endswith(".*"): + version = version[:-2] + + # Parse the version, and if it is a pre-release than this + # specifier allows pre-releases. + if Version(version).is_prerelease: + return True + + return False + + @prereleases.setter + def prereleases(self, value: bool) -> None: + self._prereleases = value + + @property + def operator(self) -> str: + """The operator of this specifier. + + >>> Specifier("==1.2.3").operator + '==' + """ + return self._spec[0] + + @property + def version(self) -> str: + """The version of this specifier. + + >>> Specifier("==1.2.3").version + '1.2.3' + """ + return self._spec[1] + + def __repr__(self) -> str: + """A representation of the Specifier that shows all internal state. + + >>> Specifier('>=1.0.0') + =1.0.0')> + >>> Specifier('>=1.0.0', prereleases=False) + =1.0.0', prereleases=False)> + >>> Specifier('>=1.0.0', prereleases=True) + =1.0.0', prereleases=True)> + """ + pre = ( + f", prereleases={self.prereleases!r}" + if self._prereleases is not None + else "" + ) + + return f"<{self.__class__.__name__}({str(self)!r}{pre})>" + + def __str__(self) -> str: + """A string representation of the Specifier that can be round-tripped. + + >>> str(Specifier('>=1.0.0')) + '>=1.0.0' + >>> str(Specifier('>=1.0.0', prereleases=False)) + '>=1.0.0' + """ + return "{}{}".format(*self._spec) + + @property + def _canonical_spec(self) -> Tuple[str, str]: + canonical_version = canonicalize_version( + self._spec[1], + strip_trailing_zero=(self._spec[0] != "~="), + ) + return self._spec[0], canonical_version + + def __hash__(self) -> int: + return hash(self._canonical_spec) + + def __eq__(self, other: object) -> bool: + """Whether or not the two Specifier-like objects are equal. + + :param other: The other object to check against. + + The value of :attr:`prereleases` is ignored. + + >>> Specifier("==1.2.3") == Specifier("== 1.2.3.0") + True + >>> (Specifier("==1.2.3", prereleases=False) == + ... Specifier("==1.2.3", prereleases=True)) + True + >>> Specifier("==1.2.3") == "==1.2.3" + True + >>> Specifier("==1.2.3") == Specifier("==1.2.4") + False + >>> Specifier("==1.2.3") == Specifier("~=1.2.3") + False + """ + if isinstance(other, str): + try: + other = self.__class__(str(other)) + except InvalidSpecifier: + return NotImplemented + elif not isinstance(other, self.__class__): + return NotImplemented + + return self._canonical_spec == other._canonical_spec + + def _get_operator(self, op: str) -> CallableOperator: + operator_callable: CallableOperator = getattr( + self, f"_compare_{self._operators[op]}" + ) + return operator_callable + + def _compare_compatible(self, prospective: Version, spec: str) -> bool: + + # Compatible releases have an equivalent combination of >= and ==. That + # is that ~=2.2 is equivalent to >=2.2,==2.*. This allows us to + # implement this in terms of the other specifiers instead of + # implementing it ourselves. The only thing we need to do is construct + # the other specifiers. + + # We want everything but the last item in the version, but we want to + # ignore suffix segments. + prefix = ".".join( + list(itertools.takewhile(_is_not_suffix, _version_split(spec)))[:-1] + ) + + # Add the prefix notation to the end of our string + prefix += ".*" + + return self._get_operator(">=")(prospective, spec) and self._get_operator("==")( + prospective, prefix + ) + + def _compare_equal(self, prospective: Version, spec: str) -> bool: + + # We need special logic to handle prefix matching + if spec.endswith(".*"): + # In the case of prefix matching we want to ignore local segment. + normalized_prospective = canonicalize_version(prospective.public) + # Get the normalized version string ignoring the trailing .* + normalized_spec = canonicalize_version(spec[:-2], strip_trailing_zero=False) + # Split the spec out by dots, and pretend that there is an implicit + # dot in between a release segment and a pre-release segment. + split_spec = _version_split(normalized_spec) + + # Split the prospective version out by dots, and pretend that there + # is an implicit dot in between a release segment and a pre-release + # segment. + split_prospective = _version_split(normalized_prospective) + + # 0-pad the prospective version before shortening it to get the correct + # shortened version. + padded_prospective, _ = _pad_version(split_prospective, split_spec) + + # Shorten the prospective version to be the same length as the spec + # so that we can determine if the specifier is a prefix of the + # prospective version or not. + shortened_prospective = padded_prospective[: len(split_spec)] + + return shortened_prospective == split_spec + else: + # Convert our spec string into a Version + spec_version = Version(spec) + + # If the specifier does not have a local segment, then we want to + # act as if the prospective version also does not have a local + # segment. + if not spec_version.local: + prospective = Version(prospective.public) + + return prospective == spec_version + + def _compare_not_equal(self, prospective: Version, spec: str) -> bool: + return not self._compare_equal(prospective, spec) + + def _compare_less_than_equal(self, prospective: Version, spec: str) -> bool: + + # NB: Local version identifiers are NOT permitted in the version + # specifier, so local version labels can be universally removed from + # the prospective version. + return Version(prospective.public) <= Version(spec) + + def _compare_greater_than_equal(self, prospective: Version, spec: str) -> bool: + + # NB: Local version identifiers are NOT permitted in the version + # specifier, so local version labels can be universally removed from + # the prospective version. + return Version(prospective.public) >= Version(spec) + + def _compare_less_than(self, prospective: Version, spec_str: str) -> bool: + + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec_str) + + # Check to see if the prospective version is less than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective < spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a pre-release version, that we do not accept pre-release + # versions for the version mentioned in the specifier (e.g. <3.1 should + # not match 3.1.dev0, but should match 3.0.dev0). + if not spec.is_prerelease and prospective.is_prerelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # less than the spec version *and* it's not a pre-release of the same + # version in the spec. + return True + + def _compare_greater_than(self, prospective: Version, spec_str: str) -> bool: + + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec_str) + + # Check to see if the prospective version is greater than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective > spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a post-release version, that we do not accept + # post-release versions for the version mentioned in the specifier + # (e.g. >3.1 should not match 3.0.post0, but should match 3.2.post0). + if not spec.is_postrelease and prospective.is_postrelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # Ensure that we do not allow a local version of the version mentioned + # in the specifier, which is technically greater than, to match. + if prospective.local is not None: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # greater than the spec version *and* it's not a pre-release of the + # same version in the spec. + return True + + def _compare_arbitrary(self, prospective: Version, spec: str) -> bool: + return str(prospective).lower() == str(spec).lower() + + def __contains__(self, item: Union[str, Version]) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: The item to check for. + + This is used for the ``in`` operator and behaves the same as + :meth:`contains` with no ``prereleases`` argument passed. + + >>> "1.2.3" in Specifier(">=1.2.3") + True + >>> Version("1.2.3") in Specifier(">=1.2.3") + True + >>> "1.0.0" in Specifier(">=1.2.3") + False + >>> "1.3.0a1" in Specifier(">=1.2.3") + False + >>> "1.3.0a1" in Specifier(">=1.2.3", prereleases=True) + True + """ + return self.contains(item) + + def contains( + self, item: UnparsedVersion, prereleases: Optional[bool] = None + ) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: + The item to check for, which can be a version string or a + :class:`Version` instance. + :param prereleases: + Whether or not to match prereleases with this Specifier. If set to + ``None`` (the default), it uses :attr:`prereleases` to determine + whether or not prereleases are allowed. + + >>> Specifier(">=1.2.3").contains("1.2.3") + True + >>> Specifier(">=1.2.3").contains(Version("1.2.3")) + True + >>> Specifier(">=1.2.3").contains("1.0.0") + False + >>> Specifier(">=1.2.3").contains("1.3.0a1") + False + >>> Specifier(">=1.2.3", prereleases=True).contains("1.3.0a1") + True + >>> Specifier(">=1.2.3").contains("1.3.0a1", prereleases=True) + True + """ + + # Determine if prereleases are to be allowed or not. + if prereleases is None: + prereleases = self.prereleases + + # Normalize item to a Version, this allows us to have a shortcut for + # "2.0" in Specifier(">=2") + normalized_item = _coerce_version(item) + + # Determine if we should be supporting prereleases in this specifier + # or not, if we do not support prereleases than we can short circuit + # logic if this version is a prereleases. + if normalized_item.is_prerelease and not prereleases: + return False + + # Actually do the comparison to determine if this item is contained + # within this Specifier or not. + operator_callable: CallableOperator = self._get_operator(self.operator) + return operator_callable(normalized_item, self.version) + + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """Filter items in the given iterable, that match the specifier. + + :param iterable: + An iterable that can contain version strings and :class:`Version` instances. + The items in the iterable will be filtered according to the specifier. + :param prereleases: + Whether or not to allow prereleases in the returned iterator. If set to + ``None`` (the default), it will be intelligently decide whether to allow + prereleases or not (based on the :attr:`prereleases` attribute, and + whether the only versions matching are prereleases). + + This method is smarter than just ``filter(Specifier().contains, [...])`` + because it implements the rule from :pep:`440` that a prerelease item + SHOULD be accepted if no other versions match the given specifier. + + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.3", "1.5a1"])) + ['1.3'] + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.2.3", "1.3", Version("1.4")])) + ['1.2.3', '1.3', ] + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.5a1"])) + ['1.5a1'] + >>> list(Specifier(">=1.2.3").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + >>> list(Specifier(">=1.2.3", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + """ + + yielded = False + found_prereleases = [] + + kw = {"prereleases": prereleases if prereleases is not None else True} + + # Attempt to iterate over all the values in the iterable and if any of + # them match, yield them. + for version in iterable: + parsed_version = _coerce_version(version) + + if self.contains(parsed_version, **kw): + # If our version is a prerelease, and we were not set to allow + # prereleases, then we'll store it for later in case nothing + # else matches this specifier. + if parsed_version.is_prerelease and not ( + prereleases or self.prereleases + ): + found_prereleases.append(version) + # Either this is not a prerelease, or we should have been + # accepting prereleases from the beginning. + else: + yielded = True + yield version + + # Now that we've iterated over everything, determine if we've yielded + # any values, and if we have not and we have any prereleases stored up + # then we will go ahead and yield the prereleases. + if not yielded and found_prereleases: + for version in found_prereleases: + yield version + + +_prefix_regex = re.compile(r"^([0-9]+)((?:a|b|c|rc)[0-9]+)$") + + +def _version_split(version: str) -> List[str]: + result: List[str] = [] + for item in version.split("."): + match = _prefix_regex.search(item) + if match: + result.extend(match.groups()) + else: + result.append(item) + return result + + +def _is_not_suffix(segment: str) -> bool: + return not any( + segment.startswith(prefix) for prefix in ("dev", "a", "b", "rc", "post") + ) + + +def _pad_version(left: List[str], right: List[str]) -> Tuple[List[str], List[str]]: + left_split, right_split = [], [] + + # Get the release segment of our versions + left_split.append(list(itertools.takewhile(lambda x: x.isdigit(), left))) + right_split.append(list(itertools.takewhile(lambda x: x.isdigit(), right))) + + # Get the rest of our versions + left_split.append(left[len(left_split[0]) :]) + right_split.append(right[len(right_split[0]) :]) + + # Insert our padding + left_split.insert(1, ["0"] * max(0, len(right_split[0]) - len(left_split[0]))) + right_split.insert(1, ["0"] * max(0, len(left_split[0]) - len(right_split[0]))) + + return (list(itertools.chain(*left_split)), list(itertools.chain(*right_split))) + + +class SpecifierSet(BaseSpecifier): + """This class abstracts handling of a set of version specifiers. + + It can be passed a single specifier (``>=3.0``), a comma-separated list of + specifiers (``>=3.0,!=3.1``), or no specifier at all. + """ + + def __init__( + self, specifiers: str = "", prereleases: Optional[bool] = None + ) -> None: + """Initialize a SpecifierSet instance. + + :param specifiers: + The string representation of a specifier or a comma-separated list of + specifiers which will be parsed and normalized before use. + :param prereleases: + This tells the SpecifierSet if it should accept prerelease versions if + applicable or not. The default of ``None`` will autodetect it from the + given specifiers. + + :raises InvalidSpecifier: + If the given ``specifiers`` are not parseable than this exception will be + raised. + """ + + # Split on `,` to break each individual specifier into it's own item, and + # strip each item to remove leading/trailing whitespace. + split_specifiers = [s.strip() for s in specifiers.split(",") if s.strip()] + + # Parsed each individual specifier, attempting first to make it a + # Specifier. + parsed: Set[Specifier] = set() + for specifier in split_specifiers: + parsed.add(Specifier(specifier)) + + # Turn our parsed specifiers into a frozen set and save them for later. + self._specs = frozenset(parsed) + + # Store our prereleases value so we can use it later to determine if + # we accept prereleases or not. + self._prereleases = prereleases + + @property + def prereleases(self) -> Optional[bool]: + # If we have been given an explicit prerelease modifier, then we'll + # pass that through here. + if self._prereleases is not None: + return self._prereleases + + # If we don't have any specifiers, and we don't have a forced value, + # then we'll just return None since we don't know if this should have + # pre-releases or not. + if not self._specs: + return None + + # Otherwise we'll see if any of the given specifiers accept + # prereleases, if any of them do we'll return True, otherwise False. + return any(s.prereleases for s in self._specs) + + @prereleases.setter + def prereleases(self, value: bool) -> None: + self._prereleases = value + + def __repr__(self) -> str: + """A representation of the specifier set that shows all internal state. + + Note that the ordering of the individual specifiers within the set may not + match the input string. + + >>> SpecifierSet('>=1.0.0,!=2.0.0') + =1.0.0')> + >>> SpecifierSet('>=1.0.0,!=2.0.0', prereleases=False) + =1.0.0', prereleases=False)> + >>> SpecifierSet('>=1.0.0,!=2.0.0', prereleases=True) + =1.0.0', prereleases=True)> + """ + pre = ( + f", prereleases={self.prereleases!r}" + if self._prereleases is not None + else "" + ) + + return f"" + + def __str__(self) -> str: + """A string representation of the specifier set that can be round-tripped. + + Note that the ordering of the individual specifiers within the set may not + match the input string. + + >>> str(SpecifierSet(">=1.0.0,!=1.0.1")) + '!=1.0.1,>=1.0.0' + >>> str(SpecifierSet(">=1.0.0,!=1.0.1", prereleases=False)) + '!=1.0.1,>=1.0.0' + """ + return ",".join(sorted(str(s) for s in self._specs)) + + def __hash__(self) -> int: + return hash(self._specs) + + def __and__(self, other: Union["SpecifierSet", str]) -> "SpecifierSet": + """Return a SpecifierSet which is a combination of the two sets. + + :param other: The other object to combine with. + + >>> SpecifierSet(">=1.0.0,!=1.0.1") & '<=2.0.0,!=2.0.1' + =1.0.0')> + >>> SpecifierSet(">=1.0.0,!=1.0.1") & SpecifierSet('<=2.0.0,!=2.0.1') + =1.0.0')> + """ + if isinstance(other, str): + other = SpecifierSet(other) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + specifier = SpecifierSet() + specifier._specs = frozenset(self._specs | other._specs) + + if self._prereleases is None and other._prereleases is not None: + specifier._prereleases = other._prereleases + elif self._prereleases is not None and other._prereleases is None: + specifier._prereleases = self._prereleases + elif self._prereleases == other._prereleases: + specifier._prereleases = self._prereleases + else: + raise ValueError( + "Cannot combine SpecifierSets with True and False prerelease " + "overrides." + ) + + return specifier + + def __eq__(self, other: object) -> bool: + """Whether or not the two SpecifierSet-like objects are equal. + + :param other: The other object to check against. + + The value of :attr:`prereleases` is ignored. + + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> (SpecifierSet(">=1.0.0,!=1.0.1", prereleases=False) == + ... SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True)) + True + >>> SpecifierSet(">=1.0.0,!=1.0.1") == ">=1.0.0,!=1.0.1" + True + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0,!=1.0.2") + False + """ + if isinstance(other, (str, Specifier)): + other = SpecifierSet(str(other)) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + return self._specs == other._specs + + def __len__(self) -> int: + """Returns the number of specifiers in this specifier set.""" + return len(self._specs) + + def __iter__(self) -> Iterator[Specifier]: + """ + Returns an iterator over all the underlying :class:`Specifier` instances + in this specifier set. + + >>> sorted(SpecifierSet(">=1.0.0,!=1.0.1"), key=str) + [, =1.0.0')>] + """ + return iter(self._specs) + + def __contains__(self, item: UnparsedVersion) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: The item to check for. + + This is used for the ``in`` operator and behaves the same as + :meth:`contains` with no ``prereleases`` argument passed. + + >>> "1.2.3" in SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> Version("1.2.3") in SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> "1.0.1" in SpecifierSet(">=1.0.0,!=1.0.1") + False + >>> "1.3.0a1" in SpecifierSet(">=1.0.0,!=1.0.1") + False + >>> "1.3.0a1" in SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True) + True + """ + return self.contains(item) + + def contains( + self, + item: UnparsedVersion, + prereleases: Optional[bool] = None, + installed: Optional[bool] = None, + ) -> bool: + """Return whether or not the item is contained in this SpecifierSet. + + :param item: + The item to check for, which can be a version string or a + :class:`Version` instance. + :param prereleases: + Whether or not to match prereleases with this SpecifierSet. If set to + ``None`` (the default), it uses :attr:`prereleases` to determine + whether or not prereleases are allowed. + + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.2.3") + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains(Version("1.2.3")) + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.0.1") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.3.0a1") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True).contains("1.3.0a1") + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.3.0a1", prereleases=True) + True + """ + # Ensure that our item is a Version instance. + if not isinstance(item, Version): + item = Version(item) + + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # We can determine if we're going to allow pre-releases by looking to + # see if any of the underlying items supports them. If none of them do + # and this item is a pre-release then we do not allow it and we can + # short circuit that here. + # Note: This means that 1.0.dev1 would not be contained in something + # like >=1.0.devabc however it would be in >=1.0.debabc,>0.0.dev0 + if not prereleases and item.is_prerelease: + return False + + if installed and item.is_prerelease: + item = Version(item.base_version) + + # We simply dispatch to the underlying specs here to make sure that the + # given version is contained within all of them. + # Note: This use of all() here means that an empty set of specifiers + # will always return True, this is an explicit design decision. + return all(s.contains(item, prereleases=prereleases) for s in self._specs) + + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """Filter items in the given iterable, that match the specifiers in this set. + + :param iterable: + An iterable that can contain version strings and :class:`Version` instances. + The items in the iterable will be filtered according to the specifier. + :param prereleases: + Whether or not to allow prereleases in the returned iterator. If set to + ``None`` (the default), it will be intelligently decide whether to allow + prereleases or not (based on the :attr:`prereleases` attribute, and + whether the only versions matching are prereleases). + + This method is smarter than just ``filter(SpecifierSet(...).contains, [...])`` + because it implements the rule from :pep:`440` that a prerelease item + SHOULD be accepted if no other versions match the given specifier. + + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.3", "1.5a1"])) + ['1.3'] + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.3", Version("1.4")])) + ['1.3', ] + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.5a1"])) + [] + >>> list(SpecifierSet(">=1.2.3").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + >>> list(SpecifierSet(">=1.2.3", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + + An "empty" SpecifierSet will filter items based on the presence of prerelease + versions in the set. + + >>> list(SpecifierSet("").filter(["1.3", "1.5a1"])) + ['1.3'] + >>> list(SpecifierSet("").filter(["1.5a1"])) + ['1.5a1'] + >>> list(SpecifierSet("", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + >>> list(SpecifierSet("").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + """ + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # If we have any specifiers, then we want to wrap our iterable in the + # filter method for each one, this will act as a logical AND amongst + # each specifier. + if self._specs: + for spec in self._specs: + iterable = spec.filter(iterable, prereleases=bool(prereleases)) + return iter(iterable) + # If we do not have any specifiers, then we need to have a rough filter + # which will filter out any pre-releases, unless there are no final + # releases. + else: + filtered: List[UnparsedVersionVar] = [] + found_prereleases: List[UnparsedVersionVar] = [] + + for item in iterable: + parsed_version = _coerce_version(item) + + # Store any item which is a pre-release for later unless we've + # already found a final version or we are accepting prereleases + if parsed_version.is_prerelease and not prereleases: + if not filtered: + found_prereleases.append(item) + else: + filtered.append(item) + + # If we've found no items except for pre-releases, then we'll go + # ahead and use the pre-releases + if not filtered and found_prereleases and prereleases is None: + return iter(found_prereleases) + + return iter(filtered) diff --git a/metaflow/_vendor/packaging/tags.py b/metaflow/_vendor/packaging/tags.py new file mode 100644 index 00000000000..19ccbde3ea2 --- /dev/null +++ b/metaflow/_vendor/packaging/tags.py @@ -0,0 +1,546 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import logging +import platform +import subprocess +import sys +import sysconfig +from importlib.machinery import EXTENSION_SUFFIXES +from typing import ( + Dict, + FrozenSet, + Iterable, + Iterator, + List, + Optional, + Sequence, + Tuple, + Union, + cast, +) + +from . import _manylinux, _musllinux + +logger = logging.getLogger(__name__) + +PythonVersion = Sequence[int] +MacVersion = Tuple[int, int] + +INTERPRETER_SHORT_NAMES: Dict[str, str] = { + "python": "py", # Generic. + "cpython": "cp", + "pypy": "pp", + "ironpython": "ip", + "jython": "jy", +} + + +_32_BIT_INTERPRETER = sys.maxsize <= 2**32 + + +class Tag: + """ + A representation of the tag triple for a wheel. + + Instances are considered immutable and thus are hashable. Equality checking + is also supported. + """ + + __slots__ = ["_interpreter", "_abi", "_platform", "_hash"] + + def __init__(self, interpreter: str, abi: str, platform: str) -> None: + self._interpreter = interpreter.lower() + self._abi = abi.lower() + self._platform = platform.lower() + # The __hash__ of every single element in a Set[Tag] will be evaluated each time + # that a set calls its `.disjoint()` method, which may be called hundreds of + # times when scanning a page of links for packages with tags matching that + # Set[Tag]. Pre-computing the value here produces significant speedups for + # downstream consumers. + self._hash = hash((self._interpreter, self._abi, self._platform)) + + @property + def interpreter(self) -> str: + return self._interpreter + + @property + def abi(self) -> str: + return self._abi + + @property + def platform(self) -> str: + return self._platform + + def __eq__(self, other: object) -> bool: + if not isinstance(other, Tag): + return NotImplemented + + return ( + (self._hash == other._hash) # Short-circuit ASAP for perf reasons. + and (self._platform == other._platform) + and (self._abi == other._abi) + and (self._interpreter == other._interpreter) + ) + + def __hash__(self) -> int: + return self._hash + + def __str__(self) -> str: + return f"{self._interpreter}-{self._abi}-{self._platform}" + + def __repr__(self) -> str: + return f"<{self} @ {id(self)}>" + + +def parse_tag(tag: str) -> FrozenSet[Tag]: + """ + Parses the provided tag (e.g. `py3-none-any`) into a frozenset of Tag instances. + + Returning a set is required due to the possibility that the tag is a + compressed tag set. + """ + tags = set() + interpreters, abis, platforms = tag.split("-") + for interpreter in interpreters.split("."): + for abi in abis.split("."): + for platform_ in platforms.split("."): + tags.add(Tag(interpreter, abi, platform_)) + return frozenset(tags) + + +def _get_config_var(name: str, warn: bool = False) -> Union[int, str, None]: + value = sysconfig.get_config_var(name) + if value is None and warn: + logger.debug( + "Config variable '%s' is unset, Python ABI tag may be incorrect", name + ) + return value + + +def _normalize_string(string: str) -> str: + return string.replace(".", "_").replace("-", "_") + + +def _abi3_applies(python_version: PythonVersion) -> bool: + """ + Determine if the Python version supports abi3. + + PEP 384 was first implemented in Python 3.2. + """ + return len(python_version) > 1 and tuple(python_version) >= (3, 2) + + +def _cpython_abis(py_version: PythonVersion, warn: bool = False) -> List[str]: + py_version = tuple(py_version) # To allow for version comparison. + abis = [] + version = _version_nodot(py_version[:2]) + debug = pymalloc = ucs4 = "" + with_debug = _get_config_var("Py_DEBUG", warn) + has_refcount = hasattr(sys, "gettotalrefcount") + # Windows doesn't set Py_DEBUG, so checking for support of debug-compiled + # extension modules is the best option. + # https://github.com/pypa/pip/issues/3383#issuecomment-173267692 + has_ext = "_d.pyd" in EXTENSION_SUFFIXES + if with_debug or (with_debug is None and (has_refcount or has_ext)): + debug = "d" + if py_version < (3, 8): + with_pymalloc = _get_config_var("WITH_PYMALLOC", warn) + if with_pymalloc or with_pymalloc is None: + pymalloc = "m" + if py_version < (3, 3): + unicode_size = _get_config_var("Py_UNICODE_SIZE", warn) + if unicode_size == 4 or ( + unicode_size is None and sys.maxunicode == 0x10FFFF + ): + ucs4 = "u" + elif debug: + # Debug builds can also load "normal" extension modules. + # We can also assume no UCS-4 or pymalloc requirement. + abis.append(f"cp{version}") + abis.insert( + 0, + "cp{version}{debug}{pymalloc}{ucs4}".format( + version=version, debug=debug, pymalloc=pymalloc, ucs4=ucs4 + ), + ) + return abis + + +def cpython_tags( + python_version: Optional[PythonVersion] = None, + abis: Optional[Iterable[str]] = None, + platforms: Optional[Iterable[str]] = None, + *, + warn: bool = False, +) -> Iterator[Tag]: + """ + Yields the tags for a CPython interpreter. + + The tags consist of: + - cp-- + - cp-abi3- + - cp-none- + - cp-abi3- # Older Python versions down to 3.2. + + If python_version only specifies a major version then user-provided ABIs and + the 'none' ABItag will be used. + + If 'abi3' or 'none' are specified in 'abis' then they will be yielded at + their normal position and not at the beginning. + """ + if not python_version: + python_version = sys.version_info[:2] + + interpreter = f"cp{_version_nodot(python_version[:2])}" + + if abis is None: + if len(python_version) > 1: + abis = _cpython_abis(python_version, warn) + else: + abis = [] + abis = list(abis) + # 'abi3' and 'none' are explicitly handled later. + for explicit_abi in ("abi3", "none"): + try: + abis.remove(explicit_abi) + except ValueError: + pass + + platforms = list(platforms or platform_tags()) + for abi in abis: + for platform_ in platforms: + yield Tag(interpreter, abi, platform_) + if _abi3_applies(python_version): + yield from (Tag(interpreter, "abi3", platform_) for platform_ in platforms) + yield from (Tag(interpreter, "none", platform_) for platform_ in platforms) + + if _abi3_applies(python_version): + for minor_version in range(python_version[1] - 1, 1, -1): + for platform_ in platforms: + interpreter = "cp{version}".format( + version=_version_nodot((python_version[0], minor_version)) + ) + yield Tag(interpreter, "abi3", platform_) + + +def _generic_abi() -> List[str]: + """ + Return the ABI tag based on EXT_SUFFIX. + """ + # The following are examples of `EXT_SUFFIX`. + # We want to keep the parts which are related to the ABI and remove the + # parts which are related to the platform: + # - linux: '.cpython-310-x86_64-linux-gnu.so' => cp310 + # - mac: '.cpython-310-darwin.so' => cp310 + # - win: '.cp310-win_amd64.pyd' => cp310 + # - win: '.pyd' => cp37 (uses _cpython_abis()) + # - pypy: '.pypy38-pp73-x86_64-linux-gnu.so' => pypy38_pp73 + # - graalpy: '.graalpy-38-native-x86_64-darwin.dylib' + # => graalpy_38_native + + ext_suffix = _get_config_var("EXT_SUFFIX", warn=True) + if not isinstance(ext_suffix, str) or ext_suffix[0] != ".": + raise SystemError("invalid sysconfig.get_config_var('EXT_SUFFIX')") + parts = ext_suffix.split(".") + if len(parts) < 3: + # CPython3.7 and earlier uses ".pyd" on Windows. + return _cpython_abis(sys.version_info[:2]) + soabi = parts[1] + if soabi.startswith("cpython"): + # non-windows + abi = "cp" + soabi.split("-")[1] + elif soabi.startswith("cp"): + # windows + abi = soabi.split("-")[0] + elif soabi.startswith("pypy"): + abi = "-".join(soabi.split("-")[:2]) + elif soabi.startswith("graalpy"): + abi = "-".join(soabi.split("-")[:3]) + elif soabi: + # pyston, ironpython, others? + abi = soabi + else: + return [] + return [_normalize_string(abi)] + + +def generic_tags( + interpreter: Optional[str] = None, + abis: Optional[Iterable[str]] = None, + platforms: Optional[Iterable[str]] = None, + *, + warn: bool = False, +) -> Iterator[Tag]: + """ + Yields the tags for a generic interpreter. + + The tags consist of: + - -- + + The "none" ABI will be added if it was not explicitly provided. + """ + if not interpreter: + interp_name = interpreter_name() + interp_version = interpreter_version(warn=warn) + interpreter = "".join([interp_name, interp_version]) + if abis is None: + abis = _generic_abi() + else: + abis = list(abis) + platforms = list(platforms or platform_tags()) + if "none" not in abis: + abis.append("none") + for abi in abis: + for platform_ in platforms: + yield Tag(interpreter, abi, platform_) + + +def _py_interpreter_range(py_version: PythonVersion) -> Iterator[str]: + """ + Yields Python versions in descending order. + + After the latest version, the major-only version will be yielded, and then + all previous versions of that major version. + """ + if len(py_version) > 1: + yield f"py{_version_nodot(py_version[:2])}" + yield f"py{py_version[0]}" + if len(py_version) > 1: + for minor in range(py_version[1] - 1, -1, -1): + yield f"py{_version_nodot((py_version[0], minor))}" + + +def compatible_tags( + python_version: Optional[PythonVersion] = None, + interpreter: Optional[str] = None, + platforms: Optional[Iterable[str]] = None, +) -> Iterator[Tag]: + """ + Yields the sequence of tags that are compatible with a specific version of Python. + + The tags consist of: + - py*-none- + - -none-any # ... if `interpreter` is provided. + - py*-none-any + """ + if not python_version: + python_version = sys.version_info[:2] + platforms = list(platforms or platform_tags()) + for version in _py_interpreter_range(python_version): + for platform_ in platforms: + yield Tag(version, "none", platform_) + if interpreter: + yield Tag(interpreter, "none", "any") + for version in _py_interpreter_range(python_version): + yield Tag(version, "none", "any") + + +def _mac_arch(arch: str, is_32bit: bool = _32_BIT_INTERPRETER) -> str: + if not is_32bit: + return arch + + if arch.startswith("ppc"): + return "ppc" + + return "i386" + + +def _mac_binary_formats(version: MacVersion, cpu_arch: str) -> List[str]: + formats = [cpu_arch] + if cpu_arch == "x86_64": + if version < (10, 4): + return [] + formats.extend(["intel", "fat64", "fat32"]) + + elif cpu_arch == "i386": + if version < (10, 4): + return [] + formats.extend(["intel", "fat32", "fat"]) + + elif cpu_arch == "ppc64": + # TODO: Need to care about 32-bit PPC for ppc64 through 10.2? + if version > (10, 5) or version < (10, 4): + return [] + formats.append("fat64") + + elif cpu_arch == "ppc": + if version > (10, 6): + return [] + formats.extend(["fat32", "fat"]) + + if cpu_arch in {"arm64", "x86_64"}: + formats.append("universal2") + + if cpu_arch in {"x86_64", "i386", "ppc64", "ppc", "intel"}: + formats.append("universal") + + return formats + + +def mac_platforms( + version: Optional[MacVersion] = None, arch: Optional[str] = None +) -> Iterator[str]: + """ + Yields the platform tags for a macOS system. + + The `version` parameter is a two-item tuple specifying the macOS version to + generate platform tags for. The `arch` parameter is the CPU architecture to + generate platform tags for. Both parameters default to the appropriate value + for the current system. + """ + version_str, _, cpu_arch = platform.mac_ver() + if version is None: + version = cast("MacVersion", tuple(map(int, version_str.split(".")[:2]))) + if version == (10, 16): + # When built against an older macOS SDK, Python will report macOS 10.16 + # instead of the real version. + version_str = subprocess.run( + [ + sys.executable, + "-sS", + "-c", + "import platform; print(platform.mac_ver()[0])", + ], + check=True, + env={"SYSTEM_VERSION_COMPAT": "0"}, + stdout=subprocess.PIPE, + universal_newlines=True, + ).stdout + version = cast("MacVersion", tuple(map(int, version_str.split(".")[:2]))) + else: + version = version + if arch is None: + arch = _mac_arch(cpu_arch) + else: + arch = arch + + if (10, 0) <= version and version < (11, 0): + # Prior to Mac OS 11, each yearly release of Mac OS bumped the + # "minor" version number. The major version was always 10. + for minor_version in range(version[1], -1, -1): + compat_version = 10, minor_version + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=10, minor=minor_version, binary_format=binary_format + ) + + if version >= (11, 0): + # Starting with Mac OS 11, each yearly release bumps the major version + # number. The minor versions are now the midyear updates. + for major_version in range(version[0], 10, -1): + compat_version = major_version, 0 + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=major_version, minor=0, binary_format=binary_format + ) + + if version >= (11, 0): + # Mac OS 11 on x86_64 is compatible with binaries from previous releases. + # Arm64 support was introduced in 11.0, so no Arm binaries from previous + # releases exist. + # + # However, the "universal2" binary format can have a + # macOS version earlier than 11.0 when the x86_64 part of the binary supports + # that version of macOS. + if arch == "x86_64": + for minor_version in range(16, 3, -1): + compat_version = 10, minor_version + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=compat_version[0], + minor=compat_version[1], + binary_format=binary_format, + ) + else: + for minor_version in range(16, 3, -1): + compat_version = 10, minor_version + binary_format = "universal2" + yield "macosx_{major}_{minor}_{binary_format}".format( + major=compat_version[0], + minor=compat_version[1], + binary_format=binary_format, + ) + + +def _linux_platforms(is_32bit: bool = _32_BIT_INTERPRETER) -> Iterator[str]: + linux = _normalize_string(sysconfig.get_platform()) + if is_32bit: + if linux == "linux_x86_64": + linux = "linux_i686" + elif linux == "linux_aarch64": + linux = "linux_armv7l" + _, arch = linux.split("_", 1) + yield from _manylinux.platform_tags(linux, arch) + yield from _musllinux.platform_tags(arch) + yield linux + + +def _generic_platforms() -> Iterator[str]: + yield _normalize_string(sysconfig.get_platform()) + + +def platform_tags() -> Iterator[str]: + """ + Provides the platform tags for this installation. + """ + if platform.system() == "Darwin": + return mac_platforms() + elif platform.system() == "Linux": + return _linux_platforms() + else: + return _generic_platforms() + + +def interpreter_name() -> str: + """ + Returns the name of the running interpreter. + + Some implementations have a reserved, two-letter abbreviation which will + be returned when appropriate. + """ + name = sys.implementation.name + return INTERPRETER_SHORT_NAMES.get(name) or name + + +def interpreter_version(*, warn: bool = False) -> str: + """ + Returns the version of the running interpreter. + """ + version = _get_config_var("py_version_nodot", warn=warn) + if version: + version = str(version) + else: + version = _version_nodot(sys.version_info[:2]) + return version + + +def _version_nodot(version: PythonVersion) -> str: + return "".join(map(str, version)) + + +def sys_tags(*, warn: bool = False) -> Iterator[Tag]: + """ + Returns the sequence of tag triples for the running interpreter. + + The order of the sequence corresponds to priority order for the + interpreter, from most to least important. + """ + + interp_name = interpreter_name() + if interp_name == "cp": + yield from cpython_tags(warn=warn) + else: + yield from generic_tags() + + if interp_name == "pp": + interp = "pp3" + elif interp_name == "cp": + interp = "cp" + interpreter_version(warn=warn) + else: + interp = None + yield from compatible_tags(interpreter=interp) diff --git a/metaflow/_vendor/packaging/utils.py b/metaflow/_vendor/packaging/utils.py new file mode 100644 index 00000000000..33c613b749a --- /dev/null +++ b/metaflow/_vendor/packaging/utils.py @@ -0,0 +1,141 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import re +from typing import FrozenSet, NewType, Tuple, Union, cast + +from .tags import Tag, parse_tag +from .version import InvalidVersion, Version + +BuildTag = Union[Tuple[()], Tuple[int, str]] +NormalizedName = NewType("NormalizedName", str) + + +class InvalidWheelFilename(ValueError): + """ + An invalid wheel filename was found, users should refer to PEP 427. + """ + + +class InvalidSdistFilename(ValueError): + """ + An invalid sdist filename was found, users should refer to the packaging user guide. + """ + + +_canonicalize_regex = re.compile(r"[-_.]+") +# PEP 427: The build number must start with a digit. +_build_tag_regex = re.compile(r"(\d+)(.*)") + + +def canonicalize_name(name: str) -> NormalizedName: + # This is taken from PEP 503. + value = _canonicalize_regex.sub("-", name).lower() + return cast(NormalizedName, value) + + +def canonicalize_version( + version: Union[Version, str], *, strip_trailing_zero: bool = True +) -> str: + """ + This is very similar to Version.__str__, but has one subtle difference + with the way it handles the release segment. + """ + if isinstance(version, str): + try: + parsed = Version(version) + except InvalidVersion: + # Legacy versions cannot be normalized + return version + else: + parsed = version + + parts = [] + + # Epoch + if parsed.epoch != 0: + parts.append(f"{parsed.epoch}!") + + # Release segment + release_segment = ".".join(str(x) for x in parsed.release) + if strip_trailing_zero: + # NB: This strips trailing '.0's to normalize + release_segment = re.sub(r"(\.0)+$", "", release_segment) + parts.append(release_segment) + + # Pre-release + if parsed.pre is not None: + parts.append("".join(str(x) for x in parsed.pre)) + + # Post-release + if parsed.post is not None: + parts.append(f".post{parsed.post}") + + # Development release + if parsed.dev is not None: + parts.append(f".dev{parsed.dev}") + + # Local version segment + if parsed.local is not None: + parts.append(f"+{parsed.local}") + + return "".join(parts) + + +def parse_wheel_filename( + filename: str, +) -> Tuple[NormalizedName, Version, BuildTag, FrozenSet[Tag]]: + if not filename.endswith(".whl"): + raise InvalidWheelFilename( + f"Invalid wheel filename (extension must be '.whl'): {filename}" + ) + + filename = filename[:-4] + dashes = filename.count("-") + if dashes not in (4, 5): + raise InvalidWheelFilename( + f"Invalid wheel filename (wrong number of parts): {filename}" + ) + + parts = filename.split("-", dashes - 2) + name_part = parts[0] + # See PEP 427 for the rules on escaping the project name + if "__" in name_part or re.match(r"^[\w\d._]*$", name_part, re.UNICODE) is None: + raise InvalidWheelFilename(f"Invalid project name: {filename}") + name = canonicalize_name(name_part) + version = Version(parts[1]) + if dashes == 5: + build_part = parts[2] + build_match = _build_tag_regex.match(build_part) + if build_match is None: + raise InvalidWheelFilename( + f"Invalid build number: {build_part} in '{filename}'" + ) + build = cast(BuildTag, (int(build_match.group(1)), build_match.group(2))) + else: + build = () + tags = parse_tag(parts[-1]) + return (name, version, build, tags) + + +def parse_sdist_filename(filename: str) -> Tuple[NormalizedName, Version]: + if filename.endswith(".tar.gz"): + file_stem = filename[: -len(".tar.gz")] + elif filename.endswith(".zip"): + file_stem = filename[: -len(".zip")] + else: + raise InvalidSdistFilename( + f"Invalid sdist filename (extension must be '.tar.gz' or '.zip'):" + f" {filename}" + ) + + # We are requiring a PEP 440 version, which cannot contain dashes, + # so we split on the last dash. + name_part, sep, version_part = file_stem.rpartition("-") + if not sep: + raise InvalidSdistFilename(f"Invalid sdist filename: {filename}") + + name = canonicalize_name(name_part) + version = Version(version_part) + return (name, version) diff --git a/metaflow/_vendor/packaging/version.py b/metaflow/_vendor/packaging/version.py new file mode 100644 index 00000000000..df5bbcbe1ab --- /dev/null +++ b/metaflow/_vendor/packaging/version.py @@ -0,0 +1,563 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +""" +.. testsetup:: + + from metaflow._vendor.packaging.version import parse, Version +""" + +import collections +import itertools +import re +from typing import Callable, Optional, SupportsInt, Tuple, Union + +from ._structures import Infinity, InfinityType, NegativeInfinity, NegativeInfinityType + +__all__ = ["VERSION_PATTERN", "parse", "Version", "InvalidVersion"] + +InfiniteTypes = Union[InfinityType, NegativeInfinityType] +PrePostDevType = Union[InfiniteTypes, Tuple[str, int]] +SubLocalType = Union[InfiniteTypes, int, str] +LocalType = Union[ + NegativeInfinityType, + Tuple[ + Union[ + SubLocalType, + Tuple[SubLocalType, str], + Tuple[NegativeInfinityType, SubLocalType], + ], + ..., + ], +] +CmpKey = Tuple[ + int, Tuple[int, ...], PrePostDevType, PrePostDevType, PrePostDevType, LocalType +] +VersionComparisonMethod = Callable[[CmpKey, CmpKey], bool] + +_Version = collections.namedtuple( + "_Version", ["epoch", "release", "dev", "pre", "post", "local"] +) + + +def parse(version: str) -> "Version": + """Parse the given version string. + + >>> parse('1.0.dev1') + + + :param version: The version string to parse. + :raises InvalidVersion: When the version string is not a valid version. + """ + return Version(version) + + +class InvalidVersion(ValueError): + """Raised when a version string is not a valid version. + + >>> Version("invalid") + Traceback (most recent call last): + ... + packaging.version.InvalidVersion: Invalid version: 'invalid' + """ + + +class _BaseVersion: + _key: CmpKey + + def __hash__(self) -> int: + return hash(self._key) + + # Please keep the duplicated `isinstance` check + # in the six comparisons hereunder + # unless you find a way to avoid adding overhead function calls. + def __lt__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key < other._key + + def __le__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key <= other._key + + def __eq__(self, other: object) -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key == other._key + + def __ge__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key >= other._key + + def __gt__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key > other._key + + def __ne__(self, other: object) -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key != other._key + + +# Deliberately not anchored to the start and end of the string, to make it +# easier for 3rd party code to reuse +_VERSION_PATTERN = r""" + v? + (?: + (?:(?P[0-9]+)!)? # epoch + (?P[0-9]+(?:\.[0-9]+)*) # release segment + (?P
                                          # pre-release
+            [-_\.]?
+            (?P(a|b|c|rc|alpha|beta|pre|preview))
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+        (?P                                         # post release
+            (?:-(?P[0-9]+))
+            |
+            (?:
+                [-_\.]?
+                (?Ppost|rev|r)
+                [-_\.]?
+                (?P[0-9]+)?
+            )
+        )?
+        (?P                                          # dev release
+            [-_\.]?
+            (?Pdev)
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+    )
+    (?:\+(?P[a-z0-9]+(?:[-_\.][a-z0-9]+)*))?       # local version
+"""
+
+VERSION_PATTERN = _VERSION_PATTERN
+"""
+A string containing the regular expression used to match a valid version.
+
+The pattern is not anchored at either end, and is intended for embedding in larger
+expressions (for example, matching a version number as part of a file name). The
+regular expression should be compiled with the ``re.VERBOSE`` and ``re.IGNORECASE``
+flags set.
+
+:meta hide-value:
+"""
+
+
+class Version(_BaseVersion):
+    """This class abstracts handling of a project's versions.
+
+    A :class:`Version` instance is comparison aware and can be compared and
+    sorted using the standard Python interfaces.
+
+    >>> v1 = Version("1.0a5")
+    >>> v2 = Version("1.0")
+    >>> v1
+    
+    >>> v2
+    
+    >>> v1 < v2
+    True
+    >>> v1 == v2
+    False
+    >>> v1 > v2
+    False
+    >>> v1 >= v2
+    False
+    >>> v1 <= v2
+    True
+    """
+
+    _regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)
+
+    def __init__(self, version: str) -> None:
+        """Initialize a Version object.
+
+        :param version:
+            The string representation of a version which will be parsed and normalized
+            before use.
+        :raises InvalidVersion:
+            If the ``version`` does not conform to PEP 440 in any way then this
+            exception will be raised.
+        """
+
+        # Validate the version and parse it into pieces
+        match = self._regex.search(version)
+        if not match:
+            raise InvalidVersion(f"Invalid version: '{version}'")
+
+        # Store the parsed out pieces of the version
+        self._version = _Version(
+            epoch=int(match.group("epoch")) if match.group("epoch") else 0,
+            release=tuple(int(i) for i in match.group("release").split(".")),
+            pre=_parse_letter_version(match.group("pre_l"), match.group("pre_n")),
+            post=_parse_letter_version(
+                match.group("post_l"), match.group("post_n1") or match.group("post_n2")
+            ),
+            dev=_parse_letter_version(match.group("dev_l"), match.group("dev_n")),
+            local=_parse_local_version(match.group("local")),
+        )
+
+        # Generate a key which will be used for sorting
+        self._key = _cmpkey(
+            self._version.epoch,
+            self._version.release,
+            self._version.pre,
+            self._version.post,
+            self._version.dev,
+            self._version.local,
+        )
+
+    def __repr__(self) -> str:
+        """A representation of the Version that shows all internal state.
+
+        >>> Version('1.0.0')
+        
+        """
+        return f""
+
+    def __str__(self) -> str:
+        """A string representation of the version that can be rounded-tripped.
+
+        >>> str(Version("1.0a5"))
+        '1.0a5'
+        """
+        parts = []
+
+        # Epoch
+        if self.epoch != 0:
+            parts.append(f"{self.epoch}!")
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self.release))
+
+        # Pre-release
+        if self.pre is not None:
+            parts.append("".join(str(x) for x in self.pre))
+
+        # Post-release
+        if self.post is not None:
+            parts.append(f".post{self.post}")
+
+        # Development release
+        if self.dev is not None:
+            parts.append(f".dev{self.dev}")
+
+        # Local version segment
+        if self.local is not None:
+            parts.append(f"+{self.local}")
+
+        return "".join(parts)
+
+    @property
+    def epoch(self) -> int:
+        """The epoch of the version.
+
+        >>> Version("2.0.0").epoch
+        0
+        >>> Version("1!2.0.0").epoch
+        1
+        """
+        _epoch: int = self._version.epoch
+        return _epoch
+
+    @property
+    def release(self) -> Tuple[int, ...]:
+        """The components of the "release" segment of the version.
+
+        >>> Version("1.2.3").release
+        (1, 2, 3)
+        >>> Version("2.0.0").release
+        (2, 0, 0)
+        >>> Version("1!2.0.0.post0").release
+        (2, 0, 0)
+
+        Includes trailing zeroes but not the epoch or any pre-release / development /
+        post-release suffixes.
+        """
+        _release: Tuple[int, ...] = self._version.release
+        return _release
+
+    @property
+    def pre(self) -> Optional[Tuple[str, int]]:
+        """The pre-release segment of the version.
+
+        >>> print(Version("1.2.3").pre)
+        None
+        >>> Version("1.2.3a1").pre
+        ('a', 1)
+        >>> Version("1.2.3b1").pre
+        ('b', 1)
+        >>> Version("1.2.3rc1").pre
+        ('rc', 1)
+        """
+        _pre: Optional[Tuple[str, int]] = self._version.pre
+        return _pre
+
+    @property
+    def post(self) -> Optional[int]:
+        """The post-release number of the version.
+
+        >>> print(Version("1.2.3").post)
+        None
+        >>> Version("1.2.3.post1").post
+        1
+        """
+        return self._version.post[1] if self._version.post else None
+
+    @property
+    def dev(self) -> Optional[int]:
+        """The development number of the version.
+
+        >>> print(Version("1.2.3").dev)
+        None
+        >>> Version("1.2.3.dev1").dev
+        1
+        """
+        return self._version.dev[1] if self._version.dev else None
+
+    @property
+    def local(self) -> Optional[str]:
+        """The local version segment of the version.
+
+        >>> print(Version("1.2.3").local)
+        None
+        >>> Version("1.2.3+abc").local
+        'abc'
+        """
+        if self._version.local:
+            return ".".join(str(x) for x in self._version.local)
+        else:
+            return None
+
+    @property
+    def public(self) -> str:
+        """The public portion of the version.
+
+        >>> Version("1.2.3").public
+        '1.2.3'
+        >>> Version("1.2.3+abc").public
+        '1.2.3'
+        >>> Version("1.2.3+abc.dev1").public
+        '1.2.3'
+        """
+        return str(self).split("+", 1)[0]
+
+    @property
+    def base_version(self) -> str:
+        """The "base version" of the version.
+
+        >>> Version("1.2.3").base_version
+        '1.2.3'
+        >>> Version("1.2.3+abc").base_version
+        '1.2.3'
+        >>> Version("1!1.2.3+abc.dev1").base_version
+        '1!1.2.3'
+
+        The "base version" is the public version of the project without any pre or post
+        release markers.
+        """
+        parts = []
+
+        # Epoch
+        if self.epoch != 0:
+            parts.append(f"{self.epoch}!")
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self.release))
+
+        return "".join(parts)
+
+    @property
+    def is_prerelease(self) -> bool:
+        """Whether this version is a pre-release.
+
+        >>> Version("1.2.3").is_prerelease
+        False
+        >>> Version("1.2.3a1").is_prerelease
+        True
+        >>> Version("1.2.3b1").is_prerelease
+        True
+        >>> Version("1.2.3rc1").is_prerelease
+        True
+        >>> Version("1.2.3dev1").is_prerelease
+        True
+        """
+        return self.dev is not None or self.pre is not None
+
+    @property
+    def is_postrelease(self) -> bool:
+        """Whether this version is a post-release.
+
+        >>> Version("1.2.3").is_postrelease
+        False
+        >>> Version("1.2.3.post1").is_postrelease
+        True
+        """
+        return self.post is not None
+
+    @property
+    def is_devrelease(self) -> bool:
+        """Whether this version is a development release.
+
+        >>> Version("1.2.3").is_devrelease
+        False
+        >>> Version("1.2.3.dev1").is_devrelease
+        True
+        """
+        return self.dev is not None
+
+    @property
+    def major(self) -> int:
+        """The first item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").major
+        1
+        """
+        return self.release[0] if len(self.release) >= 1 else 0
+
+    @property
+    def minor(self) -> int:
+        """The second item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").minor
+        2
+        >>> Version("1").minor
+        0
+        """
+        return self.release[1] if len(self.release) >= 2 else 0
+
+    @property
+    def micro(self) -> int:
+        """The third item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").micro
+        3
+        >>> Version("1").micro
+        0
+        """
+        return self.release[2] if len(self.release) >= 3 else 0
+
+
+def _parse_letter_version(
+    letter: str, number: Union[str, bytes, SupportsInt]
+) -> Optional[Tuple[str, int]]:
+
+    if letter:
+        # We consider there to be an implicit 0 in a pre-release if there is
+        # not a numeral associated with it.
+        if number is None:
+            number = 0
+
+        # We normalize any letters to their lower case form
+        letter = letter.lower()
+
+        # We consider some words to be alternate spellings of other words and
+        # in those cases we want to normalize the spellings to our preferred
+        # spelling.
+        if letter == "alpha":
+            letter = "a"
+        elif letter == "beta":
+            letter = "b"
+        elif letter in ["c", "pre", "preview"]:
+            letter = "rc"
+        elif letter in ["rev", "r"]:
+            letter = "post"
+
+        return letter, int(number)
+    if not letter and number:
+        # We assume if we are given a number, but we are not given a letter
+        # then this is using the implicit post release syntax (e.g. 1.0-1)
+        letter = "post"
+
+        return letter, int(number)
+
+    return None
+
+
+_local_version_separators = re.compile(r"[\._-]")
+
+
+def _parse_local_version(local: str) -> Optional[LocalType]:
+    """
+    Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").
+    """
+    if local is not None:
+        return tuple(
+            part.lower() if not part.isdigit() else int(part)
+            for part in _local_version_separators.split(local)
+        )
+    return None
+
+
+def _cmpkey(
+    epoch: int,
+    release: Tuple[int, ...],
+    pre: Optional[Tuple[str, int]],
+    post: Optional[Tuple[str, int]],
+    dev: Optional[Tuple[str, int]],
+    local: Optional[Tuple[SubLocalType]],
+) -> CmpKey:
+
+    # When we compare a release version, we want to compare it with all of the
+    # trailing zeros removed. So we'll use a reverse the list, drop all the now
+    # leading zeros until we come to something non zero, then take the rest
+    # re-reverse it back into the correct order and make it a tuple and use
+    # that for our sorting key.
+    _release = tuple(
+        reversed(list(itertools.dropwhile(lambda x: x == 0, reversed(release))))
+    )
+
+    # We need to "trick" the sorting algorithm to put 1.0.dev0 before 1.0a0.
+    # We'll do this by abusing the pre segment, but we _only_ want to do this
+    # if there is not a pre or a post segment. If we have one of those then
+    # the normal sorting rules will handle this case correctly.
+    if pre is None and post is None and dev is not None:
+        _pre: PrePostDevType = NegativeInfinity
+    # Versions without a pre-release (except as noted above) should sort after
+    # those with one.
+    elif pre is None:
+        _pre = Infinity
+    else:
+        _pre = pre
+
+    # Versions without a post segment should sort before those with one.
+    if post is None:
+        _post: PrePostDevType = NegativeInfinity
+
+    else:
+        _post = post
+
+    # Versions without a development segment should sort after those with one.
+    if dev is None:
+        _dev: PrePostDevType = Infinity
+
+    else:
+        _dev = dev
+
+    if local is None:
+        # Versions without a local segment should sort before those with one.
+        _local: LocalType = NegativeInfinity
+    else:
+        # Versions with a local segment need that segment parsed to implement
+        # the sorting rules in PEP440.
+        # - Alpha numeric segments sort before numeric segments
+        # - Alpha numeric segments sort lexicographically
+        # - Numeric segments sort numerically
+        # - Shorter versions sort before longer versions when the prefixes
+        #   match exactly
+        _local = tuple(
+            (i, "") if isinstance(i, int) else (NegativeInfinity, i) for i in local
+        )
+
+    return epoch, _release, _pre, _post, _dev, _local
diff --git a/metaflow/_vendor/typeguard.LICENSE b/metaflow/_vendor/typeguard.LICENSE
new file mode 100644
index 00000000000..07806f8af9d
--- /dev/null
+++ b/metaflow/_vendor/typeguard.LICENSE
@@ -0,0 +1,19 @@
+This is the MIT license: http://www.opensource.org/licenses/mit-license.php
+
+Copyright (c) Alex GrΓΆnholm
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this
+software and associated documentation files (the "Software"), to deal in the Software
+without restriction, including without limitation the rights to use, copy, modify, merge,
+publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
+to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or
+substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
+PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
+FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.
diff --git a/metaflow/_vendor/typeguard/__init__.py b/metaflow/_vendor/typeguard/__init__.py
new file mode 100644
index 00000000000..6781cad094b
--- /dev/null
+++ b/metaflow/_vendor/typeguard/__init__.py
@@ -0,0 +1,48 @@
+import os
+from typing import Any
+
+from ._checkers import TypeCheckerCallable as TypeCheckerCallable
+from ._checkers import TypeCheckLookupCallback as TypeCheckLookupCallback
+from ._checkers import check_type_internal as check_type_internal
+from ._checkers import checker_lookup_functions as checker_lookup_functions
+from ._checkers import load_plugins as load_plugins
+from ._config import CollectionCheckStrategy as CollectionCheckStrategy
+from ._config import ForwardRefPolicy as ForwardRefPolicy
+from ._config import TypeCheckConfiguration as TypeCheckConfiguration
+from ._decorators import typechecked as typechecked
+from ._decorators import typeguard_ignore as typeguard_ignore
+from ._exceptions import InstrumentationWarning as InstrumentationWarning
+from ._exceptions import TypeCheckError as TypeCheckError
+from ._exceptions import TypeCheckWarning as TypeCheckWarning
+from ._exceptions import TypeHintWarning as TypeHintWarning
+from ._functions import TypeCheckFailCallback as TypeCheckFailCallback
+from ._functions import check_type as check_type
+from ._functions import warn_on_error as warn_on_error
+from ._importhook import ImportHookManager as ImportHookManager
+from ._importhook import TypeguardFinder as TypeguardFinder
+from ._importhook import install_import_hook as install_import_hook
+from ._memo import TypeCheckMemo as TypeCheckMemo
+from ._suppression import suppress_type_checks as suppress_type_checks
+from ._utils import Unset as Unset
+
+# Re-export imports so they look like they live directly in this package
+for value in list(locals().values()):
+    if getattr(value, "__module__", "").startswith(f"{__name__}."):
+        value.__module__ = __name__
+
+
+config: TypeCheckConfiguration
+
+
+def __getattr__(name: str) -> Any:
+    if name == "config":
+        from ._config import global_config
+
+        return global_config
+
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+
+# Automatically load checker lookup functions unless explicitly disabled
+if "TYPEGUARD_DISABLE_PLUGIN_AUTOLOAD" not in os.environ:
+    load_plugins()
diff --git a/metaflow/_vendor/typeguard/_checkers.py b/metaflow/_vendor/typeguard/_checkers.py
new file mode 100644
index 00000000000..3603a302740
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_checkers.py
@@ -0,0 +1,1070 @@
+from __future__ import annotations
+
+import collections.abc
+import inspect
+import sys
+import types
+import typing
+import warnings
+from enum import Enum
+from inspect import Parameter, isclass, isfunction
+from io import BufferedIOBase, IOBase, RawIOBase, TextIOBase
+from itertools import zip_longest
+from textwrap import indent
+from typing import (
+    IO,
+    AbstractSet,
+    Any,
+    BinaryIO,
+    Callable,
+    Dict,
+    ForwardRef,
+    List,
+    Mapping,
+    MutableMapping,
+    NewType,
+    Optional,
+    Sequence,
+    Set,
+    TextIO,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+)
+from unittest.mock import Mock
+
+from metaflow._vendor import typing_extensions
+
+# Must use this because typing.is_typeddict does not recognize
+# TypedDict from typing_extensions, and as of version 4.12.0
+# typing_extensions.TypedDict is different from typing.TypedDict
+# on all versions.
+from metaflow._vendor.typing_extensions import is_typeddict
+
+from ._config import ForwardRefPolicy
+from ._exceptions import TypeCheckError, TypeHintWarning
+from ._memo import TypeCheckMemo
+from ._utils import evaluate_forwardref, get_stacklevel, get_type_name, qualified_name
+
+if sys.version_info >= (3, 11):
+    from typing import (
+        Annotated,
+        NotRequired,
+        TypeAlias,
+        get_args,
+        get_origin,
+    )
+
+    SubclassableAny = Any
+else:
+    from metaflow._vendor.typing_extensions import (
+        Annotated,
+        NotRequired,
+        TypeAlias,
+        get_args,
+        get_origin,
+    )
+    from metaflow._vendor.typing_extensions import Any as SubclassableAny
+
+if sys.version_info >= (3, 10):
+    from importlib.metadata import entry_points
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.importlib_metadata import entry_points
+    from metaflow._vendor.typing_extensions import ParamSpec
+
+TypeCheckerCallable: TypeAlias = Callable[
+    [Any, Any, Tuple[Any, ...], TypeCheckMemo], Any
+]
+TypeCheckLookupCallback: TypeAlias = Callable[
+    [Any, Tuple[Any, ...], Tuple[Any, ...]], Optional[TypeCheckerCallable]
+]
+
+checker_lookup_functions: list[TypeCheckLookupCallback] = []
+generic_alias_types: tuple[type, ...] = (type(List), type(List[Any]))
+if sys.version_info >= (3, 9):
+    generic_alias_types += (types.GenericAlias,)
+
+# Sentinel
+_missing = object()
+
+# Lifted from mypy.sharedparse
+BINARY_MAGIC_METHODS = {
+    "__add__",
+    "__and__",
+    "__cmp__",
+    "__divmod__",
+    "__div__",
+    "__eq__",
+    "__floordiv__",
+    "__ge__",
+    "__gt__",
+    "__iadd__",
+    "__iand__",
+    "__idiv__",
+    "__ifloordiv__",
+    "__ilshift__",
+    "__imatmul__",
+    "__imod__",
+    "__imul__",
+    "__ior__",
+    "__ipow__",
+    "__irshift__",
+    "__isub__",
+    "__itruediv__",
+    "__ixor__",
+    "__le__",
+    "__lshift__",
+    "__lt__",
+    "__matmul__",
+    "__mod__",
+    "__mul__",
+    "__ne__",
+    "__or__",
+    "__pow__",
+    "__radd__",
+    "__rand__",
+    "__rdiv__",
+    "__rfloordiv__",
+    "__rlshift__",
+    "__rmatmul__",
+    "__rmod__",
+    "__rmul__",
+    "__ror__",
+    "__rpow__",
+    "__rrshift__",
+    "__rshift__",
+    "__rsub__",
+    "__rtruediv__",
+    "__rxor__",
+    "__sub__",
+    "__truediv__",
+    "__xor__",
+}
+
+
+def check_callable(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not callable(value):
+        raise TypeCheckError("is not callable")
+
+    if args:
+        try:
+            signature = inspect.signature(value)
+        except (TypeError, ValueError):
+            return
+
+        argument_types = args[0]
+        if isinstance(argument_types, list) and not any(
+            type(item) is ParamSpec for item in argument_types
+        ):
+            # The callable must not have keyword-only arguments without defaults
+            unfulfilled_kwonlyargs = [
+                param.name
+                for param in signature.parameters.values()
+                if param.kind == Parameter.KEYWORD_ONLY
+                and param.default == Parameter.empty
+            ]
+            if unfulfilled_kwonlyargs:
+                raise TypeCheckError(
+                    f"has mandatory keyword-only arguments in its declaration: "
+                    f'{", ".join(unfulfilled_kwonlyargs)}'
+                )
+
+            num_positional_args = num_mandatory_pos_args = 0
+            has_varargs = False
+            for param in signature.parameters.values():
+                if param.kind in (
+                    Parameter.POSITIONAL_ONLY,
+                    Parameter.POSITIONAL_OR_KEYWORD,
+                ):
+                    num_positional_args += 1
+                    if param.default is Parameter.empty:
+                        num_mandatory_pos_args += 1
+                elif param.kind == Parameter.VAR_POSITIONAL:
+                    has_varargs = True
+
+            if num_mandatory_pos_args > len(argument_types):
+                raise TypeCheckError(
+                    f"has too many mandatory positional arguments in its declaration; "
+                    f"expected {len(argument_types)} but {num_mandatory_pos_args} "
+                    f"mandatory positional argument(s) declared"
+                )
+            elif not has_varargs and num_positional_args < len(argument_types):
+                raise TypeCheckError(
+                    f"has too few arguments in its declaration; expected "
+                    f"{len(argument_types)} but {num_positional_args} argument(s) "
+                    f"declared"
+                )
+
+
+def check_mapping(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is Dict or origin_type is dict:
+        if not isinstance(value, dict):
+            raise TypeCheckError("is not a dict")
+    if origin_type is MutableMapping or origin_type is collections.abc.MutableMapping:
+        if not isinstance(value, collections.abc.MutableMapping):
+            raise TypeCheckError("is not a mutable mapping")
+    elif not isinstance(value, collections.abc.Mapping):
+        raise TypeCheckError("is not a mapping")
+
+    if args:
+        key_type, value_type = args
+        if key_type is not Any or value_type is not Any:
+            samples = memo.config.collection_check_strategy.iterate_samples(
+                value.items()
+            )
+            for k, v in samples:
+                try:
+                    check_type_internal(k, key_type, memo)
+                except TypeCheckError as exc:
+                    exc.append_path_element(f"key {k!r}")
+                    raise
+
+                try:
+                    check_type_internal(v, value_type, memo)
+                except TypeCheckError as exc:
+                    exc.append_path_element(f"value of key {k!r}")
+                    raise
+
+
+def check_typed_dict(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, dict):
+        raise TypeCheckError("is not a dict")
+
+    declared_keys = frozenset(origin_type.__annotations__)
+    if hasattr(origin_type, "__required_keys__"):
+        required_keys = set(origin_type.__required_keys__)
+    else:  # py3.8 and lower
+        required_keys = set(declared_keys) if origin_type.__total__ else set()
+
+    existing_keys = set(value)
+    extra_keys = existing_keys - declared_keys
+    if extra_keys:
+        keys_formatted = ", ".join(f'"{key}"' for key in sorted(extra_keys, key=repr))
+        raise TypeCheckError(f"has unexpected extra key(s): {keys_formatted}")
+
+    # Detect NotRequired fields which are hidden by get_type_hints()
+    type_hints: dict[str, type] = {}
+    for key, annotation in origin_type.__annotations__.items():
+        if isinstance(annotation, ForwardRef):
+            annotation = evaluate_forwardref(annotation, memo)
+            if get_origin(annotation) is NotRequired:
+                required_keys.discard(key)
+                annotation = get_args(annotation)[0]
+
+        type_hints[key] = annotation
+
+    missing_keys = required_keys - existing_keys
+    if missing_keys:
+        keys_formatted = ", ".join(f'"{key}"' for key in sorted(missing_keys, key=repr))
+        raise TypeCheckError(f"is missing required key(s): {keys_formatted}")
+
+    for key, argtype in type_hints.items():
+        argvalue = value.get(key, _missing)
+        if argvalue is not _missing:
+            try:
+                check_type_internal(argvalue, argtype, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"value of key {key!r}")
+                raise
+
+
+def check_list(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, list):
+        raise TypeCheckError("is not a list")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, v in enumerate(samples):
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_sequence(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, collections.abc.Sequence):
+        raise TypeCheckError("is not a sequence")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, v in enumerate(samples):
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_set(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is frozenset:
+        if not isinstance(value, frozenset):
+            raise TypeCheckError("is not a frozenset")
+    elif not isinstance(value, AbstractSet):
+        raise TypeCheckError("is not a set")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for v in samples:
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"[{v}]")
+                raise
+
+
+def check_tuple(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    # Specialized check for NamedTuples
+    if field_types := getattr(origin_type, "__annotations__", None):
+        if not isinstance(value, origin_type):
+            raise TypeCheckError(
+                f"is not a named tuple of type {qualified_name(origin_type)}"
+            )
+
+        for name, field_type in field_types.items():
+            try:
+                check_type_internal(getattr(value, name), field_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"attribute {name!r}")
+                raise
+
+        return
+    elif not isinstance(value, tuple):
+        raise TypeCheckError("is not a tuple")
+
+    if args:
+        use_ellipsis = args[-1] is Ellipsis
+        tuple_params = args[: -1 if use_ellipsis else None]
+    else:
+        # Unparametrized Tuple or plain tuple
+        return
+
+    if use_ellipsis:
+        element_type = tuple_params[0]
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, element in enumerate(samples):
+            try:
+                check_type_internal(element, element_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+    elif tuple_params == ((),):
+        if value != ():
+            raise TypeCheckError("is not an empty tuple")
+    else:
+        if len(value) != len(tuple_params):
+            raise TypeCheckError(
+                f"has wrong number of elements (expected {len(tuple_params)}, got "
+                f"{len(value)} instead)"
+            )
+
+        for i, (element, element_type) in enumerate(zip(value, tuple_params)):
+            try:
+                check_type_internal(element, element_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_union(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    errors: dict[str, TypeCheckError] = {}
+    try:
+        for type_ in args:
+            try:
+                check_type_internal(value, type_, memo)
+                return
+            except TypeCheckError as exc:
+                errors[get_type_name(type_)] = exc
+
+        formatted_errors = indent(
+            "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+        )
+    finally:
+        del errors  # avoid creating ref cycle
+    raise TypeCheckError(f"did not match any element in the union:\n{formatted_errors}")
+
+
+def check_uniontype(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    errors: dict[str, TypeCheckError] = {}
+    for type_ in args:
+        try:
+            check_type_internal(value, type_, memo)
+            return
+        except TypeCheckError as exc:
+            errors[get_type_name(type_)] = exc
+
+    formatted_errors = indent(
+        "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+    )
+    raise TypeCheckError(f"did not match any element in the union:\n{formatted_errors}")
+
+
+def check_class(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isclass(value) and not isinstance(value, generic_alias_types):
+        raise TypeCheckError("is not a class")
+
+    if not args:
+        return
+
+    if isinstance(args[0], ForwardRef):
+        expected_class = evaluate_forwardref(args[0], memo)
+    else:
+        expected_class = args[0]
+
+    if expected_class is Any:
+        return
+    elif getattr(expected_class, "_is_protocol", False):
+        check_protocol(value, expected_class, (), memo)
+    elif isinstance(expected_class, TypeVar):
+        check_typevar(value, expected_class, (), memo, subclass_check=True)
+    elif get_origin(expected_class) is Union:
+        errors: dict[str, TypeCheckError] = {}
+        for arg in get_args(expected_class):
+            if arg is Any:
+                return
+
+            try:
+                check_class(value, type, (arg,), memo)
+                return
+            except TypeCheckError as exc:
+                errors[get_type_name(arg)] = exc
+        else:
+            formatted_errors = indent(
+                "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+            )
+            raise TypeCheckError(
+                f"did not match any element in the union:\n{formatted_errors}"
+            )
+    elif not issubclass(value, expected_class):  # type: ignore[arg-type]
+        raise TypeCheckError(f"is not a subclass of {qualified_name(expected_class)}")
+
+
+def check_newtype(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, origin_type.__supertype__, memo)
+
+
+def check_instance(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, origin_type):
+        raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+
+
+def check_typevar(
+    value: Any,
+    origin_type: TypeVar,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+    *,
+    subclass_check: bool = False,
+) -> None:
+    if origin_type.__bound__ is not None:
+        annotation = (
+            Type[origin_type.__bound__] if subclass_check else origin_type.__bound__
+        )
+        check_type_internal(value, annotation, memo)
+    elif origin_type.__constraints__:
+        for constraint in origin_type.__constraints__:
+            annotation = Type[constraint] if subclass_check else constraint
+            try:
+                check_type_internal(value, annotation, memo)
+            except TypeCheckError:
+                pass
+            else:
+                break
+        else:
+            formatted_constraints = ", ".join(
+                get_type_name(constraint) for constraint in origin_type.__constraints__
+            )
+            raise TypeCheckError(
+                f"does not match any of the constraints " f"({formatted_constraints})"
+            )
+
+
+def _is_literal_type(typ: object) -> bool:
+    return typ is typing.Literal or typ is typing_extensions.Literal
+
+
+def check_literal(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    def get_literal_args(literal_args: tuple[Any, ...]) -> tuple[Any, ...]:
+        retval: list[Any] = []
+        for arg in literal_args:
+            if _is_literal_type(get_origin(arg)):
+                retval.extend(get_literal_args(arg.__args__))
+            elif arg is None or isinstance(arg, (int, str, bytes, bool, Enum)):
+                retval.append(arg)
+            else:
+                raise TypeError(
+                    f"Illegal literal value: {arg}"
+                )  # TypeError here is deliberate
+
+        return tuple(retval)
+
+    final_args = tuple(get_literal_args(args))
+    try:
+        index = final_args.index(value)
+    except ValueError:
+        pass
+    else:
+        if type(final_args[index]) is type(value):
+            return
+
+    formatted_args = ", ".join(repr(arg) for arg in final_args)
+    raise TypeCheckError(f"is not any of ({formatted_args})") from None
+
+
+def check_literal_string(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, str, memo)
+
+
+def check_typeguard(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, bool, memo)
+
+
+def check_none(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if value is not None:
+        raise TypeCheckError("is not None")
+
+
+def check_number(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is complex and not isinstance(value, (complex, float, int)):
+        raise TypeCheckError("is neither complex, float or int")
+    elif origin_type is float and not isinstance(value, (float, int)):
+        raise TypeCheckError("is neither float or int")
+
+
+def check_io(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is TextIO or (origin_type is IO and args == (str,)):
+        if not isinstance(value, TextIOBase):
+            raise TypeCheckError("is not a text based I/O object")
+    elif origin_type is BinaryIO or (origin_type is IO and args == (bytes,)):
+        if not isinstance(value, (RawIOBase, BufferedIOBase)):
+            raise TypeCheckError("is not a binary I/O object")
+    elif not isinstance(value, IOBase):
+        raise TypeCheckError("is not an I/O object")
+
+
+def check_signature_compatible(
+    subject_callable: Callable[..., Any], protocol: type, attrname: str
+) -> None:
+    subject_sig = inspect.signature(subject_callable)
+    protocol_sig = inspect.signature(getattr(protocol, attrname))
+    protocol_type: typing.Literal["instance", "class", "static"] = "instance"
+    subject_type: typing.Literal["instance", "class", "static"] = "instance"
+
+    # Check if the protocol-side method is a class method or static method
+    if attrname in protocol.__dict__:
+        descriptor = protocol.__dict__[attrname]
+        if isinstance(descriptor, staticmethod):
+            protocol_type = "static"
+        elif isinstance(descriptor, classmethod):
+            protocol_type = "class"
+
+    # Check if the subject-side method is a class method or static method
+    if inspect.ismethod(subject_callable) and inspect.isclass(
+        subject_callable.__self__
+    ):
+        subject_type = "class"
+    elif not hasattr(subject_callable, "__self__"):
+        subject_type = "static"
+
+    if protocol_type == "instance" and subject_type != "instance":
+        raise TypeCheckError(
+            f"should be an instance method but it's a {subject_type} method"
+        )
+    elif protocol_type != "instance" and subject_type == "instance":
+        raise TypeCheckError(
+            f"should be a {protocol_type} method but it's an instance method"
+        )
+
+    expected_varargs = any(
+        param
+        for param in protocol_sig.parameters.values()
+        if param.kind is Parameter.VAR_POSITIONAL
+    )
+    has_varargs = any(
+        param
+        for param in subject_sig.parameters.values()
+        if param.kind is Parameter.VAR_POSITIONAL
+    )
+    if expected_varargs and not has_varargs:
+        raise TypeCheckError("should accept variable positional arguments but doesn't")
+
+    protocol_has_varkwargs = any(
+        param
+        for param in protocol_sig.parameters.values()
+        if param.kind is Parameter.VAR_KEYWORD
+    )
+    subject_has_varkwargs = any(
+        param
+        for param in subject_sig.parameters.values()
+        if param.kind is Parameter.VAR_KEYWORD
+    )
+    if protocol_has_varkwargs and not subject_has_varkwargs:
+        raise TypeCheckError("should accept variable keyword arguments but doesn't")
+
+    # Check that the callable has at least the expect amount of positional-only
+    # arguments (and no extra positional-only arguments without default values)
+    if not has_varargs:
+        protocol_args = [
+            param
+            for param in protocol_sig.parameters.values()
+            if param.kind
+            in (Parameter.POSITIONAL_ONLY, Parameter.POSITIONAL_OR_KEYWORD)
+        ]
+        subject_args = [
+            param
+            for param in subject_sig.parameters.values()
+            if param.kind
+            in (Parameter.POSITIONAL_ONLY, Parameter.POSITIONAL_OR_KEYWORD)
+        ]
+
+        # Remove the "self" parameter from the protocol arguments to match
+        if protocol_type == "instance":
+            protocol_args.pop(0)
+
+        for protocol_arg, subject_arg in zip_longest(protocol_args, subject_args):
+            if protocol_arg is None:
+                if subject_arg.default is Parameter.empty:
+                    raise TypeCheckError("has too many mandatory positional arguments")
+
+                break
+
+            if subject_arg is None:
+                raise TypeCheckError("has too few positional arguments")
+
+            if (
+                protocol_arg.kind is Parameter.POSITIONAL_OR_KEYWORD
+                and subject_arg.kind is Parameter.POSITIONAL_ONLY
+            ):
+                raise TypeCheckError(
+                    f"has an argument ({subject_arg.name}) that should not be "
+                    f"positional-only"
+                )
+
+            if (
+                protocol_arg.kind is Parameter.POSITIONAL_OR_KEYWORD
+                and protocol_arg.name != subject_arg.name
+            ):
+                raise TypeCheckError(
+                    f"has a positional argument ({subject_arg.name}) that should be "
+                    f"named {protocol_arg.name!r} at this position"
+                )
+
+    protocol_kwonlyargs = {
+        param.name: param
+        for param in protocol_sig.parameters.values()
+        if param.kind is Parameter.KEYWORD_ONLY
+    }
+    subject_kwonlyargs = {
+        param.name: param
+        for param in subject_sig.parameters.values()
+        if param.kind is Parameter.KEYWORD_ONLY
+    }
+    if not subject_has_varkwargs:
+        # Check that the signature has at least the required keyword-only arguments, and
+        # no extra mandatory keyword-only arguments
+        if missing_kwonlyargs := [
+            param.name
+            for param in protocol_kwonlyargs.values()
+            if param.name not in subject_kwonlyargs
+        ]:
+            raise TypeCheckError(
+                "is missing keyword-only arguments: " + ", ".join(missing_kwonlyargs)
+            )
+
+    if not protocol_has_varkwargs:
+        if extra_kwonlyargs := [
+            param.name
+            for param in subject_kwonlyargs.values()
+            if param.default is Parameter.empty
+            and param.name not in protocol_kwonlyargs
+        ]:
+            raise TypeCheckError(
+                "has mandatory keyword-only arguments not present in the protocol: "
+                + ", ".join(extra_kwonlyargs)
+            )
+
+
+def check_protocol(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    origin_annotations = typing.get_type_hints(origin_type)
+    for attrname in sorted(typing_extensions.get_protocol_members(origin_type)):
+        if (annotation := origin_annotations.get(attrname)) is not None:
+            try:
+                subject_member = getattr(value, attrname)
+            except AttributeError:
+                raise TypeCheckError(
+                    f"is not compatible with the {origin_type.__qualname__} "
+                    f"protocol because it has no attribute named {attrname!r}"
+                ) from None
+
+            try:
+                check_type_internal(subject_member, annotation, memo)
+            except TypeCheckError as exc:
+                raise TypeCheckError(
+                    f"is not compatible with the {origin_type.__qualname__} "
+                    f"protocol because its {attrname!r} attribute {exc}"
+                ) from None
+        elif callable(getattr(origin_type, attrname)):
+            try:
+                subject_member = getattr(value, attrname)
+            except AttributeError:
+                raise TypeCheckError(
+                    f"is not compatible with the {origin_type.__qualname__} "
+                    f"protocol because it has no method named {attrname!r}"
+                ) from None
+
+            if not callable(subject_member):
+                raise TypeCheckError(
+                    f"is not compatible with the {origin_type.__qualname__} "
+                    f"protocol because its {attrname!r} attribute is not a callable"
+                )
+
+            # TODO: implement assignability checks for parameter and return value
+            #  annotations
+            try:
+                check_signature_compatible(subject_member, origin_type, attrname)
+            except TypeCheckError as exc:
+                raise TypeCheckError(
+                    f"is not compatible with the {origin_type.__qualname__} "
+                    f"protocol because its {attrname!r} method {exc}"
+                ) from None
+
+
+def check_byteslike(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, (bytearray, bytes, memoryview)):
+        raise TypeCheckError("is not bytes-like")
+
+
+def check_self(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if memo.self_type is None:
+        raise TypeCheckError("cannot be checked against Self outside of a method call")
+
+    if isclass(value):
+        if not issubclass(value, memo.self_type):
+            raise TypeCheckError(
+                f"is not an instance of the self type "
+                f"({qualified_name(memo.self_type)})"
+            )
+    elif not isinstance(value, memo.self_type):
+        raise TypeCheckError(
+            f"is not an instance of the self type ({qualified_name(memo.self_type)})"
+        )
+
+
+def check_paramspec(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    pass  # No-op for now
+
+
+def check_instanceof(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, origin_type):
+        raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+
+
+def check_type_internal(
+    value: Any,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> None:
+    """
+    Check that the given object is compatible with the given type annotation.
+
+    This function should only be used by type checker callables. Applications should use
+    :func:`~.check_type` instead.
+
+    :param value: the value to check
+    :param annotation: the type annotation to check against
+    :param memo: a memo object containing configuration and information necessary for
+        looking up forward references
+    """
+
+    if isinstance(annotation, ForwardRef):
+        try:
+            annotation = evaluate_forwardref(annotation, memo)
+        except NameError:
+            if memo.config.forward_ref_policy is ForwardRefPolicy.ERROR:
+                raise
+            elif memo.config.forward_ref_policy is ForwardRefPolicy.WARN:
+                warnings.warn(
+                    f"Cannot resolve forward reference {annotation.__forward_arg__!r}",
+                    TypeHintWarning,
+                    stacklevel=get_stacklevel(),
+                )
+
+            return
+
+    if annotation is Any or annotation is SubclassableAny or isinstance(value, Mock):
+        return
+
+    # Skip type checks if value is an instance of a class that inherits from Any
+    if not isclass(value) and SubclassableAny in type(value).__bases__:
+        return
+
+    extras: tuple[Any, ...]
+    origin_type = get_origin(annotation)
+    if origin_type is Annotated:
+        annotation, *extras_ = get_args(annotation)
+        extras = tuple(extras_)
+        origin_type = get_origin(annotation)
+    else:
+        extras = ()
+
+    if origin_type is not None:
+        args = get_args(annotation)
+
+        # Compatibility hack to distinguish between unparametrized and empty tuple
+        # (tuple[()]), necessary due to https://github.com/python/cpython/issues/91137
+        if origin_type in (tuple, Tuple) and annotation is not Tuple and not args:
+            args = ((),)
+    else:
+        origin_type = annotation
+        args = ()
+
+    for lookup_func in checker_lookup_functions:
+        checker = lookup_func(origin_type, args, extras)
+        if checker:
+            checker(value, origin_type, args, memo)
+            return
+
+    if isclass(origin_type):
+        if not isinstance(value, origin_type):
+            raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+    elif type(origin_type) is str:  # noqa: E721
+        warnings.warn(
+            f"Skipping type check against {origin_type!r}; this looks like a "
+            f"string-form forward reference imported from another module",
+            TypeHintWarning,
+            stacklevel=get_stacklevel(),
+        )
+
+
+# Equality checks are applied to these
+origin_type_checkers = {
+    bytes: check_byteslike,
+    AbstractSet: check_set,
+    BinaryIO: check_io,
+    Callable: check_callable,
+    collections.abc.Callable: check_callable,
+    complex: check_number,
+    dict: check_mapping,
+    Dict: check_mapping,
+    float: check_number,
+    frozenset: check_set,
+    IO: check_io,
+    list: check_list,
+    List: check_list,
+    typing.Literal: check_literal,
+    Mapping: check_mapping,
+    MutableMapping: check_mapping,
+    None: check_none,
+    collections.abc.Mapping: check_mapping,
+    collections.abc.MutableMapping: check_mapping,
+    Sequence: check_sequence,
+    collections.abc.Sequence: check_sequence,
+    collections.abc.Set: check_set,
+    set: check_set,
+    Set: check_set,
+    TextIO: check_io,
+    tuple: check_tuple,
+    Tuple: check_tuple,
+    type: check_class,
+    Type: check_class,
+    Union: check_union,
+    # On some versions of Python, these may simply be re-exports from "typing",
+    # but exactly which Python versions is subject to change.
+    # It's best to err on the safe side and just always specify these.
+    typing_extensions.Literal: check_literal,
+    typing_extensions.LiteralString: check_literal_string,
+    typing_extensions.Self: check_self,
+    typing_extensions.TypeGuard: check_typeguard,
+}
+if sys.version_info >= (3, 10):
+    origin_type_checkers[types.UnionType] = check_uniontype
+    origin_type_checkers[typing.TypeGuard] = check_typeguard
+if sys.version_info >= (3, 11):
+    origin_type_checkers.update(
+        {typing.LiteralString: check_literal_string, typing.Self: check_self}
+    )
+
+
+def builtin_checker_lookup(
+    origin_type: Any, args: tuple[Any, ...], extras: tuple[Any, ...]
+) -> TypeCheckerCallable | None:
+    checker = origin_type_checkers.get(origin_type)
+    if checker is not None:
+        return checker
+    elif is_typeddict(origin_type):
+        return check_typed_dict
+    elif isclass(origin_type) and issubclass(
+        origin_type,
+        Tuple,  # type: ignore[arg-type]
+    ):
+        # NamedTuple
+        return check_tuple
+    elif getattr(origin_type, "_is_protocol", False):
+        return check_protocol
+    elif isinstance(origin_type, ParamSpec):
+        return check_paramspec
+    elif isinstance(origin_type, TypeVar):
+        return check_typevar
+    elif origin_type.__class__ is NewType:
+        # typing.NewType on Python 3.10+
+        return check_newtype
+    elif (
+        isfunction(origin_type)
+        and getattr(origin_type, "__module__", None) == "typing"
+        and getattr(origin_type, "__qualname__", "").startswith("NewType.")
+        and hasattr(origin_type, "__supertype__")
+    ):
+        # typing.NewType on Python 3.9 and below
+        return check_newtype
+
+    return None
+
+
+checker_lookup_functions.append(builtin_checker_lookup)
+
+
+def load_plugins() -> None:
+    """
+    Load all type checker lookup functions from entry points.
+
+    All entry points from the ``typeguard.checker_lookup`` group are loaded, and the
+    returned lookup functions are added to :data:`typeguard.checker_lookup_functions`.
+
+    .. note:: This function is called implicitly on import, unless the
+        ``TYPEGUARD_DISABLE_PLUGIN_AUTOLOAD`` environment variable is present.
+    """
+
+    for ep in entry_points(group="typeguard.checker_lookup"):
+        try:
+            plugin = ep.load()
+        except Exception as exc:
+            warnings.warn(
+                f"Failed to load plugin {ep.name!r}: " f"{qualified_name(exc)}: {exc}",
+                stacklevel=2,
+            )
+            continue
+
+        if not callable(plugin):
+            warnings.warn(
+                f"Plugin {ep} returned a non-callable object: {plugin!r}", stacklevel=2
+            )
+            continue
+
+        checker_lookup_functions.insert(0, plugin)
diff --git a/metaflow/_vendor/typeguard/_config.py b/metaflow/_vendor/typeguard/_config.py
new file mode 100644
index 00000000000..36efad53965
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_config.py
@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+from collections.abc import Iterable
+from dataclasses import dataclass
+from enum import Enum, auto
+from typing import TYPE_CHECKING, TypeVar
+
+if TYPE_CHECKING:
+    from ._functions import TypeCheckFailCallback
+
+T = TypeVar("T")
+
+
+class ForwardRefPolicy(Enum):
+    """
+    Defines how unresolved forward references are handled.
+
+    Members:
+
+    * ``ERROR``: propagate the :exc:`NameError` when the forward reference lookup fails
+    * ``WARN``: emit a :class:`~.TypeHintWarning` if the forward reference lookup fails
+    * ``IGNORE``: silently skip checks for unresolveable forward references
+    """
+
+    ERROR = auto()
+    WARN = auto()
+    IGNORE = auto()
+
+
+class CollectionCheckStrategy(Enum):
+    """
+    Specifies how thoroughly the contents of collections are type checked.
+
+    This has an effect on the following built-in checkers:
+
+    * ``AbstractSet``
+    * ``Dict``
+    * ``List``
+    * ``Mapping``
+    * ``Set``
+    * ``Tuple[, ...]`` (arbitrarily sized tuples)
+
+    Members:
+
+    * ``FIRST_ITEM``: check only the first item
+    * ``ALL_ITEMS``: check all items
+    """
+
+    FIRST_ITEM = auto()
+    ALL_ITEMS = auto()
+
+    def iterate_samples(self, collection: Iterable[T]) -> Iterable[T]:
+        if self is CollectionCheckStrategy.FIRST_ITEM:
+            try:
+                return [next(iter(collection))]
+            except StopIteration:
+                return ()
+        else:
+            return collection
+
+
+@dataclass
+class TypeCheckConfiguration:
+    """
+     You can change Typeguard's behavior with these settings.
+
+    .. attribute:: typecheck_fail_callback
+       :type: Callable[[TypeCheckError, TypeCheckMemo], Any]
+
+         Callable that is called when type checking fails.
+
+         Default: ``None`` (the :exc:`~.TypeCheckError` is raised directly)
+
+    .. attribute:: forward_ref_policy
+       :type: ForwardRefPolicy
+
+         Specifies what to do when a forward reference fails to resolve.
+
+         Default: ``WARN``
+
+    .. attribute:: collection_check_strategy
+       :type: CollectionCheckStrategy
+
+         Specifies how thoroughly the contents of collections (list, dict, etc.) are
+         type checked.
+
+         Default: ``FIRST_ITEM``
+
+    .. attribute:: debug_instrumentation
+       :type: bool
+
+         If set to ``True``, the code of modules or functions instrumented by typeguard
+         is printed to ``sys.stderr`` after the instrumentation is done
+
+         Requires Python 3.9 or newer.
+
+         Default: ``False``
+    """
+
+    forward_ref_policy: ForwardRefPolicy = ForwardRefPolicy.WARN
+    typecheck_fail_callback: TypeCheckFailCallback | None = None
+    collection_check_strategy: CollectionCheckStrategy = (
+        CollectionCheckStrategy.FIRST_ITEM
+    )
+    debug_instrumentation: bool = False
+
+
+global_config = TypeCheckConfiguration()
diff --git a/metaflow/_vendor/typeguard/_decorators.py b/metaflow/_vendor/typeguard/_decorators.py
new file mode 100644
index 00000000000..af6f82beec7
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_decorators.py
@@ -0,0 +1,233 @@
+from __future__ import annotations
+
+import ast
+import inspect
+import sys
+from collections.abc import Sequence
+from functools import partial
+from inspect import isclass, isfunction
+from types import CodeType, FrameType, FunctionType
+from typing import TYPE_CHECKING, Any, Callable, ForwardRef, TypeVar, cast, overload
+from warnings import warn
+
+from ._config import CollectionCheckStrategy, ForwardRefPolicy, global_config
+from ._exceptions import InstrumentationWarning
+from ._functions import TypeCheckFailCallback
+from ._transformer import TypeguardTransformer
+from ._utils import Unset, function_name, get_stacklevel, is_method_of, unset
+
+T_CallableOrType = TypeVar("T_CallableOrType", bound=Callable[..., Any])
+
+if TYPE_CHECKING:
+    from typeshed.stdlib.types import _Cell
+
+    def typeguard_ignore(f: T_CallableOrType) -> T_CallableOrType:
+        """This decorator is a noop during static type-checking."""
+        return f
+
+else:
+    from typing import no_type_check as typeguard_ignore  # noqa: F401
+
+
+def make_cell(value: object) -> _Cell:
+    return (lambda: value).__closure__[0]  # type: ignore[index]
+
+
+def find_target_function(
+    new_code: CodeType, target_path: Sequence[str], firstlineno: int
+) -> CodeType | None:
+    target_name = target_path[0]
+    for const in new_code.co_consts:
+        if isinstance(const, CodeType):
+            if const.co_name == target_name:
+                if const.co_firstlineno == firstlineno:
+                    return const
+                elif len(target_path) > 1:
+                    target_code = find_target_function(
+                        const, target_path[1:], firstlineno
+                    )
+                    if target_code:
+                        return target_code
+
+    return None
+
+
+def instrument(f: T_CallableOrType) -> FunctionType | str:
+    if not getattr(f, "__code__", None):
+        return "no code associated"
+    elif not getattr(f, "__module__", None):
+        return "__module__ attribute is not set"
+    elif f.__code__.co_filename == "":
+        return "cannot instrument functions defined in a REPL"
+    elif hasattr(f, "__wrapped__"):
+        return (
+            "@typechecked only supports instrumenting functions wrapped with "
+            "@classmethod, @staticmethod or @property"
+        )
+
+    target_path = [item for item in f.__qualname__.split(".") if item != ""]
+    module_source = inspect.getsource(sys.modules[f.__module__])
+    module_ast = ast.parse(module_source)
+    instrumentor = TypeguardTransformer(target_path, f.__code__.co_firstlineno)
+    instrumentor.visit(module_ast)
+
+    if not instrumentor.target_node or instrumentor.target_lineno is None:
+        return "instrumentor did not find the target function"
+
+    module_code = compile(module_ast, f.__code__.co_filename, "exec", dont_inherit=True)
+    new_code = find_target_function(
+        module_code, target_path, instrumentor.target_lineno
+    )
+    if not new_code:
+        return "cannot find the target function in the AST"
+
+    if global_config.debug_instrumentation and sys.version_info >= (3, 9):
+        # Find the matching AST node, then unparse it to source and print to stdout
+        print(
+            f"Source code of {f.__qualname__}() after instrumentation:"
+            "\n----------------------------------------------",
+            file=sys.stderr,
+        )
+        print(ast.unparse(instrumentor.target_node), file=sys.stderr)
+        print(
+            "----------------------------------------------",
+            file=sys.stderr,
+        )
+
+    closure = f.__closure__
+    if new_code.co_freevars != f.__code__.co_freevars:
+        # Create a new closure and find values for the new free variables
+        frame = cast(FrameType, inspect.currentframe())
+        frame = cast(FrameType, frame.f_back)
+        frame_locals = cast(FrameType, frame.f_back).f_locals
+        cells: list[_Cell] = []
+        for key in new_code.co_freevars:
+            if key in instrumentor.names_used_in_annotations:
+                # Find the value and make a new cell from it
+                value = frame_locals.get(key) or ForwardRef(key)
+                cells.append(make_cell(value))
+            else:
+                # Reuse the cell from the existing closure
+                assert f.__closure__
+                cells.append(f.__closure__[f.__code__.co_freevars.index(key)])
+
+        closure = tuple(cells)
+
+    new_function = FunctionType(new_code, f.__globals__, f.__name__, closure=closure)
+    new_function.__module__ = f.__module__
+    new_function.__name__ = f.__name__
+    new_function.__qualname__ = f.__qualname__
+    new_function.__annotations__ = f.__annotations__
+    new_function.__doc__ = f.__doc__
+    new_function.__defaults__ = f.__defaults__
+    new_function.__kwdefaults__ = f.__kwdefaults__
+    return new_function
+
+
+@overload
+def typechecked(
+    *,
+    forward_ref_policy: ForwardRefPolicy | Unset = unset,
+    typecheck_fail_callback: TypeCheckFailCallback | Unset = unset,
+    collection_check_strategy: CollectionCheckStrategy | Unset = unset,
+    debug_instrumentation: bool | Unset = unset,
+) -> Callable[[T_CallableOrType], T_CallableOrType]: ...
+
+
+@overload
+def typechecked(target: T_CallableOrType) -> T_CallableOrType: ...
+
+
+def typechecked(
+    target: T_CallableOrType | None = None,
+    *,
+    forward_ref_policy: ForwardRefPolicy | Unset = unset,
+    typecheck_fail_callback: TypeCheckFailCallback | Unset = unset,
+    collection_check_strategy: CollectionCheckStrategy | Unset = unset,
+    debug_instrumentation: bool | Unset = unset,
+) -> Any:
+    """
+    Instrument the target function to perform run-time type checking.
+
+    This decorator recompiles the target function, injecting code to type check
+    arguments, return values, yield values (excluding ``yield from``) and assignments to
+    annotated local variables.
+
+    This can also be used as a class decorator. This will instrument all type annotated
+    methods, including :func:`@classmethod `,
+    :func:`@staticmethod `,  and :class:`@property ` decorated
+    methods in the class.
+
+    .. note:: When Python is run in optimized mode (``-O`` or ``-OO``, this decorator
+        is a no-op). This is a feature meant for selectively introducing type checking
+        into a code base where the checks aren't meant to be run in production.
+
+    :param target: the function or class to enable type checking for
+    :param forward_ref_policy: override for
+        :attr:`.TypeCheckConfiguration.forward_ref_policy`
+    :param typecheck_fail_callback: override for
+        :attr:`.TypeCheckConfiguration.typecheck_fail_callback`
+    :param collection_check_strategy: override for
+        :attr:`.TypeCheckConfiguration.collection_check_strategy`
+    :param debug_instrumentation: override for
+        :attr:`.TypeCheckConfiguration.debug_instrumentation`
+
+    """
+    if target is None:
+        return partial(
+            typechecked,
+            forward_ref_policy=forward_ref_policy,
+            typecheck_fail_callback=typecheck_fail_callback,
+            collection_check_strategy=collection_check_strategy,
+            debug_instrumentation=debug_instrumentation,
+        )
+
+    if not __debug__:
+        return target
+
+    if isclass(target):
+        for key, attr in target.__dict__.items():
+            if is_method_of(attr, target):
+                retval = instrument(attr)
+                if isfunction(retval):
+                    setattr(target, key, retval)
+            elif isinstance(attr, (classmethod, staticmethod)):
+                if is_method_of(attr.__func__, target):
+                    retval = instrument(attr.__func__)
+                    if isfunction(retval):
+                        wrapper = attr.__class__(retval)
+                        setattr(target, key, wrapper)
+            elif isinstance(attr, property):
+                kwargs: dict[str, Any] = dict(doc=attr.__doc__)
+                for name in ("fset", "fget", "fdel"):
+                    property_func = kwargs[name] = getattr(attr, name)
+                    if is_method_of(property_func, target):
+                        retval = instrument(property_func)
+                        if isfunction(retval):
+                            kwargs[name] = retval
+
+                setattr(target, key, attr.__class__(**kwargs))
+
+        return target
+
+    # Find either the first Python wrapper or the actual function
+    wrapper_class: (
+        type[classmethod[Any, Any, Any]] | type[staticmethod[Any, Any]] | None
+    ) = None
+    if isinstance(target, (classmethod, staticmethod)):
+        wrapper_class = target.__class__
+        target = target.__func__
+
+    retval = instrument(target)
+    if isinstance(retval, str):
+        warn(
+            f"{retval} -- not typechecking {function_name(target)}",
+            InstrumentationWarning,
+            stacklevel=get_stacklevel(),
+        )
+        return target
+
+    if wrapper_class is None:
+        return retval
+    else:
+        return wrapper_class(retval)
diff --git a/metaflow/_vendor/typeguard/_exceptions.py b/metaflow/_vendor/typeguard/_exceptions.py
new file mode 100644
index 00000000000..625437a6499
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_exceptions.py
@@ -0,0 +1,42 @@
+from collections import deque
+from typing import Deque
+
+
+class TypeHintWarning(UserWarning):
+    """
+    A warning that is emitted when a type hint in string form could not be resolved to
+    an actual type.
+    """
+
+
+class TypeCheckWarning(UserWarning):
+    """Emitted by typeguard's type checkers when a type mismatch is detected."""
+
+    def __init__(self, message: str):
+        super().__init__(message)
+
+
+class InstrumentationWarning(UserWarning):
+    """Emitted when there's a problem with instrumenting a function for type checks."""
+
+    def __init__(self, message: str):
+        super().__init__(message)
+
+
+class TypeCheckError(Exception):
+    """
+    Raised by typeguard's type checkers when a type mismatch is detected.
+    """
+
+    def __init__(self, message: str):
+        super().__init__(message)
+        self._path: Deque[str] = deque()
+
+    def append_path_element(self, element: str) -> None:
+        self._path.append(element)
+
+    def __str__(self) -> str:
+        if self._path:
+            return " of ".join(self._path) + " " + str(self.args[0])
+        else:
+            return str(self.args[0])
diff --git a/metaflow/_vendor/typeguard/_functions.py b/metaflow/_vendor/typeguard/_functions.py
new file mode 100644
index 00000000000..d8a2339a5d7
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_functions.py
@@ -0,0 +1,308 @@
+from __future__ import annotations
+
+import sys
+import warnings
+from typing import Any, Callable, NoReturn, TypeVar, Union, overload
+
+from . import _suppression
+from ._checkers import BINARY_MAGIC_METHODS, check_type_internal
+from ._config import (
+    CollectionCheckStrategy,
+    ForwardRefPolicy,
+    TypeCheckConfiguration,
+)
+from ._exceptions import TypeCheckError, TypeCheckWarning
+from ._memo import TypeCheckMemo
+from ._utils import get_stacklevel, qualified_name
+
+if sys.version_info >= (3, 11):
+    from typing import Literal, Never, TypeAlias
+else:
+    from metaflow._vendor.typing_extensions import Literal, Never, TypeAlias
+
+T = TypeVar("T")
+TypeCheckFailCallback: TypeAlias = Callable[[TypeCheckError, TypeCheckMemo], Any]
+
+
+@overload
+def check_type(
+    value: object,
+    expected_type: type[T],
+    *,
+    forward_ref_policy: ForwardRefPolicy = ...,
+    typecheck_fail_callback: TypeCheckFailCallback | None = ...,
+    collection_check_strategy: CollectionCheckStrategy = ...,
+) -> T: ...
+
+
+@overload
+def check_type(
+    value: object,
+    expected_type: Any,
+    *,
+    forward_ref_policy: ForwardRefPolicy = ...,
+    typecheck_fail_callback: TypeCheckFailCallback | None = ...,
+    collection_check_strategy: CollectionCheckStrategy = ...,
+) -> Any: ...
+
+
+def check_type(
+    value: object,
+    expected_type: Any,
+    *,
+    forward_ref_policy: ForwardRefPolicy = TypeCheckConfiguration().forward_ref_policy,
+    typecheck_fail_callback: TypeCheckFailCallback | None = (
+        TypeCheckConfiguration().typecheck_fail_callback
+    ),
+    collection_check_strategy: CollectionCheckStrategy = (
+        TypeCheckConfiguration().collection_check_strategy
+    ),
+) -> Any:
+    """
+    Ensure that ``value`` matches ``expected_type``.
+
+    The types from the :mod:`typing` module do not support :func:`isinstance` or
+    :func:`issubclass` so a number of type specific checks are required. This function
+    knows which checker to call for which type.
+
+    This function wraps :func:`~.check_type_internal` in the following ways:
+
+    * Respects type checking suppression (:func:`~.suppress_type_checks`)
+    * Forms a :class:`~.TypeCheckMemo` from the current stack frame
+    * Calls the configured type check fail callback if the check fails
+
+    Note that this function is independent of the globally shared configuration in
+    :data:`typeguard.config`. This means that usage within libraries is safe from being
+    affected configuration changes made by other libraries or by the integrating
+    application. Instead, configuration options have the same default values as their
+    corresponding fields in :class:`TypeCheckConfiguration`.
+
+    :param value: value to be checked against ``expected_type``
+    :param expected_type: a class or generic type instance, or a tuple of such things
+    :param forward_ref_policy: see :attr:`TypeCheckConfiguration.forward_ref_policy`
+    :param typecheck_fail_callback:
+        see :attr`TypeCheckConfiguration.typecheck_fail_callback`
+    :param collection_check_strategy:
+        see :attr:`TypeCheckConfiguration.collection_check_strategy`
+    :return: ``value``, unmodified
+    :raises TypeCheckError: if there is a type mismatch
+
+    """
+    if type(expected_type) is tuple:
+        expected_type = Union[expected_type]
+
+    config = TypeCheckConfiguration(
+        forward_ref_policy=forward_ref_policy,
+        typecheck_fail_callback=typecheck_fail_callback,
+        collection_check_strategy=collection_check_strategy,
+    )
+
+    if _suppression.type_checks_suppressed or expected_type is Any:
+        return value
+
+    frame = sys._getframe(1)
+    memo = TypeCheckMemo(frame.f_globals, frame.f_locals, config=config)
+    try:
+        check_type_internal(value, expected_type, memo)
+    except TypeCheckError as exc:
+        exc.append_path_element(qualified_name(value, add_class_prefix=True))
+        if config.typecheck_fail_callback:
+            config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return value
+
+
+def check_argument_types(
+    func_name: str,
+    arguments: dict[str, tuple[Any, Any]],
+    memo: TypeCheckMemo,
+) -> Literal[True]:
+    if _suppression.type_checks_suppressed:
+        return True
+
+    for argname, (value, annotation) in arguments.items():
+        if annotation is NoReturn or annotation is Never:
+            exc = TypeCheckError(
+                f"{func_name}() was declared never to be called but it was"
+            )
+            if memo.config.typecheck_fail_callback:
+                memo.config.typecheck_fail_callback(exc, memo)
+            else:
+                raise exc
+
+        try:
+            check_type_internal(value, annotation, memo)
+        except TypeCheckError as exc:
+            qualname = qualified_name(value, add_class_prefix=True)
+            exc.append_path_element(f'argument "{argname}" ({qualname})')
+            if memo.config.typecheck_fail_callback:
+                memo.config.typecheck_fail_callback(exc, memo)
+            else:
+                raise
+
+    return True
+
+
+def check_return_type(
+    func_name: str,
+    retval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return retval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(f"{func_name}() was declared never to return but it did")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(retval, annotation, memo)
+    except TypeCheckError as exc:
+        # Allow NotImplemented if this is a binary magic method (__eq__() et al)
+        if retval is NotImplemented and annotation is bool:
+            # This does (and cannot) not check if it's actually a method
+            func_name = func_name.rsplit(".", 1)[-1]
+            if func_name in BINARY_MAGIC_METHODS:
+                return retval
+
+        qualname = qualified_name(retval, add_class_prefix=True)
+        exc.append_path_element(f"the return value ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return retval
+
+
+def check_send_type(
+    func_name: str,
+    sendval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return sendval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(
+            f"{func_name}() was declared never to be sent a value to but it was"
+        )
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(sendval, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(sendval, add_class_prefix=True)
+        exc.append_path_element(f"the value sent to generator ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return sendval
+
+
+def check_yield_type(
+    func_name: str,
+    yieldval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return yieldval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(f"{func_name}() was declared never to yield but it did")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(yieldval, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(yieldval, add_class_prefix=True)
+        exc.append_path_element(f"the yielded value ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return yieldval
+
+
+def check_variable_assignment(
+    value: object, varname: str, annotation: Any, memo: TypeCheckMemo
+) -> Any:
+    if _suppression.type_checks_suppressed:
+        return value
+
+    try:
+        check_type_internal(value, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(value, add_class_prefix=True)
+        exc.append_path_element(f"value assigned to {varname} ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return value
+
+
+def check_multi_variable_assignment(
+    value: Any, targets: list[dict[str, Any]], memo: TypeCheckMemo
+) -> Any:
+    if max(len(target) for target in targets) == 1:
+        iterated_values = [value]
+    else:
+        iterated_values = list(value)
+
+    if not _suppression.type_checks_suppressed:
+        for expected_types in targets:
+            value_index = 0
+            for ann_index, (varname, expected_type) in enumerate(
+                expected_types.items()
+            ):
+                if varname.startswith("*"):
+                    varname = varname[1:]
+                    keys_left = len(expected_types) - 1 - ann_index
+                    next_value_index = len(iterated_values) - keys_left
+                    obj: object = iterated_values[value_index:next_value_index]
+                    value_index = next_value_index
+                else:
+                    obj = iterated_values[value_index]
+                    value_index += 1
+
+                try:
+                    check_type_internal(obj, expected_type, memo)
+                except TypeCheckError as exc:
+                    qualname = qualified_name(obj, add_class_prefix=True)
+                    exc.append_path_element(f"value assigned to {varname} ({qualname})")
+                    if memo.config.typecheck_fail_callback:
+                        memo.config.typecheck_fail_callback(exc, memo)
+                    else:
+                        raise
+
+    return iterated_values[0] if len(iterated_values) == 1 else iterated_values
+
+
+def warn_on_error(exc: TypeCheckError, memo: TypeCheckMemo) -> None:
+    """
+    Emit a warning on a type mismatch.
+
+    This is intended to be used as an error handler in
+    :attr:`TypeCheckConfiguration.typecheck_fail_callback`.
+
+    """
+    warnings.warn(TypeCheckWarning(str(exc)), stacklevel=get_stacklevel())
diff --git a/metaflow/_vendor/typeguard/_importhook.py b/metaflow/_vendor/typeguard/_importhook.py
new file mode 100644
index 00000000000..11342951737
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_importhook.py
@@ -0,0 +1,213 @@
+from __future__ import annotations
+
+import ast
+import sys
+import types
+from collections.abc import Callable, Iterable
+from importlib.abc import MetaPathFinder
+from importlib.machinery import ModuleSpec, SourceFileLoader
+from importlib.util import cache_from_source, decode_source
+from inspect import isclass
+from os import PathLike
+from types import CodeType, ModuleType, TracebackType
+from typing import Sequence, TypeVar
+from unittest.mock import patch
+
+from ._config import global_config
+from ._transformer import TypeguardTransformer
+
+if sys.version_info >= (3, 12):
+    from collections.abc import Buffer
+else:
+    from metaflow._vendor.typing_extensions import Buffer
+
+if sys.version_info >= (3, 11):
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.typing_extensions import ParamSpec
+
+if sys.version_info >= (3, 10):
+    from importlib.metadata import PackageNotFoundError, version
+else:
+    from metaflow._vendor.importlib_metadata import PackageNotFoundError, version
+
+try:
+    OPTIMIZATION = "typeguard" + "".join(version("typeguard").split(".")[:3])
+except PackageNotFoundError:
+    OPTIMIZATION = "typeguard"
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+# The name of this function is magical
+def _call_with_frames_removed(
+    f: Callable[P, T], *args: P.args, **kwargs: P.kwargs
+) -> T:
+    return f(*args, **kwargs)
+
+
+def optimized_cache_from_source(path: str, debug_override: bool | None = None) -> str:
+    return cache_from_source(path, debug_override, optimization=OPTIMIZATION)
+
+
+class TypeguardLoader(SourceFileLoader):
+    @staticmethod
+    def source_to_code(
+        data: Buffer | str | ast.Module | ast.Expression | ast.Interactive,
+        path: Buffer | str | PathLike[str] = "",
+    ) -> CodeType:
+        if isinstance(data, (ast.Module, ast.Expression, ast.Interactive)):
+            tree = data
+        else:
+            if isinstance(data, str):
+                source = data
+            else:
+                source = decode_source(data)
+
+            tree = _call_with_frames_removed(
+                ast.parse,
+                source,
+                path,
+                "exec",
+            )
+
+        tree = TypeguardTransformer().visit(tree)
+        ast.fix_missing_locations(tree)
+
+        if global_config.debug_instrumentation and sys.version_info >= (3, 9):
+            print(
+                f"Source code of {path!r} after instrumentation:\n"
+                "----------------------------------------------",
+                file=sys.stderr,
+            )
+            print(ast.unparse(tree), file=sys.stderr)
+            print("----------------------------------------------", file=sys.stderr)
+
+        return _call_with_frames_removed(
+            compile, tree, path, "exec", 0, dont_inherit=True
+        )
+
+    def exec_module(self, module: ModuleType) -> None:
+        # Use a custom optimization marker – the import lock should make this monkey
+        # patch safe
+        with patch(
+            "importlib._bootstrap_external.cache_from_source",
+            optimized_cache_from_source,
+        ):
+            super().exec_module(module)
+
+
+class TypeguardFinder(MetaPathFinder):
+    """
+    Wraps another path finder and instruments the module with
+    :func:`@typechecked ` if :meth:`should_instrument` returns
+    ``True``.
+
+    Should not be used directly, but rather via :func:`~.install_import_hook`.
+
+    .. versionadded:: 2.6
+    """
+
+    def __init__(self, packages: list[str] | None, original_pathfinder: MetaPathFinder):
+        self.packages = packages
+        self._original_pathfinder = original_pathfinder
+
+    def find_spec(
+        self,
+        fullname: str,
+        path: Sequence[str] | None,
+        target: types.ModuleType | None = None,
+    ) -> ModuleSpec | None:
+        if self.should_instrument(fullname):
+            spec = self._original_pathfinder.find_spec(fullname, path, target)
+            if spec is not None and isinstance(spec.loader, SourceFileLoader):
+                spec.loader = TypeguardLoader(spec.loader.name, spec.loader.path)
+                return spec
+
+        return None
+
+    def should_instrument(self, module_name: str) -> bool:
+        """
+        Determine whether the module with the given name should be instrumented.
+
+        :param module_name: full name of the module that is about to be imported (e.g.
+            ``xyz.abc``)
+
+        """
+        if self.packages is None:
+            return True
+
+        for package in self.packages:
+            if module_name == package or module_name.startswith(package + "."):
+                return True
+
+        return False
+
+
+class ImportHookManager:
+    """
+    A handle that can be used to uninstall the Typeguard import hook.
+    """
+
+    def __init__(self, hook: MetaPathFinder):
+        self.hook = hook
+
+    def __enter__(self) -> None:
+        pass
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException],
+        exc_val: BaseException,
+        exc_tb: TracebackType,
+    ) -> None:
+        self.uninstall()
+
+    def uninstall(self) -> None:
+        """Uninstall the import hook."""
+        try:
+            sys.meta_path.remove(self.hook)
+        except ValueError:
+            pass  # already removed
+
+
+def install_import_hook(
+    packages: Iterable[str] | None = None,
+    *,
+    cls: type[TypeguardFinder] = TypeguardFinder,
+) -> ImportHookManager:
+    """
+    Install an import hook that instruments functions for automatic type checking.
+
+    This only affects modules loaded **after** this hook has been installed.
+
+    :param packages: an iterable of package names to instrument, or ``None`` to
+        instrument all packages
+    :param cls: a custom meta path finder class
+    :return: a context manager that uninstalls the hook on exit (or when you call
+        ``.uninstall()``)
+
+    .. versionadded:: 2.6
+
+    """
+    if packages is None:
+        target_packages: list[str] | None = None
+    elif isinstance(packages, str):
+        target_packages = [packages]
+    else:
+        target_packages = list(packages)
+
+    for finder in sys.meta_path:
+        if (
+            isclass(finder)
+            and finder.__name__ == "PathFinder"
+            and hasattr(finder, "find_spec")
+        ):
+            break
+    else:
+        raise RuntimeError("Cannot find a PathFinder in sys.meta_path")
+
+    hook = cls(target_packages, finder)
+    sys.meta_path.insert(0, hook)
+    return ImportHookManager(hook)
diff --git a/metaflow/_vendor/typeguard/_memo.py b/metaflow/_vendor/typeguard/_memo.py
new file mode 100644
index 00000000000..988a27122a9
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_memo.py
@@ -0,0 +1,48 @@
+from __future__ import annotations
+
+from typing import Any
+
+from metaflow._vendor.typeguard._config import TypeCheckConfiguration, global_config
+
+
+class TypeCheckMemo:
+    """
+    Contains information necessary for type checkers to do their work.
+
+    .. attribute:: globals
+       :type: dict[str, Any]
+
+        Dictionary of global variables to use for resolving forward references.
+
+    .. attribute:: locals
+       :type: dict[str, Any]
+
+        Dictionary of local variables to use for resolving forward references.
+
+    .. attribute:: self_type
+       :type: type | None
+
+        When running type checks within an instance method or class method, this is the
+        class object that the first argument (usually named ``self`` or ``cls``) refers
+        to.
+
+    .. attribute:: config
+       :type: TypeCheckConfiguration
+
+         Contains the configuration for a particular set of type checking operations.
+    """
+
+    __slots__ = "globals", "locals", "self_type", "config"
+
+    def __init__(
+        self,
+        globals: dict[str, Any],
+        locals: dict[str, Any],
+        *,
+        self_type: type | None = None,
+        config: TypeCheckConfiguration = global_config,
+    ):
+        self.globals = globals
+        self.locals = locals
+        self.self_type = self_type
+        self.config = config
diff --git a/metaflow/_vendor/typeguard/_pytest_plugin.py b/metaflow/_vendor/typeguard/_pytest_plugin.py
new file mode 100644
index 00000000000..5272be04366
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_pytest_plugin.py
@@ -0,0 +1,127 @@
+from __future__ import annotations
+
+import sys
+import warnings
+from typing import TYPE_CHECKING, Any, Literal
+
+from metaflow._vendor.typeguard._config import CollectionCheckStrategy, ForwardRefPolicy, global_config
+from metaflow._vendor.typeguard._exceptions import InstrumentationWarning
+from metaflow._vendor.typeguard._importhook import install_import_hook
+from metaflow._vendor.typeguard._utils import qualified_name, resolve_reference
+
+if TYPE_CHECKING:
+    from pytest import Config, Parser
+
+
+def pytest_addoption(parser: Parser) -> None:
+    def add_ini_option(
+        opt_type: (
+            Literal["string", "paths", "pathlist", "args", "linelist", "bool"] | None
+        ),
+    ) -> None:
+        parser.addini(
+            group.options[-1].names()[0][2:],
+            group.options[-1].attrs()["help"],
+            opt_type,
+        )
+
+    group = parser.getgroup("typeguard")
+    group.addoption(
+        "--typeguard-packages",
+        action="store",
+        help="comma separated name list of packages and modules to instrument for "
+        "type checking, or :all: to instrument all modules loaded after typeguard",
+    )
+    add_ini_option("linelist")
+
+    group.addoption(
+        "--typeguard-debug-instrumentation",
+        action="store_true",
+        help="print all instrumented code to stderr",
+    )
+    add_ini_option("bool")
+
+    group.addoption(
+        "--typeguard-typecheck-fail-callback",
+        action="store",
+        help=(
+            "a module:varname (e.g. typeguard:warn_on_error) reference to a function "
+            "that is called (with the exception, and memo object as arguments) to "
+            "handle a TypeCheckError"
+        ),
+    )
+    add_ini_option("string")
+
+    group.addoption(
+        "--typeguard-forward-ref-policy",
+        action="store",
+        choices=list(ForwardRefPolicy.__members__),
+        help=(
+            "determines how to deal with unresolveable forward references in type "
+            "annotations"
+        ),
+    )
+    add_ini_option("string")
+
+    group.addoption(
+        "--typeguard-collection-check-strategy",
+        action="store",
+        choices=list(CollectionCheckStrategy.__members__),
+        help="determines how thoroughly to check collections (list, dict, etc)",
+    )
+    add_ini_option("string")
+
+
+def pytest_configure(config: Config) -> None:
+    def getoption(name: str) -> Any:
+        return config.getoption(name.replace("-", "_")) or config.getini(name)
+
+    packages: list[str] | None = []
+    if packages_option := config.getoption("typeguard_packages"):
+        packages = [pkg.strip() for pkg in packages_option.split(",")]
+    elif packages_ini := config.getini("typeguard-packages"):
+        packages = packages_ini
+
+    if packages:
+        if packages == [":all:"]:
+            packages = None
+        else:
+            already_imported_packages = sorted(
+                package for package in packages if package in sys.modules
+            )
+            if already_imported_packages:
+                warnings.warn(
+                    f"typeguard cannot check these packages because they are already "
+                    f"imported: {', '.join(already_imported_packages)}",
+                    InstrumentationWarning,
+                    stacklevel=1,
+                )
+
+        install_import_hook(packages=packages)
+
+    debug_option = getoption("typeguard-debug-instrumentation")
+    if debug_option:
+        global_config.debug_instrumentation = True
+
+    fail_callback_option = getoption("typeguard-typecheck-fail-callback")
+    if fail_callback_option:
+        callback = resolve_reference(fail_callback_option)
+        if not callable(callback):
+            raise TypeError(
+                f"{fail_callback_option} ({qualified_name(callback.__class__)}) is not "
+                f"a callable"
+            )
+
+        global_config.typecheck_fail_callback = callback
+
+    forward_ref_policy_option = getoption("typeguard-forward-ref-policy")
+    if forward_ref_policy_option:
+        forward_ref_policy = ForwardRefPolicy.__members__[forward_ref_policy_option]
+        global_config.forward_ref_policy = forward_ref_policy
+
+    collection_check_strategy_option = getoption("typeguard-collection-check-strategy")
+    if collection_check_strategy_option:
+        collection_check_strategy = CollectionCheckStrategy.__members__[
+            collection_check_strategy_option
+        ]
+        global_config.collection_check_strategy = collection_check_strategy
diff --git a/metaflow/_vendor/typeguard/_suppression.py b/metaflow/_vendor/typeguard/_suppression.py
new file mode 100644
index 00000000000..a8866020c3e
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_suppression.py
@@ -0,0 +1,86 @@
+from __future__ import annotations
+
+import sys
+from collections.abc import Callable, Generator
+from contextlib import contextmanager
+from functools import update_wrapper
+from threading import Lock
+from typing import ContextManager, TypeVar, overload
+
+if sys.version_info >= (3, 10):
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.typing_extensions import ParamSpec
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+type_checks_suppressed = 0
+type_checks_suppress_lock = Lock()
+
+
+@overload
+def suppress_type_checks(func: Callable[P, T]) -> Callable[P, T]: ...
+
+
+@overload
+def suppress_type_checks() -> ContextManager[None]: ...
+
+
+def suppress_type_checks(
+    func: Callable[P, T] | None = None,
+) -> Callable[P, T] | ContextManager[None]:
+    """
+    Temporarily suppress all type checking.
+
+    This function has two operating modes, based on how it's used:
+
+    #. as a context manager (``with suppress_type_checks(): ...``)
+    #. as a decorator (``@suppress_type_checks``)
+
+    When used as a context manager, :func:`check_type` and any automatically
+    instrumented functions skip the actual type checking. These context managers can be
+    nested.
+
+    When used as a decorator, all type checking is suppressed while the function is
+    running.
+
+    Type checking will resume once no more context managers are active and no decorated
+    functions are running.
+
+    Both operating modes are thread-safe.
+
+    """
+
+    def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+        global type_checks_suppressed
+
+        with type_checks_suppress_lock:
+            type_checks_suppressed += 1
+
+        assert func is not None
+        try:
+            return func(*args, **kwargs)
+        finally:
+            with type_checks_suppress_lock:
+                type_checks_suppressed -= 1
+
+    def cm() -> Generator[None, None, None]:
+        global type_checks_suppressed
+
+        with type_checks_suppress_lock:
+            type_checks_suppressed += 1
+
+        try:
+            yield
+        finally:
+            with type_checks_suppress_lock:
+                type_checks_suppressed -= 1
+
+    if func is None:
+        # Context manager mode
+        return contextmanager(cm)()
+    else:
+        # Decorator mode
+        update_wrapper(wrapper, func)
+        return wrapper
diff --git a/metaflow/_vendor/typeguard/_transformer.py b/metaflow/_vendor/typeguard/_transformer.py
new file mode 100644
index 00000000000..13ac3630e6c
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_transformer.py
@@ -0,0 +1,1229 @@
+from __future__ import annotations
+
+import ast
+import builtins
+import sys
+import typing
+from ast import (
+    AST,
+    Add,
+    AnnAssign,
+    Assign,
+    AsyncFunctionDef,
+    Attribute,
+    AugAssign,
+    BinOp,
+    BitAnd,
+    BitOr,
+    BitXor,
+    Call,
+    ClassDef,
+    Constant,
+    Dict,
+    Div,
+    Expr,
+    Expression,
+    FloorDiv,
+    FunctionDef,
+    If,
+    Import,
+    ImportFrom,
+    Index,
+    List,
+    Load,
+    LShift,
+    MatMult,
+    Mod,
+    Module,
+    Mult,
+    Name,
+    NamedExpr,
+    NodeTransformer,
+    NodeVisitor,
+    Pass,
+    Pow,
+    Return,
+    RShift,
+    Starred,
+    Store,
+    Sub,
+    Subscript,
+    Tuple,
+    Yield,
+    YieldFrom,
+    alias,
+    copy_location,
+    expr,
+    fix_missing_locations,
+    keyword,
+    walk,
+)
+from collections import defaultdict
+from collections.abc import Generator, Sequence
+from contextlib import contextmanager
+from copy import deepcopy
+from dataclasses import dataclass, field
+from typing import Any, ClassVar, cast, overload
+
+generator_names = (
+    "typing.Generator",
+    "collections.abc.Generator",
+    "typing.Iterator",
+    "collections.abc.Iterator",
+    "typing.Iterable",
+    "collections.abc.Iterable",
+    "typing.AsyncIterator",
+    "collections.abc.AsyncIterator",
+    "typing.AsyncIterable",
+    "collections.abc.AsyncIterable",
+    "typing.AsyncGenerator",
+    "collections.abc.AsyncGenerator",
+)
+anytype_names = (
+    "typing.Any",
+    "typing_extensions.Any",
+)
+literal_names = (
+    "typing.Literal",
+    "typing_extensions.Literal",
+)
+annotated_names = (
+    "typing.Annotated",
+    "typing_extensions.Annotated",
+)
+ignore_decorators = (
+    "typing.no_type_check",
+    "typeguard.typeguard_ignore",
+)
+aug_assign_functions = {
+    Add: "iadd",
+    Sub: "isub",
+    Mult: "imul",
+    MatMult: "imatmul",
+    Div: "itruediv",
+    FloorDiv: "ifloordiv",
+    Mod: "imod",
+    Pow: "ipow",
+    LShift: "ilshift",
+    RShift: "irshift",
+    BitAnd: "iand",
+    BitXor: "ixor",
+    BitOr: "ior",
+}
+
+
+@dataclass
+class TransformMemo:
+    node: Module | ClassDef | FunctionDef | AsyncFunctionDef | None
+    parent: TransformMemo | None
+    path: tuple[str, ...]
+    joined_path: Constant = field(init=False)
+    return_annotation: expr | None = None
+    yield_annotation: expr | None = None
+    send_annotation: expr | None = None
+    is_async: bool = False
+    local_names: set[str] = field(init=False, default_factory=set)
+    imported_names: dict[str, str] = field(init=False, default_factory=dict)
+    ignored_names: set[str] = field(init=False, default_factory=set)
+    load_names: defaultdict[str, dict[str, Name]] = field(
+        init=False, default_factory=lambda: defaultdict(dict)
+    )
+    has_yield_expressions: bool = field(init=False, default=False)
+    has_return_expressions: bool = field(init=False, default=False)
+    memo_var_name: Name | None = field(init=False, default=None)
+    should_instrument: bool = field(init=False, default=True)
+    variable_annotations: dict[str, expr] = field(init=False, default_factory=dict)
+    configuration_overrides: dict[str, Any] = field(init=False, default_factory=dict)
+    code_inject_index: int = field(init=False, default=0)
+
+    def __post_init__(self) -> None:
+        elements: list[str] = []
+        memo = self
+        while isinstance(memo.node, (ClassDef, FunctionDef, AsyncFunctionDef)):
+            elements.insert(0, memo.node.name)
+            if not memo.parent:
+                break
+
+            memo = memo.parent
+            if isinstance(memo.node, (FunctionDef, AsyncFunctionDef)):
+                elements.insert(0, "")
+
+        self.joined_path = Constant(".".join(elements))
+
+        # Figure out where to insert instrumentation code
+        if self.node:
+            for index, child in enumerate(self.node.body):
+                if isinstance(child, ImportFrom) and child.module == "__future__":
+                    # (module only) __future__ imports must come first
+                    continue
+                elif (
+                    isinstance(child, Expr)
+                    and isinstance(child.value, Constant)
+                    and isinstance(child.value.value, str)
+                ):
+                    continue  # docstring
+
+                self.code_inject_index = index
+                break
+
+    def get_unused_name(self, name: str) -> str:
+        memo: TransformMemo | None = self
+        while memo is not None:
+            if name in memo.local_names:
+                memo = self
+                name += "_"
+            else:
+                memo = memo.parent
+
+        self.local_names.add(name)
+        return name
+
+    def is_ignored_name(self, expression: expr | Expr | None) -> bool:
+        top_expression = (
+            expression.value if isinstance(expression, Expr) else expression
+        )
+
+        if isinstance(top_expression, Attribute) and isinstance(
+            top_expression.value, Name
+        ):
+            name = top_expression.value.id
+        elif isinstance(top_expression, Name):
+            name = top_expression.id
+        else:
+            return False
+
+        memo: TransformMemo | None = self
+        while memo is not None:
+            if name in memo.ignored_names:
+                return True
+
+            memo = memo.parent
+
+        return False
+
+    def get_memo_name(self) -> Name:
+        if not self.memo_var_name:
+            self.memo_var_name = Name(id="memo", ctx=Load())
+
+        return self.memo_var_name
+
+    def get_import(self, module: str, name: str) -> Name:
+        if module in self.load_names and name in self.load_names[module]:
+            return self.load_names[module][name]
+
+        qualified_name = f"{module}.{name}"
+        if name in self.imported_names and self.imported_names[name] == qualified_name:
+            return Name(id=name, ctx=Load())
+
+        alias = self.get_unused_name(name)
+        node = self.load_names[module][name] = Name(id=alias, ctx=Load())
+        self.imported_names[name] = qualified_name
+        return node
+
+    def insert_imports(self, node: Module | FunctionDef | AsyncFunctionDef) -> None:
+        """Insert imports needed by injected code."""
+        if not self.load_names:
+            return
+
+        # Insert imports after any "from __future__ ..." imports and any docstring
+        for modulename, names in self.load_names.items():
+            aliases = [
+                alias(orig_name, new_name.id if orig_name != new_name.id else None)
+                for orig_name, new_name in sorted(names.items())
+            ]
+            node.body.insert(self.code_inject_index, ImportFrom(modulename, aliases, 0))
+
+    def name_matches(self, expression: expr | Expr | None, *names: str) -> bool:
+        if expression is None:
+            return False
+
+        path: list[str] = []
+        top_expression = (
+            expression.value if isinstance(expression, Expr) else expression
+        )
+
+        if isinstance(top_expression, Subscript):
+            top_expression = top_expression.value
+        elif isinstance(top_expression, Call):
+            top_expression = top_expression.func
+
+        while isinstance(top_expression, Attribute):
+            path.insert(0, top_expression.attr)
+            top_expression = top_expression.value
+
+        if not isinstance(top_expression, Name):
+            return False
+
+        if top_expression.id in self.imported_names:
+            translated = self.imported_names[top_expression.id]
+        elif hasattr(builtins, top_expression.id):
+            translated = "builtins." + top_expression.id
+        else:
+            translated = top_expression.id
+
+        path.insert(0, translated)
+        joined_path = ".".join(path)
+        if joined_path in names:
+            return True
+        elif self.parent:
+            return self.parent.name_matches(expression, *names)
+        else:
+            return False
+
+    def get_config_keywords(self) -> list[keyword]:
+        if self.parent and isinstance(self.parent.node, ClassDef):
+            overrides = self.parent.configuration_overrides.copy()
+        else:
+            overrides = {}
+
+        overrides.update(self.configuration_overrides)
+        return [keyword(key, value) for key, value in overrides.items()]
+
+
+class NameCollector(NodeVisitor):
+    def __init__(self) -> None:
+        self.names: set[str] = set()
+
+    def visit_Import(self, node: Import) -> None:
+        for name in node.names:
+            self.names.add(name.asname or name.name)
+
+    def visit_ImportFrom(self, node: ImportFrom) -> None:
+        for name in node.names:
+            self.names.add(name.asname or name.name)
+
+    def visit_Assign(self, node: Assign) -> None:
+        for target in node.targets:
+            if isinstance(target, Name):
+                self.names.add(target.id)
+
+    def visit_NamedExpr(self, node: NamedExpr) -> Any:
+        if isinstance(node.target, Name):
+            self.names.add(node.target.id)
+
+    def visit_FunctionDef(self, node: FunctionDef) -> None:
+        pass
+
+    def visit_ClassDef(self, node: ClassDef) -> None:
+        pass
+
+
+class GeneratorDetector(NodeVisitor):
+    """Detects if a function node is a generator function."""
+
+    contains_yields: bool = False
+    in_root_function: bool = False
+
+    def visit_Yield(self, node: Yield) -> Any:
+        self.contains_yields = True
+
+    def visit_YieldFrom(self, node: YieldFrom) -> Any:
+        self.contains_yields = True
+
+    def visit_ClassDef(self, node: ClassDef) -> Any:
+        pass
+
+    def visit_FunctionDef(self, node: FunctionDef | AsyncFunctionDef) -> Any:
+        if not self.in_root_function:
+            self.in_root_function = True
+            self.generic_visit(node)
+            self.in_root_function = False
+
+    def visit_AsyncFunctionDef(self, node: AsyncFunctionDef) -> Any:
+        self.visit_FunctionDef(node)
+
+
+class AnnotationTransformer(NodeTransformer):
+    type_substitutions: ClassVar[dict[str, tuple[str, str]]] = {
+        "builtins.dict": ("typing", "Dict"),
+        "builtins.list": ("typing", "List"),
+        "builtins.tuple": ("typing", "Tuple"),
+        "builtins.set": ("typing", "Set"),
+        "builtins.frozenset": ("typing", "FrozenSet"),
+    }
+
+    def __init__(self, transformer: TypeguardTransformer):
+        self.transformer = transformer
+        self._memo = transformer._memo
+        self._level = 0
+
+    def visit(self, node: AST) -> Any:
+        # Don't process Literals
+        if isinstance(node, expr) and self._memo.name_matches(node, *literal_names):
+            return node
+
+        self._level += 1
+        new_node = super().visit(node)
+        self._level -= 1
+
+        if isinstance(new_node, Expression) and not hasattr(new_node, "body"):
+            return None
+
+        # Return None if this new node matches a variation of typing.Any
+        if (
+            self._level == 0
+            and isinstance(new_node, expr)
+            and self._memo.name_matches(new_node, *anytype_names)
+        ):
+            return None
+
+        return new_node
+
+    def visit_BinOp(self, node: BinOp) -> Any:
+        self.generic_visit(node)
+
+        if isinstance(node.op, BitOr):
+            # If either branch of the BinOp has been transformed to `None`, it means
+            # that a type in the union was ignored, so the entire annotation should e
+            # ignored
+            if not hasattr(node, "left") or not hasattr(node, "right"):
+                return None
+
+            # Return Any if either side is Any
+            if self._memo.name_matches(node.left, *anytype_names):
+                return node.left
+            elif self._memo.name_matches(node.right, *anytype_names):
+                return node.right
+
+            if sys.version_info < (3, 10):
+                union_name = self.transformer._get_import("typing", "Union")
+                return Subscript(
+                    value=union_name,
+                    slice=Index(
+                        Tuple(elts=[node.left, node.right], ctx=Load()), ctx=Load()
+                    ),
+                    ctx=Load(),
+                )
+
+        return node
+
+    def visit_Attribute(self, node: Attribute) -> Any:
+        if self._memo.is_ignored_name(node):
+            return None
+
+        return node
+
+    def visit_Subscript(self, node: Subscript) -> Any:
+        if self._memo.is_ignored_name(node.value):
+            return None
+
+        # The subscript of typing(_extensions).Literal can be any arbitrary string, so
+        # don't try to evaluate it as code
+        if node.slice:
+            if isinstance(node.slice, Index):
+                # Python 3.8
+                slice_value = node.slice.value  # type: ignore[attr-defined]
+            else:
+                slice_value = node.slice
+
+            if isinstance(slice_value, Tuple):
+                if self._memo.name_matches(node.value, *annotated_names):
+                    # Only treat the first argument to typing.Annotated as a potential
+                    # forward reference
+                    items = cast(
+                        typing.List[expr],
+                        [self.visit(slice_value.elts[0])] + slice_value.elts[1:],
+                    )
+                else:
+                    items = cast(
+                        typing.List[expr],
+                        [self.visit(item) for item in slice_value.elts],
+                    )
+
+                # If this is a Union and any of the items is Any, erase the entire
+                # annotation
+                if self._memo.name_matches(node.value, "typing.Union") and any(
+                    item is None
+                    or (
+                        isinstance(item, expr)
+                        and self._memo.name_matches(item, *anytype_names)
+                    )
+                    for item in items
+                ):
+                    return None
+
+                # If all items in the subscript were Any, erase the subscript entirely
+                if all(item is None for item in items):
+                    return node.value
+
+                for index, item in enumerate(items):
+                    if item is None:
+                        items[index] = self.transformer._get_import("typing", "Any")
+
+                slice_value.elts = items
+            else:
+                self.generic_visit(node)
+
+                # If the transformer erased the slice entirely, just return the node
+                # value without the subscript (unless it's Optional, in which case erase
+                # the node entirely
+                if self._memo.name_matches(
+                    node.value, "typing.Optional"
+                ) and not hasattr(node, "slice"):
+                    return None
+                if sys.version_info >= (3, 9) and not hasattr(node, "slice"):
+                    return node.value
+                elif sys.version_info < (3, 9) and not hasattr(node.slice, "value"):
+                    return node.value
+
+        return node
+
+    def visit_Name(self, node: Name) -> Any:
+        if self._memo.is_ignored_name(node):
+            return None
+
+        if sys.version_info < (3, 9):
+            for typename, substitute in self.type_substitutions.items():
+                if self._memo.name_matches(node, typename):
+                    new_node = self.transformer._get_import(*substitute)
+                    return copy_location(new_node, node)
+
+        return node
+
+    def visit_Call(self, node: Call) -> Any:
+        # Don't recurse into calls
+        return node
+
+    def visit_Constant(self, node: Constant) -> Any:
+        if isinstance(node.value, str):
+            expression = ast.parse(node.value, mode="eval")
+            new_node = self.visit(expression)
+            if new_node:
+                return copy_location(new_node.body, node)
+            else:
+                return None
+
+        return node
+
+
+class TypeguardTransformer(NodeTransformer):
+    def __init__(
+        self, target_path: Sequence[str] | None = None, target_lineno: int | None = None
+    ) -> None:
+        self._target_path = tuple(target_path) if target_path else None
+        self._memo = self._module_memo = TransformMemo(None, None, ())
+        self.names_used_in_annotations: set[str] = set()
+        self.target_node: FunctionDef | AsyncFunctionDef | None = None
+        self.target_lineno = target_lineno
+
+    def generic_visit(self, node: AST) -> AST:
+        has_non_empty_body_initially = bool(getattr(node, "body", None))
+        initial_type = type(node)
+
+        node = super().generic_visit(node)
+
+        if (
+            type(node) is initial_type
+            and has_non_empty_body_initially
+            and hasattr(node, "body")
+            and not node.body
+        ):
+            # If we have still the same node type after transformation
+            # but we've optimised it's body away, we add a `pass` statement.
+            node.body = [Pass()]
+
+        return node
+
+    @contextmanager
+    def _use_memo(
+        self, node: ClassDef | FunctionDef | AsyncFunctionDef
+    ) -> Generator[None, Any, None]:
+        new_memo = TransformMemo(node, self._memo, self._memo.path + (node.name,))
+        old_memo = self._memo
+        self._memo = new_memo
+
+        if isinstance(node, (FunctionDef, AsyncFunctionDef)):
+            new_memo.should_instrument = (
+                self._target_path is None or new_memo.path == self._target_path
+            )
+            if new_memo.should_instrument:
+                # Check if the function is a generator function
+                detector = GeneratorDetector()
+                detector.visit(node)
+
+                # Extract yield, send and return types where possible from a subscripted
+                # annotation like Generator[int, str, bool]
+                return_annotation = deepcopy(node.returns)
+                if detector.contains_yields and new_memo.name_matches(
+                    return_annotation, *generator_names
+                ):
+                    if isinstance(return_annotation, Subscript):
+                        annotation_slice = return_annotation.slice
+
+                        # Python < 3.9
+                        if isinstance(annotation_slice, Index):
+                            annotation_slice = (
+                                annotation_slice.value  # type: ignore[attr-defined]
+                            )
+
+                        if isinstance(annotation_slice, Tuple):
+                            items = annotation_slice.elts
+                        else:
+                            items = [annotation_slice]
+
+                        if len(items) > 0:
+                            new_memo.yield_annotation = self._convert_annotation(
+                                items[0]
+                            )
+
+                        if len(items) > 1:
+                            new_memo.send_annotation = self._convert_annotation(
+                                items[1]
+                            )
+
+                        if len(items) > 2:
+                            new_memo.return_annotation = self._convert_annotation(
+                                items[2]
+                            )
+                else:
+                    new_memo.return_annotation = self._convert_annotation(
+                        return_annotation
+                    )
+
+        if isinstance(node, AsyncFunctionDef):
+            new_memo.is_async = True
+
+        yield
+        self._memo = old_memo
+
+    def _get_import(self, module: str, name: str) -> Name:
+        memo = self._memo if self._target_path else self._module_memo
+        return memo.get_import(module, name)
+
+    @overload
+    def _convert_annotation(self, annotation: None) -> None: ...
+
+    @overload
+    def _convert_annotation(self, annotation: expr) -> expr: ...
+
+    def _convert_annotation(self, annotation: expr | None) -> expr | None:
+        if annotation is None:
+            return None
+
+        # Convert PEP 604 unions (x | y) and generic built-in collections where
+        # necessary, and undo forward references
+        new_annotation = cast(expr, AnnotationTransformer(self).visit(annotation))
+        if isinstance(new_annotation, expr):
+            new_annotation = ast.copy_location(new_annotation, annotation)
+
+            # Store names used in the annotation
+            names = {node.id for node in walk(new_annotation) if isinstance(node, Name)}
+            self.names_used_in_annotations.update(names)
+
+        return new_annotation
+
+    def visit_Name(self, node: Name) -> Name:
+        self._memo.local_names.add(node.id)
+        return node
+
+    def visit_Module(self, node: Module) -> Module:
+        self._module_memo = self._memo = TransformMemo(node, None, ())
+        self.generic_visit(node)
+        self._module_memo.insert_imports(node)
+
+        fix_missing_locations(node)
+        return node
+
+    def visit_Import(self, node: Import) -> Import:
+        for name in node.names:
+            self._memo.local_names.add(name.asname or name.name)
+            self._memo.imported_names[name.asname or name.name] = name.name
+
+        return node
+
+    def visit_ImportFrom(self, node: ImportFrom) -> ImportFrom:
+        for name in node.names:
+            if name.name != "*":
+                alias = name.asname or name.name
+                self._memo.local_names.add(alias)
+                self._memo.imported_names[alias] = f"{node.module}.{name.name}"
+
+        return node
+
+    def visit_ClassDef(self, node: ClassDef) -> ClassDef | None:
+        self._memo.local_names.add(node.name)
+
+        # Eliminate top level classes not belonging to the target path
+        if (
+            self._target_path is not None
+            and not self._memo.path
+            and node.name != self._target_path[0]
+        ):
+            return None
+
+        with self._use_memo(node):
+            for decorator in node.decorator_list.copy():
+                if self._memo.name_matches(decorator, "typeguard.typechecked"):
+                    # Remove the decorator to prevent duplicate instrumentation
+                    node.decorator_list.remove(decorator)
+
+                    # Store any configuration overrides
+                    if isinstance(decorator, Call) and decorator.keywords:
+                        self._memo.configuration_overrides.update(
+                            {kw.arg: kw.value for kw in decorator.keywords if kw.arg}
+                        )
+
+            self.generic_visit(node)
+            return node
+
+    def visit_FunctionDef(
+        self, node: FunctionDef | AsyncFunctionDef
+    ) -> FunctionDef | AsyncFunctionDef | None:
+        """
+        Injects type checks for function arguments, and for a return of None if the
+        function is annotated to return something else than Any or None, and the body
+        ends without an explicit "return".
+
+        """
+        self._memo.local_names.add(node.name)
+
+        # Eliminate top level functions not belonging to the target path
+        if (
+            self._target_path is not None
+            and not self._memo.path
+            and node.name != self._target_path[0]
+        ):
+            return None
+
+        # Skip instrumentation if we're instrumenting the whole module and the function
+        # contains either @no_type_check or @typeguard_ignore
+        if self._target_path is None:
+            for decorator in node.decorator_list:
+                if self._memo.name_matches(decorator, *ignore_decorators):
+                    return node
+
+        with self._use_memo(node):
+            arg_annotations: dict[str, Any] = {}
+            if self._target_path is None or self._memo.path == self._target_path:
+                # Find line number we're supposed to match against
+                if node.decorator_list:
+                    first_lineno = node.decorator_list[0].lineno
+                else:
+                    first_lineno = node.lineno
+
+                for decorator in node.decorator_list.copy():
+                    if self._memo.name_matches(decorator, "typing.overload"):
+                        # Remove overloads entirely
+                        return None
+                    elif self._memo.name_matches(decorator, "typeguard.typechecked"):
+                        # Remove the decorator to prevent duplicate instrumentation
+                        node.decorator_list.remove(decorator)
+
+                        # Store any configuration overrides
+                        if isinstance(decorator, Call) and decorator.keywords:
+                            self._memo.configuration_overrides = {
+                                kw.arg: kw.value for kw in decorator.keywords if kw.arg
+                            }
+
+                if self.target_lineno == first_lineno:
+                    assert self.target_node is None
+                    self.target_node = node
+                    if node.decorator_list:
+                        self.target_lineno = node.decorator_list[0].lineno
+                    else:
+                        self.target_lineno = node.lineno
+
+                all_args = node.args.args + node.args.kwonlyargs + node.args.posonlyargs
+
+                # Ensure that any type shadowed by the positional or keyword-only
+                # argument names are ignored in this function
+                for arg in all_args:
+                    self._memo.ignored_names.add(arg.arg)
+
+                # Ensure that any type shadowed by the variable positional argument name
+                # (e.g. "args" in *args) is ignored this function
+                if node.args.vararg:
+                    self._memo.ignored_names.add(node.args.vararg.arg)
+
+                # Ensure that any type shadowed by the variable keywrod argument name
+                # (e.g. "kwargs" in *kwargs) is ignored this function
+                if node.args.kwarg:
+                    self._memo.ignored_names.add(node.args.kwarg.arg)
+
+                for arg in all_args:
+                    annotation = self._convert_annotation(deepcopy(arg.annotation))
+                    if annotation:
+                        arg_annotations[arg.arg] = annotation
+
+                if node.args.vararg:
+                    annotation_ = self._convert_annotation(node.args.vararg.annotation)
+                    if annotation_:
+                        if sys.version_info >= (3, 9):
+                            container = Name("tuple", ctx=Load())
+                        else:
+                            container = self._get_import("typing", "Tuple")
+
+                        subscript_slice: Tuple | Index = Tuple(
+                            [
+                                annotation_,
+                                Constant(Ellipsis),
+                            ],
+                            ctx=Load(),
+                        )
+                        if sys.version_info < (3, 9):
+                            subscript_slice = Index(subscript_slice, ctx=Load())
+
+                        arg_annotations[node.args.vararg.arg] = Subscript(
+                            container, subscript_slice, ctx=Load()
+                        )
+
+                if node.args.kwarg:
+                    annotation_ = self._convert_annotation(node.args.kwarg.annotation)
+                    if annotation_:
+                        if sys.version_info >= (3, 9):
+                            container = Name("dict", ctx=Load())
+                        else:
+                            container = self._get_import("typing", "Dict")
+
+                        subscript_slice = Tuple(
+                            [
+                                Name("str", ctx=Load()),
+                                annotation_,
+                            ],
+                            ctx=Load(),
+                        )
+                        if sys.version_info < (3, 9):
+                            subscript_slice = Index(subscript_slice, ctx=Load())
+
+                        arg_annotations[node.args.kwarg.arg] = Subscript(
+                            container, subscript_slice, ctx=Load()
+                        )
+
+                if arg_annotations:
+                    self._memo.variable_annotations.update(arg_annotations)
+
+            self.generic_visit(node)
+
+            if arg_annotations:
+                annotations_dict = Dict(
+                    keys=[Constant(key) for key in arg_annotations.keys()],
+                    values=[
+                        Tuple([Name(key, ctx=Load()), annotation], ctx=Load())
+                        for key, annotation in arg_annotations.items()
+                    ],
+                )
+                func_name = self._get_import(
+                    "typeguard._functions", "check_argument_types"
+                )
+                args = [
+                    self._memo.joined_path,
+                    annotations_dict,
+                    self._memo.get_memo_name(),
+                ]
+                node.body.insert(
+                    self._memo.code_inject_index, Expr(Call(func_name, args, []))
+                )
+
+            # Add a checked "return None" to the end if there's no explicit return
+            # Skip if the return annotation is None or Any
+            if (
+                self._memo.return_annotation
+                and (not self._memo.is_async or not self._memo.has_yield_expressions)
+                and not isinstance(node.body[-1], Return)
+                and (
+                    not isinstance(self._memo.return_annotation, Constant)
+                    or self._memo.return_annotation.value is not None
+                )
+            ):
+                func_name = self._get_import(
+                    "typeguard._functions", "check_return_type"
+                )
+                return_node = Return(
+                    Call(
+                        func_name,
+                        [
+                            self._memo.joined_path,
+                            Constant(None),
+                            self._memo.return_annotation,
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+                )
+
+                # Replace a placeholder "pass" at the end
+                if isinstance(node.body[-1], Pass):
+                    copy_location(return_node, node.body[-1])
+                    del node.body[-1]
+
+                node.body.append(return_node)
+
+            # Insert code to create the call memo, if it was ever needed for this
+            # function
+            if self._memo.memo_var_name:
+                memo_kwargs: dict[str, Any] = {}
+                if self._memo.parent and isinstance(self._memo.parent.node, ClassDef):
+                    for decorator in node.decorator_list:
+                        if (
+                            isinstance(decorator, Name)
+                            and decorator.id == "staticmethod"
+                        ):
+                            break
+                        elif (
+                            isinstance(decorator, Name)
+                            and decorator.id == "classmethod"
+                        ):
+                            memo_kwargs["self_type"] = Name(
+                                id=node.args.args[0].arg, ctx=Load()
+                            )
+                            break
+                    else:
+                        if node.args.args:
+                            if node.name == "__new__":
+                                memo_kwargs["self_type"] = Name(
+                                    id=node.args.args[0].arg, ctx=Load()
+                                )
+                            else:
+                                memo_kwargs["self_type"] = Attribute(
+                                    Name(id=node.args.args[0].arg, ctx=Load()),
+                                    "__class__",
+                                    ctx=Load(),
+                                )
+
+                # Construct the function reference
+                # Nested functions get special treatment: the function name is added
+                # to free variables (and the closure of the resulting function)
+                names: list[str] = [node.name]
+                memo = self._memo.parent
+                while memo:
+                    if isinstance(memo.node, (FunctionDef, AsyncFunctionDef)):
+                        # This is a nested function. Use the function name as-is.
+                        del names[:-1]
+                        break
+                    elif not isinstance(memo.node, ClassDef):
+                        break
+
+                    names.insert(0, memo.node.name)
+                    memo = memo.parent
+
+                config_keywords = self._memo.get_config_keywords()
+                if config_keywords:
+                    memo_kwargs["config"] = Call(
+                        self._get_import("dataclasses", "replace"),
+                        [self._get_import("typeguard._config", "global_config")],
+                        config_keywords,
+                    )
+
+                self._memo.memo_var_name.id = self._memo.get_unused_name("memo")
+                memo_store_name = Name(id=self._memo.memo_var_name.id, ctx=Store())
+                globals_call = Call(Name(id="globals", ctx=Load()), [], [])
+                locals_call = Call(Name(id="locals", ctx=Load()), [], [])
+                memo_expr = Call(
+                    self._get_import("typeguard", "TypeCheckMemo"),
+                    [globals_call, locals_call],
+                    [keyword(key, value) for key, value in memo_kwargs.items()],
+                )
+                node.body.insert(
+                    self._memo.code_inject_index,
+                    Assign([memo_store_name], memo_expr),
+                )
+
+                self._memo.insert_imports(node)
+
+                # Special case the __new__() method to create a local alias from the
+                # class name to the first argument (usually "cls")
+                if (
+                    isinstance(node, FunctionDef)
+                    and node.args
+                    and self._memo.parent is not None
+                    and isinstance(self._memo.parent.node, ClassDef)
+                    and node.name == "__new__"
+                ):
+                    first_args_expr = Name(node.args.args[0].arg, ctx=Load())
+                    cls_name = Name(self._memo.parent.node.name, ctx=Store())
+                    node.body.insert(
+                        self._memo.code_inject_index,
+                        Assign([cls_name], first_args_expr),
+                    )
+
+                # Rmove any placeholder "pass" at the end
+                if isinstance(node.body[-1], Pass):
+                    del node.body[-1]
+
+        return node
+
+    def visit_AsyncFunctionDef(
+        self, node: AsyncFunctionDef
+    ) -> FunctionDef | AsyncFunctionDef | None:
+        return self.visit_FunctionDef(node)
+
+    def visit_Return(self, node: Return) -> Return:
+        """This injects type checks into "return" statements."""
+        self.generic_visit(node)
+        if (
+            self._memo.return_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.return_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_return_type")
+            old_node = node
+            retval = old_node.value or Constant(None)
+            node = Return(
+                Call(
+                    func_name,
+                    [
+                        self._memo.joined_path,
+                        retval,
+                        self._memo.return_annotation,
+                        self._memo.get_memo_name(),
+                    ],
+                    [],
+                )
+            )
+            copy_location(node, old_node)
+
+        return node
+
+    def visit_Yield(self, node: Yield) -> Yield | Call:
+        """
+        This injects type checks into "yield" expressions, checking both the yielded
+        value and the value sent back to the generator, when appropriate.
+
+        """
+        self._memo.has_yield_expressions = True
+        self.generic_visit(node)
+
+        if (
+            self._memo.yield_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.yield_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_yield_type")
+            yieldval = node.value or Constant(None)
+            node.value = Call(
+                func_name,
+                [
+                    self._memo.joined_path,
+                    yieldval,
+                    self._memo.yield_annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+
+        if (
+            self._memo.send_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.send_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_send_type")
+            old_node = node
+            call_node = Call(
+                func_name,
+                [
+                    self._memo.joined_path,
+                    old_node,
+                    self._memo.send_annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+            copy_location(call_node, old_node)
+            return call_node
+
+        return node
+
+    def visit_AnnAssign(self, node: AnnAssign) -> Any:
+        """
+        This injects a type check into a local variable annotation-assignment within a
+        function body.
+
+        """
+        self.generic_visit(node)
+
+        if (
+            isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef))
+            and node.annotation
+            and isinstance(node.target, Name)
+        ):
+            self._memo.ignored_names.add(node.target.id)
+            annotation = self._convert_annotation(deepcopy(node.annotation))
+            if annotation:
+                self._memo.variable_annotations[node.target.id] = annotation
+                if node.value:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_variable_assignment"
+                    )
+                    node.value = Call(
+                        func_name,
+                        [
+                            node.value,
+                            Constant(node.target.id),
+                            annotation,
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+
+        return node
+
+    def visit_Assign(self, node: Assign) -> Any:
+        """
+        This injects a type check into a local variable assignment within a function
+        body. The variable must have been annotated earlier in the function body.
+
+        """
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)):
+            targets: list[dict[Constant, expr | None]] = []
+            check_required = False
+            for target in node.targets:
+                elts: Sequence[expr]
+                if isinstance(target, Name):
+                    elts = [target]
+                elif isinstance(target, Tuple):
+                    elts = target.elts
+                else:
+                    continue
+
+                annotations_: dict[Constant, expr | None] = {}
+                for exp in elts:
+                    prefix = ""
+                    if isinstance(exp, Starred):
+                        exp = exp.value
+                        prefix = "*"
+
+                    if isinstance(exp, Name):
+                        self._memo.ignored_names.add(exp.id)
+                        name = prefix + exp.id
+                        annotation = self._memo.variable_annotations.get(exp.id)
+                        if annotation:
+                            annotations_[Constant(name)] = annotation
+                            check_required = True
+                        else:
+                            annotations_[Constant(name)] = None
+
+                targets.append(annotations_)
+
+            if check_required:
+                # Replace missing annotations with typing.Any
+                for item in targets:
+                    for key, expression in item.items():
+                        if expression is None:
+                            item[key] = self._get_import("typing", "Any")
+
+                if len(targets) == 1 and len(targets[0]) == 1:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_variable_assignment"
+                    )
+                    target_varname = next(iter(targets[0]))
+                    node.value = Call(
+                        func_name,
+                        [
+                            node.value,
+                            target_varname,
+                            targets[0][target_varname],
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+                elif targets:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_multi_variable_assignment"
+                    )
+                    targets_arg = List(
+                        [
+                            Dict(keys=list(target), values=list(target.values()))
+                            for target in targets
+                        ],
+                        ctx=Load(),
+                    )
+                    node.value = Call(
+                        func_name,
+                        [node.value, targets_arg, self._memo.get_memo_name()],
+                        [],
+                    )
+
+        return node
+
+    def visit_NamedExpr(self, node: NamedExpr) -> Any:
+        """This injects a type check into an assignment expression (a := foo())."""
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)) and isinstance(
+            node.target, Name
+        ):
+            self._memo.ignored_names.add(node.target.id)
+
+            # Bail out if no matching annotation is found
+            annotation = self._memo.variable_annotations.get(node.target.id)
+            if annotation is None:
+                return node
+
+            func_name = self._get_import(
+                "typeguard._functions", "check_variable_assignment"
+            )
+            node.value = Call(
+                func_name,
+                [
+                    node.value,
+                    Constant(node.target.id),
+                    annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+
+        return node
+
+    def visit_AugAssign(self, node: AugAssign) -> Any:
+        """
+        This injects a type check into an augmented assignment expression (a += 1).
+
+        """
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)) and isinstance(
+            node.target, Name
+        ):
+            # Bail out if no matching annotation is found
+            annotation = self._memo.variable_annotations.get(node.target.id)
+            if annotation is None:
+                return node
+
+            # Bail out if the operator is not found (newer Python version?)
+            try:
+                operator_func_name = aug_assign_functions[node.op.__class__]
+            except KeyError:
+                return node
+
+            operator_func = self._get_import("operator", operator_func_name)
+            operator_call = Call(
+                operator_func, [Name(node.target.id, ctx=Load()), node.value], []
+            )
+            check_call = Call(
+                self._get_import("typeguard._functions", "check_variable_assignment"),
+                [
+                    operator_call,
+                    Constant(node.target.id),
+                    annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+            return Assign(targets=[node.target], value=check_call)
+
+        return node
+
+    def visit_If(self, node: If) -> Any:
+        """
+        This blocks names from being collected from a module-level
+        "if typing.TYPE_CHECKING:" block, so that they won't be type checked.
+
+        """
+        self.generic_visit(node)
+
+        if (
+            self._memo is self._module_memo
+            and isinstance(node.test, Name)
+            and self._memo.name_matches(node.test, "typing.TYPE_CHECKING")
+        ):
+            collector = NameCollector()
+            collector.visit(node)
+            self._memo.ignored_names.update(collector.names)
+
+        return node
diff --git a/metaflow/_vendor/typeguard/_union_transformer.py b/metaflow/_vendor/typeguard/_union_transformer.py
new file mode 100644
index 00000000000..19617e6af5a
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_union_transformer.py
@@ -0,0 +1,55 @@
+"""
+Transforms lazily evaluated PEP 604 unions into typing.Unions, for compatibility with
+Python versions older than 3.10.
+"""
+
+from __future__ import annotations
+
+from ast import (
+    BinOp,
+    BitOr,
+    Index,
+    Load,
+    Name,
+    NodeTransformer,
+    Subscript,
+    fix_missing_locations,
+    parse,
+)
+from ast import Tuple as ASTTuple
+from types import CodeType
+from typing import Any, Dict, FrozenSet, List, Set, Tuple, Union
+
+type_substitutions = {
+    "dict": Dict,
+    "list": List,
+    "tuple": Tuple,
+    "set": Set,
+    "frozenset": FrozenSet,
+    "Union": Union,
+}
+
+
+class UnionTransformer(NodeTransformer):
+    def __init__(self, union_name: Name | None = None):
+        self.union_name = union_name or Name(id="Union", ctx=Load())
+
+    def visit_BinOp(self, node: BinOp) -> Any:
+        self.generic_visit(node)
+        if isinstance(node.op, BitOr):
+            return Subscript(
+                value=self.union_name,
+                slice=Index(
+                    ASTTuple(elts=[node.left, node.right], ctx=Load()), ctx=Load()
+                ),
+                ctx=Load(),
+            )
+
+        return node
+
+
+def compile_type_hint(hint: str) -> CodeType:
+    parsed = parse(hint, "", "eval")
+    UnionTransformer().visit(parsed)
+    fix_missing_locations(parsed)
+    return compile(parsed, "", "eval", flags=0)
diff --git a/metaflow/_vendor/typeguard/_utils.py b/metaflow/_vendor/typeguard/_utils.py
new file mode 100644
index 00000000000..ee326a47b29
--- /dev/null
+++ b/metaflow/_vendor/typeguard/_utils.py
@@ -0,0 +1,173 @@
+from __future__ import annotations
+
+import inspect
+import sys
+from importlib import import_module
+from inspect import currentframe
+from types import CodeType, FrameType, FunctionType
+from typing import TYPE_CHECKING, Any, Callable, ForwardRef, Union, cast, final
+from weakref import WeakValueDictionary
+
+if TYPE_CHECKING:
+    from ._memo import TypeCheckMemo
+
+if sys.version_info >= (3, 13):
+    from typing import get_args, get_origin
+
+    def evaluate_forwardref(forwardref: ForwardRef, memo: TypeCheckMemo) -> Any:
+        return forwardref._evaluate(
+            memo.globals, memo.locals, type_params=(), recursive_guard=frozenset()
+        )
+
+elif sys.version_info >= (3, 10):
+    from typing import get_args, get_origin
+
+    def evaluate_forwardref(forwardref: ForwardRef, memo: TypeCheckMemo) -> Any:
+        return forwardref._evaluate(
+            memo.globals, memo.locals, recursive_guard=frozenset()
+        )
+
+else:
+    from metaflow._vendor.typing_extensions import get_args, get_origin
+
+    evaluate_extra_args: tuple[frozenset[Any], ...] = (
+        (frozenset(),) if sys.version_info >= (3, 9) else ()
+    )
+
+    def evaluate_forwardref(forwardref: ForwardRef, memo: TypeCheckMemo) -> Any:
+        from ._union_transformer import compile_type_hint, type_substitutions
+
+        if not forwardref.__forward_evaluated__:
+            forwardref.__forward_code__ = compile_type_hint(forwardref.__forward_arg__)
+
+        try:
+            return forwardref._evaluate(memo.globals, memo.locals, *evaluate_extra_args)
+        except NameError:
+            if sys.version_info < (3, 10):
+                # Try again, with the type substitutions (list -> List etc.) in place
+                new_globals = memo.globals.copy()
+                new_globals.setdefault("Union", Union)
+                if sys.version_info < (3, 9):
+                    new_globals.update(type_substitutions)
+
+                return forwardref._evaluate(
+                    new_globals, memo.locals or new_globals, *evaluate_extra_args
+                )
+
+            raise
+
+
+_functions_map: WeakValueDictionary[CodeType, FunctionType] = WeakValueDictionary()
+
+
+def get_type_name(type_: Any) -> str:
+    name: str
+    for attrname in "__name__", "_name", "__forward_arg__":
+        candidate = getattr(type_, attrname, None)
+        if isinstance(candidate, str):
+            name = candidate
+            break
+    else:
+        origin = get_origin(type_)
+        candidate = getattr(origin, "_name", None)
+        if candidate is None:
+            candidate = type_.__class__.__name__.strip("_")
+
+        if isinstance(candidate, str):
+            name = candidate
+        else:
+            return "(unknown)"
+
+    args = get_args(type_)
+    if args:
+        if name == "Literal":
+            formatted_args = ", ".join(repr(arg) for arg in args)
+        else:
+            formatted_args = ", ".join(get_type_name(arg) for arg in args)
+
+        name += f"[{formatted_args}]"
+
+    module = getattr(type_, "__module__", None)
+    if module and module not in (None, "typing", "typing_extensions", "builtins"):
+        name = module + "." + name
+
+    return name
+
+
+def qualified_name(obj: Any, *, add_class_prefix: bool = False) -> str:
+    """
+    Return the qualified name (e.g. package.module.Type) for the given object.
+
+    Builtins and types from the :mod:`typing` package get special treatment by having
+    the module name stripped from the generated name.
+
+    """
+    if obj is None:
+        return "None"
+    elif inspect.isclass(obj):
+        prefix = "class " if add_class_prefix else ""
+        type_ = obj
+    else:
+        prefix = ""
+        type_ = type(obj)
+
+    module = type_.__module__
+    qualname = type_.__qualname__
+    name = qualname if module in ("typing", "builtins") else f"{module}.{qualname}"
+    return prefix + name
+
+
+def function_name(func: Callable[..., Any]) -> str:
+    """
+    Return the qualified name of the given function.
+
+    Builtins and types from the :mod:`typing` package get special treatment by having
+    the module name stripped from the generated name.
+
+    """
+    # For partial functions and objects with __call__ defined, __qualname__ does not
+    # exist
+    module = getattr(func, "__module__", "")
+    qualname = (module + ".") if module not in ("builtins", "") else ""
+    return qualname + getattr(func, "__qualname__", repr(func))
+
+
+def resolve_reference(reference: str) -> Any:
+    modulename, varname = reference.partition(":")[::2]
+    if not modulename or not varname:
+        raise ValueError(f"{reference!r} is not a module:varname reference")
+
+    obj = import_module(modulename)
+    for attr in varname.split("."):
+        obj = getattr(obj, attr)
+
+    return obj
+
+
+def is_method_of(obj: object, cls: type) -> bool:
+    return (
+        inspect.isfunction(obj)
+        and obj.__module__ == cls.__module__
+        and obj.__qualname__.startswith(cls.__qualname__ + ".")
+    )
+
+
+def get_stacklevel() -> int:
+    level = 1
+    frame = cast(FrameType, currentframe()).f_back
+    while frame and frame.f_globals.get("__name__", "").startswith("typeguard."):
+        level += 1
+        frame = frame.f_back
+
+    return level
+
+
+@final
+class Unset:
+    __slots__ = ()
+
+    def __repr__(self) -> str:
+        return ""
+
+
+unset = Unset()
diff --git a/metaflow/_vendor/typeguard/py.typed b/metaflow/_vendor/typeguard/py.typed
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/metaflow/_vendor/typing_extensions.LICENSE b/metaflow/_vendor/typing_extensions.LICENSE
new file mode 100644
index 00000000000..f26bcf4d2de
--- /dev/null
+++ b/metaflow/_vendor/typing_extensions.LICENSE
@@ -0,0 +1,279 @@
+A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC.  Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team.  In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation.  In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
+
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition).  Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+    Release         Derived     Year        Owner       GPL-
+                    from                                compatible? (1)
+
+    0.9.0 thru 1.2              1991-1995   CWI         yes
+    1.3 thru 1.5.2  1.2         1995-1999   CNRI        yes
+    1.6             1.5.2       2000        CNRI        no
+    2.0             1.6         2000        BeOpen.com  no
+    1.6.1           1.6         2001        CNRI        yes (2)
+    2.1             2.0+1.6.1   2001        PSF         no
+    2.0.1           2.0+1.6.1   2001        PSF         yes
+    2.1.1           2.1+2.0.1   2001        PSF         yes
+    2.1.2           2.1.1       2002        PSF         yes
+    2.1.3           2.1.2       2002        PSF         yes
+    2.2 and above   2.1.1       2001-now    PSF         yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+    the GPL.  All Python licenses, unlike the GPL, let you distribute
+    a modified version without making your changes open source.  The
+    GPL-compatible licenses make it possible to combine Python with
+    other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+    because its license has a choice of law clause.  According to
+    CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+    is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+Python software and documentation are licensed under the
+Python Software Foundation License Version 2.
+
+Starting with Python 3.8.6, examples, recipes, and other code in
+the documentation are dual licensed under the PSF License Version 2
+and the Zero-Clause BSD license.
+
+Some software incorporated into Python is under different licenses.
+The licenses are listed with code falling under that license.
+
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using this software ("Python") in source or binary form and
+its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF hereby
+grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+analyze, test, perform and/or display publicly, prepare derivative works,
+distribute, and otherwise use Python alone or in any derivative version,
+provided, however, that PSF's License Agreement and PSF's notice of copyright,
+i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;
+All Rights Reserved" are retained in Python alone or in any derivative version
+prepared by Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python.
+
+4. PSF is making Python available to Licensee on an "AS IS"
+basis.  PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee.  This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
+basis.  BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+5. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+6. This License Agreement shall be governed by and interpreted in all
+respects by the law of the State of California, excluding conflict of
+law provisions.  Nothing in this License Agreement shall be deemed to
+create any relationship of agency, partnership, or joint venture
+between BeOpen and Licensee.  This License Agreement does not grant
+permission to use BeOpen trademarks or trade names in a trademark
+sense to endorse or promote products or services of Licensee, or any
+third party.  As an exception, the "BeOpen Python" logos available at
+http://www.pythonlabs.com/logos.html may be used according to the
+permissions granted on that web page.
+
+7. By copying, installing or otherwise using the software, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
+source or binary form and its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, CNRI
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 1.6.1
+alone or in any derivative version, provided, however, that CNRI's
+License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+1995-2001 Corporation for National Research Initiatives; All Rights
+Reserved" are retained in Python 1.6.1 alone or in any derivative
+version prepared by Licensee.  Alternately, in lieu of CNRI's License
+Agreement, Licensee may substitute the following text (omitting the
+quotes): "Python 1.6.1 is made available subject to the terms and
+conditions in CNRI's License Agreement.  This Agreement together with
+Python 1.6.1 may be located on the internet using the following
+unique, persistent identifier (known as a handle): 1895.22/1013.  This
+Agreement may also be obtained from a proxy server on the internet
+using the following URL: http://hdl.handle.net/1895.22/1013".
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 1.6.1 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 1.6.1.
+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+basis.  CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. This License Agreement shall be governed by the federal
+intellectual property law of the United States, including without
+limitation the federal copyright law, and, to the extent such
+U.S. federal law does not apply, by the law of the Commonwealth of
+Virginia, excluding Virginia's conflict of law provisions.
+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
+previously distributed under the GNU General Public License (GPL), the
+law of the Commonwealth of Virginia shall govern this License
+Agreement only as to issues arising under or with respect to
+Paragraphs 4, 5, and 7 of this License Agreement.  Nothing in this
+License Agreement shall be deemed to create any relationship of
+agency, partnership, or joint venture between CNRI and Licensee.  This
+License Agreement does not grant permission to use CNRI trademarks or
+trade name in a trademark sense to endorse or promote products or
+services of Licensee, or any third party.
+
+8. By clicking on the "ACCEPT" button where indicated, or by copying,
+installing or otherwise using Python 1.6.1, Licensee agrees to be
+bound by the terms and conditions of this License Agreement.
+
+        ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands.  All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
+documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appear in all copies and that
+both that copyright notice and this permission notice appear in
+supporting documentation, and that the name of Stichting Mathematisch
+Centrum or CWI not be used in advertising or publicity pertaining to
+distribution of the software without specific, written prior
+permission.
+
+STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+----------------------------------------------------------------------
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
diff --git a/metaflow/_vendor/typing_extensions.py b/metaflow/_vendor/typing_extensions.py
new file mode 100644
index 00000000000..edf1805f00f
--- /dev/null
+++ b/metaflow/_vendor/typing_extensions.py
@@ -0,0 +1,3641 @@
+import abc
+import collections
+import collections.abc
+import contextlib
+import functools
+import inspect
+import operator
+import sys
+import types as _types
+import typing
+import warnings
+
+__all__ = [
+    # Super-special typing primitives.
+    'Any',
+    'ClassVar',
+    'Concatenate',
+    'Final',
+    'LiteralString',
+    'ParamSpec',
+    'ParamSpecArgs',
+    'ParamSpecKwargs',
+    'Self',
+    'Type',
+    'TypeVar',
+    'TypeVarTuple',
+    'Unpack',
+
+    # ABCs (from collections.abc).
+    'Awaitable',
+    'AsyncIterator',
+    'AsyncIterable',
+    'Coroutine',
+    'AsyncGenerator',
+    'AsyncContextManager',
+    'Buffer',
+    'ChainMap',
+
+    # Concrete collection types.
+    'ContextManager',
+    'Counter',
+    'Deque',
+    'DefaultDict',
+    'NamedTuple',
+    'OrderedDict',
+    'TypedDict',
+
+    # Structural checks, a.k.a. protocols.
+    'SupportsAbs',
+    'SupportsBytes',
+    'SupportsComplex',
+    'SupportsFloat',
+    'SupportsIndex',
+    'SupportsInt',
+    'SupportsRound',
+
+    # One-off things.
+    'Annotated',
+    'assert_never',
+    'assert_type',
+    'clear_overloads',
+    'dataclass_transform',
+    'deprecated',
+    'Doc',
+    'get_overloads',
+    'final',
+    'get_args',
+    'get_origin',
+    'get_original_bases',
+    'get_protocol_members',
+    'get_type_hints',
+    'IntVar',
+    'is_protocol',
+    'is_typeddict',
+    'Literal',
+    'NewType',
+    'overload',
+    'override',
+    'Protocol',
+    'reveal_type',
+    'runtime',
+    'runtime_checkable',
+    'Text',
+    'TypeAlias',
+    'TypeAliasType',
+    'TypeGuard',
+    'TypeIs',
+    'TYPE_CHECKING',
+    'Never',
+    'NoReturn',
+    'ReadOnly',
+    'Required',
+    'NotRequired',
+
+    # Pure aliases, have always been in typing
+    'AbstractSet',
+    'AnyStr',
+    'BinaryIO',
+    'Callable',
+    'Collection',
+    'Container',
+    'Dict',
+    'ForwardRef',
+    'FrozenSet',
+    'Generator',
+    'Generic',
+    'Hashable',
+    'IO',
+    'ItemsView',
+    'Iterable',
+    'Iterator',
+    'KeysView',
+    'List',
+    'Mapping',
+    'MappingView',
+    'Match',
+    'MutableMapping',
+    'MutableSequence',
+    'MutableSet',
+    'NoDefault',
+    'Optional',
+    'Pattern',
+    'Reversible',
+    'Sequence',
+    'Set',
+    'Sized',
+    'TextIO',
+    'Tuple',
+    'Union',
+    'ValuesView',
+    'cast',
+    'no_type_check',
+    'no_type_check_decorator',
+]
+
+# for backward compatibility
+PEP_560 = True
+GenericMeta = type
+_PEP_696_IMPLEMENTED = sys.version_info >= (3, 13, 0, "beta")
+
+# The functions below are modified copies of typing internal helpers.
+# They are needed by _ProtocolMeta and they provide support for PEP 646.
+
+
+class _Sentinel:
+    def __repr__(self):
+        return ""
+
+
+_marker = _Sentinel()
+
+
+if sys.version_info >= (3, 10):
+    def _should_collect_from_parameters(t):
+        return isinstance(
+            t, (typing._GenericAlias, _types.GenericAlias, _types.UnionType)
+        )
+elif sys.version_info >= (3, 9):
+    def _should_collect_from_parameters(t):
+        return isinstance(t, (typing._GenericAlias, _types.GenericAlias))
+else:
+    def _should_collect_from_parameters(t):
+        return isinstance(t, typing._GenericAlias) and not t._special
+
+
+NoReturn = typing.NoReturn
+
+# Some unconstrained type variables.  These are used by the container types.
+# (These are not for export.)
+T = typing.TypeVar('T')  # Any type.
+KT = typing.TypeVar('KT')  # Key type.
+VT = typing.TypeVar('VT')  # Value type.
+T_co = typing.TypeVar('T_co', covariant=True)  # Any type covariant containers.
+T_contra = typing.TypeVar('T_contra', contravariant=True)  # Ditto contravariant.
+
+
+if sys.version_info >= (3, 11):
+    from typing import Any
+else:
+
+    class _AnyMeta(type):
+        def __instancecheck__(self, obj):
+            if self is Any:
+                raise TypeError("typing_extensions.Any cannot be used with isinstance()")
+            return super().__instancecheck__(obj)
+
+        def __repr__(self):
+            if self is Any:
+                return "typing_extensions.Any"
+            return super().__repr__()
+
+    class Any(metaclass=_AnyMeta):
+        """Special type indicating an unconstrained type.
+        - Any is compatible with every type.
+        - Any assumed to have all methods.
+        - All values assumed to be instances of Any.
+        Note that all the above statements are true from the point of view of
+        static type checkers. At runtime, Any should not be used with instance
+        checks.
+        """
+        def __new__(cls, *args, **kwargs):
+            if cls is Any:
+                raise TypeError("Any cannot be instantiated")
+            return super().__new__(cls, *args, **kwargs)
+
+
+ClassVar = typing.ClassVar
+
+
+class _ExtensionsSpecialForm(typing._SpecialForm, _root=True):
+    def __repr__(self):
+        return 'typing_extensions.' + self._name
+
+
+Final = typing.Final
+
+if sys.version_info >= (3, 11):
+    final = typing.final
+else:
+    # @final exists in 3.8+, but we backport it for all versions
+    # before 3.11 to keep support for the __final__ attribute.
+    # See https://bugs.python.org/issue46342
+    def final(f):
+        """This decorator can be used to indicate to type checkers that
+        the decorated method cannot be overridden, and decorated class
+        cannot be subclassed. For example:
+
+            class Base:
+                @final
+                def done(self) -> None:
+                    ...
+            class Sub(Base):
+                def done(self) -> None:  # Error reported by type checker
+                    ...
+            @final
+            class Leaf:
+                ...
+            class Other(Leaf):  # Error reported by type checker
+                ...
+
+        There is no runtime checking of these properties. The decorator
+        sets the ``__final__`` attribute to ``True`` on the decorated object
+        to allow runtime introspection.
+        """
+        try:
+            f.__final__ = True
+        except (AttributeError, TypeError):
+            # Skip the attribute silently if it is not writable.
+            # AttributeError happens if the object has __slots__ or a
+            # read-only property, TypeError if it's a builtin class.
+            pass
+        return f
+
+
+def IntVar(name):
+    return typing.TypeVar(name)
+
+
+# A Literal bug was fixed in 3.11.0, 3.10.1 and 3.9.8
+if sys.version_info >= (3, 10, 1):
+    Literal = typing.Literal
+else:
+    def _flatten_literal_params(parameters):
+        """An internal helper for Literal creation: flatten Literals among parameters"""
+        params = []
+        for p in parameters:
+            if isinstance(p, _LiteralGenericAlias):
+                params.extend(p.__args__)
+            else:
+                params.append(p)
+        return tuple(params)
+
+    def _value_and_type_iter(params):
+        for p in params:
+            yield p, type(p)
+
+    class _LiteralGenericAlias(typing._GenericAlias, _root=True):
+        def __eq__(self, other):
+            if not isinstance(other, _LiteralGenericAlias):
+                return NotImplemented
+            these_args_deduped = set(_value_and_type_iter(self.__args__))
+            other_args_deduped = set(_value_and_type_iter(other.__args__))
+            return these_args_deduped == other_args_deduped
+
+        def __hash__(self):
+            return hash(frozenset(_value_and_type_iter(self.__args__)))
+
+    class _LiteralForm(_ExtensionsSpecialForm, _root=True):
+        def __init__(self, doc: str):
+            self._name = 'Literal'
+            self._doc = self.__doc__ = doc
+
+        def __getitem__(self, parameters):
+            if not isinstance(parameters, tuple):
+                parameters = (parameters,)
+
+            parameters = _flatten_literal_params(parameters)
+
+            val_type_pairs = list(_value_and_type_iter(parameters))
+            try:
+                deduped_pairs = set(val_type_pairs)
+            except TypeError:
+                # unhashable parameters
+                pass
+            else:
+                # similar logic to typing._deduplicate on Python 3.9+
+                if len(deduped_pairs) < len(val_type_pairs):
+                    new_parameters = []
+                    for pair in val_type_pairs:
+                        if pair in deduped_pairs:
+                            new_parameters.append(pair[0])
+                            deduped_pairs.remove(pair)
+                    assert not deduped_pairs, deduped_pairs
+                    parameters = tuple(new_parameters)
+
+            return _LiteralGenericAlias(self, parameters)
+
+    Literal = _LiteralForm(doc="""\
+                           A type that can be used to indicate to type checkers
+                           that the corresponding value has a value literally equivalent
+                           to the provided parameter. For example:
+
+                               var: Literal[4] = 4
+
+                           The type checker understands that 'var' is literally equal to
+                           the value 4 and no other value.
+
+                           Literal[...] cannot be subclassed. There is no runtime
+                           checking verifying that the parameter is actually a value
+                           instead of a type.""")
+
+
+_overload_dummy = typing._overload_dummy
+
+
+if hasattr(typing, "get_overloads"):  # 3.11+
+    overload = typing.overload
+    get_overloads = typing.get_overloads
+    clear_overloads = typing.clear_overloads
+else:
+    # {module: {qualname: {firstlineno: func}}}
+    _overload_registry = collections.defaultdict(
+        functools.partial(collections.defaultdict, dict)
+    )
+
+    def overload(func):
+        """Decorator for overloaded functions/methods.
+
+        In a stub file, place two or more stub definitions for the same
+        function in a row, each decorated with @overload.  For example:
+
+        @overload
+        def utf8(value: None) -> None: ...
+        @overload
+        def utf8(value: bytes) -> bytes: ...
+        @overload
+        def utf8(value: str) -> bytes: ...
+
+        In a non-stub file (i.e. a regular .py file), do the same but
+        follow it with an implementation.  The implementation should *not*
+        be decorated with @overload.  For example:
+
+        @overload
+        def utf8(value: None) -> None: ...
+        @overload
+        def utf8(value: bytes) -> bytes: ...
+        @overload
+        def utf8(value: str) -> bytes: ...
+        def utf8(value):
+            # implementation goes here
+
+        The overloads for a function can be retrieved at runtime using the
+        get_overloads() function.
+        """
+        # classmethod and staticmethod
+        f = getattr(func, "__func__", func)
+        try:
+            _overload_registry[f.__module__][f.__qualname__][
+                f.__code__.co_firstlineno
+            ] = func
+        except AttributeError:
+            # Not a normal function; ignore.
+            pass
+        return _overload_dummy
+
+    def get_overloads(func):
+        """Return all defined overloads for *func* as a sequence."""
+        # classmethod and staticmethod
+        f = getattr(func, "__func__", func)
+        if f.__module__ not in _overload_registry:
+            return []
+        mod_dict = _overload_registry[f.__module__]
+        if f.__qualname__ not in mod_dict:
+            return []
+        return list(mod_dict[f.__qualname__].values())
+
+    def clear_overloads():
+        """Clear all overloads in the registry."""
+        _overload_registry.clear()
+
+
+# This is not a real generic class.  Don't use outside annotations.
+Type = typing.Type
+
+# Various ABCs mimicking those in collections.abc.
+# A few are simply re-exported for completeness.
+Awaitable = typing.Awaitable
+Coroutine = typing.Coroutine
+AsyncIterable = typing.AsyncIterable
+AsyncIterator = typing.AsyncIterator
+Deque = typing.Deque
+DefaultDict = typing.DefaultDict
+OrderedDict = typing.OrderedDict
+Counter = typing.Counter
+ChainMap = typing.ChainMap
+Text = typing.Text
+TYPE_CHECKING = typing.TYPE_CHECKING
+
+
+if sys.version_info >= (3, 13, 0, "beta"):
+    from typing import AsyncContextManager, AsyncGenerator, ContextManager, Generator
+else:
+    def _is_dunder(attr):
+        return attr.startswith('__') and attr.endswith('__')
+
+    # Python <3.9 doesn't have typing._SpecialGenericAlias
+    _special_generic_alias_base = getattr(
+        typing, "_SpecialGenericAlias", typing._GenericAlias
+    )
+
+    class _SpecialGenericAlias(_special_generic_alias_base, _root=True):
+        def __init__(self, origin, nparams, *, inst=True, name=None, defaults=()):
+            if _special_generic_alias_base is typing._GenericAlias:
+                # Python <3.9
+                self.__origin__ = origin
+                self._nparams = nparams
+                super().__init__(origin, nparams, special=True, inst=inst, name=name)
+            else:
+                # Python >= 3.9
+                super().__init__(origin, nparams, inst=inst, name=name)
+            self._defaults = defaults
+
+        def __setattr__(self, attr, val):
+            allowed_attrs = {'_name', '_inst', '_nparams', '_defaults'}
+            if _special_generic_alias_base is typing._GenericAlias:
+                # Python <3.9
+                allowed_attrs.add("__origin__")
+            if _is_dunder(attr) or attr in allowed_attrs:
+                object.__setattr__(self, attr, val)
+            else:
+                setattr(self.__origin__, attr, val)
+
+        @typing._tp_cache
+        def __getitem__(self, params):
+            if not isinstance(params, tuple):
+                params = (params,)
+            msg = "Parameters to generic types must be types."
+            params = tuple(typing._type_check(p, msg) for p in params)
+            if (
+                self._defaults
+                and len(params) < self._nparams
+                and len(params) + len(self._defaults) >= self._nparams
+            ):
+                params = (*params, *self._defaults[len(params) - self._nparams:])
+            actual_len = len(params)
+
+            if actual_len != self._nparams:
+                if self._defaults:
+                    expected = f"at least {self._nparams - len(self._defaults)}"
+                else:
+                    expected = str(self._nparams)
+                if not self._nparams:
+                    raise TypeError(f"{self} is not a generic class")
+                raise TypeError(
+                    f"Too {'many' if actual_len > self._nparams else 'few'}"
+                    f" arguments for {self};"
+                    f" actual {actual_len}, expected {expected}"
+                )
+            return self.copy_with(params)
+
+    _NoneType = type(None)
+    Generator = _SpecialGenericAlias(
+        collections.abc.Generator, 3, defaults=(_NoneType, _NoneType)
+    )
+    AsyncGenerator = _SpecialGenericAlias(
+        collections.abc.AsyncGenerator, 2, defaults=(_NoneType,)
+    )
+    ContextManager = _SpecialGenericAlias(
+        contextlib.AbstractContextManager,
+        2,
+        name="ContextManager",
+        defaults=(typing.Optional[bool],)
+    )
+    AsyncContextManager = _SpecialGenericAlias(
+        contextlib.AbstractAsyncContextManager,
+        2,
+        name="AsyncContextManager",
+        defaults=(typing.Optional[bool],)
+    )
+
+
+_PROTO_ALLOWLIST = {
+    'collections.abc': [
+        'Callable', 'Awaitable', 'Iterable', 'Iterator', 'AsyncIterable',
+        'Hashable', 'Sized', 'Container', 'Collection', 'Reversible', 'Buffer',
+    ],
+    'contextlib': ['AbstractContextManager', 'AbstractAsyncContextManager'],
+    'typing_extensions': ['Buffer'],
+}
+
+
+_EXCLUDED_ATTRS = frozenset(typing.EXCLUDED_ATTRIBUTES) | {
+    "__match_args__", "__protocol_attrs__", "__non_callable_proto_members__",
+    "__final__",
+}
+
+
+def _get_protocol_attrs(cls):
+    attrs = set()
+    for base in cls.__mro__[:-1]:  # without object
+        if base.__name__ in {'Protocol', 'Generic'}:
+            continue
+        annotations = getattr(base, '__annotations__', {})
+        for attr in (*base.__dict__, *annotations):
+            if (not attr.startswith('_abc_') and attr not in _EXCLUDED_ATTRS):
+                attrs.add(attr)
+    return attrs
+
+
+def _caller(depth=2):
+    try:
+        return sys._getframe(depth).f_globals.get('__name__', '__main__')
+    except (AttributeError, ValueError):  # For platforms without _getframe()
+        return None
+
+
+# `__match_args__` attribute was removed from protocol members in 3.13,
+# we want to backport this change to older Python versions.
+if sys.version_info >= (3, 13):
+    Protocol = typing.Protocol
+else:
+    def _allow_reckless_class_checks(depth=3):
+        """Allow instance and class checks for special stdlib modules.
+        The abc and functools modules indiscriminately call isinstance() and
+        issubclass() on the whole MRO of a user class, which may contain protocols.
+        """
+        return _caller(depth) in {'abc', 'functools', None}
+
+    def _no_init(self, *args, **kwargs):
+        if type(self)._is_protocol:
+            raise TypeError('Protocols cannot be instantiated')
+
+    def _type_check_issubclass_arg_1(arg):
+        """Raise TypeError if `arg` is not an instance of `type`
+        in `issubclass(arg, )`.
+
+        In most cases, this is verified by type.__subclasscheck__.
+        Checking it again unnecessarily would slow down issubclass() checks,
+        so, we don't perform this check unless we absolutely have to.
+
+        For various error paths, however,
+        we want to ensure that *this* error message is shown to the user
+        where relevant, rather than a typing.py-specific error message.
+        """
+        if not isinstance(arg, type):
+            # Same error message as for issubclass(1, int).
+            raise TypeError('issubclass() arg 1 must be a class')
+
+    # Inheriting from typing._ProtocolMeta isn't actually desirable,
+    # but is necessary to allow typing.Protocol and typing_extensions.Protocol
+    # to mix without getting TypeErrors about "metaclass conflict"
+    class _ProtocolMeta(type(typing.Protocol)):
+        # This metaclass is somewhat unfortunate,
+        # but is necessary for several reasons...
+        #
+        # NOTE: DO NOT call super() in any methods in this class
+        # That would call the methods on typing._ProtocolMeta on Python 3.8-3.11
+        # and those are slow
+        def __new__(mcls, name, bases, namespace, **kwargs):
+            if name == "Protocol" and len(bases) < 2:
+                pass
+            elif {Protocol, typing.Protocol} & set(bases):
+                for base in bases:
+                    if not (
+                        base in {object, typing.Generic, Protocol, typing.Protocol}
+                        or base.__name__ in _PROTO_ALLOWLIST.get(base.__module__, [])
+                        or is_protocol(base)
+                    ):
+                        raise TypeError(
+                            f"Protocols can only inherit from other protocols, "
+                            f"got {base!r}"
+                        )
+            return abc.ABCMeta.__new__(mcls, name, bases, namespace, **kwargs)
+
+        def __init__(cls, *args, **kwargs):
+            abc.ABCMeta.__init__(cls, *args, **kwargs)
+            if getattr(cls, "_is_protocol", False):
+                cls.__protocol_attrs__ = _get_protocol_attrs(cls)
+
+        def __subclasscheck__(cls, other):
+            if cls is Protocol:
+                return type.__subclasscheck__(cls, other)
+            if (
+                getattr(cls, '_is_protocol', False)
+                and not _allow_reckless_class_checks()
+            ):
+                if not getattr(cls, '_is_runtime_protocol', False):
+                    _type_check_issubclass_arg_1(other)
+                    raise TypeError(
+                        "Instance and class checks can only be used with "
+                        "@runtime_checkable protocols"
+                    )
+                if (
+                    # this attribute is set by @runtime_checkable:
+                    cls.__non_callable_proto_members__
+                    and cls.__dict__.get("__subclasshook__") is _proto_hook
+                ):
+                    _type_check_issubclass_arg_1(other)
+                    non_method_attrs = sorted(cls.__non_callable_proto_members__)
+                    raise TypeError(
+                        "Protocols with non-method members don't support issubclass()."
+                        f" Non-method members: {str(non_method_attrs)[1:-1]}."
+                    )
+            return abc.ABCMeta.__subclasscheck__(cls, other)
+
+        def __instancecheck__(cls, instance):
+            # We need this method for situations where attributes are
+            # assigned in __init__.
+            if cls is Protocol:
+                return type.__instancecheck__(cls, instance)
+            if not getattr(cls, "_is_protocol", False):
+                # i.e., it's a concrete subclass of a protocol
+                return abc.ABCMeta.__instancecheck__(cls, instance)
+
+            if (
+                not getattr(cls, '_is_runtime_protocol', False) and
+                not _allow_reckless_class_checks()
+            ):
+                raise TypeError("Instance and class checks can only be used with"
+                                " @runtime_checkable protocols")
+
+            if abc.ABCMeta.__instancecheck__(cls, instance):
+                return True
+
+            for attr in cls.__protocol_attrs__:
+                try:
+                    val = inspect.getattr_static(instance, attr)
+                except AttributeError:
+                    break
+                # this attribute is set by @runtime_checkable:
+                if val is None and attr not in cls.__non_callable_proto_members__:
+                    break
+            else:
+                return True
+
+            return False
+
+        def __eq__(cls, other):
+            # Hack so that typing.Generic.__class_getitem__
+            # treats typing_extensions.Protocol
+            # as equivalent to typing.Protocol
+            if abc.ABCMeta.__eq__(cls, other) is True:
+                return True
+            return cls is Protocol and other is typing.Protocol
+
+        # This has to be defined, or the abc-module cache
+        # complains about classes with this metaclass being unhashable,
+        # if we define only __eq__!
+        def __hash__(cls) -> int:
+            return type.__hash__(cls)
+
+    @classmethod
+    def _proto_hook(cls, other):
+        if not cls.__dict__.get('_is_protocol', False):
+            return NotImplemented
+
+        for attr in cls.__protocol_attrs__:
+            for base in other.__mro__:
+                # Check if the members appears in the class dictionary...
+                if attr in base.__dict__:
+                    if base.__dict__[attr] is None:
+                        return NotImplemented
+                    break
+
+                # ...or in annotations, if it is a sub-protocol.
+                annotations = getattr(base, '__annotations__', {})
+                if (
+                    isinstance(annotations, collections.abc.Mapping)
+                    and attr in annotations
+                    and is_protocol(other)
+                ):
+                    break
+            else:
+                return NotImplemented
+        return True
+
+    class Protocol(typing.Generic, metaclass=_ProtocolMeta):
+        __doc__ = typing.Protocol.__doc__
+        __slots__ = ()
+        _is_protocol = True
+        _is_runtime_protocol = False
+
+        def __init_subclass__(cls, *args, **kwargs):
+            super().__init_subclass__(*args, **kwargs)
+
+            # Determine if this is a protocol or a concrete subclass.
+            if not cls.__dict__.get('_is_protocol', False):
+                cls._is_protocol = any(b is Protocol for b in cls.__bases__)
+
+            # Set (or override) the protocol subclass hook.
+            if '__subclasshook__' not in cls.__dict__:
+                cls.__subclasshook__ = _proto_hook
+
+            # Prohibit instantiation for protocol classes
+            if cls._is_protocol and cls.__init__ is Protocol.__init__:
+                cls.__init__ = _no_init
+
+
+if sys.version_info >= (3, 13):
+    runtime_checkable = typing.runtime_checkable
+else:
+    def runtime_checkable(cls):
+        """Mark a protocol class as a runtime protocol.
+
+        Such protocol can be used with isinstance() and issubclass().
+        Raise TypeError if applied to a non-protocol class.
+        This allows a simple-minded structural check very similar to
+        one trick ponies in collections.abc such as Iterable.
+
+        For example::
+
+            @runtime_checkable
+            class Closable(Protocol):
+                def close(self): ...
+
+            assert isinstance(open('/some/file'), Closable)
+
+        Warning: this will check only the presence of the required methods,
+        not their type signatures!
+        """
+        if not issubclass(cls, typing.Generic) or not getattr(cls, '_is_protocol', False):
+            raise TypeError(f'@runtime_checkable can be only applied to protocol classes,'
+                            f' got {cls!r}')
+        cls._is_runtime_protocol = True
+
+        # typing.Protocol classes on <=3.11 break if we execute this block,
+        # because typing.Protocol classes on <=3.11 don't have a
+        # `__protocol_attrs__` attribute, and this block relies on the
+        # `__protocol_attrs__` attribute. Meanwhile, typing.Protocol classes on 3.12.2+
+        # break if we *don't* execute this block, because *they* assume that all
+        # protocol classes have a `__non_callable_proto_members__` attribute
+        # (which this block sets)
+        if isinstance(cls, _ProtocolMeta) or sys.version_info >= (3, 12, 2):
+            # PEP 544 prohibits using issubclass()
+            # with protocols that have non-method members.
+            # See gh-113320 for why we compute this attribute here,
+            # rather than in `_ProtocolMeta.__init__`
+            cls.__non_callable_proto_members__ = set()
+            for attr in cls.__protocol_attrs__:
+                try:
+                    is_callable = callable(getattr(cls, attr, None))
+                except Exception as e:
+                    raise TypeError(
+                        f"Failed to determine whether protocol member {attr!r} "
+                        "is a method member"
+                    ) from e
+                else:
+                    if not is_callable:
+                        cls.__non_callable_proto_members__.add(attr)
+
+        return cls
+
+
+# The "runtime" alias exists for backwards compatibility.
+runtime = runtime_checkable
+
+
+# Our version of runtime-checkable protocols is faster on Python 3.8-3.11
+if sys.version_info >= (3, 12):
+    SupportsInt = typing.SupportsInt
+    SupportsFloat = typing.SupportsFloat
+    SupportsComplex = typing.SupportsComplex
+    SupportsBytes = typing.SupportsBytes
+    SupportsIndex = typing.SupportsIndex
+    SupportsAbs = typing.SupportsAbs
+    SupportsRound = typing.SupportsRound
+else:
+    @runtime_checkable
+    class SupportsInt(Protocol):
+        """An ABC with one abstract method __int__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __int__(self) -> int:
+            pass
+
+    @runtime_checkable
+    class SupportsFloat(Protocol):
+        """An ABC with one abstract method __float__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __float__(self) -> float:
+            pass
+
+    @runtime_checkable
+    class SupportsComplex(Protocol):
+        """An ABC with one abstract method __complex__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __complex__(self) -> complex:
+            pass
+
+    @runtime_checkable
+    class SupportsBytes(Protocol):
+        """An ABC with one abstract method __bytes__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __bytes__(self) -> bytes:
+            pass
+
+    @runtime_checkable
+    class SupportsIndex(Protocol):
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __index__(self) -> int:
+            pass
+
+    @runtime_checkable
+    class SupportsAbs(Protocol[T_co]):
+        """
+        An ABC with one abstract method __abs__ that is covariant in its return type.
+        """
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __abs__(self) -> T_co:
+            pass
+
+    @runtime_checkable
+    class SupportsRound(Protocol[T_co]):
+        """
+        An ABC with one abstract method __round__ that is covariant in its return type.
+        """
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __round__(self, ndigits: int = 0) -> T_co:
+            pass
+
+
+def _ensure_subclassable(mro_entries):
+    def inner(func):
+        if sys.implementation.name == "pypy" and sys.version_info < (3, 9):
+            cls_dict = {
+                "__call__": staticmethod(func),
+                "__mro_entries__": staticmethod(mro_entries)
+            }
+            t = type(func.__name__, (), cls_dict)
+            return functools.update_wrapper(t(), func)
+        else:
+            func.__mro_entries__ = mro_entries
+            return func
+    return inner
+
+
+# Update this to something like >=3.13.0b1 if and when
+# PEP 728 is implemented in CPython
+_PEP_728_IMPLEMENTED = False
+
+if _PEP_728_IMPLEMENTED:
+    # The standard library TypedDict in Python 3.8 does not store runtime information
+    # about which (if any) keys are optional.  See https://bugs.python.org/issue38834
+    # The standard library TypedDict in Python 3.9.0/1 does not honour the "total"
+    # keyword with old-style TypedDict().  See https://bugs.python.org/issue42059
+    # The standard library TypedDict below Python 3.11 does not store runtime
+    # information about optional and required keys when using Required or NotRequired.
+    # Generic TypedDicts are also impossible using typing.TypedDict on Python <3.11.
+    # Aaaand on 3.12 we add __orig_bases__ to TypedDict
+    # to enable better runtime introspection.
+    # On 3.13 we deprecate some odd ways of creating TypedDicts.
+    # Also on 3.13, PEP 705 adds the ReadOnly[] qualifier.
+    # PEP 728 (still pending) makes more changes.
+    TypedDict = typing.TypedDict
+    _TypedDictMeta = typing._TypedDictMeta
+    is_typeddict = typing.is_typeddict
+else:
+    # 3.10.0 and later
+    _TAKES_MODULE = "module" in inspect.signature(typing._type_check).parameters
+
+    def _get_typeddict_qualifiers(annotation_type):
+        while True:
+            annotation_origin = get_origin(annotation_type)
+            if annotation_origin is Annotated:
+                annotation_args = get_args(annotation_type)
+                if annotation_args:
+                    annotation_type = annotation_args[0]
+                else:
+                    break
+            elif annotation_origin is Required:
+                yield Required
+                annotation_type, = get_args(annotation_type)
+            elif annotation_origin is NotRequired:
+                yield NotRequired
+                annotation_type, = get_args(annotation_type)
+            elif annotation_origin is ReadOnly:
+                yield ReadOnly
+                annotation_type, = get_args(annotation_type)
+            else:
+                break
+
+    class _TypedDictMeta(type):
+        def __new__(cls, name, bases, ns, *, total=True, closed=False):
+            """Create new typed dict class object.
+
+            This method is called when TypedDict is subclassed,
+            or when TypedDict is instantiated. This way
+            TypedDict supports all three syntax forms described in its docstring.
+            Subclasses and instances of TypedDict return actual dictionaries.
+            """
+            for base in bases:
+                if type(base) is not _TypedDictMeta and base is not typing.Generic:
+                    raise TypeError('cannot inherit from both a TypedDict type '
+                                    'and a non-TypedDict base class')
+
+            if any(issubclass(b, typing.Generic) for b in bases):
+                generic_base = (typing.Generic,)
+            else:
+                generic_base = ()
+
+            # typing.py generally doesn't let you inherit from plain Generic, unless
+            # the name of the class happens to be "Protocol"
+            tp_dict = type.__new__(_TypedDictMeta, "Protocol", (*generic_base, dict), ns)
+            tp_dict.__name__ = name
+            if tp_dict.__qualname__ == "Protocol":
+                tp_dict.__qualname__ = name
+
+            if not hasattr(tp_dict, '__orig_bases__'):
+                tp_dict.__orig_bases__ = bases
+
+            annotations = {}
+            if "__annotations__" in ns:
+                own_annotations = ns["__annotations__"]
+            elif "__annotate__" in ns:
+                # TODO: Use inspect.VALUE here, and make the annotations lazily evaluated
+                own_annotations = ns["__annotate__"](1)
+            else:
+                own_annotations = {}
+            msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type"
+            if _TAKES_MODULE:
+                own_annotations = {
+                    n: typing._type_check(tp, msg, module=tp_dict.__module__)
+                    for n, tp in own_annotations.items()
+                }
+            else:
+                own_annotations = {
+                    n: typing._type_check(tp, msg)
+                    for n, tp in own_annotations.items()
+                }
+            required_keys = set()
+            optional_keys = set()
+            readonly_keys = set()
+            mutable_keys = set()
+            extra_items_type = None
+
+            for base in bases:
+                base_dict = base.__dict__
+
+                annotations.update(base_dict.get('__annotations__', {}))
+                required_keys.update(base_dict.get('__required_keys__', ()))
+                optional_keys.update(base_dict.get('__optional_keys__', ()))
+                readonly_keys.update(base_dict.get('__readonly_keys__', ()))
+                mutable_keys.update(base_dict.get('__mutable_keys__', ()))
+                base_extra_items_type = base_dict.get('__extra_items__', None)
+                if base_extra_items_type is not None:
+                    extra_items_type = base_extra_items_type
+
+            if closed and extra_items_type is None:
+                extra_items_type = Never
+            if closed and "__extra_items__" in own_annotations:
+                annotation_type = own_annotations.pop("__extra_items__")
+                qualifiers = set(_get_typeddict_qualifiers(annotation_type))
+                if Required in qualifiers:
+                    raise TypeError(
+                        "Special key __extra_items__ does not support "
+                        "Required"
+                    )
+                if NotRequired in qualifiers:
+                    raise TypeError(
+                        "Special key __extra_items__ does not support "
+                        "NotRequired"
+                    )
+                extra_items_type = annotation_type
+
+            annotations.update(own_annotations)
+            for annotation_key, annotation_type in own_annotations.items():
+                qualifiers = set(_get_typeddict_qualifiers(annotation_type))
+
+                if Required in qualifiers:
+                    required_keys.add(annotation_key)
+                elif NotRequired in qualifiers:
+                    optional_keys.add(annotation_key)
+                elif total:
+                    required_keys.add(annotation_key)
+                else:
+                    optional_keys.add(annotation_key)
+                if ReadOnly in qualifiers:
+                    mutable_keys.discard(annotation_key)
+                    readonly_keys.add(annotation_key)
+                else:
+                    mutable_keys.add(annotation_key)
+                    readonly_keys.discard(annotation_key)
+
+            tp_dict.__annotations__ = annotations
+            tp_dict.__required_keys__ = frozenset(required_keys)
+            tp_dict.__optional_keys__ = frozenset(optional_keys)
+            tp_dict.__readonly_keys__ = frozenset(readonly_keys)
+            tp_dict.__mutable_keys__ = frozenset(mutable_keys)
+            if not hasattr(tp_dict, '__total__'):
+                tp_dict.__total__ = total
+            tp_dict.__closed__ = closed
+            tp_dict.__extra_items__ = extra_items_type
+            return tp_dict
+
+        __call__ = dict  # static method
+
+        def __subclasscheck__(cls, other):
+            # Typed dicts are only for static structural subtyping.
+            raise TypeError('TypedDict does not support instance and class checks')
+
+        __instancecheck__ = __subclasscheck__
+
+    _TypedDict = type.__new__(_TypedDictMeta, 'TypedDict', (), {})
+
+    @_ensure_subclassable(lambda bases: (_TypedDict,))
+    def TypedDict(typename, fields=_marker, /, *, total=True, closed=False, **kwargs):
+        """A simple typed namespace. At runtime it is equivalent to a plain dict.
+
+        TypedDict creates a dictionary type such that a type checker will expect all
+        instances to have a certain set of keys, where each key is
+        associated with a value of a consistent type. This expectation
+        is not checked at runtime.
+
+        Usage::
+
+            class Point2D(TypedDict):
+                x: int
+                y: int
+                label: str
+
+            a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
+            b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check
+
+            assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
+
+        The type info can be accessed via the Point2D.__annotations__ dict, and
+        the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets.
+        TypedDict supports an additional equivalent form::
+
+            Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})
+
+        By default, all keys must be present in a TypedDict. It is possible
+        to override this by specifying totality::
+
+            class Point2D(TypedDict, total=False):
+                x: int
+                y: int
+
+        This means that a Point2D TypedDict can have any of the keys omitted. A type
+        checker is only expected to support a literal False or True as the value of
+        the total argument. True is the default, and makes all items defined in the
+        class body be required.
+
+        The Required and NotRequired special forms can also be used to mark
+        individual keys as being required or not required::
+
+            class Point2D(TypedDict):
+                x: int  # the "x" key must always be present (Required is the default)
+                y: NotRequired[int]  # the "y" key can be omitted
+
+        See PEP 655 for more details on Required and NotRequired.
+        """
+        if fields is _marker or fields is None:
+            if fields is _marker:
+                deprecated_thing = "Failing to pass a value for the 'fields' parameter"
+            else:
+                deprecated_thing = "Passing `None` as the 'fields' parameter"
+
+            example = f"`{typename} = TypedDict({typename!r}, {{}})`"
+            deprecation_msg = (
+                f"{deprecated_thing} is deprecated and will be disallowed in "
+                "Python 3.15. To create a TypedDict class with 0 fields "
+                "using the functional syntax, pass an empty dictionary, e.g. "
+            ) + example + "."
+            warnings.warn(deprecation_msg, DeprecationWarning, stacklevel=2)
+            if closed is not False and closed is not True:
+                kwargs["closed"] = closed
+                closed = False
+            fields = kwargs
+        elif kwargs:
+            raise TypeError("TypedDict takes either a dict or keyword arguments,"
+                            " but not both")
+        if kwargs:
+            if sys.version_info >= (3, 13):
+                raise TypeError("TypedDict takes no keyword arguments")
+            warnings.warn(
+                "The kwargs-based syntax for TypedDict definitions is deprecated "
+                "in Python 3.11, will be removed in Python 3.13, and may not be "
+                "understood by third-party type checkers.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+
+        ns = {'__annotations__': dict(fields)}
+        module = _caller()
+        if module is not None:
+            # Setting correct module is necessary to make typed dict classes pickleable.
+            ns['__module__'] = module
+
+        td = _TypedDictMeta(typename, (), ns, total=total, closed=closed)
+        td.__orig_bases__ = (TypedDict,)
+        return td
+
+    if hasattr(typing, "_TypedDictMeta"):
+        _TYPEDDICT_TYPES = (typing._TypedDictMeta, _TypedDictMeta)
+    else:
+        _TYPEDDICT_TYPES = (_TypedDictMeta,)
+
+    def is_typeddict(tp):
+        """Check if an annotation is a TypedDict class
+
+        For example::
+            class Film(TypedDict):
+                title: str
+                year: int
+
+            is_typeddict(Film)  # => True
+            is_typeddict(Union[list, str])  # => False
+        """
+        # On 3.8, this would otherwise return True
+        if hasattr(typing, "TypedDict") and tp is typing.TypedDict:
+            return False
+        return isinstance(tp, _TYPEDDICT_TYPES)
+
+
+if hasattr(typing, "assert_type"):
+    assert_type = typing.assert_type
+
+else:
+    def assert_type(val, typ, /):
+        """Assert (to the type checker) that the value is of the given type.
+
+        When the type checker encounters a call to assert_type(), it
+        emits an error if the value is not of the specified type::
+
+            def greet(name: str) -> None:
+                assert_type(name, str)  # ok
+                assert_type(name, int)  # type checker error
+
+        At runtime this returns the first argument unchanged and otherwise
+        does nothing.
+        """
+        return val
+
+
+if hasattr(typing, "ReadOnly"):  # 3.13+
+    get_type_hints = typing.get_type_hints
+else:  # <=3.13
+    # replaces _strip_annotations()
+    def _strip_extras(t):
+        """Strips Annotated, Required and NotRequired from a given type."""
+        if isinstance(t, _AnnotatedAlias):
+            return _strip_extras(t.__origin__)
+        if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired, ReadOnly):
+            return _strip_extras(t.__args__[0])
+        if isinstance(t, typing._GenericAlias):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return t.copy_with(stripped_args)
+        if hasattr(_types, "GenericAlias") and isinstance(t, _types.GenericAlias):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return _types.GenericAlias(t.__origin__, stripped_args)
+        if hasattr(_types, "UnionType") and isinstance(t, _types.UnionType):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return functools.reduce(operator.or_, stripped_args)
+
+        return t
+
+    def get_type_hints(obj, globalns=None, localns=None, include_extras=False):
+        """Return type hints for an object.
+
+        This is often the same as obj.__annotations__, but it handles
+        forward references encoded as string literals, adds Optional[t] if a
+        default value equal to None is set and recursively replaces all
+        'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T'
+        (unless 'include_extras=True').
+
+        The argument may be a module, class, method, or function. The annotations
+        are returned as a dictionary. For classes, annotations include also
+        inherited members.
+
+        TypeError is raised if the argument is not of a type that can contain
+        annotations, and an empty dictionary is returned if no annotations are
+        present.
+
+        BEWARE -- the behavior of globalns and localns is counterintuitive
+        (unless you are familiar with how eval() and exec() work).  The
+        search order is locals first, then globals.
+
+        - If no dict arguments are passed, an attempt is made to use the
+          globals from obj (or the respective module's globals for classes),
+          and these are also used as the locals.  If the object does not appear
+          to have globals, an empty dictionary is used.
+
+        - If one dict argument is passed, it is used for both globals and
+          locals.
+
+        - If two dict arguments are passed, they specify globals and
+          locals, respectively.
+        """
+        if hasattr(typing, "Annotated"):  # 3.9+
+            hint = typing.get_type_hints(
+                obj, globalns=globalns, localns=localns, include_extras=True
+            )
+        else:  # 3.8
+            hint = typing.get_type_hints(obj, globalns=globalns, localns=localns)
+        if include_extras:
+            return hint
+        return {k: _strip_extras(t) for k, t in hint.items()}
+
+
+# Python 3.9+ has PEP 593 (Annotated)
+if hasattr(typing, 'Annotated'):
+    Annotated = typing.Annotated
+    # Not exported and not a public API, but needed for get_origin() and get_args()
+    # to work.
+    _AnnotatedAlias = typing._AnnotatedAlias
+# 3.8
+else:
+    class _AnnotatedAlias(typing._GenericAlias, _root=True):
+        """Runtime representation of an annotated type.
+
+        At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't'
+        with extra annotations. The alias behaves like a normal typing alias,
+        instantiating is the same as instantiating the underlying type, binding
+        it to types is also the same.
+        """
+        def __init__(self, origin, metadata):
+            if isinstance(origin, _AnnotatedAlias):
+                metadata = origin.__metadata__ + metadata
+                origin = origin.__origin__
+            super().__init__(origin, origin)
+            self.__metadata__ = metadata
+
+        def copy_with(self, params):
+            assert len(params) == 1
+            new_type = params[0]
+            return _AnnotatedAlias(new_type, self.__metadata__)
+
+        def __repr__(self):
+            return (f"typing_extensions.Annotated[{typing._type_repr(self.__origin__)}, "
+                    f"{', '.join(repr(a) for a in self.__metadata__)}]")
+
+        def __reduce__(self):
+            return operator.getitem, (
+                Annotated, (self.__origin__, *self.__metadata__)
+            )
+
+        def __eq__(self, other):
+            if not isinstance(other, _AnnotatedAlias):
+                return NotImplemented
+            if self.__origin__ != other.__origin__:
+                return False
+            return self.__metadata__ == other.__metadata__
+
+        def __hash__(self):
+            return hash((self.__origin__, self.__metadata__))
+
+    class Annotated:
+        """Add context specific metadata to a type.
+
+        Example: Annotated[int, runtime_check.Unsigned] indicates to the
+        hypothetical runtime_check module that this type is an unsigned int.
+        Every other consumer of this type can ignore this metadata and treat
+        this type as int.
+
+        The first argument to Annotated must be a valid type (and will be in
+        the __origin__ field), the remaining arguments are kept as a tuple in
+        the __extra__ field.
+
+        Details:
+
+        - It's an error to call `Annotated` with less than two arguments.
+        - Nested Annotated are flattened::
+
+            Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
+
+        - Instantiating an annotated type is equivalent to instantiating the
+        underlying type::
+
+            Annotated[C, Ann1](5) == C(5)
+
+        - Annotated can be used as a generic type alias::
+
+            Optimized = Annotated[T, runtime.Optimize()]
+            Optimized[int] == Annotated[int, runtime.Optimize()]
+
+            OptimizedList = Annotated[List[T], runtime.Optimize()]
+            OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
+        """
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwargs):
+            raise TypeError("Type Annotated cannot be instantiated.")
+
+        @typing._tp_cache
+        def __class_getitem__(cls, params):
+            if not isinstance(params, tuple) or len(params) < 2:
+                raise TypeError("Annotated[...] should be used "
+                                "with at least two arguments (a type and an "
+                                "annotation).")
+            allowed_special_forms = (ClassVar, Final)
+            if get_origin(params[0]) in allowed_special_forms:
+                origin = params[0]
+            else:
+                msg = "Annotated[t, ...]: t must be a type."
+                origin = typing._type_check(params[0], msg)
+            metadata = tuple(params[1:])
+            return _AnnotatedAlias(origin, metadata)
+
+        def __init_subclass__(cls, *args, **kwargs):
+            raise TypeError(
+                f"Cannot subclass {cls.__module__}.Annotated"
+            )
+
+# Python 3.8 has get_origin() and get_args() but those implementations aren't
+# Annotated-aware, so we can't use those. Python 3.9's versions don't support
+# ParamSpecArgs and ParamSpecKwargs, so only Python 3.10's versions will do.
+if sys.version_info[:2] >= (3, 10):
+    get_origin = typing.get_origin
+    get_args = typing.get_args
+# 3.8-3.9
+else:
+    try:
+        # 3.9+
+        from typing import _BaseGenericAlias
+    except ImportError:
+        _BaseGenericAlias = typing._GenericAlias
+    try:
+        # 3.9+
+        from typing import GenericAlias as _typing_GenericAlias
+    except ImportError:
+        _typing_GenericAlias = typing._GenericAlias
+
+    def get_origin(tp):
+        """Get the unsubscripted version of a type.
+
+        This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar
+        and Annotated. Return None for unsupported types. Examples::
+
+            get_origin(Literal[42]) is Literal
+            get_origin(int) is None
+            get_origin(ClassVar[int]) is ClassVar
+            get_origin(Generic) is Generic
+            get_origin(Generic[T]) is Generic
+            get_origin(Union[T, int]) is Union
+            get_origin(List[Tuple[T, T]][int]) == list
+            get_origin(P.args) is P
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return Annotated
+        if isinstance(tp, (typing._GenericAlias, _typing_GenericAlias, _BaseGenericAlias,
+                           ParamSpecArgs, ParamSpecKwargs)):
+            return tp.__origin__
+        if tp is typing.Generic:
+            return typing.Generic
+        return None
+
+    def get_args(tp):
+        """Get type arguments with all substitutions performed.
+
+        For unions, basic simplifications used by Union constructor are performed.
+        Examples::
+            get_args(Dict[str, int]) == (str, int)
+            get_args(int) == ()
+            get_args(Union[int, Union[T, int], str][int]) == (int, str)
+            get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
+            get_args(Callable[[], T][int]) == ([], int)
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return (tp.__origin__, *tp.__metadata__)
+        if isinstance(tp, (typing._GenericAlias, _typing_GenericAlias)):
+            if getattr(tp, "_special", False):
+                return ()
+            res = tp.__args__
+            if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis:
+                res = (list(res[:-1]), res[-1])
+            return res
+        return ()
+
+
+# 3.10+
+if hasattr(typing, 'TypeAlias'):
+    TypeAlias = typing.TypeAlias
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def TypeAlias(self, parameters):
+        """Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example above.
+        """
+        raise TypeError(f"{self} is not subscriptable")
+# 3.8
+else:
+    TypeAlias = _ExtensionsSpecialForm(
+        'TypeAlias',
+        doc="""Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example
+        above."""
+    )
+
+
+if hasattr(typing, "NoDefault"):
+    NoDefault = typing.NoDefault
+else:
+    class NoDefaultTypeMeta(type):
+        def __setattr__(cls, attr, value):
+            # TypeError is consistent with the behavior of NoneType
+            raise TypeError(
+                f"cannot set {attr!r} attribute of immutable type {cls.__name__!r}"
+            )
+
+    class NoDefaultType(metaclass=NoDefaultTypeMeta):
+        """The type of the NoDefault singleton."""
+
+        __slots__ = ()
+
+        def __new__(cls):
+            return globals().get("NoDefault") or object.__new__(cls)
+
+        def __repr__(self):
+            return "typing_extensions.NoDefault"
+
+        def __reduce__(self):
+            return "NoDefault"
+
+    NoDefault = NoDefaultType()
+    del NoDefaultType, NoDefaultTypeMeta
+
+
+def _set_default(type_param, default):
+    type_param.has_default = lambda: default is not NoDefault
+    type_param.__default__ = default
+
+
+def _set_module(typevarlike):
+    # for pickling:
+    def_mod = _caller(depth=3)
+    if def_mod != 'typing_extensions':
+        typevarlike.__module__ = def_mod
+
+
+class _DefaultMixin:
+    """Mixin for TypeVarLike defaults."""
+
+    __slots__ = ()
+    __init__ = _set_default
+
+
+# Classes using this metaclass must provide a _backported_typevarlike ClassVar
+class _TypeVarLikeMeta(type):
+    def __instancecheck__(cls, __instance: Any) -> bool:
+        return isinstance(__instance, cls._backported_typevarlike)
+
+
+if _PEP_696_IMPLEMENTED:
+    from typing import TypeVar
+else:
+    # Add default and infer_variance parameters from PEP 696 and 695
+    class TypeVar(metaclass=_TypeVarLikeMeta):
+        """Type variable."""
+
+        _backported_typevarlike = typing.TypeVar
+
+        def __new__(cls, name, *constraints, bound=None,
+                    covariant=False, contravariant=False,
+                    default=NoDefault, infer_variance=False):
+            if hasattr(typing, "TypeAliasType"):
+                # PEP 695 implemented (3.12+), can pass infer_variance to typing.TypeVar
+                typevar = typing.TypeVar(name, *constraints, bound=bound,
+                                         covariant=covariant, contravariant=contravariant,
+                                         infer_variance=infer_variance)
+            else:
+                typevar = typing.TypeVar(name, *constraints, bound=bound,
+                                         covariant=covariant, contravariant=contravariant)
+                if infer_variance and (covariant or contravariant):
+                    raise ValueError("Variance cannot be specified with infer_variance.")
+                typevar.__infer_variance__ = infer_variance
+
+            _set_default(typevar, default)
+            _set_module(typevar)
+
+            def _tvar_prepare_subst(alias, args):
+                if (
+                    typevar.has_default()
+                    and alias.__parameters__.index(typevar) == len(args)
+                ):
+                    args += (typevar.__default__,)
+                return args
+
+            typevar.__typing_prepare_subst__ = _tvar_prepare_subst
+            return typevar
+
+        def __init_subclass__(cls) -> None:
+            raise TypeError(f"type '{__name__}.TypeVar' is not an acceptable base type")
+
+
+# Python 3.10+ has PEP 612
+if hasattr(typing, 'ParamSpecArgs'):
+    ParamSpecArgs = typing.ParamSpecArgs
+    ParamSpecKwargs = typing.ParamSpecKwargs
+# 3.8-3.9
+else:
+    class _Immutable:
+        """Mixin to indicate that object should not be copied."""
+        __slots__ = ()
+
+        def __copy__(self):
+            return self
+
+        def __deepcopy__(self, memo):
+            return self
+
+    class ParamSpecArgs(_Immutable):
+        """The args for a ParamSpec object.
+
+        Given a ParamSpec object P, P.args is an instance of ParamSpecArgs.
+
+        ParamSpecArgs objects have a reference back to their ParamSpec:
+
+        P.args.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return f"{self.__origin__.__name__}.args"
+
+        def __eq__(self, other):
+            if not isinstance(other, ParamSpecArgs):
+                return NotImplemented
+            return self.__origin__ == other.__origin__
+
+    class ParamSpecKwargs(_Immutable):
+        """The kwargs for a ParamSpec object.
+
+        Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs.
+
+        ParamSpecKwargs objects have a reference back to their ParamSpec:
+
+        P.kwargs.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return f"{self.__origin__.__name__}.kwargs"
+
+        def __eq__(self, other):
+            if not isinstance(other, ParamSpecKwargs):
+                return NotImplemented
+            return self.__origin__ == other.__origin__
+
+
+if _PEP_696_IMPLEMENTED:
+    from typing import ParamSpec
+
+# 3.10+
+elif hasattr(typing, 'ParamSpec'):
+
+    # Add default parameter - PEP 696
+    class ParamSpec(metaclass=_TypeVarLikeMeta):
+        """Parameter specification."""
+
+        _backported_typevarlike = typing.ParamSpec
+
+        def __new__(cls, name, *, bound=None,
+                    covariant=False, contravariant=False,
+                    infer_variance=False, default=NoDefault):
+            if hasattr(typing, "TypeAliasType"):
+                # PEP 695 implemented, can pass infer_variance to typing.TypeVar
+                paramspec = typing.ParamSpec(name, bound=bound,
+                                             covariant=covariant,
+                                             contravariant=contravariant,
+                                             infer_variance=infer_variance)
+            else:
+                paramspec = typing.ParamSpec(name, bound=bound,
+                                             covariant=covariant,
+                                             contravariant=contravariant)
+                paramspec.__infer_variance__ = infer_variance
+
+            _set_default(paramspec, default)
+            _set_module(paramspec)
+
+            def _paramspec_prepare_subst(alias, args):
+                params = alias.__parameters__
+                i = params.index(paramspec)
+                if i == len(args) and paramspec.has_default():
+                    args = [*args, paramspec.__default__]
+                if i >= len(args):
+                    raise TypeError(f"Too few arguments for {alias}")
+                # Special case where Z[[int, str, bool]] == Z[int, str, bool] in PEP 612.
+                if len(params) == 1 and not typing._is_param_expr(args[0]):
+                    assert i == 0
+                    args = (args,)
+                # Convert lists to tuples to help other libraries cache the results.
+                elif isinstance(args[i], list):
+                    args = (*args[:i], tuple(args[i]), *args[i + 1:])
+                return args
+
+            paramspec.__typing_prepare_subst__ = _paramspec_prepare_subst
+            return paramspec
+
+        def __init_subclass__(cls) -> None:
+            raise TypeError(f"type '{__name__}.ParamSpec' is not an acceptable base type")
+
+# 3.8-3.9
+else:
+
+    # Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+    class ParamSpec(list, _DefaultMixin):
+        """Parameter specification variable.
+
+        Usage::
+
+           P = ParamSpec('P')
+
+        Parameter specification variables exist primarily for the benefit of static
+        type checkers.  They are used to forward the parameter types of one
+        callable to another callable, a pattern commonly found in higher order
+        functions and decorators.  They are only valid when used in ``Concatenate``,
+        or s the first argument to ``Callable``. In Python 3.10 and higher,
+        they are also supported in user-defined Generics at runtime.
+        See class Generic for more information on generic types.  An
+        example for annotating a decorator::
+
+           T = TypeVar('T')
+           P = ParamSpec('P')
+
+           def add_logging(f: Callable[P, T]) -> Callable[P, T]:
+               '''A type-safe decorator to add logging to a function.'''
+               def inner(*args: P.args, **kwargs: P.kwargs) -> T:
+                   logging.info(f'{f.__name__} was called')
+                   return f(*args, **kwargs)
+               return inner
+
+           @add_logging
+           def add_two(x: float, y: float) -> float:
+               '''Add two numbers together.'''
+               return x + y
+
+        Parameter specification variables defined with covariant=True or
+        contravariant=True can be used to declare covariant or contravariant
+        generic types.  These keyword arguments are valid, but their actual semantics
+        are yet to be decided.  See PEP 612 for details.
+
+        Parameter specification variables can be introspected. e.g.:
+
+           P.__name__ == 'T'
+           P.__bound__ == None
+           P.__covariant__ == False
+           P.__contravariant__ == False
+
+        Note that only parameter specification variables defined in global scope can
+        be pickled.
+        """
+
+        # Trick Generic __parameters__.
+        __class__ = typing.TypeVar
+
+        @property
+        def args(self):
+            return ParamSpecArgs(self)
+
+        @property
+        def kwargs(self):
+            return ParamSpecKwargs(self)
+
+        def __init__(self, name, *, bound=None, covariant=False, contravariant=False,
+                     infer_variance=False, default=NoDefault):
+            list.__init__(self, [self])
+            self.__name__ = name
+            self.__covariant__ = bool(covariant)
+            self.__contravariant__ = bool(contravariant)
+            self.__infer_variance__ = bool(infer_variance)
+            if bound:
+                self.__bound__ = typing._type_check(bound, 'Bound must be a type.')
+            else:
+                self.__bound__ = None
+            _DefaultMixin.__init__(self, default)
+
+            # for pickling:
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+        def __repr__(self):
+            if self.__infer_variance__:
+                prefix = ''
+            elif self.__covariant__:
+                prefix = '+'
+            elif self.__contravariant__:
+                prefix = '-'
+            else:
+                prefix = '~'
+            return prefix + self.__name__
+
+        def __hash__(self):
+            return object.__hash__(self)
+
+        def __eq__(self, other):
+            return self is other
+
+        def __reduce__(self):
+            return self.__name__
+
+        # Hack to get typing._type_check to pass.
+        def __call__(self, *args, **kwargs):
+            pass
+
+
+# 3.8-3.9
+if not hasattr(typing, 'Concatenate'):
+    # Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+    class _ConcatenateGenericAlias(list):
+
+        # Trick Generic into looking into this for __parameters__.
+        __class__ = typing._GenericAlias
+
+        # Flag in 3.8.
+        _special = False
+
+        def __init__(self, origin, args):
+            super().__init__(args)
+            self.__origin__ = origin
+            self.__args__ = args
+
+        def __repr__(self):
+            _type_repr = typing._type_repr
+            return (f'{_type_repr(self.__origin__)}'
+                    f'[{", ".join(_type_repr(arg) for arg in self.__args__)}]')
+
+        def __hash__(self):
+            return hash((self.__origin__, self.__args__))
+
+        # Hack to get typing._type_check to pass in Generic.
+        def __call__(self, *args, **kwargs):
+            pass
+
+        @property
+        def __parameters__(self):
+            return tuple(
+                tp for tp in self.__args__ if isinstance(tp, (typing.TypeVar, ParamSpec))
+            )
+
+
+# 3.8-3.9
+@typing._tp_cache
+def _concatenate_getitem(self, parameters):
+    if parameters == ():
+        raise TypeError("Cannot take a Concatenate of no types.")
+    if not isinstance(parameters, tuple):
+        parameters = (parameters,)
+    if not isinstance(parameters[-1], ParamSpec):
+        raise TypeError("The last parameter to Concatenate should be a "
+                        "ParamSpec variable.")
+    msg = "Concatenate[arg, ...]: each arg must be a type."
+    parameters = tuple(typing._type_check(p, msg) for p in parameters)
+    return _ConcatenateGenericAlias(self, parameters)
+
+
+# 3.10+
+if hasattr(typing, 'Concatenate'):
+    Concatenate = typing.Concatenate
+    _ConcatenateGenericAlias = typing._ConcatenateGenericAlias
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def Concatenate(self, parameters):
+        """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """
+        return _concatenate_getitem(self, parameters)
+# 3.8
+else:
+    class _ConcatenateForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            return _concatenate_getitem(self, parameters)
+
+    Concatenate = _ConcatenateForm(
+        'Concatenate',
+        doc="""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """)
+
+# 3.10+
+if hasattr(typing, 'TypeGuard'):
+    TypeGuard = typing.TypeGuard
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def TypeGuard(self, parameters):
+        """Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """
+        item = typing._type_check(parameters, f'{self} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+# 3.8
+else:
+    class _TypeGuardForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type')
+            return typing._GenericAlias(self, (item,))
+
+    TypeGuard = _TypeGuardForm(
+        'TypeGuard',
+        doc="""Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """)
+
+# 3.13+
+if hasattr(typing, 'TypeIs'):
+    TypeIs = typing.TypeIs
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def TypeIs(self, parameters):
+        """Special typing form used to annotate the return type of a user-defined
+        type narrower function.  ``TypeIs`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeIs`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeIs[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeIs`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the intersection of the type inside ``TypeGuard`` and the argument's
+        previously known type.
+
+        For example::
+
+            def is_awaitable(val: object) -> TypeIs[Awaitable[Any]]:
+                return hasattr(val, '__await__')
+
+            def f(val: Union[int, Awaitable[int]]) -> int:
+                if is_awaitable(val):
+                    assert_type(val, Awaitable[int])
+                else:
+                    assert_type(val, int)
+
+        ``TypeIs`` also works with type variables.  For more information, see
+        PEP 742 (Narrowing types with TypeIs).
+        """
+        item = typing._type_check(parameters, f'{self} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+# 3.8
+else:
+    class _TypeIsForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type')
+            return typing._GenericAlias(self, (item,))
+
+    TypeIs = _TypeIsForm(
+        'TypeIs',
+        doc="""Special typing form used to annotate the return type of a user-defined
+        type narrower function.  ``TypeIs`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeIs`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeIs[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeIs`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the intersection of the type inside ``TypeGuard`` and the argument's
+        previously known type.
+
+        For example::
+
+            def is_awaitable(val: object) -> TypeIs[Awaitable[Any]]:
+                return hasattr(val, '__await__')
+
+            def f(val: Union[int, Awaitable[int]]) -> int:
+                if is_awaitable(val):
+                    assert_type(val, Awaitable[int])
+                else:
+                    assert_type(val, int)
+
+        ``TypeIs`` also works with type variables.  For more information, see
+        PEP 742 (Narrowing types with TypeIs).
+        """)
+
+
+# Vendored from cpython typing._SpecialFrom
+class _SpecialForm(typing._Final, _root=True):
+    __slots__ = ('_name', '__doc__', '_getitem')
+
+    def __init__(self, getitem):
+        self._getitem = getitem
+        self._name = getitem.__name__
+        self.__doc__ = getitem.__doc__
+
+    def __getattr__(self, item):
+        if item in {'__name__', '__qualname__'}:
+            return self._name
+
+        raise AttributeError(item)
+
+    def __mro_entries__(self, bases):
+        raise TypeError(f"Cannot subclass {self!r}")
+
+    def __repr__(self):
+        return f'typing_extensions.{self._name}'
+
+    def __reduce__(self):
+        return self._name
+
+    def __call__(self, *args, **kwds):
+        raise TypeError(f"Cannot instantiate {self!r}")
+
+    def __or__(self, other):
+        return typing.Union[self, other]
+
+    def __ror__(self, other):
+        return typing.Union[other, self]
+
+    def __instancecheck__(self, obj):
+        raise TypeError(f"{self} cannot be used with isinstance()")
+
+    def __subclasscheck__(self, cls):
+        raise TypeError(f"{self} cannot be used with issubclass()")
+
+    @typing._tp_cache
+    def __getitem__(self, parameters):
+        return self._getitem(self, parameters)
+
+
+if hasattr(typing, "LiteralString"):  # 3.11+
+    LiteralString = typing.LiteralString
+else:
+    @_SpecialForm
+    def LiteralString(self, params):
+        """Represents an arbitrary literal string.
+
+        Example::
+
+          from metaflow._vendor.typing_extensions import LiteralString
+
+          def query(sql: LiteralString) -> ...:
+              ...
+
+          query("SELECT * FROM table")  # ok
+          query(f"SELECT * FROM {input()}")  # not ok
+
+        See PEP 675 for details.
+
+        """
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, "Self"):  # 3.11+
+    Self = typing.Self
+else:
+    @_SpecialForm
+    def Self(self, params):
+        """Used to spell the type of "self" in classes.
+
+        Example::
+
+          from typing import Self
+
+          class ReturnsSelf:
+              def parse(self, data: bytes) -> Self:
+                  ...
+                  return self
+
+        """
+
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, "Never"):  # 3.11+
+    Never = typing.Never
+else:
+    @_SpecialForm
+    def Never(self, params):
+        """The bottom type, a type that has no members.
+
+        This can be used to define a function that should never be
+        called, or a function that never returns::
+
+            from metaflow._vendor.typing_extensions import Never
+
+            def never_call_me(arg: Never) -> None:
+                pass
+
+            def int_or_str(arg: int | str) -> None:
+                never_call_me(arg)  # type checker error
+                match arg:
+                    case int():
+                        print("It's an int")
+                    case str():
+                        print("It's a str")
+                    case _:
+                        never_call_me(arg)  # ok, arg is of type Never
+
+        """
+
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, 'Required'):  # 3.11+
+    Required = typing.Required
+    NotRequired = typing.NotRequired
+elif sys.version_info[:2] >= (3, 9):  # 3.9-3.10
+    @_ExtensionsSpecialForm
+    def Required(self, parameters):
+        """A special typing construct to mark a key of a total=False TypedDict
+        as required. For example:
+
+            class Movie(TypedDict, total=False):
+                title: Required[str]
+                year: int
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+
+        There is no runtime checking that a required key is actually provided
+        when instantiating a related TypedDict.
+        """
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+
+    @_ExtensionsSpecialForm
+    def NotRequired(self, parameters):
+        """A special typing construct to mark a key of a TypedDict as
+        potentially missing. For example:
+
+            class Movie(TypedDict):
+                title: str
+                year: NotRequired[int]
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+        """
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+
+else:  # 3.8
+    class _RequiredForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return typing._GenericAlias(self, (item,))
+
+    Required = _RequiredForm(
+        'Required',
+        doc="""A special typing construct to mark a key of a total=False TypedDict
+        as required. For example:
+
+            class Movie(TypedDict, total=False):
+                title: Required[str]
+                year: int
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+
+        There is no runtime checking that a required key is actually provided
+        when instantiating a related TypedDict.
+        """)
+    NotRequired = _RequiredForm(
+        'NotRequired',
+        doc="""A special typing construct to mark a key of a TypedDict as
+        potentially missing. For example:
+
+            class Movie(TypedDict):
+                title: str
+                year: NotRequired[int]
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+        """)
+
+
+if hasattr(typing, 'ReadOnly'):
+    ReadOnly = typing.ReadOnly
+elif sys.version_info[:2] >= (3, 9):  # 3.9-3.12
+    @_ExtensionsSpecialForm
+    def ReadOnly(self, parameters):
+        """A special typing construct to mark an item of a TypedDict as read-only.
+
+        For example:
+
+            class Movie(TypedDict):
+                title: ReadOnly[str]
+                year: int
+
+            def mutate_movie(m: Movie) -> None:
+                m["year"] = 1992  # allowed
+                m["title"] = "The Matrix"  # typechecker error
+
+        There is no runtime checking for this property.
+        """
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+
+else:  # 3.8
+    class _ReadOnlyForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return typing._GenericAlias(self, (item,))
+
+    ReadOnly = _ReadOnlyForm(
+        'ReadOnly',
+        doc="""A special typing construct to mark a key of a TypedDict as read-only.
+
+        For example:
+
+            class Movie(TypedDict):
+                title: ReadOnly[str]
+                year: int
+
+            def mutate_movie(m: Movie) -> None:
+                m["year"] = 1992  # allowed
+                m["title"] = "The Matrix"  # typechecker error
+
+        There is no runtime checking for this propery.
+        """)
+
+
+_UNPACK_DOC = """\
+Type unpack operator.
+
+The type unpack operator takes the child types from some container type,
+such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For
+example:
+
+  # For some generic class `Foo`:
+  Foo[Unpack[tuple[int, str]]]  # Equivalent to Foo[int, str]
+
+  Ts = TypeVarTuple('Ts')
+  # Specifies that `Bar` is generic in an arbitrary number of types.
+  # (Think of `Ts` as a tuple of an arbitrary number of individual
+  #  `TypeVar`s, which the `Unpack` is 'pulling out' directly into the
+  #  `Generic[]`.)
+  class Bar(Generic[Unpack[Ts]]): ...
+  Bar[int]  # Valid
+  Bar[int, str]  # Also valid
+
+From Python 3.11, this can also be done using the `*` operator:
+
+    Foo[*tuple[int, str]]
+    class Bar(Generic[*Ts]): ...
+
+The operator can also be used along with a `TypedDict` to annotate
+`**kwargs` in a function signature. For instance:
+
+  class Movie(TypedDict):
+    name: str
+    year: int
+
+  # This function expects two keyword arguments - *name* of type `str` and
+  # *year* of type `int`.
+  def foo(**kwargs: Unpack[Movie]): ...
+
+Note that there is only some runtime checking of this operator. Not
+everything the runtime allows may be accepted by static type checkers.
+
+For more information, see PEP 646 and PEP 692.
+"""
+
+
+if sys.version_info >= (3, 12):  # PEP 692 changed the repr of Unpack[]
+    Unpack = typing.Unpack
+
+    def _is_unpack(obj):
+        return get_origin(obj) is Unpack
+
+elif sys.version_info[:2] >= (3, 9):  # 3.9+
+    class _UnpackSpecialForm(_ExtensionsSpecialForm, _root=True):
+        def __init__(self, getitem):
+            super().__init__(getitem)
+            self.__doc__ = _UNPACK_DOC
+
+    class _UnpackAlias(typing._GenericAlias, _root=True):
+        __class__ = typing.TypeVar
+
+        @property
+        def __typing_unpacked_tuple_args__(self):
+            assert self.__origin__ is Unpack
+            assert len(self.__args__) == 1
+            arg, = self.__args__
+            if isinstance(arg, (typing._GenericAlias, _types.GenericAlias)):
+                if arg.__origin__ is not tuple:
+                    raise TypeError("Unpack[...] must be used with a tuple type")
+                return arg.__args__
+            return None
+
+    @_UnpackSpecialForm
+    def Unpack(self, parameters):
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return _UnpackAlias(self, (item,))
+
+    def _is_unpack(obj):
+        return isinstance(obj, _UnpackAlias)
+
+else:  # 3.8
+    class _UnpackAlias(typing._GenericAlias, _root=True):
+        __class__ = typing.TypeVar
+
+    class _UnpackForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return _UnpackAlias(self, (item,))
+
+    Unpack = _UnpackForm('Unpack', doc=_UNPACK_DOC)
+
+    def _is_unpack(obj):
+        return isinstance(obj, _UnpackAlias)
+
+
+if _PEP_696_IMPLEMENTED:
+    from typing import TypeVarTuple
+
+elif hasattr(typing, "TypeVarTuple"):  # 3.11+
+
+    def _unpack_args(*args):
+        newargs = []
+        for arg in args:
+            subargs = getattr(arg, '__typing_unpacked_tuple_args__', None)
+            if subargs is not None and not (subargs and subargs[-1] is ...):
+                newargs.extend(subargs)
+            else:
+                newargs.append(arg)
+        return newargs
+
+    # Add default parameter - PEP 696
+    class TypeVarTuple(metaclass=_TypeVarLikeMeta):
+        """Type variable tuple."""
+
+        _backported_typevarlike = typing.TypeVarTuple
+
+        def __new__(cls, name, *, default=NoDefault):
+            tvt = typing.TypeVarTuple(name)
+            _set_default(tvt, default)
+            _set_module(tvt)
+
+            def _typevartuple_prepare_subst(alias, args):
+                params = alias.__parameters__
+                typevartuple_index = params.index(tvt)
+                for param in params[typevartuple_index + 1:]:
+                    if isinstance(param, TypeVarTuple):
+                        raise TypeError(
+                            f"More than one TypeVarTuple parameter in {alias}"
+                        )
+
+                alen = len(args)
+                plen = len(params)
+                left = typevartuple_index
+                right = plen - typevartuple_index - 1
+                var_tuple_index = None
+                fillarg = None
+                for k, arg in enumerate(args):
+                    if not isinstance(arg, type):
+                        subargs = getattr(arg, '__typing_unpacked_tuple_args__', None)
+                        if subargs and len(subargs) == 2 and subargs[-1] is ...:
+                            if var_tuple_index is not None:
+                                raise TypeError(
+                                    "More than one unpacked "
+                                    "arbitrary-length tuple argument"
+                                )
+                            var_tuple_index = k
+                            fillarg = subargs[0]
+                if var_tuple_index is not None:
+                    left = min(left, var_tuple_index)
+                    right = min(right, alen - var_tuple_index - 1)
+                elif left + right > alen:
+                    raise TypeError(f"Too few arguments for {alias};"
+                                    f" actual {alen}, expected at least {plen - 1}")
+                if left == alen - right and tvt.has_default():
+                    replacement = _unpack_args(tvt.__default__)
+                else:
+                    replacement = args[left: alen - right]
+
+                return (
+                    *args[:left],
+                    *([fillarg] * (typevartuple_index - left)),
+                    replacement,
+                    *([fillarg] * (plen - right - left - typevartuple_index - 1)),
+                    *args[alen - right:],
+                )
+
+            tvt.__typing_prepare_subst__ = _typevartuple_prepare_subst
+            return tvt
+
+        def __init_subclass__(self, *args, **kwds):
+            raise TypeError("Cannot subclass special typing classes")
+
+else:  # <=3.10
+    class TypeVarTuple(_DefaultMixin):
+        """Type variable tuple.
+
+        Usage::
+
+            Ts = TypeVarTuple('Ts')
+
+        In the same way that a normal type variable is a stand-in for a single
+        type such as ``int``, a type variable *tuple* is a stand-in for a *tuple*
+        type such as ``Tuple[int, str]``.
+
+        Type variable tuples can be used in ``Generic`` declarations.
+        Consider the following example::
+
+            class Array(Generic[*Ts]): ...
+
+        The ``Ts`` type variable tuple here behaves like ``tuple[T1, T2]``,
+        where ``T1`` and ``T2`` are type variables. To use these type variables
+        as type parameters of ``Array``, we must *unpack* the type variable tuple using
+        the star operator: ``*Ts``. The signature of ``Array`` then behaves
+        as if we had simply written ``class Array(Generic[T1, T2]): ...``.
+        In contrast to ``Generic[T1, T2]``, however, ``Generic[*Shape]`` allows
+        us to parameterise the class with an *arbitrary* number of type parameters.
+
+        Type variable tuples can be used anywhere a normal ``TypeVar`` can.
+        This includes class definitions, as shown above, as well as function
+        signatures and variable annotations::
+
+            class Array(Generic[*Ts]):
+
+                def __init__(self, shape: Tuple[*Ts]):
+                    self._shape: Tuple[*Ts] = shape
+
+                def get_shape(self) -> Tuple[*Ts]:
+                    return self._shape
+
+            shape = (Height(480), Width(640))
+            x: Array[Height, Width] = Array(shape)
+            y = abs(x)  # Inferred type is Array[Height, Width]
+            z = x + x   #        ...    is Array[Height, Width]
+            x.get_shape()  #     ...    is tuple[Height, Width]
+
+        """
+
+        # Trick Generic __parameters__.
+        __class__ = typing.TypeVar
+
+        def __iter__(self):
+            yield self.__unpacked__
+
+        def __init__(self, name, *, default=NoDefault):
+            self.__name__ = name
+            _DefaultMixin.__init__(self, default)
+
+            # for pickling:
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+            self.__unpacked__ = Unpack[self]
+
+        def __repr__(self):
+            return self.__name__
+
+        def __hash__(self):
+            return object.__hash__(self)
+
+        def __eq__(self, other):
+            return self is other
+
+        def __reduce__(self):
+            return self.__name__
+
+        def __init_subclass__(self, *args, **kwds):
+            if '_root' not in kwds:
+                raise TypeError("Cannot subclass special typing classes")
+
+
+if hasattr(typing, "reveal_type"):  # 3.11+
+    reveal_type = typing.reveal_type
+else:  # <=3.10
+    def reveal_type(obj: T, /) -> T:
+        """Reveal the inferred type of a variable.
+
+        When a static type checker encounters a call to ``reveal_type()``,
+        it will emit the inferred type of the argument::
+
+            x: int = 1
+            reveal_type(x)
+
+        Running a static type checker (e.g., ``mypy``) on this example
+        will produce output similar to 'Revealed type is "builtins.int"'.
+
+        At runtime, the function prints the runtime type of the
+        argument and returns it unchanged.
+
+        """
+        print(f"Runtime type is {type(obj).__name__!r}", file=sys.stderr)
+        return obj
+
+
+if hasattr(typing, "_ASSERT_NEVER_REPR_MAX_LENGTH"):  # 3.11+
+    _ASSERT_NEVER_REPR_MAX_LENGTH = typing._ASSERT_NEVER_REPR_MAX_LENGTH
+else:  # <=3.10
+    _ASSERT_NEVER_REPR_MAX_LENGTH = 100
+
+
+if hasattr(typing, "assert_never"):  # 3.11+
+    assert_never = typing.assert_never
+else:  # <=3.10
+    def assert_never(arg: Never, /) -> Never:
+        """Assert to the type checker that a line of code is unreachable.
+
+        Example::
+
+            def int_or_str(arg: int | str) -> None:
+                match arg:
+                    case int():
+                        print("It's an int")
+                    case str():
+                        print("It's a str")
+                    case _:
+                        assert_never(arg)
+
+        If a type checker finds that a call to assert_never() is
+        reachable, it will emit an error.
+
+        At runtime, this throws an exception when called.
+
+        """
+        value = repr(arg)
+        if len(value) > _ASSERT_NEVER_REPR_MAX_LENGTH:
+            value = value[:_ASSERT_NEVER_REPR_MAX_LENGTH] + '...'
+        raise AssertionError(f"Expected code to be unreachable, but got: {value}")
+
+
+if sys.version_info >= (3, 12):  # 3.12+
+    # dataclass_transform exists in 3.11 but lacks the frozen_default parameter
+    dataclass_transform = typing.dataclass_transform
+else:  # <=3.11
+    def dataclass_transform(
+        *,
+        eq_default: bool = True,
+        order_default: bool = False,
+        kw_only_default: bool = False,
+        frozen_default: bool = False,
+        field_specifiers: typing.Tuple[
+            typing.Union[typing.Type[typing.Any], typing.Callable[..., typing.Any]],
+            ...
+        ] = (),
+        **kwargs: typing.Any,
+    ) -> typing.Callable[[T], T]:
+        """Decorator that marks a function, class, or metaclass as providing
+        dataclass-like behavior.
+
+        Example:
+
+            from metaflow._vendor.typing_extensions import dataclass_transform
+
+            _T = TypeVar("_T")
+
+            # Used on a decorator function
+            @dataclass_transform()
+            def create_model(cls: type[_T]) -> type[_T]:
+                ...
+                return cls
+
+            @create_model
+            class CustomerModel:
+                id: int
+                name: str
+
+            # Used on a base class
+            @dataclass_transform()
+            class ModelBase: ...
+
+            class CustomerModel(ModelBase):
+                id: int
+                name: str
+
+            # Used on a metaclass
+            @dataclass_transform()
+            class ModelMeta(type): ...
+
+            class ModelBase(metaclass=ModelMeta): ...
+
+            class CustomerModel(ModelBase):
+                id: int
+                name: str
+
+        Each of the ``CustomerModel`` classes defined in this example will now
+        behave similarly to a dataclass created with the ``@dataclasses.dataclass``
+        decorator. For example, the type checker will synthesize an ``__init__``
+        method.
+
+        The arguments to this decorator can be used to customize this behavior:
+        - ``eq_default`` indicates whether the ``eq`` parameter is assumed to be
+          True or False if it is omitted by the caller.
+        - ``order_default`` indicates whether the ``order`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``kw_only_default`` indicates whether the ``kw_only`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``frozen_default`` indicates whether the ``frozen`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``field_specifiers`` specifies a static list of supported classes
+          or functions that describe fields, similar to ``dataclasses.field()``.
+
+        At runtime, this decorator records its arguments in the
+        ``__dataclass_transform__`` attribute on the decorated object.
+
+        See PEP 681 for details.
+
+        """
+        def decorator(cls_or_fn):
+            cls_or_fn.__dataclass_transform__ = {
+                "eq_default": eq_default,
+                "order_default": order_default,
+                "kw_only_default": kw_only_default,
+                "frozen_default": frozen_default,
+                "field_specifiers": field_specifiers,
+                "kwargs": kwargs,
+            }
+            return cls_or_fn
+        return decorator
+
+
+if hasattr(typing, "override"):  # 3.12+
+    override = typing.override
+else:  # <=3.11
+    _F = typing.TypeVar("_F", bound=typing.Callable[..., typing.Any])
+
+    def override(arg: _F, /) -> _F:
+        """Indicate that a method is intended to override a method in a base class.
+
+        Usage:
+
+            class Base:
+                def method(self) -> None:
+                    pass
+
+            class Child(Base):
+                @override
+                def method(self) -> None:
+                    super().method()
+
+        When this decorator is applied to a method, the type checker will
+        validate that it overrides a method with the same name on a base class.
+        This helps prevent bugs that may occur when a base class is changed
+        without an equivalent change to a child class.
+
+        There is no runtime checking of these properties. The decorator
+        sets the ``__override__`` attribute to ``True`` on the decorated object
+        to allow runtime introspection.
+
+        See PEP 698 for details.
+
+        """
+        try:
+            arg.__override__ = True
+        except (AttributeError, TypeError):
+            # Skip the attribute silently if it is not writable.
+            # AttributeError happens if the object has __slots__ or a
+            # read-only property, TypeError if it's a builtin class.
+            pass
+        return arg
+
+
+if hasattr(warnings, "deprecated"):
+    deprecated = warnings.deprecated
+else:
+    _T = typing.TypeVar("_T")
+
+    class deprecated:
+        """Indicate that a class, function or overload is deprecated.
+
+        When this decorator is applied to an object, the type checker
+        will generate a diagnostic on usage of the deprecated object.
+
+        Usage:
+
+            @deprecated("Use B instead")
+            class A:
+                pass
+
+            @deprecated("Use g instead")
+            def f():
+                pass
+
+            @overload
+            @deprecated("int support is deprecated")
+            def g(x: int) -> int: ...
+            @overload
+            def g(x: str) -> int: ...
+
+        The warning specified by *category* will be emitted at runtime
+        on use of deprecated objects. For functions, that happens on calls;
+        for classes, on instantiation and on creation of subclasses.
+        If the *category* is ``None``, no warning is emitted at runtime.
+        The *stacklevel* determines where the
+        warning is emitted. If it is ``1`` (the default), the warning
+        is emitted at the direct caller of the deprecated object; if it
+        is higher, it is emitted further up the stack.
+        Static type checker behavior is not affected by the *category*
+        and *stacklevel* arguments.
+
+        The deprecation message passed to the decorator is saved in the
+        ``__deprecated__`` attribute on the decorated object.
+        If applied to an overload, the decorator
+        must be after the ``@overload`` decorator for the attribute to
+        exist on the overload as returned by ``get_overloads()``.
+
+        See PEP 702 for details.
+
+        """
+        def __init__(
+            self,
+            message: str,
+            /,
+            *,
+            category: typing.Optional[typing.Type[Warning]] = DeprecationWarning,
+            stacklevel: int = 1,
+        ) -> None:
+            if not isinstance(message, str):
+                raise TypeError(
+                    "Expected an object of type str for 'message', not "
+                    f"{type(message).__name__!r}"
+                )
+            self.message = message
+            self.category = category
+            self.stacklevel = stacklevel
+
+        def __call__(self, arg: _T, /) -> _T:
+            # Make sure the inner functions created below don't
+            # retain a reference to self.
+            msg = self.message
+            category = self.category
+            stacklevel = self.stacklevel
+            if category is None:
+                arg.__deprecated__ = msg
+                return arg
+            elif isinstance(arg, type):
+                import functools
+                from types import MethodType
+
+                original_new = arg.__new__
+
+                @functools.wraps(original_new)
+                def __new__(cls, *args, **kwargs):
+                    if cls is arg:
+                        warnings.warn(msg, category=category, stacklevel=stacklevel + 1)
+                    if original_new is not object.__new__:
+                        return original_new(cls, *args, **kwargs)
+                    # Mirrors a similar check in object.__new__.
+                    elif cls.__init__ is object.__init__ and (args or kwargs):
+                        raise TypeError(f"{cls.__name__}() takes no arguments")
+                    else:
+                        return original_new(cls)
+
+                arg.__new__ = staticmethod(__new__)
+
+                original_init_subclass = arg.__init_subclass__
+                # We need slightly different behavior if __init_subclass__
+                # is a bound method (likely if it was implemented in Python)
+                if isinstance(original_init_subclass, MethodType):
+                    original_init_subclass = original_init_subclass.__func__
+
+                    @functools.wraps(original_init_subclass)
+                    def __init_subclass__(*args, **kwargs):
+                        warnings.warn(msg, category=category, stacklevel=stacklevel + 1)
+                        return original_init_subclass(*args, **kwargs)
+
+                    arg.__init_subclass__ = classmethod(__init_subclass__)
+                # Or otherwise, which likely means it's a builtin such as
+                # object's implementation of __init_subclass__.
+                else:
+                    @functools.wraps(original_init_subclass)
+                    def __init_subclass__(*args, **kwargs):
+                        warnings.warn(msg, category=category, stacklevel=stacklevel + 1)
+                        return original_init_subclass(*args, **kwargs)
+
+                    arg.__init_subclass__ = __init_subclass__
+
+                arg.__deprecated__ = __new__.__deprecated__ = msg
+                __init_subclass__.__deprecated__ = msg
+                return arg
+            elif callable(arg):
+                import functools
+
+                @functools.wraps(arg)
+                def wrapper(*args, **kwargs):
+                    warnings.warn(msg, category=category, stacklevel=stacklevel + 1)
+                    return arg(*args, **kwargs)
+
+                arg.__deprecated__ = wrapper.__deprecated__ = msg
+                return wrapper
+            else:
+                raise TypeError(
+                    "@deprecated decorator with non-None category must be applied to "
+                    f"a class or callable, not {arg!r}"
+                )
+
+
+# We have to do some monkey patching to deal with the dual nature of
+# Unpack/TypeVarTuple:
+# - We want Unpack to be a kind of TypeVar so it gets accepted in
+#   Generic[Unpack[Ts]]
+# - We want it to *not* be treated as a TypeVar for the purposes of
+#   counting generic parameters, so that when we subscript a generic,
+#   the runtime doesn't try to substitute the Unpack with the subscripted type.
+if not hasattr(typing, "TypeVarTuple"):
+    def _check_generic(cls, parameters, elen=_marker):
+        """Check correct count for parameters of a generic cls (internal helper).
+
+        This gives a nice error message in case of count mismatch.
+        """
+        if not elen:
+            raise TypeError(f"{cls} is not a generic class")
+        if elen is _marker:
+            if not hasattr(cls, "__parameters__") or not cls.__parameters__:
+                raise TypeError(f"{cls} is not a generic class")
+            elen = len(cls.__parameters__)
+        alen = len(parameters)
+        if alen != elen:
+            expect_val = elen
+            if hasattr(cls, "__parameters__"):
+                parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
+                num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters)
+                if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples):
+                    return
+
+                # deal with TypeVarLike defaults
+                # required TypeVarLikes cannot appear after a defaulted one.
+                if alen < elen:
+                    # since we validate TypeVarLike default in _collect_type_vars
+                    # or _collect_parameters we can safely check parameters[alen]
+                    if (
+                        getattr(parameters[alen], '__default__', NoDefault)
+                        is not NoDefault
+                    ):
+                        return
+
+                    num_default_tv = sum(getattr(p, '__default__', NoDefault)
+                                         is not NoDefault for p in parameters)
+
+                    elen -= num_default_tv
+
+                    expect_val = f"at least {elen}"
+
+            things = "arguments" if sys.version_info >= (3, 10) else "parameters"
+            raise TypeError(f"Too {'many' if alen > elen else 'few'} {things}"
+                            f" for {cls}; actual {alen}, expected {expect_val}")
+else:
+    # Python 3.11+
+
+    def _check_generic(cls, parameters, elen):
+        """Check correct count for parameters of a generic cls (internal helper).
+
+        This gives a nice error message in case of count mismatch.
+        """
+        if not elen:
+            raise TypeError(f"{cls} is not a generic class")
+        alen = len(parameters)
+        if alen != elen:
+            expect_val = elen
+            if hasattr(cls, "__parameters__"):
+                parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
+
+                # deal with TypeVarLike defaults
+                # required TypeVarLikes cannot appear after a defaulted one.
+                if alen < elen:
+                    # since we validate TypeVarLike default in _collect_type_vars
+                    # or _collect_parameters we can safely check parameters[alen]
+                    if (
+                        getattr(parameters[alen], '__default__', NoDefault)
+                        is not NoDefault
+                    ):
+                        return
+
+                    num_default_tv = sum(getattr(p, '__default__', NoDefault)
+                                         is not NoDefault for p in parameters)
+
+                    elen -= num_default_tv
+
+                    expect_val = f"at least {elen}"
+
+            raise TypeError(f"Too {'many' if alen > elen else 'few'} arguments"
+                            f" for {cls}; actual {alen}, expected {expect_val}")
+
+if not _PEP_696_IMPLEMENTED:
+    typing._check_generic = _check_generic
+
+
+def _has_generic_or_protocol_as_origin() -> bool:
+    try:
+        frame = sys._getframe(2)
+    # - Catch AttributeError: not all Python implementations have sys._getframe()
+    # - Catch ValueError: maybe we're called from an unexpected module
+    #   and the call stack isn't deep enough
+    except (AttributeError, ValueError):
+        return False  # err on the side of leniency
+    else:
+        # If we somehow get invoked from outside typing.py,
+        # also err on the side of leniency
+        if frame.f_globals.get("__name__") != "typing":
+            return False
+        origin = frame.f_locals.get("origin")
+        # Cannot use "in" because origin may be an object with a buggy __eq__ that
+        # throws an error.
+        return origin is typing.Generic or origin is Protocol or origin is typing.Protocol
+
+
+_TYPEVARTUPLE_TYPES = {TypeVarTuple, getattr(typing, "TypeVarTuple", None)}
+
+
+def _is_unpacked_typevartuple(x) -> bool:
+    if get_origin(x) is not Unpack:
+        return False
+    args = get_args(x)
+    return (
+        bool(args)
+        and len(args) == 1
+        and type(args[0]) in _TYPEVARTUPLE_TYPES
+    )
+
+
+# Python 3.11+ _collect_type_vars was renamed to _collect_parameters
+if hasattr(typing, '_collect_type_vars'):
+    def _collect_type_vars(types, typevar_types=None):
+        """Collect all type variable contained in types in order of
+        first appearance (lexicographic order). For example::
+
+            _collect_type_vars((T, List[S, T])) == (T, S)
+        """
+        if typevar_types is None:
+            typevar_types = typing.TypeVar
+        tvars = []
+
+        # A required TypeVarLike cannot appear after a TypeVarLike with a default
+        # if it was a direct call to `Generic[]` or `Protocol[]`
+        enforce_default_ordering = _has_generic_or_protocol_as_origin()
+        default_encountered = False
+
+        # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple
+        type_var_tuple_encountered = False
+
+        for t in types:
+            if _is_unpacked_typevartuple(t):
+                type_var_tuple_encountered = True
+            elif isinstance(t, typevar_types) and t not in tvars:
+                if enforce_default_ordering:
+                    has_default = getattr(t, '__default__', NoDefault) is not NoDefault
+                    if has_default:
+                        if type_var_tuple_encountered:
+                            raise TypeError('Type parameter with a default'
+                                            ' follows TypeVarTuple')
+                        default_encountered = True
+                    elif default_encountered:
+                        raise TypeError(f'Type parameter {t!r} without a default'
+                                        ' follows type parameter with a default')
+
+                tvars.append(t)
+            if _should_collect_from_parameters(t):
+                tvars.extend([t for t in t.__parameters__ if t not in tvars])
+        return tuple(tvars)
+
+    typing._collect_type_vars = _collect_type_vars
+else:
+    def _collect_parameters(args):
+        """Collect all type variables and parameter specifications in args
+        in order of first appearance (lexicographic order).
+
+        For example::
+
+            assert _collect_parameters((T, Callable[P, T])) == (T, P)
+        """
+        parameters = []
+
+        # A required TypeVarLike cannot appear after a TypeVarLike with default
+        # if it was a direct call to `Generic[]` or `Protocol[]`
+        enforce_default_ordering = _has_generic_or_protocol_as_origin()
+        default_encountered = False
+
+        # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple
+        type_var_tuple_encountered = False
+
+        for t in args:
+            if isinstance(t, type):
+                # We don't want __parameters__ descriptor of a bare Python class.
+                pass
+            elif isinstance(t, tuple):
+                # `t` might be a tuple, when `ParamSpec` is substituted with
+                # `[T, int]`, or `[int, *Ts]`, etc.
+                for x in t:
+                    for collected in _collect_parameters([x]):
+                        if collected not in parameters:
+                            parameters.append(collected)
+            elif hasattr(t, '__typing_subst__'):
+                if t not in parameters:
+                    if enforce_default_ordering:
+                        has_default = (
+                            getattr(t, '__default__', NoDefault) is not NoDefault
+                        )
+
+                        if type_var_tuple_encountered and has_default:
+                            raise TypeError('Type parameter with a default'
+                                            ' follows TypeVarTuple')
+
+                        if has_default:
+                            default_encountered = True
+                        elif default_encountered:
+                            raise TypeError(f'Type parameter {t!r} without a default'
+                                            ' follows type parameter with a default')
+
+                    parameters.append(t)
+            else:
+                if _is_unpacked_typevartuple(t):
+                    type_var_tuple_encountered = True
+                for x in getattr(t, '__parameters__', ()):
+                    if x not in parameters:
+                        parameters.append(x)
+
+        return tuple(parameters)
+
+    if not _PEP_696_IMPLEMENTED:
+        typing._collect_parameters = _collect_parameters
+
+# Backport typing.NamedTuple as it exists in Python 3.13.
+# In 3.11, the ability to define generic `NamedTuple`s was supported.
+# This was explicitly disallowed in 3.9-3.10, and only half-worked in <=3.8.
+# On 3.12, we added __orig_bases__ to call-based NamedTuples
+# On 3.13, we deprecated kwargs-based NamedTuples
+if sys.version_info >= (3, 13):
+    NamedTuple = typing.NamedTuple
+else:
+    def _make_nmtuple(name, types, module, defaults=()):
+        fields = [n for n, t in types]
+        annotations = {n: typing._type_check(t, f"field {n} annotation must be a type")
+                       for n, t in types}
+        nm_tpl = collections.namedtuple(name, fields,
+                                        defaults=defaults, module=module)
+        nm_tpl.__annotations__ = nm_tpl.__new__.__annotations__ = annotations
+        # The `_field_types` attribute was removed in 3.9;
+        # in earlier versions, it is the same as the `__annotations__` attribute
+        if sys.version_info < (3, 9):
+            nm_tpl._field_types = annotations
+        return nm_tpl
+
+    _prohibited_namedtuple_fields = typing._prohibited
+    _special_namedtuple_fields = frozenset({'__module__', '__name__', '__annotations__'})
+
+    class _NamedTupleMeta(type):
+        def __new__(cls, typename, bases, ns):
+            assert _NamedTuple in bases
+            for base in bases:
+                if base is not _NamedTuple and base is not typing.Generic:
+                    raise TypeError(
+                        'can only inherit from a NamedTuple type and Generic')
+            bases = tuple(tuple if base is _NamedTuple else base for base in bases)
+            if "__annotations__" in ns:
+                types = ns["__annotations__"]
+            elif "__annotate__" in ns:
+                # TODO: Use inspect.VALUE here, and make the annotations lazily evaluated
+                types = ns["__annotate__"](1)
+            else:
+                types = {}
+            default_names = []
+            for field_name in types:
+                if field_name in ns:
+                    default_names.append(field_name)
+                elif default_names:
+                    raise TypeError(f"Non-default namedtuple field {field_name} "
+                                    f"cannot follow default field"
+                                    f"{'s' if len(default_names) > 1 else ''} "
+                                    f"{', '.join(default_names)}")
+            nm_tpl = _make_nmtuple(
+                typename, types.items(),
+                defaults=[ns[n] for n in default_names],
+                module=ns['__module__']
+            )
+            nm_tpl.__bases__ = bases
+            if typing.Generic in bases:
+                if hasattr(typing, '_generic_class_getitem'):  # 3.12+
+                    nm_tpl.__class_getitem__ = classmethod(typing._generic_class_getitem)
+                else:
+                    class_getitem = typing.Generic.__class_getitem__.__func__
+                    nm_tpl.__class_getitem__ = classmethod(class_getitem)
+            # update from user namespace without overriding special namedtuple attributes
+            for key, val in ns.items():
+                if key in _prohibited_namedtuple_fields:
+                    raise AttributeError("Cannot overwrite NamedTuple attribute " + key)
+                elif key not in _special_namedtuple_fields:
+                    if key not in nm_tpl._fields:
+                        setattr(nm_tpl, key, ns[key])
+                    try:
+                        set_name = type(val).__set_name__
+                    except AttributeError:
+                        pass
+                    else:
+                        try:
+                            set_name(val, nm_tpl, key)
+                        except BaseException as e:
+                            msg = (
+                                f"Error calling __set_name__ on {type(val).__name__!r} "
+                                f"instance {key!r} in {typename!r}"
+                            )
+                            # BaseException.add_note() existed on py311,
+                            # but the __set_name__ machinery didn't start
+                            # using add_note() until py312.
+                            # Making sure exceptions are raised in the same way
+                            # as in "normal" classes seems most important here.
+                            if sys.version_info >= (3, 12):
+                                e.add_note(msg)
+                                raise
+                            else:
+                                raise RuntimeError(msg) from e
+
+            if typing.Generic in bases:
+                nm_tpl.__init_subclass__()
+            return nm_tpl
+
+    _NamedTuple = type.__new__(_NamedTupleMeta, 'NamedTuple', (), {})
+
+    def _namedtuple_mro_entries(bases):
+        assert NamedTuple in bases
+        return (_NamedTuple,)
+
+    @_ensure_subclassable(_namedtuple_mro_entries)
+    def NamedTuple(typename, fields=_marker, /, **kwargs):
+        """Typed version of namedtuple.
+
+        Usage::
+
+            class Employee(NamedTuple):
+                name: str
+                id: int
+
+        This is equivalent to::
+
+            Employee = collections.namedtuple('Employee', ['name', 'id'])
+
+        The resulting class has an extra __annotations__ attribute, giving a
+        dict that maps field names to types.  (The field names are also in
+        the _fields attribute, which is part of the namedtuple API.)
+        An alternative equivalent functional syntax is also accepted::
+
+            Employee = NamedTuple('Employee', [('name', str), ('id', int)])
+        """
+        if fields is _marker:
+            if kwargs:
+                deprecated_thing = "Creating NamedTuple classes using keyword arguments"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "Use the class-based or functional syntax instead."
+                )
+            else:
+                deprecated_thing = "Failing to pass a value for the 'fields' parameter"
+                example = f"`{typename} = NamedTuple({typename!r}, [])`"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "To create a NamedTuple class with 0 fields "
+                    "using the functional syntax, "
+                    "pass an empty list, e.g. "
+                ) + example + "."
+        elif fields is None:
+            if kwargs:
+                raise TypeError(
+                    "Cannot pass `None` as the 'fields' parameter "
+                    "and also specify fields using keyword arguments"
+                )
+            else:
+                deprecated_thing = "Passing `None` as the 'fields' parameter"
+                example = f"`{typename} = NamedTuple({typename!r}, [])`"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "To create a NamedTuple class with 0 fields "
+                    "using the functional syntax, "
+                    "pass an empty list, e.g. "
+                ) + example + "."
+        elif kwargs:
+            raise TypeError("Either list of fields or keywords"
+                            " can be provided to NamedTuple, not both")
+        if fields is _marker or fields is None:
+            warnings.warn(
+                deprecation_msg.format(name=deprecated_thing, remove="3.15"),
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            fields = kwargs.items()
+        nt = _make_nmtuple(typename, fields, module=_caller())
+        nt.__orig_bases__ = (NamedTuple,)
+        return nt
+
+
+if hasattr(collections.abc, "Buffer"):
+    Buffer = collections.abc.Buffer
+else:
+    class Buffer(abc.ABC):  # noqa: B024
+        """Base class for classes that implement the buffer protocol.
+
+        The buffer protocol allows Python objects to expose a low-level
+        memory buffer interface. Before Python 3.12, it is not possible
+        to implement the buffer protocol in pure Python code, or even
+        to check whether a class implements the buffer protocol. In
+        Python 3.12 and higher, the ``__buffer__`` method allows access
+        to the buffer protocol from Python code, and the
+        ``collections.abc.Buffer`` ABC allows checking whether a class
+        implements the buffer protocol.
+
+        To indicate support for the buffer protocol in earlier versions,
+        inherit from this ABC, either in a stub file or at runtime,
+        or use ABC registration. This ABC provides no methods, because
+        there is no Python-accessible methods shared by pre-3.12 buffer
+        classes. It is useful primarily for static checks.
+
+        """
+
+    # As a courtesy, register the most common stdlib buffer classes.
+    Buffer.register(memoryview)
+    Buffer.register(bytearray)
+    Buffer.register(bytes)
+
+
+# Backport of types.get_original_bases, available on 3.12+ in CPython
+if hasattr(_types, "get_original_bases"):
+    get_original_bases = _types.get_original_bases
+else:
+    def get_original_bases(cls, /):
+        """Return the class's "original" bases prior to modification by `__mro_entries__`.
+
+        Examples::
+
+            from typing import TypeVar, Generic
+            from metaflow._vendor.typing_extensions import NamedTuple, TypedDict
+
+            T = TypeVar("T")
+            class Foo(Generic[T]): ...
+            class Bar(Foo[int], float): ...
+            class Baz(list[str]): ...
+            Eggs = NamedTuple("Eggs", [("a", int), ("b", str)])
+            Spam = TypedDict("Spam", {"a": int, "b": str})
+
+            assert get_original_bases(Bar) == (Foo[int], float)
+            assert get_original_bases(Baz) == (list[str],)
+            assert get_original_bases(Eggs) == (NamedTuple,)
+            assert get_original_bases(Spam) == (TypedDict,)
+            assert get_original_bases(int) == (object,)
+        """
+        try:
+            return cls.__dict__.get("__orig_bases__", cls.__bases__)
+        except AttributeError:
+            raise TypeError(
+                f'Expected an instance of type, not {type(cls).__name__!r}'
+            ) from None
+
+
+# NewType is a class on Python 3.10+, making it pickleable
+# The error message for subclassing instances of NewType was improved on 3.11+
+if sys.version_info >= (3, 11):
+    NewType = typing.NewType
+else:
+    class NewType:
+        """NewType creates simple unique types with almost zero
+        runtime overhead. NewType(name, tp) is considered a subtype of tp
+        by static type checkers. At runtime, NewType(name, tp) returns
+        a dummy callable that simply returns its argument. Usage::
+            UserId = NewType('UserId', int)
+            def name_by_id(user_id: UserId) -> str:
+                ...
+            UserId('user')          # Fails type check
+            name_by_id(42)          # Fails type check
+            name_by_id(UserId(42))  # OK
+            num = UserId(5) + 1     # type: int
+        """
+
+        def __call__(self, obj, /):
+            return obj
+
+        def __init__(self, name, tp):
+            self.__qualname__ = name
+            if '.' in name:
+                name = name.rpartition('.')[-1]
+            self.__name__ = name
+            self.__supertype__ = tp
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+        def __mro_entries__(self, bases):
+            # We defined __mro_entries__ to get a better error message
+            # if a user attempts to subclass a NewType instance. bpo-46170
+            supercls_name = self.__name__
+
+            class Dummy:
+                def __init_subclass__(cls):
+                    subcls_name = cls.__name__
+                    raise TypeError(
+                        f"Cannot subclass an instance of NewType. "
+                        f"Perhaps you were looking for: "
+                        f"`{subcls_name} = NewType({subcls_name!r}, {supercls_name})`"
+                    )
+
+            return (Dummy,)
+
+        def __repr__(self):
+            return f'{self.__module__}.{self.__qualname__}'
+
+        def __reduce__(self):
+            return self.__qualname__
+
+        if sys.version_info >= (3, 10):
+            # PEP 604 methods
+            # It doesn't make sense to have these methods on Python <3.10
+
+            def __or__(self, other):
+                return typing.Union[self, other]
+
+            def __ror__(self, other):
+                return typing.Union[other, self]
+
+
+if hasattr(typing, "TypeAliasType"):
+    TypeAliasType = typing.TypeAliasType
+else:
+    def _is_unionable(obj):
+        """Corresponds to is_unionable() in unionobject.c in CPython."""
+        return obj is None or isinstance(obj, (
+            type,
+            _types.GenericAlias,
+            _types.UnionType,
+            TypeAliasType,
+        ))
+
+    class TypeAliasType:
+        """Create named, parameterized type aliases.
+
+        This provides a backport of the new `type` statement in Python 3.12:
+
+            type ListOrSet[T] = list[T] | set[T]
+
+        is equivalent to:
+
+            T = TypeVar("T")
+            ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,))
+
+        The name ListOrSet can then be used as an alias for the type it refers to.
+
+        The type_params argument should contain all the type parameters used
+        in the value of the type alias. If the alias is not generic, this
+        argument is omitted.
+
+        Static type checkers should only support type aliases declared using
+        TypeAliasType that follow these rules:
+
+        - The first argument (the name) must be a string literal.
+        - The TypeAliasType instance must be immediately assigned to a variable
+          of the same name. (For example, 'X = TypeAliasType("Y", int)' is invalid,
+          as is 'X, Y = TypeAliasType("X", int), TypeAliasType("Y", int)').
+
+        """
+
+        def __init__(self, name: str, value, *, type_params=()):
+            if not isinstance(name, str):
+                raise TypeError("TypeAliasType name must be a string")
+            self.__value__ = value
+            self.__type_params__ = type_params
+
+            parameters = []
+            for type_param in type_params:
+                if isinstance(type_param, TypeVarTuple):
+                    parameters.extend(type_param)
+                else:
+                    parameters.append(type_param)
+            self.__parameters__ = tuple(parameters)
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+            # Setting this attribute closes the TypeAliasType from further modification
+            self.__name__ = name
+
+        def __setattr__(self, name: str, value: object, /) -> None:
+            if hasattr(self, "__name__"):
+                self._raise_attribute_error(name)
+            super().__setattr__(name, value)
+
+        def __delattr__(self, name: str, /) -> Never:
+            self._raise_attribute_error(name)
+
+        def _raise_attribute_error(self, name: str) -> Never:
+            # Match the Python 3.12 error messages exactly
+            if name == "__name__":
+                raise AttributeError("readonly attribute")
+            elif name in {"__value__", "__type_params__", "__parameters__", "__module__"}:
+                raise AttributeError(
+                    f"attribute '{name}' of 'typing.TypeAliasType' objects "
+                    "is not writable"
+                )
+            else:
+                raise AttributeError(
+                    f"'typing.TypeAliasType' object has no attribute '{name}'"
+                )
+
+        def __repr__(self) -> str:
+            return self.__name__
+
+        def __getitem__(self, parameters):
+            if not isinstance(parameters, tuple):
+                parameters = (parameters,)
+            parameters = [
+                typing._type_check(
+                    item, f'Subscripting {self.__name__} requires a type.'
+                )
+                for item in parameters
+            ]
+            return typing._GenericAlias(self, tuple(parameters))
+
+        def __reduce__(self):
+            return self.__name__
+
+        def __init_subclass__(cls, *args, **kwargs):
+            raise TypeError(
+                "type 'typing_extensions.TypeAliasType' is not an acceptable base type"
+            )
+
+        # The presence of this method convinces typing._type_check
+        # that TypeAliasTypes are types.
+        def __call__(self):
+            raise TypeError("Type alias is not callable")
+
+        if sys.version_info >= (3, 10):
+            def __or__(self, right):
+                # For forward compatibility with 3.12, reject Unions
+                # that are not accepted by the built-in Union.
+                if not _is_unionable(right):
+                    return NotImplemented
+                return typing.Union[self, right]
+
+            def __ror__(self, left):
+                if not _is_unionable(left):
+                    return NotImplemented
+                return typing.Union[left, self]
+
+
+if hasattr(typing, "is_protocol"):
+    is_protocol = typing.is_protocol
+    get_protocol_members = typing.get_protocol_members
+else:
+    def is_protocol(tp: type, /) -> bool:
+        """Return True if the given type is a Protocol.
+
+        Example::
+
+            >>> from typing_extensions import Protocol, is_protocol
+            >>> class P(Protocol):
+            ...     def a(self) -> str: ...
+            ...     b: int
+            >>> is_protocol(P)
+            True
+            >>> is_protocol(int)
+            False
+        """
+        return (
+            isinstance(tp, type)
+            and getattr(tp, '_is_protocol', False)
+            and tp is not Protocol
+            and tp is not typing.Protocol
+        )
+
+    def get_protocol_members(tp: type, /) -> typing.FrozenSet[str]:
+        """Return the set of members defined in a Protocol.
+
+        Example::
+
+            >>> from typing_extensions import Protocol, get_protocol_members
+            >>> class P(Protocol):
+            ...     def a(self) -> str: ...
+            ...     b: int
+            >>> get_protocol_members(P)
+            frozenset({'a', 'b'})
+
+        Raise a TypeError for arguments that are not Protocols.
+        """
+        if not is_protocol(tp):
+            raise TypeError(f'{tp!r} is not a Protocol')
+        if hasattr(tp, '__protocol_attrs__'):
+            return frozenset(tp.__protocol_attrs__)
+        return frozenset(_get_protocol_attrs(tp))
+
+
+if hasattr(typing, "Doc"):
+    Doc = typing.Doc
+else:
+    class Doc:
+        """Define the documentation of a type annotation using ``Annotated``, to be
+         used in class attributes, function and method parameters, return values,
+         and variables.
+
+        The value should be a positional-only string literal to allow static tools
+        like editors and documentation generators to use it.
+
+        This complements docstrings.
+
+        The string value passed is available in the attribute ``documentation``.
+
+        Example::
+
+            >>> from typing_extensions import Annotated, Doc
+            >>> def hi(to: Annotated[str, Doc("Who to say hi to")]) -> None: ...
+        """
+        def __init__(self, documentation: str, /) -> None:
+            self.documentation = documentation
+
+        def __repr__(self) -> str:
+            return f"Doc({self.documentation!r})"
+
+        def __hash__(self) -> int:
+            return hash(self.documentation)
+
+        def __eq__(self, other: object) -> bool:
+            if not isinstance(other, Doc):
+                return NotImplemented
+            return self.documentation == other.documentation
+
+
+_CapsuleType = getattr(_types, "CapsuleType", None)
+
+if _CapsuleType is None:
+    try:
+        import _socket
+    except ImportError:
+        pass
+    else:
+        _CAPI = getattr(_socket, "CAPI", None)
+        if _CAPI is not None:
+            _CapsuleType = type(_CAPI)
+
+if _CapsuleType is not None:
+    CapsuleType = _CapsuleType
+    __all__.append("CapsuleType")
+
+
+# Aliases for items that have always been in typing.
+# Explicitly assign these (rather than using `from typing import *` at the top),
+# so that we get a CI error if one of these is deleted from typing.py
+# in a future version of Python
+AbstractSet = typing.AbstractSet
+AnyStr = typing.AnyStr
+BinaryIO = typing.BinaryIO
+Callable = typing.Callable
+Collection = typing.Collection
+Container = typing.Container
+Dict = typing.Dict
+ForwardRef = typing.ForwardRef
+FrozenSet = typing.FrozenSet
+Generic = typing.Generic
+Hashable = typing.Hashable
+IO = typing.IO
+ItemsView = typing.ItemsView
+Iterable = typing.Iterable
+Iterator = typing.Iterator
+KeysView = typing.KeysView
+List = typing.List
+Mapping = typing.Mapping
+MappingView = typing.MappingView
+Match = typing.Match
+MutableMapping = typing.MutableMapping
+MutableSequence = typing.MutableSequence
+MutableSet = typing.MutableSet
+Optional = typing.Optional
+Pattern = typing.Pattern
+Reversible = typing.Reversible
+Sequence = typing.Sequence
+Set = typing.Set
+Sized = typing.Sized
+TextIO = typing.TextIO
+Tuple = typing.Tuple
+Union = typing.Union
+ValuesView = typing.ValuesView
+cast = typing.cast
+no_type_check = typing.no_type_check
+no_type_check_decorator = typing.no_type_check_decorator
diff --git a/metaflow/_vendor/v3_5/importlib_metadata/__init__.py b/metaflow/_vendor/v3_5/importlib_metadata/__init__.py
deleted file mode 100644
index 429bfa66c4f..00000000000
--- a/metaflow/_vendor/v3_5/importlib_metadata/__init__.py
+++ /dev/null
@@ -1,644 +0,0 @@
-from __future__ import unicode_literals, absolute_import
-
-import io
-import os
-import re
-import abc
-import csv
-import sys
-from metaflow._vendor.v3_5 import zipp
-import operator
-import functools
-import itertools
-import posixpath
-import collections
-
-from ._compat import (
-    install,
-    NullFinder,
-    ConfigParser,
-    suppress,
-    map,
-    FileNotFoundError,
-    IsADirectoryError,
-    NotADirectoryError,
-    PermissionError,
-    pathlib,
-    ModuleNotFoundError,
-    MetaPathFinder,
-    email_message_from_string,
-    PyPy_repr,
-    unique_ordered,
-    str,
-    )
-from importlib import import_module
-from itertools import starmap
-
-
-__metaclass__ = type
-
-
-__all__ = [
-    'Distribution',
-    'DistributionFinder',
-    'PackageNotFoundError',
-    'distribution',
-    'distributions',
-    'entry_points',
-    'files',
-    'metadata',
-    'requires',
-    'version',
-    ]
-
-
-class PackageNotFoundError(ModuleNotFoundError):
-    """The package was not found."""
-
-    def __str__(self):
-        tmpl = "No package metadata was found for {self.name}"
-        return tmpl.format(**locals())
-
-    @property
-    def name(self):
-        name, = self.args
-        return name
-
-
-class EntryPoint(
-        PyPy_repr,
-        collections.namedtuple('EntryPointBase', 'name value group')):
-    """An entry point as defined by Python packaging conventions.
-
-    See `the packaging docs on entry points
-    `_
-    for more information.
-    """
-
-    pattern = re.compile(
-        r'(?P[\w.]+)\s*'
-        r'(:\s*(?P[\w.]+)\s*)?'
-        r'((?P\[.*\])\s*)?$'
-        )
-    """
-    A regular expression describing the syntax for an entry point,
-    which might look like:
-
-        - module
-        - package.module
-        - package.module:attribute
-        - package.module:object.attribute
-        - package.module:attr [extra1, extra2]
-
-    Other combinations are possible as well.
-
-    The expression is lenient about whitespace around the ':',
-    following the attr, and following any extras.
-    """
-
-    def load(self):
-        """Load the entry point from its definition. If only a module
-        is indicated by the value, return that module. Otherwise,
-        return the named object.
-        """
-        match = self.pattern.match(self.value)
-        module = import_module(match.group('module'))
-        attrs = filter(None, (match.group('attr') or '').split('.'))
-        return functools.reduce(getattr, attrs, module)
-
-    @property
-    def module(self):
-        match = self.pattern.match(self.value)
-        return match.group('module')
-
-    @property
-    def attr(self):
-        match = self.pattern.match(self.value)
-        return match.group('attr')
-
-    @property
-    def extras(self):
-        match = self.pattern.match(self.value)
-        return list(re.finditer(r'\w+', match.group('extras') or ''))
-
-    @classmethod
-    def _from_config(cls, config):
-        return [
-            cls(name, value, group)
-            for group in config.sections()
-            for name, value in config.items(group)
-            ]
-
-    @classmethod
-    def _from_text(cls, text):
-        config = ConfigParser(delimiters='=')
-        # case sensitive: https://stackoverflow.com/q/1611799/812183
-        config.optionxform = str
-        try:
-            config.read_string(text)
-        except AttributeError:  # pragma: nocover
-            # Python 2 has no read_string
-            config.readfp(io.StringIO(text))
-        return EntryPoint._from_config(config)
-
-    def __iter__(self):
-        """
-        Supply iter so one may construct dicts of EntryPoints easily.
-        """
-        return iter((self.name, self))
-
-    def __reduce__(self):
-        return (
-            self.__class__,
-            (self.name, self.value, self.group),
-            )
-
-
-class PackagePath(pathlib.PurePosixPath):
-    """A reference to a path in a package"""
-
-    def read_text(self, encoding='utf-8'):
-        with self.locate().open(encoding=encoding) as stream:
-            return stream.read()
-
-    def read_binary(self):
-        with self.locate().open('rb') as stream:
-            return stream.read()
-
-    def locate(self):
-        """Return a path-like object for this path"""
-        return self.dist.locate_file(self)
-
-
-class FileHash:
-    def __init__(self, spec):
-        self.mode, _, self.value = spec.partition('=')
-
-    def __repr__(self):
-        return ''.format(self.mode, self.value)
-
-
-class Distribution:
-    """A Python distribution package."""
-
-    @abc.abstractmethod
-    def read_text(self, filename):
-        """Attempt to load metadata file given by the name.
-
-        :param filename: The name of the file in the distribution info.
-        :return: The text if found, otherwise None.
-        """
-
-    @abc.abstractmethod
-    def locate_file(self, path):
-        """
-        Given a path to a file in this distribution, return a path
-        to it.
-        """
-
-    @classmethod
-    def from_name(cls, name):
-        """Return the Distribution for the given package name.
-
-        :param name: The name of the distribution package to search for.
-        :return: The Distribution instance (or subclass thereof) for the named
-            package, if found.
-        :raises PackageNotFoundError: When the named package's distribution
-            metadata cannot be found.
-        """
-        for resolver in cls._discover_resolvers():
-            dists = resolver(DistributionFinder.Context(name=name))
-            dist = next(iter(dists), None)
-            if dist is not None:
-                return dist
-        else:
-            raise PackageNotFoundError(name)
-
-    @classmethod
-    def discover(cls, **kwargs):
-        """Return an iterable of Distribution objects for all packages.
-
-        Pass a ``context`` or pass keyword arguments for constructing
-        a context.
-
-        :context: A ``DistributionFinder.Context`` object.
-        :return: Iterable of Distribution objects for all packages.
-        """
-        context = kwargs.pop('context', None)
-        if context and kwargs:
-            raise ValueError("cannot accept context and kwargs")
-        context = context or DistributionFinder.Context(**kwargs)
-        return itertools.chain.from_iterable(
-            resolver(context)
-            for resolver in cls._discover_resolvers()
-            )
-
-    @staticmethod
-    def at(path):
-        """Return a Distribution for the indicated metadata path
-
-        :param path: a string or path-like object
-        :return: a concrete Distribution instance for the path
-        """
-        return PathDistribution(pathlib.Path(path))
-
-    @staticmethod
-    def _discover_resolvers():
-        """Search the meta_path for resolvers."""
-        declared = (
-            getattr(finder, 'find_distributions', None)
-            for finder in sys.meta_path
-            )
-        return filter(None, declared)
-
-    @classmethod
-    def _local(cls, root='.'):
-        from pep517 import build, meta
-        system = build.compat_system(root)
-        builder = functools.partial(
-            meta.build,
-            source_dir=root,
-            system=system,
-            )
-        return PathDistribution(zipp.Path(meta.build_as_zip(builder)))
-
-    @property
-    def metadata(self):
-        """Return the parsed metadata for this Distribution.
-
-        The returned object will have keys that name the various bits of
-        metadata.  See PEP 566 for details.
-        """
-        text = (
-            self.read_text('METADATA')
-            or self.read_text('PKG-INFO')
-            # This last clause is here to support old egg-info files.  Its
-            # effect is to just end up using the PathDistribution's self._path
-            # (which points to the egg-info file) attribute unchanged.
-            or self.read_text('')
-            )
-        return email_message_from_string(text)
-
-    @property
-    def version(self):
-        """Return the 'Version' metadata for the distribution package."""
-        return self.metadata['Version']
-
-    @property
-    def entry_points(self):
-        return EntryPoint._from_text(self.read_text('entry_points.txt'))
-
-    @property
-    def files(self):
-        """Files in this distribution.
-
-        :return: List of PackagePath for this distribution or None
-
-        Result is `None` if the metadata file that enumerates files
-        (i.e. RECORD for dist-info or SOURCES.txt for egg-info) is
-        missing.
-        Result may be empty if the metadata exists but is empty.
-        """
-        file_lines = self._read_files_distinfo() or self._read_files_egginfo()
-
-        def make_file(name, hash=None, size_str=None):
-            result = PackagePath(name)
-            result.hash = FileHash(hash) if hash else None
-            result.size = int(size_str) if size_str else None
-            result.dist = self
-            return result
-
-        return file_lines and list(starmap(make_file, csv.reader(file_lines)))
-
-    def _read_files_distinfo(self):
-        """
-        Read the lines of RECORD
-        """
-        text = self.read_text('RECORD')
-        return text and text.splitlines()
-
-    def _read_files_egginfo(self):
-        """
-        SOURCES.txt might contain literal commas, so wrap each line
-        in quotes.
-        """
-        text = self.read_text('SOURCES.txt')
-        return text and map('"{}"'.format, text.splitlines())
-
-    @property
-    def requires(self):
-        """Generated requirements specified for this Distribution"""
-        reqs = self._read_dist_info_reqs() or self._read_egg_info_reqs()
-        return reqs and list(reqs)
-
-    def _read_dist_info_reqs(self):
-        return self.metadata.get_all('Requires-Dist')
-
-    def _read_egg_info_reqs(self):
-        source = self.read_text('requires.txt')
-        return source and self._deps_from_requires_text(source)
-
-    @classmethod
-    def _deps_from_requires_text(cls, source):
-        section_pairs = cls._read_sections(source.splitlines())
-        sections = {
-            section: list(map(operator.itemgetter('line'), results))
-            for section, results in
-            itertools.groupby(section_pairs, operator.itemgetter('section'))
-            }
-        return cls._convert_egg_info_reqs_to_simple_reqs(sections)
-
-    @staticmethod
-    def _read_sections(lines):
-        section = None
-        for line in filter(None, lines):
-            section_match = re.match(r'\[(.*)\]$', line)
-            if section_match:
-                section = section_match.group(1)
-                continue
-            yield locals()
-
-    @staticmethod
-    def _convert_egg_info_reqs_to_simple_reqs(sections):
-        """
-        Historically, setuptools would solicit and store 'extra'
-        requirements, including those with environment markers,
-        in separate sections. More modern tools expect each
-        dependency to be defined separately, with any relevant
-        extras and environment markers attached directly to that
-        requirement. This method converts the former to the
-        latter. See _test_deps_from_requires_text for an example.
-        """
-        def make_condition(name):
-            return name and 'extra == "{name}"'.format(name=name)
-
-        def parse_condition(section):
-            section = section or ''
-            extra, sep, markers = section.partition(':')
-            if extra and markers:
-                markers = '({markers})'.format(markers=markers)
-            conditions = list(filter(None, [markers, make_condition(extra)]))
-            return '; ' + ' and '.join(conditions) if conditions else ''
-
-        for section, deps in sections.items():
-            for dep in deps:
-                yield dep + parse_condition(section)
-
-
-class DistributionFinder(MetaPathFinder):
-    """
-    A MetaPathFinder capable of discovering installed distributions.
-    """
-
-    class Context:
-        """
-        Keyword arguments presented by the caller to
-        ``distributions()`` or ``Distribution.discover()``
-        to narrow the scope of a search for distributions
-        in all DistributionFinders.
-
-        Each DistributionFinder may expect any parameters
-        and should attempt to honor the canonical
-        parameters defined below when appropriate.
-        """
-
-        name = None
-        """
-        Specific name for which a distribution finder should match.
-        A name of ``None`` matches all distributions.
-        """
-
-        def __init__(self, **kwargs):
-            vars(self).update(kwargs)
-
-        @property
-        def path(self):
-            """
-            The path that a distribution finder should search.
-
-            Typically refers to Python package paths and defaults
-            to ``sys.path``.
-            """
-            return vars(self).get('path', sys.path)
-
-    @abc.abstractmethod
-    def find_distributions(self, context=Context()):
-        """
-        Find distributions.
-
-        Return an iterable of all Distribution instances capable of
-        loading the metadata for packages matching the ``context``,
-        a DistributionFinder.Context instance.
-        """
-
-
-class FastPath:
-    """
-    Micro-optimized class for searching a path for
-    children.
-    """
-
-    def __init__(self, root):
-        self.root = str(root)
-        self.base = os.path.basename(self.root).lower()
-
-    def joinpath(self, child):
-        return pathlib.Path(self.root, child)
-
-    def children(self):
-        with suppress(Exception):
-            return os.listdir(self.root or '.')
-        with suppress(Exception):
-            return self.zip_children()
-        return []
-
-    def zip_children(self):
-        zip_path = zipp.Path(self.root)
-        names = zip_path.root.namelist()
-        self.joinpath = zip_path.joinpath
-
-        return unique_ordered(
-            child.split(posixpath.sep, 1)[0]
-            for child in names
-            )
-
-    def search(self, name):
-        return (
-            self.joinpath(child)
-            for child in self.children()
-            if name.matches(child, self.base)
-            )
-
-
-class Prepared:
-    """
-    A prepared search for metadata on a possibly-named package.
-    """
-    normalized = None
-    suffixes = '.dist-info', '.egg-info'
-    exact_matches = [''][:0]
-
-    def __init__(self, name):
-        self.name = name
-        if name is None:
-            return
-        self.normalized = self.normalize(name)
-        self.exact_matches = [
-            self.normalized + suffix for suffix in self.suffixes]
-
-    @staticmethod
-    def normalize(name):
-        """
-        PEP 503 normalization plus dashes as underscores.
-        """
-        return re.sub(r"[-_.]+", "-", name).lower().replace('-', '_')
-
-    @staticmethod
-    def legacy_normalize(name):
-        """
-        Normalize the package name as found in the convention in
-        older packaging tools versions and specs.
-        """
-        return name.lower().replace('-', '_')
-
-    def matches(self, cand, base):
-        low = cand.lower()
-        pre, ext = os.path.splitext(low)
-        name, sep, rest = pre.partition('-')
-        return (
-            low in self.exact_matches
-            or ext in self.suffixes and (
-                not self.normalized or
-                name.replace('.', '_') == self.normalized
-                )
-            # legacy case:
-            or self.is_egg(base) and low == 'egg-info'
-            )
-
-    def is_egg(self, base):
-        normalized = self.legacy_normalize(self.name or '')
-        prefix = normalized + '-' if normalized else ''
-        versionless_egg_name = normalized + '.egg' if self.name else ''
-        return (
-            base == versionless_egg_name
-            or base.startswith(prefix)
-            and base.endswith('.egg'))
-
-
-@install
-class MetadataPathFinder(NullFinder, DistributionFinder):
-    """A degenerate finder for distribution packages on the file system.
-
-    This finder supplies only a find_distributions() method for versions
-    of Python that do not have a PathFinder find_distributions().
-    """
-
-    def find_distributions(self, context=DistributionFinder.Context()):
-        """
-        Find distributions.
-
-        Return an iterable of all Distribution instances capable of
-        loading the metadata for packages matching ``context.name``
-        (or all names if ``None`` indicated) along the paths in the list
-        of directories ``context.path``.
-        """
-        found = self._search_paths(context.name, context.path)
-        return map(PathDistribution, found)
-
-    @classmethod
-    def _search_paths(cls, name, paths):
-        """Find metadata directories in paths heuristically."""
-        return itertools.chain.from_iterable(
-            path.search(Prepared(name))
-            for path in map(FastPath, paths)
-            )
-
-
-class PathDistribution(Distribution):
-    def __init__(self, path):
-        """Construct a distribution from a path to the metadata directory.
-
-        :param path: A pathlib.Path or similar object supporting
-                     .joinpath(), __div__, .parent, and .read_text().
-        """
-        self._path = path
-
-    def read_text(self, filename):
-        with suppress(FileNotFoundError, IsADirectoryError, KeyError,
-                      NotADirectoryError, PermissionError):
-            return self._path.joinpath(filename).read_text(encoding='utf-8')
-    read_text.__doc__ = Distribution.read_text.__doc__
-
-    def locate_file(self, path):
-        return self._path.parent / path
-
-
-def distribution(distribution_name):
-    """Get the ``Distribution`` instance for the named package.
-
-    :param distribution_name: The name of the distribution package as a string.
-    :return: A ``Distribution`` instance (or subclass thereof).
-    """
-    return Distribution.from_name(distribution_name)
-
-
-def distributions(**kwargs):
-    """Get all ``Distribution`` instances in the current environment.
-
-    :return: An iterable of ``Distribution`` instances.
-    """
-    return Distribution.discover(**kwargs)
-
-
-def metadata(distribution_name):
-    """Get the metadata for the named package.
-
-    :param distribution_name: The name of the distribution package to query.
-    :return: An email.Message containing the parsed metadata.
-    """
-    return Distribution.from_name(distribution_name).metadata
-
-
-def version(distribution_name):
-    """Get the version string for the named package.
-
-    :param distribution_name: The name of the distribution package to query.
-    :return: The version string for the package as defined in the package's
-        "Version" metadata key.
-    """
-    return distribution(distribution_name).version
-
-
-def entry_points():
-    """Return EntryPoint objects for all installed packages.
-
-    :return: EntryPoint objects for all installed packages.
-    """
-    eps = itertools.chain.from_iterable(
-        dist.entry_points for dist in distributions())
-    by_group = operator.attrgetter('group')
-    ordered = sorted(eps, key=by_group)
-    grouped = itertools.groupby(ordered, by_group)
-    return {
-        group: tuple(eps)
-        for group, eps in grouped
-        }
-
-
-def files(distribution_name):
-    """Return a list of files for the named package.
-
-    :param distribution_name: The name of the distribution package to query.
-    :return: List of files composing the distribution.
-    """
-    return distribution(distribution_name).files
-
-
-def requires(distribution_name):
-    """
-    Return a list of requirements for the named package.
-
-    :return: An iterator of requirements, suitable for
-    packaging.requirement.Requirement.
-    """
-    return distribution(distribution_name).requires
diff --git a/metaflow/_vendor/v3_5/importlib_metadata/_compat.py b/metaflow/_vendor/v3_5/importlib_metadata/_compat.py
deleted file mode 100644
index 303d4a22e85..00000000000
--- a/metaflow/_vendor/v3_5/importlib_metadata/_compat.py
+++ /dev/null
@@ -1,152 +0,0 @@
-from __future__ import absolute_import, unicode_literals
-
-import io
-import abc
-import sys
-import email
-
-
-if sys.version_info > (3,):  # pragma: nocover
-    import builtins
-    from configparser import ConfigParser
-    import contextlib
-    FileNotFoundError = builtins.FileNotFoundError
-    IsADirectoryError = builtins.IsADirectoryError
-    NotADirectoryError = builtins.NotADirectoryError
-    PermissionError = builtins.PermissionError
-    map = builtins.map
-    from itertools import filterfalse
-else:  # pragma: nocover
-    from backports.configparser import ConfigParser
-    from itertools import imap as map  # type: ignore
-    from itertools import ifilterfalse as filterfalse
-    import contextlib2 as contextlib
-    FileNotFoundError = IOError, OSError
-    IsADirectoryError = IOError, OSError
-    NotADirectoryError = IOError, OSError
-    PermissionError = IOError, OSError
-
-str = type('')
-
-suppress = contextlib.suppress
-
-if sys.version_info > (3, 5):  # pragma: nocover
-    import pathlib
-else:  # pragma: nocover
-    import pathlib2 as pathlib
-
-try:
-    ModuleNotFoundError = builtins.FileNotFoundError
-except (NameError, AttributeError):  # pragma: nocover
-    ModuleNotFoundError = ImportError  # type: ignore
-
-
-if sys.version_info >= (3,):  # pragma: nocover
-    from importlib.abc import MetaPathFinder
-else:  # pragma: nocover
-    class MetaPathFinder(object):
-        __metaclass__ = abc.ABCMeta
-
-
-__metaclass__ = type
-__all__ = [
-    'install', 'NullFinder', 'MetaPathFinder', 'ModuleNotFoundError',
-    'pathlib', 'ConfigParser', 'map', 'suppress', 'FileNotFoundError',
-    'NotADirectoryError', 'email_message_from_string',
-    ]
-
-
-def install(cls):
-    """
-    Class decorator for installation on sys.meta_path.
-
-    Adds the backport DistributionFinder to sys.meta_path and
-    attempts to disable the finder functionality of the stdlib
-    DistributionFinder.
-    """
-    sys.meta_path.append(cls())
-    disable_stdlib_finder()
-    return cls
-
-
-def disable_stdlib_finder():
-    """
-    Give the backport primacy for discovering path-based distributions
-    by monkey-patching the stdlib O_O.
-
-    See #91 for more background for rationale on this sketchy
-    behavior.
-    """
-    def matches(finder):
-        return (
-            getattr(finder, '__module__', None) == '_frozen_importlib_external'
-            and hasattr(finder, 'find_distributions')
-            )
-    for finder in filter(matches, sys.meta_path):  # pragma: nocover
-        del finder.find_distributions
-
-
-class NullFinder:
-    """
-    A "Finder" (aka "MetaClassFinder") that never finds any modules,
-    but may find distributions.
-    """
-    @staticmethod
-    def find_spec(*args, **kwargs):
-        return None
-
-    # In Python 2, the import system requires finders
-    # to have a find_module() method, but this usage
-    # is deprecated in Python 3 in favor of find_spec().
-    # For the purposes of this finder (i.e. being present
-    # on sys.meta_path but having no other import
-    # system functionality), the two methods are identical.
-    find_module = find_spec
-
-
-def py2_message_from_string(text):  # nocoverpy3
-    # Work around https://bugs.python.org/issue25545 where
-    # email.message_from_string cannot handle Unicode on Python 2.
-    io_buffer = io.StringIO(text)
-    return email.message_from_file(io_buffer)
-
-
-email_message_from_string = (
-    py2_message_from_string
-    if sys.version_info < (3,) else
-    email.message_from_string
-    )
-
-
-class PyPy_repr:
-    """
-    Override repr for EntryPoint objects on PyPy to avoid __iter__ access.
-    Ref #97, #102.
-    """
-    affected = hasattr(sys, 'pypy_version_info')
-
-    def __compat_repr__(self):  # pragma: nocover
-        def make_param(name):
-            value = getattr(self, name)
-            return '{name}={value!r}'.format(**locals())
-        params = ', '.join(map(make_param, self._fields))
-        return 'EntryPoint({params})'.format(**locals())
-
-    if affected:  # pragma: nocover
-        __repr__ = __compat_repr__
-    del affected
-
-
-# from itertools recipes
-def unique_everseen(iterable):  # pragma: nocover
-    "List unique elements, preserving order. Remember all elements ever seen."
-    seen = set()
-    seen_add = seen.add
-
-    for element in filterfalse(seen.__contains__, iterable):
-        seen_add(element)
-        yield element
-
-
-unique_ordered = (
-    unique_everseen if sys.version_info < (3, 7) else dict.fromkeys)
diff --git a/metaflow/_vendor/v3_5/__init__.py b/metaflow/_vendor/v3_7/__init__.py
similarity index 100%
rename from metaflow/_vendor/v3_5/__init__.py
rename to metaflow/_vendor/v3_7/__init__.py
diff --git a/metaflow/_vendor/v3_7/importlib_metadata.LICENSE b/metaflow/_vendor/v3_7/importlib_metadata.LICENSE
new file mode 100644
index 00000000000..be7e092b0b0
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata.LICENSE
@@ -0,0 +1,13 @@
+Copyright 2017-2019 Jason R. Coombs, Barry Warsaw
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/__init__.py b/metaflow/_vendor/v3_7/importlib_metadata/__init__.py
new file mode 100644
index 00000000000..443f4763c00
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/__init__.py
@@ -0,0 +1,1063 @@
+import os
+import re
+import abc
+import csv
+import sys
+from metaflow._vendor.v3_7 import zipp
+import email
+import pathlib
+import operator
+import textwrap
+import warnings
+import functools
+import itertools
+import posixpath
+import collections
+
+from . import _adapters, _meta
+from ._collections import FreezableDefaultDict, Pair
+from ._compat import (
+    NullFinder,
+    install,
+    pypy_partial,
+)
+from ._functools import method_cache, pass_none
+from ._itertools import always_iterable, unique_everseen
+from ._meta import PackageMetadata, SimplePath
+
+from contextlib import suppress
+from importlib import import_module
+from importlib.abc import MetaPathFinder
+from itertools import starmap
+from typing import List, Mapping, Optional, Union
+
+
+__all__ = [
+    'Distribution',
+    'DistributionFinder',
+    'PackageMetadata',
+    'PackageNotFoundError',
+    'distribution',
+    'distributions',
+    'entry_points',
+    'files',
+    'metadata',
+    'packages_distributions',
+    'requires',
+    'version',
+]
+
+
+class PackageNotFoundError(ModuleNotFoundError):
+    """The package was not found."""
+
+    def __str__(self):
+        return f"No package metadata was found for {self.name}"
+
+    @property
+    def name(self):
+        (name,) = self.args
+        return name
+
+
+class Sectioned:
+    """
+    A simple entry point config parser for performance
+
+    >>> for item in Sectioned.read(Sectioned._sample):
+    ...     print(item)
+    Pair(name='sec1', value='# comments ignored')
+    Pair(name='sec1', value='a = 1')
+    Pair(name='sec1', value='b = 2')
+    Pair(name='sec2', value='a = 2')
+
+    >>> res = Sectioned.section_pairs(Sectioned._sample)
+    >>> item = next(res)
+    >>> item.name
+    'sec1'
+    >>> item.value
+    Pair(name='a', value='1')
+    >>> item = next(res)
+    >>> item.value
+    Pair(name='b', value='2')
+    >>> item = next(res)
+    >>> item.name
+    'sec2'
+    >>> item.value
+    Pair(name='a', value='2')
+    >>> list(res)
+    []
+    """
+
+    _sample = textwrap.dedent(
+        """
+        [sec1]
+        # comments ignored
+        a = 1
+        b = 2
+
+        [sec2]
+        a = 2
+        """
+    ).lstrip()
+
+    @classmethod
+    def section_pairs(cls, text):
+        return (
+            section._replace(value=Pair.parse(section.value))
+            for section in cls.read(text, filter_=cls.valid)
+            if section.name is not None
+        )
+
+    @staticmethod
+    def read(text, filter_=None):
+        lines = filter(filter_, map(str.strip, text.splitlines()))
+        name = None
+        for value in lines:
+            section_match = value.startswith('[') and value.endswith(']')
+            if section_match:
+                name = value.strip('[]')
+                continue
+            yield Pair(name, value)
+
+    @staticmethod
+    def valid(line):
+        return line and not line.startswith('#')
+
+
+class DeprecatedTuple:
+    """
+    Provide subscript item access for backward compatibility.
+
+    >>> recwarn = getfixture('recwarn')
+    >>> ep = EntryPoint(name='name', value='value', group='group')
+    >>> ep[:]
+    ('name', 'value', 'group')
+    >>> ep[0]
+    'name'
+    >>> len(recwarn)
+    1
+    """
+
+    _warn = functools.partial(
+        warnings.warn,
+        "EntryPoint tuple interface is deprecated. Access members by name.",
+        DeprecationWarning,
+        stacklevel=pypy_partial(2),
+    )
+
+    def __getitem__(self, item):
+        self._warn()
+        return self._key()[item]
+
+
+class EntryPoint(DeprecatedTuple):
+    """An entry point as defined by Python packaging conventions.
+
+    See `the packaging docs on entry points
+    `_
+    for more information.
+    """
+
+    pattern = re.compile(
+        r'(?P[\w.]+)\s*'
+        r'(:\s*(?P[\w.]+))?\s*'
+        r'(?P\[.*\])?\s*$'
+    )
+    """
+    A regular expression describing the syntax for an entry point,
+    which might look like:
+
+        - module
+        - package.module
+        - package.module:attribute
+        - package.module:object.attribute
+        - package.module:attr [extra1, extra2]
+
+    Other combinations are possible as well.
+
+    The expression is lenient about whitespace around the ':',
+    following the attr, and following any extras.
+    """
+
+    dist: Optional['Distribution'] = None
+
+    def __init__(self, name, value, group):
+        vars(self).update(name=name, value=value, group=group)
+
+    def load(self):
+        """Load the entry point from its definition. If only a module
+        is indicated by the value, return that module. Otherwise,
+        return the named object.
+        """
+        match = self.pattern.match(self.value)
+        module = import_module(match.group('module'))
+        attrs = filter(None, (match.group('attr') or '').split('.'))
+        return functools.reduce(getattr, attrs, module)
+
+    @property
+    def module(self):
+        match = self.pattern.match(self.value)
+        return match.group('module')
+
+    @property
+    def attr(self):
+        match = self.pattern.match(self.value)
+        return match.group('attr')
+
+    @property
+    def extras(self):
+        match = self.pattern.match(self.value)
+        return list(re.finditer(r'\w+', match.group('extras') or ''))
+
+    def _for(self, dist):
+        vars(self).update(dist=dist)
+        return self
+
+    def __iter__(self):
+        """
+        Supply iter so one may construct dicts of EntryPoints by name.
+        """
+        msg = (
+            "Construction of dict of EntryPoints is deprecated in "
+            "favor of EntryPoints."
+        )
+        warnings.warn(msg, DeprecationWarning)
+        return iter((self.name, self))
+
+    def matches(self, **params):
+        attrs = (getattr(self, param) for param in params)
+        return all(map(operator.eq, params.values(), attrs))
+
+    def _key(self):
+        return self.name, self.value, self.group
+
+    def __lt__(self, other):
+        return self._key() < other._key()
+
+    def __eq__(self, other):
+        return self._key() == other._key()
+
+    def __setattr__(self, name, value):
+        raise AttributeError("EntryPoint objects are immutable.")
+
+    def __repr__(self):
+        return (
+            f'EntryPoint(name={self.name!r}, value={self.value!r}, '
+            f'group={self.group!r})'
+        )
+
+    def __hash__(self):
+        return hash(self._key())
+
+
+class DeprecatedList(list):
+    """
+    Allow an otherwise immutable object to implement mutability
+    for compatibility.
+
+    >>> recwarn = getfixture('recwarn')
+    >>> dl = DeprecatedList(range(3))
+    >>> dl[0] = 1
+    >>> dl.append(3)
+    >>> del dl[3]
+    >>> dl.reverse()
+    >>> dl.sort()
+    >>> dl.extend([4])
+    >>> dl.pop(-1)
+    4
+    >>> dl.remove(1)
+    >>> dl += [5]
+    >>> dl + [6]
+    [1, 2, 5, 6]
+    >>> dl + (6,)
+    [1, 2, 5, 6]
+    >>> dl.insert(0, 0)
+    >>> dl
+    [0, 1, 2, 5]
+    >>> dl == [0, 1, 2, 5]
+    True
+    >>> dl == (0, 1, 2, 5)
+    True
+    >>> len(recwarn)
+    1
+    """
+
+    _warn = functools.partial(
+        warnings.warn,
+        "EntryPoints list interface is deprecated. Cast to list if needed.",
+        DeprecationWarning,
+        stacklevel=pypy_partial(2),
+    )
+
+    def _wrap_deprecated_method(method_name: str):  # type: ignore
+        def wrapped(self, *args, **kwargs):
+            self._warn()
+            return getattr(super(), method_name)(*args, **kwargs)
+
+        return wrapped
+
+    for method_name in [
+        '__setitem__',
+        '__delitem__',
+        'append',
+        'reverse',
+        'extend',
+        'pop',
+        'remove',
+        '__iadd__',
+        'insert',
+        'sort',
+    ]:
+        locals()[method_name] = _wrap_deprecated_method(method_name)
+
+    def __add__(self, other):
+        if not isinstance(other, tuple):
+            self._warn()
+            other = tuple(other)
+        return self.__class__(tuple(self) + other)
+
+    def __eq__(self, other):
+        if not isinstance(other, tuple):
+            self._warn()
+            other = tuple(other)
+
+        return tuple(self).__eq__(other)
+
+
+class EntryPoints(DeprecatedList):
+    """
+    An immutable collection of selectable EntryPoint objects.
+    """
+
+    __slots__ = ()
+
+    def __getitem__(self, name):  # -> EntryPoint:
+        """
+        Get the EntryPoint in self matching name.
+        """
+        if isinstance(name, int):
+            warnings.warn(
+                "Accessing entry points by index is deprecated. "
+                "Cast to tuple if needed.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            return super().__getitem__(name)
+        try:
+            return next(iter(self.select(name=name)))
+        except StopIteration:
+            raise KeyError(name)
+
+    def select(self, **params):
+        """
+        Select entry points from self that match the
+        given parameters (typically group and/or name).
+        """
+        return EntryPoints(ep for ep in self if ep.matches(**params))
+
+    @property
+    def names(self):
+        """
+        Return the set of all names of all entry points.
+        """
+        return {ep.name for ep in self}
+
+    @property
+    def groups(self):
+        """
+        Return the set of all groups of all entry points.
+
+        For coverage while SelectableGroups is present.
+        >>> EntryPoints().groups
+        set()
+        """
+        return {ep.group for ep in self}
+
+    @classmethod
+    def _from_text_for(cls, text, dist):
+        return cls(ep._for(dist) for ep in cls._from_text(text))
+
+    @staticmethod
+    def _from_text(text):
+        return (
+            EntryPoint(name=item.value.name, value=item.value.value, group=item.name)
+            for item in Sectioned.section_pairs(text or '')
+        )
+
+
+class Deprecated:
+    """
+    Compatibility add-in for mapping to indicate that
+    mapping behavior is deprecated.
+
+    >>> recwarn = getfixture('recwarn')
+    >>> class DeprecatedDict(Deprecated, dict): pass
+    >>> dd = DeprecatedDict(foo='bar')
+    >>> dd.get('baz', None)
+    >>> dd['foo']
+    'bar'
+    >>> list(dd)
+    ['foo']
+    >>> list(dd.keys())
+    ['foo']
+    >>> 'foo' in dd
+    True
+    >>> list(dd.values())
+    ['bar']
+    >>> len(recwarn)
+    1
+    """
+
+    _warn = functools.partial(
+        warnings.warn,
+        "SelectableGroups dict interface is deprecated. Use select.",
+        DeprecationWarning,
+        stacklevel=pypy_partial(2),
+    )
+
+    def __getitem__(self, name):
+        self._warn()
+        return super().__getitem__(name)
+
+    def get(self, name, default=None):
+        self._warn()
+        return super().get(name, default)
+
+    def __iter__(self):
+        self._warn()
+        return super().__iter__()
+
+    def __contains__(self, *args):
+        self._warn()
+        return super().__contains__(*args)
+
+    def keys(self):
+        self._warn()
+        return super().keys()
+
+    def values(self):
+        self._warn()
+        return super().values()
+
+
+class SelectableGroups(Deprecated, dict):
+    """
+    A backward- and forward-compatible result from
+    entry_points that fully implements the dict interface.
+    """
+
+    @classmethod
+    def load(cls, eps):
+        by_group = operator.attrgetter('group')
+        ordered = sorted(eps, key=by_group)
+        grouped = itertools.groupby(ordered, by_group)
+        return cls((group, EntryPoints(eps)) for group, eps in grouped)
+
+    @property
+    def _all(self):
+        """
+        Reconstruct a list of all entrypoints from the groups.
+        """
+        groups = super(Deprecated, self).values()
+        return EntryPoints(itertools.chain.from_iterable(groups))
+
+    @property
+    def groups(self):
+        return self._all.groups
+
+    @property
+    def names(self):
+        """
+        for coverage:
+        >>> SelectableGroups().names
+        set()
+        """
+        return self._all.names
+
+    def select(self, **params):
+        if not params:
+            return self
+        return self._all.select(**params)
+
+
+class PackagePath(pathlib.PurePosixPath):
+    """A reference to a path in a package"""
+
+    def read_text(self, encoding='utf-8'):
+        with self.locate().open(encoding=encoding) as stream:
+            return stream.read()
+
+    def read_binary(self):
+        with self.locate().open('rb') as stream:
+            return stream.read()
+
+    def locate(self):
+        """Return a path-like object for this path"""
+        return self.dist.locate_file(self)
+
+
+class FileHash:
+    def __init__(self, spec):
+        self.mode, _, self.value = spec.partition('=')
+
+    def __repr__(self):
+        return f''
+
+
+class Distribution:
+    """A Python distribution package."""
+
+    @abc.abstractmethod
+    def read_text(self, filename):
+        """Attempt to load metadata file given by the name.
+
+        :param filename: The name of the file in the distribution info.
+        :return: The text if found, otherwise None.
+        """
+
+    @abc.abstractmethod
+    def locate_file(self, path):
+        """
+        Given a path to a file in this distribution, return a path
+        to it.
+        """
+
+    @classmethod
+    def from_name(cls, name):
+        """Return the Distribution for the given package name.
+
+        :param name: The name of the distribution package to search for.
+        :return: The Distribution instance (or subclass thereof) for the named
+            package, if found.
+        :raises PackageNotFoundError: When the named package's distribution
+            metadata cannot be found.
+        """
+        for resolver in cls._discover_resolvers():
+            dists = resolver(DistributionFinder.Context(name=name))
+            dist = next(iter(dists), None)
+            if dist is not None:
+                return dist
+        else:
+            raise PackageNotFoundError(name)
+
+    @classmethod
+    def discover(cls, **kwargs):
+        """Return an iterable of Distribution objects for all packages.
+
+        Pass a ``context`` or pass keyword arguments for constructing
+        a context.
+
+        :context: A ``DistributionFinder.Context`` object.
+        :return: Iterable of Distribution objects for all packages.
+        """
+        context = kwargs.pop('context', None)
+        if context and kwargs:
+            raise ValueError("cannot accept context and kwargs")
+        context = context or DistributionFinder.Context(**kwargs)
+        return itertools.chain.from_iterable(
+            resolver(context) for resolver in cls._discover_resolvers()
+        )
+
+    @staticmethod
+    def at(path):
+        """Return a Distribution for the indicated metadata path
+
+        :param path: a string or path-like object
+        :return: a concrete Distribution instance for the path
+        """
+        return PathDistribution(pathlib.Path(path))
+
+    @staticmethod
+    def _discover_resolvers():
+        """Search the meta_path for resolvers."""
+        declared = (
+            getattr(finder, 'find_distributions', None) for finder in sys.meta_path
+        )
+        return filter(None, declared)
+
+    @classmethod
+    def _local(cls, root='.'):
+        from pep517 import build, meta
+
+        system = build.compat_system(root)
+        builder = functools.partial(
+            meta.build,
+            source_dir=root,
+            system=system,
+        )
+        return PathDistribution(zipp.Path(meta.build_as_zip(builder)))
+
+    @property
+    def metadata(self) -> _meta.PackageMetadata:
+        """Return the parsed metadata for this Distribution.
+
+        The returned object will have keys that name the various bits of
+        metadata.  See PEP 566 for details.
+        """
+        text = (
+            self.read_text('METADATA')
+            or self.read_text('PKG-INFO')
+            # This last clause is here to support old egg-info files.  Its
+            # effect is to just end up using the PathDistribution's self._path
+            # (which points to the egg-info file) attribute unchanged.
+            or self.read_text('')
+        )
+        return _adapters.Message(email.message_from_string(text))
+
+    @property
+    def name(self):
+        """Return the 'Name' metadata for the distribution package."""
+        return self.metadata['Name']
+
+    @property
+    def _normalized_name(self):
+        """Return a normalized version of the name."""
+        return Prepared.normalize(self.name)
+
+    @property
+    def version(self):
+        """Return the 'Version' metadata for the distribution package."""
+        return self.metadata['Version']
+
+    @property
+    def entry_points(self):
+        return EntryPoints._from_text_for(self.read_text('entry_points.txt'), self)
+
+    @property
+    def files(self):
+        """Files in this distribution.
+
+        :return: List of PackagePath for this distribution or None
+
+        Result is `None` if the metadata file that enumerates files
+        (i.e. RECORD for dist-info or SOURCES.txt for egg-info) is
+        missing.
+        Result may be empty if the metadata exists but is empty.
+        """
+
+        def make_file(name, hash=None, size_str=None):
+            result = PackagePath(name)
+            result.hash = FileHash(hash) if hash else None
+            result.size = int(size_str) if size_str else None
+            result.dist = self
+            return result
+
+        @pass_none
+        def make_files(lines):
+            return list(starmap(make_file, csv.reader(lines)))
+
+        return make_files(self._read_files_distinfo() or self._read_files_egginfo())
+
+    def _read_files_distinfo(self):
+        """
+        Read the lines of RECORD
+        """
+        text = self.read_text('RECORD')
+        return text and text.splitlines()
+
+    def _read_files_egginfo(self):
+        """
+        SOURCES.txt might contain literal commas, so wrap each line
+        in quotes.
+        """
+        text = self.read_text('SOURCES.txt')
+        return text and map('"{}"'.format, text.splitlines())
+
+    @property
+    def requires(self):
+        """Generated requirements specified for this Distribution"""
+        reqs = self._read_dist_info_reqs() or self._read_egg_info_reqs()
+        return reqs and list(reqs)
+
+    def _read_dist_info_reqs(self):
+        return self.metadata.get_all('Requires-Dist')
+
+    def _read_egg_info_reqs(self):
+        source = self.read_text('requires.txt')
+        return source and self._deps_from_requires_text(source)
+
+    @classmethod
+    def _deps_from_requires_text(cls, source):
+        return cls._convert_egg_info_reqs_to_simple_reqs(Sectioned.read(source))
+
+    @staticmethod
+    def _convert_egg_info_reqs_to_simple_reqs(sections):
+        """
+        Historically, setuptools would solicit and store 'extra'
+        requirements, including those with environment markers,
+        in separate sections. More modern tools expect each
+        dependency to be defined separately, with any relevant
+        extras and environment markers attached directly to that
+        requirement. This method converts the former to the
+        latter. See _test_deps_from_requires_text for an example.
+        """
+
+        def make_condition(name):
+            return name and f'extra == "{name}"'
+
+        def quoted_marker(section):
+            section = section or ''
+            extra, sep, markers = section.partition(':')
+            if extra and markers:
+                markers = f'({markers})'
+            conditions = list(filter(None, [markers, make_condition(extra)]))
+            return '; ' + ' and '.join(conditions) if conditions else ''
+
+        def url_req_space(req):
+            """
+            PEP 508 requires a space between the url_spec and the quoted_marker.
+            Ref python/importlib_metadata#357.
+            """
+            # '@' is uniquely indicative of a url_req.
+            return ' ' * ('@' in req)
+
+        for section in sections:
+            space = url_req_space(section.value)
+            yield section.value + space + quoted_marker(section.name)
+
+
+class DistributionFinder(MetaPathFinder):
+    """
+    A MetaPathFinder capable of discovering installed distributions.
+    """
+
+    class Context:
+        """
+        Keyword arguments presented by the caller to
+        ``distributions()`` or ``Distribution.discover()``
+        to narrow the scope of a search for distributions
+        in all DistributionFinders.
+
+        Each DistributionFinder may expect any parameters
+        and should attempt to honor the canonical
+        parameters defined below when appropriate.
+        """
+
+        name = None
+        """
+        Specific name for which a distribution finder should match.
+        A name of ``None`` matches all distributions.
+        """
+
+        def __init__(self, **kwargs):
+            vars(self).update(kwargs)
+
+        @property
+        def path(self):
+            """
+            The sequence of directory path that a distribution finder
+            should search.
+
+            Typically refers to Python installed package paths such as
+            "site-packages" directories and defaults to ``sys.path``.
+            """
+            return vars(self).get('path', sys.path)
+
+    @abc.abstractmethod
+    def find_distributions(self, context=Context()):
+        """
+        Find distributions.
+
+        Return an iterable of all Distribution instances capable of
+        loading the metadata for packages matching the ``context``,
+        a DistributionFinder.Context instance.
+        """
+
+
+class FastPath:
+    """
+    Micro-optimized class for searching a path for
+    children.
+
+    >>> FastPath('').children()
+    ['...']
+    """
+
+    @functools.lru_cache()  # type: ignore
+    def __new__(cls, root):
+        return super().__new__(cls)
+
+    def __init__(self, root):
+        self.root = str(root)
+
+    def joinpath(self, child):
+        return pathlib.Path(self.root, child)
+
+    def children(self):
+        with suppress(Exception):
+            return os.listdir(self.root or '.')
+        with suppress(Exception):
+            return self.zip_children()
+        return []
+
+    def zip_children(self):
+        zip_path = zipp.Path(self.root)
+        names = zip_path.root.namelist()
+        self.joinpath = zip_path.joinpath
+
+        return dict.fromkeys(child.split(posixpath.sep, 1)[0] for child in names)
+
+    def search(self, name):
+        return self.lookup(self.mtime).search(name)
+
+    @property
+    def mtime(self):
+        with suppress(OSError):
+            return os.stat(self.root).st_mtime
+        self.lookup.cache_clear()
+
+    @method_cache
+    def lookup(self, mtime):
+        return Lookup(self)
+
+
+class Lookup:
+    def __init__(self, path: FastPath):
+        base = os.path.basename(path.root).lower()
+        base_is_egg = base.endswith(".egg")
+        self.infos = FreezableDefaultDict(list)
+        self.eggs = FreezableDefaultDict(list)
+
+        for child in path.children():
+            low = child.lower()
+            if low.endswith((".dist-info", ".egg-info")):
+                # rpartition is faster than splitext and suitable for this purpose.
+                name = low.rpartition(".")[0].partition("-")[0]
+                normalized = Prepared.normalize(name)
+                self.infos[normalized].append(path.joinpath(child))
+            elif base_is_egg and low == "egg-info":
+                name = base.rpartition(".")[0].partition("-")[0]
+                legacy_normalized = Prepared.legacy_normalize(name)
+                self.eggs[legacy_normalized].append(path.joinpath(child))
+
+        self.infos.freeze()
+        self.eggs.freeze()
+
+    def search(self, prepared):
+        infos = (
+            self.infos[prepared.normalized]
+            if prepared
+            else itertools.chain.from_iterable(self.infos.values())
+        )
+        eggs = (
+            self.eggs[prepared.legacy_normalized]
+            if prepared
+            else itertools.chain.from_iterable(self.eggs.values())
+        )
+        return itertools.chain(infos, eggs)
+
+
+class Prepared:
+    """
+    A prepared search for metadata on a possibly-named package.
+    """
+
+    normalized = None
+    legacy_normalized = None
+
+    def __init__(self, name):
+        self.name = name
+        if name is None:
+            return
+        self.normalized = self.normalize(name)
+        self.legacy_normalized = self.legacy_normalize(name)
+
+    @staticmethod
+    def normalize(name):
+        """
+        PEP 503 normalization plus dashes as underscores.
+        """
+        return re.sub(r"[-_.]+", "-", name).lower().replace('-', '_')
+
+    @staticmethod
+    def legacy_normalize(name):
+        """
+        Normalize the package name as found in the convention in
+        older packaging tools versions and specs.
+        """
+        return name.lower().replace('-', '_')
+
+    def __bool__(self):
+        return bool(self.name)
+
+
+@install
+class MetadataPathFinder(NullFinder, DistributionFinder):
+    """A degenerate finder for distribution packages on the file system.
+
+    This finder supplies only a find_distributions() method for versions
+    of Python that do not have a PathFinder find_distributions().
+    """
+
+    def find_distributions(self, context=DistributionFinder.Context()):
+        """
+        Find distributions.
+
+        Return an iterable of all Distribution instances capable of
+        loading the metadata for packages matching ``context.name``
+        (or all names if ``None`` indicated) along the paths in the list
+        of directories ``context.path``.
+        """
+        found = self._search_paths(context.name, context.path)
+        return map(PathDistribution, found)
+
+    @classmethod
+    def _search_paths(cls, name, paths):
+        """Find metadata directories in paths heuristically."""
+        prepared = Prepared(name)
+        return itertools.chain.from_iterable(
+            path.search(prepared) for path in map(FastPath, paths)
+        )
+
+    def invalidate_caches(cls):
+        FastPath.__new__.cache_clear()
+
+
+class PathDistribution(Distribution):
+    def __init__(self, path: SimplePath):
+        """Construct a distribution.
+
+        :param path: SimplePath indicating the metadata directory.
+        """
+        self._path = path
+
+    def read_text(self, filename):
+        with suppress(
+            FileNotFoundError,
+            IsADirectoryError,
+            KeyError,
+            NotADirectoryError,
+            PermissionError,
+        ):
+            return self._path.joinpath(filename).read_text(encoding='utf-8')
+
+    read_text.__doc__ = Distribution.read_text.__doc__
+
+    def locate_file(self, path):
+        return self._path.parent / path
+
+    @property
+    def _normalized_name(self):
+        """
+        Performance optimization: where possible, resolve the
+        normalized name from the file system path.
+        """
+        stem = os.path.basename(str(self._path))
+        return self._name_from_stem(stem) or super()._normalized_name
+
+    def _name_from_stem(self, stem):
+        name, ext = os.path.splitext(stem)
+        if ext not in ('.dist-info', '.egg-info'):
+            return
+        name, sep, rest = stem.partition('-')
+        return name
+
+
+def distribution(distribution_name):
+    """Get the ``Distribution`` instance for the named package.
+
+    :param distribution_name: The name of the distribution package as a string.
+    :return: A ``Distribution`` instance (or subclass thereof).
+    """
+    return Distribution.from_name(distribution_name)
+
+
+def distributions(**kwargs):
+    """Get all ``Distribution`` instances in the current environment.
+
+    :return: An iterable of ``Distribution`` instances.
+    """
+    return Distribution.discover(**kwargs)
+
+
+def metadata(distribution_name) -> _meta.PackageMetadata:
+    """Get the metadata for the named package.
+
+    :param distribution_name: The name of the distribution package to query.
+    :return: A PackageMetadata containing the parsed metadata.
+    """
+    return Distribution.from_name(distribution_name).metadata
+
+
+def version(distribution_name):
+    """Get the version string for the named package.
+
+    :param distribution_name: The name of the distribution package to query.
+    :return: The version string for the package as defined in the package's
+        "Version" metadata key.
+    """
+    return distribution(distribution_name).version
+
+
+def entry_points(**params) -> Union[EntryPoints, SelectableGroups]:
+    """Return EntryPoint objects for all installed packages.
+
+    Pass selection parameters (group or name) to filter the
+    result to entry points matching those properties (see
+    EntryPoints.select()).
+
+    For compatibility, returns ``SelectableGroups`` object unless
+    selection parameters are supplied. In the future, this function
+    will return ``EntryPoints`` instead of ``SelectableGroups``
+    even when no selection parameters are supplied.
+
+    For maximum future compatibility, pass selection parameters
+    or invoke ``.select`` with parameters on the result.
+
+    :return: EntryPoints or SelectableGroups for all installed packages.
+    """
+    norm_name = operator.attrgetter('_normalized_name')
+    unique = functools.partial(unique_everseen, key=norm_name)
+    eps = itertools.chain.from_iterable(
+        dist.entry_points for dist in unique(distributions())
+    )
+    return SelectableGroups.load(eps).select(**params)
+
+
+def files(distribution_name):
+    """Return a list of files for the named package.
+
+    :param distribution_name: The name of the distribution package to query.
+    :return: List of files composing the distribution.
+    """
+    return distribution(distribution_name).files
+
+
+def requires(distribution_name):
+    """
+    Return a list of requirements for the named package.
+
+    :return: An iterator of requirements, suitable for
+        packaging.requirement.Requirement.
+    """
+    return distribution(distribution_name).requires
+
+
+def packages_distributions() -> Mapping[str, List[str]]:
+    """
+    Return a mapping of top-level packages to their
+    distributions.
+
+    >>> import collections.abc
+    >>> pkgs = packages_distributions()
+    >>> all(isinstance(dist, collections.abc.Sequence) for dist in pkgs.values())
+    True
+    """
+    pkg_to_dist = collections.defaultdict(list)
+    for dist in distributions():
+        for pkg in _top_level_declared(dist) or _top_level_inferred(dist):
+            pkg_to_dist[pkg].append(dist.metadata['Name'])
+    return dict(pkg_to_dist)
+
+
+def _top_level_declared(dist):
+    return (dist.read_text('top_level.txt') or '').split()
+
+
+def _top_level_inferred(dist):
+    return {
+        f.parts[0] if len(f.parts) > 1 else f.with_suffix('').name
+        for f in always_iterable(dist.files)
+        if f.suffix == ".py"
+    }
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_adapters.py b/metaflow/_vendor/v3_7/importlib_metadata/_adapters.py
new file mode 100644
index 00000000000..aa460d3eda5
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_adapters.py
@@ -0,0 +1,68 @@
+import re
+import textwrap
+import email.message
+
+from ._text import FoldedCase
+
+
+class Message(email.message.Message):
+    multiple_use_keys = set(
+        map(
+            FoldedCase,
+            [
+                'Classifier',
+                'Obsoletes-Dist',
+                'Platform',
+                'Project-URL',
+                'Provides-Dist',
+                'Provides-Extra',
+                'Requires-Dist',
+                'Requires-External',
+                'Supported-Platform',
+                'Dynamic',
+            ],
+        )
+    )
+    """
+    Keys that may be indicated multiple times per PEP 566.
+    """
+
+    def __new__(cls, orig: email.message.Message):
+        res = super().__new__(cls)
+        vars(res).update(vars(orig))
+        return res
+
+    def __init__(self, *args, **kwargs):
+        self._headers = self._repair_headers()
+
+    # suppress spurious error from mypy
+    def __iter__(self):
+        return super().__iter__()
+
+    def _repair_headers(self):
+        def redent(value):
+            "Correct for RFC822 indentation"
+            if not value or '\n' not in value:
+                return value
+            return textwrap.dedent(' ' * 8 + value)
+
+        headers = [(key, redent(value)) for key, value in vars(self)['_headers']]
+        if self._payload:
+            headers.append(('Description', self.get_payload()))
+        return headers
+
+    @property
+    def json(self):
+        """
+        Convert PackageMetadata to a JSON-compatible format
+        per PEP 0566.
+        """
+
+        def transform(key):
+            value = self.get_all(key) if key in self.multiple_use_keys else self[key]
+            if key == 'Keywords':
+                value = re.split(r'\s+', value)
+            tk = key.lower().replace('-', '_')
+            return tk, value
+
+        return dict(map(transform, map(FoldedCase, self)))
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_collections.py b/metaflow/_vendor/v3_7/importlib_metadata/_collections.py
new file mode 100644
index 00000000000..cf0954e1a30
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_collections.py
@@ -0,0 +1,30 @@
+import collections
+
+
+# from jaraco.collections 3.3
+class FreezableDefaultDict(collections.defaultdict):
+    """
+    Often it is desirable to prevent the mutation of
+    a default dict after its initial construction, such
+    as to prevent mutation during iteration.
+
+    >>> dd = FreezableDefaultDict(list)
+    >>> dd[0].append('1')
+    >>> dd.freeze()
+    >>> dd[1]
+    []
+    >>> len(dd)
+    1
+    """
+
+    def __missing__(self, key):
+        return getattr(self, '_frozen', super().__missing__)(key)
+
+    def freeze(self):
+        self._frozen = lambda key: self.default_factory()
+
+
+class Pair(collections.namedtuple('Pair', 'name value')):
+    @classmethod
+    def parse(cls, text):
+        return cls(*map(str.strip, text.split("=", 1)))
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_compat.py b/metaflow/_vendor/v3_7/importlib_metadata/_compat.py
new file mode 100644
index 00000000000..173eebe017c
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_compat.py
@@ -0,0 +1,71 @@
+import sys
+import platform
+
+
+__all__ = ['install', 'NullFinder', 'Protocol']
+
+
+try:
+    from typing import Protocol
+except ImportError:  # pragma: no cover
+    from metaflow._vendor.v3_7.typing_extensions import Protocol  # type: ignore
+
+
+def install(cls):
+    """
+    Class decorator for installation on sys.meta_path.
+
+    Adds the backport DistributionFinder to sys.meta_path and
+    attempts to disable the finder functionality of the stdlib
+    DistributionFinder.
+    """
+    sys.meta_path.append(cls())
+    disable_stdlib_finder()
+    return cls
+
+
+def disable_stdlib_finder():
+    """
+    Give the backport primacy for discovering path-based distributions
+    by monkey-patching the stdlib O_O.
+
+    See #91 for more background for rationale on this sketchy
+    behavior.
+    """
+
+    def matches(finder):
+        return getattr(
+            finder, '__module__', None
+        ) == '_frozen_importlib_external' and hasattr(finder, 'find_distributions')
+
+    for finder in filter(matches, sys.meta_path):  # pragma: nocover
+        del finder.find_distributions
+
+
+class NullFinder:
+    """
+    A "Finder" (aka "MetaClassFinder") that never finds any modules,
+    but may find distributions.
+    """
+
+    @staticmethod
+    def find_spec(*args, **kwargs):
+        return None
+
+    # In Python 2, the import system requires finders
+    # to have a find_module() method, but this usage
+    # is deprecated in Python 3 in favor of find_spec().
+    # For the purposes of this finder (i.e. being present
+    # on sys.meta_path but having no other import
+    # system functionality), the two methods are identical.
+    find_module = find_spec
+
+
+def pypy_partial(val):
+    """
+    Adjust for variable stacklevel on partial under PyPy.
+
+    Workaround for #327.
+    """
+    is_pypy = platform.python_implementation() == 'PyPy'
+    return val + is_pypy
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_functools.py b/metaflow/_vendor/v3_7/importlib_metadata/_functools.py
new file mode 100644
index 00000000000..71f66bd03cb
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_functools.py
@@ -0,0 +1,104 @@
+import types
+import functools
+
+
+# from jaraco.functools 3.3
+def method_cache(method, cache_wrapper=None):
+    """
+    Wrap lru_cache to support storing the cache data in the object instances.
+
+    Abstracts the common paradigm where the method explicitly saves an
+    underscore-prefixed protected property on first call and returns that
+    subsequently.
+
+    >>> class MyClass:
+    ...     calls = 0
+    ...
+    ...     @method_cache
+    ...     def method(self, value):
+    ...         self.calls += 1
+    ...         return value
+
+    >>> a = MyClass()
+    >>> a.method(3)
+    3
+    >>> for x in range(75):
+    ...     res = a.method(x)
+    >>> a.calls
+    75
+
+    Note that the apparent behavior will be exactly like that of lru_cache
+    except that the cache is stored on each instance, so values in one
+    instance will not flush values from another, and when an instance is
+    deleted, so are the cached values for that instance.
+
+    >>> b = MyClass()
+    >>> for x in range(35):
+    ...     res = b.method(x)
+    >>> b.calls
+    35
+    >>> a.method(0)
+    0
+    >>> a.calls
+    75
+
+    Note that if method had been decorated with ``functools.lru_cache()``,
+    a.calls would have been 76 (due to the cached value of 0 having been
+    flushed by the 'b' instance).
+
+    Clear the cache with ``.cache_clear()``
+
+    >>> a.method.cache_clear()
+
+    Same for a method that hasn't yet been called.
+
+    >>> c = MyClass()
+    >>> c.method.cache_clear()
+
+    Another cache wrapper may be supplied:
+
+    >>> cache = functools.lru_cache(maxsize=2)
+    >>> MyClass.method2 = method_cache(lambda self: 3, cache_wrapper=cache)
+    >>> a = MyClass()
+    >>> a.method2()
+    3
+
+    Caution - do not subsequently wrap the method with another decorator, such
+    as ``@property``, which changes the semantics of the function.
+
+    See also
+    http://code.activestate.com/recipes/577452-a-memoize-decorator-for-instance-methods/
+    for another implementation and additional justification.
+    """
+    cache_wrapper = cache_wrapper or functools.lru_cache()
+
+    def wrapper(self, *args, **kwargs):
+        # it's the first call, replace the method with a cached, bound method
+        bound_method = types.MethodType(method, self)
+        cached_method = cache_wrapper(bound_method)
+        setattr(self, method.__name__, cached_method)
+        return cached_method(*args, **kwargs)
+
+    # Support cache clear even before cache has been created.
+    wrapper.cache_clear = lambda: None
+
+    return wrapper
+
+
+# From jaraco.functools 3.3
+def pass_none(func):
+    """
+    Wrap func so it's not called if its first param is None
+
+    >>> print_text = pass_none(print)
+    >>> print_text('text')
+    text
+    >>> print_text(None)
+    """
+
+    @functools.wraps(func)
+    def wrapper(param, *args, **kwargs):
+        if param is not None:
+            return func(param, *args, **kwargs)
+
+    return wrapper
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_itertools.py b/metaflow/_vendor/v3_7/importlib_metadata/_itertools.py
new file mode 100644
index 00000000000..d4ca9b9140e
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_itertools.py
@@ -0,0 +1,73 @@
+from itertools import filterfalse
+
+
+def unique_everseen(iterable, key=None):
+    "List unique elements, preserving order. Remember all elements ever seen."
+    # unique_everseen('AAAABBBCCDAABBB') --> A B C D
+    # unique_everseen('ABBCcAD', str.lower) --> A B C D
+    seen = set()
+    seen_add = seen.add
+    if key is None:
+        for element in filterfalse(seen.__contains__, iterable):
+            seen_add(element)
+            yield element
+    else:
+        for element in iterable:
+            k = key(element)
+            if k not in seen:
+                seen_add(k)
+                yield element
+
+
+# copied from more_itertools 8.8
+def always_iterable(obj, base_type=(str, bytes)):
+    """If *obj* is iterable, return an iterator over its items::
+
+        >>> obj = (1, 2, 3)
+        >>> list(always_iterable(obj))
+        [1, 2, 3]
+
+    If *obj* is not iterable, return a one-item iterable containing *obj*::
+
+        >>> obj = 1
+        >>> list(always_iterable(obj))
+        [1]
+
+    If *obj* is ``None``, return an empty iterable:
+
+        >>> obj = None
+        >>> list(always_iterable(None))
+        []
+
+    By default, binary and text strings are not considered iterable::
+
+        >>> obj = 'foo'
+        >>> list(always_iterable(obj))
+        ['foo']
+
+    If *base_type* is set, objects for which ``isinstance(obj, base_type)``
+    returns ``True`` won't be considered iterable.
+
+        >>> obj = {'a': 1}
+        >>> list(always_iterable(obj))  # Iterate over the dict's keys
+        ['a']
+        >>> list(always_iterable(obj, base_type=dict))  # Treat dicts as a unit
+        [{'a': 1}]
+
+    Set *base_type* to ``None`` to avoid any special handling and treat objects
+    Python considers iterable as iterable:
+
+        >>> obj = 'foo'
+        >>> list(always_iterable(obj, base_type=None))
+        ['f', 'o', 'o']
+    """
+    if obj is None:
+        return iter(())
+
+    if (base_type is not None) and isinstance(obj, base_type):
+        return iter((obj,))
+
+    try:
+        return iter(obj)
+    except TypeError:
+        return iter((obj,))
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_meta.py b/metaflow/_vendor/v3_7/importlib_metadata/_meta.py
new file mode 100644
index 00000000000..37ee43e6ef4
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_meta.py
@@ -0,0 +1,48 @@
+from ._compat import Protocol
+from typing import Any, Dict, Iterator, List, TypeVar, Union
+
+
+_T = TypeVar("_T")
+
+
+class PackageMetadata(Protocol):
+    def __len__(self) -> int:
+        ...  # pragma: no cover
+
+    def __contains__(self, item: str) -> bool:
+        ...  # pragma: no cover
+
+    def __getitem__(self, key: str) -> str:
+        ...  # pragma: no cover
+
+    def __iter__(self) -> Iterator[str]:
+        ...  # pragma: no cover
+
+    def get_all(self, name: str, failobj: _T = ...) -> Union[List[Any], _T]:
+        """
+        Return all values associated with a possibly multi-valued key.
+        """
+
+    @property
+    def json(self) -> Dict[str, Union[str, List[str]]]:
+        """
+        A JSON-compatible form of the metadata.
+        """
+
+
+class SimplePath(Protocol):
+    """
+    A minimal subset of pathlib.Path required by PathDistribution.
+    """
+
+    def joinpath(self) -> 'SimplePath':
+        ...  # pragma: no cover
+
+    def __truediv__(self) -> 'SimplePath':
+        ...  # pragma: no cover
+
+    def parent(self) -> 'SimplePath':
+        ...  # pragma: no cover
+
+    def read_text(self) -> str:
+        ...  # pragma: no cover
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/_text.py b/metaflow/_vendor/v3_7/importlib_metadata/_text.py
new file mode 100644
index 00000000000..c88cfbb2349
--- /dev/null
+++ b/metaflow/_vendor/v3_7/importlib_metadata/_text.py
@@ -0,0 +1,99 @@
+import re
+
+from ._functools import method_cache
+
+
+# from jaraco.text 3.5
+class FoldedCase(str):
+    """
+    A case insensitive string class; behaves just like str
+    except compares equal when the only variation is case.
+
+    >>> s = FoldedCase('hello world')
+
+    >>> s == 'Hello World'
+    True
+
+    >>> 'Hello World' == s
+    True
+
+    >>> s != 'Hello World'
+    False
+
+    >>> s.index('O')
+    4
+
+    >>> s.split('O')
+    ['hell', ' w', 'rld']
+
+    >>> sorted(map(FoldedCase, ['GAMMA', 'alpha', 'Beta']))
+    ['alpha', 'Beta', 'GAMMA']
+
+    Sequence membership is straightforward.
+
+    >>> "Hello World" in [s]
+    True
+    >>> s in ["Hello World"]
+    True
+
+    You may test for set inclusion, but candidate and elements
+    must both be folded.
+
+    >>> FoldedCase("Hello World") in {s}
+    True
+    >>> s in {FoldedCase("Hello World")}
+    True
+
+    String inclusion works as long as the FoldedCase object
+    is on the right.
+
+    >>> "hello" in FoldedCase("Hello World")
+    True
+
+    But not if the FoldedCase object is on the left:
+
+    >>> FoldedCase('hello') in 'Hello World'
+    False
+
+    In that case, use in_:
+
+    >>> FoldedCase('hello').in_('Hello World')
+    True
+
+    >>> FoldedCase('hello') > FoldedCase('Hello')
+    False
+    """
+
+    def __lt__(self, other):
+        return self.lower() < other.lower()
+
+    def __gt__(self, other):
+        return self.lower() > other.lower()
+
+    def __eq__(self, other):
+        return self.lower() == other.lower()
+
+    def __ne__(self, other):
+        return self.lower() != other.lower()
+
+    def __hash__(self):
+        return hash(self.lower())
+
+    def __contains__(self, other):
+        return super().lower().__contains__(other.lower())
+
+    def in_(self, other):
+        "Does self appear in other?"
+        return self in FoldedCase(other)
+
+    # cache lower since it's likely to be called frequently.
+    @method_cache
+    def lower(self):
+        return super().lower()
+
+    def index(self, sub):
+        return self.lower().index(sub.lower())
+
+    def split(self, splitter=' ', maxsplit=0):
+        pattern = re.compile(re.escape(splitter), re.I)
+        return pattern.split(self, maxsplit)
diff --git a/metaflow/_vendor/v3_7/importlib_metadata/py.typed b/metaflow/_vendor/v3_7/importlib_metadata/py.typed
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/metaflow/_vendor/v3_7/typeguard.LICENSE b/metaflow/_vendor/v3_7/typeguard.LICENSE
new file mode 100644
index 00000000000..07806f8af9d
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard.LICENSE
@@ -0,0 +1,19 @@
+This is the MIT license: http://www.opensource.org/licenses/mit-license.php
+
+Copyright (c) Alex GrΓΆnholm
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this
+software and associated documentation files (the "Software"), to deal in the Software
+without restriction, including without limitation the rights to use, copy, modify, merge,
+publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
+to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or
+substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
+PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
+FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.
diff --git a/metaflow/_vendor/v3_7/typeguard/__init__.py b/metaflow/_vendor/v3_7/typeguard/__init__.py
new file mode 100644
index 00000000000..6781cad094b
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/__init__.py
@@ -0,0 +1,48 @@
+import os
+from typing import Any
+
+from ._checkers import TypeCheckerCallable as TypeCheckerCallable
+from ._checkers import TypeCheckLookupCallback as TypeCheckLookupCallback
+from ._checkers import check_type_internal as check_type_internal
+from ._checkers import checker_lookup_functions as checker_lookup_functions
+from ._checkers import load_plugins as load_plugins
+from ._config import CollectionCheckStrategy as CollectionCheckStrategy
+from ._config import ForwardRefPolicy as ForwardRefPolicy
+from ._config import TypeCheckConfiguration as TypeCheckConfiguration
+from ._decorators import typechecked as typechecked
+from ._decorators import typeguard_ignore as typeguard_ignore
+from ._exceptions import InstrumentationWarning as InstrumentationWarning
+from ._exceptions import TypeCheckError as TypeCheckError
+from ._exceptions import TypeCheckWarning as TypeCheckWarning
+from ._exceptions import TypeHintWarning as TypeHintWarning
+from ._functions import TypeCheckFailCallback as TypeCheckFailCallback
+from ._functions import check_type as check_type
+from ._functions import warn_on_error as warn_on_error
+from ._importhook import ImportHookManager as ImportHookManager
+from ._importhook import TypeguardFinder as TypeguardFinder
+from ._importhook import install_import_hook as install_import_hook
+from ._memo import TypeCheckMemo as TypeCheckMemo
+from ._suppression import suppress_type_checks as suppress_type_checks
+from ._utils import Unset as Unset
+
+# Re-export imports so they look like they live directly in this package
+for value in list(locals().values()):
+    if getattr(value, "__module__", "").startswith(f"{__name__}."):
+        value.__module__ = __name__
+
+
+config: TypeCheckConfiguration
+
+
+def __getattr__(name: str) -> Any:
+    if name == "config":
+        from ._config import global_config
+
+        return global_config
+
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+
+# Automatically load checker lookup functions unless explicitly disabled
+if "TYPEGUARD_DISABLE_PLUGIN_AUTOLOAD" not in os.environ:
+    load_plugins()
diff --git a/metaflow/_vendor/v3_7/typeguard/_checkers.py b/metaflow/_vendor/v3_7/typeguard/_checkers.py
new file mode 100644
index 00000000000..d329b59f1a1
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_checkers.py
@@ -0,0 +1,906 @@
+from __future__ import annotations
+
+import collections.abc
+import inspect
+import sys
+import types
+import typing
+import warnings
+from enum import Enum
+from inspect import Parameter, isclass, isfunction
+from io import BufferedIOBase, IOBase, RawIOBase, TextIOBase
+from textwrap import indent
+from typing import (
+    IO,
+    AbstractSet,
+    Any,
+    BinaryIO,
+    Callable,
+    Dict,
+    ForwardRef,
+    List,
+    Mapping,
+    MutableMapping,
+    NewType,
+    Optional,
+    Sequence,
+    Set,
+    TextIO,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+)
+from unittest.mock import Mock
+
+try:
+    from metaflow._vendor.v3_7 import typing_extensions
+except ImportError:
+    typing_extensions = None  # type: ignore[assignment]
+
+from ._config import ForwardRefPolicy
+from ._exceptions import TypeCheckError, TypeHintWarning
+from ._memo import TypeCheckMemo
+from ._utils import evaluate_forwardref, get_stacklevel, get_type_name, qualified_name
+
+if sys.version_info >= (3, 11):
+    from typing import (
+        Annotated,
+        TypeAlias,
+        get_args,
+        get_origin,
+        get_type_hints,
+        is_typeddict,
+    )
+
+    SubclassableAny = Any
+else:
+    from metaflow._vendor.v3_7.typing_extensions import (
+        Annotated,
+        TypeAlias,
+        get_args,
+        get_origin,
+        get_type_hints,
+        is_typeddict,
+    )
+    from metaflow._vendor.v3_7.typing_extensions import Any as SubclassableAny
+
+if sys.version_info >= (3, 10):
+    from importlib.metadata import entry_points
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.v3_7.importlib_metadata import entry_points
+    from metaflow._vendor.v3_7.typing_extensions import ParamSpec
+
+TypeCheckerCallable: TypeAlias = Callable[
+    [Any, Any, Tuple[Any, ...], TypeCheckMemo], Any
+]
+TypeCheckLookupCallback: TypeAlias = Callable[
+    [Any, Tuple[Any, ...], Tuple[Any, ...]], Optional[TypeCheckerCallable]
+]
+
+checker_lookup_functions: list[TypeCheckLookupCallback] = []
+
+
+# Sentinel
+_missing = object()
+
+# Lifted from mypy.sharedparse
+BINARY_MAGIC_METHODS = {
+    "__add__",
+    "__and__",
+    "__cmp__",
+    "__divmod__",
+    "__div__",
+    "__eq__",
+    "__floordiv__",
+    "__ge__",
+    "__gt__",
+    "__iadd__",
+    "__iand__",
+    "__idiv__",
+    "__ifloordiv__",
+    "__ilshift__",
+    "__imatmul__",
+    "__imod__",
+    "__imul__",
+    "__ior__",
+    "__ipow__",
+    "__irshift__",
+    "__isub__",
+    "__itruediv__",
+    "__ixor__",
+    "__le__",
+    "__lshift__",
+    "__lt__",
+    "__matmul__",
+    "__mod__",
+    "__mul__",
+    "__ne__",
+    "__or__",
+    "__pow__",
+    "__radd__",
+    "__rand__",
+    "__rdiv__",
+    "__rfloordiv__",
+    "__rlshift__",
+    "__rmatmul__",
+    "__rmod__",
+    "__rmul__",
+    "__ror__",
+    "__rpow__",
+    "__rrshift__",
+    "__rshift__",
+    "__rsub__",
+    "__rtruediv__",
+    "__rxor__",
+    "__sub__",
+    "__truediv__",
+    "__xor__",
+}
+
+
+def check_callable(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not callable(value):
+        raise TypeCheckError("is not callable")
+
+    if args:
+        try:
+            signature = inspect.signature(value)
+        except (TypeError, ValueError):
+            return
+
+        argument_types = args[0]
+        if isinstance(argument_types, list) and not any(
+            type(item) is ParamSpec for item in argument_types
+        ):
+            # The callable must not have keyword-only arguments without defaults
+            unfulfilled_kwonlyargs = [
+                param.name
+                for param in signature.parameters.values()
+                if param.kind == Parameter.KEYWORD_ONLY
+                and param.default == Parameter.empty
+            ]
+            if unfulfilled_kwonlyargs:
+                raise TypeCheckError(
+                    f"has mandatory keyword-only arguments in its declaration: "
+                    f'{", ".join(unfulfilled_kwonlyargs)}'
+                )
+
+            num_mandatory_args = len(
+                [
+                    param.name
+                    for param in signature.parameters.values()
+                    if param.kind
+                    in (Parameter.POSITIONAL_ONLY, Parameter.POSITIONAL_OR_KEYWORD)
+                    and param.default is Parameter.empty
+                ]
+            )
+            has_varargs = any(
+                param
+                for param in signature.parameters.values()
+                if param.kind == Parameter.VAR_POSITIONAL
+            )
+
+            if num_mandatory_args > len(argument_types):
+                raise TypeCheckError(
+                    f"has too many arguments in its declaration; expected "
+                    f"{len(argument_types)} but {num_mandatory_args} argument(s) "
+                    f"declared"
+                )
+            elif not has_varargs and num_mandatory_args < len(argument_types):
+                raise TypeCheckError(
+                    f"has too few arguments in its declaration; expected "
+                    f"{len(argument_types)} but {num_mandatory_args} argument(s) "
+                    f"declared"
+                )
+
+
+def check_mapping(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is Dict or origin_type is dict:
+        if not isinstance(value, dict):
+            raise TypeCheckError("is not a dict")
+    if origin_type is MutableMapping or origin_type is collections.abc.MutableMapping:
+        if not isinstance(value, collections.abc.MutableMapping):
+            raise TypeCheckError("is not a mutable mapping")
+    elif not isinstance(value, collections.abc.Mapping):
+        raise TypeCheckError("is not a mapping")
+
+    if args:
+        key_type, value_type = args
+        if key_type is not Any or value_type is not Any:
+            samples = memo.config.collection_check_strategy.iterate_samples(
+                value.items()
+            )
+            for k, v in samples:
+                try:
+                    check_type_internal(k, key_type, memo)
+                except TypeCheckError as exc:
+                    exc.append_path_element(f"key {k!r}")
+                    raise
+
+                try:
+                    check_type_internal(v, value_type, memo)
+                except TypeCheckError as exc:
+                    exc.append_path_element(f"value of key {k!r}")
+                    raise
+
+
+def check_typed_dict(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, dict):
+        raise TypeCheckError("is not a dict")
+
+    declared_keys = frozenset(origin_type.__annotations__)
+    if hasattr(origin_type, "__required_keys__"):
+        required_keys = origin_type.__required_keys__
+    else:  # py3.8 and lower
+        required_keys = declared_keys if origin_type.__total__ else frozenset()
+
+    existing_keys = frozenset(value)
+    extra_keys = existing_keys - declared_keys
+    if extra_keys:
+        keys_formatted = ", ".join(f'"{key}"' for key in sorted(extra_keys, key=repr))
+        raise TypeCheckError(f"has unexpected extra key(s): {keys_formatted}")
+
+    missing_keys = required_keys - existing_keys
+    if missing_keys:
+        keys_formatted = ", ".join(f'"{key}"' for key in sorted(missing_keys, key=repr))
+        raise TypeCheckError(f"is missing required key(s): {keys_formatted}")
+
+    for key, argtype in get_type_hints(origin_type).items():
+        argvalue = value.get(key, _missing)
+        if argvalue is not _missing:
+            try:
+                check_type_internal(argvalue, argtype, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"value of key {key!r}")
+                raise
+
+
+def check_list(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, list):
+        raise TypeCheckError("is not a list")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, v in enumerate(samples):
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_sequence(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, collections.abc.Sequence):
+        raise TypeCheckError("is not a sequence")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, v in enumerate(samples):
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_set(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is frozenset:
+        if not isinstance(value, frozenset):
+            raise TypeCheckError("is not a frozenset")
+    elif not isinstance(value, AbstractSet):
+        raise TypeCheckError("is not a set")
+
+    if args and args != (Any,):
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for v in samples:
+            try:
+                check_type_internal(v, args[0], memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"[{v}]")
+                raise
+
+
+def check_tuple(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    # Specialized check for NamedTuples
+    field_types = getattr(origin_type, "__annotations__", None)
+    if field_types is None and sys.version_info < (3, 8):
+        field_types = getattr(origin_type, "_field_types", None)
+
+    if field_types:
+        if not isinstance(value, origin_type):
+            raise TypeCheckError(
+                f"is not a named tuple of type {qualified_name(origin_type)}"
+            )
+
+        for name, field_type in field_types.items():
+            try:
+                check_type_internal(getattr(value, name), field_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"attribute {name!r}")
+                raise
+
+        return
+    elif not isinstance(value, tuple):
+        raise TypeCheckError("is not a tuple")
+
+    if args:
+        # Python 3.6+
+        use_ellipsis = args[-1] is Ellipsis
+        tuple_params = args[: -1 if use_ellipsis else None]
+    else:
+        # Unparametrized Tuple or plain tuple
+        return
+
+    if use_ellipsis:
+        element_type = tuple_params[0]
+        samples = memo.config.collection_check_strategy.iterate_samples(value)
+        for i, element in enumerate(samples):
+            try:
+                check_type_internal(element, element_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+    elif tuple_params == ((),):
+        if value != ():
+            raise TypeCheckError("is not an empty tuple")
+    else:
+        if len(value) != len(tuple_params):
+            raise TypeCheckError(
+                f"has wrong number of elements (expected {len(tuple_params)}, got "
+                f"{len(value)} instead)"
+            )
+
+        for i, (element, element_type) in enumerate(zip(value, tuple_params)):
+            try:
+                check_type_internal(element, element_type, memo)
+            except TypeCheckError as exc:
+                exc.append_path_element(f"item {i}")
+                raise
+
+
+def check_union(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    errors: dict[str, TypeCheckError] = {}
+    for type_ in args:
+        try:
+            check_type_internal(value, type_, memo)
+            return
+        except TypeCheckError as exc:
+            errors[get_type_name(type_)] = exc
+
+    formatted_errors = indent(
+        "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+    )
+    raise TypeCheckError(f"did not match any element in the union:\n{formatted_errors}")
+
+
+def check_uniontype(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    errors: dict[str, TypeCheckError] = {}
+    for type_ in args:
+        try:
+            check_type_internal(value, type_, memo)
+            return
+        except TypeCheckError as exc:
+            errors[get_type_name(type_)] = exc
+
+    formatted_errors = indent(
+        "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+    )
+    raise TypeCheckError(f"did not match any element in the union:\n{formatted_errors}")
+
+
+def check_class(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isclass(value):
+        raise TypeCheckError("is not a class")
+
+    # Needed on Python 3.7+
+    if not args:
+        return
+
+    if isinstance(args[0], ForwardRef):
+        expected_class = evaluate_forwardref(args[0], memo)
+    else:
+        expected_class = args[0]
+
+    if expected_class is Any:
+        return
+    elif getattr(expected_class, "_is_protocol", False):
+        check_protocol(value, expected_class, (), memo)
+    elif isinstance(expected_class, TypeVar):
+        check_typevar(value, expected_class, (), memo, subclass_check=True)
+    elif get_origin(expected_class) is Union:
+        errors: dict[str, TypeCheckError] = {}
+        for arg in get_args(expected_class):
+            if arg is Any:
+                return
+
+            try:
+                check_class(value, type, (arg,), memo)
+                return
+            except TypeCheckError as exc:
+                errors[get_type_name(arg)] = exc
+        else:
+            formatted_errors = indent(
+                "\n".join(f"{key}: {error}" for key, error in errors.items()), "  "
+            )
+            raise TypeCheckError(
+                f"did not match any element in the union:\n{formatted_errors}"
+            )
+    elif not issubclass(value, expected_class):
+        raise TypeCheckError(f"is not a subclass of {qualified_name(expected_class)}")
+
+
+def check_newtype(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, origin_type.__supertype__, memo)
+
+
+def check_instance(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, origin_type):
+        raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+
+
+def check_typevar(
+    value: Any,
+    origin_type: TypeVar,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+    *,
+    subclass_check: bool = False,
+) -> None:
+    if origin_type.__bound__ is not None:
+        annotation = (
+            Type[origin_type.__bound__] if subclass_check else origin_type.__bound__
+        )
+        check_type_internal(value, annotation, memo)
+    elif origin_type.__constraints__:
+        for constraint in origin_type.__constraints__:
+            annotation = Type[constraint] if subclass_check else constraint
+            try:
+                check_type_internal(value, annotation, memo)
+            except TypeCheckError:
+                pass
+            else:
+                break
+        else:
+            formatted_constraints = ", ".join(
+                get_type_name(constraint) for constraint in origin_type.__constraints__
+            )
+            raise TypeCheckError(
+                f"does not match any of the constraints " f"({formatted_constraints})"
+            )
+
+
+if sys.version_info >= (3, 8):
+    if typing_extensions is None:
+
+        def _is_literal_type(typ: object) -> bool:
+            return typ is typing.Literal
+
+    else:
+
+        def _is_literal_type(typ: object) -> bool:
+            return typ is typing.Literal or typ is typing_extensions.Literal
+
+else:
+
+    def _is_literal_type(typ: object) -> bool:
+        return typ is typing_extensions.Literal
+
+
+def check_literal(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    def get_literal_args(literal_args: tuple[Any, ...]) -> tuple[Any, ...]:
+        retval: list[Any] = []
+        for arg in literal_args:
+            if _is_literal_type(get_origin(arg)):
+                # The first check works on py3.6 and lower, the second one on py3.7+
+                retval.extend(get_literal_args(arg.__args__))
+            elif arg is None or isinstance(arg, (int, str, bytes, bool, Enum)):
+                retval.append(arg)
+            else:
+                raise TypeError(
+                    f"Illegal literal value: {arg}"
+                )  # TypeError here is deliberate
+
+        return tuple(retval)
+
+    final_args = tuple(get_literal_args(args))
+    try:
+        index = final_args.index(value)
+    except ValueError:
+        pass
+    else:
+        if type(final_args[index]) is type(value):
+            return
+
+    formatted_args = ", ".join(repr(arg) for arg in final_args)
+    raise TypeCheckError(f"is not any of ({formatted_args})") from None
+
+
+def check_literal_string(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, str, memo)
+
+
+def check_typeguard(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    check_type_internal(value, bool, memo)
+
+
+def check_none(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if value is not None:
+        raise TypeCheckError("is not None")
+
+
+def check_number(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is complex and not isinstance(value, (complex, float, int)):
+        raise TypeCheckError("is neither complex, float or int")
+    elif origin_type is float and not isinstance(value, (float, int)):
+        raise TypeCheckError("is neither float or int")
+
+
+def check_io(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if origin_type is TextIO or (origin_type is IO and args == (str,)):
+        if not isinstance(value, TextIOBase):
+            raise TypeCheckError("is not a text based I/O object")
+    elif origin_type is BinaryIO or (origin_type is IO and args == (bytes,)):
+        if not isinstance(value, (RawIOBase, BufferedIOBase)):
+            raise TypeCheckError("is not a binary I/O object")
+    elif not isinstance(value, IOBase):
+        raise TypeCheckError("is not an I/O object")
+
+
+def check_protocol(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    # TODO: implement proper compatibility checking and support non-runtime protocols
+    if getattr(origin_type, "_is_runtime_protocol", False):
+        if not isinstance(value, origin_type):
+            raise TypeCheckError(
+                f"is not compatible with the {origin_type.__qualname__} protocol"
+            )
+    else:
+        warnings.warn(
+            f"Typeguard cannot check the {origin_type.__qualname__} protocol because "
+            f"it is a non-runtime protocol. If you would like to type check this "
+            f"protocol, please use @typing.runtime_checkable",
+            stacklevel=get_stacklevel(),
+        )
+
+
+def check_byteslike(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, (bytearray, bytes, memoryview)):
+        raise TypeCheckError("is not bytes-like")
+
+
+def check_self(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if memo.self_type is None:
+        raise TypeCheckError("cannot be checked against Self outside of a method call")
+
+    if isclass(value):
+        if not issubclass(value, memo.self_type):
+            raise TypeCheckError(
+                f"is not an instance of the self type "
+                f"({qualified_name(memo.self_type)})"
+            )
+    elif not isinstance(value, memo.self_type):
+        raise TypeCheckError(
+            f"is not an instance of the self type ({qualified_name(memo.self_type)})"
+        )
+
+
+def check_paramspec(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    pass  # No-op for now
+
+
+def check_instanceof(
+    value: Any,
+    origin_type: Any,
+    args: tuple[Any, ...],
+    memo: TypeCheckMemo,
+) -> None:
+    if not isinstance(value, origin_type):
+        raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+
+
+def check_type_internal(
+    value: Any,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> None:
+    """
+    Check that the given object is compatible with the given type annotation.
+
+    This function should only be used by type checker callables. Applications should use
+    :func:`~.check_type` instead.
+
+    :param value: the value to check
+    :param annotation: the type annotation to check against
+    :param memo: a memo object containing configuration and information necessary for
+        looking up forward references
+    """
+
+    if isinstance(annotation, ForwardRef):
+        try:
+            annotation = evaluate_forwardref(annotation, memo)
+        except NameError:
+            if memo.config.forward_ref_policy is ForwardRefPolicy.ERROR:
+                raise
+            elif memo.config.forward_ref_policy is ForwardRefPolicy.WARN:
+                warnings.warn(
+                    f"Cannot resolve forward reference {annotation.__forward_arg__!r}",
+                    TypeHintWarning,
+                    stacklevel=get_stacklevel(),
+                )
+
+            return
+
+    if annotation is Any or annotation is SubclassableAny or isinstance(value, Mock):
+        return
+
+    # Skip type checks if value is an instance of a class that inherits from Any
+    if not isclass(value) and SubclassableAny in type(value).__bases__:
+        return
+
+    extras: tuple[Any, ...]
+    origin_type = get_origin(annotation)
+    if origin_type is Annotated:
+        annotation, *extras_ = get_args(annotation)
+        extras = tuple(extras_)
+        origin_type = get_origin(annotation)
+    else:
+        extras = ()
+
+    if origin_type is not None:
+        args = get_args(annotation)
+
+        # Compatibility hack to distinguish between unparametrized and empty tuple
+        # (tuple[()]), necessary due to https://github.com/python/cpython/issues/91137
+        if origin_type in (tuple, Tuple) and annotation is not Tuple and not args:
+            args = ((),)
+    else:
+        origin_type = annotation
+        args = ()
+
+    for lookup_func in checker_lookup_functions:
+        checker = lookup_func(origin_type, args, extras)
+        if checker:
+            checker(value, origin_type, args, memo)
+            return
+
+    if isclass(origin_type):
+        if not isinstance(value, origin_type):
+            raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
+    elif type(origin_type) is str:  # noqa: E721
+        warnings.warn(
+            f"Skipping type check against {origin_type!r}; this looks like a "
+            f"string-form forward reference imported from another module",
+            TypeHintWarning,
+            stacklevel=get_stacklevel(),
+        )
+
+
+# Equality checks are applied to these
+origin_type_checkers = {
+    bytes: check_byteslike,
+    AbstractSet: check_set,
+    BinaryIO: check_io,
+    Callable: check_callable,
+    collections.abc.Callable: check_callable,
+    complex: check_number,
+    dict: check_mapping,
+    Dict: check_mapping,
+    float: check_number,
+    frozenset: check_set,
+    IO: check_io,
+    list: check_list,
+    List: check_list,
+    Mapping: check_mapping,
+    MutableMapping: check_mapping,
+    None: check_none,
+    collections.abc.Mapping: check_mapping,
+    collections.abc.MutableMapping: check_mapping,
+    Sequence: check_sequence,
+    collections.abc.Sequence: check_sequence,
+    collections.abc.Set: check_set,
+    set: check_set,
+    Set: check_set,
+    TextIO: check_io,
+    tuple: check_tuple,
+    Tuple: check_tuple,
+    type: check_class,
+    Type: check_class,
+    Union: check_union,
+}
+if sys.version_info >= (3, 8):
+    origin_type_checkers[typing.Literal] = check_literal
+if sys.version_info >= (3, 10):
+    origin_type_checkers[types.UnionType] = check_uniontype
+    origin_type_checkers[typing.TypeGuard] = check_typeguard
+if sys.version_info >= (3, 11):
+    origin_type_checkers.update(
+        {typing.LiteralString: check_literal_string, typing.Self: check_self}
+    )
+if typing_extensions is not None:
+    # On some Python versions, these may simply be re-exports from typing,
+    # but exactly which Python versions is subject to change,
+    # so it's best to err on the safe side
+    # and update the dictionary on all Python versions
+    # if typing_extensions is installed
+    origin_type_checkers[typing_extensions.Literal] = check_literal
+    origin_type_checkers[typing_extensions.LiteralString] = check_literal_string
+    origin_type_checkers[typing_extensions.Self] = check_self
+    origin_type_checkers[typing_extensions.TypeGuard] = check_typeguard
+
+
+def builtin_checker_lookup(
+    origin_type: Any, args: tuple[Any, ...], extras: tuple[Any, ...]
+) -> TypeCheckerCallable | None:
+    checker = origin_type_checkers.get(origin_type)
+    if checker is not None:
+        return checker
+    elif is_typeddict(origin_type):
+        return check_typed_dict
+    elif isclass(origin_type) and issubclass(
+        origin_type, Tuple  # type: ignore[arg-type]
+    ):
+        # NamedTuple
+        return check_tuple
+    elif getattr(origin_type, "_is_protocol", False):
+        return check_protocol
+    elif isinstance(origin_type, ParamSpec):
+        return check_paramspec
+    elif isinstance(origin_type, TypeVar):
+        return check_typevar
+    elif origin_type.__class__ is NewType:
+        # typing.NewType on Python 3.10+
+        return check_newtype
+    elif (
+        isfunction(origin_type)
+        and getattr(origin_type, "__module__", None) == "typing"
+        and getattr(origin_type, "__qualname__", "").startswith("NewType.")
+        and hasattr(origin_type, "__supertype__")
+    ):
+        # typing.NewType on Python 3.9 and below
+        return check_newtype
+
+    return None
+
+
+checker_lookup_functions.append(builtin_checker_lookup)
+
+
+def load_plugins() -> None:
+    """
+    Load all type checker lookup functions from entry points.
+
+    All entry points from the ``typeguard.checker_lookup`` group are loaded, and the
+    returned lookup functions are added to :data:`typeguard.checker_lookup_functions`.
+
+    .. note:: This function is called implicitly on import, unless the
+        ``TYPEGUARD_DISABLE_PLUGIN_AUTOLOAD`` environment variable is present.
+    """
+
+    for ep in entry_points(group="typeguard.checker_lookup"):
+        try:
+            plugin = ep.load()
+        except Exception as exc:
+            warnings.warn(
+                f"Failed to load plugin {ep.name!r}: " f"{qualified_name(exc)}: {exc}",
+                stacklevel=2,
+            )
+            continue
+
+        if not callable(plugin):
+            warnings.warn(
+                f"Plugin {ep} returned a non-callable object: {plugin!r}", stacklevel=2
+            )
+            continue
+
+        checker_lookup_functions.insert(0, plugin)
diff --git a/metaflow/_vendor/v3_7/typeguard/_config.py b/metaflow/_vendor/v3_7/typeguard/_config.py
new file mode 100644
index 00000000000..04cecf84b3e
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_config.py
@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+from collections.abc import Collection
+from dataclasses import dataclass
+from enum import Enum, auto
+from typing import TYPE_CHECKING, TypeVar
+
+if TYPE_CHECKING:
+    from ._functions import TypeCheckFailCallback
+
+T = TypeVar("T")
+
+
+class ForwardRefPolicy(Enum):
+    """
+    Defines how unresolved forward references are handled.
+
+    Members:
+
+    * ``ERROR``: propagate the :exc:`NameError` when the forward reference lookup fails
+    * ``WARN``: emit a :class:`~.TypeHintWarning` if the forward reference lookup fails
+    * ``IGNORE``: silently skip checks for unresolveable forward references
+    """
+
+    ERROR = auto()
+    WARN = auto()
+    IGNORE = auto()
+
+
+class CollectionCheckStrategy(Enum):
+    """
+    Specifies how thoroughly the contents of collections are type checked.
+
+    This has an effect on the following built-in checkers:
+
+    * ``AbstractSet``
+    * ``Dict``
+    * ``List``
+    * ``Mapping``
+    * ``Set``
+    * ``Tuple[, ...]`` (arbitrarily sized tuples)
+
+    Members:
+
+    * ``FIRST_ITEM``: check only the first item
+    * ``ALL_ITEMS``: check all items
+    """
+
+    FIRST_ITEM = auto()
+    ALL_ITEMS = auto()
+
+    def iterate_samples(self, collection: Collection[T]) -> Collection[T]:
+        if self is CollectionCheckStrategy.FIRST_ITEM:
+            if len(collection):
+                return [next(iter(collection))]
+            else:
+                return ()
+        else:
+            return collection
+
+
+@dataclass
+class TypeCheckConfiguration:
+    """
+     You can change Typeguard's behavior with these settings.
+
+    .. attribute:: typecheck_fail_callback
+       :type: Callable[[TypeCheckError, TypeCheckMemo], Any]
+
+         Callable that is called when type checking fails.
+
+         Default: ``None`` (the :exc:`~.TypeCheckError` is raised directly)
+
+    .. attribute:: forward_ref_policy
+       :type: ForwardRefPolicy
+
+         Specifies what to do when a forward reference fails to resolve.
+
+         Default: ``WARN``
+
+    .. attribute:: collection_check_strategy
+       :type: CollectionCheckStrategy
+
+         Specifies how thoroughly the contents of collections (list, dict, etc.) are
+         type checked.
+
+         Default: ``FIRST_ITEM``
+
+    .. attribute:: debug_instrumentation
+       :type: bool
+
+         If set to ``True``, the code of modules or functions instrumented by typeguard
+         is printed to ``sys.stderr`` after the instrumentation is done
+
+         Requires Python 3.9 or newer.
+
+         Default: ``False``
+    """
+
+    forward_ref_policy: ForwardRefPolicy = ForwardRefPolicy.WARN
+    typecheck_fail_callback: TypeCheckFailCallback | None = None
+    collection_check_strategy: CollectionCheckStrategy = (
+        CollectionCheckStrategy.FIRST_ITEM
+    )
+    debug_instrumentation: bool = False
+
+
+global_config = TypeCheckConfiguration()
diff --git a/metaflow/_vendor/v3_7/typeguard/_decorators.py b/metaflow/_vendor/v3_7/typeguard/_decorators.py
new file mode 100644
index 00000000000..53f254f7080
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_decorators.py
@@ -0,0 +1,237 @@
+from __future__ import annotations
+
+import ast
+import inspect
+import sys
+from collections.abc import Sequence
+from functools import partial
+from inspect import isclass, isfunction
+from types import CodeType, FrameType, FunctionType
+from typing import TYPE_CHECKING, Any, Callable, ForwardRef, TypeVar, cast, overload
+from warnings import warn
+
+from ._config import CollectionCheckStrategy, ForwardRefPolicy, global_config
+from ._exceptions import InstrumentationWarning
+from ._functions import TypeCheckFailCallback
+from ._transformer import TypeguardTransformer
+from ._utils import Unset, function_name, get_stacklevel, is_method_of, unset
+
+if TYPE_CHECKING:
+    from typeshed.stdlib.types import _Cell
+
+    _F = TypeVar("_F")
+
+    def typeguard_ignore(f: _F) -> _F:
+        """This decorator is a noop during static type-checking."""
+        return f
+
+else:
+    from typing import no_type_check as typeguard_ignore  # noqa: F401
+
+T_CallableOrType = TypeVar("T_CallableOrType", bound=Callable[..., Any])
+
+
+def make_cell(value: object) -> _Cell:
+    return (lambda: value).__closure__[0]  # type: ignore[index]
+
+
+def find_target_function(
+    new_code: CodeType, target_path: Sequence[str], firstlineno: int
+) -> CodeType | None:
+    target_name = target_path[0]
+    for const in new_code.co_consts:
+        if isinstance(const, CodeType):
+            if const.co_name == target_name:
+                if const.co_firstlineno == firstlineno:
+                    return const
+                elif len(target_path) > 1:
+                    target_code = find_target_function(
+                        const, target_path[1:], firstlineno
+                    )
+                    if target_code:
+                        return target_code
+
+    return None
+
+
+def instrument(f: T_CallableOrType) -> FunctionType | str:
+    if not getattr(f, "__code__", None):
+        return "no code associated"
+    elif not getattr(f, "__module__", None):
+        return "__module__ attribute is not set"
+    elif f.__code__.co_filename == "":
+        return "cannot instrument functions defined in a REPL"
+    elif hasattr(f, "__wrapped__"):
+        return (
+            "@typechecked only supports instrumenting functions wrapped with "
+            "@classmethod, @staticmethod or @property"
+        )
+
+    target_path = [item for item in f.__qualname__.split(".") if item != ""]
+    module_source = inspect.getsource(sys.modules[f.__module__])
+    module_ast = ast.parse(module_source)
+    instrumentor = TypeguardTransformer(target_path, f.__code__.co_firstlineno)
+    instrumentor.visit(module_ast)
+
+    if not instrumentor.target_node or instrumentor.target_lineno is None:
+        return "instrumentor did not find the target function"
+
+    module_code = compile(module_ast, f.__code__.co_filename, "exec", dont_inherit=True)
+    new_code = find_target_function(
+        module_code, target_path, instrumentor.target_lineno
+    )
+    if not new_code:
+        return "cannot find the target function in the AST"
+
+    if global_config.debug_instrumentation and sys.version_info >= (3, 9):
+        # Find the matching AST node, then unparse it to source and print to stdout
+        print(
+            f"Source code of {f.__qualname__}() after instrumentation:"
+            "\n----------------------------------------------",
+            file=sys.stderr,
+        )
+        print(ast.unparse(instrumentor.target_node), file=sys.stderr)
+        print(
+            "----------------------------------------------",
+            file=sys.stderr,
+        )
+
+    closure = f.__closure__
+    if new_code.co_freevars != f.__code__.co_freevars:
+        # Create a new closure and find values for the new free variables
+        frame = cast(FrameType, inspect.currentframe())
+        frame = cast(FrameType, frame.f_back)
+        frame_locals = cast(FrameType, frame.f_back).f_locals
+        cells: list[_Cell] = []
+        for key in new_code.co_freevars:
+            if key in instrumentor.names_used_in_annotations:
+                # Find the value and make a new cell from it
+                value = frame_locals.get(key) or ForwardRef(key)
+                cells.append(make_cell(value))
+            else:
+                # Reuse the cell from the existing closure
+                assert f.__closure__
+                cells.append(f.__closure__[f.__code__.co_freevars.index(key)])
+
+        closure = tuple(cells)
+
+    new_function = FunctionType(new_code, f.__globals__, f.__name__, closure=closure)
+    new_function.__module__ = f.__module__
+    new_function.__name__ = f.__name__
+    new_function.__qualname__ = f.__qualname__
+    new_function.__annotations__ = f.__annotations__
+    new_function.__doc__ = f.__doc__
+    new_function.__defaults__ = f.__defaults__
+    new_function.__kwdefaults__ = f.__kwdefaults__
+    return new_function
+
+
+@overload
+def typechecked(
+    *,
+    forward_ref_policy: ForwardRefPolicy | Unset = unset,
+    typecheck_fail_callback: TypeCheckFailCallback | Unset = unset,
+    collection_check_strategy: CollectionCheckStrategy | Unset = unset,
+    debug_instrumentation: bool | Unset = unset,
+) -> Callable[[T_CallableOrType], T_CallableOrType]:
+    ...
+
+
+@overload
+def typechecked(target: T_CallableOrType) -> T_CallableOrType:
+    ...
+
+
+def typechecked(
+    target: T_CallableOrType | None = None,
+    *,
+    forward_ref_policy: ForwardRefPolicy | Unset = unset,
+    typecheck_fail_callback: TypeCheckFailCallback | Unset = unset,
+    collection_check_strategy: CollectionCheckStrategy | Unset = unset,
+    debug_instrumentation: bool | Unset = unset,
+) -> Any:
+    """
+    Instrument the target function to perform run-time type checking.
+
+    This decorator recompiles the target function, injecting code to type check
+    arguments, return values, yield values (excluding ``yield from``) and assignments to
+    annotated local variables.
+
+    This can also be used as a class decorator. This will instrument all type annotated
+    methods, including :func:`@classmethod `,
+    :func:`@staticmethod `,  and :class:`@property ` decorated
+    methods in the class.
+
+    .. note:: When Python is run in optimized mode (``-O`` or ``-OO``, this decorator
+        is a no-op). This is a feature meant for selectively introducing type checking
+        into a code base where the checks aren't meant to be run in production.
+
+    :param target: the function or class to enable type checking for
+    :param forward_ref_policy: override for
+        :attr:`.TypeCheckConfiguration.forward_ref_policy`
+    :param typecheck_fail_callback: override for
+        :attr:`.TypeCheckConfiguration.typecheck_fail_callback`
+    :param collection_check_strategy: override for
+        :attr:`.TypeCheckConfiguration.collection_check_strategy`
+    :param debug_instrumentation: override for
+        :attr:`.TypeCheckConfiguration.debug_instrumentation`
+
+    """
+    if target is None:
+        return partial(
+            typechecked,
+            forward_ref_policy=forward_ref_policy,
+            typecheck_fail_callback=typecheck_fail_callback,
+            collection_check_strategy=collection_check_strategy,
+            debug_instrumentation=debug_instrumentation,
+        )
+
+    if not __debug__:
+        return target
+
+    if isclass(target):
+        for key, attr in target.__dict__.items():
+            if is_method_of(attr, target):
+                retval = instrument(attr)
+                if isfunction(retval):
+                    setattr(target, key, retval)
+            elif isinstance(attr, (classmethod, staticmethod)):
+                if is_method_of(attr.__func__, target):
+                    retval = instrument(attr.__func__)
+                    if isfunction(retval):
+                        wrapper = attr.__class__(retval)
+                        setattr(target, key, wrapper)
+            elif isinstance(attr, property):
+                kwargs: dict[str, Any] = dict(doc=attr.__doc__)
+                for name in ("fset", "fget", "fdel"):
+                    property_func = kwargs[name] = getattr(attr, name)
+                    if is_method_of(property_func, target):
+                        retval = instrument(property_func)
+                        if isfunction(retval):
+                            kwargs[name] = retval
+
+                setattr(target, key, attr.__class__(**kwargs))
+
+        return target
+
+    # Find either the first Python wrapper or the actual function
+    wrapper_class: type[classmethod[Any, Any, Any]] | type[
+        staticmethod[Any, Any]
+    ] | None = None
+    if isinstance(target, (classmethod, staticmethod)):
+        wrapper_class = target.__class__
+        target = target.__func__
+
+    retval = instrument(target)
+    if isinstance(retval, str):
+        warn(
+            f"{retval} -- not typechecking {function_name(target)}",
+            InstrumentationWarning,
+            stacklevel=get_stacklevel(),
+        )
+        return target
+
+    if wrapper_class is None:
+        return retval
+    else:
+        return wrapper_class(retval)
diff --git a/metaflow/_vendor/v3_7/typeguard/_exceptions.py b/metaflow/_vendor/v3_7/typeguard/_exceptions.py
new file mode 100644
index 00000000000..625437a6499
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_exceptions.py
@@ -0,0 +1,42 @@
+from collections import deque
+from typing import Deque
+
+
+class TypeHintWarning(UserWarning):
+    """
+    A warning that is emitted when a type hint in string form could not be resolved to
+    an actual type.
+    """
+
+
+class TypeCheckWarning(UserWarning):
+    """Emitted by typeguard's type checkers when a type mismatch is detected."""
+
+    def __init__(self, message: str):
+        super().__init__(message)
+
+
+class InstrumentationWarning(UserWarning):
+    """Emitted when there's a problem with instrumenting a function for type checks."""
+
+    def __init__(self, message: str):
+        super().__init__(message)
+
+
+class TypeCheckError(Exception):
+    """
+    Raised by typeguard's type checkers when a type mismatch is detected.
+    """
+
+    def __init__(self, message: str):
+        super().__init__(message)
+        self._path: Deque[str] = deque()
+
+    def append_path_element(self, element: str) -> None:
+        self._path.append(element)
+
+    def __str__(self) -> str:
+        if self._path:
+            return " of ".join(self._path) + " " + str(self.args[0])
+        else:
+            return str(self.args[0])
diff --git a/metaflow/_vendor/v3_7/typeguard/_functions.py b/metaflow/_vendor/v3_7/typeguard/_functions.py
new file mode 100644
index 00000000000..6c64bd19c42
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_functions.py
@@ -0,0 +1,310 @@
+from __future__ import annotations
+
+import sys
+import warnings
+from typing import Any, Callable, NoReturn, TypeVar, Union, overload
+
+from . import _suppression
+from ._checkers import BINARY_MAGIC_METHODS, check_type_internal
+from ._config import (
+    CollectionCheckStrategy,
+    ForwardRefPolicy,
+    TypeCheckConfiguration,
+)
+from ._exceptions import TypeCheckError, TypeCheckWarning
+from ._memo import TypeCheckMemo
+from ._utils import get_stacklevel, qualified_name
+
+if sys.version_info >= (3, 11):
+    from typing import Literal, Never, TypeAlias
+else:
+    from metaflow._vendor.v3_7.typing_extensions import Literal, Never, TypeAlias
+
+T = TypeVar("T")
+TypeCheckFailCallback: TypeAlias = Callable[[TypeCheckError, TypeCheckMemo], Any]
+
+
+@overload
+def check_type(
+    value: object,
+    expected_type: type[T],
+    *,
+    forward_ref_policy: ForwardRefPolicy = ...,
+    typecheck_fail_callback: TypeCheckFailCallback | None = ...,
+    collection_check_strategy: CollectionCheckStrategy = ...,
+) -> T:
+    ...
+
+
+@overload
+def check_type(
+    value: object,
+    expected_type: Any,
+    *,
+    forward_ref_policy: ForwardRefPolicy = ...,
+    typecheck_fail_callback: TypeCheckFailCallback | None = ...,
+    collection_check_strategy: CollectionCheckStrategy = ...,
+) -> Any:
+    ...
+
+
+def check_type(
+    value: object,
+    expected_type: Any,
+    *,
+    forward_ref_policy: ForwardRefPolicy = TypeCheckConfiguration().forward_ref_policy,
+    typecheck_fail_callback: (TypeCheckFailCallback | None) = (
+        TypeCheckConfiguration().typecheck_fail_callback
+    ),
+    collection_check_strategy: CollectionCheckStrategy = (
+        TypeCheckConfiguration().collection_check_strategy
+    ),
+) -> Any:
+    """
+    Ensure that ``value`` matches ``expected_type``.
+
+    The types from the :mod:`typing` module do not support :func:`isinstance` or
+    :func:`issubclass` so a number of type specific checks are required. This function
+    knows which checker to call for which type.
+
+    This function wraps :func:`~.check_type_internal` in the following ways:
+
+    * Respects type checking suppression (:func:`~.suppress_type_checks`)
+    * Forms a :class:`~.TypeCheckMemo` from the current stack frame
+    * Calls the configured type check fail callback if the check fails
+
+    Note that this function is independent of the globally shared configuration in
+    :data:`typeguard.config`. This means that usage within libraries is safe from being
+    affected configuration changes made by other libraries or by the integrating
+    application. Instead, configuration options have the same default values as their
+    corresponding fields in :class:`TypeCheckConfiguration`.
+
+    :param value: value to be checked against ``expected_type``
+    :param expected_type: a class or generic type instance, or a tuple of such things
+    :param forward_ref_policy: see :attr:`TypeCheckConfiguration.forward_ref_policy`
+    :param typecheck_fail_callback:
+        see :attr`TypeCheckConfiguration.typecheck_fail_callback`
+    :param collection_check_strategy:
+        see :attr:`TypeCheckConfiguration.collection_check_strategy`
+    :return: ``value``, unmodified
+    :raises TypeCheckError: if there is a type mismatch
+
+    """
+    if type(expected_type) is tuple:
+        expected_type = Union[expected_type]
+
+    config = TypeCheckConfiguration(
+        forward_ref_policy=forward_ref_policy,
+        typecheck_fail_callback=typecheck_fail_callback,
+        collection_check_strategy=collection_check_strategy,
+    )
+
+    if _suppression.type_checks_suppressed or expected_type is Any:
+        return value
+
+    frame = sys._getframe(1)
+    memo = TypeCheckMemo(frame.f_globals, frame.f_locals, config=config)
+    try:
+        check_type_internal(value, expected_type, memo)
+    except TypeCheckError as exc:
+        exc.append_path_element(qualified_name(value, add_class_prefix=True))
+        if config.typecheck_fail_callback:
+            config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return value
+
+
+def check_argument_types(
+    func_name: str,
+    arguments: dict[str, tuple[Any, Any]],
+    memo: TypeCheckMemo,
+) -> Literal[True]:
+    if _suppression.type_checks_suppressed:
+        return True
+
+    for argname, (value, annotation) in arguments.items():
+        if annotation is NoReturn or annotation is Never:
+            exc = TypeCheckError(
+                f"{func_name}() was declared never to be called but it was"
+            )
+            if memo.config.typecheck_fail_callback:
+                memo.config.typecheck_fail_callback(exc, memo)
+            else:
+                raise exc
+
+        try:
+            check_type_internal(value, annotation, memo)
+        except TypeCheckError as exc:
+            qualname = qualified_name(value, add_class_prefix=True)
+            exc.append_path_element(f'argument "{argname}" ({qualname})')
+            if memo.config.typecheck_fail_callback:
+                memo.config.typecheck_fail_callback(exc, memo)
+            else:
+                raise
+
+    return True
+
+
+def check_return_type(
+    func_name: str,
+    retval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return retval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(f"{func_name}() was declared never to return but it did")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(retval, annotation, memo)
+    except TypeCheckError as exc:
+        # Allow NotImplemented if this is a binary magic method (__eq__() et al)
+        if retval is NotImplemented and annotation is bool:
+            # This does (and cannot) not check if it's actually a method
+            func_name = func_name.rsplit(".", 1)[-1]
+            if func_name in BINARY_MAGIC_METHODS:
+                return retval
+
+        qualname = qualified_name(retval, add_class_prefix=True)
+        exc.append_path_element(f"the return value ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return retval
+
+
+def check_send_type(
+    func_name: str,
+    sendval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return sendval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(
+            f"{func_name}() was declared never to be sent a value to but it was"
+        )
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(sendval, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(sendval, add_class_prefix=True)
+        exc.append_path_element(f"the value sent to generator ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return sendval
+
+
+def check_yield_type(
+    func_name: str,
+    yieldval: T,
+    annotation: Any,
+    memo: TypeCheckMemo,
+) -> T:
+    if _suppression.type_checks_suppressed:
+        return yieldval
+
+    if annotation is NoReturn or annotation is Never:
+        exc = TypeCheckError(f"{func_name}() was declared never to yield but it did")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise exc
+
+    try:
+        check_type_internal(yieldval, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(yieldval, add_class_prefix=True)
+        exc.append_path_element(f"the yielded value ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return yieldval
+
+
+def check_variable_assignment(
+    value: object, varname: str, annotation: Any, memo: TypeCheckMemo
+) -> Any:
+    if _suppression.type_checks_suppressed:
+        return value
+
+    try:
+        check_type_internal(value, annotation, memo)
+    except TypeCheckError as exc:
+        qualname = qualified_name(value, add_class_prefix=True)
+        exc.append_path_element(f"value assigned to {varname} ({qualname})")
+        if memo.config.typecheck_fail_callback:
+            memo.config.typecheck_fail_callback(exc, memo)
+        else:
+            raise
+
+    return value
+
+
+def check_multi_variable_assignment(
+    value: Any, targets: list[dict[str, Any]], memo: TypeCheckMemo
+) -> Any:
+    if max(len(target) for target in targets) == 1:
+        iterated_values = [value]
+    else:
+        iterated_values = list(value)
+
+    if not _suppression.type_checks_suppressed:
+        for expected_types in targets:
+            value_index = 0
+            for ann_index, (varname, expected_type) in enumerate(
+                expected_types.items()
+            ):
+                if varname.startswith("*"):
+                    varname = varname[1:]
+                    keys_left = len(expected_types) - 1 - ann_index
+                    next_value_index = len(iterated_values) - keys_left
+                    obj: object = iterated_values[value_index:next_value_index]
+                    value_index = next_value_index
+                else:
+                    obj = iterated_values[value_index]
+                    value_index += 1
+
+                try:
+                    check_type_internal(obj, expected_type, memo)
+                except TypeCheckError as exc:
+                    qualname = qualified_name(obj, add_class_prefix=True)
+                    exc.append_path_element(f"value assigned to {varname} ({qualname})")
+                    if memo.config.typecheck_fail_callback:
+                        memo.config.typecheck_fail_callback(exc, memo)
+                    else:
+                        raise
+
+    return iterated_values[0] if len(iterated_values) == 1 else iterated_values
+
+
+def warn_on_error(exc: TypeCheckError, memo: TypeCheckMemo) -> None:
+    """
+    Emit a warning on a type mismatch.
+
+    This is intended to be used as an error handler in
+    :attr:`TypeCheckConfiguration.typecheck_fail_callback`.
+
+    """
+    warnings.warn(TypeCheckWarning(str(exc)), stacklevel=get_stacklevel())
diff --git a/metaflow/_vendor/v3_7/typeguard/_importhook.py b/metaflow/_vendor/v3_7/typeguard/_importhook.py
new file mode 100644
index 00000000000..5b8b8f60e69
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_importhook.py
@@ -0,0 +1,213 @@
+from __future__ import annotations
+
+import ast
+import sys
+import types
+from collections.abc import Callable, Iterable
+from importlib.abc import MetaPathFinder
+from importlib.machinery import ModuleSpec, SourceFileLoader
+from importlib.util import cache_from_source, decode_source
+from inspect import isclass
+from os import PathLike
+from types import CodeType, ModuleType, TracebackType
+from typing import Sequence, TypeVar
+from unittest.mock import patch
+
+from ._config import global_config
+from ._transformer import TypeguardTransformer
+
+if sys.version_info >= (3, 12):
+    from collections.abc import Buffer
+else:
+    from metaflow._vendor.v3_7.typing_extensions import Buffer
+
+if sys.version_info >= (3, 11):
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.v3_7.typing_extensions import ParamSpec
+
+if sys.version_info >= (3, 10):
+    from importlib.metadata import PackageNotFoundError, version
+else:
+    from metaflow._vendor.v3_7.importlib_metadata import PackageNotFoundError, version
+
+try:
+    OPTIMIZATION = "typeguard" + "".join(version("typeguard").split(".")[:3])
+except PackageNotFoundError:
+    OPTIMIZATION = "typeguard"
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+# The name of this function is magical
+def _call_with_frames_removed(
+    f: Callable[P, T], *args: P.args, **kwargs: P.kwargs
+) -> T:
+    return f(*args, **kwargs)
+
+
+def optimized_cache_from_source(path: str, debug_override: bool | None = None) -> str:
+    return cache_from_source(path, debug_override, optimization=OPTIMIZATION)
+
+
+class TypeguardLoader(SourceFileLoader):
+    @staticmethod
+    def source_to_code(
+        data: Buffer | str | ast.Module | ast.Expression | ast.Interactive,
+        path: Buffer | str | PathLike[str] = "",
+    ) -> CodeType:
+        if isinstance(data, (ast.Module, ast.Expression, ast.Interactive)):
+            tree = data
+        else:
+            if isinstance(data, str):
+                source = data
+            else:
+                source = decode_source(data)
+
+            tree = _call_with_frames_removed(
+                ast.parse,
+                source,
+                path,
+                "exec",
+            )
+
+        tree = TypeguardTransformer().visit(tree)
+        ast.fix_missing_locations(tree)
+
+        if global_config.debug_instrumentation and sys.version_info >= (3, 9):
+            print(
+                f"Source code of {path!r} after instrumentation:\n"
+                "----------------------------------------------",
+                file=sys.stderr,
+            )
+            print(ast.unparse(tree), file=sys.stderr)
+            print("----------------------------------------------", file=sys.stderr)
+
+        return _call_with_frames_removed(
+            compile, tree, path, "exec", 0, dont_inherit=True
+        )
+
+    def exec_module(self, module: ModuleType) -> None:
+        # Use a custom optimization marker – the import lock should make this monkey
+        # patch safe
+        with patch(
+            "importlib._bootstrap_external.cache_from_source",
+            optimized_cache_from_source,
+        ):
+            super().exec_module(module)
+
+
+class TypeguardFinder(MetaPathFinder):
+    """
+    Wraps another path finder and instruments the module with
+    :func:`@typechecked ` if :meth:`should_instrument` returns
+    ``True``.
+
+    Should not be used directly, but rather via :func:`~.install_import_hook`.
+
+    .. versionadded:: 2.6
+    """
+
+    def __init__(self, packages: list[str] | None, original_pathfinder: MetaPathFinder):
+        self.packages = packages
+        self._original_pathfinder = original_pathfinder
+
+    def find_spec(
+        self,
+        fullname: str,
+        path: Sequence[str] | None,
+        target: types.ModuleType | None = None,
+    ) -> ModuleSpec | None:
+        if self.should_instrument(fullname):
+            spec = self._original_pathfinder.find_spec(fullname, path, target)
+            if spec is not None and isinstance(spec.loader, SourceFileLoader):
+                spec.loader = TypeguardLoader(spec.loader.name, spec.loader.path)
+                return spec
+
+        return None
+
+    def should_instrument(self, module_name: str) -> bool:
+        """
+        Determine whether the module with the given name should be instrumented.
+
+        :param module_name: full name of the module that is about to be imported (e.g.
+            ``xyz.abc``)
+
+        """
+        if self.packages is None:
+            return True
+
+        for package in self.packages:
+            if module_name == package or module_name.startswith(package + "."):
+                return True
+
+        return False
+
+
+class ImportHookManager:
+    """
+    A handle that can be used to uninstall the Typeguard import hook.
+    """
+
+    def __init__(self, hook: MetaPathFinder):
+        self.hook = hook
+
+    def __enter__(self) -> None:
+        pass
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException],
+        exc_val: BaseException,
+        exc_tb: TracebackType,
+    ) -> None:
+        self.uninstall()
+
+    def uninstall(self) -> None:
+        """Uninstall the import hook."""
+        try:
+            sys.meta_path.remove(self.hook)
+        except ValueError:
+            pass  # already removed
+
+
+def install_import_hook(
+    packages: Iterable[str] | None = None,
+    *,
+    cls: type[TypeguardFinder] = TypeguardFinder,
+) -> ImportHookManager:
+    """
+    Install an import hook that instruments functions for automatic type checking.
+
+    This only affects modules loaded **after** this hook has been installed.
+
+    :param packages: an iterable of package names to instrument, or ``None`` to
+        instrument all packages
+    :param cls: a custom meta path finder class
+    :return: a context manager that uninstalls the hook on exit (or when you call
+        ``.uninstall()``)
+
+    .. versionadded:: 2.6
+
+    """
+    if packages is None:
+        target_packages: list[str] | None = None
+    elif isinstance(packages, str):
+        target_packages = [packages]
+    else:
+        target_packages = list(packages)
+
+    for finder in sys.meta_path:
+        if (
+            isclass(finder)
+            and finder.__name__ == "PathFinder"
+            and hasattr(finder, "find_spec")
+        ):
+            break
+    else:
+        raise RuntimeError("Cannot find a PathFinder in sys.meta_path")
+
+    hook = cls(target_packages, finder)
+    sys.meta_path.insert(0, hook)
+    return ImportHookManager(hook)
diff --git a/metaflow/_vendor/v3_7/typeguard/_memo.py b/metaflow/_vendor/v3_7/typeguard/_memo.py
new file mode 100644
index 00000000000..2eb8e62efae
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_memo.py
@@ -0,0 +1,48 @@
+from __future__ import annotations
+
+from typing import Any
+
+from metaflow._vendor.v3_7.typeguard._config import TypeCheckConfiguration, global_config
+
+
+class TypeCheckMemo:
+    """
+    Contains information necessary for type checkers to do their work.
+
+    .. attribute:: globals
+       :type: dict[str, Any]
+
+        Dictionary of global variables to use for resolving forward references.
+
+    .. attribute:: locals
+       :type: dict[str, Any]
+
+        Dictionary of local variables to use for resolving forward references.
+
+    .. attribute:: self_type
+       :type: type | None
+
+        When running type checks within an instance method or class method, this is the
+        class object that the first argument (usually named ``self`` or ``cls``) refers
+        to.
+
+    .. attribute:: config
+       :type: TypeCheckConfiguration
+
+         Contains the configuration for a particular set of type checking operations.
+    """
+
+    __slots__ = "globals", "locals", "self_type", "config"
+
+    def __init__(
+        self,
+        globals: dict[str, Any],
+        locals: dict[str, Any],
+        *,
+        self_type: type | None = None,
+        config: TypeCheckConfiguration = global_config,
+    ):
+        self.globals = globals
+        self.locals = locals
+        self.self_type = self_type
+        self.config = config
diff --git a/metaflow/_vendor/v3_7/typeguard/_pytest_plugin.py b/metaflow/_vendor/v3_7/typeguard/_pytest_plugin.py
new file mode 100644
index 00000000000..fc7650bc9a9
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_pytest_plugin.py
@@ -0,0 +1,100 @@
+from __future__ import annotations
+
+import sys
+import warnings
+
+from pytest import Config, Parser
+
+from metaflow._vendor.v3_7.typeguard._config import CollectionCheckStrategy, ForwardRefPolicy, global_config
+from metaflow._vendor.v3_7.typeguard._exceptions import InstrumentationWarning
+from metaflow._vendor.v3_7.typeguard._importhook import install_import_hook
+from metaflow._vendor.v3_7.typeguard._utils import qualified_name, resolve_reference
+
+
+def pytest_addoption(parser: Parser) -> None:
+    group = parser.getgroup("typeguard")
+    group.addoption(
+        "--typeguard-packages",
+        action="store",
+        help="comma separated name list of packages and modules to instrument for "
+        "type checking, or :all: to instrument all modules loaded after typeguard",
+    )
+    group.addoption(
+        "--typeguard-debug-instrumentation",
+        action="store_true",
+        help="print all instrumented code to stderr",
+    )
+    group.addoption(
+        "--typeguard-typecheck-fail-callback",
+        action="store",
+        help=(
+            "a module:varname (e.g. typeguard:warn_on_error) reference to a function "
+            "that is called (with the exception, and memo object as arguments) to "
+            "handle a TypeCheckError"
+        ),
+    )
+    group.addoption(
+        "--typeguard-forward-ref-policy",
+        action="store",
+        choices=list(ForwardRefPolicy.__members__),
+        help=(
+            "determines how to deal with unresolveable forward references in type "
+            "annotations"
+        ),
+    )
+    group.addoption(
+        "--typeguard-collection-check-strategy",
+        action="store",
+        choices=list(CollectionCheckStrategy.__members__),
+        help="determines how thoroughly to check collections (list, dict, etc)",
+    )
+
+
+def pytest_configure(config: Config) -> None:
+    packages_option = config.getoption("typeguard_packages")
+    if packages_option:
+        if packages_option == ":all:":
+            packages: list[str] | None = None
+        else:
+            packages = [pkg.strip() for pkg in packages_option.split(",")]
+            already_imported_packages = sorted(
+                package for package in packages if package in sys.modules
+            )
+            if already_imported_packages:
+                warnings.warn(
+                    f"typeguard cannot check these packages because they are already "
+                    f"imported: {', '.join(already_imported_packages)}",
+                    InstrumentationWarning,
+                    stacklevel=1,
+                )
+
+        install_import_hook(packages=packages)
+
+    debug_option = config.getoption("typeguard_debug_instrumentation")
+    if debug_option:
+        global_config.debug_instrumentation = True
+
+    fail_callback_option = config.getoption("typeguard_typecheck_fail_callback")
+    if fail_callback_option:
+        callback = resolve_reference(fail_callback_option)
+        if not callable(callback):
+            raise TypeError(
+                f"{fail_callback_option} ({qualified_name(callback.__class__)}) is not "
+                f"a callable"
+            )
+
+        global_config.typecheck_fail_callback = callback
+
+    forward_ref_policy_option = config.getoption("typeguard_forward_ref_policy")
+    if forward_ref_policy_option:
+        forward_ref_policy = ForwardRefPolicy.__members__[forward_ref_policy_option]
+        global_config.forward_ref_policy = forward_ref_policy
+
+    collection_check_strategy_option = config.getoption(
+        "typeguard_collection_check_strategy"
+    )
+    if collection_check_strategy_option:
+        collection_check_strategy = CollectionCheckStrategy.__members__[
+            collection_check_strategy_option
+        ]
+        global_config.collection_check_strategy = collection_check_strategy
diff --git a/metaflow/_vendor/v3_7/typeguard/_suppression.py b/metaflow/_vendor/v3_7/typeguard/_suppression.py
new file mode 100644
index 00000000000..44f5c4088c8
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_suppression.py
@@ -0,0 +1,88 @@
+from __future__ import annotations
+
+import sys
+from collections.abc import Callable, Generator
+from contextlib import contextmanager
+from functools import update_wrapper
+from threading import Lock
+from typing import ContextManager, TypeVar, overload
+
+if sys.version_info >= (3, 10):
+    from typing import ParamSpec
+else:
+    from metaflow._vendor.v3_7.typing_extensions import ParamSpec
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+type_checks_suppressed = 0
+type_checks_suppress_lock = Lock()
+
+
+@overload
+def suppress_type_checks(func: Callable[P, T]) -> Callable[P, T]:
+    ...
+
+
+@overload
+def suppress_type_checks() -> ContextManager[None]:
+    ...
+
+
+def suppress_type_checks(
+    func: Callable[P, T] | None = None
+) -> Callable[P, T] | ContextManager[None]:
+    """
+    Temporarily suppress all type checking.
+
+    This function has two operating modes, based on how it's used:
+
+    #. as a context manager (``with suppress_type_checks(): ...``)
+    #. as a decorator (``@suppress_type_checks``)
+
+    When used as a context manager, :func:`check_type` and any automatically
+    instrumented functions skip the actual type checking. These context managers can be
+    nested.
+
+    When used as a decorator, all type checking is suppressed while the function is
+    running.
+
+    Type checking will resume once no more context managers are active and no decorated
+    functions are running.
+
+    Both operating modes are thread-safe.
+
+    """
+
+    def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+        global type_checks_suppressed
+
+        with type_checks_suppress_lock:
+            type_checks_suppressed += 1
+
+        assert func is not None
+        try:
+            return func(*args, **kwargs)
+        finally:
+            with type_checks_suppress_lock:
+                type_checks_suppressed -= 1
+
+    def cm() -> Generator[None, None, None]:
+        global type_checks_suppressed
+
+        with type_checks_suppress_lock:
+            type_checks_suppressed += 1
+
+        try:
+            yield
+        finally:
+            with type_checks_suppress_lock:
+                type_checks_suppressed -= 1
+
+    if func is None:
+        # Context manager mode
+        return contextmanager(cm)()
+    else:
+        # Decorator mode
+        update_wrapper(wrapper, func)
+        return wrapper
diff --git a/metaflow/_vendor/v3_7/typeguard/_transformer.py b/metaflow/_vendor/v3_7/typeguard/_transformer.py
new file mode 100644
index 00000000000..24090b19b00
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_transformer.py
@@ -0,0 +1,1207 @@
+from __future__ import annotations
+
+import ast
+import builtins
+import sys
+import typing
+from ast import (
+    AST,
+    Add,
+    AnnAssign,
+    Assign,
+    AsyncFunctionDef,
+    Attribute,
+    AugAssign,
+    BinOp,
+    BitAnd,
+    BitOr,
+    BitXor,
+    Call,
+    ClassDef,
+    Constant,
+    Dict,
+    Div,
+    Expr,
+    Expression,
+    FloorDiv,
+    FunctionDef,
+    If,
+    Import,
+    ImportFrom,
+    Index,
+    List,
+    Load,
+    LShift,
+    MatMult,
+    Mod,
+    Module,
+    Mult,
+    Name,
+    NodeTransformer,
+    NodeVisitor,
+    Pass,
+    Pow,
+    Return,
+    RShift,
+    Starred,
+    Store,
+    Str,
+    Sub,
+    Subscript,
+    Tuple,
+    Yield,
+    YieldFrom,
+    alias,
+    copy_location,
+    expr,
+    fix_missing_locations,
+    keyword,
+    walk,
+)
+from collections import defaultdict
+from collections.abc import Generator, Sequence
+from contextlib import contextmanager
+from copy import deepcopy
+from dataclasses import dataclass, field
+from typing import Any, ClassVar, cast, overload
+
+if sys.version_info >= (3, 8):
+    from ast import NamedExpr
+
+generator_names = (
+    "typing.Generator",
+    "collections.abc.Generator",
+    "typing.Iterator",
+    "collections.abc.Iterator",
+    "typing.Iterable",
+    "collections.abc.Iterable",
+    "typing.AsyncIterator",
+    "collections.abc.AsyncIterator",
+    "typing.AsyncIterable",
+    "collections.abc.AsyncIterable",
+    "typing.AsyncGenerator",
+    "collections.abc.AsyncGenerator",
+)
+anytype_names = (
+    "typing.Any",
+    "typing_extensions.Any",
+)
+literal_names = (
+    "typing.Literal",
+    "typing_extensions.Literal",
+)
+annotated_names = (
+    "typing.Annotated",
+    "typing_extensions.Annotated",
+)
+ignore_decorators = (
+    "typing.no_type_check",
+    "typeguard.typeguard_ignore",
+)
+aug_assign_functions = {
+    Add: "iadd",
+    Sub: "isub",
+    Mult: "imul",
+    MatMult: "imatmul",
+    Div: "itruediv",
+    FloorDiv: "ifloordiv",
+    Mod: "imod",
+    Pow: "ipow",
+    LShift: "ilshift",
+    RShift: "irshift",
+    BitAnd: "iand",
+    BitXor: "ixor",
+    BitOr: "ior",
+}
+
+
+@dataclass
+class TransformMemo:
+    node: Module | ClassDef | FunctionDef | AsyncFunctionDef | None
+    parent: TransformMemo | None
+    path: tuple[str, ...]
+    joined_path: Constant = field(init=False)
+    return_annotation: expr | None = None
+    yield_annotation: expr | None = None
+    send_annotation: expr | None = None
+    is_async: bool = False
+    local_names: set[str] = field(init=False, default_factory=set)
+    imported_names: dict[str, str] = field(init=False, default_factory=dict)
+    ignored_names: set[str] = field(init=False, default_factory=set)
+    load_names: defaultdict[str, dict[str, Name]] = field(
+        init=False, default_factory=lambda: defaultdict(dict)
+    )
+    has_yield_expressions: bool = field(init=False, default=False)
+    has_return_expressions: bool = field(init=False, default=False)
+    memo_var_name: Name | None = field(init=False, default=None)
+    should_instrument: bool = field(init=False, default=True)
+    variable_annotations: dict[str, expr] = field(init=False, default_factory=dict)
+    configuration_overrides: dict[str, Any] = field(init=False, default_factory=dict)
+    code_inject_index: int = field(init=False, default=0)
+
+    def __post_init__(self) -> None:
+        elements: list[str] = []
+        memo = self
+        while isinstance(memo.node, (ClassDef, FunctionDef, AsyncFunctionDef)):
+            elements.insert(0, memo.node.name)
+            if not memo.parent:
+                break
+
+            memo = memo.parent
+            if isinstance(memo.node, (FunctionDef, AsyncFunctionDef)):
+                elements.insert(0, "")
+
+        self.joined_path = Constant(".".join(elements))
+
+        # Figure out where to insert instrumentation code
+        if self.node:
+            for index, child in enumerate(self.node.body):
+                if isinstance(child, ImportFrom) and child.module == "__future__":
+                    # (module only) __future__ imports must come first
+                    continue
+                elif isinstance(child, Expr):
+                    if isinstance(child.value, Constant) and isinstance(
+                        child.value.value, str
+                    ):
+                        continue  # docstring
+                    elif sys.version_info < (3, 8) and isinstance(child.value, Str):
+                        continue  # docstring
+
+                self.code_inject_index = index
+                break
+
+    def get_unused_name(self, name: str) -> str:
+        memo: TransformMemo | None = self
+        while memo is not None:
+            if name in memo.local_names:
+                memo = self
+                name += "_"
+            else:
+                memo = memo.parent
+
+        self.local_names.add(name)
+        return name
+
+    def is_ignored_name(self, expression: expr | Expr | None) -> bool:
+        top_expression = (
+            expression.value if isinstance(expression, Expr) else expression
+        )
+
+        if isinstance(top_expression, Attribute) and isinstance(
+            top_expression.value, Name
+        ):
+            name = top_expression.value.id
+        elif isinstance(top_expression, Name):
+            name = top_expression.id
+        else:
+            return False
+
+        memo: TransformMemo | None = self
+        while memo is not None:
+            if name in memo.ignored_names:
+                return True
+
+            memo = memo.parent
+
+        return False
+
+    def get_memo_name(self) -> Name:
+        if not self.memo_var_name:
+            self.memo_var_name = Name(id="memo", ctx=Load())
+
+        return self.memo_var_name
+
+    def get_import(self, module: str, name: str) -> Name:
+        if module in self.load_names and name in self.load_names[module]:
+            return self.load_names[module][name]
+
+        qualified_name = f"{module}.{name}"
+        if name in self.imported_names and self.imported_names[name] == qualified_name:
+            return Name(id=name, ctx=Load())
+
+        alias = self.get_unused_name(name)
+        node = self.load_names[module][name] = Name(id=alias, ctx=Load())
+        self.imported_names[name] = qualified_name
+        return node
+
+    def insert_imports(self, node: Module | FunctionDef | AsyncFunctionDef) -> None:
+        """Insert imports needed by injected code."""
+        if not self.load_names:
+            return
+
+        # Insert imports after any "from __future__ ..." imports and any docstring
+        for modulename, names in self.load_names.items():
+            aliases = [
+                alias(orig_name, new_name.id if orig_name != new_name.id else None)
+                for orig_name, new_name in sorted(names.items())
+            ]
+            node.body.insert(self.code_inject_index, ImportFrom(modulename, aliases, 0))
+
+    def name_matches(self, expression: expr | Expr | None, *names: str) -> bool:
+        if expression is None:
+            return False
+
+        path: list[str] = []
+        top_expression = (
+            expression.value if isinstance(expression, Expr) else expression
+        )
+
+        if isinstance(top_expression, Subscript):
+            top_expression = top_expression.value
+        elif isinstance(top_expression, Call):
+            top_expression = top_expression.func
+
+        while isinstance(top_expression, Attribute):
+            path.insert(0, top_expression.attr)
+            top_expression = top_expression.value
+
+        if not isinstance(top_expression, Name):
+            return False
+
+        if top_expression.id in self.imported_names:
+            translated = self.imported_names[top_expression.id]
+        elif hasattr(builtins, top_expression.id):
+            translated = "builtins." + top_expression.id
+        else:
+            translated = top_expression.id
+
+        path.insert(0, translated)
+        joined_path = ".".join(path)
+        if joined_path in names:
+            return True
+        elif self.parent:
+            return self.parent.name_matches(expression, *names)
+        else:
+            return False
+
+    def get_config_keywords(self) -> list[keyword]:
+        if self.parent and isinstance(self.parent.node, ClassDef):
+            overrides = self.parent.configuration_overrides.copy()
+        else:
+            overrides = {}
+
+        overrides.update(self.configuration_overrides)
+        return [keyword(key, value) for key, value in overrides.items()]
+
+
+class NameCollector(NodeVisitor):
+    def __init__(self) -> None:
+        self.names: set[str] = set()
+
+    def visit_Import(self, node: Import) -> None:
+        for name in node.names:
+            self.names.add(name.asname or name.name)
+
+    def visit_ImportFrom(self, node: ImportFrom) -> None:
+        for name in node.names:
+            self.names.add(name.asname or name.name)
+
+    def visit_Assign(self, node: Assign) -> None:
+        for target in node.targets:
+            if isinstance(target, Name):
+                self.names.add(target.id)
+
+    def visit_NamedExpr(self, node: NamedExpr) -> Any:
+        if isinstance(node.target, Name):
+            self.names.add(node.target.id)
+
+    def visit_FunctionDef(self, node: FunctionDef) -> None:
+        pass
+
+    def visit_ClassDef(self, node: ClassDef) -> None:
+        pass
+
+
+class GeneratorDetector(NodeVisitor):
+    """Detects if a function node is a generator function."""
+
+    contains_yields: bool = False
+    in_root_function: bool = False
+
+    def visit_Yield(self, node: Yield) -> Any:
+        self.contains_yields = True
+
+    def visit_YieldFrom(self, node: YieldFrom) -> Any:
+        self.contains_yields = True
+
+    def visit_ClassDef(self, node: ClassDef) -> Any:
+        pass
+
+    def visit_FunctionDef(self, node: FunctionDef | AsyncFunctionDef) -> Any:
+        if not self.in_root_function:
+            self.in_root_function = True
+            self.generic_visit(node)
+            self.in_root_function = False
+
+    def visit_AsyncFunctionDef(self, node: AsyncFunctionDef) -> Any:
+        self.visit_FunctionDef(node)
+
+
+class AnnotationTransformer(NodeTransformer):
+    type_substitutions: ClassVar[dict[str, tuple[str, str]]] = {
+        "builtins.dict": ("typing", "Dict"),
+        "builtins.list": ("typing", "List"),
+        "builtins.tuple": ("typing", "Tuple"),
+        "builtins.set": ("typing", "Set"),
+        "builtins.frozenset": ("typing", "FrozenSet"),
+    }
+
+    def __init__(self, transformer: TypeguardTransformer):
+        self.transformer = transformer
+        self._memo = transformer._memo
+        self._level = 0
+
+    def visit(self, node: AST) -> Any:
+        self._level += 1
+        new_node = super().visit(node)
+        self._level -= 1
+
+        if isinstance(new_node, Expression) and not hasattr(new_node, "body"):
+            return None
+
+        # Return None if this new node matches a variation of typing.Any
+        if (
+            self._level == 0
+            and isinstance(new_node, expr)
+            and self._memo.name_matches(new_node, *anytype_names)
+        ):
+            return None
+
+        return new_node
+
+    def generic_visit(self, node: AST) -> AST:
+        if isinstance(node, expr) and self._memo.name_matches(node, *literal_names):
+            return node
+
+        return super().generic_visit(node)
+
+    def visit_BinOp(self, node: BinOp) -> Any:
+        self.generic_visit(node)
+
+        if isinstance(node.op, BitOr):
+            # Return Any if either side is Any
+            if self._memo.name_matches(node.left, *anytype_names):
+                return node.left
+            elif self._memo.name_matches(node.right, *anytype_names):
+                return node.right
+
+            if sys.version_info < (3, 10):
+                union_name = self.transformer._get_import("typing", "Union")
+                return Subscript(
+                    value=union_name,
+                    slice=Index(
+                        Tuple(elts=[node.left, node.right], ctx=Load()), ctx=Load()
+                    ),
+                    ctx=Load(),
+                )
+
+        return node
+
+    def visit_Attribute(self, node: Attribute) -> Any:
+        if self._memo.is_ignored_name(node):
+            return None
+
+        return node
+
+    def visit_Subscript(self, node: Subscript) -> Any:
+        if self._memo.is_ignored_name(node.value):
+            return None
+
+        # The subscript of typing(_extensions).Literal can be any arbitrary string, so
+        # don't try to evaluate it as code
+        if node.slice:
+            if isinstance(node.slice, Index):
+                # Python 3.7 and 3.8
+                slice_value = node.slice.value  # type: ignore[attr-defined]
+            else:
+                slice_value = node.slice
+
+            if isinstance(slice_value, Tuple):
+                if self._memo.name_matches(node.value, *annotated_names):
+                    # Only treat the first argument to typing.Annotated as a potential
+                    # forward reference
+                    items = cast(
+                        typing.List[expr],
+                        [self.generic_visit(slice_value.elts[0])]
+                        + slice_value.elts[1:],
+                    )
+                else:
+                    items = cast(
+                        typing.List[expr],
+                        [self.generic_visit(item) for item in slice_value.elts],
+                    )
+
+                # If this is a Union and any of the items is Any, erase the entire
+                # annotation
+                if self._memo.name_matches(node.value, "typing.Union") and any(
+                    isinstance(item, expr)
+                    and self._memo.name_matches(item, *anytype_names)
+                    for item in items
+                ):
+                    return None
+
+                # If all items in the subscript were Any, erase the subscript entirely
+                if all(item is None for item in items):
+                    return node.value
+
+                for index, item in enumerate(items):
+                    if item is None:
+                        items[index] = self.transformer._get_import("typing", "Any")
+
+                slice_value.elts = items
+            else:
+                self.generic_visit(node)
+
+                # If the transformer erased the slice entirely, just return the node
+                # value without the subscript (unless it's Optional, in which case erase
+                # the node entirely
+                if self._memo.name_matches(node.value, "typing.Optional"):
+                    return None
+                elif sys.version_info >= (3, 9) and not hasattr(node, "slice"):
+                    return node.value
+                elif sys.version_info < (3, 9) and not hasattr(node.slice, "value"):
+                    return node.value
+
+        return node
+
+    def visit_Name(self, node: Name) -> Any:
+        if self._memo.is_ignored_name(node):
+            return None
+
+        if sys.version_info < (3, 9):
+            for typename, substitute in self.type_substitutions.items():
+                if self._memo.name_matches(node, typename):
+                    new_node = self.transformer._get_import(*substitute)
+                    return copy_location(new_node, node)
+
+        return node
+
+    def visit_Call(self, node: Call) -> Any:
+        # Don't recurse into calls
+        return node
+
+    def visit_Constant(self, node: Constant) -> Any:
+        if isinstance(node.value, str):
+            expression = ast.parse(node.value, mode="eval")
+            new_node = self.visit(expression)
+            if new_node:
+                return copy_location(new_node.body, node)
+            else:
+                return None
+
+        return node
+
+    def visit_Str(self, node: Str) -> Any:
+        # Only used on Python 3.7
+        expression = ast.parse(node.s, mode="eval")
+        new_node = self.visit(expression)
+        if new_node:
+            return copy_location(new_node.body, node)
+        else:
+            return None
+
+
+class TypeguardTransformer(NodeTransformer):
+    def __init__(
+        self, target_path: Sequence[str] | None = None, target_lineno: int | None = None
+    ) -> None:
+        self._target_path = tuple(target_path) if target_path else None
+        self._memo = self._module_memo = TransformMemo(None, None, ())
+        self.names_used_in_annotations: set[str] = set()
+        self.target_node: FunctionDef | AsyncFunctionDef | None = None
+        self.target_lineno = target_lineno
+
+    @contextmanager
+    def _use_memo(
+        self, node: ClassDef | FunctionDef | AsyncFunctionDef
+    ) -> Generator[None, Any, None]:
+        new_memo = TransformMemo(node, self._memo, self._memo.path + (node.name,))
+        if isinstance(node, (FunctionDef, AsyncFunctionDef)):
+            new_memo.should_instrument = (
+                self._target_path is None or new_memo.path == self._target_path
+            )
+            if new_memo.should_instrument:
+                # Check if the function is a generator function
+                detector = GeneratorDetector()
+                detector.visit(node)
+
+                # Extract yield, send and return types where possible from a subscripted
+                # annotation like Generator[int, str, bool]
+                return_annotation = deepcopy(node.returns)
+                if detector.contains_yields and new_memo.name_matches(
+                    return_annotation, *generator_names
+                ):
+                    if isinstance(return_annotation, Subscript):
+                        annotation_slice = return_annotation.slice
+
+                        # Python < 3.9
+                        if isinstance(annotation_slice, Index):
+                            annotation_slice = (
+                                annotation_slice.value  # type: ignore[attr-defined]
+                            )
+
+                        if isinstance(annotation_slice, Tuple):
+                            items = annotation_slice.elts
+                        else:
+                            items = [annotation_slice]
+
+                        if len(items) > 0:
+                            new_memo.yield_annotation = self._convert_annotation(
+                                items[0]
+                            )
+
+                        if len(items) > 1:
+                            new_memo.send_annotation = self._convert_annotation(
+                                items[1]
+                            )
+
+                        if len(items) > 2:
+                            new_memo.return_annotation = self._convert_annotation(
+                                items[2]
+                            )
+                else:
+                    new_memo.return_annotation = self._convert_annotation(
+                        return_annotation
+                    )
+
+        if isinstance(node, AsyncFunctionDef):
+            new_memo.is_async = True
+
+        old_memo = self._memo
+        self._memo = new_memo
+        yield
+        self._memo = old_memo
+
+    def _get_import(self, module: str, name: str) -> Name:
+        memo = self._memo if self._target_path else self._module_memo
+        return memo.get_import(module, name)
+
+    @overload
+    def _convert_annotation(self, annotation: None) -> None:
+        ...
+
+    @overload
+    def _convert_annotation(self, annotation: expr) -> expr:
+        ...
+
+    def _convert_annotation(self, annotation: expr | None) -> expr | None:
+        if annotation is None:
+            return None
+
+        # Convert PEP 604 unions (x | y) and generic built-in collections where
+        # necessary, and undo forward references
+        new_annotation = cast(expr, AnnotationTransformer(self).visit(annotation))
+        if isinstance(new_annotation, expr):
+            new_annotation = ast.copy_location(new_annotation, annotation)
+
+            # Store names used in the annotation
+            names = {node.id for node in walk(new_annotation) if isinstance(node, Name)}
+            self.names_used_in_annotations.update(names)
+
+        return new_annotation
+
+    def visit_Name(self, node: Name) -> Name:
+        self._memo.local_names.add(node.id)
+        return node
+
+    def visit_Module(self, node: Module) -> Module:
+        self.generic_visit(node)
+        self._memo.insert_imports(node)
+
+        fix_missing_locations(node)
+        return node
+
+    def visit_Import(self, node: Import) -> Import:
+        for name in node.names:
+            self._memo.local_names.add(name.asname or name.name)
+            self._memo.imported_names[name.asname or name.name] = name.name
+
+        return node
+
+    def visit_ImportFrom(self, node: ImportFrom) -> ImportFrom:
+        for name in node.names:
+            if name.name != "*":
+                alias = name.asname or name.name
+                self._memo.local_names.add(alias)
+                self._memo.imported_names[alias] = f"{node.module}.{name.name}"
+
+        return node
+
+    def visit_ClassDef(self, node: ClassDef) -> ClassDef | None:
+        self._memo.local_names.add(node.name)
+
+        # Eliminate top level classes not belonging to the target path
+        if (
+            self._target_path is not None
+            and not self._memo.path
+            and node.name != self._target_path[0]
+        ):
+            return None
+
+        with self._use_memo(node):
+            for decorator in node.decorator_list.copy():
+                if self._memo.name_matches(decorator, "typeguard.typechecked"):
+                    # Remove the decorator to prevent duplicate instrumentation
+                    node.decorator_list.remove(decorator)
+
+                    # Store any configuration overrides
+                    if isinstance(decorator, Call) and decorator.keywords:
+                        self._memo.configuration_overrides.update(
+                            {kw.arg: kw.value for kw in decorator.keywords if kw.arg}
+                        )
+
+            self.generic_visit(node)
+            return node
+
+    def visit_FunctionDef(
+        self, node: FunctionDef | AsyncFunctionDef
+    ) -> FunctionDef | AsyncFunctionDef | None:
+        """
+        Injects type checks for function arguments, and for a return of None if the
+        function is annotated to return something else than Any or None, and the body
+        ends without an explicit "return".
+
+        """
+        self._memo.local_names.add(node.name)
+
+        # Eliminate top level functions not belonging to the target path
+        if (
+            self._target_path is not None
+            and not self._memo.path
+            and node.name != self._target_path[0]
+        ):
+            return None
+
+        # Skip instrumentation if we're instrumenting the whole module and the function
+        # contains either @no_type_check or @typeguard_ignore
+        if self._target_path is None:
+            for decorator in node.decorator_list:
+                if self._memo.name_matches(decorator, *ignore_decorators):
+                    return node
+
+        with self._use_memo(node):
+            arg_annotations: dict[str, Any] = {}
+            if self._target_path is None or self._memo.path == self._target_path:
+                # Find line number we're supposed to match against
+                if node.decorator_list:
+                    first_lineno = node.decorator_list[0].lineno
+                else:
+                    first_lineno = node.lineno
+
+                for decorator in node.decorator_list.copy():
+                    if self._memo.name_matches(decorator, "typing.overload"):
+                        # Remove overloads entirely
+                        return None
+                    elif self._memo.name_matches(decorator, "typeguard.typechecked"):
+                        # Remove the decorator to prevent duplicate instrumentation
+                        node.decorator_list.remove(decorator)
+
+                        # Store any configuration overrides
+                        if isinstance(decorator, Call) and decorator.keywords:
+                            self._memo.configuration_overrides = {
+                                kw.arg: kw.value for kw in decorator.keywords if kw.arg
+                            }
+
+                if self.target_lineno == first_lineno:
+                    assert self.target_node is None
+                    self.target_node = node
+                    if node.decorator_list and sys.version_info >= (3, 8):
+                        self.target_lineno = node.decorator_list[0].lineno
+                    else:
+                        self.target_lineno = node.lineno
+
+                all_args = node.args.args + node.args.kwonlyargs
+                if sys.version_info >= (3, 8):
+                    all_args.extend(node.args.posonlyargs)
+
+                # Ensure that any type shadowed by the positional or keyword-only
+                # argument names are ignored in this function
+                for arg in all_args:
+                    self._memo.ignored_names.add(arg.arg)
+
+                # Ensure that any type shadowed by the variable positional argument name
+                # (e.g. "args" in *args) is ignored this function
+                if node.args.vararg:
+                    self._memo.ignored_names.add(node.args.vararg.arg)
+
+                # Ensure that any type shadowed by the variable keywrod argument name
+                # (e.g. "kwargs" in *kwargs) is ignored this function
+                if node.args.kwarg:
+                    self._memo.ignored_names.add(node.args.kwarg.arg)
+
+                for arg in all_args:
+                    annotation = self._convert_annotation(deepcopy(arg.annotation))
+                    if annotation:
+                        arg_annotations[arg.arg] = annotation
+
+                if node.args.vararg:
+                    annotation_ = self._convert_annotation(node.args.vararg.annotation)
+                    if annotation_:
+                        if sys.version_info >= (3, 9):
+                            container = Name("tuple", ctx=Load())
+                        else:
+                            container = self._get_import("typing", "Tuple")
+
+                        subscript_slice: Tuple | Index = Tuple(
+                            [
+                                annotation_,
+                                Constant(Ellipsis),
+                            ],
+                            ctx=Load(),
+                        )
+                        if sys.version_info < (3, 9):
+                            subscript_slice = Index(subscript_slice, ctx=Load())
+
+                        arg_annotations[node.args.vararg.arg] = Subscript(
+                            container, subscript_slice, ctx=Load()
+                        )
+
+                if node.args.kwarg:
+                    annotation_ = self._convert_annotation(node.args.kwarg.annotation)
+                    if annotation_:
+                        if sys.version_info >= (3, 9):
+                            container = Name("dict", ctx=Load())
+                        else:
+                            container = self._get_import("typing", "Dict")
+
+                        subscript_slice = Tuple(
+                            [
+                                Name("str", ctx=Load()),
+                                annotation_,
+                            ],
+                            ctx=Load(),
+                        )
+                        if sys.version_info < (3, 9):
+                            subscript_slice = Index(subscript_slice, ctx=Load())
+
+                        arg_annotations[node.args.kwarg.arg] = Subscript(
+                            container, subscript_slice, ctx=Load()
+                        )
+
+                if arg_annotations:
+                    self._memo.variable_annotations.update(arg_annotations)
+
+            self.generic_visit(node)
+
+            if arg_annotations:
+                annotations_dict = Dict(
+                    keys=[Constant(key) for key in arg_annotations.keys()],
+                    values=[
+                        Tuple([Name(key, ctx=Load()), annotation], ctx=Load())
+                        for key, annotation in arg_annotations.items()
+                    ],
+                )
+                func_name = self._get_import(
+                    "typeguard._functions", "check_argument_types"
+                )
+                args = [
+                    self._memo.joined_path,
+                    annotations_dict,
+                    self._memo.get_memo_name(),
+                ]
+                node.body.insert(
+                    self._memo.code_inject_index, Expr(Call(func_name, args, []))
+                )
+
+            # Add a checked "return None" to the end if there's no explicit return
+            # Skip if the return annotation is None or Any
+            if (
+                self._memo.return_annotation
+                and (not self._memo.is_async or not self._memo.has_yield_expressions)
+                and not isinstance(node.body[-1], Return)
+                and (
+                    not isinstance(self._memo.return_annotation, Constant)
+                    or self._memo.return_annotation.value is not None
+                )
+            ):
+                func_name = self._get_import(
+                    "typeguard._functions", "check_return_type"
+                )
+                return_node = Return(
+                    Call(
+                        func_name,
+                        [
+                            self._memo.joined_path,
+                            Constant(None),
+                            self._memo.return_annotation,
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+                )
+
+                # Replace a placeholder "pass" at the end
+                if isinstance(node.body[-1], Pass):
+                    copy_location(return_node, node.body[-1])
+                    del node.body[-1]
+
+                node.body.append(return_node)
+
+            # Insert code to create the call memo, if it was ever needed for this
+            # function
+            if self._memo.memo_var_name:
+                memo_kwargs: dict[str, Any] = {}
+                if self._memo.parent and isinstance(self._memo.parent.node, ClassDef):
+                    for decorator in node.decorator_list:
+                        if (
+                            isinstance(decorator, Name)
+                            and decorator.id == "staticmethod"
+                        ):
+                            break
+                        elif (
+                            isinstance(decorator, Name)
+                            and decorator.id == "classmethod"
+                        ):
+                            memo_kwargs["self_type"] = Name(
+                                id=node.args.args[0].arg, ctx=Load()
+                            )
+                            break
+                    else:
+                        if node.args.args:
+                            if node.name == "__new__":
+                                memo_kwargs["self_type"] = Name(
+                                    id=node.args.args[0].arg, ctx=Load()
+                                )
+                            else:
+                                memo_kwargs["self_type"] = Attribute(
+                                    Name(id=node.args.args[0].arg, ctx=Load()),
+                                    "__class__",
+                                    ctx=Load(),
+                                )
+
+                # Construct the function reference
+                # Nested functions get special treatment: the function name is added
+                # to free variables (and the closure of the resulting function)
+                names: list[str] = [node.name]
+                memo = self._memo.parent
+                while memo:
+                    if isinstance(memo.node, (FunctionDef, AsyncFunctionDef)):
+                        # This is a nested function. Use the function name as-is.
+                        del names[:-1]
+                        break
+                    elif not isinstance(memo.node, ClassDef):
+                        break
+
+                    names.insert(0, memo.node.name)
+                    memo = memo.parent
+
+                config_keywords = self._memo.get_config_keywords()
+                if config_keywords:
+                    memo_kwargs["config"] = Call(
+                        self._get_import("dataclasses", "replace"),
+                        [self._get_import("typeguard._config", "global_config")],
+                        config_keywords,
+                    )
+
+                self._memo.memo_var_name.id = self._memo.get_unused_name("memo")
+                memo_store_name = Name(id=self._memo.memo_var_name.id, ctx=Store())
+                globals_call = Call(Name(id="globals", ctx=Load()), [], [])
+                locals_call = Call(Name(id="locals", ctx=Load()), [], [])
+                memo_expr = Call(
+                    self._get_import("typeguard", "TypeCheckMemo"),
+                    [globals_call, locals_call],
+                    [keyword(key, value) for key, value in memo_kwargs.items()],
+                )
+                node.body.insert(
+                    self._memo.code_inject_index,
+                    Assign([memo_store_name], memo_expr),
+                )
+
+                self._memo.insert_imports(node)
+
+                # Rmove any placeholder "pass" at the end
+                if isinstance(node.body[-1], Pass):
+                    del node.body[-1]
+
+        return node
+
+    def visit_AsyncFunctionDef(
+        self, node: AsyncFunctionDef
+    ) -> FunctionDef | AsyncFunctionDef | None:
+        return self.visit_FunctionDef(node)
+
+    def visit_Return(self, node: Return) -> Return:
+        """This injects type checks into "return" statements."""
+        self.generic_visit(node)
+        if (
+            self._memo.return_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.return_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_return_type")
+            old_node = node
+            retval = old_node.value or Constant(None)
+            node = Return(
+                Call(
+                    func_name,
+                    [
+                        self._memo.joined_path,
+                        retval,
+                        self._memo.return_annotation,
+                        self._memo.get_memo_name(),
+                    ],
+                    [],
+                )
+            )
+            copy_location(node, old_node)
+
+        return node
+
+    def visit_Yield(self, node: Yield) -> Yield | Call:
+        """
+        This injects type checks into "yield" expressions, checking both the yielded
+        value and the value sent back to the generator, when appropriate.
+
+        """
+        self._memo.has_yield_expressions = True
+        self.generic_visit(node)
+
+        if (
+            self._memo.yield_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.yield_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_yield_type")
+            yieldval = node.value or Constant(None)
+            node.value = Call(
+                func_name,
+                [
+                    self._memo.joined_path,
+                    yieldval,
+                    self._memo.yield_annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+
+        if (
+            self._memo.send_annotation
+            and self._memo.should_instrument
+            and not self._memo.is_ignored_name(self._memo.send_annotation)
+        ):
+            func_name = self._get_import("typeguard._functions", "check_send_type")
+            old_node = node
+            call_node = Call(
+                func_name,
+                [
+                    self._memo.joined_path,
+                    old_node,
+                    self._memo.send_annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+            copy_location(call_node, old_node)
+            return call_node
+
+        return node
+
+    def visit_AnnAssign(self, node: AnnAssign) -> Any:
+        """
+        This injects a type check into a local variable annotation-assignment within a
+        function body.
+
+        """
+        self.generic_visit(node)
+
+        if (
+            isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef))
+            and node.annotation
+            and isinstance(node.target, Name)
+        ):
+            self._memo.ignored_names.add(node.target.id)
+            annotation = self._convert_annotation(deepcopy(node.annotation))
+            if annotation:
+                self._memo.variable_annotations[node.target.id] = annotation
+                if node.value:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_variable_assignment"
+                    )
+                    node.value = Call(
+                        func_name,
+                        [
+                            node.value,
+                            Constant(node.target.id),
+                            annotation,
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+
+        return node
+
+    def visit_Assign(self, node: Assign) -> Any:
+        """
+        This injects a type check into a local variable assignment within a function
+        body. The variable must have been annotated earlier in the function body.
+
+        """
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)):
+            targets: list[dict[Constant, expr | None]] = []
+            check_required = False
+            for target in node.targets:
+                elts: Sequence[expr]
+                if isinstance(target, Name):
+                    elts = [target]
+                elif isinstance(target, Tuple):
+                    elts = target.elts
+                else:
+                    continue
+
+                annotations_: dict[Constant, expr | None] = {}
+                for exp in elts:
+                    prefix = ""
+                    if isinstance(exp, Starred):
+                        exp = exp.value
+                        prefix = "*"
+
+                    if isinstance(exp, Name):
+                        self._memo.ignored_names.add(exp.id)
+                        name = prefix + exp.id
+                        annotation = self._memo.variable_annotations.get(exp.id)
+                        if annotation:
+                            annotations_[Constant(name)] = annotation
+                            check_required = True
+                        else:
+                            annotations_[Constant(name)] = None
+
+                targets.append(annotations_)
+
+            if check_required:
+                # Replace missing annotations with typing.Any
+                for item in targets:
+                    for key, expression in item.items():
+                        if expression is None:
+                            item[key] = self._get_import("typing", "Any")
+
+                if len(targets) == 1 and len(targets[0]) == 1:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_variable_assignment"
+                    )
+                    target_varname = next(iter(targets[0]))
+                    node.value = Call(
+                        func_name,
+                        [
+                            node.value,
+                            target_varname,
+                            targets[0][target_varname],
+                            self._memo.get_memo_name(),
+                        ],
+                        [],
+                    )
+                elif targets:
+                    func_name = self._get_import(
+                        "typeguard._functions", "check_multi_variable_assignment"
+                    )
+                    targets_arg = List(
+                        [
+                            Dict(keys=list(target), values=list(target.values()))
+                            for target in targets
+                        ],
+                        ctx=Load(),
+                    )
+                    node.value = Call(
+                        func_name,
+                        [node.value, targets_arg, self._memo.get_memo_name()],
+                        [],
+                    )
+
+        return node
+
+    def visit_NamedExpr(self, node: NamedExpr) -> Any:
+        """This injects a type check into an assignment expression (a := foo())."""
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)) and isinstance(
+            node.target, Name
+        ):
+            self._memo.ignored_names.add(node.target.id)
+
+            # Bail out if no matching annotation is found
+            annotation = self._memo.variable_annotations.get(node.target.id)
+            if annotation is None:
+                return node
+
+            func_name = self._get_import(
+                "typeguard._functions", "check_variable_assignment"
+            )
+            node.value = Call(
+                func_name,
+                [
+                    node.value,
+                    Constant(node.target.id),
+                    annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+
+        return node
+
+    def visit_AugAssign(self, node: AugAssign) -> Any:
+        """
+        This injects a type check into an augmented assignment expression (a += 1).
+
+        """
+        self.generic_visit(node)
+
+        # Only instrument function-local assignments
+        if isinstance(self._memo.node, (FunctionDef, AsyncFunctionDef)) and isinstance(
+            node.target, Name
+        ):
+            # Bail out if no matching annotation is found
+            annotation = self._memo.variable_annotations.get(node.target.id)
+            if annotation is None:
+                return node
+
+            # Bail out if the operator is not found (newer Python version?)
+            try:
+                operator_func_name = aug_assign_functions[node.op.__class__]
+            except KeyError:
+                return node
+
+            operator_func = self._get_import("operator", operator_func_name)
+            operator_call = Call(
+                operator_func, [Name(node.target.id, ctx=Load()), node.value], []
+            )
+            check_call = Call(
+                self._get_import("typeguard._functions", "check_variable_assignment"),
+                [
+                    operator_call,
+                    Constant(node.target.id),
+                    annotation,
+                    self._memo.get_memo_name(),
+                ],
+                [],
+            )
+            return Assign(targets=[node.target], value=check_call)
+
+        return node
+
+    def visit_If(self, node: If) -> Any:
+        """
+        This blocks names from being collected from a module-level
+        "if typing.TYPE_CHECKING:" block, so that they won't be type checked.
+
+        """
+        self.generic_visit(node)
+
+        # Fix empty node body (caused by removal of classes/functions not on the target
+        # path)
+        if not node.body:
+            node.body.append(Pass())
+
+        if (
+            self._memo is self._module_memo
+            and isinstance(node.test, Name)
+            and self._memo.name_matches(node.test, "typing.TYPE_CHECKING")
+        ):
+            collector = NameCollector()
+            collector.visit(node)
+            self._memo.ignored_names.update(collector.names)
+
+        return node
diff --git a/metaflow/_vendor/v3_7/typeguard/_union_transformer.py b/metaflow/_vendor/v3_7/typeguard/_union_transformer.py
new file mode 100644
index 00000000000..fcd6349d35a
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_union_transformer.py
@@ -0,0 +1,54 @@
+"""
+Transforms lazily evaluated PEP 604 unions into typing.Unions, for compatibility with
+Python versions older than 3.10.
+"""
+from __future__ import annotations
+
+from ast import (
+    BinOp,
+    BitOr,
+    Index,
+    Load,
+    Name,
+    NodeTransformer,
+    Subscript,
+    fix_missing_locations,
+    parse,
+)
+from ast import Tuple as ASTTuple
+from types import CodeType
+from typing import Any, Dict, FrozenSet, List, Set, Tuple, Union
+
+type_substitutions = {
+    "dict": Dict,
+    "list": List,
+    "tuple": Tuple,
+    "set": Set,
+    "frozenset": FrozenSet,
+    "Union": Union,
+}
+
+
+class UnionTransformer(NodeTransformer):
+    def __init__(self, union_name: Name | None = None):
+        self.union_name = union_name or Name(id="Union", ctx=Load())
+
+    def visit_BinOp(self, node: BinOp) -> Any:
+        self.generic_visit(node)
+        if isinstance(node.op, BitOr):
+            return Subscript(
+                value=self.union_name,
+                slice=Index(
+                    ASTTuple(elts=[node.left, node.right], ctx=Load()), ctx=Load()
+                ),
+                ctx=Load(),
+            )
+
+        return node
+
+
+def compile_type_hint(hint: str) -> CodeType:
+    parsed = parse(hint, "", "eval")
+    UnionTransformer().visit(parsed)
+    fix_missing_locations(parsed)
+    return compile(parsed, "", "eval", flags=0)
diff --git a/metaflow/_vendor/v3_7/typeguard/_utils.py b/metaflow/_vendor/v3_7/typeguard/_utils.py
new file mode 100644
index 00000000000..9999ad7edca
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typeguard/_utils.py
@@ -0,0 +1,169 @@
+from __future__ import annotations
+
+import inspect
+import sys
+from importlib import import_module
+from inspect import currentframe
+from types import CodeType, FrameType, FunctionType
+from typing import TYPE_CHECKING, Any, Callable, ForwardRef, Union, cast
+from weakref import WeakValueDictionary
+
+if TYPE_CHECKING:
+    from ._memo import TypeCheckMemo
+
+if sys.version_info >= (3, 10):
+    from typing import get_args, get_origin
+
+    def evaluate_forwardref(forwardref: ForwardRef, memo: TypeCheckMemo) -> Any:
+        return forwardref._evaluate(memo.globals, memo.locals, frozenset())
+
+else:
+    from metaflow._vendor.v3_7.typing_extensions import get_args, get_origin
+
+    evaluate_extra_args: tuple[frozenset[Any], ...] = (
+        (frozenset(),) if sys.version_info >= (3, 9) else ()
+    )
+
+    def evaluate_forwardref(forwardref: ForwardRef, memo: TypeCheckMemo) -> Any:
+        from ._union_transformer import compile_type_hint, type_substitutions
+
+        if not forwardref.__forward_evaluated__:
+            forwardref.__forward_code__ = compile_type_hint(forwardref.__forward_arg__)
+
+        try:
+            return forwardref._evaluate(memo.globals, memo.locals, *evaluate_extra_args)
+        except NameError:
+            if sys.version_info < (3, 10):
+                # Try again, with the type substitutions (list -> List etc.) in place
+                new_globals = memo.globals.copy()
+                new_globals.setdefault("Union", Union)
+                if sys.version_info < (3, 9):
+                    new_globals.update(type_substitutions)
+
+                return forwardref._evaluate(
+                    new_globals, memo.locals or new_globals, *evaluate_extra_args
+                )
+
+            raise
+
+
+if sys.version_info >= (3, 8):
+    from typing import final
+else:
+    from metaflow._vendor.v3_7.typing_extensions import final
+
+
+_functions_map: WeakValueDictionary[CodeType, FunctionType] = WeakValueDictionary()
+
+
+def get_type_name(type_: Any) -> str:
+    name: str
+    for attrname in "__name__", "_name", "__forward_arg__":
+        candidate = getattr(type_, attrname, None)
+        if isinstance(candidate, str):
+            name = candidate
+            break
+    else:
+        origin = get_origin(type_)
+        candidate = getattr(origin, "_name", None)
+        if candidate is None:
+            candidate = type_.__class__.__name__.strip("_")
+
+        if isinstance(candidate, str):
+            name = candidate
+        else:
+            return "(unknown)"
+
+    args = get_args(type_)
+    if args:
+        if name == "Literal":
+            formatted_args = ", ".join(repr(arg) for arg in args)
+        else:
+            formatted_args = ", ".join(get_type_name(arg) for arg in args)
+
+        name += f"[{formatted_args}]"
+
+    module = getattr(type_, "__module__", None)
+    if module and module not in (None, "typing", "typing_extensions", "builtins"):
+        name = module + "." + name
+
+    return name
+
+
+def qualified_name(obj: Any, *, add_class_prefix: bool = False) -> str:
+    """
+    Return the qualified name (e.g. package.module.Type) for the given object.
+
+    Builtins and types from the :mod:`typing` package get special treatment by having
+    the module name stripped from the generated name.
+
+    """
+    if obj is None:
+        return "None"
+    elif inspect.isclass(obj):
+        prefix = "class " if add_class_prefix else ""
+        type_ = obj
+    else:
+        prefix = ""
+        type_ = type(obj)
+
+    module = type_.__module__
+    qualname = type_.__qualname__
+    name = qualname if module in ("typing", "builtins") else f"{module}.{qualname}"
+    return prefix + name
+
+
+def function_name(func: Callable[..., Any]) -> str:
+    """
+    Return the qualified name of the given function.
+
+    Builtins and types from the :mod:`typing` package get special treatment by having
+    the module name stripped from the generated name.
+
+    """
+    # For partial functions and objects with __call__ defined, __qualname__ does not
+    # exist
+    module = getattr(func, "__module__", "")
+    qualname = (module + ".") if module not in ("builtins", "") else ""
+    return qualname + getattr(func, "__qualname__", repr(func))
+
+
+def resolve_reference(reference: str) -> Any:
+    modulename, varname = reference.partition(":")[::2]
+    if not modulename or not varname:
+        raise ValueError(f"{reference!r} is not a module:varname reference")
+
+    obj = import_module(modulename)
+    for attr in varname.split("."):
+        obj = getattr(obj, attr)
+
+    return obj
+
+
+def is_method_of(obj: object, cls: type) -> bool:
+    return (
+        inspect.isfunction(obj)
+        and obj.__module__ == cls.__module__
+        and obj.__qualname__.startswith(cls.__qualname__ + ".")
+    )
+
+
+def get_stacklevel() -> int:
+    level = 1
+    frame = cast(FrameType, currentframe()).f_back
+    while frame and frame.f_globals.get("__name__", "").startswith("typeguard."):
+        level += 1
+        frame = frame.f_back
+
+    return level
+
+
+@final
+class Unset:
+    __slots__ = ()
+
+    def __repr__(self) -> str:
+        return ""
+
+
+unset = Unset()
diff --git a/metaflow/_vendor/v3_7/typeguard/py.typed b/metaflow/_vendor/v3_7/typeguard/py.typed
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/metaflow/_vendor/v3_7/typing_extensions.LICENSE b/metaflow/_vendor/v3_7/typing_extensions.LICENSE
new file mode 100644
index 00000000000..f26bcf4d2de
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typing_extensions.LICENSE
@@ -0,0 +1,279 @@
+A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC.  Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team.  In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation.  In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
+
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition).  Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+    Release         Derived     Year        Owner       GPL-
+                    from                                compatible? (1)
+
+    0.9.0 thru 1.2              1991-1995   CWI         yes
+    1.3 thru 1.5.2  1.2         1995-1999   CNRI        yes
+    1.6             1.5.2       2000        CNRI        no
+    2.0             1.6         2000        BeOpen.com  no
+    1.6.1           1.6         2001        CNRI        yes (2)
+    2.1             2.0+1.6.1   2001        PSF         no
+    2.0.1           2.0+1.6.1   2001        PSF         yes
+    2.1.1           2.1+2.0.1   2001        PSF         yes
+    2.1.2           2.1.1       2002        PSF         yes
+    2.1.3           2.1.2       2002        PSF         yes
+    2.2 and above   2.1.1       2001-now    PSF         yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+    the GPL.  All Python licenses, unlike the GPL, let you distribute
+    a modified version without making your changes open source.  The
+    GPL-compatible licenses make it possible to combine Python with
+    other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+    because its license has a choice of law clause.  According to
+    CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+    is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+Python software and documentation are licensed under the
+Python Software Foundation License Version 2.
+
+Starting with Python 3.8.6, examples, recipes, and other code in
+the documentation are dual licensed under the PSF License Version 2
+and the Zero-Clause BSD license.
+
+Some software incorporated into Python is under different licenses.
+The licenses are listed with code falling under that license.
+
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using this software ("Python") in source or binary form and
+its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF hereby
+grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+analyze, test, perform and/or display publicly, prepare derivative works,
+distribute, and otherwise use Python alone or in any derivative version,
+provided, however, that PSF's License Agreement and PSF's notice of copyright,
+i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;
+All Rights Reserved" are retained in Python alone or in any derivative version
+prepared by Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python.
+
+4. PSF is making Python available to Licensee on an "AS IS"
+basis.  PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee.  This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
+basis.  BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+5. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+6. This License Agreement shall be governed by and interpreted in all
+respects by the law of the State of California, excluding conflict of
+law provisions.  Nothing in this License Agreement shall be deemed to
+create any relationship of agency, partnership, or joint venture
+between BeOpen and Licensee.  This License Agreement does not grant
+permission to use BeOpen trademarks or trade names in a trademark
+sense to endorse or promote products or services of Licensee, or any
+third party.  As an exception, the "BeOpen Python" logos available at
+http://www.pythonlabs.com/logos.html may be used according to the
+permissions granted on that web page.
+
+7. By copying, installing or otherwise using the software, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
+source or binary form and its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, CNRI
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 1.6.1
+alone or in any derivative version, provided, however, that CNRI's
+License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+1995-2001 Corporation for National Research Initiatives; All Rights
+Reserved" are retained in Python 1.6.1 alone or in any derivative
+version prepared by Licensee.  Alternately, in lieu of CNRI's License
+Agreement, Licensee may substitute the following text (omitting the
+quotes): "Python 1.6.1 is made available subject to the terms and
+conditions in CNRI's License Agreement.  This Agreement together with
+Python 1.6.1 may be located on the internet using the following
+unique, persistent identifier (known as a handle): 1895.22/1013.  This
+Agreement may also be obtained from a proxy server on the internet
+using the following URL: http://hdl.handle.net/1895.22/1013".
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 1.6.1 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 1.6.1.
+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+basis.  CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. This License Agreement shall be governed by the federal
+intellectual property law of the United States, including without
+limitation the federal copyright law, and, to the extent such
+U.S. federal law does not apply, by the law of the Commonwealth of
+Virginia, excluding Virginia's conflict of law provisions.
+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
+previously distributed under the GNU General Public License (GPL), the
+law of the Commonwealth of Virginia shall govern this License
+Agreement only as to issues arising under or with respect to
+Paragraphs 4, 5, and 7 of this License Agreement.  Nothing in this
+License Agreement shall be deemed to create any relationship of
+agency, partnership, or joint venture between CNRI and Licensee.  This
+License Agreement does not grant permission to use CNRI trademarks or
+trade name in a trademark sense to endorse or promote products or
+services of Licensee, or any third party.
+
+8. By clicking on the "ACCEPT" button where indicated, or by copying,
+installing or otherwise using Python 1.6.1, Licensee agrees to be
+bound by the terms and conditions of this License Agreement.
+
+        ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands.  All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
+documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appear in all copies and that
+both that copyright notice and this permission notice appear in
+supporting documentation, and that the name of Stichting Mathematisch
+Centrum or CWI not be used in advertising or publicity pertaining to
+distribution of the software without specific, written prior
+permission.
+
+STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+----------------------------------------------------------------------
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
diff --git a/metaflow/_vendor/v3_7/typing_extensions.py b/metaflow/_vendor/v3_7/typing_extensions.py
new file mode 100644
index 00000000000..6b7dc6cc103
--- /dev/null
+++ b/metaflow/_vendor/v3_7/typing_extensions.py
@@ -0,0 +1,3072 @@
+import abc
+import collections
+import collections.abc
+import functools
+import inspect
+import operator
+import sys
+import types as _types
+import typing
+import warnings
+
+__all__ = [
+    # Super-special typing primitives.
+    'Any',
+    'ClassVar',
+    'Concatenate',
+    'Final',
+    'LiteralString',
+    'ParamSpec',
+    'ParamSpecArgs',
+    'ParamSpecKwargs',
+    'Self',
+    'Type',
+    'TypeVar',
+    'TypeVarTuple',
+    'Unpack',
+
+    # ABCs (from collections.abc).
+    'Awaitable',
+    'AsyncIterator',
+    'AsyncIterable',
+    'Coroutine',
+    'AsyncGenerator',
+    'AsyncContextManager',
+    'Buffer',
+    'ChainMap',
+
+    # Concrete collection types.
+    'ContextManager',
+    'Counter',
+    'Deque',
+    'DefaultDict',
+    'NamedTuple',
+    'OrderedDict',
+    'TypedDict',
+
+    # Structural checks, a.k.a. protocols.
+    'SupportsAbs',
+    'SupportsBytes',
+    'SupportsComplex',
+    'SupportsFloat',
+    'SupportsIndex',
+    'SupportsInt',
+    'SupportsRound',
+
+    # One-off things.
+    'Annotated',
+    'assert_never',
+    'assert_type',
+    'clear_overloads',
+    'dataclass_transform',
+    'deprecated',
+    'get_overloads',
+    'final',
+    'get_args',
+    'get_origin',
+    'get_original_bases',
+    'get_protocol_members',
+    'get_type_hints',
+    'IntVar',
+    'is_protocol',
+    'is_typeddict',
+    'Literal',
+    'NewType',
+    'overload',
+    'override',
+    'Protocol',
+    'reveal_type',
+    'runtime',
+    'runtime_checkable',
+    'Text',
+    'TypeAlias',
+    'TypeAliasType',
+    'TypeGuard',
+    'TYPE_CHECKING',
+    'Never',
+    'NoReturn',
+    'Required',
+    'NotRequired',
+
+    # Pure aliases, have always been in typing
+    'AbstractSet',
+    'AnyStr',
+    'BinaryIO',
+    'Callable',
+    'Collection',
+    'Container',
+    'Dict',
+    'ForwardRef',
+    'FrozenSet',
+    'Generator',
+    'Generic',
+    'Hashable',
+    'IO',
+    'ItemsView',
+    'Iterable',
+    'Iterator',
+    'KeysView',
+    'List',
+    'Mapping',
+    'MappingView',
+    'Match',
+    'MutableMapping',
+    'MutableSequence',
+    'MutableSet',
+    'Optional',
+    'Pattern',
+    'Reversible',
+    'Sequence',
+    'Set',
+    'Sized',
+    'TextIO',
+    'Tuple',
+    'Union',
+    'ValuesView',
+    'cast',
+    'no_type_check',
+    'no_type_check_decorator',
+]
+
+# for backward compatibility
+PEP_560 = True
+GenericMeta = type
+
+# The functions below are modified copies of typing internal helpers.
+# They are needed by _ProtocolMeta and they provide support for PEP 646.
+
+
+class _Sentinel:
+    def __repr__(self):
+        return ""
+
+
+_marker = _Sentinel()
+
+
+def _check_generic(cls, parameters, elen=_marker):
+    """Check correct count for parameters of a generic cls (internal helper).
+    This gives a nice error message in case of count mismatch.
+    """
+    if not elen:
+        raise TypeError(f"{cls} is not a generic class")
+    if elen is _marker:
+        if not hasattr(cls, "__parameters__") or not cls.__parameters__:
+            raise TypeError(f"{cls} is not a generic class")
+        elen = len(cls.__parameters__)
+    alen = len(parameters)
+    if alen != elen:
+        if hasattr(cls, "__parameters__"):
+            parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
+            num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters)
+            if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples):
+                return
+        raise TypeError(f"Too {'many' if alen > elen else 'few'} parameters for {cls};"
+                        f" actual {alen}, expected {elen}")
+
+
+if sys.version_info >= (3, 10):
+    def _should_collect_from_parameters(t):
+        return isinstance(
+            t, (typing._GenericAlias, _types.GenericAlias, _types.UnionType)
+        )
+elif sys.version_info >= (3, 9):
+    def _should_collect_from_parameters(t):
+        return isinstance(t, (typing._GenericAlias, _types.GenericAlias))
+else:
+    def _should_collect_from_parameters(t):
+        return isinstance(t, typing._GenericAlias) and not t._special
+
+
+def _collect_type_vars(types, typevar_types=None):
+    """Collect all type variable contained in types in order of
+    first appearance (lexicographic order). For example::
+
+        _collect_type_vars((T, List[S, T])) == (T, S)
+    """
+    if typevar_types is None:
+        typevar_types = typing.TypeVar
+    tvars = []
+    for t in types:
+        if (
+            isinstance(t, typevar_types) and
+            t not in tvars and
+            not _is_unpack(t)
+        ):
+            tvars.append(t)
+        if _should_collect_from_parameters(t):
+            tvars.extend([t for t in t.__parameters__ if t not in tvars])
+    return tuple(tvars)
+
+
+NoReturn = typing.NoReturn
+
+# Some unconstrained type variables.  These are used by the container types.
+# (These are not for export.)
+T = typing.TypeVar('T')  # Any type.
+KT = typing.TypeVar('KT')  # Key type.
+VT = typing.TypeVar('VT')  # Value type.
+T_co = typing.TypeVar('T_co', covariant=True)  # Any type covariant containers.
+T_contra = typing.TypeVar('T_contra', contravariant=True)  # Ditto contravariant.
+
+
+if sys.version_info >= (3, 11):
+    from typing import Any
+else:
+
+    class _AnyMeta(type):
+        def __instancecheck__(self, obj):
+            if self is Any:
+                raise TypeError("typing_extensions.Any cannot be used with isinstance()")
+            return super().__instancecheck__(obj)
+
+        def __repr__(self):
+            if self is Any:
+                return "typing_extensions.Any"
+            return super().__repr__()
+
+    class Any(metaclass=_AnyMeta):
+        """Special type indicating an unconstrained type.
+        - Any is compatible with every type.
+        - Any assumed to have all methods.
+        - All values assumed to be instances of Any.
+        Note that all the above statements are true from the point of view of
+        static type checkers. At runtime, Any should not be used with instance
+        checks.
+        """
+        def __new__(cls, *args, **kwargs):
+            if cls is Any:
+                raise TypeError("Any cannot be instantiated")
+            return super().__new__(cls, *args, **kwargs)
+
+
+ClassVar = typing.ClassVar
+
+
+class _ExtensionsSpecialForm(typing._SpecialForm, _root=True):
+    def __repr__(self):
+        return 'typing_extensions.' + self._name
+
+
+# On older versions of typing there is an internal class named "Final".
+# 3.8+
+if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7):
+    Final = typing.Final
+# 3.7
+else:
+    class _FinalForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return typing._GenericAlias(self, (item,))
+
+    Final = _FinalForm('Final',
+                       doc="""A special typing construct to indicate that a name
+                       cannot be re-assigned or overridden in a subclass.
+                       For example:
+
+                           MAX_SIZE: Final = 9000
+                           MAX_SIZE += 1  # Error reported by type checker
+
+                           class Connection:
+                               TIMEOUT: Final[int] = 10
+                           class FastConnector(Connection):
+                               TIMEOUT = 1  # Error reported by type checker
+
+                       There is no runtime checking of these properties.""")
+
+if sys.version_info >= (3, 11):
+    final = typing.final
+else:
+    # @final exists in 3.8+, but we backport it for all versions
+    # before 3.11 to keep support for the __final__ attribute.
+    # See https://bugs.python.org/issue46342
+    def final(f):
+        """This decorator can be used to indicate to type checkers that
+        the decorated method cannot be overridden, and decorated class
+        cannot be subclassed. For example:
+
+            class Base:
+                @final
+                def done(self) -> None:
+                    ...
+            class Sub(Base):
+                def done(self) -> None:  # Error reported by type checker
+                    ...
+            @final
+            class Leaf:
+                ...
+            class Other(Leaf):  # Error reported by type checker
+                ...
+
+        There is no runtime checking of these properties. The decorator
+        sets the ``__final__`` attribute to ``True`` on the decorated object
+        to allow runtime introspection.
+        """
+        try:
+            f.__final__ = True
+        except (AttributeError, TypeError):
+            # Skip the attribute silently if it is not writable.
+            # AttributeError happens if the object has __slots__ or a
+            # read-only property, TypeError if it's a builtin class.
+            pass
+        return f
+
+
+def IntVar(name):
+    return typing.TypeVar(name)
+
+
+# A Literal bug was fixed in 3.11.0, 3.10.1 and 3.9.8
+if sys.version_info >= (3, 10, 1):
+    Literal = typing.Literal
+else:
+    def _flatten_literal_params(parameters):
+        """An internal helper for Literal creation: flatten Literals among parameters"""
+        params = []
+        for p in parameters:
+            if isinstance(p, _LiteralGenericAlias):
+                params.extend(p.__args__)
+            else:
+                params.append(p)
+        return tuple(params)
+
+    def _value_and_type_iter(params):
+        for p in params:
+            yield p, type(p)
+
+    class _LiteralGenericAlias(typing._GenericAlias, _root=True):
+        def __eq__(self, other):
+            if not isinstance(other, _LiteralGenericAlias):
+                return NotImplemented
+            these_args_deduped = set(_value_and_type_iter(self.__args__))
+            other_args_deduped = set(_value_and_type_iter(other.__args__))
+            return these_args_deduped == other_args_deduped
+
+        def __hash__(self):
+            return hash(frozenset(_value_and_type_iter(self.__args__)))
+
+    class _LiteralForm(_ExtensionsSpecialForm, _root=True):
+        def __init__(self, doc: str):
+            self._name = 'Literal'
+            self._doc = self.__doc__ = doc
+
+        def __getitem__(self, parameters):
+            if not isinstance(parameters, tuple):
+                parameters = (parameters,)
+
+            parameters = _flatten_literal_params(parameters)
+
+            val_type_pairs = list(_value_and_type_iter(parameters))
+            try:
+                deduped_pairs = set(val_type_pairs)
+            except TypeError:
+                # unhashable parameters
+                pass
+            else:
+                # similar logic to typing._deduplicate on Python 3.9+
+                if len(deduped_pairs) < len(val_type_pairs):
+                    new_parameters = []
+                    for pair in val_type_pairs:
+                        if pair in deduped_pairs:
+                            new_parameters.append(pair[0])
+                            deduped_pairs.remove(pair)
+                    assert not deduped_pairs, deduped_pairs
+                    parameters = tuple(new_parameters)
+
+            return _LiteralGenericAlias(self, parameters)
+
+    Literal = _LiteralForm(doc="""\
+                           A type that can be used to indicate to type checkers
+                           that the corresponding value has a value literally equivalent
+                           to the provided parameter. For example:
+
+                               var: Literal[4] = 4
+
+                           The type checker understands that 'var' is literally equal to
+                           the value 4 and no other value.
+
+                           Literal[...] cannot be subclassed. There is no runtime
+                           checking verifying that the parameter is actually a value
+                           instead of a type.""")
+
+
+_overload_dummy = typing._overload_dummy
+
+
+if hasattr(typing, "get_overloads"):  # 3.11+
+    overload = typing.overload
+    get_overloads = typing.get_overloads
+    clear_overloads = typing.clear_overloads
+else:
+    # {module: {qualname: {firstlineno: func}}}
+    _overload_registry = collections.defaultdict(
+        functools.partial(collections.defaultdict, dict)
+    )
+
+    def overload(func):
+        """Decorator for overloaded functions/methods.
+
+        In a stub file, place two or more stub definitions for the same
+        function in a row, each decorated with @overload.  For example:
+
+        @overload
+        def utf8(value: None) -> None: ...
+        @overload
+        def utf8(value: bytes) -> bytes: ...
+        @overload
+        def utf8(value: str) -> bytes: ...
+
+        In a non-stub file (i.e. a regular .py file), do the same but
+        follow it with an implementation.  The implementation should *not*
+        be decorated with @overload.  For example:
+
+        @overload
+        def utf8(value: None) -> None: ...
+        @overload
+        def utf8(value: bytes) -> bytes: ...
+        @overload
+        def utf8(value: str) -> bytes: ...
+        def utf8(value):
+            # implementation goes here
+
+        The overloads for a function can be retrieved at runtime using the
+        get_overloads() function.
+        """
+        # classmethod and staticmethod
+        f = getattr(func, "__func__", func)
+        try:
+            _overload_registry[f.__module__][f.__qualname__][
+                f.__code__.co_firstlineno
+            ] = func
+        except AttributeError:
+            # Not a normal function; ignore.
+            pass
+        return _overload_dummy
+
+    def get_overloads(func):
+        """Return all defined overloads for *func* as a sequence."""
+        # classmethod and staticmethod
+        f = getattr(func, "__func__", func)
+        if f.__module__ not in _overload_registry:
+            return []
+        mod_dict = _overload_registry[f.__module__]
+        if f.__qualname__ not in mod_dict:
+            return []
+        return list(mod_dict[f.__qualname__].values())
+
+    def clear_overloads():
+        """Clear all overloads in the registry."""
+        _overload_registry.clear()
+
+
+# This is not a real generic class.  Don't use outside annotations.
+Type = typing.Type
+
+# Various ABCs mimicking those in collections.abc.
+# A few are simply re-exported for completeness.
+
+
+Awaitable = typing.Awaitable
+Coroutine = typing.Coroutine
+AsyncIterable = typing.AsyncIterable
+AsyncIterator = typing.AsyncIterator
+Deque = typing.Deque
+ContextManager = typing.ContextManager
+AsyncContextManager = typing.AsyncContextManager
+DefaultDict = typing.DefaultDict
+
+# 3.7.2+
+if hasattr(typing, 'OrderedDict'):
+    OrderedDict = typing.OrderedDict
+# 3.7.0-3.7.2
+else:
+    OrderedDict = typing._alias(collections.OrderedDict, (KT, VT))
+
+Counter = typing.Counter
+ChainMap = typing.ChainMap
+AsyncGenerator = typing.AsyncGenerator
+Text = typing.Text
+TYPE_CHECKING = typing.TYPE_CHECKING
+
+
+_PROTO_ALLOWLIST = {
+    'collections.abc': [
+        'Callable', 'Awaitable', 'Iterable', 'Iterator', 'AsyncIterable',
+        'Hashable', 'Sized', 'Container', 'Collection', 'Reversible', 'Buffer',
+    ],
+    'contextlib': ['AbstractContextManager', 'AbstractAsyncContextManager'],
+    'typing_extensions': ['Buffer'],
+}
+
+
+_EXCLUDED_ATTRS = {
+    "__abstractmethods__", "__annotations__", "__weakref__", "_is_protocol",
+    "_is_runtime_protocol", "__dict__", "__slots__", "__parameters__",
+    "__orig_bases__", "__module__", "_MutableMapping__marker", "__doc__",
+    "__subclasshook__", "__orig_class__", "__init__", "__new__",
+    "__protocol_attrs__", "__callable_proto_members_only__",
+}
+
+if sys.version_info < (3, 8):
+    _EXCLUDED_ATTRS |= {
+        "_gorg", "__next_in_mro__", "__extra__", "__tree_hash__", "__args__",
+        "__origin__"
+    }
+
+if sys.version_info >= (3, 9):
+    _EXCLUDED_ATTRS.add("__class_getitem__")
+
+if sys.version_info >= (3, 12):
+    _EXCLUDED_ATTRS.add("__type_params__")
+
+_EXCLUDED_ATTRS = frozenset(_EXCLUDED_ATTRS)
+
+
+def _get_protocol_attrs(cls):
+    attrs = set()
+    for base in cls.__mro__[:-1]:  # without object
+        if base.__name__ in {'Protocol', 'Generic'}:
+            continue
+        annotations = getattr(base, '__annotations__', {})
+        for attr in (*base.__dict__, *annotations):
+            if (not attr.startswith('_abc_') and attr not in _EXCLUDED_ATTRS):
+                attrs.add(attr)
+    return attrs
+
+
+def _maybe_adjust_parameters(cls):
+    """Helper function used in Protocol.__init_subclass__ and _TypedDictMeta.__new__.
+
+    The contents of this function are very similar
+    to logic found in typing.Generic.__init_subclass__
+    on the CPython main branch.
+    """
+    tvars = []
+    if '__orig_bases__' in cls.__dict__:
+        tvars = _collect_type_vars(cls.__orig_bases__)
+        # Look for Generic[T1, ..., Tn] or Protocol[T1, ..., Tn].
+        # If found, tvars must be a subset of it.
+        # If not found, tvars is it.
+        # Also check for and reject plain Generic,
+        # and reject multiple Generic[...] and/or Protocol[...].
+        gvars = None
+        for base in cls.__orig_bases__:
+            if (isinstance(base, typing._GenericAlias) and
+                    base.__origin__ in (typing.Generic, Protocol)):
+                # for error messages
+                the_base = base.__origin__.__name__
+                if gvars is not None:
+                    raise TypeError(
+                        "Cannot inherit from Generic[...]"
+                        " and/or Protocol[...] multiple types.")
+                gvars = base.__parameters__
+        if gvars is None:
+            gvars = tvars
+        else:
+            tvarset = set(tvars)
+            gvarset = set(gvars)
+            if not tvarset <= gvarset:
+                s_vars = ', '.join(str(t) for t in tvars if t not in gvarset)
+                s_args = ', '.join(str(g) for g in gvars)
+                raise TypeError(f"Some type variables ({s_vars}) are"
+                                f" not listed in {the_base}[{s_args}]")
+            tvars = gvars
+    cls.__parameters__ = tuple(tvars)
+
+
+def _caller(depth=2):
+    try:
+        return sys._getframe(depth).f_globals.get('__name__', '__main__')
+    except (AttributeError, ValueError):  # For platforms without _getframe()
+        return None
+
+
+# The performance of runtime-checkable protocols is significantly improved on Python 3.12,
+# so we backport the 3.12 version of Protocol to Python <=3.11
+if sys.version_info >= (3, 12):
+    Protocol = typing.Protocol
+else:
+    def _allow_reckless_class_checks(depth=3):
+        """Allow instance and class checks for special stdlib modules.
+        The abc and functools modules indiscriminately call isinstance() and
+        issubclass() on the whole MRO of a user class, which may contain protocols.
+        """
+        return _caller(depth) in {'abc', 'functools', None}
+
+    def _no_init(self, *args, **kwargs):
+        if type(self)._is_protocol:
+            raise TypeError('Protocols cannot be instantiated')
+
+    if sys.version_info >= (3, 8):
+        # Inheriting from typing._ProtocolMeta isn't actually desirable,
+        # but is necessary to allow typing.Protocol and typing_extensions.Protocol
+        # to mix without getting TypeErrors about "metaclass conflict"
+        _typing_Protocol = typing.Protocol
+        _ProtocolMetaBase = type(_typing_Protocol)
+    else:
+        _typing_Protocol = _marker
+        _ProtocolMetaBase = abc.ABCMeta
+
+    class _ProtocolMeta(_ProtocolMetaBase):
+        # This metaclass is somewhat unfortunate,
+        # but is necessary for several reasons...
+        #
+        # NOTE: DO NOT call super() in any methods in this class
+        # That would call the methods on typing._ProtocolMeta on Python 3.8-3.11
+        # and those are slow
+        def __new__(mcls, name, bases, namespace, **kwargs):
+            if name == "Protocol" and len(bases) < 2:
+                pass
+            elif {Protocol, _typing_Protocol} & set(bases):
+                for base in bases:
+                    if not (
+                        base in {object, typing.Generic, Protocol, _typing_Protocol}
+                        or base.__name__ in _PROTO_ALLOWLIST.get(base.__module__, [])
+                        or is_protocol(base)
+                    ):
+                        raise TypeError(
+                            f"Protocols can only inherit from other protocols, "
+                            f"got {base!r}"
+                        )
+            return abc.ABCMeta.__new__(mcls, name, bases, namespace, **kwargs)
+
+        def __init__(cls, *args, **kwargs):
+            abc.ABCMeta.__init__(cls, *args, **kwargs)
+            if getattr(cls, "_is_protocol", False):
+                cls.__protocol_attrs__ = _get_protocol_attrs(cls)
+                # PEP 544 prohibits using issubclass()
+                # with protocols that have non-method members.
+                cls.__callable_proto_members_only__ = all(
+                    callable(getattr(cls, attr, None)) for attr in cls.__protocol_attrs__
+                )
+
+        def __subclasscheck__(cls, other):
+            if cls is Protocol:
+                return type.__subclasscheck__(cls, other)
+            if (
+                getattr(cls, '_is_protocol', False)
+                and not _allow_reckless_class_checks()
+            ):
+                if not isinstance(other, type):
+                    # Same error message as for issubclass(1, int).
+                    raise TypeError('issubclass() arg 1 must be a class')
+                if (
+                    not cls.__callable_proto_members_only__
+                    and cls.__dict__.get("__subclasshook__") is _proto_hook
+                ):
+                    raise TypeError(
+                        "Protocols with non-method members don't support issubclass()"
+                    )
+                if not getattr(cls, '_is_runtime_protocol', False):
+                    raise TypeError(
+                        "Instance and class checks can only be used with "
+                        "@runtime_checkable protocols"
+                    )
+            return abc.ABCMeta.__subclasscheck__(cls, other)
+
+        def __instancecheck__(cls, instance):
+            # We need this method for situations where attributes are
+            # assigned in __init__.
+            if cls is Protocol:
+                return type.__instancecheck__(cls, instance)
+            if not getattr(cls, "_is_protocol", False):
+                # i.e., it's a concrete subclass of a protocol
+                return abc.ABCMeta.__instancecheck__(cls, instance)
+
+            if (
+                not getattr(cls, '_is_runtime_protocol', False) and
+                not _allow_reckless_class_checks()
+            ):
+                raise TypeError("Instance and class checks can only be used with"
+                                " @runtime_checkable protocols")
+
+            if abc.ABCMeta.__instancecheck__(cls, instance):
+                return True
+
+            for attr in cls.__protocol_attrs__:
+                try:
+                    val = inspect.getattr_static(instance, attr)
+                except AttributeError:
+                    break
+                if val is None and callable(getattr(cls, attr, None)):
+                    break
+            else:
+                return True
+
+            return False
+
+        def __eq__(cls, other):
+            # Hack so that typing.Generic.__class_getitem__
+            # treats typing_extensions.Protocol
+            # as equivalent to typing.Protocol on Python 3.8+
+            if abc.ABCMeta.__eq__(cls, other) is True:
+                return True
+            return (
+                cls is Protocol and other is getattr(typing, "Protocol", object())
+            )
+
+        # This has to be defined, or the abc-module cache
+        # complains about classes with this metaclass being unhashable,
+        # if we define only __eq__!
+        def __hash__(cls) -> int:
+            return type.__hash__(cls)
+
+    @classmethod
+    def _proto_hook(cls, other):
+        if not cls.__dict__.get('_is_protocol', False):
+            return NotImplemented
+
+        for attr in cls.__protocol_attrs__:
+            for base in other.__mro__:
+                # Check if the members appears in the class dictionary...
+                if attr in base.__dict__:
+                    if base.__dict__[attr] is None:
+                        return NotImplemented
+                    break
+
+                # ...or in annotations, if it is a sub-protocol.
+                annotations = getattr(base, '__annotations__', {})
+                if (
+                    isinstance(annotations, collections.abc.Mapping)
+                    and attr in annotations
+                    and is_protocol(other)
+                ):
+                    break
+            else:
+                return NotImplemented
+        return True
+
+    if sys.version_info >= (3, 8):
+        class Protocol(typing.Generic, metaclass=_ProtocolMeta):
+            __doc__ = typing.Protocol.__doc__
+            __slots__ = ()
+            _is_protocol = True
+            _is_runtime_protocol = False
+
+            def __init_subclass__(cls, *args, **kwargs):
+                super().__init_subclass__(*args, **kwargs)
+
+                # Determine if this is a protocol or a concrete subclass.
+                if not cls.__dict__.get('_is_protocol', False):
+                    cls._is_protocol = any(b is Protocol for b in cls.__bases__)
+
+                # Set (or override) the protocol subclass hook.
+                if '__subclasshook__' not in cls.__dict__:
+                    cls.__subclasshook__ = _proto_hook
+
+                # Prohibit instantiation for protocol classes
+                if cls._is_protocol and cls.__init__ is Protocol.__init__:
+                    cls.__init__ = _no_init
+
+    else:
+        class Protocol(metaclass=_ProtocolMeta):
+            # There is quite a lot of overlapping code with typing.Generic.
+            # Unfortunately it is hard to avoid this on Python <3.8,
+            # as the typing module on Python 3.7 doesn't let us subclass typing.Generic!
+            """Base class for protocol classes. Protocol classes are defined as::
+
+                class Proto(Protocol):
+                    def meth(self) -> int:
+                        ...
+
+            Such classes are primarily used with static type checkers that recognize
+            structural subtyping (static duck-typing), for example::
+
+                class C:
+                    def meth(self) -> int:
+                        return 0
+
+                def func(x: Proto) -> int:
+                    return x.meth()
+
+                func(C())  # Passes static type check
+
+            See PEP 544 for details. Protocol classes decorated with
+            @typing_extensions.runtime_checkable act
+            as simple-minded runtime-checkable protocols that check
+            only the presence of given attributes, ignoring their type signatures.
+
+            Protocol classes can be generic, they are defined as::
+
+                class GenProto(Protocol[T]):
+                    def meth(self) -> T:
+                        ...
+            """
+            __slots__ = ()
+            _is_protocol = True
+            _is_runtime_protocol = False
+
+            def __new__(cls, *args, **kwds):
+                if cls is Protocol:
+                    raise TypeError("Type Protocol cannot be instantiated; "
+                                    "it can only be used as a base class")
+                return super().__new__(cls)
+
+            @typing._tp_cache
+            def __class_getitem__(cls, params):
+                if not isinstance(params, tuple):
+                    params = (params,)
+                if not params and cls is not typing.Tuple:
+                    raise TypeError(
+                        f"Parameter list to {cls.__qualname__}[...] cannot be empty")
+                msg = "Parameters to generic types must be types."
+                params = tuple(typing._type_check(p, msg) for p in params)
+                if cls is Protocol:
+                    # Generic can only be subscripted with unique type variables.
+                    if not all(isinstance(p, typing.TypeVar) for p in params):
+                        i = 0
+                        while isinstance(params[i], typing.TypeVar):
+                            i += 1
+                        raise TypeError(
+                            "Parameters to Protocol[...] must all be type variables."
+                            f" Parameter {i + 1} is {params[i]}")
+                    if len(set(params)) != len(params):
+                        raise TypeError(
+                            "Parameters to Protocol[...] must all be unique")
+                else:
+                    # Subscripting a regular Generic subclass.
+                    _check_generic(cls, params, len(cls.__parameters__))
+                return typing._GenericAlias(cls, params)
+
+            def __init_subclass__(cls, *args, **kwargs):
+                if '__orig_bases__' in cls.__dict__:
+                    error = typing.Generic in cls.__orig_bases__
+                else:
+                    error = typing.Generic in cls.__bases__
+                if error:
+                    raise TypeError("Cannot inherit from plain Generic")
+                _maybe_adjust_parameters(cls)
+
+                # Determine if this is a protocol or a concrete subclass.
+                if not cls.__dict__.get('_is_protocol', None):
+                    cls._is_protocol = any(b is Protocol for b in cls.__bases__)
+
+                # Set (or override) the protocol subclass hook.
+                if '__subclasshook__' not in cls.__dict__:
+                    cls.__subclasshook__ = _proto_hook
+
+                # Prohibit instantiation for protocol classes
+                if cls._is_protocol and cls.__init__ is Protocol.__init__:
+                    cls.__init__ = _no_init
+
+
+if sys.version_info >= (3, 8):
+    runtime_checkable = typing.runtime_checkable
+else:
+    def runtime_checkable(cls):
+        """Mark a protocol class as a runtime protocol, so that it
+        can be used with isinstance() and issubclass(). Raise TypeError
+        if applied to a non-protocol class.
+
+        This allows a simple-minded structural check very similar to the
+        one-offs in collections.abc such as Hashable.
+        """
+        if not (
+            (isinstance(cls, _ProtocolMeta) or issubclass(cls, typing.Generic))
+            and getattr(cls, "_is_protocol", False)
+        ):
+            raise TypeError('@runtime_checkable can be only applied to protocol classes,'
+                            f' got {cls!r}')
+        cls._is_runtime_protocol = True
+        return cls
+
+
+# Exists for backwards compatibility.
+runtime = runtime_checkable
+
+
+# Our version of runtime-checkable protocols is faster on Python 3.7-3.11
+if sys.version_info >= (3, 12):
+    SupportsInt = typing.SupportsInt
+    SupportsFloat = typing.SupportsFloat
+    SupportsComplex = typing.SupportsComplex
+    SupportsBytes = typing.SupportsBytes
+    SupportsIndex = typing.SupportsIndex
+    SupportsAbs = typing.SupportsAbs
+    SupportsRound = typing.SupportsRound
+else:
+    @runtime_checkable
+    class SupportsInt(Protocol):
+        """An ABC with one abstract method __int__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __int__(self) -> int:
+            pass
+
+    @runtime_checkable
+    class SupportsFloat(Protocol):
+        """An ABC with one abstract method __float__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __float__(self) -> float:
+            pass
+
+    @runtime_checkable
+    class SupportsComplex(Protocol):
+        """An ABC with one abstract method __complex__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __complex__(self) -> complex:
+            pass
+
+    @runtime_checkable
+    class SupportsBytes(Protocol):
+        """An ABC with one abstract method __bytes__."""
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __bytes__(self) -> bytes:
+            pass
+
+    @runtime_checkable
+    class SupportsIndex(Protocol):
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __index__(self) -> int:
+            pass
+
+    @runtime_checkable
+    class SupportsAbs(Protocol[T_co]):
+        """
+        An ABC with one abstract method __abs__ that is covariant in its return type.
+        """
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __abs__(self) -> T_co:
+            pass
+
+    @runtime_checkable
+    class SupportsRound(Protocol[T_co]):
+        """
+        An ABC with one abstract method __round__ that is covariant in its return type.
+        """
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __round__(self, ndigits: int = 0) -> T_co:
+            pass
+
+
+def _ensure_subclassable(mro_entries):
+    def inner(func):
+        if sys.implementation.name == "pypy" and sys.version_info < (3, 9):
+            cls_dict = {
+                "__call__": staticmethod(func),
+                "__mro_entries__": staticmethod(mro_entries)
+            }
+            t = type(func.__name__, (), cls_dict)
+            return functools.update_wrapper(t(), func)
+        else:
+            func.__mro_entries__ = mro_entries
+            return func
+    return inner
+
+
+if sys.version_info >= (3, 13):
+    # The standard library TypedDict in Python 3.8 does not store runtime information
+    # about which (if any) keys are optional.  See https://bugs.python.org/issue38834
+    # The standard library TypedDict in Python 3.9.0/1 does not honour the "total"
+    # keyword with old-style TypedDict().  See https://bugs.python.org/issue42059
+    # The standard library TypedDict below Python 3.11 does not store runtime
+    # information about optional and required keys when using Required or NotRequired.
+    # Generic TypedDicts are also impossible using typing.TypedDict on Python <3.11.
+    # Aaaand on 3.12 we add __orig_bases__ to TypedDict
+    # to enable better runtime introspection.
+    # On 3.13 we deprecate some odd ways of creating TypedDicts.
+    TypedDict = typing.TypedDict
+    _TypedDictMeta = typing._TypedDictMeta
+    is_typeddict = typing.is_typeddict
+else:
+    # 3.10.0 and later
+    _TAKES_MODULE = "module" in inspect.signature(typing._type_check).parameters
+
+    if sys.version_info >= (3, 8):
+        _fake_name = "Protocol"
+    else:
+        _fake_name = "_Protocol"
+
+    class _TypedDictMeta(type):
+        def __new__(cls, name, bases, ns, total=True):
+            """Create new typed dict class object.
+
+            This method is called when TypedDict is subclassed,
+            or when TypedDict is instantiated. This way
+            TypedDict supports all three syntax forms described in its docstring.
+            Subclasses and instances of TypedDict return actual dictionaries.
+            """
+            for base in bases:
+                if type(base) is not _TypedDictMeta and base is not typing.Generic:
+                    raise TypeError('cannot inherit from both a TypedDict type '
+                                    'and a non-TypedDict base class')
+
+            if any(issubclass(b, typing.Generic) for b in bases):
+                generic_base = (typing.Generic,)
+            else:
+                generic_base = ()
+
+            # typing.py generally doesn't let you inherit from plain Generic, unless
+            # the name of the class happens to be "Protocol" (or "_Protocol" on 3.7).
+            tp_dict = type.__new__(_TypedDictMeta, _fake_name, (*generic_base, dict), ns)
+            tp_dict.__name__ = name
+            if tp_dict.__qualname__ == _fake_name:
+                tp_dict.__qualname__ = name
+
+            if not hasattr(tp_dict, '__orig_bases__'):
+                tp_dict.__orig_bases__ = bases
+
+            annotations = {}
+            own_annotations = ns.get('__annotations__', {})
+            msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type"
+            if _TAKES_MODULE:
+                own_annotations = {
+                    n: typing._type_check(tp, msg, module=tp_dict.__module__)
+                    for n, tp in own_annotations.items()
+                }
+            else:
+                own_annotations = {
+                    n: typing._type_check(tp, msg)
+                    for n, tp in own_annotations.items()
+                }
+            required_keys = set()
+            optional_keys = set()
+
+            for base in bases:
+                annotations.update(base.__dict__.get('__annotations__', {}))
+                required_keys.update(base.__dict__.get('__required_keys__', ()))
+                optional_keys.update(base.__dict__.get('__optional_keys__', ()))
+
+            annotations.update(own_annotations)
+            for annotation_key, annotation_type in own_annotations.items():
+                annotation_origin = get_origin(annotation_type)
+                if annotation_origin is Annotated:
+                    annotation_args = get_args(annotation_type)
+                    if annotation_args:
+                        annotation_type = annotation_args[0]
+                        annotation_origin = get_origin(annotation_type)
+
+                if annotation_origin is Required:
+                    required_keys.add(annotation_key)
+                elif annotation_origin is NotRequired:
+                    optional_keys.add(annotation_key)
+                elif total:
+                    required_keys.add(annotation_key)
+                else:
+                    optional_keys.add(annotation_key)
+
+            tp_dict.__annotations__ = annotations
+            tp_dict.__required_keys__ = frozenset(required_keys)
+            tp_dict.__optional_keys__ = frozenset(optional_keys)
+            if not hasattr(tp_dict, '__total__'):
+                tp_dict.__total__ = total
+            return tp_dict
+
+        __call__ = dict  # static method
+
+        def __subclasscheck__(cls, other):
+            # Typed dicts are only for static structural subtyping.
+            raise TypeError('TypedDict does not support instance and class checks')
+
+        __instancecheck__ = __subclasscheck__
+
+    _TypedDict = type.__new__(_TypedDictMeta, 'TypedDict', (), {})
+
+    @_ensure_subclassable(lambda bases: (_TypedDict,))
+    def TypedDict(__typename, __fields=_marker, *, total=True, **kwargs):
+        """A simple typed namespace. At runtime it is equivalent to a plain dict.
+
+        TypedDict creates a dictionary type such that a type checker will expect all
+        instances to have a certain set of keys, where each key is
+        associated with a value of a consistent type. This expectation
+        is not checked at runtime.
+
+        Usage::
+
+            class Point2D(TypedDict):
+                x: int
+                y: int
+                label: str
+
+            a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
+            b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check
+
+            assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
+
+        The type info can be accessed via the Point2D.__annotations__ dict, and
+        the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets.
+        TypedDict supports an additional equivalent form::
+
+            Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})
+
+        By default, all keys must be present in a TypedDict. It is possible
+        to override this by specifying totality::
+
+            class Point2D(TypedDict, total=False):
+                x: int
+                y: int
+
+        This means that a Point2D TypedDict can have any of the keys omitted. A type
+        checker is only expected to support a literal False or True as the value of
+        the total argument. True is the default, and makes all items defined in the
+        class body be required.
+
+        The Required and NotRequired special forms can also be used to mark
+        individual keys as being required or not required::
+
+            class Point2D(TypedDict):
+                x: int  # the "x" key must always be present (Required is the default)
+                y: NotRequired[int]  # the "y" key can be omitted
+
+        See PEP 655 for more details on Required and NotRequired.
+        """
+        if __fields is _marker or __fields is None:
+            if __fields is _marker:
+                deprecated_thing = "Failing to pass a value for the 'fields' parameter"
+            else:
+                deprecated_thing = "Passing `None` as the 'fields' parameter"
+
+            example = f"`{__typename} = TypedDict({__typename!r}, {{}})`"
+            deprecation_msg = (
+                f"{deprecated_thing} is deprecated and will be disallowed in "
+                "Python 3.15. To create a TypedDict class with 0 fields "
+                "using the functional syntax, pass an empty dictionary, e.g. "
+            ) + example + "."
+            warnings.warn(deprecation_msg, DeprecationWarning, stacklevel=2)
+            __fields = kwargs
+        elif kwargs:
+            raise TypeError("TypedDict takes either a dict or keyword arguments,"
+                            " but not both")
+        if kwargs:
+            warnings.warn(
+                "The kwargs-based syntax for TypedDict definitions is deprecated "
+                "in Python 3.11, will be removed in Python 3.13, and may not be "
+                "understood by third-party type checkers.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+
+        ns = {'__annotations__': dict(__fields)}
+        module = _caller()
+        if module is not None:
+            # Setting correct module is necessary to make typed dict classes pickleable.
+            ns['__module__'] = module
+
+        td = _TypedDictMeta(__typename, (), ns, total=total)
+        td.__orig_bases__ = (TypedDict,)
+        return td
+
+    if hasattr(typing, "_TypedDictMeta"):
+        _TYPEDDICT_TYPES = (typing._TypedDictMeta, _TypedDictMeta)
+    else:
+        _TYPEDDICT_TYPES = (_TypedDictMeta,)
+
+    def is_typeddict(tp):
+        """Check if an annotation is a TypedDict class
+
+        For example::
+            class Film(TypedDict):
+                title: str
+                year: int
+
+            is_typeddict(Film)  # => True
+            is_typeddict(Union[list, str])  # => False
+        """
+        # On 3.8, this would otherwise return True
+        if hasattr(typing, "TypedDict") and tp is typing.TypedDict:
+            return False
+        return isinstance(tp, _TYPEDDICT_TYPES)
+
+
+if hasattr(typing, "assert_type"):
+    assert_type = typing.assert_type
+
+else:
+    def assert_type(__val, __typ):
+        """Assert (to the type checker) that the value is of the given type.
+
+        When the type checker encounters a call to assert_type(), it
+        emits an error if the value is not of the specified type::
+
+            def greet(name: str) -> None:
+                assert_type(name, str)  # ok
+                assert_type(name, int)  # type checker error
+
+        At runtime this returns the first argument unchanged and otherwise
+        does nothing.
+        """
+        return __val
+
+
+if hasattr(typing, "Required"):
+    get_type_hints = typing.get_type_hints
+else:
+    # replaces _strip_annotations()
+    def _strip_extras(t):
+        """Strips Annotated, Required and NotRequired from a given type."""
+        if isinstance(t, _AnnotatedAlias):
+            return _strip_extras(t.__origin__)
+        if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired):
+            return _strip_extras(t.__args__[0])
+        if isinstance(t, typing._GenericAlias):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return t.copy_with(stripped_args)
+        if hasattr(_types, "GenericAlias") and isinstance(t, _types.GenericAlias):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return _types.GenericAlias(t.__origin__, stripped_args)
+        if hasattr(_types, "UnionType") and isinstance(t, _types.UnionType):
+            stripped_args = tuple(_strip_extras(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            return functools.reduce(operator.or_, stripped_args)
+
+        return t
+
+    def get_type_hints(obj, globalns=None, localns=None, include_extras=False):
+        """Return type hints for an object.
+
+        This is often the same as obj.__annotations__, but it handles
+        forward references encoded as string literals, adds Optional[t] if a
+        default value equal to None is set and recursively replaces all
+        'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T'
+        (unless 'include_extras=True').
+
+        The argument may be a module, class, method, or function. The annotations
+        are returned as a dictionary. For classes, annotations include also
+        inherited members.
+
+        TypeError is raised if the argument is not of a type that can contain
+        annotations, and an empty dictionary is returned if no annotations are
+        present.
+
+        BEWARE -- the behavior of globalns and localns is counterintuitive
+        (unless you are familiar with how eval() and exec() work).  The
+        search order is locals first, then globals.
+
+        - If no dict arguments are passed, an attempt is made to use the
+          globals from obj (or the respective module's globals for classes),
+          and these are also used as the locals.  If the object does not appear
+          to have globals, an empty dictionary is used.
+
+        - If one dict argument is passed, it is used for both globals and
+          locals.
+
+        - If two dict arguments are passed, they specify globals and
+          locals, respectively.
+        """
+        if hasattr(typing, "Annotated"):
+            hint = typing.get_type_hints(
+                obj, globalns=globalns, localns=localns, include_extras=True
+            )
+        else:
+            hint = typing.get_type_hints(obj, globalns=globalns, localns=localns)
+        if include_extras:
+            return hint
+        return {k: _strip_extras(t) for k, t in hint.items()}
+
+
+# Python 3.9+ has PEP 593 (Annotated)
+if hasattr(typing, 'Annotated'):
+    Annotated = typing.Annotated
+    # Not exported and not a public API, but needed for get_origin() and get_args()
+    # to work.
+    _AnnotatedAlias = typing._AnnotatedAlias
+# 3.7-3.8
+else:
+    class _AnnotatedAlias(typing._GenericAlias, _root=True):
+        """Runtime representation of an annotated type.
+
+        At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't'
+        with extra annotations. The alias behaves like a normal typing alias,
+        instantiating is the same as instantiating the underlying type, binding
+        it to types is also the same.
+        """
+        def __init__(self, origin, metadata):
+            if isinstance(origin, _AnnotatedAlias):
+                metadata = origin.__metadata__ + metadata
+                origin = origin.__origin__
+            super().__init__(origin, origin)
+            self.__metadata__ = metadata
+
+        def copy_with(self, params):
+            assert len(params) == 1
+            new_type = params[0]
+            return _AnnotatedAlias(new_type, self.__metadata__)
+
+        def __repr__(self):
+            return (f"typing_extensions.Annotated[{typing._type_repr(self.__origin__)}, "
+                    f"{', '.join(repr(a) for a in self.__metadata__)}]")
+
+        def __reduce__(self):
+            return operator.getitem, (
+                Annotated, (self.__origin__,) + self.__metadata__
+            )
+
+        def __eq__(self, other):
+            if not isinstance(other, _AnnotatedAlias):
+                return NotImplemented
+            if self.__origin__ != other.__origin__:
+                return False
+            return self.__metadata__ == other.__metadata__
+
+        def __hash__(self):
+            return hash((self.__origin__, self.__metadata__))
+
+    class Annotated:
+        """Add context specific metadata to a type.
+
+        Example: Annotated[int, runtime_check.Unsigned] indicates to the
+        hypothetical runtime_check module that this type is an unsigned int.
+        Every other consumer of this type can ignore this metadata and treat
+        this type as int.
+
+        The first argument to Annotated must be a valid type (and will be in
+        the __origin__ field), the remaining arguments are kept as a tuple in
+        the __extra__ field.
+
+        Details:
+
+        - It's an error to call `Annotated` with less than two arguments.
+        - Nested Annotated are flattened::
+
+            Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
+
+        - Instantiating an annotated type is equivalent to instantiating the
+        underlying type::
+
+            Annotated[C, Ann1](5) == C(5)
+
+        - Annotated can be used as a generic type alias::
+
+            Optimized = Annotated[T, runtime.Optimize()]
+            Optimized[int] == Annotated[int, runtime.Optimize()]
+
+            OptimizedList = Annotated[List[T], runtime.Optimize()]
+            OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
+        """
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwargs):
+            raise TypeError("Type Annotated cannot be instantiated.")
+
+        @typing._tp_cache
+        def __class_getitem__(cls, params):
+            if not isinstance(params, tuple) or len(params) < 2:
+                raise TypeError("Annotated[...] should be used "
+                                "with at least two arguments (a type and an "
+                                "annotation).")
+            allowed_special_forms = (ClassVar, Final)
+            if get_origin(params[0]) in allowed_special_forms:
+                origin = params[0]
+            else:
+                msg = "Annotated[t, ...]: t must be a type."
+                origin = typing._type_check(params[0], msg)
+            metadata = tuple(params[1:])
+            return _AnnotatedAlias(origin, metadata)
+
+        def __init_subclass__(cls, *args, **kwargs):
+            raise TypeError(
+                f"Cannot subclass {cls.__module__}.Annotated"
+            )
+
+# Python 3.8 has get_origin() and get_args() but those implementations aren't
+# Annotated-aware, so we can't use those. Python 3.9's versions don't support
+# ParamSpecArgs and ParamSpecKwargs, so only Python 3.10's versions will do.
+if sys.version_info[:2] >= (3, 10):
+    get_origin = typing.get_origin
+    get_args = typing.get_args
+# 3.7-3.9
+else:
+    try:
+        # 3.9+
+        from typing import _BaseGenericAlias
+    except ImportError:
+        _BaseGenericAlias = typing._GenericAlias
+    try:
+        # 3.9+
+        from typing import GenericAlias as _typing_GenericAlias
+    except ImportError:
+        _typing_GenericAlias = typing._GenericAlias
+
+    def get_origin(tp):
+        """Get the unsubscripted version of a type.
+
+        This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar
+        and Annotated. Return None for unsupported types. Examples::
+
+            get_origin(Literal[42]) is Literal
+            get_origin(int) is None
+            get_origin(ClassVar[int]) is ClassVar
+            get_origin(Generic) is Generic
+            get_origin(Generic[T]) is Generic
+            get_origin(Union[T, int]) is Union
+            get_origin(List[Tuple[T, T]][int]) == list
+            get_origin(P.args) is P
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return Annotated
+        if isinstance(tp, (typing._GenericAlias, _typing_GenericAlias, _BaseGenericAlias,
+                           ParamSpecArgs, ParamSpecKwargs)):
+            return tp.__origin__
+        if tp is typing.Generic:
+            return typing.Generic
+        return None
+
+    def get_args(tp):
+        """Get type arguments with all substitutions performed.
+
+        For unions, basic simplifications used by Union constructor are performed.
+        Examples::
+            get_args(Dict[str, int]) == (str, int)
+            get_args(int) == ()
+            get_args(Union[int, Union[T, int], str][int]) == (int, str)
+            get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
+            get_args(Callable[[], T][int]) == ([], int)
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return (tp.__origin__,) + tp.__metadata__
+        if isinstance(tp, (typing._GenericAlias, _typing_GenericAlias)):
+            if getattr(tp, "_special", False):
+                return ()
+            res = tp.__args__
+            if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis:
+                res = (list(res[:-1]), res[-1])
+            return res
+        return ()
+
+
+# 3.10+
+if hasattr(typing, 'TypeAlias'):
+    TypeAlias = typing.TypeAlias
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def TypeAlias(self, parameters):
+        """Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example above.
+        """
+        raise TypeError(f"{self} is not subscriptable")
+# 3.7-3.8
+else:
+    TypeAlias = _ExtensionsSpecialForm(
+        'TypeAlias',
+        doc="""Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example
+        above."""
+    )
+
+
+def _set_default(type_param, default):
+    if isinstance(default, (tuple, list)):
+        type_param.__default__ = tuple((typing._type_check(d, "Default must be a type")
+                                        for d in default))
+    elif default != _marker:
+        type_param.__default__ = typing._type_check(default, "Default must be a type")
+    else:
+        type_param.__default__ = None
+
+
+def _set_module(typevarlike):
+    # for pickling:
+    def_mod = _caller(depth=3)
+    if def_mod != 'typing_extensions':
+        typevarlike.__module__ = def_mod
+
+
+class _DefaultMixin:
+    """Mixin for TypeVarLike defaults."""
+
+    __slots__ = ()
+    __init__ = _set_default
+
+
+# Classes using this metaclass must provide a _backported_typevarlike ClassVar
+class _TypeVarLikeMeta(type):
+    def __instancecheck__(cls, __instance: Any) -> bool:
+        return isinstance(__instance, cls._backported_typevarlike)
+
+
+# Add default and infer_variance parameters from PEP 696 and 695
+class TypeVar(metaclass=_TypeVarLikeMeta):
+    """Type variable."""
+
+    _backported_typevarlike = typing.TypeVar
+
+    def __new__(cls, name, *constraints, bound=None,
+                covariant=False, contravariant=False,
+                default=_marker, infer_variance=False):
+        if hasattr(typing, "TypeAliasType"):
+            # PEP 695 implemented, can pass infer_variance to typing.TypeVar
+            typevar = typing.TypeVar(name, *constraints, bound=bound,
+                                     covariant=covariant, contravariant=contravariant,
+                                     infer_variance=infer_variance)
+        else:
+            typevar = typing.TypeVar(name, *constraints, bound=bound,
+                                     covariant=covariant, contravariant=contravariant)
+            if infer_variance and (covariant or contravariant):
+                raise ValueError("Variance cannot be specified with infer_variance.")
+            typevar.__infer_variance__ = infer_variance
+        _set_default(typevar, default)
+        _set_module(typevar)
+        return typevar
+
+    def __init_subclass__(cls) -> None:
+        raise TypeError(f"type '{__name__}.TypeVar' is not an acceptable base type")
+
+
+# Python 3.10+ has PEP 612
+if hasattr(typing, 'ParamSpecArgs'):
+    ParamSpecArgs = typing.ParamSpecArgs
+    ParamSpecKwargs = typing.ParamSpecKwargs
+# 3.7-3.9
+else:
+    class _Immutable:
+        """Mixin to indicate that object should not be copied."""
+        __slots__ = ()
+
+        def __copy__(self):
+            return self
+
+        def __deepcopy__(self, memo):
+            return self
+
+    class ParamSpecArgs(_Immutable):
+        """The args for a ParamSpec object.
+
+        Given a ParamSpec object P, P.args is an instance of ParamSpecArgs.
+
+        ParamSpecArgs objects have a reference back to their ParamSpec:
+
+        P.args.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return f"{self.__origin__.__name__}.args"
+
+        def __eq__(self, other):
+            if not isinstance(other, ParamSpecArgs):
+                return NotImplemented
+            return self.__origin__ == other.__origin__
+
+    class ParamSpecKwargs(_Immutable):
+        """The kwargs for a ParamSpec object.
+
+        Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs.
+
+        ParamSpecKwargs objects have a reference back to their ParamSpec:
+
+        P.kwargs.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return f"{self.__origin__.__name__}.kwargs"
+
+        def __eq__(self, other):
+            if not isinstance(other, ParamSpecKwargs):
+                return NotImplemented
+            return self.__origin__ == other.__origin__
+
+# 3.10+
+if hasattr(typing, 'ParamSpec'):
+
+    # Add default parameter - PEP 696
+    class ParamSpec(metaclass=_TypeVarLikeMeta):
+        """Parameter specification."""
+
+        _backported_typevarlike = typing.ParamSpec
+
+        def __new__(cls, name, *, bound=None,
+                    covariant=False, contravariant=False,
+                    infer_variance=False, default=_marker):
+            if hasattr(typing, "TypeAliasType"):
+                # PEP 695 implemented, can pass infer_variance to typing.TypeVar
+                paramspec = typing.ParamSpec(name, bound=bound,
+                                             covariant=covariant,
+                                             contravariant=contravariant,
+                                             infer_variance=infer_variance)
+            else:
+                paramspec = typing.ParamSpec(name, bound=bound,
+                                             covariant=covariant,
+                                             contravariant=contravariant)
+                paramspec.__infer_variance__ = infer_variance
+
+            _set_default(paramspec, default)
+            _set_module(paramspec)
+            return paramspec
+
+        def __init_subclass__(cls) -> None:
+            raise TypeError(f"type '{__name__}.ParamSpec' is not an acceptable base type")
+
+# 3.7-3.9
+else:
+
+    # Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+    class ParamSpec(list, _DefaultMixin):
+        """Parameter specification variable.
+
+        Usage::
+
+           P = ParamSpec('P')
+
+        Parameter specification variables exist primarily for the benefit of static
+        type checkers.  They are used to forward the parameter types of one
+        callable to another callable, a pattern commonly found in higher order
+        functions and decorators.  They are only valid when used in ``Concatenate``,
+        or s the first argument to ``Callable``. In Python 3.10 and higher,
+        they are also supported in user-defined Generics at runtime.
+        See class Generic for more information on generic types.  An
+        example for annotating a decorator::
+
+           T = TypeVar('T')
+           P = ParamSpec('P')
+
+           def add_logging(f: Callable[P, T]) -> Callable[P, T]:
+               '''A type-safe decorator to add logging to a function.'''
+               def inner(*args: P.args, **kwargs: P.kwargs) -> T:
+                   logging.info(f'{f.__name__} was called')
+                   return f(*args, **kwargs)
+               return inner
+
+           @add_logging
+           def add_two(x: float, y: float) -> float:
+               '''Add two numbers together.'''
+               return x + y
+
+        Parameter specification variables defined with covariant=True or
+        contravariant=True can be used to declare covariant or contravariant
+        generic types.  These keyword arguments are valid, but their actual semantics
+        are yet to be decided.  See PEP 612 for details.
+
+        Parameter specification variables can be introspected. e.g.:
+
+           P.__name__ == 'T'
+           P.__bound__ == None
+           P.__covariant__ == False
+           P.__contravariant__ == False
+
+        Note that only parameter specification variables defined in global scope can
+        be pickled.
+        """
+
+        # Trick Generic __parameters__.
+        __class__ = typing.TypeVar
+
+        @property
+        def args(self):
+            return ParamSpecArgs(self)
+
+        @property
+        def kwargs(self):
+            return ParamSpecKwargs(self)
+
+        def __init__(self, name, *, bound=None, covariant=False, contravariant=False,
+                     infer_variance=False, default=_marker):
+            super().__init__([self])
+            self.__name__ = name
+            self.__covariant__ = bool(covariant)
+            self.__contravariant__ = bool(contravariant)
+            self.__infer_variance__ = bool(infer_variance)
+            if bound:
+                self.__bound__ = typing._type_check(bound, 'Bound must be a type.')
+            else:
+                self.__bound__ = None
+            _DefaultMixin.__init__(self, default)
+
+            # for pickling:
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+        def __repr__(self):
+            if self.__infer_variance__:
+                prefix = ''
+            elif self.__covariant__:
+                prefix = '+'
+            elif self.__contravariant__:
+                prefix = '-'
+            else:
+                prefix = '~'
+            return prefix + self.__name__
+
+        def __hash__(self):
+            return object.__hash__(self)
+
+        def __eq__(self, other):
+            return self is other
+
+        def __reduce__(self):
+            return self.__name__
+
+        # Hack to get typing._type_check to pass.
+        def __call__(self, *args, **kwargs):
+            pass
+
+
+# 3.7-3.9
+if not hasattr(typing, 'Concatenate'):
+    # Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+    class _ConcatenateGenericAlias(list):
+
+        # Trick Generic into looking into this for __parameters__.
+        __class__ = typing._GenericAlias
+
+        # Flag in 3.8.
+        _special = False
+
+        def __init__(self, origin, args):
+            super().__init__(args)
+            self.__origin__ = origin
+            self.__args__ = args
+
+        def __repr__(self):
+            _type_repr = typing._type_repr
+            return (f'{_type_repr(self.__origin__)}'
+                    f'[{", ".join(_type_repr(arg) for arg in self.__args__)}]')
+
+        def __hash__(self):
+            return hash((self.__origin__, self.__args__))
+
+        # Hack to get typing._type_check to pass in Generic.
+        def __call__(self, *args, **kwargs):
+            pass
+
+        @property
+        def __parameters__(self):
+            return tuple(
+                tp for tp in self.__args__ if isinstance(tp, (typing.TypeVar, ParamSpec))
+            )
+
+
+# 3.7-3.9
+@typing._tp_cache
+def _concatenate_getitem(self, parameters):
+    if parameters == ():
+        raise TypeError("Cannot take a Concatenate of no types.")
+    if not isinstance(parameters, tuple):
+        parameters = (parameters,)
+    if not isinstance(parameters[-1], ParamSpec):
+        raise TypeError("The last parameter to Concatenate should be a "
+                        "ParamSpec variable.")
+    msg = "Concatenate[arg, ...]: each arg must be a type."
+    parameters = tuple(typing._type_check(p, msg) for p in parameters)
+    return _ConcatenateGenericAlias(self, parameters)
+
+
+# 3.10+
+if hasattr(typing, 'Concatenate'):
+    Concatenate = typing.Concatenate
+    _ConcatenateGenericAlias = typing._ConcatenateGenericAlias  # noqa: F811
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def Concatenate(self, parameters):
+        """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """
+        return _concatenate_getitem(self, parameters)
+# 3.7-8
+else:
+    class _ConcatenateForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            return _concatenate_getitem(self, parameters)
+
+    Concatenate = _ConcatenateForm(
+        'Concatenate',
+        doc="""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """)
+
+# 3.10+
+if hasattr(typing, 'TypeGuard'):
+    TypeGuard = typing.TypeGuard
+# 3.9
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def TypeGuard(self, parameters):
+        """Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """
+        item = typing._type_check(parameters, f'{self} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+# 3.7-3.8
+else:
+    class _TypeGuardForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type')
+            return typing._GenericAlias(self, (item,))
+
+    TypeGuard = _TypeGuardForm(
+        'TypeGuard',
+        doc="""Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """)
+
+
+# Vendored from cpython typing._SpecialFrom
+class _SpecialForm(typing._Final, _root=True):
+    __slots__ = ('_name', '__doc__', '_getitem')
+
+    def __init__(self, getitem):
+        self._getitem = getitem
+        self._name = getitem.__name__
+        self.__doc__ = getitem.__doc__
+
+    def __getattr__(self, item):
+        if item in {'__name__', '__qualname__'}:
+            return self._name
+
+        raise AttributeError(item)
+
+    def __mro_entries__(self, bases):
+        raise TypeError(f"Cannot subclass {self!r}")
+
+    def __repr__(self):
+        return f'typing_extensions.{self._name}'
+
+    def __reduce__(self):
+        return self._name
+
+    def __call__(self, *args, **kwds):
+        raise TypeError(f"Cannot instantiate {self!r}")
+
+    def __or__(self, other):
+        return typing.Union[self, other]
+
+    def __ror__(self, other):
+        return typing.Union[other, self]
+
+    def __instancecheck__(self, obj):
+        raise TypeError(f"{self} cannot be used with isinstance()")
+
+    def __subclasscheck__(self, cls):
+        raise TypeError(f"{self} cannot be used with issubclass()")
+
+    @typing._tp_cache
+    def __getitem__(self, parameters):
+        return self._getitem(self, parameters)
+
+
+if hasattr(typing, "LiteralString"):
+    LiteralString = typing.LiteralString
+else:
+    @_SpecialForm
+    def LiteralString(self, params):
+        """Represents an arbitrary literal string.
+
+        Example::
+
+          from metaflow._vendor.v3_7.typing_extensions import LiteralString
+
+          def query(sql: LiteralString) -> ...:
+              ...
+
+          query("SELECT * FROM table")  # ok
+          query(f"SELECT * FROM {input()}")  # not ok
+
+        See PEP 675 for details.
+
+        """
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, "Self"):
+    Self = typing.Self
+else:
+    @_SpecialForm
+    def Self(self, params):
+        """Used to spell the type of "self" in classes.
+
+        Example::
+
+          from typing import Self
+
+          class ReturnsSelf:
+              def parse(self, data: bytes) -> Self:
+                  ...
+                  return self
+
+        """
+
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, "Never"):
+    Never = typing.Never
+else:
+    @_SpecialForm
+    def Never(self, params):
+        """The bottom type, a type that has no members.
+
+        This can be used to define a function that should never be
+        called, or a function that never returns::
+
+            from metaflow._vendor.v3_7.typing_extensions import Never
+
+            def never_call_me(arg: Never) -> None:
+                pass
+
+            def int_or_str(arg: int | str) -> None:
+                never_call_me(arg)  # type checker error
+                match arg:
+                    case int():
+                        print("It's an int")
+                    case str():
+                        print("It's a str")
+                    case _:
+                        never_call_me(arg)  # ok, arg is of type Never
+
+        """
+
+        raise TypeError(f"{self} is not subscriptable")
+
+
+if hasattr(typing, 'Required'):
+    Required = typing.Required
+    NotRequired = typing.NotRequired
+elif sys.version_info[:2] >= (3, 9):
+    @_ExtensionsSpecialForm
+    def Required(self, parameters):
+        """A special typing construct to mark a key of a total=False TypedDict
+        as required. For example:
+
+            class Movie(TypedDict, total=False):
+                title: Required[str]
+                year: int
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+
+        There is no runtime checking that a required key is actually provided
+        when instantiating a related TypedDict.
+        """
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+
+    @_ExtensionsSpecialForm
+    def NotRequired(self, parameters):
+        """A special typing construct to mark a key of a TypedDict as
+        potentially missing. For example:
+
+            class Movie(TypedDict):
+                title: str
+                year: NotRequired[int]
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+        """
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return typing._GenericAlias(self, (item,))
+
+else:
+    class _RequiredForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return typing._GenericAlias(self, (item,))
+
+    Required = _RequiredForm(
+        'Required',
+        doc="""A special typing construct to mark a key of a total=False TypedDict
+        as required. For example:
+
+            class Movie(TypedDict, total=False):
+                title: Required[str]
+                year: int
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+
+        There is no runtime checking that a required key is actually provided
+        when instantiating a related TypedDict.
+        """)
+    NotRequired = _RequiredForm(
+        'NotRequired',
+        doc="""A special typing construct to mark a key of a TypedDict as
+        potentially missing. For example:
+
+            class Movie(TypedDict):
+                title: str
+                year: NotRequired[int]
+
+            m = Movie(
+                title='The Matrix',  # typechecker error if key is omitted
+                year=1999,
+            )
+        """)
+
+
+_UNPACK_DOC = """\
+Type unpack operator.
+
+The type unpack operator takes the child types from some container type,
+such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For
+example:
+
+  # For some generic class `Foo`:
+  Foo[Unpack[tuple[int, str]]]  # Equivalent to Foo[int, str]
+
+  Ts = TypeVarTuple('Ts')
+  # Specifies that `Bar` is generic in an arbitrary number of types.
+  # (Think of `Ts` as a tuple of an arbitrary number of individual
+  #  `TypeVar`s, which the `Unpack` is 'pulling out' directly into the
+  #  `Generic[]`.)
+  class Bar(Generic[Unpack[Ts]]): ...
+  Bar[int]  # Valid
+  Bar[int, str]  # Also valid
+
+From Python 3.11, this can also be done using the `*` operator:
+
+    Foo[*tuple[int, str]]
+    class Bar(Generic[*Ts]): ...
+
+The operator can also be used along with a `TypedDict` to annotate
+`**kwargs` in a function signature. For instance:
+
+  class Movie(TypedDict):
+    name: str
+    year: int
+
+  # This function expects two keyword arguments - *name* of type `str` and
+  # *year* of type `int`.
+  def foo(**kwargs: Unpack[Movie]): ...
+
+Note that there is only some runtime checking of this operator. Not
+everything the runtime allows may be accepted by static type checkers.
+
+For more information, see PEP 646 and PEP 692.
+"""
+
+
+if sys.version_info >= (3, 12):  # PEP 692 changed the repr of Unpack[]
+    Unpack = typing.Unpack
+
+    def _is_unpack(obj):
+        return get_origin(obj) is Unpack
+
+elif sys.version_info[:2] >= (3, 9):
+    class _UnpackSpecialForm(_ExtensionsSpecialForm, _root=True):
+        def __init__(self, getitem):
+            super().__init__(getitem)
+            self.__doc__ = _UNPACK_DOC
+
+    class _UnpackAlias(typing._GenericAlias, _root=True):
+        __class__ = typing.TypeVar
+
+    @_UnpackSpecialForm
+    def Unpack(self, parameters):
+        item = typing._type_check(parameters, f'{self._name} accepts only a single type.')
+        return _UnpackAlias(self, (item,))
+
+    def _is_unpack(obj):
+        return isinstance(obj, _UnpackAlias)
+
+else:
+    class _UnpackAlias(typing._GenericAlias, _root=True):
+        __class__ = typing.TypeVar
+
+    class _UnpackForm(_ExtensionsSpecialForm, _root=True):
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      f'{self._name} accepts only a single type.')
+            return _UnpackAlias(self, (item,))
+
+    Unpack = _UnpackForm('Unpack', doc=_UNPACK_DOC)
+
+    def _is_unpack(obj):
+        return isinstance(obj, _UnpackAlias)
+
+
+if hasattr(typing, "TypeVarTuple"):  # 3.11+
+
+    # Add default parameter - PEP 696
+    class TypeVarTuple(metaclass=_TypeVarLikeMeta):
+        """Type variable tuple."""
+
+        _backported_typevarlike = typing.TypeVarTuple
+
+        def __new__(cls, name, *, default=_marker):
+            tvt = typing.TypeVarTuple(name)
+            _set_default(tvt, default)
+            _set_module(tvt)
+            return tvt
+
+        def __init_subclass__(self, *args, **kwds):
+            raise TypeError("Cannot subclass special typing classes")
+
+else:
+    class TypeVarTuple(_DefaultMixin):
+        """Type variable tuple.
+
+        Usage::
+
+            Ts = TypeVarTuple('Ts')
+
+        In the same way that a normal type variable is a stand-in for a single
+        type such as ``int``, a type variable *tuple* is a stand-in for a *tuple*
+        type such as ``Tuple[int, str]``.
+
+        Type variable tuples can be used in ``Generic`` declarations.
+        Consider the following example::
+
+            class Array(Generic[*Ts]): ...
+
+        The ``Ts`` type variable tuple here behaves like ``tuple[T1, T2]``,
+        where ``T1`` and ``T2`` are type variables. To use these type variables
+        as type parameters of ``Array``, we must *unpack* the type variable tuple using
+        the star operator: ``*Ts``. The signature of ``Array`` then behaves
+        as if we had simply written ``class Array(Generic[T1, T2]): ...``.
+        In contrast to ``Generic[T1, T2]``, however, ``Generic[*Shape]`` allows
+        us to parameterise the class with an *arbitrary* number of type parameters.
+
+        Type variable tuples can be used anywhere a normal ``TypeVar`` can.
+        This includes class definitions, as shown above, as well as function
+        signatures and variable annotations::
+
+            class Array(Generic[*Ts]):
+
+                def __init__(self, shape: Tuple[*Ts]):
+                    self._shape: Tuple[*Ts] = shape
+
+                def get_shape(self) -> Tuple[*Ts]:
+                    return self._shape
+
+            shape = (Height(480), Width(640))
+            x: Array[Height, Width] = Array(shape)
+            y = abs(x)  # Inferred type is Array[Height, Width]
+            z = x + x   #        ...    is Array[Height, Width]
+            x.get_shape()  #     ...    is tuple[Height, Width]
+
+        """
+
+        # Trick Generic __parameters__.
+        __class__ = typing.TypeVar
+
+        def __iter__(self):
+            yield self.__unpacked__
+
+        def __init__(self, name, *, default=_marker):
+            self.__name__ = name
+            _DefaultMixin.__init__(self, default)
+
+            # for pickling:
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+            self.__unpacked__ = Unpack[self]
+
+        def __repr__(self):
+            return self.__name__
+
+        def __hash__(self):
+            return object.__hash__(self)
+
+        def __eq__(self, other):
+            return self is other
+
+        def __reduce__(self):
+            return self.__name__
+
+        def __init_subclass__(self, *args, **kwds):
+            if '_root' not in kwds:
+                raise TypeError("Cannot subclass special typing classes")
+
+
+if hasattr(typing, "reveal_type"):
+    reveal_type = typing.reveal_type
+else:
+    def reveal_type(__obj: T) -> T:
+        """Reveal the inferred type of a variable.
+
+        When a static type checker encounters a call to ``reveal_type()``,
+        it will emit the inferred type of the argument::
+
+            x: int = 1
+            reveal_type(x)
+
+        Running a static type checker (e.g., ``mypy``) on this example
+        will produce output similar to 'Revealed type is "builtins.int"'.
+
+        At runtime, the function prints the runtime type of the
+        argument and returns it unchanged.
+
+        """
+        print(f"Runtime type is {type(__obj).__name__!r}", file=sys.stderr)
+        return __obj
+
+
+if hasattr(typing, "assert_never"):
+    assert_never = typing.assert_never
+else:
+    def assert_never(__arg: Never) -> Never:
+        """Assert to the type checker that a line of code is unreachable.
+
+        Example::
+
+            def int_or_str(arg: int | str) -> None:
+                match arg:
+                    case int():
+                        print("It's an int")
+                    case str():
+                        print("It's a str")
+                    case _:
+                        assert_never(arg)
+
+        If a type checker finds that a call to assert_never() is
+        reachable, it will emit an error.
+
+        At runtime, this throws an exception when called.
+
+        """
+        raise AssertionError("Expected code to be unreachable")
+
+
+if sys.version_info >= (3, 12):
+    # dataclass_transform exists in 3.11 but lacks the frozen_default parameter
+    dataclass_transform = typing.dataclass_transform
+else:
+    def dataclass_transform(
+        *,
+        eq_default: bool = True,
+        order_default: bool = False,
+        kw_only_default: bool = False,
+        frozen_default: bool = False,
+        field_specifiers: typing.Tuple[
+            typing.Union[typing.Type[typing.Any], typing.Callable[..., typing.Any]],
+            ...
+        ] = (),
+        **kwargs: typing.Any,
+    ) -> typing.Callable[[T], T]:
+        """Decorator that marks a function, class, or metaclass as providing
+        dataclass-like behavior.
+
+        Example:
+
+            from metaflow._vendor.v3_7.typing_extensions import dataclass_transform
+
+            _T = TypeVar("_T")
+
+            # Used on a decorator function
+            @dataclass_transform()
+            def create_model(cls: type[_T]) -> type[_T]:
+                ...
+                return cls
+
+            @create_model
+            class CustomerModel:
+                id: int
+                name: str
+
+            # Used on a base class
+            @dataclass_transform()
+            class ModelBase: ...
+
+            class CustomerModel(ModelBase):
+                id: int
+                name: str
+
+            # Used on a metaclass
+            @dataclass_transform()
+            class ModelMeta(type): ...
+
+            class ModelBase(metaclass=ModelMeta): ...
+
+            class CustomerModel(ModelBase):
+                id: int
+                name: str
+
+        Each of the ``CustomerModel`` classes defined in this example will now
+        behave similarly to a dataclass created with the ``@dataclasses.dataclass``
+        decorator. For example, the type checker will synthesize an ``__init__``
+        method.
+
+        The arguments to this decorator can be used to customize this behavior:
+        - ``eq_default`` indicates whether the ``eq`` parameter is assumed to be
+          True or False if it is omitted by the caller.
+        - ``order_default`` indicates whether the ``order`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``kw_only_default`` indicates whether the ``kw_only`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``frozen_default`` indicates whether the ``frozen`` parameter is
+          assumed to be True or False if it is omitted by the caller.
+        - ``field_specifiers`` specifies a static list of supported classes
+          or functions that describe fields, similar to ``dataclasses.field()``.
+
+        At runtime, this decorator records its arguments in the
+        ``__dataclass_transform__`` attribute on the decorated object.
+
+        See PEP 681 for details.
+
+        """
+        def decorator(cls_or_fn):
+            cls_or_fn.__dataclass_transform__ = {
+                "eq_default": eq_default,
+                "order_default": order_default,
+                "kw_only_default": kw_only_default,
+                "frozen_default": frozen_default,
+                "field_specifiers": field_specifiers,
+                "kwargs": kwargs,
+            }
+            return cls_or_fn
+        return decorator
+
+
+if hasattr(typing, "override"):
+    override = typing.override
+else:
+    _F = typing.TypeVar("_F", bound=typing.Callable[..., typing.Any])
+
+    def override(__arg: _F) -> _F:
+        """Indicate that a method is intended to override a method in a base class.
+
+        Usage:
+
+            class Base:
+                def method(self) -> None: ...
+                    pass
+
+            class Child(Base):
+                @override
+                def method(self) -> None:
+                    super().method()
+
+        When this decorator is applied to a method, the type checker will
+        validate that it overrides a method with the same name on a base class.
+        This helps prevent bugs that may occur when a base class is changed
+        without an equivalent change to a child class.
+
+        There is no runtime checking of these properties. The decorator
+        sets the ``__override__`` attribute to ``True`` on the decorated object
+        to allow runtime introspection.
+
+        See PEP 698 for details.
+
+        """
+        try:
+            __arg.__override__ = True
+        except (AttributeError, TypeError):
+            # Skip the attribute silently if it is not writable.
+            # AttributeError happens if the object has __slots__ or a
+            # read-only property, TypeError if it's a builtin class.
+            pass
+        return __arg
+
+
+if hasattr(typing, "deprecated"):
+    deprecated = typing.deprecated
+else:
+    _T = typing.TypeVar("_T")
+
+    def deprecated(
+        __msg: str,
+        *,
+        category: typing.Optional[typing.Type[Warning]] = DeprecationWarning,
+        stacklevel: int = 1,
+    ) -> typing.Callable[[_T], _T]:
+        """Indicate that a class, function or overload is deprecated.
+
+        Usage:
+
+            @deprecated("Use B instead")
+            class A:
+                pass
+
+            @deprecated("Use g instead")
+            def f():
+                pass
+
+            @overload
+            @deprecated("int support is deprecated")
+            def g(x: int) -> int: ...
+            @overload
+            def g(x: str) -> int: ...
+
+        When this decorator is applied to an object, the type checker
+        will generate a diagnostic on usage of the deprecated object.
+
+        The warning specified by ``category`` will be emitted on use
+        of deprecated objects. For functions, that happens on calls;
+        for classes, on instantiation. If the ``category`` is ``None``,
+        no warning is emitted. The ``stacklevel`` determines where the
+        warning is emitted. If it is ``1`` (the default), the warning
+        is emitted at the direct caller of the deprecated object; if it
+        is higher, it is emitted further up the stack.
+
+        The decorator sets the ``__deprecated__``
+        attribute on the decorated object to the deprecation message
+        passed to the decorator. If applied to an overload, the decorator
+        must be after the ``@overload`` decorator for the attribute to
+        exist on the overload as returned by ``get_overloads()``.
+
+        See PEP 702 for details.
+
+        """
+        def decorator(__arg: _T) -> _T:
+            if category is None:
+                __arg.__deprecated__ = __msg
+                return __arg
+            elif isinstance(__arg, type):
+                original_new = __arg.__new__
+                has_init = __arg.__init__ is not object.__init__
+
+                @functools.wraps(original_new)
+                def __new__(cls, *args, **kwargs):
+                    warnings.warn(__msg, category=category, stacklevel=stacklevel + 1)
+                    if original_new is not object.__new__:
+                        return original_new(cls, *args, **kwargs)
+                    # Mirrors a similar check in object.__new__.
+                    elif not has_init and (args or kwargs):
+                        raise TypeError(f"{cls.__name__}() takes no arguments")
+                    else:
+                        return original_new(cls)
+
+                __arg.__new__ = staticmethod(__new__)
+                __arg.__deprecated__ = __new__.__deprecated__ = __msg
+                return __arg
+            elif callable(__arg):
+                @functools.wraps(__arg)
+                def wrapper(*args, **kwargs):
+                    warnings.warn(__msg, category=category, stacklevel=stacklevel + 1)
+                    return __arg(*args, **kwargs)
+
+                __arg.__deprecated__ = wrapper.__deprecated__ = __msg
+                return wrapper
+            else:
+                raise TypeError(
+                    "@deprecated decorator with non-None category must be applied to "
+                    f"a class or callable, not {__arg!r}"
+                )
+
+        return decorator
+
+
+# We have to do some monkey patching to deal with the dual nature of
+# Unpack/TypeVarTuple:
+# - We want Unpack to be a kind of TypeVar so it gets accepted in
+#   Generic[Unpack[Ts]]
+# - We want it to *not* be treated as a TypeVar for the purposes of
+#   counting generic parameters, so that when we subscript a generic,
+#   the runtime doesn't try to substitute the Unpack with the subscripted type.
+if not hasattr(typing, "TypeVarTuple"):
+    typing._collect_type_vars = _collect_type_vars
+    typing._check_generic = _check_generic
+
+
+# Backport typing.NamedTuple as it exists in Python 3.12.
+# In 3.11, the ability to define generic `NamedTuple`s was supported.
+# This was explicitly disallowed in 3.9-3.10, and only half-worked in <=3.8.
+# On 3.12, we added __orig_bases__ to call-based NamedTuples
+# On 3.13, we deprecated kwargs-based NamedTuples
+if sys.version_info >= (3, 13):
+    NamedTuple = typing.NamedTuple
+else:
+    def _make_nmtuple(name, types, module, defaults=()):
+        fields = [n for n, t in types]
+        annotations = {n: typing._type_check(t, f"field {n} annotation must be a type")
+                       for n, t in types}
+        nm_tpl = collections.namedtuple(name, fields,
+                                        defaults=defaults, module=module)
+        nm_tpl.__annotations__ = nm_tpl.__new__.__annotations__ = annotations
+        # The `_field_types` attribute was removed in 3.9;
+        # in earlier versions, it is the same as the `__annotations__` attribute
+        if sys.version_info < (3, 9):
+            nm_tpl._field_types = annotations
+        return nm_tpl
+
+    _prohibited_namedtuple_fields = typing._prohibited
+    _special_namedtuple_fields = frozenset({'__module__', '__name__', '__annotations__'})
+
+    class _NamedTupleMeta(type):
+        def __new__(cls, typename, bases, ns):
+            assert _NamedTuple in bases
+            for base in bases:
+                if base is not _NamedTuple and base is not typing.Generic:
+                    raise TypeError(
+                        'can only inherit from a NamedTuple type and Generic')
+            bases = tuple(tuple if base is _NamedTuple else base for base in bases)
+            types = ns.get('__annotations__', {})
+            default_names = []
+            for field_name in types:
+                if field_name in ns:
+                    default_names.append(field_name)
+                elif default_names:
+                    raise TypeError(f"Non-default namedtuple field {field_name} "
+                                    f"cannot follow default field"
+                                    f"{'s' if len(default_names) > 1 else ''} "
+                                    f"{', '.join(default_names)}")
+            nm_tpl = _make_nmtuple(
+                typename, types.items(),
+                defaults=[ns[n] for n in default_names],
+                module=ns['__module__']
+            )
+            nm_tpl.__bases__ = bases
+            if typing.Generic in bases:
+                if hasattr(typing, '_generic_class_getitem'):  # 3.12+
+                    nm_tpl.__class_getitem__ = classmethod(typing._generic_class_getitem)
+                else:
+                    class_getitem = typing.Generic.__class_getitem__.__func__
+                    nm_tpl.__class_getitem__ = classmethod(class_getitem)
+            # update from user namespace without overriding special namedtuple attributes
+            for key in ns:
+                if key in _prohibited_namedtuple_fields:
+                    raise AttributeError("Cannot overwrite NamedTuple attribute " + key)
+                elif key not in _special_namedtuple_fields and key not in nm_tpl._fields:
+                    setattr(nm_tpl, key, ns[key])
+            if typing.Generic in bases:
+                nm_tpl.__init_subclass__()
+            return nm_tpl
+
+    _NamedTuple = type.__new__(_NamedTupleMeta, 'NamedTuple', (), {})
+
+    def _namedtuple_mro_entries(bases):
+        assert NamedTuple in bases
+        return (_NamedTuple,)
+
+    @_ensure_subclassable(_namedtuple_mro_entries)
+    def NamedTuple(__typename, __fields=_marker, **kwargs):
+        """Typed version of namedtuple.
+
+        Usage::
+
+            class Employee(NamedTuple):
+                name: str
+                id: int
+
+        This is equivalent to::
+
+            Employee = collections.namedtuple('Employee', ['name', 'id'])
+
+        The resulting class has an extra __annotations__ attribute, giving a
+        dict that maps field names to types.  (The field names are also in
+        the _fields attribute, which is part of the namedtuple API.)
+        An alternative equivalent functional syntax is also accepted::
+
+            Employee = NamedTuple('Employee', [('name', str), ('id', int)])
+        """
+        if __fields is _marker:
+            if kwargs:
+                deprecated_thing = "Creating NamedTuple classes using keyword arguments"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "Use the class-based or functional syntax instead."
+                )
+            else:
+                deprecated_thing = "Failing to pass a value for the 'fields' parameter"
+                example = f"`{__typename} = NamedTuple({__typename!r}, [])`"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "To create a NamedTuple class with 0 fields "
+                    "using the functional syntax, "
+                    "pass an empty list, e.g. "
+                ) + example + "."
+        elif __fields is None:
+            if kwargs:
+                raise TypeError(
+                    "Cannot pass `None` as the 'fields' parameter "
+                    "and also specify fields using keyword arguments"
+                )
+            else:
+                deprecated_thing = "Passing `None` as the 'fields' parameter"
+                example = f"`{__typename} = NamedTuple({__typename!r}, [])`"
+                deprecation_msg = (
+                    "{name} is deprecated and will be disallowed in Python {remove}. "
+                    "To create a NamedTuple class with 0 fields "
+                    "using the functional syntax, "
+                    "pass an empty list, e.g. "
+                ) + example + "."
+        elif kwargs:
+            raise TypeError("Either list of fields or keywords"
+                            " can be provided to NamedTuple, not both")
+        if __fields is _marker or __fields is None:
+            warnings.warn(
+                deprecation_msg.format(name=deprecated_thing, remove="3.15"),
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            __fields = kwargs.items()
+        nt = _make_nmtuple(__typename, __fields, module=_caller())
+        nt.__orig_bases__ = (NamedTuple,)
+        return nt
+
+    # On 3.8+, alter the signature so that it matches typing.NamedTuple.
+    # The signature of typing.NamedTuple on >=3.8 is invalid syntax in Python 3.7,
+    # so just leave the signature as it is on 3.7.
+    if sys.version_info >= (3, 8):
+        _new_signature = '(typename, fields=None, /, **kwargs)'
+        if isinstance(NamedTuple, _types.FunctionType):
+            NamedTuple.__text_signature__ = _new_signature
+        else:
+            NamedTuple.__call__.__text_signature__ = _new_signature
+
+
+if hasattr(collections.abc, "Buffer"):
+    Buffer = collections.abc.Buffer
+else:
+    class Buffer(abc.ABC):
+        """Base class for classes that implement the buffer protocol.
+
+        The buffer protocol allows Python objects to expose a low-level
+        memory buffer interface. Before Python 3.12, it is not possible
+        to implement the buffer protocol in pure Python code, or even
+        to check whether a class implements the buffer protocol. In
+        Python 3.12 and higher, the ``__buffer__`` method allows access
+        to the buffer protocol from Python code, and the
+        ``collections.abc.Buffer`` ABC allows checking whether a class
+        implements the buffer protocol.
+
+        To indicate support for the buffer protocol in earlier versions,
+        inherit from this ABC, either in a stub file or at runtime,
+        or use ABC registration. This ABC provides no methods, because
+        there is no Python-accessible methods shared by pre-3.12 buffer
+        classes. It is useful primarily for static checks.
+
+        """
+
+    # As a courtesy, register the most common stdlib buffer classes.
+    Buffer.register(memoryview)
+    Buffer.register(bytearray)
+    Buffer.register(bytes)
+
+
+# Backport of types.get_original_bases, available on 3.12+ in CPython
+if hasattr(_types, "get_original_bases"):
+    get_original_bases = _types.get_original_bases
+else:
+    def get_original_bases(__cls):
+        """Return the class's "original" bases prior to modification by `__mro_entries__`.
+
+        Examples::
+
+            from typing import TypeVar, Generic
+            from metaflow._vendor.v3_7.typing_extensions import NamedTuple, TypedDict
+
+            T = TypeVar("T")
+            class Foo(Generic[T]): ...
+            class Bar(Foo[int], float): ...
+            class Baz(list[str]): ...
+            Eggs = NamedTuple("Eggs", [("a", int), ("b", str)])
+            Spam = TypedDict("Spam", {"a": int, "b": str})
+
+            assert get_original_bases(Bar) == (Foo[int], float)
+            assert get_original_bases(Baz) == (list[str],)
+            assert get_original_bases(Eggs) == (NamedTuple,)
+            assert get_original_bases(Spam) == (TypedDict,)
+            assert get_original_bases(int) == (object,)
+        """
+        try:
+            return __cls.__orig_bases__
+        except AttributeError:
+            try:
+                return __cls.__bases__
+            except AttributeError:
+                raise TypeError(
+                    f'Expected an instance of type, not {type(__cls).__name__!r}'
+                ) from None
+
+
+# NewType is a class on Python 3.10+, making it pickleable
+# The error message for subclassing instances of NewType was improved on 3.11+
+if sys.version_info >= (3, 11):
+    NewType = typing.NewType
+else:
+    class NewType:
+        """NewType creates simple unique types with almost zero
+        runtime overhead. NewType(name, tp) is considered a subtype of tp
+        by static type checkers. At runtime, NewType(name, tp) returns
+        a dummy callable that simply returns its argument. Usage::
+            UserId = NewType('UserId', int)
+            def name_by_id(user_id: UserId) -> str:
+                ...
+            UserId('user')          # Fails type check
+            name_by_id(42)          # Fails type check
+            name_by_id(UserId(42))  # OK
+            num = UserId(5) + 1     # type: int
+        """
+
+        def __call__(self, obj):
+            return obj
+
+        def __init__(self, name, tp):
+            self.__qualname__ = name
+            if '.' in name:
+                name = name.rpartition('.')[-1]
+            self.__name__ = name
+            self.__supertype__ = tp
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+        def __mro_entries__(self, bases):
+            # We defined __mro_entries__ to get a better error message
+            # if a user attempts to subclass a NewType instance. bpo-46170
+            supercls_name = self.__name__
+
+            class Dummy:
+                def __init_subclass__(cls):
+                    subcls_name = cls.__name__
+                    raise TypeError(
+                        f"Cannot subclass an instance of NewType. "
+                        f"Perhaps you were looking for: "
+                        f"`{subcls_name} = NewType({subcls_name!r}, {supercls_name})`"
+                    )
+
+            return (Dummy,)
+
+        def __repr__(self):
+            return f'{self.__module__}.{self.__qualname__}'
+
+        def __reduce__(self):
+            return self.__qualname__
+
+        if sys.version_info >= (3, 10):
+            # PEP 604 methods
+            # It doesn't make sense to have these methods on Python <3.10
+
+            def __or__(self, other):
+                return typing.Union[self, other]
+
+            def __ror__(self, other):
+                return typing.Union[other, self]
+
+
+if hasattr(typing, "TypeAliasType"):
+    TypeAliasType = typing.TypeAliasType
+else:
+    def _is_unionable(obj):
+        """Corresponds to is_unionable() in unionobject.c in CPython."""
+        return obj is None or isinstance(obj, (
+            type,
+            _types.GenericAlias,
+            _types.UnionType,
+            TypeAliasType,
+        ))
+
+    class TypeAliasType:
+        """Create named, parameterized type aliases.
+
+        This provides a backport of the new `type` statement in Python 3.12:
+
+            type ListOrSet[T] = list[T] | set[T]
+
+        is equivalent to:
+
+            T = TypeVar("T")
+            ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,))
+
+        The name ListOrSet can then be used as an alias for the type it refers to.
+
+        The type_params argument should contain all the type parameters used
+        in the value of the type alias. If the alias is not generic, this
+        argument is omitted.
+
+        Static type checkers should only support type aliases declared using
+        TypeAliasType that follow these rules:
+
+        - The first argument (the name) must be a string literal.
+        - The TypeAliasType instance must be immediately assigned to a variable
+          of the same name. (For example, 'X = TypeAliasType("Y", int)' is invalid,
+          as is 'X, Y = TypeAliasType("X", int), TypeAliasType("Y", int)').
+
+        """
+
+        def __init__(self, name: str, value, *, type_params=()):
+            if not isinstance(name, str):
+                raise TypeError("TypeAliasType name must be a string")
+            self.__value__ = value
+            self.__type_params__ = type_params
+
+            parameters = []
+            for type_param in type_params:
+                if isinstance(type_param, TypeVarTuple):
+                    parameters.extend(type_param)
+                else:
+                    parameters.append(type_param)
+            self.__parameters__ = tuple(parameters)
+            def_mod = _caller()
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+            # Setting this attribute closes the TypeAliasType from further modification
+            self.__name__ = name
+
+        def __setattr__(self, __name: str, __value: object) -> None:
+            if hasattr(self, "__name__"):
+                self._raise_attribute_error(__name)
+            super().__setattr__(__name, __value)
+
+        def __delattr__(self, __name: str) -> Never:
+            self._raise_attribute_error(__name)
+
+        def _raise_attribute_error(self, name: str) -> Never:
+            # Match the Python 3.12 error messages exactly
+            if name == "__name__":
+                raise AttributeError("readonly attribute")
+            elif name in {"__value__", "__type_params__", "__parameters__", "__module__"}:
+                raise AttributeError(
+                    f"attribute '{name}' of 'typing.TypeAliasType' objects "
+                    "is not writable"
+                )
+            else:
+                raise AttributeError(
+                    f"'typing.TypeAliasType' object has no attribute '{name}'"
+                )
+
+        def __repr__(self) -> str:
+            return self.__name__
+
+        def __getitem__(self, parameters):
+            if not isinstance(parameters, tuple):
+                parameters = (parameters,)
+            parameters = [
+                typing._type_check(
+                    item, f'Subscripting {self.__name__} requires a type.'
+                )
+                for item in parameters
+            ]
+            return typing._GenericAlias(self, tuple(parameters))
+
+        def __reduce__(self):
+            return self.__name__
+
+        def __init_subclass__(cls, *args, **kwargs):
+            raise TypeError(
+                "type 'typing_extensions.TypeAliasType' is not an acceptable base type"
+            )
+
+        # The presence of this method convinces typing._type_check
+        # that TypeAliasTypes are types.
+        def __call__(self):
+            raise TypeError("Type alias is not callable")
+
+        if sys.version_info >= (3, 10):
+            def __or__(self, right):
+                # For forward compatibility with 3.12, reject Unions
+                # that are not accepted by the built-in Union.
+                if not _is_unionable(right):
+                    return NotImplemented
+                return typing.Union[self, right]
+
+            def __ror__(self, left):
+                if not _is_unionable(left):
+                    return NotImplemented
+                return typing.Union[left, self]
+
+
+if hasattr(typing, "is_protocol"):
+    is_protocol = typing.is_protocol
+    get_protocol_members = typing.get_protocol_members
+else:
+    def is_protocol(__tp: type) -> bool:
+        """Return True if the given type is a Protocol.
+
+        Example::
+
+            >>> from typing_extensions import Protocol, is_protocol
+            >>> class P(Protocol):
+            ...     def a(self) -> str: ...
+            ...     b: int
+            >>> is_protocol(P)
+            True
+            >>> is_protocol(int)
+            False
+        """
+        return (
+            isinstance(__tp, type)
+            and getattr(__tp, '_is_protocol', False)
+            and __tp is not Protocol
+            and __tp is not getattr(typing, "Protocol", object())
+        )
+
+    def get_protocol_members(__tp: type) -> typing.FrozenSet[str]:
+        """Return the set of members defined in a Protocol.
+
+        Example::
+
+            >>> from typing_extensions import Protocol, get_protocol_members
+            >>> class P(Protocol):
+            ...     def a(self) -> str: ...
+            ...     b: int
+            >>> get_protocol_members(P)
+            frozenset({'a', 'b'})
+
+        Raise a TypeError for arguments that are not Protocols.
+        """
+        if not is_protocol(__tp):
+            raise TypeError(f'{__tp!r} is not a Protocol')
+        if hasattr(__tp, '__protocol_attrs__'):
+            return frozenset(__tp.__protocol_attrs__)
+        return frozenset(_get_protocol_attrs(__tp))
+
+
+# Aliases for items that have always been in typing.
+# Explicitly assign these (rather than using `from typing import *` at the top),
+# so that we get a CI error if one of these is deleted from typing.py
+# in a future version of Python
+AbstractSet = typing.AbstractSet
+AnyStr = typing.AnyStr
+BinaryIO = typing.BinaryIO
+Callable = typing.Callable
+Collection = typing.Collection
+Container = typing.Container
+Dict = typing.Dict
+ForwardRef = typing.ForwardRef
+FrozenSet = typing.FrozenSet
+Generator = typing.Generator
+Generic = typing.Generic
+Hashable = typing.Hashable
+IO = typing.IO
+ItemsView = typing.ItemsView
+Iterable = typing.Iterable
+Iterator = typing.Iterator
+KeysView = typing.KeysView
+List = typing.List
+Mapping = typing.Mapping
+MappingView = typing.MappingView
+Match = typing.Match
+MutableMapping = typing.MutableMapping
+MutableSequence = typing.MutableSequence
+MutableSet = typing.MutableSet
+Optional = typing.Optional
+Pattern = typing.Pattern
+Reversible = typing.Reversible
+Sequence = typing.Sequence
+Set = typing.Set
+Sized = typing.Sized
+TextIO = typing.TextIO
+Tuple = typing.Tuple
+Union = typing.Union
+ValuesView = typing.ValuesView
+cast = typing.cast
+no_type_check = typing.no_type_check
+no_type_check_decorator = typing.no_type_check_decorator
diff --git a/metaflow/_vendor/v3_5/zipp.LICENSE b/metaflow/_vendor/v3_7/zipp.LICENSE
similarity index 100%
rename from metaflow/_vendor/v3_5/zipp.LICENSE
rename to metaflow/_vendor/v3_7/zipp.LICENSE
diff --git a/metaflow/_vendor/v3_5/zipp.py b/metaflow/_vendor/v3_7/zipp.py
similarity index 100%
rename from metaflow/_vendor/v3_5/zipp.py
rename to metaflow/_vendor/v3_7/zipp.py
diff --git a/metaflow/_vendor/vendor_any.txt b/metaflow/_vendor/vendor_any.txt
index f7fc59bf3bb..683e0596ab6 100644
--- a/metaflow/_vendor/vendor_any.txt
+++ b/metaflow/_vendor/vendor_any.txt
@@ -1 +1,6 @@
 click==7.1.2
+packaging==23.0
+importlib_metadata==4.8.3
+typeguard==4.4.0
+typing_extensions==4.12.2
+zipp==3.6.0
diff --git a/metaflow/_vendor/vendor_v3_5.txt b/metaflow/_vendor/vendor_v3_5.txt
deleted file mode 100644
index 43295d035a6..00000000000
--- a/metaflow/_vendor/vendor_v3_5.txt
+++ /dev/null
@@ -1 +0,0 @@
-importlib_metadata==2.1.3
diff --git a/metaflow/_vendor/vendor_v3_6.txt b/metaflow/_vendor/vendor_v3_6.txt
index 7ab36b23bb5..5efb33f9d70 100644
--- a/metaflow/_vendor/vendor_v3_6.txt
+++ b/metaflow/_vendor/vendor_v3_6.txt
@@ -1 +1,3 @@
-importlib_metadata==4.8.3
\ No newline at end of file
+importlib_metadata==4.8.3
+typing_extensions==4.1.1
+zipp==3.6.0
diff --git a/metaflow/_vendor/vendor_v3_7.txt b/metaflow/_vendor/vendor_v3_7.txt
new file mode 100644
index 00000000000..681b2b4007b
--- /dev/null
+++ b/metaflow/_vendor/vendor_v3_7.txt
@@ -0,0 +1,4 @@
+importlib_metadata==4.8.3
+typeguard==4.1.2
+typing_extensions==4.7.1
+zipp==3.6.0
diff --git a/metaflow/_vendor/zipp.LICENSE b/metaflow/_vendor/zipp.LICENSE
new file mode 100644
index 00000000000..353924be0e5
--- /dev/null
+++ b/metaflow/_vendor/zipp.LICENSE
@@ -0,0 +1,19 @@
+Copyright Jason R. Coombs
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to
+deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+sell copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
diff --git a/metaflow/_vendor/zipp.py b/metaflow/_vendor/zipp.py
new file mode 100644
index 00000000000..26b723c1fd3
--- /dev/null
+++ b/metaflow/_vendor/zipp.py
@@ -0,0 +1,329 @@
+import io
+import posixpath
+import zipfile
+import itertools
+import contextlib
+import sys
+import pathlib
+
+if sys.version_info < (3, 7):
+    from collections import OrderedDict
+else:
+    OrderedDict = dict
+
+
+__all__ = ['Path']
+
+
+def _parents(path):
+    """
+    Given a path with elements separated by
+    posixpath.sep, generate all parents of that path.
+
+    >>> list(_parents('b/d'))
+    ['b']
+    >>> list(_parents('/b/d/'))
+    ['/b']
+    >>> list(_parents('b/d/f/'))
+    ['b/d', 'b']
+    >>> list(_parents('b'))
+    []
+    >>> list(_parents(''))
+    []
+    """
+    return itertools.islice(_ancestry(path), 1, None)
+
+
+def _ancestry(path):
+    """
+    Given a path with elements separated by
+    posixpath.sep, generate all elements of that path
+
+    >>> list(_ancestry('b/d'))
+    ['b/d', 'b']
+    >>> list(_ancestry('/b/d/'))
+    ['/b/d', '/b']
+    >>> list(_ancestry('b/d/f/'))
+    ['b/d/f', 'b/d', 'b']
+    >>> list(_ancestry('b'))
+    ['b']
+    >>> list(_ancestry(''))
+    []
+    """
+    path = path.rstrip(posixpath.sep)
+    while path and path != posixpath.sep:
+        yield path
+        path, tail = posixpath.split(path)
+
+
+_dedupe = OrderedDict.fromkeys
+"""Deduplicate an iterable in original order"""
+
+
+def _difference(minuend, subtrahend):
+    """
+    Return items in minuend not in subtrahend, retaining order
+    with O(1) lookup.
+    """
+    return itertools.filterfalse(set(subtrahend).__contains__, minuend)
+
+
+class CompleteDirs(zipfile.ZipFile):
+    """
+    A ZipFile subclass that ensures that implied directories
+    are always included in the namelist.
+    """
+
+    @staticmethod
+    def _implied_dirs(names):
+        parents = itertools.chain.from_iterable(map(_parents, names))
+        as_dirs = (p + posixpath.sep for p in parents)
+        return _dedupe(_difference(as_dirs, names))
+
+    def namelist(self):
+        names = super(CompleteDirs, self).namelist()
+        return names + list(self._implied_dirs(names))
+
+    def _name_set(self):
+        return set(self.namelist())
+
+    def resolve_dir(self, name):
+        """
+        If the name represents a directory, return that name
+        as a directory (with the trailing slash).
+        """
+        names = self._name_set()
+        dirname = name + '/'
+        dir_match = name not in names and dirname in names
+        return dirname if dir_match else name
+
+    @classmethod
+    def make(cls, source):
+        """
+        Given a source (filename or zipfile), return an
+        appropriate CompleteDirs subclass.
+        """
+        if isinstance(source, CompleteDirs):
+            return source
+
+        if not isinstance(source, zipfile.ZipFile):
+            return cls(_pathlib_compat(source))
+
+        # Only allow for FastLookup when supplied zipfile is read-only
+        if 'r' not in source.mode:
+            cls = CompleteDirs
+
+        source.__class__ = cls
+        return source
+
+
+class FastLookup(CompleteDirs):
+    """
+    ZipFile subclass to ensure implicit
+    dirs exist and are resolved rapidly.
+    """
+
+    def namelist(self):
+        with contextlib.suppress(AttributeError):
+            return self.__names
+        self.__names = super(FastLookup, self).namelist()
+        return self.__names
+
+    def _name_set(self):
+        with contextlib.suppress(AttributeError):
+            return self.__lookup
+        self.__lookup = super(FastLookup, self)._name_set()
+        return self.__lookup
+
+
+def _pathlib_compat(path):
+    """
+    For path-like objects, convert to a filename for compatibility
+    on Python 3.6.1 and earlier.
+    """
+    try:
+        return path.__fspath__()
+    except AttributeError:
+        return str(path)
+
+
+class Path:
+    """
+    A pathlib-compatible interface for zip files.
+
+    Consider a zip file with this structure::
+
+        .
+        β”œβ”€β”€ a.txt
+        └── b
+            β”œβ”€β”€ c.txt
+            └── d
+                └── e.txt
+
+    >>> data = io.BytesIO()
+    >>> zf = zipfile.ZipFile(data, 'w')
+    >>> zf.writestr('a.txt', 'content of a')
+    >>> zf.writestr('b/c.txt', 'content of c')
+    >>> zf.writestr('b/d/e.txt', 'content of e')
+    >>> zf.filename = 'mem/abcde.zip'
+
+    Path accepts the zipfile object itself or a filename
+
+    >>> root = Path(zf)
+
+    From there, several path operations are available.
+
+    Directory iteration (including the zip file itself):
+
+    >>> a, b = root.iterdir()
+    >>> a
+    Path('mem/abcde.zip', 'a.txt')
+    >>> b
+    Path('mem/abcde.zip', 'b/')
+
+    name property:
+
+    >>> b.name
+    'b'
+
+    join with divide operator:
+
+    >>> c = b / 'c.txt'
+    >>> c
+    Path('mem/abcde.zip', 'b/c.txt')
+    >>> c.name
+    'c.txt'
+
+    Read text:
+
+    >>> c.read_text()
+    'content of c'
+
+    existence:
+
+    >>> c.exists()
+    True
+    >>> (b / 'missing.txt').exists()
+    False
+
+    Coercion to string:
+
+    >>> import os
+    >>> str(c).replace(os.sep, posixpath.sep)
+    'mem/abcde.zip/b/c.txt'
+
+    At the root, ``name``, ``filename``, and ``parent``
+    resolve to the zipfile. Note these attributes are not
+    valid and will raise a ``ValueError`` if the zipfile
+    has no filename.
+
+    >>> root.name
+    'abcde.zip'
+    >>> str(root.filename).replace(os.sep, posixpath.sep)
+    'mem/abcde.zip'
+    >>> str(root.parent)
+    'mem'
+    """
+
+    __repr = "{self.__class__.__name__}({self.root.filename!r}, {self.at!r})"
+
+    def __init__(self, root, at=""):
+        """
+        Construct a Path from a ZipFile or filename.
+
+        Note: When the source is an existing ZipFile object,
+        its type (__class__) will be mutated to a
+        specialized type. If the caller wishes to retain the
+        original type, the caller should either create a
+        separate ZipFile object or pass a filename.
+        """
+        self.root = FastLookup.make(root)
+        self.at = at
+
+    def open(self, mode='r', *args, pwd=None, **kwargs):
+        """
+        Open this entry as text or binary following the semantics
+        of ``pathlib.Path.open()`` by passing arguments through
+        to io.TextIOWrapper().
+        """
+        if self.is_dir():
+            raise IsADirectoryError(self)
+        zip_mode = mode[0]
+        if not self.exists() and zip_mode == 'r':
+            raise FileNotFoundError(self)
+        stream = self.root.open(self.at, zip_mode, pwd=pwd)
+        if 'b' in mode:
+            if args or kwargs:
+                raise ValueError("encoding args invalid for binary operation")
+            return stream
+        return io.TextIOWrapper(stream, *args, **kwargs)
+
+    @property
+    def name(self):
+        return pathlib.Path(self.at).name or self.filename.name
+
+    @property
+    def suffix(self):
+        return pathlib.Path(self.at).suffix or self.filename.suffix
+
+    @property
+    def suffixes(self):
+        return pathlib.Path(self.at).suffixes or self.filename.suffixes
+
+    @property
+    def stem(self):
+        return pathlib.Path(self.at).stem or self.filename.stem
+
+    @property
+    def filename(self):
+        return pathlib.Path(self.root.filename).joinpath(self.at)
+
+    def read_text(self, *args, **kwargs):
+        with self.open('r', *args, **kwargs) as strm:
+            return strm.read()
+
+    def read_bytes(self):
+        with self.open('rb') as strm:
+            return strm.read()
+
+    def _is_child(self, path):
+        return posixpath.dirname(path.at.rstrip("/")) == self.at.rstrip("/")
+
+    def _next(self, at):
+        return self.__class__(self.root, at)
+
+    def is_dir(self):
+        return not self.at or self.at.endswith("/")
+
+    def is_file(self):
+        return self.exists() and not self.is_dir()
+
+    def exists(self):
+        return self.at in self.root._name_set()
+
+    def iterdir(self):
+        if not self.is_dir():
+            raise ValueError("Can't listdir a file")
+        subs = map(self._next, self.root.namelist())
+        return filter(self._is_child, subs)
+
+    def __str__(self):
+        return posixpath.join(self.root.filename, self.at)
+
+    def __repr__(self):
+        return self.__repr.format(self=self)
+
+    def joinpath(self, *other):
+        next = posixpath.join(self.at, *map(_pathlib_compat, other))
+        return self._next(self.root.resolve_dir(next))
+
+    __truediv__ = joinpath
+
+    @property
+    def parent(self):
+        if not self.at:
+            return self.filename.parent
+        parent_at = posixpath.dirname(self.at.rstrip('/'))
+        if parent_at:
+            parent_at += '/'
+        return self._next(parent_at)
diff --git a/metaflow/cards.py b/metaflow/cards.py
index edebaf68968..2497d4dd89c 100644
--- a/metaflow/cards.py
+++ b/metaflow/cards.py
@@ -6,6 +6,9 @@
     Image,
     Error,
     Markdown,
+    VegaChart,
+    ProgressBar,
+    PythonCode,
 )
 from metaflow.plugins.cards.card_modules.basic import (
     DefaultCard,
diff --git a/metaflow/cli.py b/metaflow/cli.py
index ad582043a66..c22ee7a9c59 100644
--- a/metaflow/cli.py
+++ b/metaflow/cli.py
@@ -1,54 +1,46 @@
+import functools
 import inspect
+import os
 import sys
 import traceback
 from datetime import datetime
-from functools import wraps
 
+import metaflow.tracing as tracing
 from metaflow._vendor import click
 
-from . import lint
-from . import plugins
-from . import parameters
-from . import decorators
-from . import metaflow_version
-from . import namespace
-from . import current
+from . import decorators, lint, metaflow_version, parameters, plugins
 from .cli_args import cli_args
-from .tagging_util import validate_tags
-from .util import (
-    resolve_identity,
-    decompress_list,
-    write_latest_run_id,
-    get_latest_run_id,
-)
-from .task import MetaflowTask
+from .cli_components.utils import LazyGroup, LazyPluginCommandCollection
+from .datastore import FlowDataStore, TaskDataStoreSet
+from .debug import debug
 from .exception import CommandException, MetaflowException
+from .flowspec import _FlowState
 from .graph import FlowGraph
-from .datastore import FlowDataStore, TaskDataStoreSet, TaskDataStore
-
-from .runtime import NativeRuntime
-from .package import MetaflowPackage
-from .plugins import (
-    DATASTORES,
-    ENVIRONMENTS,
-    LOGGING_SIDECARS,
-    METADATA_PROVIDERS,
-    MONITOR_SIDECARS,
-)
 from .metaflow_config import (
     DEFAULT_DATASTORE,
+    DEFAULT_DECOSPECS,
     DEFAULT_ENVIRONMENT,
     DEFAULT_EVENT_LOGGER,
     DEFAULT_METADATA,
     DEFAULT_MONITOR,
     DEFAULT_PACKAGE_SUFFIXES,
 )
+from .metaflow_current import current
+from metaflow.system import _system_monitor, _system_logger
 from .metaflow_environment import MetaflowEnvironment
+from .packaging_sys import MetaflowCodeContent
+from .plugins import (
+    DATASTORES,
+    ENVIRONMENTS,
+    LOGGING_SIDECARS,
+    METADATA_PROVIDERS,
+    MONITOR_SIDECARS,
+)
 from .pylint_wrapper import PyLint
-from .R import use_r, metaflow_r_version
-from .mflog import mflog, LOG_SOURCES
-from .unbounded_foreach import UBF_CONTROL, UBF_TASK
-
+from .R import metaflow_r_version, use_r
+from .util import get_latest_run_id, resolve_identity
+from .user_configs.config_options import LocalFileInput, config_options
+from .user_configs.config_parameters import ConfigValue
 
 ERASE_TO_EOL = "\033[K"
 HIGHLIGHT = "red"
@@ -58,13 +50,6 @@
 LOGGER_COLOR = "green"
 LOGGER_BAD_COLOR = "red"
 
-try:
-    # Python 2
-    import cPickle as pickle
-except ImportError:
-    # Python 3
-    import pickle
-
 
 def echo_dev_null(*args, **kwargs):
     pass
@@ -123,7 +108,16 @@ def logger(body="", system_msg=False, head="", bad=False, timestamp=True, nl=Tru
     click.secho(body, bold=system_msg, fg=LOGGER_BAD_COLOR if bad else None, nl=nl)
 
 
-@click.group()
+@click.group(
+    cls=LazyGroup,
+    lazy_subcommands={
+        "init": "metaflow.cli_components.init_cmd.init",
+        "dump": "metaflow.cli_components.dump_cmd.dump",
+        "step": "metaflow.cli_components.step_cmd.step",
+        "run": "metaflow.cli_components.run_cmds.run",
+        "resume": "metaflow.cli_components.run_cmds.resume",
+    },
+)
 def cli(ctx):
     pass
 
@@ -137,7 +131,13 @@ def cli(ctx):
 )
 @click.pass_obj
 def check(obj, warnings=False):
-    _check(obj.graph, obj.flow, obj.environment, pylint=obj.pylint, warnings=warnings)
+    if obj.is_quiet:
+        echo = echo_dev_null
+    else:
+        echo = echo_always
+    _check(
+        echo, obj.graph, obj.flow, obj.environment, pylint=obj.pylint, warnings=warnings
+    )
     fname = inspect.getfile(obj.flow.__class__)
     echo(
         "\n*'{cmd} show'* shows a description of this flow.\n"
@@ -152,8 +152,14 @@ def check(obj, warnings=False):
 @click.pass_obj
 def show(obj):
     echo_always("\n%s" % obj.graph.doc)
-    for _, node in sorted((n.func_lineno, n) for n in obj.graph):
-        echo_always("\nStep *%s*" % node.name, err=False)
+    for node_name in obj.graph.sorted_nodes:
+        echo_always("")
+        node = obj.graph[node_name]
+        for deco in node.decorators:
+            echo_always("@%s" % deco.name, err=False)
+        for deco in node.wrappers:
+            echo_always("@%s" % deco.decorator_name, err=False)
+        echo_always("Step *%s*" % node.name, err=False)
         echo_always(node.doc if node.doc else "?", indent=True, err=False)
         if node.type != "end":
             echo_always(
@@ -187,15 +193,15 @@ def output_raw(obj, json):
     else:
         _graph = str(obj.graph)
         _msg = "Internal representation of the flow:"
-    echo(_msg, fg="magenta", bold=False)
+    echo_always(_msg, fg="magenta", bold=False)
     echo_always(_graph, err=False)
 
 
 @cli.command(help="Visualize the flow with Graphviz.")
 @click.pass_obj
 def output_dot(obj):
-    echo("Visualizing the flow as a GraphViz graph", fg="magenta", bold=False)
-    echo(
+    echo_always("Visualizing the flow as a GraphViz graph", fg="magenta", bold=False)
+    echo_always(
         "Try piping the output to 'dot -Tpng -o graph.png' to produce "
         "an actual image.",
         indent=True,
@@ -203,708 +209,31 @@ def output_dot(obj):
     echo_always(obj.graph.output_dot(), err=False)
 
 
-@cli.command(
-    help="Get data artifacts of a task or all tasks in a step. "
-    "The format for input-path is either / or "
-    "//."
-)
-@click.argument("input-path")
-@click.option(
-    "--private/--no-private",
-    default=False,
-    show_default=True,
-    help="Show also private attributes.",
-)
-@click.option(
-    "--max-value-size",
-    default=1000,
-    show_default=True,
-    type=int,
-    help="Show only values that are smaller than this number. "
-    "Set to 0 to see only keys.",
-)
-@click.option(
-    "--include",
-    type=str,
-    default="",
-    help="Include only artifacts in the given comma-separated list.",
-)
-@click.option(
-    "--file", type=str, default=None, help="Serialize artifacts in the given file."
-)
-@click.pass_obj
-def dump(obj, input_path, private=None, max_value_size=None, include=None, file=None):
-
-    output = {}
-    kwargs = {
-        "show_private": private,
-        "max_value_size": max_value_size,
-        "include": {t for t in include.split(",") if t},
-    }
-
-    # Pathspec can either be run_id/step_name or run_id/step_name/task_id.
-    parts = input_path.split("/")
-    if len(parts) == 2:
-        run_id, step_name = parts
-        task_id = None
-    elif len(parts) == 3:
-        run_id, step_name, task_id = parts
-    else:
-        raise CommandException(
-            "input_path should either be run_id/step_name or run_id/step_name/task_id"
-        )
-
-    datastore_set = TaskDataStoreSet(
-        obj.flow_datastore,
-        run_id,
-        steps=[step_name],
-        prefetch_data_artifacts=kwargs.get("include"),
-    )
-    if task_id:
-        ds_list = [datastore_set.get_with_pathspec(input_path)]
-    else:
-        ds_list = list(datastore_set)  # get all tasks
-
-    for ds in ds_list:
-        echo(
-            "Dumping output of run_id=*{run_id}* "
-            "step=*{step}* task_id=*{task_id}*".format(
-                run_id=ds.run_id, step=ds.step_name, task_id=ds.task_id
-            ),
-            fg="magenta",
-        )
-
-        if file is None:
-            echo_always(
-                ds.format(**kwargs), highlight="green", highlight_bold=False, err=False
-            )
-        else:
-            output[ds.pathspec] = ds.to_dict(**kwargs)
-
-    if file is not None:
-        with open(file, "wb") as f:
-            pickle.dump(output, f, protocol=pickle.HIGHEST_PROTOCOL)
-        echo("Artifacts written to *%s*" % file)
-
-
-@cli.command(
-    help="Show stdout/stderr produced by a task or all tasks in a step. "
-    "The format for input-path is either / or "
-    "//."
-)
-@click.argument("input-path")
-@click.option(
-    "--stdout/--no-stdout",
-    default=False,
-    show_default=True,
-    help="Show stdout of the task.",
-)
-@click.option(
-    "--stderr/--no-stderr",
-    default=False,
-    show_default=True,
-    help="Show stderr of the task.",
-)
-@click.option(
-    "--both/--no-both",
-    default=True,
-    show_default=True,
-    help="Show both stdout and stderr of the task.",
-)
-@click.option(
-    "--timestamps/--no-timestamps",
-    default=False,
-    show_default=True,
-    help="Show timestamps.",
-)
-@click.pass_obj
-def logs(obj, input_path, stdout=None, stderr=None, both=None, timestamps=False):
-    types = set()
-    if stdout:
-        types.add("stdout")
-        both = False
-    if stderr:
-        types.add("stderr")
-        both = False
-    if both:
-        types.update(("stdout", "stderr"))
-
-    streams = list(sorted(types, reverse=True))
-
-    # Pathspec can either be run_id/step_name or run_id/step_name/task_id.
-    parts = input_path.split("/")
-    if len(parts) == 2:
-        run_id, step_name = parts
-        task_id = None
-    elif len(parts) == 3:
-        run_id, step_name, task_id = parts
-    else:
-        raise CommandException(
-            "input_path should either be run_id/step_name "
-            "or run_id/step_name/task_id"
-        )
-
-    datastore_set = TaskDataStoreSet(
-        obj.flow_datastore, run_id, steps=[step_name], allow_not_done=True
-    )
-    if task_id:
-        ds_list = [
-            TaskDataStore(
-                obj.flow_datastore,
-                run_id=run_id,
-                step_name=step_name,
-                task_id=task_id,
-                mode="r",
-                allow_not_done=True,
-            )
-        ]
-    else:
-        ds_list = list(datastore_set)  # get all tasks
-
-    if ds_list:
-
-        def echo_unicode(line, **kwargs):
-            click.secho(line.decode("UTF-8", errors="replace"), **kwargs)
-
-        # old style logs are non mflog-style logs
-        maybe_old_style = True
-        for ds in ds_list:
-            echo(
-                "Dumping logs of run_id=*{run_id}* "
-                "step=*{step}* task_id=*{task_id}*".format(
-                    run_id=ds.run_id, step=ds.step_name, task_id=ds.task_id
-                ),
-                fg="magenta",
-            )
-
-            for stream in streams:
-                echo(stream, bold=True)
-                logs = ds.load_logs(LOG_SOURCES, stream)
-                if any(data for _, data in logs):
-                    # attempt to read new, mflog-style logs
-                    for line in mflog.merge_logs([blob for _, blob in logs]):
-                        if timestamps:
-                            ts = mflog.utc_to_local(line.utc_tstamp)
-                            tstamp = ts.strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
-                            click.secho(tstamp + " ", fg=LOGGER_TIMESTAMP, nl=False)
-                        echo_unicode(line.msg)
-                    maybe_old_style = False
-                elif maybe_old_style:
-                    # if they are not available, we may be looking at
-                    # a legacy run (unless we have seen new-style data already
-                    # for another stream). This return an empty string if
-                    # nothing is found
-                    log = ds.load_log_legacy(stream)
-                    if log and timestamps:
-                        raise CommandException(
-                            "We can't show --timestamps for old runs. Sorry!"
-                        )
-                    echo_unicode(log, nl=False)
-    else:
-        raise CommandException(
-            "No Tasks found at the given path -- "
-            "either none exist or none have started yet"
-        )
-
-
-# TODO - move step and init under a separate 'internal' subcommand
-
-
-@cli.command(help="Internal command to execute a single task.", hidden=True)
-@click.argument("step-name")
-@click.option(
-    "--run-id",
-    default=None,
-    required=True,
-    help="ID for one execution of all steps in the flow.",
-)
-@click.option(
-    "--task-id",
-    default=None,
-    required=True,
-    show_default=True,
-    help="ID for this instance of the step.",
-)
-@click.option(
-    "--input-paths",
-    help="A comma-separated list of pathspecs specifying inputs for this step.",
-)
-@click.option(
-    "--input-paths-filename",
-    type=click.Path(exists=True, readable=True, dir_okay=False, resolve_path=True),
-    help="A filename containing the argument typically passed to `input-paths`",
-    hidden=True,
-)
-@click.option(
-    "--split-index",
-    type=int,
-    default=None,
-    show_default=True,
-    help="Index of this foreach split.",
-)
-@click.option(
-    "--tag",
-    "opt_tag",
-    multiple=True,
-    default=None,
-    help="Annotate this run with the given tag. You can specify "
-    "this option multiple times to attach multiple tags in "
-    "the task.",
-)
-@click.option(
-    "--namespace",
-    "opt_namespace",
-    default=None,
-    help="Change namespace from the default (your username) to the specified tag.",
-)
-@click.option(
-    "--retry-count",
-    default=0,
-    help="How many times we have attempted to run this task.",
-)
-@click.option(
-    "--max-user-code-retries",
-    default=0,
-    help="How many times we should attempt running the user code.",
-)
-@click.option(
-    "--clone-only",
-    default=None,
-    help="Pathspec of the origin task for this task to clone. Do "
-    "not execute anything.",
-)
-@click.option(
-    "--clone-wait-only/--no-clone-wait-only",
-    default=False,
-    show_default=True,
-    help="If specified, waits for an external process to clone the task",
-    hidden=True,
-)
-@click.option(
-    "--clone-run-id",
-    default=None,
-    help="Run id of the origin flow, if this task is part of a flow being resumed.",
-)
-@click.option(
-    "--with",
-    "decospecs",
-    multiple=True,
-    help="Add a decorator to this task. You can specify this "
-    "option multiple times to attach multiple decorators "
-    "to this task.",
-)
-@click.option(
-    "--ubf-context",
-    default="none",
-    type=click.Choice(["none", UBF_CONTROL, UBF_TASK]),
-    help="Provides additional context if this task is of type unbounded foreach.",
-)
-@click.option(
-    "--num-parallel",
-    default=0,
-    type=int,
-    help="Number of parallel instances of a step. Ignored in local mode (see parallel decorator code).",
-)
-@click.pass_context
-def step(
-    ctx,
-    step_name,
-    opt_tag=None,
-    run_id=None,
-    task_id=None,
-    input_paths=None,
-    input_paths_filename=None,
-    split_index=None,
-    opt_namespace=None,
-    retry_count=None,
-    max_user_code_retries=None,
-    clone_only=None,
-    clone_wait_only=False,
-    clone_run_id=None,
-    decospecs=None,
-    ubf_context="none",
-    num_parallel=None,
-):
-    if ubf_context == "none":
-        ubf_context = None
-    if opt_namespace is not None:
-        namespace(opt_namespace or None)
-
-    func = None
-    try:
-        func = getattr(ctx.obj.flow, step_name)
-    except:
-        raise CommandException("Step *%s* doesn't exist." % step_name)
-    if not func.is_step:
-        raise CommandException("Function *%s* is not a step." % step_name)
-    echo("Executing a step, *%s*" % step_name, fg="magenta", bold=False)
-
-    if decospecs:
-        decorators._attach_decorators_to_step(func, decospecs)
-
-    step_kwargs = ctx.params
-    # Remove argument `step_name` from `step_kwargs`.
-    step_kwargs.pop("step_name", None)
-    # Remove `opt_*` prefix from (some) option keys.
-    step_kwargs = dict(
-        [(k[4:], v) if k.startswith("opt_") else (k, v) for k, v in step_kwargs.items()]
-    )
-    cli_args._set_step_kwargs(step_kwargs)
-
-    ctx.obj.metadata.add_sticky_tags(tags=opt_tag)
-    if not input_paths and input_paths_filename:
-        with open(input_paths_filename, mode="r", encoding="utf-8") as f:
-            input_paths = f.read().strip(" \n\"'")
-
-    paths = decompress_list(input_paths) if input_paths else []
-
-    task = MetaflowTask(
-        ctx.obj.flow,
-        ctx.obj.flow_datastore,
-        ctx.obj.metadata,
-        ctx.obj.environment,
-        ctx.obj.echo,
-        ctx.obj.event_logger,
-        ctx.obj.monitor,
-        ubf_context,
-    )
-    if clone_only:
-        task.clone_only(
-            step_name,
-            run_id,
-            task_id,
-            clone_only,
-            retry_count,
-            wait_only=clone_wait_only,
-        )
-    else:
-        task.run_step(
-            step_name,
-            run_id,
-            task_id,
-            clone_run_id,
-            paths,
-            split_index,
-            retry_count,
-            max_user_code_retries,
-        )
-
-    echo("Success", fg="green", bold=True, indent=True)
-
-
-@parameters.add_custom_parameters(deploy_mode=False)
-@cli.command(help="Internal command to initialize a run.", hidden=True)
-@click.option(
-    "--run-id",
-    default=None,
-    required=True,
-    help="ID for one execution of all steps in the flow.",
-)
-@click.option(
-    "--task-id", default=None, required=True, help="ID for this instance of the step."
-)
-@click.option(
-    "--tag",
-    "tags",
-    multiple=True,
-    default=None,
-    help="Tags for this instance of the step.",
-)
-@click.pass_obj
-def init(obj, run_id=None, task_id=None, tags=None, **kwargs):
-    # init is a separate command instead of an option in 'step'
-    # since we need to capture user-specified parameters with
-    # @add_custom_parameters. Adding custom parameters to 'step'
-    # is not desirable due to the possibility of name clashes between
-    # user-specified parameters and our internal options. Note that
-    # user-specified parameters are often defined as environment
-    # variables.
-
-    obj.metadata.add_sticky_tags(tags=tags)
-
-    runtime = NativeRuntime(
-        obj.flow,
-        obj.graph,
-        obj.flow_datastore,
-        obj.metadata,
-        obj.environment,
-        obj.package,
-        obj.logger,
-        obj.entrypoint,
-        obj.event_logger,
-        obj.monitor,
-        run_id=run_id,
-    )
-    obj.flow._set_constants(obj.graph, kwargs)
-    runtime.persist_constants(task_id=task_id)
-
-
-def common_run_options(func):
-    @click.option(
-        "--tag",
-        "tags",
-        multiple=True,
-        default=None,
-        help="Annotate this run with the given tag. You can specify "
-        "this option multiple times to attach multiple tags in "
-        "the run.",
-    )
-    @click.option(
-        "--max-workers",
-        default=16,
-        show_default=True,
-        help="Maximum number of parallel processes.",
-    )
-    @click.option(
-        "--max-num-splits",
-        default=100,
-        show_default=True,
-        help="Maximum number of splits allowed in a foreach. This "
-        "is a safety check preventing bugs from triggering "
-        "thousands of steps inadvertently.",
-    )
-    @click.option(
-        "--max-log-size",
-        default=10,
-        show_default=True,
-        help="Maximum size of stdout and stderr captured in "
-        "megabytes. If a step outputs more than this to "
-        "stdout/stderr, its output will be truncated.",
-    )
-    @click.option(
-        "--with",
-        "decospecs",
-        multiple=True,
-        help="Add a decorator to all steps. You can specify this "
-        "option multiple times to attach multiple decorators "
-        "in steps.",
-    )
-    @click.option(
-        "--run-id-file",
-        default=None,
-        show_default=True,
-        type=str,
-        help="Write the ID of this run to the file specified.",
-    )
-    @wraps(func)
-    def wrapper(*args, **kwargs):
-        return func(*args, **kwargs)
-
-    return wrapper
-
-
-@click.option(
-    "--origin-run-id",
-    default=None,
-    help="ID of the run that should be resumed. By default, the "
-    "last run executed locally.",
-)
-@click.option(
-    "--run-id",
-    default=None,
-    help="Run ID for the new run. By default, a new run-id will be generated",
-    hidden=True,
-)
-@click.option(
-    "--clone-only/--no-clone-only",
-    default=False,
-    show_default=True,
-    help="Only clone tasks without continuing execution",
-    hidden=True,
-)
-@click.option(
-    "--reentrant/--no-reentrant",
-    default=False,
-    show_default=True,
-    hidden=True,
-    help="If specified, allows this call to be called in parallel",
-)
-@click.argument("step-to-rerun", required=False)
-@cli.command(help="Resume execution of a previous run of this flow.")
-@common_run_options
-@click.pass_obj
-def resume(
-    obj,
-    tags=None,
-    step_to_rerun=None,
-    origin_run_id=None,
-    run_id=None,
-    clone_only=False,
-    reentrant=False,
-    max_workers=None,
-    max_num_splits=None,
-    max_log_size=None,
-    decospecs=None,
-    run_id_file=None,
-):
-
-    before_run(obj, tags, decospecs + obj.environment.decospecs())
-
-    if origin_run_id is None:
-        origin_run_id = get_latest_run_id(obj.echo, obj.flow.name)
-        if origin_run_id is None:
-            raise CommandException(
-                "A previous run id was not found. Specify --origin-run-id."
-            )
-
-    if step_to_rerun is None:
-        clone_steps = set()
-    else:
-        # validate step name
-        if step_to_rerun not in obj.graph.nodes:
-            raise CommandException(
-                "invalid step name {0} specified, must be step present in "
-                "current form of execution graph. Valid step names include: {1}".format(
-                    step_to_rerun, ",".join(list(obj.graph.nodes.keys()))
-                )
-            )
-        clone_steps = {step_to_rerun}
-
-    if run_id:
-        # Run-ids that are provided by the metadata service are always integers.
-        # External providers or run-ids (like external schedulers) always need to
-        # be non-integers to avoid any clashes. This condition ensures this.
-        try:
-            int(run_id)
-        except:
-            pass
-        else:
-            raise CommandException("run-id %s cannot be an integer" % run_id)
-
-    runtime = NativeRuntime(
-        obj.flow,
-        obj.graph,
-        obj.flow_datastore,
-        obj.metadata,
-        obj.environment,
-        obj.package,
-        obj.logger,
-        obj.entrypoint,
-        obj.event_logger,
-        obj.monitor,
-        run_id=run_id,
-        clone_run_id=origin_run_id,
-        clone_only=clone_only,
-        reentrant=reentrant,
-        clone_steps=clone_steps,
-        max_workers=max_workers,
-        max_num_splits=max_num_splits,
-        max_log_size=max_log_size * 1024 * 1024,
-    )
-    write_run_id(run_id_file, runtime.run_id)
-    runtime.persist_constants()
-    runtime.execute()
-
-
-@parameters.add_custom_parameters(deploy_mode=True)
-@cli.command(help="Run the workflow locally.")
-@common_run_options
-@click.option(
-    "--namespace",
-    "user_namespace",
-    default=None,
-    help="Change namespace from the default (your username) to "
-    "the specified tag. Note that this option does not alter "
-    "tags assigned to the objects produced by this run, just "
-    "what existing objects are visible in the client API. You "
-    "can enable the global namespace with an empty string."
-    "--namespace=",
-)
-@click.pass_obj
-def run(
-    obj,
-    tags=None,
-    max_workers=None,
-    max_num_splits=None,
-    max_log_size=None,
-    decospecs=None,
-    run_id_file=None,
-    user_namespace=None,
-    **kwargs
-):
-
-    if user_namespace is not None:
-        namespace(user_namespace or None)
-    before_run(obj, tags, decospecs + obj.environment.decospecs())
-
-    runtime = NativeRuntime(
-        obj.flow,
-        obj.graph,
-        obj.flow_datastore,
-        obj.metadata,
-        obj.environment,
-        obj.package,
-        obj.logger,
-        obj.entrypoint,
-        obj.event_logger,
-        obj.monitor,
-        max_workers=max_workers,
-        max_num_splits=max_num_splits,
-        max_log_size=max_log_size * 1024 * 1024,
-    )
-    write_latest_run_id(obj, runtime.run_id)
-    write_run_id(run_id_file, runtime.run_id)
-
-    obj.flow._set_constants(obj.graph, kwargs)
-    runtime.persist_constants()
-    runtime.execute()
-
-
-def write_run_id(run_id_file, run_id):
-    if run_id_file is not None:
-        with open(run_id_file, "w") as f:
-            f.write(str(run_id))
-
-
-def before_run(obj, tags, decospecs):
-    validate_tags(tags)
-
-    # There's a --with option both at the top-level and for the run
-    # subcommand. Why?
-    #
-    # "run --with shoes" looks so much better than "--with shoes run".
-    # This is a very common use case of --with.
-    #
-    # A downside is that we need to have the following decorators handling
-    # in two places in this module and make sure _init_step_decorators
-    # doesn't get called twice.
-    if decospecs:
-        decorators._attach_decorators(obj.flow, decospecs)
-        obj.graph = FlowGraph(obj.flow.__class__)
-    obj.check(obj.graph, obj.flow, obj.environment, pylint=obj.pylint)
-    # obj.environment.init_environment(obj.logger)
-
-    decorators._init_step_decorators(
-        obj.flow, obj.graph, obj.environment, obj.flow_datastore, obj.logger
-    )
-
-    obj.metadata.add_sticky_tags(tags=tags)
-
-    # Package working directory only once per run.
-    # We explicitly avoid doing this in `start` since it is invoked for every
-    # step in the run.
-    obj.package = MetaflowPackage(
-        obj.flow, obj.environment, obj.echo, obj.package_suffixes
-    )
-
-
 @cli.command(help="Print the Metaflow version")
 @click.pass_obj
 def version(obj):
     echo_always(obj.version)
 
 
+# NOTE: add_decorator_options should be TL because it checks to make sure
+# that no option conflict with the ones below
 @decorators.add_decorator_options
+@config_options
 @click.command(
-    cls=click.CommandCollection,
-    sources=[cli] + plugins.get_plugin_cli(),
+    cls=LazyPluginCommandCollection,
+    sources=[cli],
+    lazy_sources=plugins.get_plugin_cli_path(),
     invoke_without_command=True,
 )
+# Quiet is eager to make sure it is available when processing --config options since
+# we need it to construct a context to pass to any DeployTimeField for the default
+# value.
 @click.option(
     "--quiet/--not-quiet",
     show_default=True,
     default=False,
     help="Suppress unnecessary messages",
+    is_eager=True,
 )
 @click.option(
     "--metadata",
@@ -920,12 +249,22 @@ def version(obj):
     type=click.Choice(["local"] + [m.TYPE for m in ENVIRONMENTS]),
     help="Execution environment type",
 )
+@click.option(
+    "--force-rebuild-environments/--no-force-rebuild-environments",
+    is_flag=True,
+    default=False,
+    hidden=True,
+    type=bool,
+    help="Explicitly rebuild the execution environments",
+)
+# See comment for --quiet
 @click.option(
     "--datastore",
     default=DEFAULT_DATASTORE,
     show_default=True,
     type=click.Choice([d.TYPE for d in DATASTORES]),
     help="Data backend type",
+    is_eager=True,
 )
 @click.option("--datastore-root", help="Root path for datastore")
 @click.option(
@@ -961,12 +300,22 @@ def version(obj):
     type=click.Choice(MONITOR_SIDECARS),
     help="Monitoring backend type",
 )
+@click.option(
+    "--local-config-file",
+    type=LocalFileInput(exists=True, readable=True, dir_okay=False, resolve_path=True),
+    required=False,
+    default=None,
+    help="A filename containing the dumped configuration values. Internal use only.",
+    hidden=True,
+    is_eager=True,
+)
 @click.pass_context
 def start(
     ctx,
     quiet=False,
     metadata=None,
     environment=None,
+    force_rebuild_environments=False,
     datastore=None,
     datastore_root=None,
     decospecs=None,
@@ -974,9 +323,11 @@ def start(
     pylint=None,
     event_logger=None,
     monitor=None,
+    local_config_file=None,
+    config=None,
+    config_value=None,
     **deco_options
 ):
-    global echo
     if quiet:
         echo = echo_dev_null
     else:
@@ -991,52 +342,144 @@ def start(
     echo(" executing *%s*" % ctx.obj.flow.name, fg="magenta", nl=False)
     echo(" for *%s*" % resolve_identity(), fg="magenta")
 
+    # Check if we need to setup the distribution finder (if running )
+    dist_info = MetaflowCodeContent.get_distribution_finder()
+    if dist_info:
+        sys.meta_path.append(dist_info)
+
+    # Setup the context
     cli_args._set_top_kwargs(ctx.params)
     ctx.obj.echo = echo
     ctx.obj.echo_always = echo_always
     ctx.obj.is_quiet = quiet
-    ctx.obj.graph = FlowGraph(ctx.obj.flow.__class__)
     ctx.obj.logger = logger
-    ctx.obj.check = _check
     ctx.obj.pylint = pylint
+    ctx.obj.check = functools.partial(_check, echo)
     ctx.obj.top_cli = cli
     ctx.obj.package_suffixes = package_suffixes.split(",")
-    ctx.obj.reconstruct_cli = _reconstruct_cli
+
+    ctx.obj.datastore_impl = [d for d in DATASTORES if d.TYPE == datastore][0]
+
+    if datastore_root is None:
+        datastore_root = ctx.obj.datastore_impl.get_datastore_root_from_config(
+            ctx.obj.echo
+        )
+    if datastore_root is None:
+        raise CommandException(
+            "Could not find the location of the datastore -- did you correctly set the "
+            "METAFLOW_DATASTORE_SYSROOT_%s environment variable?" % datastore.upper()
+        )
+
+    ctx.obj.datastore_impl.datastore_root = datastore_root
+
+    FlowDataStore.default_storage_impl = ctx.obj.datastore_impl
+
+    # At this point, we are able to resolve the user-configuration options so we can
+    # process all those decorators that the user added that will modify the flow based
+    # on those configurations. It is important to do this as early as possible since it
+    # actually modifies the flow itself
+
+    # When we process the options, the first one processed will return None and the
+    # second one processed will return the actual options. The order of processing
+    # depends on what (and in what order) the user specifies on the command line.
+    config_options = config or config_value
+
+    if (
+        hasattr(ctx, "saved_args")
+        and ctx.saved_args
+        and ctx.saved_args[0] == "resume"
+        and getattr(ctx.obj, "has_config_options", False)
+    ):
+        # In the case of resume, we actually need to load the configurations
+        # from the resumed run to process them. This can be slightly onerous so check
+        # if we need to in the first place
+        if getattr(ctx.obj, "has_cl_config_options", False):
+            raise click.UsageError(
+                "Cannot specify --config or --config-value with 'resume'"
+            )
+        # We now load the config artifacts from the original run id
+        run_id = None
+        try:
+            idx = ctx.saved_args.index("--origin-run-id")
+        except ValueError:
+            idx = -1
+        if idx >= 0:
+            run_id = ctx.saved_args[idx + 1]
+        else:
+            run_id = get_latest_run_id(ctx.obj.echo, ctx.obj.flow.name)
+        if run_id is None:
+            raise CommandException(
+                "A previous run id was not found. Specify --origin-run-id."
+            )
+        # We get the name of the parameters we need to load from the datastore -- these
+        # are accessed using the *variable* name and not necessarily the *parameter* name
+        config_var_names = []
+        config_param_names = []
+        for name, param in ctx.obj.flow._get_parameters():
+            if not param.IS_CONFIG_PARAMETER:
+                continue
+            config_var_names.append(name)
+            config_param_names.append(param.name)
+
+        # We just need a task datastore that will be thrown away -- we do this so
+        # we don't have to create the logger, monitor, etc.
+        debug.userconf_exec("Loading config parameters from run %s" % run_id)
+        for d in TaskDataStoreSet(
+            FlowDataStore(ctx.obj.flow.name),
+            run_id,
+            steps=["_parameters"],
+            prefetch_data_artifacts=config_var_names,
+        ):
+            param_ds = d
+
+        # We can now set the the CONFIGS value in the flow properly. This will overwrite
+        # anything that may have been passed in by default and we will use exactly what
+        # the original flow had. Note that these are accessed through the parameter name
+        ctx.obj.flow._flow_state[_FlowState.CONFIGS].clear()
+        d = ctx.obj.flow._flow_state[_FlowState.CONFIGS]
+        for param_name, var_name in zip(config_param_names, config_var_names):
+            val = param_ds[var_name]
+            debug.userconf_exec("Loaded config %s as: %s" % (param_name, val))
+            d[param_name] = val
+
+    elif getattr(ctx.obj, "delayed_config_exception", None):
+        # If we are not doing a resume, any exception we had parsing configs needs to
+        # be raised. For resume, since we ignore those options, we ignore the error.
+        raise ctx.obj.delayed_config_exception
+
+    # Init all values in the flow mutators and then process them
+    for decorator in ctx.obj.flow._flow_state.get(_FlowState.FLOW_MUTATORS, []):
+        decorator.external_init()
+
+    new_cls = ctx.obj.flow._process_config_decorators(config_options)
+    if new_cls:
+        ctx.obj.flow = new_cls(use_cli=False)
+
+    ctx.obj.graph = ctx.obj.flow._graph
 
     ctx.obj.environment = [
         e for e in ENVIRONMENTS + [MetaflowEnvironment] if e.TYPE == environment
     ][0](ctx.obj.flow)
-    ctx.obj.environment.validate_environment(echo, datastore)
+    # set force rebuild flag for environments that support it.
+    ctx.obj.environment._force_rebuild = force_rebuild_environments
+    ctx.obj.environment.validate_environment(ctx.obj.logger, datastore)
 
     ctx.obj.event_logger = LOGGING_SIDECARS[event_logger](
         flow=ctx.obj.flow, env=ctx.obj.environment
     )
     ctx.obj.event_logger.start()
+    _system_logger.init_system_logger(ctx.obj.flow.name, ctx.obj.event_logger)
 
     ctx.obj.monitor = MONITOR_SIDECARS[monitor](
         flow=ctx.obj.flow, env=ctx.obj.environment
     )
     ctx.obj.monitor.start()
+    _system_monitor.init_system_monitor(ctx.obj.flow.name, ctx.obj.monitor)
 
     ctx.obj.metadata = [m for m in METADATA_PROVIDERS if m.TYPE == metadata][0](
         ctx.obj.environment, ctx.obj.flow, ctx.obj.event_logger, ctx.obj.monitor
     )
 
-    ctx.obj.datastore_impl = [d for d in DATASTORES if d.TYPE == datastore][0]
-
-    if datastore_root is None:
-        datastore_root = ctx.obj.datastore_impl.get_datastore_root_from_config(
-            ctx.obj.echo
-        )
-    if datastore_root is None:
-        raise CommandException(
-            "Could not find the location of the datastore -- did you correctly set the "
-            "METAFLOW_DATASTORE_SYSROOT_%s environment variable?" % datastore.upper()
-        )
-
-    ctx.obj.datastore_impl.datastore_root = datastore_root
-
-    FlowDataStore.default_storage_impl = ctx.obj.datastore_impl
     ctx.obj.flow_datastore = FlowDataStore(
         ctx.obj.flow.name,
         ctx.obj.environment,
@@ -1045,6 +488,10 @@ def start(
         ctx.obj.monitor,
     )
 
+    ctx.obj.config_options = config_options
+
+    decorators._init(ctx.obj.flow)
+
     # It is important to initialize flow decorators early as some of the
     # things they provide may be used by some of the objects initialized after.
     decorators._init_flow_decorators(
@@ -1058,19 +505,55 @@ def start(
         deco_options,
     )
 
-    if decospecs:
-        decorators._attach_decorators(ctx.obj.flow, decospecs)
+    # In the case of run/resume, we will want to apply the TL decospecs
+    # *after* the run decospecs so that they don't take precedence. In other
+    # words, for the same decorator, we want `myflow.py run --with foo` to
+    # take precedence over any other `foo` decospec
+
+    # Note that top-level decospecs are used primarily with non run/resume
+    # options as well as with the airflow/argo/sfn integrations which pass
+    # all the decospecs (the ones from top-level but also the ones from the
+    # run/resume level) through the tl decospecs.
+    ctx.obj.tl_decospecs = list(decospecs or [])
 
     # initialize current and parameter context for deploy-time parameters
     current._set_env(flow=ctx.obj.flow, is_running=False)
     parameters.set_parameter_context(
-        ctx.obj.flow.name, ctx.obj.echo, ctx.obj.flow_datastore
+        ctx.obj.flow.name,
+        ctx.obj.echo,
+        ctx.obj.flow_datastore,
+        {
+            k: ConfigValue(v) if v is not None else None
+            for k, v in ctx.obj.flow.__class__._flow_state.get(
+                _FlowState.CONFIGS, {}
+            ).items()
+        },
     )
 
-    if ctx.invoked_subcommand not in ("run", "resume"):
+    if (
+        hasattr(ctx, "saved_args")
+        and ctx.saved_args
+        and ctx.saved_args[0] not in ("run", "resume")
+    ):
         # run/resume are special cases because they can add more decorators with --with,
         # so they have to take care of themselves.
-        decorators._attach_decorators(ctx.obj.flow, ctx.obj.environment.decospecs())
+
+        all_decospecs = ctx.obj.tl_decospecs + list(
+            ctx.obj.environment.decospecs() or []
+        )
+
+        # We add the default decospecs for everything except init and step since in those
+        # cases, the decospecs will already have been handled by either a run/resume
+        # or a scheduler setting them up in their own way.
+        if ctx.saved_args[0] not in ("step", "init"):
+            all_decospecs += DEFAULT_DECOSPECS.split()
+        if all_decospecs:
+            decorators._attach_decorators(ctx.obj.flow, all_decospecs)
+            decorators._init(ctx.obj.flow)
+            # Regenerate graph if we attached more decorators
+            ctx.obj.flow.__class__._init_graph()
+            ctx.obj.graph = ctx.obj.flow._graph
+
         decorators._init_step_decorators(
             ctx.obj.flow,
             ctx.obj.graph,
@@ -1078,27 +561,18 @@ def start(
             ctx.obj.flow_datastore,
             ctx.obj.logger,
         )
+
+        # Check the graph again (mutators may have changed it)
+        ctx.obj.graph = ctx.obj.flow._graph
+
         # TODO (savin): Enable lazy instantiation of package
         ctx.obj.package = None
+
     if ctx.invoked_subcommand is None:
         ctx.invoke(check)
 
 
-def _reconstruct_cli(params):
-    for k, v in params.items():
-        if v:
-            if k == "decospecs":
-                k = "with"
-            k = k.replace("_", "-")
-            if not isinstance(v, tuple):
-                v = [v]
-            for value in v:
-                yield "--%s" % k
-                if not isinstance(value, bool):
-                    yield str(value)
-
-
-def _check(graph, flow, environment, pylint=True, warnings=False, **kwargs):
+def _check(echo, graph, flow, environment, pylint=True, warnings=False, **kwargs):
     echo("Validating your flow...", fg="magenta", bold=False)
     linter = lint.linter
     # TODO set linter settings
@@ -1137,10 +611,13 @@ def _check(graph, flow, environment, pylint=True, warnings=False, **kwargs):
 
 def print_metaflow_exception(ex):
     echo_always(ex.headline, indent=True, nl=False, bold=True)
-    if ex.line_no is None:
-        echo_always(":")
-    else:
-        echo_always(" on line %d:" % ex.line_no, bold=True)
+    location = ""
+    if ex.source_file is not None:
+        location += " in file %s" % ex.source_file
+    if ex.line_no is not None:
+        location += " on line %d" % ex.line_no
+    location += ":"
+    echo_always(location, bold=True)
     echo_always(ex.message, indent=True, bold=False, padding_bottom=True)
 
 
@@ -1172,7 +649,7 @@ def main(flow, args=None, handle_exceptions=True, entrypoint=None):
             start(auto_envvar_prefix="METAFLOW", obj=state)
         else:
             try:
-                start.main(args=args, obj=state, auto_envvar_prefix="METAFLOW")
+                start(args=args, obj=state, auto_envvar_prefix="METAFLOW")
             except SystemExit as e:
                 return e.code
     except MetaflowException as x:
diff --git a/metaflow/cli_args.py b/metaflow/cli_args.py
index 40918f984ff..ae58a2f6991 100644
--- a/metaflow/cli_args.py
+++ b/metaflow/cli_args.py
@@ -12,7 +12,14 @@
 # well as the converting of options in runtime.py. We should make it so that we
 # can properly shlex things and un-shlex when using. Ideally this should all be
 # done in one place.
+#
+# NOTE: There is an important between these two as well:
+#  - this one will include local_config_file whereas the other one WILL NOT.
+#    This is because this is used when constructing the parallel UBF command which
+#    executes locally and therefore needs the local_config_file but the other (remote)
+#    commands do not.
 
+from .user_configs.config_options import ConfigInput
 from .util import to_unicode
 
 
@@ -65,6 +72,16 @@ def _options(mapping):
             # keyword in Python, so we call it 'decospecs' in click args
             if k == "decospecs":
                 k = "with"
+            if k in ("config", "config_value"):
+                # Special handling here since we gather them all in one option but actually
+                # need to send them one at a time using --config-value  kv..
+                # Note it can be either config or config_value depending
+                # on click processing order.
+                for config_name in v.keys():
+                    yield "--config-value"
+                    yield to_unicode(config_name)
+                    yield to_unicode(ConfigInput.make_key_name(config_name))
+                continue
             k = k.replace("_", "-")
             v = v if isinstance(v, (list, tuple, set)) else [v]
             for value in v:
diff --git a/metaflow/cli_components/__init__.py b/metaflow/cli_components/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/metaflow/cli_components/dump_cmd.py b/metaflow/cli_components/dump_cmd.py
new file mode 100644
index 00000000000..2038d21d771
--- /dev/null
+++ b/metaflow/cli_components/dump_cmd.py
@@ -0,0 +1,96 @@
+import pickle
+
+from metaflow._vendor import click
+
+from ..cli import echo_always, echo_dev_null
+from ..datastore import TaskDataStoreSet
+from ..exception import CommandException
+
+
+@click.command(
+    help="Get data artifacts of a task or all tasks in a step. "
+    "The format for input-path is either / or "
+    "//."
+)
+@click.argument("input-path")
+@click.option(
+    "--private/--no-private",
+    default=False,
+    show_default=True,
+    help="Show also private attributes.",
+)
+@click.option(
+    "--max-value-size",
+    default=1000,
+    show_default=True,
+    type=int,
+    help="Show only values that are smaller than this number. "
+    "Set to 0 to see only keys.",
+)
+@click.option(
+    "--include",
+    type=str,
+    default="",
+    help="Include only artifacts in the given comma-separated list.",
+)
+@click.option(
+    "--file", type=str, default=None, help="Serialize artifacts in the given file."
+)
+@click.pass_obj
+def dump(obj, input_path, private=None, max_value_size=None, include=None, file=None):
+
+    if obj.is_quiet:
+        echo = echo_dev_null
+    else:
+        echo = echo_always
+
+    output = {}
+    kwargs = {
+        "show_private": private,
+        "max_value_size": max_value_size,
+        "include": {t for t in include.split(",") if t},
+    }
+
+    # Pathspec can either be run_id/step_name or run_id/step_name/task_id.
+    parts = input_path.split("/")
+    if len(parts) == 2:
+        run_id, step_name = parts
+        task_id = None
+    elif len(parts) == 3:
+        run_id, step_name, task_id = parts
+    else:
+        raise CommandException(
+            "input_path should either be run_id/step_name or run_id/step_name/task_id"
+        )
+
+    datastore_set = TaskDataStoreSet(
+        obj.flow_datastore,
+        run_id,
+        steps=[step_name],
+        prefetch_data_artifacts=kwargs.get("include"),
+    )
+    if task_id:
+        ds_list = [datastore_set.get_with_pathspec(input_path)]
+    else:
+        ds_list = list(datastore_set)  # get all tasks
+
+    for ds in ds_list:
+        echo(
+            "Dumping output of run_id=*{run_id}* "
+            "step=*{step}* task_id=*{task_id}*".format(
+                run_id=ds.run_id, step=ds.step_name, task_id=ds.task_id
+            ),
+            fg="magenta",
+        )
+
+        if file is None:
+            echo_always(
+                ds.format(**kwargs), highlight="green", highlight_bold=False, err=False
+            )
+        else:
+            output[ds.pathspec] = ds.to_dict(**kwargs)
+
+    if file is not None:
+        with open(file, "wb") as f:
+            pickle.dump(output, f, protocol=pickle.HIGHEST_PROTOCOL)
+        echo("Artifacts written to *%s*" % file)
diff --git a/metaflow/cli_components/init_cmd.py b/metaflow/cli_components/init_cmd.py
new file mode 100644
index 00000000000..92e18ee9e57
--- /dev/null
+++ b/metaflow/cli_components/init_cmd.py
@@ -0,0 +1,52 @@
+from metaflow._vendor import click
+
+from .. import parameters
+from ..runtime import NativeRuntime
+
+
+@parameters.add_custom_parameters(deploy_mode=False)
+@click.command(help="Internal command to initialize a run.", hidden=True)
+@click.option(
+    "--run-id",
+    default=None,
+    required=True,
+    help="ID for one execution of all steps in the flow.",
+)
+@click.option(
+    "--task-id", default=None, required=True, help="ID for this instance of the step."
+)
+@click.option(
+    "--tag",
+    "tags",
+    multiple=True,
+    default=None,
+    help="Tags for this instance of the step.",
+)
+@click.pass_obj
+def init(obj, run_id=None, task_id=None, tags=None, **kwargs):
+    # init is a separate command instead of an option in 'step'
+    # since we need to capture user-specified parameters with
+    # @add_custom_parameters. Adding custom parameters to 'step'
+    # is not desirable due to the possibility of name clashes between
+    # user-specified parameters and our internal options. Note that
+    # user-specified parameters are often defined as environment
+    # variables.
+
+    obj.metadata.add_sticky_tags(tags=tags)
+
+    runtime = NativeRuntime(
+        obj.flow,
+        obj.graph,
+        obj.flow_datastore,
+        obj.metadata,
+        obj.environment,
+        obj.package,
+        obj.logger,
+        obj.entrypoint,
+        obj.event_logger,
+        obj.monitor,
+        run_id=run_id,
+        skip_decorator_hooks=True,
+    )
+    obj.flow._set_constants(obj.graph, kwargs, obj.config_options)
+    runtime.persist_constants(task_id=task_id)
diff --git a/metaflow/cli_components/run_cmds.py b/metaflow/cli_components/run_cmds.py
new file mode 100644
index 00000000000..d44f97c52ac
--- /dev/null
+++ b/metaflow/cli_components/run_cmds.py
@@ -0,0 +1,388 @@
+import json
+
+from functools import wraps
+
+from metaflow._vendor import click
+
+from .. import decorators, namespace, parameters, tracing
+from ..exception import CommandException
+from ..graph import FlowGraph
+from ..metaflow_current import current
+from ..metaflow_config import DEFAULT_DECOSPECS, FEAT_ALWAYS_UPLOAD_CODE_PACKAGE
+from ..package import MetaflowPackage
+from ..runtime import NativeRuntime
+from ..system import _system_logger
+
+from ..tagging_util import validate_tags
+from ..util import get_latest_run_id, write_latest_run_id
+
+
+def before_run(obj, tags, decospecs):
+    validate_tags(tags)
+
+    # There's a --with option both at the top-level and for the run
+    # subcommand. Why?
+    #
+    # "run --with shoes" looks so much better than "--with shoes run".
+    # This is a very common use case of --with.
+    #
+    # A downside is that we need to have the following decorators handling
+    # in two places in this module and make sure _init_step_decorators
+    # doesn't get called twice.
+
+    # We want the order to be the following:
+    # - run level decospecs
+    # - top level decospecs
+    # - environment decospecs
+    all_decospecs = (
+        list(decospecs or [])
+        + obj.tl_decospecs
+        + list(obj.environment.decospecs() or [])
+    )
+    if all_decospecs:
+        # These decospecs are the ones from run/resume PLUS the ones from the
+        # environment (for example the @conda)
+        decorators._attach_decorators(obj.flow, all_decospecs)
+        decorators._init(obj.flow)
+        # Regenerate graph if we attached more decorators
+        obj.flow.__class__._init_graph()
+        obj.graph = obj.flow._graph
+
+    obj.check(obj.graph, obj.flow, obj.environment, pylint=obj.pylint)
+    # obj.environment.init_environment(obj.logger)
+
+    decorators._init_step_decorators(
+        obj.flow, obj.graph, obj.environment, obj.flow_datastore, obj.logger
+    )
+    # Re-read graph since it may have been modified by mutators
+    obj.graph = obj.flow._graph
+
+    obj.metadata.add_sticky_tags(tags=tags)
+
+    # Package working directory only once per run.
+    # We explicitly avoid doing this in `start` since it is invoked for every
+    # step in the run.
+    obj.package = MetaflowPackage(
+        obj.flow,
+        obj.environment,
+        obj.echo,
+        suffixes=obj.package_suffixes,
+        flow_datastore=obj.flow_datastore if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE else None,
+    )
+
+
+def write_file(file_path, content):
+    if file_path is not None:
+        with open(file_path, "w", encoding="utf-8") as f:
+            f.write(str(content))
+
+
+def config_callback(ctx, param, value):
+    # Callback to:
+    #  - read  the Click auto_envvar variable from both the
+    #    environment AND the configuration
+    #  - merge that value with the value passed in the command line (value)
+    #  - return the value as a tuple
+    # Note that this function gets called even if there is no option passed on the
+    # command line.
+    # NOTE: Assumes that ctx.auto_envvar_prefix is set to METAFLOW (same as in
+    # from_conf)
+
+    # Read decospecs options from the environment (METAFLOW_DEFAULT_DECOSPECS=...)
+    # and merge them with the one provided as --with.
+    splits = DEFAULT_DECOSPECS.split()
+    return tuple(list(value) + splits)
+
+
+def common_run_options(func):
+    @click.option(
+        "--tag",
+        "tags",
+        multiple=True,
+        default=None,
+        help="Annotate this run with the given tag. You can specify "
+        "this option multiple times to attach multiple tags in "
+        "the run.",
+    )
+    @click.option(
+        "--max-workers",
+        default=16,
+        show_default=True,
+        help="Maximum number of parallel processes.",
+    )
+    @click.option(
+        "--max-num-splits",
+        default=100,
+        show_default=True,
+        help="Maximum number of splits allowed in a foreach. This "
+        "is a safety check preventing bugs from triggering "
+        "thousands of steps inadvertently.",
+    )
+    @click.option(
+        "--max-log-size",
+        default=10,
+        show_default=True,
+        help="Maximum size of stdout and stderr captured in "
+        "megabytes. If a step outputs more than this to "
+        "stdout/stderr, its output will be truncated.",
+    )
+    @click.option(
+        "--with",
+        "decospecs",
+        multiple=True,
+        help="Add a decorator to all steps. You can specify this "
+        "option multiple times to attach multiple decorators "
+        "in steps.",
+        callback=config_callback,
+    )
+    @click.option(
+        "--run-id-file",
+        default=None,
+        show_default=True,
+        type=str,
+        help="Write the ID of this run to the file specified.",
+    )
+    @click.option(
+        "--runner-attribute-file",
+        default=None,
+        show_default=True,
+        type=str,
+        help="Write the metadata and pathspec of this run to the file specified. Used internally for Metaflow's Runner API.",
+    )
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        return func(*args, **kwargs)
+
+    return wrapper
+
+
+@click.option(
+    "--origin-run-id",
+    default=None,
+    help="ID of the run that should be resumed. By default, the "
+    "last run executed locally.",
+)
+@click.option(
+    "--run-id",
+    default=None,
+    help="Run ID for the new run. By default, a new run-id will be generated",
+    hidden=True,
+)
+@click.option(
+    "--clone-only/--no-clone-only",
+    default=False,
+    show_default=True,
+    help="Only clone tasks without continuing execution",
+    hidden=True,
+)
+@click.option(
+    "--reentrant/--no-reentrant",
+    default=False,
+    show_default=True,
+    hidden=True,
+    help="If specified, allows this call to be called in parallel",
+)
+@click.option(
+    "--resume-identifier",
+    default=None,
+    show_default=True,
+    hidden=True,
+    help="If specified, it identifies the task that started this resume call. It is in the form of {step_name}-{task_id}",
+)
+@click.argument("step-to-rerun", required=False)
+@click.command(help="Resume execution of a previous run of this flow.")
+@tracing.cli("cli/resume")
+@common_run_options
+@click.pass_obj
+def resume(
+    obj,
+    tags=None,
+    step_to_rerun=None,
+    origin_run_id=None,
+    run_id=None,
+    clone_only=False,
+    reentrant=False,
+    max_workers=None,
+    max_num_splits=None,
+    max_log_size=None,
+    decospecs=None,
+    run_id_file=None,
+    resume_identifier=None,
+    runner_attribute_file=None,
+):
+    before_run(obj, tags, decospecs)
+
+    if origin_run_id is None:
+        origin_run_id = get_latest_run_id(obj.echo, obj.flow.name)
+        if origin_run_id is None:
+            raise CommandException(
+                "A previous run id was not found. Specify --origin-run-id."
+            )
+
+    if step_to_rerun is None:
+        steps_to_rerun = set()
+    else:
+        # validate step name
+        if step_to_rerun not in obj.graph.nodes:
+            raise CommandException(
+                "invalid step name {0} specified, must be step present in "
+                "current form of execution graph. Valid step names include: {1}".format(
+                    step_to_rerun, ",".join(list(obj.graph.nodes.keys()))
+                )
+            )
+        steps_to_rerun = {step_to_rerun}
+
+    if run_id:
+        # Run-ids that are provided by the metadata service are always integers.
+        # External providers or run-ids (like external schedulers) always need to
+        # be non-integers to avoid any clashes. This condition ensures this.
+        try:
+            int(run_id)
+        except:
+            pass
+        else:
+            raise CommandException("run-id %s cannot be an integer" % run_id)
+
+    runtime = NativeRuntime(
+        obj.flow,
+        obj.graph,
+        obj.flow_datastore,
+        obj.metadata,
+        obj.environment,
+        obj.package,
+        obj.logger,
+        obj.entrypoint,
+        obj.event_logger,
+        obj.monitor,
+        run_id=run_id,
+        clone_run_id=origin_run_id,
+        clone_only=clone_only,
+        reentrant=reentrant,
+        steps_to_rerun=steps_to_rerun,
+        max_workers=max_workers,
+        max_num_splits=max_num_splits,
+        max_log_size=max_log_size * 1024 * 1024,
+        resume_identifier=resume_identifier,
+    )
+    write_file(run_id_file, runtime.run_id)
+    runtime.print_workflow_info()
+
+    runtime.persist_constants()
+
+    if runner_attribute_file:
+        with open(runner_attribute_file, "w", encoding="utf-8") as f:
+            json.dump(
+                {
+                    "run_id": runtime.run_id,
+                    "flow_name": obj.flow.name,
+                    "metadata": obj.metadata.metadata_str(),
+                },
+                f,
+            )
+
+    # We may skip clone-only resume if this is not a resume leader,
+    # and clone is already complete.
+    if runtime.should_skip_clone_only_execution():
+        return
+
+    current._update_env(
+        {
+            "run_id": runtime.run_id,
+        }
+    )
+    _system_logger.log_event(
+        level="info",
+        module="metaflow.resume",
+        name="start",
+        payload={
+            "msg": "Resuming run",
+        },
+    )
+
+    with runtime.run_heartbeat():
+        if clone_only:
+            runtime.clone_original_run()
+        else:
+            runtime.clone_original_run(generate_task_obj=True, verbose=False)
+            runtime.execute()
+
+
+@parameters.add_custom_parameters(deploy_mode=True)
+@click.command(help="Run the workflow locally.")
+@tracing.cli("cli/run")
+@common_run_options
+@click.option(
+    "--namespace",
+    "user_namespace",
+    default=None,
+    help="Change namespace from the default (your username) to "
+    "the specified tag. Note that this option does not alter "
+    "tags assigned to the objects produced by this run, just "
+    "what existing objects are visible in the client API. You "
+    "can enable the global namespace with an empty string."
+    "--namespace=",
+)
+@click.pass_obj
+def run(
+    obj,
+    tags=None,
+    max_workers=None,
+    max_num_splits=None,
+    max_log_size=None,
+    decospecs=None,
+    run_id_file=None,
+    runner_attribute_file=None,
+    user_namespace=None,
+    **kwargs
+):
+    if user_namespace is not None:
+        namespace(user_namespace or None)
+    before_run(obj, tags, decospecs)
+
+    runtime = NativeRuntime(
+        obj.flow,
+        obj.graph,
+        obj.flow_datastore,
+        obj.metadata,
+        obj.environment,
+        obj.package,
+        obj.logger,
+        obj.entrypoint,
+        obj.event_logger,
+        obj.monitor,
+        max_workers=max_workers,
+        max_num_splits=max_num_splits,
+        max_log_size=max_log_size * 1024 * 1024,
+    )
+    write_latest_run_id(obj, runtime.run_id)
+    write_file(run_id_file, runtime.run_id)
+
+    obj.flow._set_constants(obj.graph, kwargs, obj.config_options)
+    current._update_env(
+        {
+            "run_id": runtime.run_id,
+        }
+    )
+    _system_logger.log_event(
+        level="info",
+        module="metaflow.run",
+        name="start",
+        payload={
+            "msg": "Starting run",
+        },
+    )
+
+    runtime.print_workflow_info()
+    runtime.persist_constants()
+    if runner_attribute_file:
+        with open(runner_attribute_file, "w", encoding="utf-8") as f:
+            json.dump(
+                {
+                    "run_id": runtime.run_id,
+                    "flow_name": obj.flow.name,
+                    "metadata": obj.metadata.metadata_str(),
+                },
+                f,
+            )
+    with runtime.run_heartbeat():
+        runtime.execute()
diff --git a/metaflow/cli_components/step_cmd.py b/metaflow/cli_components/step_cmd.py
new file mode 100644
index 00000000000..f4bef099e42
--- /dev/null
+++ b/metaflow/cli_components/step_cmd.py
@@ -0,0 +1,178 @@
+from metaflow._vendor import click
+
+from .. import decorators, namespace
+from ..cli import echo_always, echo_dev_null
+from ..cli_args import cli_args
+from ..exception import CommandException
+from ..task import MetaflowTask
+from ..unbounded_foreach import UBF_CONTROL, UBF_TASK
+from ..util import decompress_list
+import metaflow.tracing as tracing
+
+
+@click.command(help="Internal command to execute a single task.", hidden=True)
+@tracing.cli("cli/step")
+@click.argument("step-name")
+@click.option(
+    "--run-id",
+    default=None,
+    required=True,
+    help="ID for one execution of all steps in the flow.",
+)
+@click.option(
+    "--task-id",
+    default=None,
+    required=True,
+    show_default=True,
+    help="ID for this instance of the step.",
+)
+@click.option(
+    "--input-paths",
+    help="A comma-separated list of pathspecs specifying inputs for this step.",
+)
+@click.option(
+    "--input-paths-filename",
+    type=click.Path(exists=True, readable=True, dir_okay=False, resolve_path=True),
+    help="A filename containing the argument typically passed to `input-paths`",
+    hidden=True,
+)
+@click.option(
+    "--split-index",
+    type=int,
+    default=None,
+    show_default=True,
+    help="Index of this foreach split.",
+)
+@click.option(
+    "--tag",
+    "opt_tag",
+    multiple=True,
+    default=None,
+    help="Annotate this run with the given tag. You can specify "
+    "this option multiple times to attach multiple tags in "
+    "the task.",
+)
+@click.option(
+    "--namespace",
+    "opt_namespace",
+    default=None,
+    help="Change namespace from the default (your username) to the specified tag.",
+)
+@click.option(
+    "--retry-count",
+    default=0,
+    help="How many times we have attempted to run this task.",
+)
+@click.option(
+    "--max-user-code-retries",
+    default=0,
+    help="How many times we should attempt running the user code.",
+)
+@click.option(
+    "--clone-only",
+    default=None,
+    help="Pathspec of the origin task for this task to clone. Do "
+    "not execute anything.",
+)
+@click.option(
+    "--clone-run-id",
+    default=None,
+    help="Run id of the origin flow, if this task is part of a flow being resumed.",
+)
+@click.option(
+    "--ubf-context",
+    default="none",
+    type=click.Choice(["none", UBF_CONTROL, UBF_TASK]),
+    help="Provides additional context if this task is of type unbounded foreach.",
+)
+@click.option(
+    "--num-parallel",
+    default=0,
+    type=int,
+    help="Number of parallel instances of a step. Ignored in local mode (see parallel decorator code).",
+)
+@click.pass_context
+def step(
+    ctx,
+    step_name,
+    opt_tag=None,
+    run_id=None,
+    task_id=None,
+    input_paths=None,
+    input_paths_filename=None,
+    split_index=None,
+    opt_namespace=None,
+    retry_count=None,
+    max_user_code_retries=None,
+    clone_only=None,
+    clone_run_id=None,
+    ubf_context="none",
+    num_parallel=None,
+):
+
+    if ctx.obj.is_quiet:
+        echo = echo_dev_null
+    else:
+        echo = echo_always
+
+    if ubf_context == "none":
+        ubf_context = None
+    if opt_namespace is not None:
+        namespace(opt_namespace or None)
+
+    func = None
+    try:
+        func = getattr(ctx.obj.flow, step_name)
+    except:
+        raise CommandException("Step *%s* doesn't exist." % step_name)
+    if not func.is_step:
+        raise CommandException("Function *%s* is not a step." % step_name)
+    echo("Executing a step, *%s*" % step_name, fg="magenta", bold=False)
+
+    step_kwargs = ctx.params
+    # Remove argument `step_name` from `step_kwargs`.
+    step_kwargs.pop("step_name", None)
+    # Remove `opt_*` prefix from (some) option keys.
+    step_kwargs = dict(
+        [(k[4:], v) if k.startswith("opt_") else (k, v) for k, v in step_kwargs.items()]
+    )
+    cli_args._set_step_kwargs(step_kwargs)
+
+    ctx.obj.metadata.add_sticky_tags(tags=opt_tag)
+    if not input_paths and input_paths_filename:
+        with open(input_paths_filename, mode="r", encoding="utf-8") as f:
+            input_paths = f.read().strip(" \n\"'")
+
+    paths = decompress_list(input_paths) if input_paths else []
+
+    task = MetaflowTask(
+        ctx.obj.flow,
+        ctx.obj.flow_datastore,
+        ctx.obj.metadata,
+        ctx.obj.environment,
+        ctx.obj.echo,
+        ctx.obj.event_logger,
+        ctx.obj.monitor,
+        ubf_context,
+    )
+    if clone_only:
+        task.clone_only(
+            step_name,
+            run_id,
+            task_id,
+            clone_only,
+            retry_count,
+        )
+    else:
+        task.run_step(
+            step_name,
+            run_id,
+            task_id,
+            clone_run_id,
+            paths,
+            split_index,
+            retry_count,
+            max_user_code_retries,
+        )
+
+    echo("Success", fg="green", bold=True, indent=True)
diff --git a/metaflow/cli_components/utils.py b/metaflow/cli_components/utils.py
new file mode 100644
index 00000000000..88c0684c1f4
--- /dev/null
+++ b/metaflow/cli_components/utils.py
@@ -0,0 +1,140 @@
+import importlib
+from metaflow._vendor import click
+from metaflow.extension_support.plugins import get_plugin
+
+
+class LazyPluginCommandCollection(click.CommandCollection):
+    # lazy_source should only point to things that are resolved as CLI plugins.
+    def __init__(self, *args, lazy_sources=None, **kwargs):
+        super().__init__(*args, **kwargs)
+        # lazy_sources is a list of strings in the form
+        # "{plugin_name}" -> "{module-name}.{command-object-name}"
+        self.lazy_sources = lazy_sources or {}
+        self._lazy_loaded = {}
+
+    def invoke(self, ctx):
+        # NOTE: This is copied from MultiCommand.invoke. The change is that we
+        # behave like chain in the sense that we evaluate the subcommand *after*
+        # invoking the base command but we don't chain the commands like self.chain
+        # would otherwise indicate.
+        # The goal of this is to make sure that the first command is properly executed
+        # *first* prior to loading the other subcommands. It's more a lazy_subcommand_load
+        # than a chain.
+        # Look for CHANGE HERE in this code to see where the changes are made.
+        # If click is updated, this may also need to be updated. This version is for
+        # click 7.1.2.
+        def _process_result(value):
+            if self.result_callback is not None:
+                value = ctx.invoke(self.result_callback, value, **ctx.params)
+            return value
+
+        if not ctx.protected_args:
+            # If we are invoked without command the chain flag controls
+            # how this happens.  If we are not in chain mode, the return
+            # value here is the return value of the command.
+            # If however we are in chain mode, the return value is the
+            # return value of the result processor invoked with an empty
+            # list (which means that no subcommand actually was executed).
+            if self.invoke_without_command:
+                # CHANGE HERE: We behave like self.chain = False here
+
+                # if not self.chain:
+                return click.Command.invoke(self, ctx)
+                # with ctx:
+                #    click.Command.invoke(self, ctx)
+                #    return _process_result([])
+
+            ctx.fail("Missing command.")
+
+        # Fetch args back out
+        args = ctx.protected_args + ctx.args
+        ctx.args = []
+        ctx.protected_args = []
+        # CHANGE HERE: Add saved_args so we have access to it in the command to be
+        # able to infer what we are calling next
+        ctx.saved_args = args
+
+        # If we're not in chain mode, we only allow the invocation of a
+        # single command but we also inform the current context about the
+        # name of the command to invoke.
+        # CHANGE HERE: We change this block to do the invoke *before* the resolve_command
+        # Make sure the context is entered so we do not clean up
+        # resources until the result processor has worked.
+        with ctx:
+            ctx.invoked_subcommand = "*" if args else None
+            click.Command.invoke(self, ctx)
+            cmd_name, cmd, args = self.resolve_command(ctx, args)
+            sub_ctx = cmd.make_context(cmd_name, args, parent=ctx)
+            with sub_ctx:
+                return _process_result(sub_ctx.command.invoke(sub_ctx))
+
+        # CHANGE HERE: Removed all the part of chain mode.
+
+    def list_commands(self, ctx):
+        base = super().list_commands(ctx)
+        for source_name, source in self.lazy_sources.items():
+            subgroup = self._lazy_load(source_name, source)
+            base.extend(subgroup.list_commands(ctx))
+        return base
+
+    def get_command(self, ctx, cmd_name):
+        base_cmd = super().get_command(ctx, cmd_name)
+        if base_cmd is not None:
+            return base_cmd
+        for source_name, source in self.lazy_sources.items():
+            subgroup = self._lazy_load(source_name, source)
+            cmd = subgroup.get_command(ctx, cmd_name)
+            if cmd is not None:
+                return cmd
+        return None
+
+    def _lazy_load(self, source_name, source_path):
+        if source_name in self._lazy_loaded:
+            return self._lazy_loaded[source_name]
+        cmd_object = get_plugin("cli", source_path, source_name)
+        if not isinstance(cmd_object, click.Group):
+            raise ValueError(
+                f"Lazy loading of {source_name} failed by returning "
+                "a non-group object"
+            )
+        self._lazy_loaded[source_name] = cmd_object
+        return cmd_object
+
+
+class LazyGroup(click.Group):
+    def __init__(self, *args, lazy_subcommands=None, **kwargs):
+        super().__init__(*args, **kwargs)
+        # lazy_subcommands is a list of strings in the form
+        # "{command} -> "{module-name}.{command-object-name}"
+        self.lazy_subcommands = lazy_subcommands or {}
+        self._lazy_loaded = {}
+
+    def list_commands(self, ctx):
+        base = super().list_commands(ctx)
+        lazy = sorted(self.lazy_subcommands.keys())
+        return base + lazy
+
+    def get_command(self, ctx, cmd_name):
+        if cmd_name in self.lazy_subcommands:
+            return self._lazy_load(cmd_name)
+        return super().get_command(ctx, cmd_name)
+
+    def _lazy_load(self, cmd_name):
+        if cmd_name in self._lazy_loaded:
+            return self._lazy_loaded[cmd_name]
+
+        import_path = self.lazy_subcommands[cmd_name]
+        modname, cmd = import_path.rsplit(".", 1)
+        # do the import
+        mod = importlib.import_module(modname)
+        # get the Command object from that module
+        cmd_object = getattr(mod, cmd)
+        # check the result to make debugging easier. note that wrapped BaseCommand
+        # can be functions
+        if not isinstance(cmd_object, click.BaseCommand):
+            raise ValueError(
+                f"Lazy loading of {import_path} failed by returning "
+                f"a non-command object {type(cmd_object)}"
+            )
+        self._lazy_loaded[cmd_name] = cmd_object
+        return cmd_object
diff --git a/metaflow/client/core.py b/metaflow/client/core.py
index 3900b60a7f1..7c77467256c 100644
--- a/metaflow/client/core.py
+++ b/metaflow/client/core.py
@@ -5,11 +5,23 @@
 import tarfile
 from collections import namedtuple
 from datetime import datetime
+from tempfile import TemporaryDirectory
 from io import BytesIO
 from itertools import chain
-from typing import Any, Dict, FrozenSet, Iterable, List, Optional, Tuple
+from typing import (
+    Any,
+    Dict,
+    FrozenSet,
+    Iterable,
+    Iterator,
+    List,
+    NamedTuple,
+    Optional,
+    TYPE_CHECKING,
+    Tuple,
+)
 
-from metaflow.current import current
+from metaflow.metaflow_current import current
 from metaflow.events import Trigger
 from metaflow.exception import (
     MetaflowInternalError,
@@ -20,13 +32,17 @@
 from metaflow.includefile import IncludedFile
 from metaflow.metaflow_config import DEFAULT_METADATA, MAX_ATTEMPTS
 from metaflow.metaflow_environment import MetaflowEnvironment
+from metaflow.package import MetaflowPackage
+from metaflow.packaging_sys import ContentType
 from metaflow.plugins import ENVIRONMENTS, METADATA_PROVIDERS
 from metaflow.unbounded_foreach import CONTROL_TASK_TAG
 from metaflow.util import cached_property, is_stringish, resolve_identity, to_unicode
 
-from .. import INFO_FILE
 from .filecache import FileCache
 
+if TYPE_CHECKING:
+    from metaflow.metadata_provider import MetadataProvider
+
 try:
     # python2
     import cPickle as pickle
@@ -72,28 +88,16 @@ def metadata(ms: str) -> str:
         get_metadata()).
     """
     global current_metadata
-    infos = ms.split("@", 1)
-    types = [m.TYPE for m in METADATA_PROVIDERS]
-    if infos[0] in types:
-        current_metadata = [m for m in METADATA_PROVIDERS if m.TYPE == infos[0]][0]
-        if len(infos) > 1:
-            current_metadata.INFO = infos[1]
-    else:
-        # Deduce from ms; if starts with http, use service or else use local
-        if ms.startswith("http"):
-            metadata_type = "service"
-        else:
-            metadata_type = "local"
-        res = [m for m in METADATA_PROVIDERS if m.TYPE == metadata_type]
-        if not res:
-            print(
-                "Cannot find a '%s' metadata provider -- "
-                "try specifying one explicitly using @",
-                metadata_type,
-            )
-            return get_metadata()
-        current_metadata = res[0]
-        current_metadata.INFO = ms
+    provider, info = _metadata(ms)
+    if provider is None:
+        print(
+            "Cannot find a metadata provider -- "
+            "try specifying one explicitly using @",
+        )
+        return get_metadata()
+    current_metadata = provider
+    if info:
+        current_metadata.INFO = info
     return get_metadata()
 
 
@@ -117,7 +121,7 @@ def get_metadata() -> str:
     """
     if current_metadata is False:
         default_metadata()
-    return "%s@%s" % (current_metadata.TYPE, current_metadata.INFO)
+    return current_metadata.metadata_str()
 
 
 def default_metadata() -> str:
@@ -141,7 +145,7 @@ def default_metadata() -> str:
     if default:
         current_metadata = default[0]
     else:
-        from metaflow.plugins.metadata import LocalMetadataProvider
+        from metaflow.plugins.metadata_providers import LocalMetadataProvider
 
         current_metadata = LocalMetadataProvider
     return get_metadata()
@@ -203,6 +207,9 @@ def default_namespace() -> str:
     return get_namespace()
 
 
+MetaflowArtifacts = NamedTuple
+
+
 class MetaflowObject(object):
     """
     Base class for all Metaflow objects.
@@ -255,12 +262,26 @@ def __init__(
         _object: Optional["MetaflowObject"] = None,
         _parent: Optional["MetaflowObject"] = None,
         _namespace_check: bool = True,
+        _metaflow: Optional["Metaflow"] = None,
+        _current_namespace: Optional[str] = None,
+        _current_metadata: Optional[str] = None,
     ):
-        self._metaflow = Metaflow()
+        # the default namespace is activated lazily at the first
+        # get_namespace(). The other option of activating
+        # the namespace at the import time is problematic, since there
+        # may be other modules that alter environment variables etc.
+        # which may affect the namespace setting.
+        self._metaflow = Metaflow(_current_metadata) or _metaflow
         self._parent = _parent
         self._path_components = None
         self._attempt = attempt
+        self._current_namespace = _current_namespace or get_namespace()
         self._namespace_check = _namespace_check
+        # If the current namespace is False, we disable checking for namespace for this
+        # and all children objects. Not setting namespace_check to False has the consequence
+        # of preventing access to children objects after the namespace changes
+        if self._current_namespace is None:
+            self._namespace_check = False
 
         if self._attempt is not None:
             if self._NAME not in ["task", "artifact"]:
@@ -326,8 +347,8 @@ def __init__(
         self._user_tags = frozenset(self._object.get("tags") or [])
         self._system_tags = frozenset(self._object.get("system_tags") or [])
 
-        if self._namespace_check and not self.is_in_namespace():
-            raise MetaflowNamespaceMismatch(current_namespace)
+        if self._namespace_check and not self._is_in_namespace(self._current_namespace):
+            raise MetaflowNamespaceMismatch(self._current_namespace)
 
     def _get_object(self, *path_components):
         result = self._metaflow.metadata.get_object(
@@ -337,30 +358,30 @@ def _get_object(self, *path_components):
             raise MetaflowNotFound("%s does not exist" % self)
         return result
 
-    def __iter__(self) -> Iterable["MetaflowObject"]:
+    def __iter__(self) -> Iterator["MetaflowObject"]:
         """
         Iterate over all child objects of this object if any.
 
-        Note that only children present in the current namespace are returned iff
-        _namespace_check is set.
+        Note that only children present in the current namespace are returned if and
+        only if _namespace_check is set.
 
-        Returns
-        -------
-        Iterable[MetaflowObject]
-            Iterator over all children
+        Yields
+        ------
+        MetaflowObject
+            Children of this object
         """
         query_filter = {}
 
         # skip namespace filtering if _namespace_check is unset.
-        if self._namespace_check and current_namespace:
-            query_filter = {"any_tags": current_namespace}
+        if self._namespace_check and self._current_namespace:
+            query_filter = {"any_tags": self._current_namespace}
 
         unfiltered_children = self._metaflow.metadata.get_object(
             self._NAME,
             _CLASSES[self._CHILD_CLASS]._NAME,
             query_filter,
             self._attempt,
-            *self.path_components
+            *self.path_components,
         )
         unfiltered_children = unfiltered_children if unfiltered_children else []
         children = filter(
@@ -370,7 +391,11 @@ def __iter__(self) -> Iterable["MetaflowObject"]:
                     attempt=self._attempt,
                     _object=obj,
                     _parent=self,
-                    _namespace_check=False,
+                    _metaflow=self._metaflow,
+                    _namespace_check=self._namespace_check,
+                    _current_namespace=(
+                        self._current_namespace if self._namespace_check else None
+                    ),
                 )
                 for obj in unfiltered_children
             ),
@@ -409,6 +434,23 @@ def is_in_namespace(self) -> bool:
 
         If the current namespace is None, this will always return True.
 
+        Returns
+        -------
+        bool
+            Whether or not the object is in the current namespace
+        """
+        return self._is_in_namespace(current_namespace)
+
+    def _is_in_namespace(self, ns: str) -> bool:
+        """
+        Returns whether this object is in namespace passed in.
+
+        If the current namespace is None, this will always return True.
+
+        Parameters
+        ----------
+        ns : str
+            Namespace to check if the object is in.
         Returns
         -------
         bool
@@ -417,7 +459,7 @@ def is_in_namespace(self) -> bool:
         if self._NAME == "flow":
             return any(True for _ in self)
         else:
-            return current_namespace is None or current_namespace in self._tags
+            return ns is None or ns in self._tags
 
     def __str__(self):
         if self._attempt is not None:
@@ -465,7 +507,11 @@ def __getitem__(self, id: str) -> "MetaflowObject":
                 attempt=self._attempt,
                 _object=obj,
                 _parent=self,
+                _metaflow=self._metaflow,
                 _namespace_check=self._namespace_check,
+                _current_namespace=(
+                    self._current_namespace if self._namespace_check else None
+                ),
             )
         else:
             raise KeyError(id)
@@ -496,7 +542,38 @@ def _unpickle_284(self, data):
             pathspec=pathspec, attempt=attempt, _namespace_check=namespace_check
         )
 
-    _UNPICKLE_FUNC = {"2.8.4": _unpickle_284}
+    def _unpickle_2124(self, data):
+        if len(data) != 4:
+            raise MetaflowInternalError(
+                "Unexpected size of array: {}".format(len(data))
+            )
+        pathspec, attempt, ns, namespace_check = data
+        self.__init__(
+            pathspec=pathspec,
+            attempt=attempt,
+            _namespace_check=namespace_check,
+            _current_namespace=ns,
+        )
+
+    def _unpickle_21227(self, data):
+        if len(data) != 5:
+            raise MetaflowInternalError(
+                "Unexpected size of array: {}".format(len(data))
+            )
+        pathspec, attempt, md, ns, namespace_check = data
+        self.__init__(
+            pathspec=pathspec,
+            attempt=attempt,
+            _namespace_check=namespace_check,
+            _current_metadata=md,
+            _current_namespace=ns,
+        )
+
+    _UNPICKLE_FUNC = {
+        "2.8.4": _unpickle_284,
+        "2.12.4": _unpickle_2124,
+        "2.12.27": _unpickle_21227,
+    }
 
     def __setstate__(self, state):
         """
@@ -516,10 +593,13 @@ def __setstate__(self, state):
             self._UNPICKLE_FUNC[version](self, state["data"])
         else:
             # For backward compatibility: handles pickled objects that were serialized without a __getstate__ override
+            # We set namespace_check to False if it doesn't exist so that the user can
+            # continue accessing this object once unpickled.
             self.__init__(
                 pathspec=state.get("_pathspec", None),
                 attempt=state.get("_attempt", None),
-                _namespace_check=state.get("_namespace_check", True),
+                _namespace_check=state.get("_namespace_check", False),
+                _current_namespace=None,
             )
 
     def __getstate__(self):
@@ -531,11 +611,17 @@ def __getstate__(self):
         from this object) are pickled (serialized) in a later version of Metaflow, it may not be possible
         to unpickle (deserialize) them in a previous version of Metaflow.
         """
+        # Note that we now record the namespace at the time of the object creation so
+        # we don't need to force namespace_check to be False and can properly continue
+        # checking for the namespace even after unpickling since we will know which
+        # namespace to check.
         return {
-            "version": "2.8.4",
+            "version": "2.12.27",
             "data": [
                 self.pathspec,
                 self._attempt,
+                self._metaflow.metadata.metadata_str(),
+                self._current_namespace,
                 self._namespace_check,
             ],
         }
@@ -606,7 +692,7 @@ def origin_pathspec(self) -> Optional[str]:
         origin_pathspec = None
         if self._NAME == "run":
             latest_step = next(self.steps())
-            if latest_step:
+            if latest_step and latest_step.task:
                 # If we had a step
                 task = latest_step.task
                 origin_run_id = [
@@ -697,50 +783,6 @@ def path_components(self) -> List[str]:
         return list(self._path_components)
 
 
-class MetaflowData(object):
-    """
-    Container of data artifacts produced by a `Task`. This object is
-    instantiated through `Task.data`.
-
-    `MetaflowData` allows results to be retrieved by their name
-    through a convenient dot notation:
-
-    ```python
-    Task(...).data.my_object
-    ```
-
-    You can also test the existence of an object
-
-    ```python
-    if 'my_object' in Task(...).data:
-        print('my_object found')
-    ```
-
-    Note that this container relies on the local cache to load all data
-    artifacts. If your `Task` contains a lot of data, a more efficient
-    approach is to load artifacts individually like so
-
-    ```
-    Task(...)['my_object'].data
-    ```
-    """
-
-    def __init__(self, artifacts: Iterable["DataArtifact"]):
-        self._artifacts = dict((art.id, art) for art in artifacts)
-
-    def __getattr__(self, name: str):
-        return self._artifacts[name].data
-
-    def __contains__(self, var):
-        return var in self._artifacts
-
-    def __str__(self):
-        return "" % ", ".join(self._artifacts)
-
-    def __repr__(self):
-        return str(self)
-
-
 class MetaflowCode(object):
     """
     Snapshot of the code used to execute this `Run`. Instantiate the object through
@@ -775,20 +817,26 @@ def __init__(self, flow_name: str, code_package: str):
         self._path = info["location"]
         self._ds_type = info["ds_type"]
         self._sha = info["sha"]
+        self._code_metadata = info.get(
+            "metadata",
+            '{"version": 0, "archive_format": "tgz", "mfcontent_version": 0}',
+        )
+
+        self._backend = MetaflowPackage.get_backend(self._code_metadata)
 
         if filecache is None:
             filecache = FileCache()
         _, blobdata = filecache.get_data(
             self._ds_type, self._flow_name, self._path, self._sha
         )
-        code_obj = BytesIO(blobdata)
-        self._tar = tarfile.open(fileobj=code_obj, mode="r:gz")
-        # The JSON module in Python3 deals with Unicode. Tar gives bytes.
-        info_str = (
-            self._tar.extractfile(os.path.basename(INFO_FILE)).read().decode("utf-8")
-        )
-        self._info = json.loads(info_str)
-        self._flowspec = self._tar.extractfile(self._info["script"]).read()
+        self._code_obj = BytesIO(blobdata)
+        self._info = MetaflowPackage.cls_get_info(self._code_metadata, self._code_obj)
+        if self._info:
+            self._flowspec = MetaflowPackage.cls_get_content(
+                self._code_metadata, self._code_obj, self._info["script"]
+            )
+        else:
+            raise MetaflowInternalError("Code package metadata is invalid.")
 
     @property
     def path(self) -> str:
@@ -836,7 +884,59 @@ def tarball(self) -> tarfile.TarFile:
         TarFile
             TarFile for everything in this code package
         """
-        return self._tar
+        if self._backend.type == "tgz":
+            return self._backend.cls_open(self._code_obj)
+        raise RuntimeError("Archive is not a tarball")
+
+    def extract(self) -> TemporaryDirectory:
+        """
+        Extracts the code package to a temporary directory.
+
+        This creates a temporary directory containing all user code
+        files from the code package. The temporary directory is
+        automatically deleted when the returned TemporaryDirectory
+        object is garbage collected or when its cleanup() is called.
+
+        To preserve the contents to a permanent location, use
+        os.replace() which performs a zero-copy move on the same
+        filesystem:
+
+        ```python
+        with task.code.extract() as tmp_dir:
+            # Move contents to permanent location
+            for item in os.listdir(tmp_dir):
+                src = os.path.join(tmp_dir, item)
+                dst = os.path.join('/path/to/permanent/dir', item)
+                os.makedirs(os.path.dirname(dst), exist_ok=True)
+                os.replace(src, dst)  # Atomic move operation
+        ```
+        Returns
+        -------
+        TemporaryDirectory
+            A temporary directory containing the extracted code files.
+            The directory and its contents are automatically deleted when
+            this object is garbage collected.
+        """
+        tmp = TemporaryDirectory()
+        MetaflowPackage.cls_extract_into(
+            self._code_metadata, self._code_obj, tmp.name, ContentType.USER_CONTENT
+        )
+        return tmp
+
+    @property
+    def script_name(self) -> str:
+        """
+        Returns the filename of the Python script containing the FlowSpec.
+
+        This is the main Python file that was used to execute the flow. For example,
+        if your flow is defined in 'myflow.py', this property will return 'myflow.py'.
+
+        Returns
+        -------
+        str
+            Name of the Python file containing the FlowSpec
+        """
+        return self._info["script"]
 
     def __str__(self):
         return "" % self._info["script"]
@@ -975,6 +1075,52 @@ def __setstate__(self, state):
         super(DataArtifact, self).__setstate__(state)
 
 
+class MetaflowData(object):
+    """
+    Container of data artifacts produced by a `Task`. This object is
+    instantiated through `Task.data`.
+
+    `MetaflowData` allows results to be retrieved by their name
+    through a convenient dot notation:
+
+    ```python
+    Task(...).data.my_object
+    ```
+
+    You can also test the existence of an object
+
+    ```python
+    if 'my_object' in Task(...).data:
+        print('my_object found')
+    ```
+
+    Note that this container relies on the local cache to load all data
+    artifacts. If your `Task` contains a lot of data, a more efficient
+    approach is to load artifacts individually like so
+
+    ```
+    Task(...)['my_object'].data
+    ```
+    """
+
+    def __init__(self, artifacts: Iterable[DataArtifact]):
+        self._artifacts = dict((art.id, art) for art in artifacts)
+
+    def __getattr__(self, name: str):
+        if name not in self._artifacts:
+            raise AttributeError(name)
+        return self._artifacts[name].data
+
+    def __contains__(self, var):
+        return var in self._artifacts
+
+    def __str__(self):
+        return "" % ", ".join(self._artifacts)
+
+    def __repr__(self):
+        return str(self)
+
+
 class Task(MetaflowObject):
     """
     A `Task` represents an execution of a `Step`.
@@ -1037,6 +1183,143 @@ def _iter_filter(self, x):
         # exclude private data artifacts
         return x.id[0] != "_"
 
+    def _iter_matching_tasks(self, steps, metadata_key, metadata_pattern):
+        """
+        Yield tasks from specified steps matching a foreach path pattern.
+
+        Parameters
+        ----------
+        steps : List[str]
+            List of step names to search for tasks
+        pattern : str
+            Regex pattern to match foreach-indices metadata
+
+        Returns
+        -------
+        Iterator[Task]
+            Tasks matching the foreach path pattern
+        """
+        flow_id, run_id, _, _ = self.path_components
+
+        for step in steps:
+            task_pathspecs = self._metaflow.metadata.filter_tasks_by_metadata(
+                flow_id, run_id, step.id, metadata_key, metadata_pattern
+            )
+            for task_pathspec in task_pathspecs:
+                yield Task(pathspec=task_pathspec, _namespace_check=False)
+
+    @property
+    def parent_tasks(self) -> Iterator["Task"]:
+        """
+        Yields all parent tasks of the current task if one exists.
+
+        Yields
+        ------
+        Task
+            Parent task of the current task
+
+        """
+        flow_id, run_id, _, _ = self.path_components
+
+        steps = list(self.parent.parent_steps)
+        if not steps:
+            return []
+
+        current_path = self.metadata_dict.get("foreach-execution-path", "")
+
+        if len(steps) > 1:
+            # Static join - use exact path matching
+            pattern = current_path or ".*"
+            yield from self._iter_matching_tasks(
+                steps, "foreach-execution-path", pattern
+            )
+            return
+
+        # Handle single step case
+        target_task = Step(
+            f"{flow_id}/{run_id}/{steps[0].id}", _namespace_check=False
+        ).task
+        target_path = target_task.metadata_dict.get("foreach-execution-path")
+
+        if not target_path or not current_path:
+            # (Current task, "A:10") and (Parent task, "")
+            # Pattern: ".*"
+            pattern = ".*"
+        else:
+            current_depth = len(current_path.split(","))
+            target_depth = len(target_path.split(","))
+
+            if current_depth < target_depth:
+                # Foreach join
+                # (Current task, "A:10,B:13") and (Parent task, "A:10,B:13,C:21")
+                # Pattern: "A:10,B:13,.*"
+                pattern = f"{current_path},.*"
+            else:
+                # Foreach split or linear step
+                # Option 1:
+                # (Current task, "A:10,B:13,C:21") and (Parent task, "A:10,B:13")
+                # Option 2:
+                # (Current task, "A:10,B:13") and (Parent task, "A:10,B:13")
+                # Pattern: "A:10,B:13"
+                pattern = ",".join(current_path.split(",")[:target_depth])
+
+        yield from self._iter_matching_tasks(steps, "foreach-execution-path", pattern)
+
+    @property
+    def child_tasks(self) -> Iterator["Task"]:
+        """
+        Yield all child tasks of the current task if one exists.
+
+        Yields
+        ------
+        Task
+            Child task of the current task
+        """
+        flow_id, run_id, _, _ = self.path_components
+        steps = list(self.parent.child_steps)
+        if not steps:
+            return []
+
+        current_path = self.metadata_dict.get("foreach-execution-path", "")
+
+        if len(steps) > 1:
+            # Static split - use exact path matching
+            pattern = current_path or ".*"
+            yield from self._iter_matching_tasks(
+                steps, "foreach-execution-path", pattern
+            )
+            return
+
+        # Handle single step case
+        target_task = Step(
+            f"{flow_id}/{run_id}/{steps[0].id}", _namespace_check=False
+        ).task
+        target_path = target_task.metadata_dict.get("foreach-execution-path")
+
+        if not target_path or not current_path:
+            # (Current task, "A:10") and (Child task, "")
+            # Pattern: ".*"
+            pattern = ".*"
+        else:
+            current_depth = len(current_path.split(","))
+            target_depth = len(target_path.split(","))
+
+            if current_depth < target_depth:
+                # Foreach split
+                # (Current task, "A:10,B:13") and (Child task, "A:10,B:13,C:21")
+                # Pattern: "A:10,B:13,.*"
+                pattern = f"{current_path},.*"
+            else:
+                # Foreach join or linear step
+                # Option 1:
+                # (Current task, "A:10,B:13,C:21") and (Child task, "A:10,B:13")
+                # Option 2:
+                # (Current task, "A:10,B:13") and (Child task, "A:10,B:13")
+                # Pattern: "A:10,B:13"
+                pattern = ",".join(current_path.split(",")[:target_depth])
+
+        yield from self._iter_matching_tasks(steps, "foreach-execution-path", pattern)
+
     @property
     def metadata(self) -> List[Metadata]:
         """
@@ -1166,7 +1449,7 @@ def data(self) -> MetaflowData:
         return MetaflowData(self)
 
     @property
-    def artifacts(self) -> "MetaflowArtifacts":
+    def artifacts(self) -> MetaflowArtifacts:
         """
         Returns a container of DataArtifacts produced by this task.
 
@@ -1432,8 +1715,11 @@ def _get_logsize(self, stream):
             return self._log_size(stream, meta_dict)
 
     def loglines(
-        self, stream: str, as_unicode: bool = True, meta_dict: Dict[str, Any] = None
-    ) -> Iterable[Tuple[datetime, str]]:
+        self,
+        stream: str,
+        as_unicode: bool = True,
+        meta_dict: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Tuple[datetime, str]]:
         """
         Return an iterator over (utc_timestamp, logline) tuples.
 
@@ -1445,10 +1731,10 @@ def loglines(
             If as_unicode=False, each logline is returned as a byte object. Otherwise,
             it is returned as a (unicode) string.
 
-        Returns
-        -------
-        Iterable[(datetime, str)]
-            Iterator over timestamp, logline pairs.
+        Yields
+        ------
+        Tuple[datetime, str]
+            Tuple of timestamp, logline pairs.
         """
         from metaflow.mflog.mflog import merge_logs
 
@@ -1519,6 +1805,39 @@ def _log_size(self, stream, meta_dict):
             ds_type, ds_root, stream, attempt, *self.path_components
         )
 
+    def __iter__(self) -> Iterator[DataArtifact]:
+        """
+        Iterate over all children DataArtifact of this Task
+
+        Yields
+        ------
+        DataArtifact
+            A DataArtifact in this Step
+        """
+        for d in super(Task, self).__iter__():
+            yield d
+
+    def __getitem__(self, name: str) -> DataArtifact:
+        """
+        Returns the DataArtifact object with the artifact name 'name'
+
+        Parameters
+        ----------
+        name : str
+            Data artifact name
+
+        Returns
+        -------
+        DataArtifact
+            DataArtifact for this artifact name in this task
+
+        Raises
+        ------
+        KeyError
+            If the name does not identify a valid DataArtifact object
+        """
+        return super(Task, self).__getitem__(name)
+
     def __getstate__(self):
         return super(Task, self).__getstate__()
 
@@ -1579,10 +1898,10 @@ def tasks(self, *tags: str) -> Iterable[Task]:
         tags : str
             No op (legacy functionality)
 
-        Returns
-        -------
-        Iterable[Task]
-            Iterator over all `Task` objects in this step.
+        Yields
+        ------
+        Task
+            `Task` objects in this step.
         """
         return self._filtered_children(*tags)
 
@@ -1601,7 +1920,7 @@ def control_task(self) -> Optional[Task]:
         """
         return next(self.control_tasks(), None)
 
-    def control_tasks(self, *tags: str) -> Iterable[Task]:
+    def control_tasks(self, *tags: str) -> Iterator[Task]:
         """
         [Unpublished API - use with caution!]
 
@@ -1613,10 +1932,11 @@ def control_tasks(self, *tags: str) -> Iterable[Task]:
         ----------
         tags : str
             Tags to match
-        Returns
-        -------
-        Iterable[Task]
-            Iterator over Control Task objects in this step
+
+        Yields
+        ------
+        Task
+            Control Task objects for this step
         """
         children = super(Step, self).__iter__()
         for child in children:
@@ -1637,11 +1957,39 @@ def control_tasks(self, *tags: str) -> Iterable[Task]:
                     ):
                         yield child
 
-    def __iter__(self):
-        children = super(Step, self).__iter__()
-        for t in children:
+    def __iter__(self) -> Iterator[Task]:
+        """
+        Iterate over all children Task of this Step
+
+        Yields
+        ------
+        Task
+            A Task in this Step
+        """
+        for t in super(Step, self).__iter__():
             yield t
 
+    def __getitem__(self, task_id: str) -> Task:
+        """
+        Returns the Task object with the task ID 'task_id'
+
+        Parameters
+        ----------
+        task_id : str
+            Task ID
+
+        Returns
+        -------
+        Task
+            Task for this task ID in this Step
+
+        Raises
+        ------
+        KeyError
+            If the task_id does not identify a valid Task object
+        """
+        return super(Step, self).__getitem__(task_id)
+
     def __getstate__(self):
         return super(Step, self).__getstate__()
 
@@ -1686,6 +2034,41 @@ def environment_info(self) -> Optional[Dict[str, Any]]:
         for t in self:
             return t.environment_info
 
+    @property
+    def parent_steps(self) -> Iterator["Step"]:
+        """
+        Yields parent steps for the current step.
+
+        Yields
+        ------
+        Step
+            Parent step
+        """
+        graph_info = self.task["_graph_info"].data
+
+        if self.id != "start":
+            flow, run, _ = self.path_components
+            for node_name, attributes in graph_info["steps"].items():
+                if self.id in attributes["next"]:
+                    yield Step(f"{flow}/{run}/{node_name}", _namespace_check=False)
+
+    @property
+    def child_steps(self) -> Iterator["Step"]:
+        """
+        Yields child steps for the current step.
+
+        Yields
+        ------
+        Step
+            Child step
+        """
+        graph_info = self.task["_graph_info"].data
+
+        if self.id != "end":
+            flow, run, _ = self.path_components
+            for next_step in graph_info["steps"][self.id]["next"]:
+                yield Step(f"{flow}/{run}/{next_step}", _namespace_check=False)
+
 
 class Run(MetaflowObject):
     """
@@ -1703,6 +2086,8 @@ class Run(MetaflowObject):
         Time this run finished.
     code : MetaflowCode
         Code package for this run (if present). See `MetaflowCode`.
+    trigger : MetaflowTrigger
+        Information about event(s) that triggered this run (if present). See `MetaflowTrigger`.
     end_task : Task
         `Task` for the end step (if it is present already).
     """
@@ -1715,7 +2100,7 @@ def _iter_filter(self, x):
         # exclude _parameters step
         return x.id[0] != "_"
 
-    def steps(self, *tags: str) -> Iterable[Step]:
+    def steps(self, *tags: str) -> Iterator[Step]:
         """
         [Legacy function - do not use]
 
@@ -1730,10 +2115,10 @@ def steps(self, *tags: str) -> Iterable[Step]:
         tags : str
             No op (legacy functionality)
 
-        Returns
-        -------
-        Iterable[Step]
-            Iterator over `Step` objects in this run.
+        Yields
+        ------
+        Step
+            `Step` objects in this run.
         """
         return self._filtered_children(*tags)
 
@@ -1755,9 +2140,10 @@ def code(self) -> Optional[MetaflowCode]:
         # TODO: A more optimized way of figuring out if a run has remote steps (and thus a codepackage) available.
         # This might require changes to the metadata-service as well.
         for step in self:
-            code = step.task.code
-            if code:
-                return code
+            if step.task:
+                code = step.task.code
+                if code:
+                    return code
 
     @property
     def data(self) -> Optional[MetaflowData]:
@@ -1968,6 +2354,39 @@ def replace_tags(self, tags_to_remove: Iterable[str], tags_to_add: Iterable[str]
         self._user_tags = frozenset(final_user_tags)
         self._tags = frozenset([*self._user_tags, *self._system_tags])
 
+    def __iter__(self) -> Iterator[Step]:
+        """
+        Iterate over all children Step of this Run
+
+        Yields
+        ------
+        Step
+            A Step in this Run
+        """
+        for s in super(Run, self).__iter__():
+            yield s
+
+    def __getitem__(self, name: str) -> Step:
+        """
+        Returns the Step object with the step name 'name'
+
+        Parameters
+        ----------
+        name : str
+            Step name
+
+        Returns
+        -------
+        Step
+            Step for this step name in this Run
+
+        Raises
+        ------
+        KeyError
+            If the name does not identify a valid Step object
+        """
+        return super(Run, self).__getitem__(name)
+
     def __getstate__(self):
         return super(Run, self).__getstate__()
 
@@ -1986,7 +2405,7 @@ def trigger(self) -> Optional[Trigger]:
         Trigger, optional
             Container of triggering events
         """
-        if "start" in self:
+        if "start" in self and self["start"].task:
             meta = self["start"].task.metadata_dict.get("execution-triggers")
             if meta:
                 return Trigger(json.loads(meta))
@@ -2043,7 +2462,7 @@ def latest_successful_run(self) -> Optional[Run]:
             if run.successful:
                 return run
 
-    def runs(self, *tags: str) -> Iterable[Run]:
+    def runs(self, *tags: str) -> Iterator[Run]:
         """
         Returns an iterator over all `Run`s of this flow.
 
@@ -2056,12 +2475,48 @@ def runs(self, *tags: str) -> Iterable[Run]:
         tags : str
             Tags to match.
 
+        Yields
+        ------
+        Run
+            `Run` objects in this flow.
+        """
+        return self._filtered_children(*tags)
+
+    def __iter__(self) -> Iterator[Task]:
+        """
+        Iterate over all children Run of this Flow.
+
+        Note that only runs in the current namespace are returned unless
+        _namespace_check is False
+
+        Yields
+        ------
+        Run
+            A Run in this Flow
+        """
+        for r in super(Flow, self).__iter__():
+            yield r
+
+    def __getitem__(self, run_id: str) -> Run:
+        """
+        Returns the Run object with the run ID 'run_id'
+
+        Parameters
+        ----------
+        run_id : str
+            Run OD
+
         Returns
         -------
-        Iterable[Run]
-            Iterator over `Run` objects in this flow.
+        Run
+            Run for this run ID in this Flow
+
+        Raises
+        ------
+        KeyError
+            If the run_id does not identify a valid Run object
         """
-        return self._filtered_children(*tags)
+        return super(Flow, self).__getitem__(run_id)
 
     def __getstate__(self):
         return super(Flow, self).__getstate__()
@@ -2085,17 +2540,16 @@ class Metaflow(object):
         if it has at least one run in the namespace.
     """
 
-    def __init__(self):
-        # the default namespace is activated lazily at the first object
-        # invocation or get_namespace(). The other option of activating
-        # the namespace at the import time is problematic, since there
-        # may be other modules that alter environment variables etc.
-        # which may affect the namescape setting.
-        if current_namespace is False:
-            default_namespace()
-        if current_metadata is False:
-            default_metadata()
-        self.metadata = current_metadata
+    def __init__(self, _current_metadata: Optional[str] = None):
+        if _current_metadata:
+            provider, info = _metadata(_current_metadata)
+            self.metadata = provider
+            if info:
+                self.metadata.INFO = info
+        else:
+            if current_metadata is False:
+                default_metadata()
+            self.metadata = current_metadata
 
     @property
     def flows(self) -> List[Flow]:
@@ -2112,12 +2566,12 @@ def flows(self) -> List[Flow]:
         """
         return list(self)
 
-    def __iter__(self):
+    def __iter__(self) -> Iterator[Flow]:
         """
         Iterator over all flows present.
 
-        Only flows present in the set namespace are returned. A flow is present in a namespace if
-        it has at least one run that is in the namespace.
+        Only flows present in the set namespace are returned. A flow is present in a
+        namespace if it has at least one run that is in the namespace.
 
         Yields
         -------
@@ -2132,15 +2586,15 @@ def __iter__(self):
         all_flows = all_flows if all_flows else []
         for flow in all_flows:
             try:
-                v = Flow(_object=flow)
+                v = Flow(_object=flow, _metaflow=self)
                 yield v
             except MetaflowNamespaceMismatch:
                 continue
 
-    def __str__(self):
+    def __str__(self) -> str:
         return "Metaflow()"
 
-    def __getitem__(self, id: str) -> Flow:
+    def __getitem__(self, name: str) -> Flow:
         """
         Returns a specific flow by name.
 
@@ -2148,15 +2602,34 @@ def __getitem__(self, id: str) -> Flow:
 
         Parameters
         ----------
-        id : string
+        name : str
             Name of the Flow
 
         Returns
         -------
         Flow
-            Flow with the given ID.
+            Flow with the given name.
         """
-        return Flow(id)
+        return Flow(name, _metaflow=self)
+
+
+def _metadata(ms: str) -> Tuple[Optional["MetadataProvider"], Optional[str]]:
+    infos = ms.split("@", 1)
+    types = [m.TYPE for m in METADATA_PROVIDERS]
+    if infos[0] in types:
+        provider = [m for m in METADATA_PROVIDERS if m.TYPE == infos[0]][0]
+        if len(infos) > 1:
+            return provider, infos[1]
+        return provider, None
+    # Deduce from ms; if starts with http, use service or else use local
+    if ms.startswith("http"):
+        metadata_type = "service"
+    else:
+        metadata_type = "local"
+    res = [m for m in METADATA_PROVIDERS if m.TYPE == metadata_type]
+    if not res:
+        return None, None
+    return res[0], ms
 
 
 _CLASSES["flow"] = Flow
diff --git a/metaflow/client/filecache.py b/metaflow/client/filecache.py
index 8c7d945d588..83a38811eff 100644
--- a/metaflow/client/filecache.py
+++ b/metaflow/client/filecache.py
@@ -6,6 +6,8 @@
 from tempfile import NamedTemporaryFile
 from hashlib import sha1
 
+from urllib.parse import urlparse
+
 from metaflow.datastore import FlowDataStore
 from metaflow.datastore.content_addressed_store import BlobCache
 from metaflow.exception import MetaflowException
@@ -83,7 +85,6 @@ def get_logs_stream(
     def get_log_legacy(
         self, ds_type, location, logtype, attempt, flow_name, run_id, step_name, task_id
     ):
-
         ds_cls = self._get_datastore_storage_impl(ds_type)
         ds_root = ds_cls.path_join(*ds_cls.path_split(location)[:-5])
         cache_id = self._flow_ds_id(ds_type, ds_root, flow_name)
@@ -311,12 +312,24 @@ def _index_objects(self):
 
     @staticmethod
     def _flow_ds_id(ds_type, ds_root, flow_name):
-        return ".".join([ds_type, ds_root, flow_name])
+        p = urlparse(ds_root)
+        sanitized_root = (p.netloc + p.path).replace("/", "_")
+        return ".".join([ds_type, sanitized_root, flow_name])
 
     @staticmethod
     def _task_ds_id(ds_type, ds_root, flow_name, run_id, step_name, task_id, attempt):
+        p = urlparse(ds_root)
+        sanitized_root = (p.netloc + p.path).replace("/", "_")
         return ".".join(
-            [ds_type, ds_root, flow_name, run_id, step_name, task_id, str(attempt)]
+            [
+                ds_type,
+                sanitized_root,
+                flow_name,
+                run_id,
+                step_name,
+                task_id,
+                str(attempt),
+            ]
         )
 
     def _garbage_collect(self):
diff --git a/metaflow/clone_util.py b/metaflow/clone_util.py
new file mode 100644
index 00000000000..5b092474333
--- /dev/null
+++ b/metaflow/clone_util.py
@@ -0,0 +1,77 @@
+import time
+from .metadata_provider import MetaDatum
+
+
+def clone_task_helper(
+    flow_name,
+    clone_run_id,
+    run_id,
+    step_name,
+    clone_task_id,
+    task_id,
+    flow_datastore,
+    metadata_service,
+    origin_ds_set=None,
+    attempt_id=0,
+):
+    # 1. initialize output datastore
+    output = flow_datastore.get_task_datastore(
+        run_id, step_name, task_id, attempt=attempt_id, mode="w"
+    )
+    output.init_task()
+
+    origin_run_id, origin_step_name, origin_task_id = (
+        clone_run_id,
+        step_name,
+        clone_task_id,
+    )
+    # 2. initialize origin datastore
+    origin = None
+    if origin_ds_set:
+        origin = origin_ds_set.get_with_pathspec(
+            "{}/{}/{}".format(origin_run_id, origin_step_name, origin_task_id)
+        )
+    else:
+        origin = flow_datastore.get_task_datastore(
+            origin_run_id, origin_step_name, origin_task_id
+        )
+    metadata_tags = ["attempt_id:{0}".format(attempt_id)]
+    output.clone(origin)
+    _ = metadata_service.register_task_id(
+        run_id,
+        step_name,
+        task_id,
+        attempt_id,
+    )
+    metadata_service.register_metadata(
+        run_id,
+        step_name,
+        task_id,
+        [
+            MetaDatum(
+                field="origin-task-id",
+                value=str(origin_task_id),
+                type="origin-task-id",
+                tags=metadata_tags,
+            ),
+            MetaDatum(
+                field="origin-run-id",
+                value=str(origin_run_id),
+                type="origin-run-id",
+                tags=metadata_tags,
+            ),
+            MetaDatum(
+                field="attempt",
+                value=str(attempt_id),
+                type="attempt",
+                tags=metadata_tags,
+            ),
+            MetaDatum(
+                field="attempt_ok",
+                value="True",  # During clone, the task is always considered successful.
+                type="internal_attempt_status",
+                tags=metadata_tags,
+            ),
+        ],
+    )
+    output.done()
diff --git a/metaflow/cmd/code/__init__.py b/metaflow/cmd/code/__init__.py
new file mode 100644
index 00000000000..709b78cd1d7
--- /dev/null
+++ b/metaflow/cmd/code/__init__.py
@@ -0,0 +1,230 @@
+import os
+import shutil
+import sys
+from subprocess import PIPE, CompletedProcess, run
+from tempfile import TemporaryDirectory
+from typing import Any, Callable, List, Mapping, Optional, cast
+
+from metaflow import Run
+from metaflow._vendor import click
+from metaflow.cli import echo_always
+
+
+@click.group()
+def cli():
+    pass
+
+
+@cli.group(help="Access, compare, and manage code associated with Metaflow runs.")
+def code():
+    pass
+
+
+def echo(line: str) -> None:
+    echo_always(line, err=True, fg="magenta")
+
+
+def extract_code_package(runspec: str) -> TemporaryDirectory:
+    try:
+        mf_run = Run(runspec, _namespace_check=False)
+        echo(f"βœ…  Run *{runspec}* found, downloading code..")
+    except Exception as e:
+        echo(f"❌  Run **{runspec}** not found")
+        raise e
+
+    if mf_run.code is None:
+        echo(
+            f"❌  Run **{runspec}** doesn't have a code package. Maybe it's a local run?"
+        )
+        raise RuntimeError("no code package found")
+
+    return mf_run.code.extract()
+
+
+def perform_diff(
+    source_dir: str,
+    target_dir: Optional[str] = None,
+    output: bool = False,
+    **kwargs: Mapping[str, Any],
+) -> Optional[List[str]]:
+    if target_dir is None:
+        target_dir = os.getcwd()
+
+    diffs = []
+    for dirpath, dirnames, filenames in os.walk(source_dir, followlinks=True):
+        for fname in filenames:
+            # NOTE: the paths below need to be set up carefully
+            # for the `patch` command to work. Better not to touch
+            # the directories below. If you must, test that patches
+            # work after your changes.
+            #
+            # target_file is the git repo in the current working directory
+            rel = os.path.relpath(dirpath, source_dir)
+            target_file = os.path.join(rel, fname)
+            # source_file is the run file loaded in a tmp directory
+            source_file = os.path.join(dirpath, fname)
+
+            if sys.stdout.isatty() and not output:
+                color = ["--color"]
+            else:
+                color = ["--no-color"]
+
+            if os.path.exists(os.path.join(target_dir, target_file)):
+                cmd = (
+                    ["git", "diff", "--no-index", "--exit-code"]
+                    + color
+                    + [
+                        target_file,
+                        source_file,
+                    ]
+                )
+                result: CompletedProcess = run(
+                    cmd, text=True, stdout=PIPE, cwd=target_dir
+                )
+                if result.returncode == 0:
+                    if not output:
+                        echo(f"βœ…  {target_file} is identical, skipping")
+                    continue
+
+                if output:
+                    diffs.append(result.stdout)
+                else:
+                    run(["less", "-R"], input=result.stdout, text=True)
+            else:
+                if not output:
+                    echo(f"❗  {target_file} not in the target directory, skipping")
+    return diffs if output else None
+
+
+def run_op(
+    runspec: str, op: Callable[..., Optional[List[str]]], **op_args: Mapping[str, Any]
+) -> Optional[List[str]]:
+    tmp = None
+    try:
+        tmp = extract_code_package(runspec)
+        return op(tmp.name, **op_args)
+    finally:
+        if tmp and os.path.exists(tmp.name):
+            shutil.rmtree(tmp.name)
+
+
+def run_op_diff_runs(
+    source_run_pathspec: str, target_run_pathspec: str, **op_args: Mapping[str, Any]
+) -> Optional[List[str]]:
+    source_tmp = None
+    target_tmp = None
+    try:
+        source_tmp = extract_code_package(source_run_pathspec)
+        target_tmp = extract_code_package(target_run_pathspec)
+        return perform_diff(source_tmp.name, target_tmp.name, **op_args)
+    finally:
+        for d in [source_tmp, target_tmp]:
+            if d and os.path.exists(d.name):
+                shutil.rmtree(d.name)
+
+
+def op_diff(tmpdir: str, **kwargs: Mapping[str, Any]) -> Optional[List[str]]:
+    kwargs_dict = dict(kwargs)
+    target_dir = cast(Optional[str], kwargs_dict.pop("target_dir", None))
+    output: bool = bool(kwargs_dict.pop("output", False))
+    op_args: Mapping[str, Any] = {**kwargs_dict}
+    return perform_diff(tmpdir, target_dir=target_dir, output=output, **op_args)
+
+
+def op_pull(tmpdir: str, dst: str, **op_args: Mapping[str, Any]) -> None:
+    if os.path.exists(dst):
+        echo(f"❌  Directory *{dst}* already exists")
+    else:
+        shutil.move(tmpdir, dst)
+        echo(f"Code downloaded to *{dst}*")
+
+
+def op_patch(tmpdir: str, dst: str, **kwargs: Mapping[str, Any]) -> None:
+    diffs = perform_diff(tmpdir, output=True) or []
+    with open(dst, "w", encoding="utf-8") as f:
+        for out in diffs:
+            out = out.replace(tmpdir, "/.")
+            out = out.replace("+++ b/./", "+++ b/")
+            out = out.replace("--- b/./", "--- b/")
+            out = out.replace("--- a/./", "--- a/")
+            out = out.replace("+++ a/./", "+++ a/")
+            f.write(out)
+    echo(f"Patch saved in *{dst}*")
+    path = run(
+        ["git", "rev-parse", "--show-prefix"], text=True, stdout=PIPE
+    ).stdout.strip()
+    if path:
+        diropt = f" --directory={path.rstrip('/')}"
+    else:
+        diropt = ""
+    echo("Apply the patch by running:")
+    echo_always(
+        f"git apply --verbose{diropt} {dst}", highlight=True, bold=True, err=True
+    )
+
+
+@code.command()
+@click.argument("run_pathspec")
+def diff(run_pathspec: str, **kwargs: Mapping[str, Any]) -> None:
+    """
+    Do a 'git diff' of the current directory and a Metaflow run.
+    """
+    _ = run_op(run_pathspec, op_diff, **kwargs)
+
+
+@code.command()
+@click.argument("source_run_pathspec")
+@click.argument("target_run_pathspec")
+def diff_runs(
+    source_run_pathspec: str, target_run_pathspec: str, **kwargs: Mapping[str, Any]
+) -> None:
+    """
+    Do a 'git diff' between two Metaflow runs.
+    """
+    _ = run_op_diff_runs(source_run_pathspec, target_run_pathspec, **kwargs)
+
+
+@code.command()
+@click.argument("run_pathspec")
+@click.option(
+    "--dir", help="Destination directory (default: {run_pathspec}_code)", default=None
+)
+def pull(
+    run_pathspec: str, dir: Optional[str] = None, **kwargs: Mapping[str, Any]
+) -> None:
+    """
+    Pull the code of a Metaflow run.
+    """
+    if dir is None:
+        dir = run_pathspec.lower().replace("/", "_") + "_code"
+    op_args: Mapping[str, Any] = {**kwargs, "dst": dir}
+    run_op(run_pathspec, op_pull, **op_args)
+
+
+@code.command()
+@click.argument("run_pathspec")
+@click.option(
+    "--file_path",
+    help="Patch file name. If not provided, defaults to a sanitized version of RUN_PATHSPEC "
+    "with slashes replaced by underscores, plus '.patch'.",
+    show_default=False,
+)
+@click.option(
+    "--overwrite", is_flag=True, help="Overwrite the patch file if it exists."
+)
+def patch(
+    run_pathspec: str,
+    file_path: Optional[str] = None,
+    overwrite: bool = False,
+    **kwargs: Mapping[str, Any],
+) -> None:
+    """
+    Create a patch by comparing current dir with a Metaflow run.
+    """
+    if file_path is None:
+        file_path = run_pathspec.lower().replace("/", "_") + ".patch"
+    if os.path.exists(file_path) and not overwrite:
+        echo(f"File *{file_path}* already exists. To overwrite, specify --overwrite.")
+        return
+    op_args: Mapping[str, Any] = {**kwargs, "dst": file_path}
+    run_op(run_pathspec, op_patch, **op_args)
diff --git a/metaflow/cmd/configure_cmd.py b/metaflow/cmd/configure_cmd.py
index 281259e9c3b..d4ef1a5a541 100644
--- a/metaflow/cmd/configure_cmd.py
+++ b/metaflow/cmd/configure_cmd.py
@@ -18,6 +18,7 @@
 METAFLOW_CONFIGURATION_DIR = expanduser(
     os.environ.get("METAFLOW_HOME", "~/.metaflowconfig")
 )
+METAFLOW_PROFILE = os.environ.get("METAFLOW_PROFILE", "")
 
 
 @click.group()
@@ -91,7 +92,9 @@ def persist_env(env_dict, profile):
 
 
 @configure.command(help="Reset configuration to disable cloud access.")
-@click.option("--profile", "-p", default="", help="Optional named profile.")
+@click.option(
+    "--profile", "-p", default=METAFLOW_PROFILE, help="Optional named profile."
+)
 def reset(profile):
     check_for_missing_profile(profile)
     path = get_config_path(profile)
@@ -108,7 +111,9 @@ def reset(profile):
 
 
 @configure.command(help="Show existing configuration.")
-@click.option("--profile", "-p", default="", help="Optional named profile.")
+@click.option(
+    "--profile", "-p", default=METAFLOW_PROFILE, help="Optional named profile."
+)
 def show(profile):
     check_for_missing_profile(profile)
     path = get_config_path(profile)
@@ -129,7 +134,7 @@ def show(profile):
 @click.option(
     "--profile",
     "-p",
-    default="",
+    default=METAFLOW_PROFILE,
     help="Optional named profile whose configuration must be " "exported.",
 )
 @click.argument("output_filename", type=click.Path(resolve_path=True))
@@ -162,7 +167,7 @@ def export(profile, output_filename):
 @click.option(
     "--profile",
     "-p",
-    default="",
+    default=METAFLOW_PROFILE,
     help="Optional named profile to which the configuration must be " "imported into.",
 )
 @click.argument("input_filename", type=click.Path(exists=True, resolve_path=True))
@@ -577,6 +582,63 @@ def check_kubernetes_config(ctx):
         )
 
 
+def configure_argo_events(existing_env):
+    env = {}
+
+    # Argo events service account
+    env["METAFLOW_ARGO_EVENTS_SERVICE_ACCOUNT"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_SERVICE_ACCOUNT]")
+        + " Service Account for Argo Events. ",
+        default=existing_env.get("METAFLOW_ARGO_EVENTS_SERVICE_ACCOUNT", ""),
+        show_default=True,
+    )
+
+    # Argo events event bus
+    env["METAFLOW_ARGO_EVENTS_EVENT_BUS"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_EVENT_BUS]")
+        + yellow(" (optional)")
+        + " Event Bus for Argo Events.",
+        default=existing_env.get("METAFLOW_ARGO_EVENTS_EVENT_BUS", "default"),
+        show_default=True,
+    )
+
+    # Argo events event source
+    env["METAFLOW_ARGO_EVENTS_EVENT_SOURCE"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_EVENT_SOURCE]") + " Event Source for Argo Events.",
+        default=existing_env.get("METAFLOW_ARGO_EVENTS_EVENT_SOURCE", ""),
+        show_default=True,
+    )
+
+    # Argo events event name
+    env["METAFLOW_ARGO_EVENTS_EVENT"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_EVENT]") + " Event name for Argo Events.",
+        default=existing_env.get("METAFLOW_ARGO_EVENTS_EVENT", ""),
+        show_default=True,
+    )
+
+    # Argo events webhook url
+    env["METAFLOW_ARGO_EVENTS_WEBHOOK_URL"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_WEBHOOK_URL]")
+        + " Publicly accessible URL for Argo Events Webhook.",
+        default=existing_env.get("METAFLOW_ARGO_EVENTS_WEBHOOK_URL", ""),
+        show_default=True,
+    )
+    # Set internal URL for Argo events webhook
+    env["METAFLOW_ARGO_EVENTS_INTERNAL_WEBHOOK_URL"] = click.prompt(
+        cyan("[METAFLOW_ARGO_EVENTS_INTERNAL_WEBHOOK_URL]")
+        + yellow(" (optional)")
+        + " URL for Argo Events Webhook "
+        + "(Accessible only within a Kubernetes cluster).",
+        default=existing_env.get(
+            "METAFLOW_ARGO_EVENTS_INTERNAL_WEBHOOK_URL",
+            env["METAFLOW_ARGO_EVENTS_WEBHOOK_URL"],
+        ),
+        show_default=True,
+    )
+
+    return env
+
+
 def configure_kubernetes(existing_env):
     empty_profile = False
     if not existing_env:
@@ -723,7 +785,6 @@ def verify_gcp_credentials(ctx):
 )
 @click.pass_context
 def azure(ctx, profile):
-
     # Greet the user!
     echo(
         "Welcome to Metaflow! Follow the prompts to configure your installation.\n",
@@ -765,7 +826,6 @@ def azure(ctx, profile):
 )
 @click.pass_context
 def gcp(ctx, profile):
-
     # Greet the user!
     echo(
         "Welcome to Metaflow! Follow the prompts to configure your installation.\n",
@@ -807,7 +867,6 @@ def gcp(ctx, profile):
 )
 @click.pass_context
 def aws(ctx, profile):
-
     # Greet the user!
     echo(
         "Welcome to Metaflow! Follow the prompts to configure your " "installation.\n",
@@ -855,7 +914,6 @@ def aws(ctx, profile):
 )
 @click.pass_context
 def kubernetes(ctx, profile):
-
     check_kubernetes_client(ctx)
 
     # Greet the user!
@@ -903,4 +961,8 @@ def kubernetes(ctx, profile):
     # Configure Kubernetes for compute.
     env.update(configure_kubernetes(existing_env))
 
+    # Configure Argo Workflows Events
+    if click.confirm("\nConfigure support for Argo Workflow Events?"):
+        env.update(configure_argo_events(existing_env))
+
     persist_env({k: v for k, v in env.items() if v}, profile)
diff --git a/metaflow/cmd/develop/__init__.py b/metaflow/cmd/develop/__init__.py
new file mode 100644
index 00000000000..25fad818c98
--- /dev/null
+++ b/metaflow/cmd/develop/__init__.py
@@ -0,0 +1,42 @@
+from typing import Any
+
+from metaflow.cli import echo_dev_null, echo_always
+from metaflow._vendor import click
+
+
+class CommandObj:
+    def __init__(self):
+        pass
+
+
+@click.group()
+@click.pass_context
+def cli(ctx):
+    pass
+
+
+@cli.group(help="Metaflow develop commands")
+@click.option(
+    "--quiet/--no-quiet",
+    show_default=True,
+    default=False,
+    help="Suppress unnecessary messages",
+)
+@click.pass_context
+def develop(
+    ctx: Any,
+    quiet: bool,
+):
+    if quiet:
+        echo = echo_dev_null
+    else:
+        echo = echo_always
+
+    obj = CommandObj()
+    obj.quiet = quiet
+    obj.echo = echo
+    obj.echo_always = echo_always
+    ctx.obj = obj
+
+
+from . import stubs
diff --git a/metaflow/cmd/develop/stub_generator.py b/metaflow/cmd/develop/stub_generator.py
new file mode 100644
index 00000000000..50d9ca29fc3
--- /dev/null
+++ b/metaflow/cmd/develop/stub_generator.py
@@ -0,0 +1,1568 @@
+import functools
+import importlib
+import inspect
+import math
+import os
+import pathlib
+import re
+import time
+import typing
+from datetime import datetime
+from io import StringIO
+from types import ModuleType
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    ForwardRef,
+    Iterable,
+    List,
+    NewType,
+    Optional,
+    Set,
+    Tuple,
+    TypeVar,
+    Union,
+    cast,
+)
+
+from metaflow import FlowSpec, step
+from metaflow.debug import debug
+from metaflow.decorators import Decorator, FlowDecorator
+from metaflow.extension_support import get_aliased_modules
+from metaflow.metaflow_current import Current
+from metaflow.metaflow_version import get_version
+from metaflow.runner.deployer import DeployedFlow, Deployer, TriggeredRun
+from metaflow.runner.deployer_impl import DeployerImpl
+
+TAB = "    "
+METAFLOW_CURRENT_MODULE_NAME = "metaflow.metaflow_current"
+METAFLOW_DEPLOYER_MODULE_NAME = "metaflow.runner.deployer"
+
+param_section_header = re.compile(r"Parameters\s*\n----------\s*\n", flags=re.M)
+return_section_header = re.compile(r"Returns\s*\n-------\s*\n", flags=re.M)
+add_to_current_header = re.compile(
+    r"MF Add To Current\s*\n-----------------\s*\n", flags=re.M
+)
+non_indented_line = re.compile(r"^\S+.*$")
+param_name_type = re.compile(r"^(?P\S+)(?:\s*:\s*(?P.*))?$")
+type_annotations = re.compile(
+    r"(?P.*?)(?P, optional|\(optional\))?(?:, [Dd]efault(?: is | = |: |s to |)\s*(?P.*))?$"
+)
+
+FlowSpecDerived = TypeVar("FlowSpecDerived", bound=FlowSpec)
+
+StepFlag = NewType("StepFlag", bool)
+
+MetaflowStepFunction = Union[
+    Callable[[FlowSpecDerived, StepFlag], None],
+    Callable[[FlowSpecDerived, Any, StepFlag], None],
+]
+
+
+# Object that has start() and end() like a Match object to make the code simpler when
+# we are parsing different sections of doc
+class StartEnd:
+    def __init__(self, start: int, end: int):
+        self._start = start
+        self._end = end
+
+    def start(self):
+        return self._start
+
+    def end(self):
+        return self._end
+
+
+def type_var_to_str(t: TypeVar) -> str:
+    bound_name = None
+    if t.__bound__ is not None:
+        if isinstance(t.__bound__, typing.ForwardRef):
+            bound_name = t.__bound__.__forward_arg__
+        else:
+            bound_name = t.__bound__.__name__
+    return 'typing.TypeVar("%s", %scontravariant=%s, covariant=%s%s)' % (
+        t.__name__,
+        'bound="%s", ' % bound_name if t.__bound__ else "",
+        t.__contravariant__,
+        t.__covariant__,
+        ", ".join([""] + [c.__name__ for c in t.__constraints__]),
+    )
+
+
+def new_type_to_str(t: typing.NewType) -> str:
+    return 'typing.NewType("%s", %s)' % (t.__name__, t.__supertype__.__name__)
+
+
+def descend_object(object: str, options: Iterable[str]):
+    # Returns true if:
+    #  - options contains a prefix of object
+    #  - the component after the prefix does not start with _
+    for opt in options:
+        new_object = object.removeprefix(opt)
+        if len(new_object) == len(object):
+            # There was no prefix, so we continue
+            continue
+        # Using [1] to skip the inevitable "."
+        if len(new_object) == 0 or new_object[1] != "_":
+            return True
+    return False
+
+
+def parse_params_from_doc(doc: str) -> Tuple[List[inspect.Parameter], bool]:
+    parameters = []
+    no_arg_version = True
+    for line in doc.splitlines():
+        if non_indented_line.match(line):
+            match = param_name_type.match(line)
+            arg_name = type_name = is_optional = default = None
+            default_set = False
+            if match is not None:
+                arg_name = match.group("name")
+                type_name = match.group("type")
+                if type_name is not None:
+                    type_detail = type_annotations.match(type_name)
+                    if type_detail is not None:
+                        type_name = type_detail.group("type")
+                        is_optional = type_detail.group("optional") is not None
+                        default = type_detail.group("default")
+                        if default:
+                            default_set = True
+                        try:
+                            default = eval(default)
+                        except:
+                            pass
+                        try:
+                            type_name = eval(type_name)
+                        except:
+                            pass
+                parameters.append(
+                    inspect.Parameter(
+                        name=arg_name,
+                        kind=inspect.Parameter.KEYWORD_ONLY,
+                        default=(
+                            default
+                            if default_set
+                            else None if is_optional else inspect.Parameter.empty
+                        ),
+                        annotation=(Optional[type_name] if is_optional else type_name),
+                    )
+                )
+                if not default_set:
+                    # If we don't have a default set for any parameter, we can't
+                    # have a no-arg version since the function would be incomplete
+                    no_arg_version = False
+    return parameters, no_arg_version
+
+
+def split_docs(
+    raw_doc: str, boundaries: List[Tuple[str, Union[StartEnd, re.Match]]]
+) -> Dict[str, str]:
+    docs = dict()
+    boundaries.sort(key=lambda x: x[1].start())
+
+    section_start = 0
+    for idx in range(1, len(boundaries)):
+        docs[boundaries[idx - 1][0]] = raw_doc[
+            section_start : boundaries[idx][1].start()
+        ]
+        section_start = boundaries[idx][1].end()
+    docs[boundaries[-1][0]] = raw_doc[section_start:]
+    return docs
+
+
+def parse_add_to_docs(
+    raw_doc: str,
+) -> Dict[str, Union[Tuple[inspect.Signature, str], str]]:
+    prop = None
+    return_type = None
+    property_indent = None
+    doc = []
+    add_to_docs = dict()  # type: Dict[str, Union[str, Tuple[inspect.Signature, str]]]
+
+    def _add():
+        if prop:
+            add_to_docs[prop] = (
+                inspect.Signature(
+                    [
+                        inspect.Parameter(
+                            "self", inspect.Parameter.POSITIONAL_OR_KEYWORD
+                        )
+                    ],
+                    return_annotation=return_type,
+                ),
+                "\n".join(doc),
+            )
+
+    for line in raw_doc.splitlines():
+        # Parse stanzas that look like the following:
+        #  -> type
+        # indented doc string
+        if property_indent is not None and (
+            line.startswith(property_indent + " ") or line.strip() == ""
+        ):
+            offset = len(property_indent)
+            if line.lstrip().startswith("@@ "):
+                line = line.replace("@@ ", "")
+            doc.append(line[offset:].rstrip())
+        else:
+            if line.strip() == 0:
+                continue
+            if prop:
+                # Ends a property stanza
+                _add()
+            # Now start a new one
+            line = line.rstrip()
+            property_indent = line[: len(line) - len(line.lstrip())]
+            # Either this has a -> to denote a property or it is a pure name
+            # to denote a reference to a function (starting with #)
+            line = line.lstrip()
+            if line.startswith("#"):
+                # The name of the function is the last part like metaflow.deployer.run
+                add_to_docs[line.split(".")[-1]] = line[1:]
+                continue
+            # This is a line so we split it using "->"
+            prop, return_type = line.split("->")
+            prop = prop.strip()
+            return_type = return_type.strip()
+            doc = []
+    _add()
+    return add_to_docs
+
+
+def add_indent(indentation: str, text: str) -> str:
+    return "\n".join([indentation + line for line in text.splitlines()])
+
+
+class StubGenerator:
+    """
+    This class takes the name of a library as input and a directory as output.
+
+    It will then generate the corresponding stub files for each defined type
+    (generic variables, functions, classes, etc.) at run time.
+    This means that the code for the library is not statically parsed, but it is
+    executed and then the types are dynamically created and analyzed to produce the stub
+    files.
+
+    The only items analyzes are those that belong to the library (ie: anything in
+    the library or below it but not any external imports)
+    """
+
+    def __init__(self, output_dir: str, include_generated_for: bool = True):
+        """
+        Initializes the StubGenerator.
+        :param file_path: the file path
+        :type file_path: str
+        :param members_from_other_modules: the names of the members defined in other module to be analyzed
+        :type members_from_other_modules: List[str]
+        """
+
+        # Let metaflow know we are in stubgen mode. This is sometimes useful to skip
+        # some processing like loading libraries, etc. It is used in Metaflow extensions
+        # so do not remove even if you do not see a use for it directly in the code.
+        os.environ["METAFLOW_STUBGEN"] = "1"
+
+        self._write_generated_for = include_generated_for
+        # First element is the name it should be installed in (alias) and second is the
+        # actual module name
+        self._pending_modules = [
+            ("metaflow", "metaflow")
+        ]  # type: List[Tuple[str, str]]
+        self._root_module = "metaflow."
+        self._safe_modules = ["metaflow.", "metaflow_extensions."]
+
+        self._pending_modules.extend(
+            (self._get_module_name_alias(x), x) for x in get_aliased_modules()
+        )
+
+        # We exclude some modules to not create a bunch of random non-user facing
+        # .pyi files.
+        self._exclude_modules = set(
+            [
+                "metaflow.cli_args",
+                "metaflow.cmd",
+                "metaflow.cmd_with_io",
+                "metaflow.datastore",
+                "metaflow.debug",
+                "metaflow.decorators",
+                "metaflow.event_logger",
+                "metaflow.extension_support",
+                "metaflow.graph",
+                "metaflow.integrations",
+                "metaflow.lint",
+                "metaflow.metaflow_metadata",
+                "metaflow.metaflow_config_funcs",
+                "metaflow.metaflow_environment",
+                "metaflow.metaflow_profile",
+                "metaflow.metaflow_version",
+                "metaflow.mflog",
+                "metaflow.monitor",
+                "metaflow.package",
+                "metaflow.plugins.datastores",
+                "metaflow.plugins.env_escape",
+                "metaflow.plugins.metadata_providers",
+                "metaflow.procpoll.py",
+                "metaflow.R",
+                "metaflow.runtime",
+                "metaflow.sidecar",
+                "metaflow.task",
+                "metaflow.tracing",
+                "metaflow.unbounded_foreach",
+                "metaflow.util",
+                "metaflow._vendor",
+            ]
+        )
+
+        self._done_modules = set()  # type: Set[str]
+        self._output_dir = output_dir
+        self._mf_version = get_version()
+
+        # Contains the names of the methods that are injected in Deployer
+        self._deployer_injected_methods = (
+            {}
+        )  # type: Dict[str, Dict[str, Union[Tuple[str, str], str]]]
+        # Contains information to add to the Current object (injected by decorators)
+        self._addl_current = (
+            dict()
+        )  # type: Dict[str, Dict[str, Tuple[inspect.Signature, str]]]
+
+        self._reset()
+
+    def _reset(self):
+        # "Globals" that are used throughout processing. This is not the cleanest
+        # but simplifies code quite a bit.
+
+        # Imports that are needed at the top of the file
+        self._imports = set()  # type: Set[str]
+
+        self._sub_module_imports = set()  # type: Set[Tuple[str, str]]``
+        # Typing imports (behind if TYPE_CHECKING) that are needed at the top of the file
+        self._typing_imports = set()  # type: Set[str]
+        # Typevars that are defined
+        self._typevars = dict()  # type: Dict[str, Union[TypeVar, type]]
+        # Current objects in the file being processed
+        self._current_objects = {}  # type: Dict[str, Any]
+        self._current_references = []  # type: List[str]
+        # Current stubs in the file being processed
+        self._stubs = []  # type: List[str]
+
+        # These have a shorter "scope"
+        # Current parent module of the object being processed -- used to determine
+        # the "globals()"
+        self._current_parent_module = None  # type: Optional[ModuleType]
+
+    def _get_module_name_alias(self, module_name):
+        if any(
+            module_name.startswith(x) for x in self._safe_modules
+        ) and not module_name.startswith(self._root_module):
+            return self._root_module + ".".join(
+                ["mf_extensions", *module_name.split(".")[1:]]
+            )
+        return module_name
+
+    def _get_relative_import(
+        self, new_module_name, cur_module_name, is_init_module=False
+    ):
+        new_components = new_module_name.split(".")
+        cur_components = cur_module_name.split(".")
+        init_module_count = 1 if is_init_module else 0
+        common_idx = 0
+        max_idx = min(len(new_components), len(cur_components))
+        while (
+            common_idx < max_idx
+            and new_components[common_idx] == cur_components[common_idx]
+        ):
+            common_idx += 1
+        # current: a.b and parent: a.b.e.d -> from .e.d import 
+        # current: a.b.c.d and parent: a.b.e.f -> from ...e.f import 
+        return "." * (len(cur_components) - common_idx + init_module_count) + ".".join(
+            new_components[common_idx:]
+        )
+
+    def _get_module(self, alias, name):
+        debug.stubgen_exec("Analyzing module %s (aliased at %s)..." % (name, alias))
+        self._current_module = importlib.import_module(name)
+        self._current_module_name = alias
+        for objname, obj in self._current_module.__dict__.items():
+            if objname == "_addl_stubgen_modules":
+                debug.stubgen_exec(
+                    "Adding modules %s from _addl_stubgen_modules" % str(obj)
+                )
+                self._pending_modules.extend(
+                    (self._get_module_name_alias(m), m) for m in obj
+                )
+                continue
+            if objname.startswith("_"):
+                debug.stubgen_exec(
+                    "Skipping object because it starts with _ %s" % objname
+                )
+                continue
+            if inspect.ismodule(obj):
+                # Only consider modules that are safe modules
+                if (
+                    any(obj.__name__.startswith(m) for m in self._safe_modules)
+                    and not obj.__name__ in self._exclude_modules
+                ):
+                    debug.stubgen_exec(
+                        "Adding child module %s to process" % obj.__name__
+                    )
+
+                    new_module_alias = self._get_module_name_alias(obj.__name__)
+                    self._pending_modules.append((new_module_alias, obj.__name__))
+
+                    new_parent, new_name = new_module_alias.rsplit(".", 1)
+                    self._current_references.append(
+                        "from %s import %s as %s"
+                        % (
+                            self._get_relative_import(
+                                new_parent,
+                                alias,
+                                hasattr(self._current_module, "__path__"),
+                            ),
+                            new_name,
+                            objname,
+                        )
+                    )
+                else:
+                    debug.stubgen_exec("Skipping child module %s" % obj.__name__)
+            else:
+                parent_module = inspect.getmodule(obj)
+                # For objects we include:
+                #  - stuff that is a functools.partial (these are all the decorators;
+                #    we could be more specific but good enough for now) for root module.
+                #    We also include the step decorator (it's from metaflow.decorators
+                #    which is typically excluded)
+                #  - Stuff that is defined in this module itself
+                #  - a reference to anything in the modules we will process later
+                #    (so we don't duplicate a ton of times)
+
+                if (
+                    parent_module is None
+                    or (
+                        name + "." == self._root_module
+                        and (
+                            (parent_module.__name__.startswith("functools"))
+                            or obj == step
+                        )
+                    )
+                    or parent_module.__name__ == name
+                ):
+                    debug.stubgen_exec("Adding object %s to process" % objname)
+                    self._current_objects[objname] = obj
+
+                elif not any(
+                    [
+                        parent_module.__name__.startswith(p)
+                        for p in self._exclude_modules
+                    ]
+                ) and any(
+                    [parent_module.__name__.startswith(p) for p in self._safe_modules]
+                ):
+                    parent_alias = self._get_module_name_alias(parent_module.__name__)
+
+                    relative_import = self._get_relative_import(
+                        parent_alias, alias, hasattr(self._current_module, "__path__")
+                    )
+
+                    debug.stubgen_exec(
+                        "Adding reference %s and adding module %s as %s"
+                        % (objname, parent_module.__name__, parent_alias)
+                    )
+                    obj_import_name = getattr(obj, "__name__", objname)
+                    if obj_import_name == "":
+                        # We have one case of this
+                        obj_import_name = objname
+                    self._current_references.append(
+                        "from %s import %s as %s"
+                        % (relative_import, obj_import_name, objname)
+                    )
+                    self._pending_modules.append((parent_alias, parent_module.__name__))
+                else:
+                    debug.stubgen_exec("Skipping object %s" % objname)
+
+    def _get_element_name_with_module(
+        self, element: Union[TypeVar, type, Any], force_import=False
+    ) -> str:
+        # The element can be a string, for example "def f() -> 'SameClass':..."
+        def _add_to_import(name):
+            if name != self._current_module_name:
+                self._imports.add(name)
+
+        def _add_to_typing_check(name, is_module=False):
+            if name == "None":
+                return
+            if is_module:
+                self._typing_imports.add(name)
+            else:
+                splits = name.rsplit(".", 1)
+                if len(splits) > 1 and not (
+                    len(splits) == 2 and splits[0] == self._current_module_name
+                ):
+                    # We don't add things that are just one name -- probably things within
+                    # the current file
+                    self._typing_imports.add(splits[0])
+
+        def _format_qualified_class_name(cls: type) -> str:
+            """Helper to format a class with its qualified module name"""
+            # Special case for NoneType - return None
+            if cls.__name__ == "NoneType":
+                return "None"
+
+            module = inspect.getmodule(cls)
+            if (
+                module
+                and module.__name__ != "builtins"
+                and module.__name__ != "__main__"
+            ):
+                module_name = self._get_module_name_alias(module.__name__)
+                _add_to_typing_check(module_name, is_module=True)
+                return f"{module_name}.{cls.__name__}"
+            else:
+                return cls.__name__
+
+        if isinstance(element, str):
+            # Special case for self referential things (particularly in a class)
+            if element == self._current_name:
+                return '"%s"' % element
+            # We first try to eval the annotation because with the annotations future
+            # it is always a string
+            try:
+                potential_element = eval(
+                    element,
+                    (
+                        self._current_parent_module.__dict__
+                        if self._current_parent_module
+                        else None
+                    ),
+                )
+                if potential_element:
+                    element = potential_element
+            except:
+                pass
+
+        if isinstance(element, str):
+            # If we are in our "safe" modules, make sure we alias properly
+            if any(element.startswith(x) for x in self._safe_modules):
+                element = self._get_module_name_alias(element)
+            _add_to_typing_check(element)
+            return '"%s"' % element
+        # 3.10+ has NewType as a class but not before so hack around to check for NewType
+        elif isinstance(element, TypeVar) or hasattr(element, "__supertype__"):
+            if not element.__name__ in self._typevars:
+                self._typevars[element.__name__] = element
+            return element.__name__
+        elif isinstance(element, type):
+            module = inspect.getmodule(element)
+            if (
+                module is None
+                or module.__name__ == "builtins"
+                or module.__name__ == "__main__"
+            ):
+                # Special case for "NoneType" -- return None as NoneType is only 3.10+
+                if element.__name__ == "NoneType":
+                    return "None"
+                return element.__name__
+
+            module_name = self._get_module_name_alias(module.__name__)
+            if force_import:
+                _add_to_import(module_name.split(".")[0])
+            _add_to_typing_check(module_name, is_module=True)
+            if module_name != self._current_module_name:
+                return "{0}.{1}".format(module_name, element.__name__)
+            else:
+                return element.__name__
+        elif isinstance(element, type(Ellipsis)):
+            return "..."
+        elif isinstance(element, typing._GenericAlias):
+            # We need to check things recursively in __args__ if it exists
+            args_str = []
+            for arg in getattr(element, "__args__", []):
+                # Special handling for class objects in type arguments
+                if isinstance(arg, type):
+                    args_str.append(_format_qualified_class_name(arg))
+                else:
+                    args_str.append(self._get_element_name_with_module(arg))
+
+            _add_to_import("typing")
+            if element._name:
+                if element._name == "Optional":
+                    # We don't want to include NoneType in the string -- it breaks things
+                    args_str = args_str[:1]
+                elif element._name == "Callable":
+                    # We need to make this a list of everything except the end one
+                    # except if it is an ellipsis
+                    if args_str[0] != "...":
+                        call_args = "[" + ", ".join(args_str[:-1]) + "]"
+                        args_str = [call_args, args_str[-1]]
+                return "typing.%s[%s]" % (element._name, ", ".join(args_str))
+            else:
+                # Handle the case where we have a generic type without a _name
+                origin = element.__origin__
+                if isinstance(origin, type):
+                    origin_str = _format_qualified_class_name(origin)
+                else:
+                    origin_str = str(origin)
+                return "%s[%s]" % (origin_str, ", ".join(args_str))
+        elif isinstance(element, ForwardRef):
+            f_arg = self._get_module_name_alias(element.__forward_arg__)
+            _add_to_typing_check(f_arg)
+            return '"%s"' % f_arg
+        elif inspect.getmodule(element) == inspect.getmodule(typing):
+            _add_to_import("typing")
+            # Special handling for NamedTuple which is a function
+            if hasattr(element, "__name__") and element.__name__ == "NamedTuple":
+                return "typing.NamedTuple"
+            return str(element)
+        else:
+            if hasattr(element, "__module__"):
+                elem_module = self._get_module_name_alias(element.__module__)
+                if elem_module == "builtins":
+                    return getattr(element, "__name__", str(element))
+                _add_to_typing_check(elem_module, is_module=True)
+                return "{0}.{1}".format(
+                    elem_module, getattr(element, "__name__", element)
+                )
+            else:
+                # A constant
+                return str(element)
+
+    def _exploit_annotation(self, annotation: Any, starting: str = ": ") -> str:
+        annotation_string = ""
+        if annotation and annotation != inspect.Parameter.empty:
+            annotation_string += starting + self._get_element_name_with_module(
+                annotation
+            )
+        return annotation_string
+
+    def _generate_class_stub(self, name: str, clazz: type) -> str:
+        debug.stubgen_exec("Generating class stub for %s" % name)
+        skip_init = issubclass(clazz, (TriggeredRun, DeployedFlow))
+        if issubclass(clazz, DeployerImpl):
+            if clazz.TYPE is not None:
+                clazz_type = clazz.TYPE.replace("-", "_")
+                self._deployer_injected_methods.setdefault(clazz_type, {})[
+                    "deployer"
+                ] = (self._current_module_name + "." + name)
+
+        # Handle TypedDict gracefully for Python 3.7 compatibility
+        # _TypedDictMeta is not available in Python 3.7
+        typed_dict_meta = getattr(typing, "_TypedDictMeta", None)
+        if typed_dict_meta is not None and isinstance(clazz, typed_dict_meta):
+            self._sub_module_imports.add(("typing", "TypedDict"))
+            total_flag = getattr(clazz, "__total__", False)
+            buff = StringIO()
+            # Emit the TypedDict base and total flag
+            buff.write(f"class {name}(TypedDict, total={total_flag}):\n")
+            # Write out each field from __annotations__
+            for field_name, field_type in clazz.__annotations__.items():
+                ann = self._get_element_name_with_module(field_type)
+                buff.write(f"{TAB}{field_name}: {ann}\n")
+            return buff.getvalue()
+
+        buff = StringIO()
+        # Class prototype
+        buff.write("class " + name.split(".")[-1] + "(")
+
+        # Add super classes
+        for c in clazz.__bases__:
+            name_with_module = self._get_element_name_with_module(c, force_import=True)
+            buff.write(name_with_module + ", ")
+
+        # Add metaclass
+        name_with_module = self._get_element_name_with_module(
+            clazz.__class__, force_import=True
+        )
+        buff.write("metaclass=" + name_with_module + "):\n")
+
+        # Add class docstring
+        if clazz.__doc__:
+            buff.write('%s"""\n' % TAB)
+            my_doc = inspect.cleandoc(clazz.__doc__)
+            init_blank = True
+            for line in my_doc.split("\n"):
+                if init_blank and len(line.strip()) == 0:
+                    continue
+                init_blank = False
+                buff.write("%s%s\n" % (TAB, line.rstrip()))
+            buff.write('%s"""\n' % TAB)
+
+        # For NamedTuple, we have __annotations__ but no __init__. In that case,
+        # we are going to "create" a __init__ function with the annotations
+        # to show what the class takes.
+        annotation_dict = None
+        init_func = None
+        for key, element in clazz.__dict__.items():
+            func_deco = None
+            if isinstance(element, staticmethod):
+                func_deco = "@staticmethod"
+                element = element.__func__
+            elif isinstance(element, classmethod):
+                func_deco = "@classmethod"
+                element = element.__func__
+            if key == "__init__":
+                if skip_init:
+                    continue
+                init_func = element
+            elif key == "__annotations__":
+                annotation_dict = element
+            if inspect.isfunction(element):
+                if not element.__name__.startswith("_") or element.__name__.startswith(
+                    "__"
+                ):
+                    if (
+                        clazz == Deployer
+                        and element.__name__ in self._deployer_injected_methods
+                    ):
+                        # This is a method that was injected. It has docs but we need
+                        # to parse it to generate the proper signature
+                        func_doc = inspect.cleandoc(element.__doc__)
+                        docs = split_docs(
+                            func_doc,
+                            [
+                                ("func_doc", StartEnd(0, 0)),
+                                (
+                                    "param_doc",
+                                    param_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                                (
+                                    "return_doc",
+                                    return_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                            ],
+                        )
+
+                        parameters, _ = parse_params_from_doc(docs["param_doc"])
+                        return_type = self._deployer_injected_methods[element.__name__][
+                            "deployer"
+                        ]
+
+                        buff.write(
+                            self._generate_function_stub(
+                                key,
+                                element,
+                                sign=[
+                                    inspect.Signature(
+                                        parameters=[
+                                            inspect.Parameter(
+                                                "self",
+                                                inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                            )
+                                        ]
+                                        + parameters,
+                                        return_annotation=return_type,
+                                    )
+                                ],
+                                indentation=TAB,
+                                deco=func_deco,
+                            )
+                        )
+                    elif (
+                        clazz == DeployedFlow and element.__name__ == "from_deployment"
+                    ):
+                        # We simply update the signature to list the return
+                        # type as a union of all possible deployers
+                        func_doc = inspect.cleandoc(element.__doc__)
+                        docs = split_docs(
+                            func_doc,
+                            [
+                                ("func_doc", StartEnd(0, 0)),
+                                (
+                                    "param_doc",
+                                    param_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                                (
+                                    "return_doc",
+                                    return_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                            ],
+                        )
+
+                        parameters, _ = parse_params_from_doc(docs["param_doc"])
+
+                        def _create_multi_type(*l):
+                            return typing.Union[l]
+
+                        all_types = [
+                            v["from_deployment"][0]
+                            for v in self._deployer_injected_methods.values()
+                        ]
+
+                        if len(all_types) > 1:
+                            return_type = _create_multi_type(*all_types)
+                        else:
+                            return_type = all_types[0] if len(all_types) else None
+
+                        buff.write(
+                            self._generate_function_stub(
+                                key,
+                                element,
+                                sign=[
+                                    inspect.Signature(
+                                        parameters=[
+                                            inspect.Parameter(
+                                                "cls",
+                                                inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                            )
+                                        ]
+                                        + parameters,
+                                        return_annotation=return_type,
+                                    )
+                                ],
+                                indentation=TAB,
+                                doc=docs["func_doc"]
+                                + "\n\nParameters\n----------\n"
+                                + docs["param_doc"]
+                                + "\n\nReturns\n-------\n"
+                                + "%s\nA `DeployedFlow` object" % str(return_type),
+                                deco=func_deco,
+                            )
+                        )
+                    elif (
+                        clazz == DeployedFlow
+                        and element.__name__.startswith("from_")
+                        and element.__name__[5:] in self._deployer_injected_methods
+                    ):
+                        # Get the doc from the from_deployment method stored in
+                        # self._deployer_injected_methods
+                        func_doc = inspect.cleandoc(
+                            self._deployer_injected_methods[element.__name__[5:]][
+                                "from_deployment"
+                            ][1]
+                            or ""
+                        )
+                        docs = split_docs(
+                            func_doc,
+                            [
+                                ("func_doc", StartEnd(0, 0)),
+                                (
+                                    "param_doc",
+                                    param_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                                (
+                                    "return_doc",
+                                    return_section_header.search(func_doc)
+                                    or StartEnd(len(func_doc), len(func_doc)),
+                                ),
+                            ],
+                        )
+
+                        parameters, _ = parse_params_from_doc(docs["param_doc"])
+                        return_type = self._deployer_injected_methods[
+                            element.__name__[5:]
+                        ]["from_deployment"][0]
+
+                        buff.write(
+                            self._generate_function_stub(
+                                key,
+                                element,
+                                sign=[
+                                    inspect.Signature(
+                                        parameters=[
+                                            inspect.Parameter(
+                                                "cls",
+                                                inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                            )
+                                        ]
+                                        + parameters,
+                                        return_annotation=return_type,
+                                    )
+                                ],
+                                indentation=TAB,
+                                doc=docs["func_doc"]
+                                + "\n\nParameters\n----------\n"
+                                + docs["param_doc"]
+                                + "\n\nReturns\n-------\n"
+                                + docs["return_doc"],
+                                deco=func_deco,
+                            )
+                        )
+                    else:
+                        if (
+                            issubclass(clazz, DeployedFlow)
+                            and clazz.TYPE is not None
+                            and key == "from_deployment"
+                        ):
+                            clazz_type = clazz.TYPE.replace("-", "_")
+                            # Record docstring for this function
+                            self._deployer_injected_methods.setdefault(clazz_type, {})[
+                                "from_deployment"
+                            ] = (
+                                self._current_module_name + "." + name,
+                                element.__doc__,
+                            )
+                        buff.write(
+                            self._generate_function_stub(
+                                key,
+                                element,
+                                indentation=TAB,
+                                deco=func_deco,
+                            )
+                        )
+
+            elif isinstance(element, property):
+                if element.fget:
+                    buff.write(
+                        self._generate_function_stub(
+                            key, element.fget, indentation=TAB, deco="@property"
+                        )
+                    )
+                if element.fset:
+                    buff.write(
+                        self._generate_function_stub(
+                            key, element.fset, indentation=TAB, deco="@%s.setter" % key
+                        )
+                    )
+
+        # Special handling of classes that have injected methods
+        if clazz == Current:
+            # Multiple decorators can add the same object (trigger and trigger_on_finish)
+            # as examples so we sort it out.
+            resulting_dict = (
+                dict()
+            )  # type Dict[str, List[inspect.Signature, str, List[str]]]
+            for deco_name, addl_current in self._addl_current.items():
+                for name, (sign, doc) in addl_current.items():
+                    r = resulting_dict.setdefault(name, [sign, doc, []])
+                    r[2].append("@%s" % deco_name)
+            for name, (sign, doc, decos) in resulting_dict.items():
+                buff.write(
+                    self._generate_function_stub(
+                        name,
+                        sign=[sign],
+                        indentation=TAB,
+                        doc="(only in the presence of the %s decorator%s)\n\n"
+                        % (", or ".join(decos), "" if len(decos) == 1 else "s")
+                        + doc,
+                        deco="@property",
+                    )
+                )
+
+        if not skip_init and init_func is None and annotation_dict:
+            buff.write(
+                self._generate_function_stub(
+                    "__init__",
+                    func=None,
+                    sign=[
+                        inspect.Signature(
+                            parameters=[
+                                inspect.Parameter(
+                                    name="self",
+                                    kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                )
+                            ]
+                            + [
+                                inspect.Parameter(
+                                    name=name,
+                                    kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                    annotation=annotation,
+                                )
+                                for name, annotation in annotation_dict.items()
+                            ]
+                        )
+                    ],
+                    indentation=TAB,
+                )
+            )
+        buff.write("%s...\n" % TAB)
+
+        return buff.getvalue()
+
+    def _extract_signature_from_decorator(
+        self, name: str, raw_doc: Optional[str], is_flow_decorator: bool = False
+    ) -> Optional[List[Tuple[inspect.Signature, str]]]:
+        # TODO: This only handles the `Parameters` section for now; we are
+        # using it only to parse the documentation for step/flow decorators so
+        # this is enough for now but it could be extended more.
+        # Inspired from:
+        # https://github.com/rr-/docstring_parser/blob/master/docstring_parser/numpydoc.py
+        if raw_doc is None:
+            return None
+
+        if not "FlowSpecDerived" in self._typevars:
+            self._typevars["FlowSpecDerived"] = FlowSpecDerived
+            self._typevars["StepFlag"] = StepFlag
+
+        raw_doc = inspect.cleandoc(raw_doc)
+        section_boundaries = [
+            ("func_doc", StartEnd(0, 0)),
+            (
+                "param_doc",
+                param_section_header.search(raw_doc)
+                or StartEnd(len(raw_doc), len(raw_doc)),
+            ),
+            (
+                "add_to_current_doc",
+                add_to_current_header.search(raw_doc)
+                or StartEnd(len(raw_doc), len(raw_doc)),
+            ),
+        ]
+
+        docs = split_docs(raw_doc, section_boundaries)
+        parameters, no_arg_version = parse_params_from_doc(docs["param_doc"])
+
+        if docs["add_to_current_doc"]:
+            self._addl_current[name] = parse_add_to_docs(docs["add_to_current_doc"])
+
+        result = []
+        if no_arg_version:
+            if is_flow_decorator:
+                if docs["param_doc"]:
+                    result.append(
+                        (
+                            inspect.Signature(
+                                parameters=parameters,
+                                return_annotation=Callable[
+                                    [typing.Type[FlowSpecDerived]],
+                                    typing.Type[FlowSpecDerived],
+                                ],
+                            ),
+                            "",
+                        )
+                    )
+                result.append(
+                    (
+                        inspect.Signature(
+                            parameters=[
+                                inspect.Parameter(
+                                    name="f",
+                                    kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                    annotation=typing.Type[FlowSpecDerived],
+                                )
+                            ],
+                            return_annotation=typing.Type[FlowSpecDerived],
+                        ),
+                        "",
+                    ),
+                )
+            else:
+                if docs["param_doc"]:
+                    result.append(
+                        (
+                            inspect.Signature(
+                                parameters=parameters,
+                                return_annotation=typing.Callable[
+                                    [MetaflowStepFunction], MetaflowStepFunction
+                                ],
+                            ),
+                            "",
+                        )
+                    )
+                result.extend(
+                    [
+                        (
+                            inspect.Signature(
+                                parameters=[
+                                    inspect.Parameter(
+                                        name="f",
+                                        kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                        annotation=Callable[
+                                            [FlowSpecDerived, StepFlag], None
+                                        ],
+                                    )
+                                ],
+                                return_annotation=Callable[
+                                    [FlowSpecDerived, StepFlag], None
+                                ],
+                            ),
+                            "",
+                        ),
+                        (
+                            inspect.Signature(
+                                parameters=[
+                                    inspect.Parameter(
+                                        name="f",
+                                        kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                        annotation=Callable[
+                                            [FlowSpecDerived, Any, StepFlag], None
+                                        ],
+                                    )
+                                ],
+                                return_annotation=Callable[
+                                    [FlowSpecDerived, Any, StepFlag], None
+                                ],
+                            ),
+                            "",
+                        ),
+                    ]
+                )
+
+        if is_flow_decorator:
+            result = result + [
+                (
+                    inspect.Signature(
+                        parameters=(
+                            [
+                                inspect.Parameter(
+                                    name="f",
+                                    kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                    annotation=Optional[typing.Type[FlowSpecDerived]],
+                                    default=(
+                                        None
+                                        if no_arg_version
+                                        else inspect.Parameter.empty
+                                    ),
+                                )
+                            ]
+                            + parameters
+                            if no_arg_version
+                            else [] + parameters
+                        ),
+                        return_annotation=(
+                            inspect.Signature.empty
+                            if no_arg_version
+                            else Callable[
+                                [typing.Type[FlowSpecDerived]],
+                                typing.Type[FlowSpecDerived],
+                            ]
+                        ),
+                    ),
+                    "",
+                ),
+            ]
+        else:
+            result = result + [
+                (
+                    inspect.Signature(
+                        parameters=(
+                            [
+                                inspect.Parameter(
+                                    name="f",
+                                    kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                    annotation=Optional[MetaflowStepFunction],
+                                    default=(
+                                        None
+                                        if no_arg_version
+                                        else inspect.Parameter.empty
+                                    ),
+                                )
+                            ]
+                            + parameters
+                            if no_arg_version
+                            else [] + parameters
+                        ),
+                        return_annotation=(
+                            inspect.Signature.empty
+                            if no_arg_version
+                            else typing.Callable[
+                                [MetaflowStepFunction], MetaflowStepFunction
+                            ]
+                        ),
+                    ),
+                    "",
+                ),
+            ]
+        if len(result) == 2:
+            # If we only have one overload -- we don't need it at all. Happens for
+            # flow-level decorators that don't take any arguments
+            result = result[1:]
+        # Add doc to first and last overloads. Jedi uses the last one and pycharm
+        # the first one. Go figure.
+        result_docstring = docs["func_doc"]
+        if docs["param_doc"]:
+            result_docstring += "\nParameters\n----------\n" + docs["param_doc"]
+        result[0] = (
+            result[0][0],
+            result_docstring,
+        )
+        result[-1] = (
+            result[-1][0],
+            result_docstring,
+        )
+        return result
+
+    def _generate_function_stub(
+        self,
+        name: str,
+        func: Optional[Union[Callable, classmethod]] = None,
+        sign: Optional[List[inspect.Signature]] = None,
+        indentation: Optional[str] = None,
+        doc: Optional[str] = None,
+        deco: Optional[str] = None,
+    ) -> str:
+        debug.stubgen_exec("Generating function stub for %s" % name)
+
+        def exploit_default(default_value: Any) -> Optional[str]:
+            if default_value == inspect.Parameter.empty:
+                return None
+            if type(default_value).__module__ == "builtins":
+                if isinstance(default_value, list):
+                    return (
+                        "["
+                        + ", ".join(
+                            [cast(str, exploit_default(v)) for v in default_value]
+                        )
+                        + "]"
+                    )
+                elif isinstance(default_value, tuple):
+                    return (
+                        "("
+                        + ", ".join(
+                            [cast(str, exploit_default(v)) for v in default_value]
+                        )
+                        + ")"
+                    )
+                elif isinstance(default_value, dict):
+                    return (
+                        "{"
+                        + ", ".join(
+                            [
+                                cast(str, exploit_default(k))
+                                + ": "
+                                + cast(str, exploit_default(v))
+                                for k, v in default_value.items()
+                            ]
+                        )
+                        + "}"
+                    )
+                elif isinstance(default_value, str):
+                    return repr(default_value)  # Use repr() for proper escaping
+                elif isinstance(default_value, (int, float, bool)):
+                    return str(default_value)
+                elif default_value is None:
+                    return "None"
+                else:
+                    return "..."  # For other built-in types not explicitly handled
+            elif inspect.isclass(default_value) or inspect.isfunction(default_value):
+                if default_value.__module__ == "builtins":
+                    return default_value.__name__
+                else:
+                    self._typing_imports.add(default_value.__module__)
+                    return ".".join([default_value.__module__, default_value.__name__])
+            else:
+                return "..."  # For complex objects like class instances
+
+        buff = StringIO()
+        if sign is None and func is None:
+            raise RuntimeError(
+                "Cannot generate stub for function %s with either a function or signature"
+                % name
+            )
+        try:
+            sign = sign or [inspect.signature(cast(Callable, func))]
+        except ValueError:
+            # In 3.7, NamedTuples have properties that then give an operator.itemgetter
+            # which doesn't have a signature. We ignore for now. It doesn't have much
+            # value
+            return ""
+        doc = doc or func.__doc__
+        if doc == "STUBGEN_IGNORE":
+            # Ignore methods that have STUBGEN_IGNORE. Used to ignore certain
+            # methods for the Deployer
+            return ""
+        indentation = indentation or ""
+
+        # Deal with overload annotations -- the last one will be non overloaded and
+        # will be the one that shows up as the type hint (for Jedi and PyCharm which
+        # don't handle overloads as well)
+        do_overload = False
+        if sign and len(sign) > 1:
+            do_overload = True
+        for count, my_sign in enumerate(sign):
+            if count > 0:
+                buff.write("\n")
+
+            if do_overload and count < len(sign) - 1:
+                # According to mypy, we should have this on all variants but
+                # some IDEs seem to prefer if there is one non-overloaded
+                # This also changes our checks so if changing, modify tests
+                buff.write(indentation + "@typing.overload\n")
+            if deco:
+                buff.write(indentation + deco + "\n")
+            buff.write(indentation + "def " + name + "(")
+            kw_only_param = False
+            has_var_args = False
+            for i, (par_name, parameter) in enumerate(my_sign.parameters.items()):
+                annotation = self._exploit_annotation(parameter.annotation)
+                default = exploit_default(parameter.default)
+
+                if (
+                    kw_only_param
+                    and not has_var_args
+                    and parameter.kind != inspect.Parameter.KEYWORD_ONLY
+                ):
+                    raise RuntimeError(
+                        "In function '%s': cannot have a positional parameter after a "
+                        "keyword only parameter" % name
+                    )
+
+                if (
+                    parameter.kind == inspect.Parameter.KEYWORD_ONLY
+                    and not kw_only_param
+                    and not has_var_args
+                ):
+                    kw_only_param = True
+                    buff.write("*, ")
+                if parameter.kind == inspect.Parameter.VAR_KEYWORD:
+                    par_name = "**%s" % par_name
+                elif parameter.kind == inspect.Parameter.VAR_POSITIONAL:
+                    has_var_args = True
+                    par_name = "*%s" % par_name
+
+                if default:
+                    buff.write(par_name + annotation + " = " + default)
+                else:
+                    buff.write(par_name + annotation)
+
+                if i < len(my_sign.parameters) - 1:
+                    buff.write(", ")
+            ret_annotation = self._exploit_annotation(
+                my_sign.return_annotation, starting=" -> "
+            )
+            buff.write(")" + ret_annotation + ":\n")
+
+            if (count == 0 or count == len(sign) - 1) and doc is not None:
+                buff.write('%s%s"""\n' % (indentation, TAB))
+                my_doc = inspect.cleandoc(doc)
+                init_blank = True
+                for line in my_doc.split("\n"):
+                    if init_blank and len(line.strip()) == 0:
+                        continue
+                    init_blank = False
+                    buff.write("%s%s%s\n" % (indentation, TAB, line.rstrip()))
+                buff.write('%s%s"""\n' % (indentation, TAB))
+            buff.write("%s%s...\n" % (indentation, TAB))
+        return buff.getvalue()
+
+    def _generate_generic_stub(self, element_name: str, element: Any) -> str:
+        return "{0}: {1}\n".format(
+            element_name, self._get_element_name_with_module(type(element))
+        )
+
+    def _generate_stubs(self):
+        for name, attr in self._current_objects.items():
+            self._current_parent_module = inspect.getmodule(attr)
+            self._current_name = name
+            if inspect.isclass(attr):
+                self._stubs.append(self._generate_class_stub(name, attr))
+            elif inspect.isfunction(attr):
+                # Special handling of the `step` function where we want to add an
+                # overload. This is just a single case so we don't make it general.
+                # Unfortunately, when iterating, it doesn't see the @overload
+                if (
+                    name == "step"
+                    and self._current_module_name == self._root_module[:-1]
+                ):
+                    self._stubs.append(
+                        self._generate_function_stub(
+                            name,
+                            func=attr,
+                            sign=[
+                                inspect.Signature(
+                                    parameters=[
+                                        inspect.Parameter(
+                                            name="f",
+                                            kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                            annotation=Callable[
+                                                [FlowSpecDerived], None
+                                            ],
+                                        )
+                                    ],
+                                    return_annotation=Callable[
+                                        [FlowSpecDerived, StepFlag], None
+                                    ],
+                                ),
+                                inspect.Signature(
+                                    parameters=[
+                                        inspect.Parameter(
+                                            name="f",
+                                            kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
+                                            annotation=Callable[
+                                                [FlowSpecDerived, Any], None
+                                            ],
+                                        )
+                                    ],
+                                    return_annotation=Callable[
+                                        [FlowSpecDerived, Any, StepFlag], None
+                                    ],
+                                ),
+                                inspect.signature(attr),
+                            ],
+                        )
+                    )
+                else:
+                    self._stubs.append(self._generate_function_stub(name, attr))
+            elif isinstance(attr, functools.partial):
+                if issubclass(attr.args[0], Decorator):
+                    # Special case where we are going to extract the parameters from
+                    # the docstring to make the decorator look nicer
+                    res = self._extract_signature_from_decorator(
+                        name,
+                        attr.args[0].__doc__,
+                        is_flow_decorator=issubclass(attr.args[0], FlowDecorator),
+                    )
+                    if res:
+                        self._stubs.append(
+                            self._generate_function_stub(
+                                name,
+                                func=attr.func,
+                                sign=[r[0] for r in res],
+                                doc=res[-1][1],
+                            )
+                        )
+                    else:
+                        # print(
+                        #    "WARNING: Could not extract decorator signature for %s"
+                        #    % name
+                        # )
+                        pass
+                else:
+                    self._stubs.append(
+                        self._generate_function_stub(
+                            name, attr.func, doc=attr.args[0].__doc__
+                        )
+                    )
+            elif not inspect.ismodule(attr):
+                self._stubs.append(self._generate_generic_stub(name, attr))
+
+    def _write_header(self, f, width):
+        title_line = "Auto-generated Metaflow stub file"
+        title_white_space = (width - len(title_line)) / 2
+        title_line = "#%s%s%s#\n" % (
+            " " * math.floor(title_white_space),
+            title_line,
+            " " * math.ceil(title_white_space),
+        )
+        f.write(
+            "#" * (width + 2)
+            + "\n"
+            + title_line
+            + "# MF version: %s%s#\n"
+            % (self._mf_version, " " * (width - 13 - len(self._mf_version)))
+            + "# Generated on %s%s#\n"
+            % (
+                datetime.fromtimestamp(time.time()).isoformat(),
+                " " * (width - 14 - 26),
+            )
+            + "#" * (width + 2)
+            + "\n\n"
+        )
+
+    def write_out(self):
+        out_dir = self._output_dir
+        os.makedirs(out_dir, exist_ok=True)
+        # Write out py.typed (pylance seems to require it even though it is not
+        # required in PEP 561) as well as a file we will use to check the "version"
+        # of the stubs -- this helps to inform the user if the stubs were generated
+        # for another version of Metaflow.
+        pathlib.Path(os.path.join(out_dir, "py.typed")).touch()
+        if self._write_generated_for:
+            pathlib.Path(os.path.join(out_dir, "generated_for.txt")).write_text(
+                "%s %s"
+                % (self._mf_version, datetime.fromtimestamp(time.time()).isoformat())
+            )
+        post_process_modules = []
+        is_post_processing = False
+        while len(self._pending_modules) != 0 or len(post_process_modules) != 0:
+            if is_post_processing or len(self._pending_modules) == 0:
+                is_post_processing = True
+                module_alias, module_name = post_process_modules.pop(0)
+            else:
+                module_alias, module_name = self._pending_modules.pop(0)
+            # Skip vendored stuff
+            if module_alias.startswith("metaflow._vendor") or module_name.startswith(
+                "metaflow._vendor"
+            ):
+                continue
+            # We delay current module and deployer module to the end since they
+            # depend on info we gather elsewhere
+            if (
+                module_alias
+                in (
+                    METAFLOW_CURRENT_MODULE_NAME,
+                    METAFLOW_DEPLOYER_MODULE_NAME,
+                )
+                and len(self._pending_modules) != 0
+            ):
+                post_process_modules.append((module_alias, module_name))
+                continue
+            if module_alias in self._done_modules:
+                continue
+            self._done_modules.add(module_alias)
+            # If not, we process the module
+            self._reset()
+            self._get_module(module_alias, module_name)
+            if module_name == "metaflow" and not is_post_processing:
+                # We will want to regenerate this at the end to take into account
+                # any changes to the Deployer
+                post_process_modules.append((module_name, module_name))
+                self._done_modules.remove(module_name)
+                continue
+            self._generate_stubs()
+
+            if hasattr(self._current_module, "__path__"):
+                # This is a package (so a directory) and we are dealing with
+                # a __init__.pyi type of case
+                dir_path = os.path.join(self._output_dir, *module_alias.split(".")[1:])
+            else:
+                # This is NOT a package so the original source file is not a __init__.py
+                dir_path = os.path.join(
+                    self._output_dir, *module_alias.split(".")[1:-1]
+                )
+            out_file = os.path.join(
+                dir_path, os.path.basename(self._current_module.__file__) + "i"
+            )
+
+            width = 100
+
+            os.makedirs(os.path.dirname(out_file), exist_ok=True)
+            # We want to make sure we always have a __init__.pyi in the directories
+            # we are creating
+            parts = dir_path.split(os.sep)[len(self._output_dir.split(os.sep)) :]
+            for i in range(1, len(parts) + 1):
+                init_file_path = os.path.join(
+                    self._output_dir, *parts[:i], "__init__.pyi"
+                )
+                if not os.path.exists(init_file_path):
+                    with open(init_file_path, mode="w", encoding="utf-8") as f:
+                        self._write_header(f, width)
+
+            with open(out_file, mode="w", encoding="utf-8") as f:
+                self._write_header(f, width)
+
+                f.write("from __future__ import annotations\n\n")
+                imported_typing = False
+                for module in self._imports:
+                    f.write("import " + module + "\n")
+                    if module == "typing":
+                        imported_typing = True
+                for module, sub_module in self._sub_module_imports:
+                    f.write(f"from {module} import {sub_module}\n")
+                if self._typing_imports:
+                    if not imported_typing:
+                        f.write("import typing\n")
+                        imported_typing = True
+                    f.write("if typing.TYPE_CHECKING:\n")
+                    for module in self._typing_imports:
+                        f.write(TAB + "import " + module + "\n")
+                if self._typevars:
+                    if not imported_typing:
+                        f.write("import typing\n")
+                        imported_typing = True
+                    for type_name, type_var in self._typevars.items():
+                        if isinstance(type_var, TypeVar):
+                            f.write(
+                                "%s = %s\n" % (type_name, type_var_to_str(type_var))
+                            )
+                        else:
+                            f.write(
+                                "%s = %s\n" % (type_name, new_type_to_str(type_var))
+                            )
+                f.write("\n")
+                for import_line in self._current_references:
+                    f.write(import_line + "\n")
+                f.write("\n")
+                for stub in self._stubs:
+                    f.write(stub + "\n")
+            if is_post_processing:
+                # Don't consider any pending modules if we are post processing
+                self._pending_modules.clear()
+
+
+if __name__ == "__main__":
+    gen = StubGenerator("./stubs")
+    gen.write_out()
diff --git a/metaflow/cmd/develop/stubs.py b/metaflow/cmd/develop/stubs.py
new file mode 100644
index 00000000000..dcabae27f27
--- /dev/null
+++ b/metaflow/cmd/develop/stubs.py
@@ -0,0 +1,343 @@
+import importlib
+import os
+import subprocess
+import sys
+import tempfile
+
+from typing import Any, List, Optional, Tuple
+
+from metaflow._vendor import click
+
+from . import develop
+from .stub_generator import StubGenerator
+
+_py_ver = sys.version_info[:2]
+
+if _py_ver >= (3, 8):
+    from importlib import metadata
+elif _py_ver >= (3, 7):
+    from metaflow._vendor.v3_7 import importlib_metadata as metadata
+else:
+    from metaflow._vendor.v3_6 import importlib_metadata as metadata
+
+
+@develop.group(short_help="Stubs management")
+@click.pass_context
+def stubs(ctx: Any):
+    """
+    Stubs provide type hints and documentation hints to IDEs and are typically provided
+    inline with the code where a static analyzer can pick them up. In Metaflow's case,
+    however, proper stubs rely on dynamic behavior (ie: the decorators are
+    generated at runtime). This makes it necessary to have separate stub files.
+
+    This CLI provides utilities to check and generate stubs for your current Metaflow
+    installation.
+    """
+
+
+@stubs.command(short_help="Check validity of stubs")
+@click.pass_context
+def check(ctx: Any):
+    """
+    Checks the currently installed stubs (if they exist) and validates that they
+    match the currently installed version of Metaflow.
+    """
+
+    dist_packages, paths = get_packages_for_stubs()
+
+    if len(dist_packages) + len(paths) == 0:
+        return print_status(ctx, "no package provides `metaflow-stubs`", False)
+    if len(dist_packages) + len(paths) == 1:
+        if dist_packages:
+            return print_status(
+                ctx, *internal_check(dist_packages[0][1], dist_packages[0][0])
+            )
+        return print_status(ctx, *internal_check(paths[0]))
+
+    pkg_names = None
+    pkg_paths = None
+    if dist_packages:
+        pkg_names = " packages " + ", ".join([p[0] for p in dist_packages])
+    if paths:
+        pkg_paths = "directories at " + ", ".join(paths)
+    return print_status(
+        ctx,
+        "metaflow-stubs is provided multiple times by%s %s%s"
+        % (
+            pkg_names if pkg_names else "",
+            "and " if pkg_names and pkg_paths else "",
+            pkg_paths if pkg_paths else "",
+        ),
+        False,
+    )
+
+
+@stubs.command(short_help="Remove all packages providing metaflow stubs")
+@click.pass_context
+def remove(ctx: Any):
+    """
+    Removes all packages that provide metaflow-stubs from the current Python environment.
+    """
+    dist_packages, paths = get_packages_for_stubs()
+    if len(dist_packages) + len(paths) == 0:
+        if ctx.obj.quiet:
+            ctx.obj.echo_always("not_installed")
+        else:
+            ctx.obj.echo("No packages provide `metaflow-stubs")
+
+    if paths:
+        raise RuntimeError(
+            "Cannot remove stubs when metaflow-stubs is already provided by a directory. "
+            "Please remove the following and try again: %s" % ", ".join(paths)
+        )
+
+    pkgs_to_remove = [p[0] for p in dist_packages]
+    ctx.obj.echo(
+        "Uninstalling existing packages providing metaflow-stubs: %s"
+        % ", ".join(pkgs_to_remove)
+    )
+
+    subprocess.check_call(
+        [
+            sys.executable,
+            "-m",
+            "pip",
+            "uninstall",
+            "-y",
+            *pkgs_to_remove,
+        ],
+        stderr=subprocess.DEVNULL if ctx.obj.quiet else None,
+        stdout=subprocess.DEVNULL if ctx.obj.quiet else None,
+    )
+    if ctx.obj.quiet:
+        ctx.obj.echo_always("ok")
+    else:
+        ctx.obj.echo("All packages providing metaflow-stubs have been removed.")
+
+
+@stubs.command(short_help="Generate Python stubs")
+@click.pass_context
+@click.option(
+    "--force/--no-force",
+    default=False,
+    show_default=True,
+    help="Force installation of stubs even if they exist and are valid",
+)
+def install(ctx: Any, force: bool):
+    """
+    Generates the Python stubs for Metaflow considering the installed version of
+    Metaflow. The stubs will be generated if they do not exist or do not match the
+    current version of Metaflow and installed in the Python environment.
+    """
+    try:
+        import build
+    except ImportError:
+        raise RuntimeError(
+            "Installing stubs requires 'build' -- please install it and try again"
+        )
+
+    dist_packages, paths = get_packages_for_stubs()
+    if paths:
+        raise RuntimeError(
+            "Cannot install stubs when metaflow-stubs is already provided by a directory. "
+            "Please remove the following and try again: %s" % ", ".join(paths)
+        )
+
+    if len(dist_packages) == 1:
+        if internal_check(dist_packages[0][1])[1] == True and not force:
+            if ctx.obj.quiet:
+                ctx.obj.echo_always("already_installed")
+            else:
+                ctx.obj.echo(
+                    "Metaflow stubs are already installed and valid -- use --force to reinstall"
+                )
+            return
+    mf_version, _ = get_mf_version(True)
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        with open(os.path.join(tmp_dir, "setup.py"), "w") as f:
+            f.write(
+                f"""
+from setuptools import setup, find_namespace_packages
+setup(
+    include_package_data=True,
+    name="metaflow-stubs",
+    version="{mf_version}",
+    description="Metaflow: More Data Science, Less Engineering",
+    author="Metaflow Developers",
+    author_email="help@metaflow.org",
+    license="Apache Software License",
+    packages=find_namespace_packages(),
+    package_data={{"metaflow-stubs": ["generated_for.txt", "py.typed", "**/*.pyi"]}},
+    install_requires=["metaflow=={mf_version}"],
+    python_requires=">=3.6.1",
+)
+                """
+            )
+        with open(os.path.join(tmp_dir, "MANIFEST.in"), "w") as f:
+            f.write(
+                """
+include metaflow-stubs/generated_for.txt
+include metaflow-stubs/py.typed
+global-include *.pyi
+                """
+            )
+
+        StubGenerator(os.path.join(tmp_dir, "metaflow-stubs")).write_out()
+
+        subprocess.check_call(
+            [sys.executable, "-m", "build", "--wheel"],
+            cwd=tmp_dir,
+            stderr=subprocess.DEVNULL if ctx.obj.quiet else None,
+            stdout=subprocess.DEVNULL if ctx.obj.quiet else None,
+        )
+
+        if dist_packages:
+            # We need to uninstall all the other packages first
+            pkgs_to_remove = [p[0] for p in dist_packages]
+            ctx.obj.echo(
+                "Uninstalling existing packages providing metaflow-stubs: %s"
+                % ", ".join(pkgs_to_remove)
+            )
+
+            subprocess.check_call(
+                [
+                    sys.executable,
+                    "-m",
+                    "pip",
+                    "uninstall",
+                    "-y",
+                    *pkgs_to_remove,
+                ],
+                cwd=tmp_dir,
+                stderr=subprocess.DEVNULL if ctx.obj.quiet else None,
+                stdout=subprocess.DEVNULL if ctx.obj.quiet else None,
+            )
+
+        subprocess.check_call(
+            [
+                sys.executable,
+                "-m",
+                "pip",
+                "install",
+                "--force-reinstall",
+                "--no-deps",
+                "--no-index",
+                "--find-links",
+                os.path.join(tmp_dir, "dist"),
+                "metaflow-stubs",
+            ],
+            cwd=tmp_dir,
+            stderr=subprocess.DEVNULL if ctx.obj.quiet else None,
+            stdout=subprocess.DEVNULL if ctx.obj.quiet else None,
+        )
+    if ctx.obj.quiet:
+        ctx.obj.echo_always("installed")
+    else:
+        ctx.obj.echo("Metaflow stubs successfully installed")
+
+
+def split_version(vers: str) -> Tuple[str, Optional[str]]:
+    vers_split = vers.split("+", 1)
+    if len(vers_split) == 1:
+        return vers_split[0], None
+    return vers_split[0], vers_split[1]
+
+
+def get_mf_version(public: bool = False) -> Tuple[str, Optional[str]]:
+    from metaflow.metaflow_version import get_version
+
+    return split_version(get_version(public))
+
+
+def get_stubs_version(stubs_root_path: Optional[str]) -> Tuple[str, Optional[str]]:
+    if stubs_root_path is None:
+        # The stubs are NOT an integrated part of metaflow
+        return None, None
+    if not os.path.isfile(os.path.join(stubs_root_path, "generated_for.txt")):
+        return None, None
+
+    with open(
+        os.path.join(stubs_root_path, "generated_for.txt"), "r", encoding="utf-8"
+    ) as f:
+        return split_version(f.read().strip().split(" ", 1)[0])
+
+
+def internal_check(stubs_path: str, pkg_name: Optional[str] = None) -> Tuple[str, bool]:
+    mf_version = get_mf_version()
+    stub_version = get_stubs_version(stubs_path)
+
+    if stub_version == (None, None):
+        return "the installed stubs package does not seem valid", False
+    elif stub_version != mf_version:
+        return (
+            "the stubs package was generated for Metaflow version %s%s "
+            "but you have Metaflow version %s%s installed."
+            % (
+                stub_version[0],
+                " and extensions %s" % stub_version[1] if stub_version[1] else "",
+                mf_version[0],
+                " and extensions %s" % mf_version[1] if mf_version[1] else "",
+            ),
+            False,
+        )
+    return (
+        "the stubs package %s matches your current Metaflow version"
+        % (pkg_name if pkg_name else "installed at '%s'" % stubs_path),
+        True,
+    )
+
+
+def get_packages_for_stubs() -> Tuple[List[Tuple[str, str]], List[str]]:
+    """
+    Gets the packages that provide metaflow-stubs.
+
+    This returns two lists:
+      - the first list contains tuples of package names and root path for the package
+      - the second list contains all non package names (ie: things in path for example)
+
+    Returns
+    -------
+    Tuple[List[Tuple[str, str]], Optional[List[Tuple[str, str]]]]
+        Packages or paths providing metaflow-stubs
+    """
+    try:
+        m = importlib.import_module("metaflow-stubs")
+        all_paths = set(m.__path__)
+    except:
+        return [], []
+
+    dist_list = []
+
+    # We check the type because if the user has multiple importlib metadata, for
+    # some reason it shows up multiple times.
+    interesting_dists = [
+        d
+        for d in metadata.distributions()
+        if any(
+            [
+                p == "metaflow-stubs"
+                for p in (d.read_text("top_level.txt") or "").split()
+            ]
+        )
+        and isinstance(d, metadata.PathDistribution)
+    ]
+
+    for dist in interesting_dists:
+        # This is a package we care about
+        root_path = dist.locate_file("metaflow-stubs").as_posix()
+        dist_list.append((dist.metadata["Name"], root_path))
+        all_paths.discard(root_path)
+    return dist_list, list(all_paths)
+
+
+def print_status(ctx: click.Context, msg: str, valid: bool):
+    if ctx.obj.quiet:
+        ctx.obj.echo_always("valid" if valid else "invalid")
+    else:
+        ctx.obj.echo("Metaflow stubs are ", nl=False)
+        if valid:
+            ctx.obj.echo("valid", fg="green", nl=False)
+        else:
+            ctx.obj.echo("invalid", fg="red", nl=False)
+        ctx.obj.echo(": " + msg)
+    return
diff --git a/metaflow/cmd/main_cli.py b/metaflow/cmd/main_cli.py
index 0ba635086f0..c552b32a24b 100644
--- a/metaflow/cmd/main_cli.py
+++ b/metaflow/cmd/main_cli.py
@@ -8,9 +8,11 @@
 from metaflow.metaflow_version import get_version
 
 from .util import echo_always
+import metaflow.tracing as tracing
 
 
 @click.group()
+@tracing.cli("cli/main")
 def main():
     pass
 
@@ -61,7 +63,12 @@ def status():
         echo("* %s" % flow, fg="cyan")
 
 
-CMDS_DESC = [("configure", ".configure_cmd.cli"), ("tutorials", ".tutorials_cmd.cli")]
+CMDS_DESC = [
+    ("configure", ".configure_cmd.cli"),
+    ("tutorials", ".tutorials_cmd.cli"),
+    ("develop", ".develop.cli"),
+    ("code", ".code.cli"),
+]
 
 process_cmds(globals())
 
@@ -78,15 +85,16 @@ def start(ctx):
 
     import metaflow
 
+    version = get_version()
     echo("Metaflow ", fg="magenta", bold=True, nl=False)
 
     if ctx.invoked_subcommand is None:
-        echo("(%s): " % get_version(), fg="magenta", bold=False, nl=False)
+        echo("(%s): " % version, fg="magenta", bold=False, nl=False)
     else:
-        echo("(%s)\n" % get_version(), fg="magenta", bold=False)
+        echo("(%s)\n" % version, fg="magenta", bold=False)
 
     if ctx.invoked_subcommand is None:
-        echo("More data science, less engineering\n", fg="magenta")
+        echo("More AI, less engineering\n", fg="magenta")
 
         lnk_sz = max(len(lnk) for lnk in CONTACT_INFO.values()) + 1
         for what, lnk in CONTACT_INFO.items():
diff --git a/metaflow/cmd/make_wrapper.py b/metaflow/cmd/make_wrapper.py
new file mode 100644
index 00000000000..7bded1a2161
--- /dev/null
+++ b/metaflow/cmd/make_wrapper.py
@@ -0,0 +1,48 @@
+import sys
+import subprocess
+from pathlib import Path
+import sysconfig
+import site
+
+
+def find_makefile():
+    possible_dirs = []
+
+    # 1) The standard sysconfig-based location
+    data_dir = sysconfig.get_paths()["data"]
+    possible_dirs.append(Path(data_dir) / "share" / "metaflow" / "devtools")
+
+    # 2) The user base (e.g. ~/.local on many systems)
+    user_base = site.getuserbase()  # e.g. /home/runner/.local
+    possible_dirs.append(Path(user_base) / "share" / "metaflow" / "devtools")
+
+    # 3) site-packages can vary, we can guess share/.. near each site-packages
+    # (Works if pip actually placed devtools near site-packages.)
+    for p in site.getsitepackages():
+        possible_dirs.append(Path(p).parent / "share" / "metaflow" / "devtools")
+    user_site = site.getusersitepackages()
+    possible_dirs.append(Path(user_site).parent / "share" / "metaflow" / "devtools")
+
+    for candidate_dir in possible_dirs:
+        makefile_candidate = candidate_dir / "Makefile"
+        if makefile_candidate.is_file():
+            return makefile_candidate
+
+    return None
+
+
+def main():
+    makefile_path = find_makefile()
+    if not makefile_path:
+        print("ERROR: Could not find executable in any known location.")
+        sys.exit(1)
+    cmd = ["make", "-f", str(makefile_path)] + sys.argv[1:]
+
+    try:
+        completed = subprocess.run(cmd, check=True)
+        sys.exit(completed.returncode)
+    except subprocess.CalledProcessError as ex:
+        sys.exit(ex.returncode)
+    except KeyboardInterrupt:
+        print("Process interrupted by user. Exiting cleanly.")
+        sys.exit(1)
diff --git a/metaflow/datastore/content_addressed_store.py b/metaflow/datastore/content_addressed_store.py
index e88ca1275de..e0533565ffa 100644
--- a/metaflow/datastore/content_addressed_store.py
+++ b/metaflow/datastore/content_addressed_store.py
@@ -133,7 +133,7 @@ def load_blobs(self, keys, force_raw=False):
                 load_paths.append((key, path))
 
         with self._storage_impl.load_bytes([p for _, p in load_paths]) as loaded:
-            for (path_key, file_path, meta) in loaded:
+            for path_key, file_path, meta in loaded:
                 key = self._storage_impl.path_split(path_key)[-1]
                 # At this point, we either return the object as is (if raw) or
                 # decode it according to the encoding version
diff --git a/metaflow/datastore/datastore_set.py b/metaflow/datastore/datastore_set.py
index e8561f8d134..f60642de73f 100644
--- a/metaflow/datastore/datastore_set.py
+++ b/metaflow/datastore/datastore_set.py
@@ -22,7 +22,7 @@ def __init__(
         prefetch_data_artifacts=None,
         allow_not_done=False,
     ):
-        self.task_datastores = flow_datastore.get_latest_task_datastores(
+        self.task_datastores = flow_datastore.get_task_datastores(
             run_id, steps=steps, pathspecs=pathspecs, allow_not_done=allow_not_done
         )
 
diff --git a/metaflow/datastore/flow_datastore.py b/metaflow/datastore/flow_datastore.py
index 6bddfce9e86..16318ed7693 100644
--- a/metaflow/datastore/flow_datastore.py
+++ b/metaflow/datastore/flow_datastore.py
@@ -13,7 +13,7 @@ class FlowDataStore(object):
     def __init__(
         self,
         flow_name,
-        environment,
+        environment=None,
         metadata=None,
         event_logger=None,
         monitor=None,
@@ -31,7 +31,7 @@ def __init__(
         ----------
         flow_name : str
             The name of the flow
-        environment : MetaflowEnvironment
+        environment : MetaflowEnvironment, optional
             Environment this datastore is operating in
         metadata : MetadataProvider, optional
             The metadata provider to use and update if needed, by default None
@@ -67,8 +67,15 @@ def __init__(
     def datastore_root(self):
         return self._storage_impl.datastore_root
 
-    def get_latest_task_datastores(
-        self, run_id=None, steps=None, pathspecs=None, allow_not_done=False
+    def get_task_datastores(
+        self,
+        run_id=None,
+        steps=None,
+        pathspecs=None,
+        allow_not_done=False,
+        attempt=None,
+        include_prior=False,
+        mode="r",
     ):
         """
         Return a list of TaskDataStore for a subset of the tasks.
@@ -93,6 +100,12 @@ def get_latest_task_datastores(
         allow_not_done : bool, optional
             If True, returns the latest attempt of a task even if that attempt
             wasn't marked as done, by default False
+        attempt : int, optional
+            Attempt number of the tasks to return.  If not provided, returns latest attempt.
+        include_prior : boolean, default False
+            If True, returns all attempts up to and including attempt.
+        mode : str, default "r"
+            Mode to initialize the returned TaskDataStores in.
 
         Returns
         -------
@@ -126,8 +139,13 @@ def get_latest_task_datastores(
                 if task.is_file is False
             ]
         urls = []
+        # parse content urls for specific attempt only, or for all attempts in max range
+        attempt_range = range(metaflow_config.MAX_ATTEMPTS)
+        # we have no reason to check for attempts greater than MAX_ATTEMPTS, as they do not exist.
+        if attempt is not None and attempt <= metaflow_config.MAX_ATTEMPTS - 1:
+            attempt_range = range(attempt + 1) if include_prior else [attempt]
         for task_url in task_urls:
-            for attempt in range(metaflow_config.MAX_ATTEMPTS):
+            for attempt in attempt_range:
                 for suffix in [
                     TaskDataStore.METADATA_DATA_SUFFIX,
                     TaskDataStore.METADATA_ATTEMPT_SUFFIX,
@@ -168,11 +186,19 @@ def get_latest_task_datastores(
             for (run, step, task), attempt in latest_started_attempts.items()
         )
         if allow_not_done:
-            latest_to_fetch = latest_started_attempts
+            latest_to_fetch = (
+                done_attempts.union(latest_started_attempts)
+                if include_prior
+                else latest_started_attempts
+            )
         else:
-            latest_to_fetch = latest_started_attempts & done_attempts
+            latest_to_fetch = (
+                done_attempts
+                if include_prior
+                else (latest_started_attempts & done_attempts)
+            )
         latest_to_fetch = [
-            (v[0], v[1], v[2], v[3], data_objs.get(v), "r", allow_not_done)
+            (v[0], v[1], v[2], v[3], data_objs.get(v), mode, allow_not_done)
             for v in latest_to_fetch
         ]
         return list(itertools.starmap(self.get_task_datastore, latest_to_fetch))
diff --git a/metaflow/datastore/task_datastore.py b/metaflow/datastore/task_datastore.py
index 3f003173a0f..8d5c39c0dde 100644
--- a/metaflow/datastore/task_datastore.py
+++ b/metaflow/datastore/task_datastore.py
@@ -10,7 +10,7 @@
 
 from .. import metaflow_config
 from ..exception import MetaflowInternalError
-from ..metadata import DataArtifact, MetaDatum
+from ..metadata_provider import DataArtifact, MetaDatum
 from ..parameters import Parameter
 from ..util import Path, is_stringish, to_fileobj
 
@@ -99,7 +99,6 @@ def __init__(
         mode="r",
         allow_not_done=False,
     ):
-
         self._storage_impl = flow_datastore._storage_impl
         self.TYPE = self._storage_impl.TYPE
         self._ca_store = flow_datastore.ca_store
@@ -118,7 +117,7 @@ def __init__(
         # The GZIP encodings are for backward compatibility
         self._encodings = {"pickle-v2", "gzip+pickle-v2"}
         ver = sys.version_info[0] * 10 + sys.version_info[1]
-        if ver >= 34:
+        if ver >= 36:
             self._encodings.add("pickle-v4")
             self._encodings.add("gzip+pickle-v4")
 
@@ -173,6 +172,26 @@ def __init__(
                 if data_obj is not None:
                     self._objects = data_obj.get("objects", {})
                     self._info = data_obj.get("info", {})
+        elif self._mode == "d":
+            self._objects = {}
+            self._info = {}
+
+            if self._attempt is None:
+                for i in range(metaflow_config.MAX_ATTEMPTS):
+                    check_meta = self._metadata_name_for_attempt(
+                        self.METADATA_ATTEMPT_SUFFIX, i
+                    )
+                    if self.has_metadata(check_meta, add_attempt=False):
+                        self._attempt = i
+
+            # Do not allow destructive operations on the datastore if attempt is still in flight
+            # and we explicitly did not allow operating on running tasks.
+            if not allow_not_done and not self.has_metadata(self.METADATA_DONE_SUFFIX):
+                raise DataException(
+                    "No completed attempts of the task was found for task '%s'"
+                    % self._path
+                )
+
         else:
             raise DataException("Unknown datastore mode: '%s'" % self._mode)
 
@@ -233,7 +252,7 @@ def init_task(self):
 
     @only_if_not_done
     @require_mode("w")
-    def save_artifacts(self, artifacts_iter, force_v4=False, len_hint=0):
+    def save_artifacts(self, artifacts_iter, len_hint=0):
         """
         Saves Metaflow Artifacts (Python objects) to the datastore and stores
         any relevant metadata needed to retrieve them.
@@ -249,11 +268,6 @@ def save_artifacts(self, artifacts_iter, force_v4=False, len_hint=0):
         artifacts : Iterator[(string, object)]
             Iterator over the human-readable name of the object to save
             and the object itself
-        force_v4 : boolean or Dict[string -> boolean]
-            Indicates whether the artifact should be pickled using the v4
-            version of pickle. If a single boolean, applies to all artifacts.
-            If a dictionary, applies to the object named only. Defaults to False
-            if not present or not specified
         len_hint: integer
             Estimated number of items in artifacts_iter
         """
@@ -261,40 +275,24 @@ def save_artifacts(self, artifacts_iter, force_v4=False, len_hint=0):
 
         def pickle_iter():
             for name, obj in artifacts_iter:
-                do_v4 = (
-                    force_v4 and force_v4
-                    if isinstance(force_v4, bool)
-                    else force_v4.get(name, False)
-                )
-                if do_v4:
-                    encode_type = "gzip+pickle-v4"
-                    if encode_type not in self._encodings:
-                        raise DataException(
-                            "Artifact *%s* requires a serialization encoding that "
-                            "requires Python 3.4 or newer." % name
-                        )
+                encode_type = "gzip+pickle-v4"
+                if encode_type in self._encodings:
                     try:
                         blob = pickle.dumps(obj, protocol=4)
                     except TypeError as e:
-                        raise UnpicklableArtifactException(name)
+                        raise UnpicklableArtifactException(name) from e
                 else:
                     try:
                         blob = pickle.dumps(obj, protocol=2)
                         encode_type = "gzip+pickle-v2"
-                    except (SystemError, OverflowError):
-                        encode_type = "gzip+pickle-v4"
-                        if encode_type not in self._encodings:
-                            raise DataException(
-                                "Artifact *%s* is very large (over 2GB). "
-                                "You need to use Python 3.4 or newer if you want to "
-                                "serialize large objects." % name
-                            )
-                        try:
-                            blob = pickle.dumps(obj, protocol=4)
-                        except TypeError as e:
-                            raise UnpicklableArtifactException(name)
+                    except (SystemError, OverflowError) as e:
+                        raise DataException(
+                            "Artifact *%s* is very large (over 2GB). "
+                            "You need to use Python 3.6 or newer if you want to "
+                            "serialize large objects." % name
+                        ) from e
                     except TypeError as e:
-                        raise UnpicklableArtifactException(name)
+                        raise UnpicklableArtifactException(name) from e
 
                 self._info[name] = {
                     "size": len(blob),
@@ -353,7 +351,7 @@ def load_artifacts(self, names):
                 encode_type = "gzip+pickle-v2"
             if encode_type not in self._encodings:
                 raise DataException(
-                    "Python 3.4 or later is required to load artifact '%s'" % name
+                    "Python 3.6 or later is required to load artifact '%s'" % name
                 )
             else:
                 to_load[self._objects[name]].append(name)
@@ -361,7 +359,7 @@ def load_artifacts(self, names):
         # We assume that if we have one "old" style artifact, all of them are
         # like that which is an easy assumption to make since artifacts are all
         # stored by the same implementation of the datastore for a given task.
-        for (key, blob) in self._ca_store.load_blobs(to_load.keys()):
+        for key, blob in self._ca_store.load_blobs(to_load.keys()):
             names = to_load[key]
             for name in names:
                 # We unpickle everytime to have fully distinct objects (the user
@@ -750,6 +748,36 @@ def save_logs(self, logsource, stream_data):
                 to_store_dict[n] = data
         self._save_file(to_store_dict)
 
+    @require_mode("d")
+    def scrub_logs(self, logsources, stream, attempt_override=None):
+        path_logsources = {
+            self._metadata_name_for_attempt(
+                self._get_log_location(s, stream),
+                attempt_override=attempt_override,
+            ): s
+            for s in logsources
+        }
+
+        # Legacy log paths
+        legacy_log = self._metadata_name_for_attempt(
+            "%s.log" % stream, attempt_override
+        )
+        path_logsources[legacy_log] = stream
+
+        existing_paths = [
+            path
+            for path in path_logsources.keys()
+            if self.has_metadata(path, add_attempt=False)
+        ]
+
+        # Replace log contents with [REDACTED source stream]
+        to_store_dict = {
+            path: bytes("[REDACTED %s %s]" % (path_logsources[path], stream), "utf-8")
+            for path in existing_paths
+        }
+
+        self._save_file(to_store_dict, add_attempt=False, allow_overwrite=True)
+
     @require_mode("r")
     def load_log_legacy(self, stream, attempt_override=None):
         """
diff --git a/metaflow/debug.py b/metaflow/debug.py
index fbfaca95dc8..1462df2bb7a 100644
--- a/metaflow/debug.py
+++ b/metaflow/debug.py
@@ -42,6 +42,11 @@ def log(self, typ, args):
         filename = inspect.stack()[1][1]
         print("debug[%s %s:%s]: %s" % (typ, filename, lineno, s), file=sys.stderr)
 
+    def __getattr__(self, name):
+        # Small piece of code to get pyright and other linters to recognize that there
+        # are dynamic attributes.
+        return getattr(self, name)
+
     def noop(self, args):
         pass
 
diff --git a/metaflow/decorators.py b/metaflow/decorators.py
index ebdd77ebd7e..583f8a4515e 100644
--- a/metaflow/decorators.py
+++ b/metaflow/decorators.py
@@ -1,24 +1,34 @@
-from functools import partial
+import importlib
 import json
 import re
-import os
-import sys
 
-from .flowspec import FlowSpec
+from functools import partial
+from typing import Any, Callable, Dict, List, NewType, Tuple, TypeVar, Union, overload
+
+from .flowspec import FlowSpec, _FlowState
 from .exception import (
     MetaflowInternalError,
     MetaflowException,
     InvalidDecoratorAttribute,
 )
 
-from metaflow._vendor import click
-
+from .debug import debug
+from .parameters import current_flow
+from .user_configs.config_parameters import (
+    UNPACK_KEY,
+    resolve_delayed_evaluator,
+    unpack_delayed_evaluator,
+)
+from .user_decorators.mutable_flow import MutableFlow
+from .user_decorators.mutable_step import MutableStep
+from .user_decorators.user_flow_decorator import FlowMutator, FlowMutatorMeta
+from .user_decorators.user_step_decorator import (
+    StepMutator,
+    UserStepDecoratorBase,
+    UserStepDecoratorMeta,
+)
 
-try:
-    unicode
-except NameError:
-    unicode = str
-    basestring = str
+from metaflow._vendor import click
 
 
 class BadStepDecoratorException(MetaflowException):
@@ -51,11 +61,14 @@ class UnknownStepDecoratorException(MetaflowException):
     headline = "Unknown step decorator"
 
     def __init__(self, deconame):
-        from .plugins import STEP_DECORATORS
-
         decos = ", ".join(
-            t.name for t in STEP_DECORATORS if not t.name.endswith("_internal")
+            [
+                x
+                for x in UserStepDecoratorMeta.all_decorators().keys()
+                if not x.endswith("_internal")
+            ]
         )
+
         msg = (
             "Unknown step decorator *{deconame}*. The following decorators are "
             "supported: *{decos}*".format(deconame=deconame, decos=decos)
@@ -80,9 +93,7 @@ class UnknownFlowDecoratorException(MetaflowException):
     headline = "Unknown flow decorator"
 
     def __init__(self, deconame):
-        from .plugins import FLOW_DECORATORS
-
-        decos = ", ".join(t.name for t in FLOW_DECORATORS)
+        decos = ", ".join(FlowMutatorMeta.all_decorators().keys())
         msg = (
             "Unknown flow decorator *{deconame}*. The following decorators are "
             "supported: *{decos}*".format(deconame=deconame, decos=decos)
@@ -111,25 +122,52 @@ class Decorator(object):
     # `allow_multiple` allows setting many decorators of the same type to a step/flow.
     allow_multiple = False
 
-    def __init__(self, attributes=None, statically_defined=False):
+    def __init__(self, attributes=None, statically_defined=False, inserted_by=None):
         self.attributes = self.defaults.copy()
         self.statically_defined = statically_defined
+        self.inserted_by = inserted_by
+        self._user_defined_attributes = set()
+        self._ran_init = False
 
         if attributes:
             for k, v in attributes.items():
-                if k in self.defaults:
+                if k in self.defaults or k.startswith(UNPACK_KEY):
                     self.attributes[k] = v
+                    if not k.startswith(UNPACK_KEY):
+                        self._user_defined_attributes.add(k)
                 else:
                     raise InvalidDecoratorAttribute(self.name, k, self.defaults)
 
+    def init(self):
+        """
+        Initializes the decorator. In general, any operation you would do in __init__
+        should be done here.
+        """
+        pass
+
+    def external_init(self):
+        # In some cases (specifically when using remove_decorator), we may need to call
+        # init multiple times. Short-circuit re-evaluating.
+        if self._ran_init:
+            return
+
+        # Note that by design, later values override previous ones.
+        self.attributes, new_user_attributes = unpack_delayed_evaluator(self.attributes)
+        self._user_defined_attributes.update(new_user_attributes)
+        self.attributes = resolve_delayed_evaluator(self.attributes, to_dict=True)
+
+        if "init" in self.__class__.__dict__:
+            self.init()
+        self._ran_init = True
+
     @classmethod
-    def _parse_decorator_spec(cls, deco_spec):
+    def extract_args_kwargs_from_decorator_spec(cls, deco_spec):
         if len(deco_spec) == 0:
-            return cls()
+            return [], {}
 
         attrs = {}
         # TODO: Do we really want to allow spaces in the names of attributes?!?
-        for a in re.split(""",(?=[\s\w]+=)""", deco_spec):
+        for a in re.split(r""",(?=[\s\w]+=)""", deco_spec):
             name, val = a.split("=", 1)
             try:
                 val_parsed = json.loads(val.strip().replace('\\"', '"'))
@@ -145,9 +183,20 @@ def _parse_decorator_spec(cls, deco_spec):
                         val_parsed = val.strip()
 
             attrs[name.strip()] = val_parsed
-        return cls(attributes=attrs)
+
+        return [], attrs
+
+    @classmethod
+    def parse_decorator_spec(cls, deco_spec):
+        if len(deco_spec) == 0:
+            return cls()
+
+        _, kwargs = cls.extract_args_kwargs_from_decorator_spec(deco_spec)
+        return cls(attributes=kwargs)
 
     def make_decorator_spec(self):
+        # Make sure all attributes are evaluated
+        self.external_init()
         attrs = {k: v for k, v in self.attributes.items() if v is not None}
         if attrs:
             attr_list = []
@@ -155,17 +204,31 @@ def make_decorator_spec(self):
             # escaping but for more complex types (typically dictionaries or lists),
             # we dump using JSON.
             for k, v in attrs.items():
-                if isinstance(v, (int, float, unicode, basestring)):
+                if isinstance(v, (int, float, str)):
                     attr_list.append("%s=%s" % (k, str(v)))
                 else:
                     attr_list.append("%s=%s" % (k, json.dumps(v).replace('"', '\\"')))
+
             attrstr = ",".join(attr_list)
             return "%s:%s" % (self.name, attrstr)
         else:
             return self.name
 
+    def get_args_kwargs(self) -> Tuple[List[Any], Dict[str, Any]]:
+        """
+        Get the arguments and keyword arguments of the decorator.
+
+        Returns
+        -------
+        Tuple[List[Any], Dict[str, Any]]
+            A tuple containing a list of arguments and a dictionary of keyword arguments.
+        """
+        return [], dict(self.attributes)
+
     def __str__(self):
-        mode = "decorated" if self.statically_defined else "cli"
+        mode = "static" if self.statically_defined else "dynamic"
+        if self.inserted_by:
+            mode += " (inserted by %s)" % " from ".join(self.inserted_by)
         attrs = " ".join("%s=%s" % x for x in self.attributes.items())
         if attrs:
             attrs = " " + attrs
@@ -174,14 +237,9 @@ def __str__(self):
 
 
 class FlowDecorator(Decorator):
-
-    _flow_decorators = []
     options = {}
 
     def __init__(self, *args, **kwargs):
-        # Note that this assumes we are executing one flow per process, so we have a global list of
-        # _flow_decorators. A similar setup is used in parameters.
-        self._flow_decorators.append(self)
         super(FlowDecorator, self).__init__(*args, **kwargs)
 
     def flow_init(
@@ -206,8 +264,14 @@ def get_top_level_options(self):
 
 # compare this to parameters.add_custom_parameters
 def add_decorator_options(cmd):
+    flow_cls = getattr(current_flow, "flow_cls", None)
+    if flow_cls is None:
+        return cmd
+
     seen = {}
-    for deco in flow_decorators():
+    existing_params = set(p.name.lower() for p in cmd.params)
+    # Add decorator options
+    for deco in flow_decorators(flow_cls):
         for option, kwargs in deco.options.items():
             if option in seen:
                 msg = (
@@ -217,14 +281,20 @@ def add_decorator_options(cmd):
                     % (deco.name, option, seen[option])
                 )
                 raise MetaflowInternalError(msg)
+            elif deco.name.lower() in existing_params:
+                raise MetaflowInternalError(
+                    "Flow decorator '%s' uses an option '%s' which is a reserved "
+                    "keyword. Please use a different option name." % (deco.name, option)
+                )
             else:
+                kwargs["envvar"] = "METAFLOW_FLOW_%s" % option.upper()
                 seen[option] = deco.name
                 cmd.params.insert(0, click.Option(("--" + option,), **kwargs))
     return cmd
 
 
-def flow_decorators():
-    return FlowDecorator._flow_decorators
+def flow_decorators(flow_cls):
+    return [d for deco_list in flow_cls._flow_decorators.values() for d in deco_list]
 
 
 class StepDecorator(Decorator):
@@ -273,15 +343,36 @@ def package_init(self, flow, step_name, environment):
 
     def add_to_package(self):
         """
-        Called to add custom packages needed for a decorator. This hook will be
+        Called to add custom files needed for this environment. This hook will be
         called in the `MetaflowPackage` class where metaflow compiles the code package
-        tarball. This hook is invoked in the `MetaflowPackage`'s `path_tuples`
-        function. The `path_tuples` function is a generator that yields a tuple of
-        `(file_path, arcname)`.`file_path` is the path of the file in the local file system;
-        the `arcname` is the path of the file in the constructed tarball or the path of the file
-        after decompressing the tarball.
-
-        Returns a list of tuples where each tuple represents (file_path, arcname)
+        tarball. This hook can return one of two things (the first is for backwards
+        compatibility -- move to the second):
+          - a generator yielding a tuple of `(file_path, arcname)` to add files to
+            the code package. `file_path` is the path to the file on the local filesystem
+            and `arcname` is the path relative to the packaged code.
+          - a generator yielding a tuple of `(content, arcname, type)` where:
+            - type is one of
+            ContentType.{USER_CONTENT, CODE_CONTENT, MODULE_CONTENT, OTHER_CONTENT}
+            - for USER_CONTENT:
+              - the file will be included relative to the directory containing the
+                user's flow file.
+              - content: path to the file to include
+              - arcname: path relative to the directory containing the user's flow file
+            - for CODE_CONTENT:
+              - the file will be included relative to the code directory in the package.
+                This will be the directory containing `metaflow`.
+              - content: path to the file to include
+              - arcname: path relative to the code directory in the package
+            - for MODULE_CONTENT:
+              - the module will be added to the code package as a python module. It will
+                be accessible as usual (import )
+              - content: name of the module
+              - arcname: None (ignored)
+            - for OTHER_CONTENT:
+              - the file will be included relative to any other configuration/metadata
+                files for the flow
+              - content: path to the file to include
+              - arcname: path relative to the config directory in the package
         """
         return []
 
@@ -425,10 +516,13 @@ def _base_step_decorator(decotype, *args, **kwargs):
     Decorator prototype for all step decorators. This function gets specialized
     and imported for all decorators types by _import_plugin_decorators().
     """
+
     if args:
         # No keyword arguments specified for the decorator, e.g. @foobar.
         # The first argument is the function to be decorated.
         func = args[0]
+        if isinstance(func, StepMutator):
+            func = func._my_step
         if not hasattr(func, "is_step"):
             raise BadStepDecoratorException(decotype.name, func)
 
@@ -452,6 +546,80 @@ def wrap(f):
         return wrap
 
 
+_all_step_decos = None
+_all_flow_decos = None
+
+
+def get_all_step_decos():
+    global _all_step_decos
+    if _all_step_decos is None:
+        from .plugins import STEP_DECORATORS
+
+        _all_step_decos = {decotype.name: decotype for decotype in STEP_DECORATORS}
+    return _all_step_decos
+
+
+def get_all_flow_decos():
+    global _all_flow_decos
+    if _all_flow_decos is None:
+        from .plugins import FLOW_DECORATORS
+
+        _all_flow_decos = {decotype.name: decotype for decotype in FLOW_DECORATORS}
+    return _all_flow_decos
+
+
+def extract_step_decorator_from_decospec(decospec: str):
+    splits = decospec.split(":", 1)
+    deconame = splits[0]
+
+    # Check if it is a user-defined decorator or metaflow decorator
+    deco_cls = UserStepDecoratorMeta.get_decorator_by_name(deconame)
+    if deco_cls is not None:
+        return (
+            deco_cls.parse_decorator_spec(splits[1] if len(splits) > 1 else ""),
+            len(splits) > 1,
+        )
+
+    # Check if this is a decorator we can import
+    if "." in deconame:
+        # We consider this to be a import path to a user decorator so
+        # something like "my_package.my_decorator"
+        module_name, class_name = deconame.rsplit(".", 1)
+        try:
+            module = importlib.import_module(module_name)
+        except ImportError as e:
+            raise MetaflowException(
+                "Could not import user decorator %s" % deconame
+            ) from e
+        deco_cls = getattr(module, class_name, None)
+        if (
+            deco_cls is None
+            or not isinstance(deco_cls, type)
+            or not issubclass(deco_cls, UserStepDecoratorBase)
+        ):
+            raise UnknownStepDecoratorException(deconame)
+        return (
+            deco_cls.parse_decorator_spec(splits[1] if len(splits) > 1 else ""),
+            len(splits) > 1,
+        )
+
+    raise UnknownStepDecoratorException(deconame)
+
+
+def extract_flow_decorator_from_decospec(decospec: str):
+    splits = decospec.split(":", 1)
+    deconame = splits[0]
+    # Check if it is a user-defined decorator or metaflow decorator
+    deco_cls = FlowMutatorMeta.get_decorator_by_name(deconame)
+    if deco_cls is not None:
+        return (
+            deco_cls.parse_decorator_spec(splits[1] if len(splits) > 1 else ""),
+            len(splits) > 1,
+        )
+    else:
+        raise UnknownFlowDecoratorException(deconame)
+
+
 def _attach_decorators(flow, decospecs):
     """
     Attach decorators to all steps during runtime. This has the same
@@ -464,6 +632,7 @@ def _attach_decorators(flow, decospecs):
     #
     # Note that each step gets its own instance of the decorator class,
     # so decorator can maintain step-specific state.
+
     for step in flow:
         _attach_decorators_to_step(step, decospecs)
 
@@ -474,28 +643,33 @@ def _attach_decorators_to_step(step, decospecs):
     effect as if you defined the decorators statically in the source for
     the step.
     """
-    from .plugins import STEP_DECORATORS
+    for decospec in decospecs:
+        step_deco, _ = extract_step_decorator_from_decospec(decospec)
+        if isinstance(step_deco, StepDecorator):
+            # Check multiple
+            if (
+                step_deco.name not in [deco.name for deco in step.decorators]
+                or step_deco.allow_multiple
+            ):
+                step.decorators.append(step_deco)
+            # Else it is ignored -- this is a non-static decorator
 
-    decos = {decotype.name: decotype for decotype in STEP_DECORATORS}
+        else:
+            step_deco.add_or_raise(step, False, 1, None)
 
-    for decospec in decospecs:
-        splits = decospec.split(":", 1)
-        deconame = splits[0]
-        if deconame not in decos:
-            raise UnknownStepDecoratorException(deconame)
-        # Attach the decorator to step if it doesn't have the decorator
-        # already. This means that statically defined decorators are always
-        # preferred over runtime decorators.
-        if (
-            deconame not in [deco.name for deco in step.decorators]
-            or decos[deconame].allow_multiple
-        ):
-            # if the decorator is present in a step and is of type allow_multiple
-            # then add the decorator to the step
-            deco = decos[deconame]._parse_decorator_spec(
-                splits[1] if len(splits) > 1 else ""
-            )
-            step.decorators.append(deco)
+
+def _init(flow, only_non_static=False):
+    for decorators in flow._flow_decorators.values():
+        for deco in decorators:
+            deco.external_init()
+
+    for flowstep in flow:
+        for deco in flowstep.decorators:
+            deco.external_init()
+        for deco in flowstep.config_decorators or []:
+            deco.external_init()
+        for deco in flowstep.wrappers or []:
+            deco.external_init()
 
 
 def _init_flow_decorators(
@@ -519,8 +693,13 @@ def _init_flow_decorators(
                 )
         else:
             # Each "non-multiple" flow decorator is only allowed to have one set of options
+            # Note that there may be no deco_options if a MutableFlow config injected
+            # the decorator.
             deco_flow_init_options = {
-                option: deco_options[option] for option in deco.options
+                option: deco_options.get(
+                    option.replace("-", "_"), option_info["default"]
+                )
+                for option, option_info in deco.options.items()
             }
         for deco in decorators:
             deco.flow_init(
@@ -536,6 +715,74 @@ def _init_flow_decorators(
 
 
 def _init_step_decorators(flow, graph, environment, flow_datastore, logger):
+    # NOTE: We don't need graph but keeping it for backwards compatibility with
+    # extensions that use it directly. We will remove it at some point.
+
+    # We call the mutate method for both the flow and step mutators.
+    cls = flow.__class__
+    # Run all the decorators. We first run the flow-level decorators
+    # and then the step level ones to maintain a consistent order with how
+    # other decorators are run.
+
+    for deco in cls._flow_state.get(_FlowState.FLOW_MUTATORS, []):
+        if isinstance(deco, FlowMutator):
+            inserted_by_value = [deco.decorator_name] + (deco.inserted_by or [])
+            mutable_flow = MutableFlow(
+                cls,
+                pre_mutate=False,
+                statically_defined=deco.statically_defined,
+                inserted_by=inserted_by_value,
+            )
+            # Sanity check to make sure we are applying the decorator to the right
+            # class
+            if not deco._flow_cls == cls and not issubclass(cls, deco._flow_cls):
+                raise MetaflowInternalError(
+                    "FlowMutator registered on the wrong flow -- "
+                    "expected %s but got %s" % (deco._flow_cls.__name__, cls.__name__)
+                )
+            debug.userconf_exec(
+                "Evaluating flow level decorator %s (post)" % deco.__class__.__name__
+            )
+            deco.mutate(mutable_flow)
+            # We reset cached_parameters on the very off chance that the user added
+            # more configurations based on the configuration
+            if _FlowState.CACHED_PARAMETERS in cls._flow_state:
+                del cls._flow_state[_FlowState.CACHED_PARAMETERS]
+        else:
+            raise MetaflowInternalError(
+                "A non FlowMutator found in flow custom decorators"
+            )
+
+    for step in cls._steps:
+        for deco in step.config_decorators:
+            inserted_by_value = [deco.decorator_name] + (deco.inserted_by or [])
+
+            if isinstance(deco, StepMutator):
+                debug.userconf_exec(
+                    "Evaluating step level decorator %s (post) for %s"
+                    % (deco.__class__.__name__, step.name)
+                )
+                deco.mutate(
+                    MutableStep(
+                        cls,
+                        step,
+                        pre_mutate=False,
+                        statically_defined=deco.statically_defined,
+                        inserted_by=inserted_by_value,
+                    )
+                )
+            else:
+                raise MetaflowInternalError(
+                    "A non StepMutator found in step custom decorators"
+                )
+
+        if step.config_decorators:
+            # We remove all mention of the custom step decorator
+            setattr(cls, step.name, step)
+
+    cls._init_graph()
+    graph = flow._graph
+
     for step in flow:
         for deco in step.decorators:
             deco.step_init(
@@ -549,18 +796,67 @@ def _init_step_decorators(flow, graph, environment, flow_datastore, logger):
             )
 
 
-def step(f):
+FlowSpecDerived = TypeVar("FlowSpecDerived", bound=FlowSpec)
+
+# The StepFlag is a "fake" input item to be able to distinguish
+# callables and those that have had a `@step` decorator on them. This enables us
+# to check the ordering of decorators (ie: put @step first) with the type
+# system. There should be a better way to do this with a more flexible type
+# system but this is what works for now with the Python type system
+StepFlag = NewType("StepFlag", bool)
+
+
+@overload
+def step(
+    f: Callable[[FlowSpecDerived], None],
+) -> Callable[[FlowSpecDerived, StepFlag], None]: ...
+
+
+@overload
+def step(
+    f: Callable[[FlowSpecDerived, Any], None],
+) -> Callable[[FlowSpecDerived, Any, StepFlag], None]: ...
+
+
+def step(
+    f: Union[Callable[[FlowSpecDerived], None], Callable[[FlowSpecDerived, Any], None]],
+):
     """
-    The step decorator. Makes a method a step in the workflow.
+    Marks a method in a FlowSpec as a Metaflow Step. Note that this
+    decorator needs to be placed as close to the method as possible (ie:
+    before other decorators).
+
+    In other words, this is valid:
+    ```
+    @batch
+    @step
+    def foo(self):
+        pass
+    ```
+
+    whereas this is not:
+    ```
+    @step
+    @batch
+    def foo(self):
+        pass
+    ```
+
+    Parameters
+    ----------
+    f : Union[Callable[[FlowSpecDerived], None], Callable[[FlowSpecDerived, Any], None]]
+        Function to make into a Metaflow Step
+
+    Returns
+    -------
+    Union[Callable[[FlowSpecDerived, StepFlag], None], Callable[[FlowSpecDerived, Any, StepFlag], None]]
+        Function that is a Metaflow Step
     """
     f.is_step = True
     f.decorators = []
-    try:
-        # python 3
-        f.name = f.__name__
-    except:
-        # python 2
-        f.name = f.__func__.func_name
+    f.config_decorators = []
+    f.wrappers = []
+    f.name = f.__name__
     return f
 
 
diff --git a/metaflow/events.py b/metaflow/events.py
index ef6d216bdac..54c52ecd7d3 100644
--- a/metaflow/events.py
+++ b/metaflow/events.py
@@ -1,6 +1,11 @@
 from collections import OrderedDict, namedtuple
 from datetime import datetime
 
+from typing import List, Optional, TYPE_CHECKING, Union
+
+if TYPE_CHECKING:
+    import metaflow
+
 MetaflowEvent = namedtuple("MetaflowEvent", ["name", "id", "timestamp", "type"])
 MetaflowEvent.__doc__ = """
     Container of metadata that identifies the event that triggered
@@ -50,7 +55,7 @@ def __init__(self, _meta=None):
         ]
 
     @classmethod
-    def from_runs(cls, run_objs):
+    def from_runs(cls, run_objs: List["metaflow.Run"]):
         run_objs.sort(key=lambda x: x.finished_at, reverse=True)
         trigger = Trigger(
             [
@@ -67,7 +72,7 @@ def from_runs(cls, run_objs):
         return trigger
 
     @property
-    def event(self):
+    def event(self) -> Optional[MetaflowEvent]:
         """
         The `MetaflowEvent` object corresponding to the triggering event.
 
@@ -81,7 +86,7 @@ def event(self):
         return next(iter(self._events), None)
 
     @property
-    def events(self):
+    def events(self) -> Optional[List[MetaflowEvent]]:
         """
         The list of `MetaflowEvent` objects correspondings to all the triggering events.
 
@@ -93,7 +98,7 @@ def events(self):
         return list(self._events) or None
 
     @property
-    def run(self):
+    def run(self) -> Optional["metaflow.Run"]:
         """
         The corresponding `Run` object if the triggering event is a Metaflow run.
 
@@ -110,7 +115,7 @@ def run(self):
         return next(iter(self._runs), None)
 
     @property
-    def runs(self):
+    def runs(self) -> Optional[List["metaflow.Run"]]:
         """
         The list of `Run` objects in the triggering events.
         Returns `None` if none of the triggering events are `Run` objects.
@@ -136,9 +141,15 @@ def runs(self):
 
         return list(self._runs) or None
 
-    def __getitem__(self, key):
+    def __getitem__(self, key: str) -> Union["metaflow.Run", MetaflowEvent]:
         """
-        If triggering events are runs, `key` corresponds to the flow name of the triggering run. Returns a triggering `Run` object corresponding to the key. If triggering events are not runs, `key` corresponds to the event name and a `MetaflowEvent` object is returned.
+        If triggering events are runs, `key` corresponds to the flow name of the triggering run.
+        Otherwise, `key` corresponds to the event name and a `MetaflowEvent` object is returned.
+
+        Returns
+        -------
+        Union[Run, MetaflowEvent]
+            `Run` object if triggered by a run. Otherwise returns a `MetaflowEvent`.
         """
         if self.runs:
             for run in self.runs:
@@ -155,8 +166,8 @@ def __iter__(self):
             return iter(self.events)
         return iter([])
 
-    def __contains__(self, id):
+    def __contains__(self, ident: str) -> bool:
         try:
-            return bool(self.__getitem__(id))
+            return bool(self.__getitem__(ident))
         except KeyError:
             return False
diff --git a/metaflow/exception.py b/metaflow/exception.py
index 4b85a2d1b39..f0f021a2a05 100644
--- a/metaflow/exception.py
+++ b/metaflow/exception.py
@@ -43,13 +43,19 @@ def __str__(self):
 class MetaflowException(Exception):
     headline = "Flow failed"
 
-    def __init__(self, msg="", lineno=None):
+    def __init__(self, msg="", lineno=None, source_file=None):
         self.message = msg
         self.line_no = lineno
+        self.source_file = source_file
         super(MetaflowException, self).__init__()
 
     def __str__(self):
-        prefix = "line %d: " % self.line_no if self.line_no else ""
+        prefix = ""
+        if self.source_file:
+            prefix = "%s:" % self.source_file
+        if self.line_no:
+            prefix = "line %d:" % self.line_no
+        prefix = "%s: " % prefix if prefix else ""
         return "%s%s" % (prefix, self.message)
 
 
diff --git a/metaflow/extension_support/__init__.py b/metaflow/extension_support/__init__.py
index ff55652a217..81f5f5be2b3 100644
--- a/metaflow/extension_support/__init__.py
+++ b/metaflow/extension_support/__init__.py
@@ -1,7 +1,6 @@
 from __future__ import print_function
 
 import importlib
-import json
 import os
 import re
 import sys
@@ -11,6 +10,10 @@
 
 from importlib.abc import MetaPathFinder, Loader
 from itertools import chain
+from pathlib import Path
+
+from metaflow.meta_files import read_info_file
+
 
 #
 # This file provides the support for Metaflow's extension mechanism which allows
@@ -59,6 +62,9 @@
     "load_module",
     "get_modules",
     "dump_module_info",
+    "get_extensions_in_dir",
+    "extension_info",
+    "update_package_info",
     "get_aliased_modules",
     "package_mfext_package",
     "package_mfext_all",
@@ -80,9 +86,14 @@
 # To get verbose messages, set METAFLOW_DEBUG_EXT to 1
 DEBUG_EXT = os.environ.get("METAFLOW_DEBUG_EXT", False)
 
+# This is extracted only from environment variable and here separately from
+# metaflow_config to prevent nasty circular dependencies
+EXTENSIONS_SEARCH_DIRS = os.environ.get("METAFLOW_EXTENSIONS_SEARCH_DIRS", "").split(
+    os.pathsep
+)
 
 MFExtPackage = namedtuple("MFExtPackage", "package_name tl_package config_module")
-MFExtModule = namedtuple("MFExtModule", "tl_package module")
+MFExtModule = namedtuple("MFExtModule", "package_name tl_package module")
 
 
 def load_module(module_name):
@@ -92,9 +103,6 @@ def load_module(module_name):
 
 def get_modules(extension_point):
     modules_to_load = []
-    if not _mfext_supported:
-        _ext_debug("Not supported for your Python version -- 3.4+ is needed")
-        return []
     if extension_point not in _extension_points:
         raise RuntimeError(
             "Metaflow extension point '%s' not supported" % extension_point
@@ -113,17 +121,61 @@ def get_modules(extension_point):
     return modules_to_load
 
 
-def dump_module_info():
-    _filter_files_all()
+def dump_module_info(all_packages=None, pkgs_per_extension_point=None):
+    if all_packages is None:
+        all_packages = _all_packages
+    if pkgs_per_extension_point is None:
+        pkgs_per_extension_point = _pkgs_per_extension_point
+
+    _filter_files_all(all_packages)
     sanitized_all_packages = dict()
     # Strip out root_paths (we don't need it and no need to expose user's dir structure)
-    for k, v in _all_packages.items():
+    for k, v in all_packages.items():
         sanitized_all_packages[k] = {
             "root_paths": None,
             "meta_module": v["meta_module"],
             "files": v["files"],
+            "version": v["version"],
+            "package_version": v.get("package_version", ""),
+            "extension_name": v.get("extension_name", ""),
         }
-    return "ext_info", [sanitized_all_packages, _pkgs_per_extension_point]
+    return "ext_info", [sanitized_all_packages, pkgs_per_extension_point]
+
+
+def get_extensions_in_dir(d):
+    return _get_extension_packages(ignore_info_file=True, restrict_to_directories=[d])
+
+
+def extension_info(packages=None):
+    if packages is None:
+        packages = _all_packages
+    # Returns information about installed extensions so it it can be stored in
+    # _graph_info.
+    return {
+        "installed": {
+            k: {
+                "dist_version": v["version"],
+                "package_version": v.get("package_version", ""),
+                "extension_name": v.get("extension_name", ""),
+            }
+            for k, v in packages.items()
+        },
+    }
+
+
+def update_package_info(pkg_to_update=None, package_name=None, **kwargs):
+    pkg = None
+    if pkg_to_update:
+        pkg = pkg_to_update
+    elif package_name:
+        pkg = _all_packages.get(package_name)
+    for k, v in kwargs.items():
+        if k in pkg:
+            raise ValueError(
+                "Trying to overwrite existing key '%s' for package %s" % (k, str(pkg))
+            )
+        pkg[k] = v
+    return pkg
 
 
 def get_aliased_modules():
@@ -134,8 +186,8 @@ def package_mfext_package(package_name):
     from metaflow.util import to_unicode
 
     _ext_debug("Packaging '%s'" % package_name)
-    _filter_files_package(package_name)
     pkg_info = _all_packages.get(package_name, None)
+    _filter_files_package(pkg_info)
     if pkg_info and pkg_info.get("root_paths", None):
         single_path = len(pkg_info["root_paths"]) == 1
         for p in pkg_info["root_paths"]:
@@ -162,6 +214,10 @@ def package_mfext_all():
             yield path_tuple
 
 
+def package_mfext_all_descriptions():
+    return _all_packages
+
+
 def load_globals(module, dst_globals, extra_indent=False):
     if extra_indent:
         extra_indent = "    "
@@ -254,19 +310,16 @@ def multiload_all(modules, extension_point, dst_globals):
 
 
 _py_ver = sys.version_info[:2]
-_mfext_supported = False
 _aliased_modules = []
 
-if _py_ver >= (3, 4):
-    import importlib.util
+import importlib.util
 
-    if _py_ver >= (3, 8):
-        from importlib import metadata
-    elif _py_ver >= (3, 6):
-        from metaflow._vendor.v3_6 import importlib_metadata as metadata
-    else:
-        from metaflow._vendor.v3_5 import importlib_metadata as metadata
-    _mfext_supported = True
+if _py_ver >= (3, 8):
+    from importlib import metadata
+elif _py_ver >= (3, 7):
+    from metaflow._vendor.v3_7 import importlib_metadata as metadata
+else:
+    from metaflow._vendor.v3_6 import importlib_metadata as metadata
 
 # Extension points are the directories that can be present in a EXT_PKG to
 # contribute to that extension point. For example, if you have
@@ -294,41 +347,41 @@ def _ext_debug(*args, **kwargs):
         print(init_str, *args, **kwargs)
 
 
-def _get_extension_packages():
-    if not _mfext_supported:
-        _ext_debug("Not supported for your Python version -- 3.4+ is needed")
-        return {}, {}
-
+def _get_extension_packages(ignore_info_file=False, restrict_to_directories=None):
     # If we have an INFO file with the appropriate information (if running from a saved
     # code package for example), we use that directly
     # Pre-compute on _extension_points
-    from metaflow import INFO_FILE
-
-    try:
-        with open(INFO_FILE, encoding="utf-8") as contents:
-            all_pkg, ext_to_pkg = json.load(contents).get("ext_info", (None, None))
-            if all_pkg is not None and ext_to_pkg is not None:
-                _ext_debug("Loading pre-computed information from INFO file")
-                # We need to properly convert stuff in ext_to_pkg
-                for k, v in ext_to_pkg.items():
-                    v = [MFExtPackage(*d) for d in v]
-                    ext_to_pkg[k] = v
-                return all_pkg, ext_to_pkg
-    except IOError:
-        pass
+    info_content = read_info_file()
+    if not ignore_info_file and info_content:
+        all_pkg, ext_to_pkg = info_content.get("ext_info", (None, None))
+        if all_pkg is not None and ext_to_pkg is not None:
+            _ext_debug("Loading pre-computed information from INFO file")
+            # We need to properly convert stuff in ext_to_pkg
+            for k, v in ext_to_pkg.items():
+                v = [MFExtPackage(*d) for d in v]
+                ext_to_pkg[k] = v
+            return all_pkg, ext_to_pkg
+
+    # Late import to prevent some circular nastiness
+    if restrict_to_directories is None and EXTENSIONS_SEARCH_DIRS != [""]:
+        restrict_to_directories = EXTENSIONS_SEARCH_DIRS
 
     # Check if we even have extensions
     try:
         extensions_module = importlib.import_module(EXT_PKG)
     except ImportError as e:
-        if _py_ver >= (3, 6):
-            # e.name is set to the name of the package that fails to load
-            # so don't error ONLY IF the error is importing this module (but do
-            # error if there is a transitive import error)
-            if not (isinstance(e, ModuleNotFoundError) and e.name == EXT_PKG):
-                raise
+        # e.name is set to the name of the package that fails to load
+        # so don't error ONLY IF the error is importing this module (but do
+        # error if there is a transitive import error)
+        if not (isinstance(e, ModuleNotFoundError) and e.name == EXT_PKG):
+            raise
         return {}, {}
 
+    if restrict_to_directories:
+        restrict_to_directories = [
+            Path(p).resolve().as_posix() for p in restrict_to_directories
+        ]
+
     # There are two "types" of packages:
     #   - those installed on the system (distributions)
     #   - those present in the PYTHONPATH
@@ -341,8 +394,12 @@ def _get_extension_packages():
     # At this point, we look at all the paths and create a set. As we find distributions
     # that match it, we will remove from the set and then will be left with any
     # PYTHONPATH "packages"
-    all_paths = set(extensions_module.__path__)
+    all_paths = set(Path(p).resolve().as_posix() for p in extensions_module.__path__)
     _ext_debug("Found packages present at %s" % str(all_paths))
+    if restrict_to_directories:
+        _ext_debug(
+            "Processed packages will be restricted to %s" % str(restrict_to_directories)
+        )
 
     list_ext_points = [x.split(".") for x in _extension_points]
     init_ext_points = [x[0] for x in list_ext_points]
@@ -384,19 +441,34 @@ def _get_extension_packages():
         if any(
             [pkg == EXT_PKG for pkg in (dist.read_text("top_level.txt") or "").split()]
         ):
-            if dist.metadata["Name"] in mf_ext_packages:
+            # In all cases (whether duplicate package or not), we remove the package
+            # from the list of locations to look in.
+            # This is not 100% accurate because it is possible that at the same
+            # location there is a package and a non-package, but this is extremely
+            # unlikely so we are going to ignore this case.
+            dist_root = dist.locate_file(EXT_PKG).resolve().as_posix()
+            all_paths.discard(dist_root)
+            dist_name = dist.metadata["Name"]
+            dist_version = dist.metadata["Version"]
+            if restrict_to_directories:
+                parent_dirs = list(
+                    p.as_posix() for p in Path(dist_root).resolve().parents
+                )
+                if all(p not in parent_dirs for p in restrict_to_directories):
+                    _ext_debug(
+                        "Ignoring package at %s as it is not in the considered directories"
+                        % dist_root
+                    )
+                    continue
+            if dist_name in mf_ext_packages:
                 _ext_debug(
                     "Ignoring duplicate package '%s' (duplicate paths in sys.path? (%s))"
-                    % (dist.metadata["Name"], str(sys.path))
+                    % (dist_name, str(sys.path))
                 )
                 continue
-            _ext_debug("Found extension package '%s'..." % dist.metadata["Name"])
-
-            # Remove the path from the paths to search. This is not 100% accurate because
-            # it is possible that at that same location there is a package and a non-package,
-            # but it is exceedingly unlikely, so we are going to ignore this.
-            dist_root = dist.locate_file(EXT_PKG).as_posix()
-            all_paths.discard(dist_root)
+            _ext_debug(
+                "Found extension package '%s' at '%s'..." % (dist_name, dist_root)
+            )
 
             files_to_include = []
             meta_module = None
@@ -414,7 +486,7 @@ def _get_extension_packages():
                     if parts[1] == "__init__.py":
                         raise RuntimeError(
                             "Package '%s' providing '%s' is not an implicit namespace "
-                            "package as required" % (dist.metadata["Name"], EXT_PKG)
+                            "package as required" % (dist_name, EXT_PKG)
                         )
 
                     # Record the file as a candidate for inclusion when packaging if
@@ -431,7 +503,7 @@ def _get_extension_packages():
                             "Package '%s' should conform to '%s.X.%s' and not '%s.%s' where "
                             "X is your organization's name for example"
                             % (
-                                dist.metadata["Name"],
+                                dist_name,
                                 EXT_PKG,
                                 parts[1],
                                 EXT_PKG,
@@ -448,7 +520,7 @@ def _get_extension_packages():
                                 "Package '%s' defines more than one meta configuration: "
                                 "'%s' and '%s' (at least)"
                                 % (
-                                    dist.metadata["Name"],
+                                    dist_name,
                                     meta_module,
                                     potential_meta_module,
                                 )
@@ -465,7 +537,7 @@ def _get_extension_packages():
 
                     # To give useful errors in case multiple top-level packages in
                     # one package
-                    dist_full_name = "%s[%s]" % (dist.metadata["Name"], parts[1])
+                    dist_full_name = "%s[%s]" % (dist_name, parts[1])
                     for idx, ext_list in enumerate(list_ext_points):
                         if (
                             len(parts) > len(ext_list) + 2
@@ -484,7 +556,7 @@ def _get_extension_packages():
                                 config_to_pkg[config_module].append(dist_full_name)
                             cur_pkg = (
                                 extension_points_to_pkg[_extension_points[idx]]
-                                .setdefault(dist.metadata["Name"], {})
+                                .setdefault(dist_name, {})
                                 .get(parts[1])
                             )
                             if cur_pkg is not None:
@@ -508,9 +580,9 @@ def _get_extension_packages():
                                         % (parts[1], config_module)
                                     )
                                     extension_points_to_pkg[_extension_points[idx]][
-                                        dist.metadata["Name"]
+                                        dist_name
                                     ][parts[1]] = MFExtPackage(
-                                        package_name=dist.metadata["Name"],
+                                        package_name=dist_name,
                                         tl_package=parts[1],
                                         config_module=config_module,
                                     )
@@ -520,17 +592,18 @@ def _get_extension_packages():
                                     % (parts[1], _extension_points[idx], config_module)
                                 )
                                 extension_points_to_pkg[_extension_points[idx]][
-                                    dist.metadata["Name"]
+                                    dist_name
                                 ][parts[1]] = MFExtPackage(
-                                    package_name=dist.metadata["Name"],
+                                    package_name=dist_name,
                                     tl_package=parts[1],
                                     config_module=config_module,
                                 )
                             break
-            mf_ext_packages[dist.metadata["Name"]] = {
+            mf_ext_packages[dist_name] = {
                 "root_paths": [dist_root],
                 "meta_module": meta_module,
                 "files": files_to_include,
+                "version": dist_version,
             }
     # At this point, we have all the packages that contribute to EXT_PKG,
     # we now check to see if there is an order to respect based on dependencies. We will
@@ -599,6 +672,16 @@ def _get_extension_packages():
     if len(all_paths_list) > 0:
         _ext_debug("Non installed packages present at %s" % str(all_paths))
         for package_count, package_path in enumerate(all_paths_list):
+            if restrict_to_directories:
+                parent_dirs = list(
+                    p.as_posix() for p in Path(package_path).resolve().parents
+                )
+                if all(p not in parent_dirs for p in restrict_to_directories):
+                    _ext_debug(
+                        "Ignoring non-installed package at %s as it is not in "
+                        "the considered directories" % package_path
+                    )
+                    continue
             # We give an alternate name for the visible package name. It is
             # not exposed to the end user but used to refer to the package, and it
             # doesn't provide much additional information to have the full path
@@ -729,12 +812,16 @@ def _get_extension_packages():
                                 "    Extends '%s' with config '%s'"
                                 % (_extension_points[idx], config_module)
                             )
-            mf_pkg_list.append(package_name)
-            mf_ext_packages[package_name] = {
-                "root_paths": [package_path],
-                "meta_module": meta_module,
-                "files": files_to_include,
-            }
+            if files_to_include:
+                mf_pkg_list.append(package_name)
+                mf_ext_packages[package_name] = {
+                    "root_paths": [package_path],
+                    "meta_module": meta_module,
+                    "files": files_to_include,
+                    "version": "_local_",
+                }
+            else:
+                _ext_debug("Skipping package as no files found (empty dir?)")
 
     # Sanity check that we only have one package per configuration file.
     # This prevents multiple packages from providing the same named configuration
@@ -798,20 +885,19 @@ def _attempt_load_module(module_name):
     try:
         extension_module = importlib.import_module(module_name)
     except ImportError as e:
-        if _py_ver >= (3, 6):
-            # e.name is set to the name of the package that fails to load
-            # so don't error ONLY IF the error is importing this module (but do
-            # error if there is a transitive import error)
-            errored_names = [EXT_PKG]
-            parts = module_name.split(".")
-            for p in parts[1:]:
-                errored_names.append("%s.%s" % (errored_names[-1], p))
-            if not (isinstance(e, ModuleNotFoundError) and e.name in errored_names):
-                print(
-                    "The following exception occurred while trying to load '%s' ('%s')"
-                    % (EXT_PKG, module_name)
-                )
-                raise
+        # e.name is set to the name of the package that fails to load
+        # so don't error ONLY IF the error is importing this module (but do
+        # error if there is a transitive import error)
+        errored_names = [EXT_PKG]
+        parts = module_name.split(".")
+        for p in parts[1:]:
+            errored_names.append("%s.%s" % (errored_names[-1], p))
+        if not (isinstance(e, ModuleNotFoundError) and e.name in errored_names):
+            print(
+                "The following exception occurred while trying to load '%s' ('%s')"
+                % (EXT_PKG, module_name)
+            )
+            raise
         _ext_debug("        Unknown error when loading '%s': %s" % (module_name, e))
         return None
     else:
@@ -862,12 +948,13 @@ def _get_extension_config(distribution_name, tl_pkg, extension_point, config_mod
             _ext_debug("Package '%s' is rooted at %s" % (distribution_name, root_paths))
             _all_packages[distribution_name]["root_paths"] = root_paths
 
-        return MFExtModule(tl_package=tl_pkg, module=extension_module)
+        return MFExtModule(
+            package_name=distribution_name, tl_package=tl_pkg, module=extension_module
+        )
     return None
 
 
-def _filter_files_package(package_name):
-    pkg = _all_packages.get(package_name)
+def _filter_files_package(pkg):
     if pkg and pkg["root_paths"] and pkg["meta_module"]:
         meta_module = _attempt_load_module(pkg["meta_module"])
         if meta_module:
@@ -896,8 +983,8 @@ def _filter_files_package(package_name):
             pkg["files"] = new_files
 
 
-def _filter_files_all():
-    for p in _all_packages:
+def _filter_files_all(all_packages):
+    for p in all_packages.values():
         _filter_files_package(p)
 
 
@@ -974,9 +1061,9 @@ def exec_module(self, module):
             if self._previously_loaded_module:
                 sys.modules[self._orig_name] = self._previously_loaded_module
             if self._previously_loaded_parent_module:
-                sys.modules[
-                    ".".join(self._orig_name.split(".")[:-1])
-                ] = self._previously_loaded_parent_module
+                sys.modules[".".join(self._orig_name.split(".")[:-1])] = (
+                    self._previously_loaded_parent_module
+                )
 
 
 class _LazyFinder(MetaPathFinder):
diff --git a/metaflow/extension_support/_empty_file.py b/metaflow/extension_support/_empty_file.py
index d59e1556ddb..dbdcba34c17 100644
--- a/metaflow/extension_support/_empty_file.py
+++ b/metaflow/extension_support/_empty_file.py
@@ -1,2 +1,2 @@
-# This file serves as a __init__.py for metaflow_extensions when it is packaged
-# and needs to remain empty.
+# This file serves as a __init__.py for metaflow_extensions or metaflow
+# packages when they are packaged and needs to remain empty.
diff --git a/metaflow/extension_support/plugins.py b/metaflow/extension_support/plugins.py
index 15d4c90bdcd..4cad3a9762d 100644
--- a/metaflow/extension_support/plugins.py
+++ b/metaflow/extension_support/plugins.py
@@ -93,7 +93,32 @@ def merge_lists(base, overrides, attr):
     base[:] = l[:]
 
 
-def resolve_plugins(category):
+def get_plugin(category, class_path, name):
+    path, cls_name = class_path.rsplit(".", 1)
+    try:
+        plugin_module = importlib.import_module(path)
+    except ImportError as e:
+        raise ValueError(
+            "Cannot locate %s plugin '%s' at '%s'" % (category, name, path)
+        ) from e
+    cls = getattr(plugin_module, cls_name, None)
+    if cls is None:
+        raise ValueError(
+            "Cannot locate '%s' class for %s plugin at '%s'"
+            % (cls_name, category, path)
+        )
+    extracted_name = get_plugin_name(category, cls)
+    if extracted_name and extracted_name != name:
+        raise ValueError(
+            "Class '%s' at '%s' for %s plugin expected to be named '%s' but got '%s'"
+            % (cls_name, path, category, name, extracted_name)
+        )
+    globals()[cls_name] = cls
+    _ext_debug("        Added %s plugin '%s' from '%s'" % (category, name, class_path))
+    return cls
+
+
+def resolve_plugins(category, path_only=False):
     # Called to return a list of classes that are the available plugins for 'category'
 
     # The ENABLED_ variable is set in process_plugins
@@ -114,7 +139,7 @@ def resolve_plugins(category):
 
     available_plugins = globals()[_dict_for_category(category)]
     name_extractor = _plugin_categories[category]
-    if not name_extractor:
+    if path_only or not name_extractor:
         # If we have no name function, it means we just use the name in the dictionary
         # and we return a dictionary. This is for sidecars mostly as they do not have
         # a field that indicates their name
@@ -132,32 +157,14 @@ def resolve_plugins(category):
                 "Configuration requested %s plugin '%s' but no such plugin is available"
                 % (category, name)
             )
-        path, cls_name = class_path.rsplit(".", 1)
-        try:
-            plugin_module = importlib.import_module(path)
-        except ImportError:
-            raise ValueError(
-                "Cannot locate %s plugin '%s' at '%s'" % (category, name, path)
-            )
-        cls = getattr(plugin_module, cls_name, None)
-        if cls is None:
-            raise ValueError(
-                "Cannot locate '%s' class for %s plugin at '%s'"
-                % (cls_name, category, path)
-            )
-        if name_extractor and name_extractor(cls) != name:
-            raise ValueError(
-                "Class '%s' at '%s' for %s plugin expected to be named '%s' but got '%s'"
-                % (cls_name, path, category, name, name_extractor(cls))
-            )
-        globals()[cls_name] = cls
-        if name_extractor is not None:
-            to_return.append(cls)
+        if path_only:
+            to_return[name] = class_path
         else:
-            to_return[name] = cls
-        _ext_debug(
-            "        Added %s plugin '%s' from '%s'" % (category, name, class_path)
-        )
+            if name_extractor is not None:
+                to_return.append(get_plugin(category, class_path, name))
+            else:
+                to_return[name] = get_plugin(category, class_path, name)
+
     return to_return
 
 
@@ -178,17 +185,30 @@ def resolve_plugins(category):
     "environment": lambda x: x.TYPE,
     "metadata_provider": lambda x: x.TYPE,
     "datastore": lambda x: x.TYPE,
+    "dataclient": lambda x: x.TYPE,
     "secrets_provider": lambda x: x.TYPE,
+    "gcp_client_provider": lambda x: x.name,
+    "deployer_impl_provider": lambda x: x.TYPE,
+    "azure_client_provider": lambda x: x.name,
     "sidecar": None,
     "logging_sidecar": None,
     "monitor_sidecar": None,
     "aws_client_provider": lambda x: x.name,
-    "cli": lambda x: list(x.commands)[0]
-    if len(x.commands) == 1
-    else "too many commands",
+    "cli": lambda x: (
+        list(x.commands)[0] if len(x.commands) == 1 else "too many commands"
+    ),
+    "runner_cli": lambda x: x.name,
+    "tl_plugin": None,
 }
 
 
+def get_plugin_name(category, plugin):
+    extractor = _plugin_categories[category]
+    if extractor:
+        return extractor(plugin)
+    return None
+
+
 def _list_for_category(category):
     # Convenience function to name the variable containing List[Tuple[str, str]] where
     # each tuple contains:
diff --git a/metaflow/flowspec.py b/metaflow/flowspec.py
index 827d7a34c15..d9410dd1ac6 100644
--- a/metaflow/flowspec.py
+++ b/metaflow/flowspec.py
@@ -2,20 +2,37 @@
 import os
 import sys
 import traceback
+import reprlib
 
+from enum import Enum
 from itertools import islice
 from types import FunctionType, MethodType
-from typing import Any, Callable, List, Optional, Tuple
+from typing import TYPE_CHECKING, Any, Callable, List, Optional, Tuple
 
-from . import cmd_with_io
+from . import cmd_with_io, parameters
+from .debug import debug
 from .parameters import DelayedEvaluationParameter, Parameter
 from .exception import (
     MetaflowException,
     MissingInMergeArtifactsException,
+    MetaflowInternalError,
     UnhandledInMergeArtifactsException,
 )
+
+from .extension_support import extension_info
+
 from .graph import FlowGraph
 from .unbounded_foreach import UnboundedForeachInput
+from .user_configs.config_parameters import ConfigValue
+
+from .user_decorators.mutable_flow import MutableFlow
+from .user_decorators.mutable_step import MutableStep
+from .user_decorators.user_flow_decorator import FlowMutator
+from .user_decorators.user_step_decorator import StepMutator
+
+
+from .util import to_pod
+from .metaflow_config import INCLUDE_FOREACH_STACK, MAXIMUM_FOREACH_VALUE_CHARS
 
 # For Python 3 compatibility
 try:
@@ -26,6 +43,16 @@
 
 from .datastore.inputs import Inputs
 
+INTERNAL_ARTIFACTS_SET = set(
+    [
+        "_foreach_values",
+        "_unbounded_foreach",
+        "_control_mapper_tasks",
+        "_control_task_is_mapper_zero",
+        "_parallel_ubf_iter",
+    ]
+)
+
 
 class InvalidNextException(MetaflowException):
     headline = "Invalid self.next() transition detected"
@@ -49,7 +76,87 @@ def __getitem__(self, item):
         return item or 0  # item is None for the control task, but it is also split 0
 
 
-class FlowSpec(object):
+class _FlowState(Enum):
+    CONFIGS = 1
+    FLOW_MUTATORS = 2
+    CACHED_PARAMETERS = 3
+    SET_CONFIG_PARAMETERS = (
+        4  # These are Parameters that now have a ConfigValue (converted)
+    )
+    # but we need to remember them.
+
+
+class FlowSpecMeta(type):
+    def __init__(cls, name, bases, attrs):
+        super().__init__(name, bases, attrs)
+        if name == "FlowSpec":
+            return
+
+        cls._init_attrs()
+
+    def _init_attrs(cls):
+        from .decorators import (
+            DuplicateFlowDecoratorException,
+        )  # Prevent circular import
+
+        # We store some state in the flow class itself. This is primarily used to
+        # attach global state to a flow. It is *not* an actual global because of
+        # Runner/NBRunner. This is also created here in the meta class to avoid it being
+        # shared between different children classes.
+
+        # We should move _flow_decorators into this structure as well but keeping it
+        # out to limit the changes for now.
+        cls._flow_decorators = {}
+
+        # Keys are _FlowState enum values
+        cls._flow_state = {}
+
+        # Keep track if configs have been processed -- this is particularly applicable
+        # for the Runner/Deployer where calling multiple APIs on the same flow could
+        # cause the configs to be processed multiple times. For a given flow, once
+        # the configs have been processed, we do not process them again.
+        cls._configs_processed = False
+
+        # We inherit stuff from our parent classes as well -- we need to be careful
+        # in terms of the order; we will follow the MRO with the following rules:
+        #  - decorators (cls._flow_decorators) will cause an error if they do not
+        #    support multiple and we see multiple instances of the same
+        #  - config decorators will be joined
+        #  - configs will be added later directly by the class; base class configs will
+        #    be taken into account as they would be inherited.
+
+        # We only need to do this for the base classes since the current class will
+        # get updated as decorators are parsed.
+        for base in cls.__mro__:
+            if base != cls and base != FlowSpec and issubclass(base, FlowSpec):
+                # Take care of decorators
+                for deco_name, deco in base._flow_decorators.items():
+                    if deco_name in cls._flow_decorators and not deco.allow_multiple:
+                        raise DuplicateFlowDecoratorException(deco_name)
+                    cls._flow_decorators.setdefault(deco_name, []).extend(deco)
+
+                # Take care of configs and flow mutators
+                base_configs = base._flow_state.get(_FlowState.CONFIGS)
+                if base_configs:
+                    cls._flow_state.setdefault(_FlowState.CONFIGS, {}).update(
+                        base_configs
+                    )
+                base_mutators = base._flow_state.get(_FlowState.FLOW_MUTATORS)
+                if base_mutators:
+                    cls._flow_state.setdefault(_FlowState.FLOW_MUTATORS, []).extend(
+                        base_mutators
+                    )
+
+        cls._init_graph()
+
+    def _init_graph(cls):
+        # Graph and steps are specific to the class -- store here so we can access
+        # in class method _process_config_decorators
+        cls._graph = FlowGraph(cls)
+        cls._steps = [getattr(cls, node.name) for node in cls._graph]
+
+
+class FlowSpec(metaclass=FlowSpecMeta):
     """
     Main class from which all Flows should inherit.
 
@@ -69,6 +176,7 @@ class FlowSpec(object):
         "_cached_input",
         "_graph",
         "_flow_decorators",
+        "_flow_state",
         "_steps",
         "index",
         "input",
@@ -79,15 +187,13 @@ class FlowSpec(object):
     # names starting with `_` as those are already excluded from `_get_parameters`.
     _NON_PARAMETERS = {"cmd", "foreach_stack", "index", "input", "script_name", "name"}
 
-    _flow_decorators = {}
-
     def __init__(self, use_cli=True):
         """
         Construct a FlowSpec
 
         Parameters
         ----------
-        use_cli : bool, default: True
+        use_cli : bool, default True
             Set to True if the flow is invoked from __main__ or the command line
         """
 
@@ -97,15 +203,11 @@ def __init__(self, use_cli=True):
         self._transition = None
         self._cached_input = {}
 
-        self._graph = FlowGraph(self.__class__)
-        self._steps = [getattr(self, node.name) for node in self._graph]
-
         if use_cli:
-            # we import cli here to make sure custom parameters in
-            # args.py get fully evaluated before cli.py is imported.
-            from . import cli
+            with parameters.flow_context(self.__class__) as _:
+                from . import cli
 
-            cli.main(self)
+                cli.main(self)
 
     @property
     def script_name(self) -> str:
@@ -124,16 +226,12 @@ def script_name(self) -> str:
             fname = fname[:-1]
         return os.path.basename(fname)
 
-    def _set_constants(self, graph, kwargs):
-        from metaflow.decorators import (
-            flow_decorators,
-        )  # To prevent circular dependency
-
-        # Persist values for parameters and other constants (class level variables)
-        # only once. This method is called before persist_constants is called to
-        # persist all values set using setattr
+    @classmethod
+    def _check_parameters(cls, config_parameters=False):
         seen = set()
-        for var, param in self._get_parameters():
+        for _, param in cls._get_parameters():
+            if param.IS_CONFIG_PARAMETER != config_parameters:
+                continue
             norm = param.name.lower()
             if norm in seen:
                 raise MetaflowException(
@@ -142,17 +240,151 @@ def _set_constants(self, graph, kwargs):
                     "case-insensitive." % param.name
                 )
             seen.add(norm)
-        seen.clear()
+
+    @classmethod
+    def _process_config_decorators(cls, config_options, process_configs=True):
+        if cls._configs_processed:
+            debug.userconf_exec("Mutating step/flow decorators already processed")
+            return None
+        cls._configs_processed = True
+
+        # Fast path for no user configurations
+        if not process_configs or (
+            not cls._flow_state.get(_FlowState.FLOW_MUTATORS)
+            and all(len(step.config_decorators) == 0 for step in cls._steps)
+        ):
+            # Process parameters to allow them to also use config values easily
+            for var, param in cls._get_parameters():
+                if isinstance(param, ConfigValue) or param.IS_CONFIG_PARAMETER:
+                    continue
+                param.init(not process_configs)
+            return None
+
+        debug.userconf_exec("Processing mutating step/flow decorators")
+        # We need to convert all the user configurations from DelayedEvaluationParameters
+        # to actual values so they can be used as is in the mutators.
+
+        # We, however, need to make sure _get_parameters still works properly so
+        # we store what was a config and has been set to a specific value.
+        # This is safe to do for now because all other uses of _get_parameters typically
+        # do not rely on the variable itself but just the parameter.
+        to_save_configs = []
+        cls._check_parameters(config_parameters=True)
+        for var, param in cls._get_parameters():
+            if not param.IS_CONFIG_PARAMETER:
+                continue
+            # Note that a config with no default and not required will be None
+            val = config_options.get(param.name.replace("-", "_").lower())
+            if isinstance(val, DelayedEvaluationParameter):
+                val = val()
+            # We store the value as well so that in _set_constants, we don't try
+            # to recompute (no guarantee that it is stable)
+            param._store_value(val)
+            to_save_configs.append((var, param))
+            debug.userconf_exec("Setting config %s to %s" % (var, str(val)))
+            setattr(cls, var, val)
+
+        cls._flow_state[_FlowState.SET_CONFIG_PARAMETERS] = to_save_configs
+        # Run all the decorators. We first run the flow-level decorators
+        # and then the step level ones to maintain a consistent order with how
+        # other decorators are run.
+
+        for deco in cls._flow_state.get(_FlowState.FLOW_MUTATORS, []):
+            if isinstance(deco, FlowMutator):
+                inserted_by_value = [deco.decorator_name] + (deco.inserted_by or [])
+                mutable_flow = MutableFlow(
+                    cls,
+                    pre_mutate=True,
+                    statically_defined=deco.statically_defined,
+                    inserted_by=inserted_by_value,
+                )
+                # Sanity check to make sure we are applying the decorator to the right
+                # class
+                if not deco._flow_cls == cls and not issubclass(cls, deco._flow_cls):
+                    raise MetaflowInternalError(
+                        "FlowMutator registered on the wrong flow -- "
+                        "expected %s but got %s"
+                        % (deco._flow_cls.__name__, cls.__name__)
+                    )
+                debug.userconf_exec(
+                    "Evaluating flow level decorator %s" % deco.__class__.__name__
+                )
+                deco.pre_mutate(mutable_flow)
+                # We reset cached_parameters on the very off chance that the user added
+                # more configurations based on the configuration
+                if _FlowState.CACHED_PARAMETERS in cls._flow_state:
+                    del cls._flow_state[_FlowState.CACHED_PARAMETERS]
+            else:
+                raise MetaflowInternalError(
+                    "A non FlowMutator found in flow custom decorators"
+                )
+
+        for step in cls._steps:
+            for deco in step.config_decorators:
+                if isinstance(deco, StepMutator):
+                    inserted_by_value = [deco.decorator_name] + (deco.inserted_by or [])
+                    debug.userconf_exec(
+                        "Evaluating step level decorator %s for %s"
+                        % (deco.__class__.__name__, step.name)
+                    )
+                    deco.pre_mutate(
+                        MutableStep(
+                            cls,
+                            step,
+                            pre_mutate=True,
+                            statically_defined=deco.statically_defined,
+                            inserted_by=inserted_by_value,
+                        )
+                    )
+                else:
+                    raise MetaflowInternalError(
+                        "A non StepMutator found in step custom decorators"
+                    )
+
+        # Process parameters to allow them to also use config values easily
+        for var, param in cls._get_parameters():
+            if param.IS_CONFIG_PARAMETER:
+                continue
+            param.init()
+
+        # Set the current flow class we are in (the one we just created)
+        parameters.replace_flow_context(cls)
+
+        # Re-calculate class level attributes after modifying the class
+        cls._init_graph()
+        return cls
+
+    def _set_constants(self, graph, kwargs, config_options):
+        from metaflow.decorators import (
+            flow_decorators,
+        )  # To prevent circular dependency
+
+        # Persist values for parameters and other constants (class level variables)
+        # only once. This method is called before persist_constants is called to
+        # persist all values set using setattr
+        self._check_parameters(config_parameters=False)
+
+        seen = set()
         self._success = True
 
         parameters_info = []
         for var, param in self._get_parameters():
             seen.add(var)
-            val = kwargs[param.name.replace("-", "_").lower()]
+            if param.IS_CONFIG_PARAMETER:
+                # Use computed value if already evaluated, else get from config_options
+                val = param._computed_value or config_options.get(
+                    param.name.replace("-", "_").lower()
+                )
+            else:
+                val = kwargs[param.name.replace("-", "_").lower()]
             # Support for delayed evaluation of parameters.
             if isinstance(val, DelayedEvaluationParameter):
                 val = val()
             val = val.split(param.separator) if val and param.separator else val
+            if isinstance(val, ConfigValue):
+                # We store config values as dict so they are accessible with older
+                # metaflow clients. It also makes it easier to access.
+                val = val.to_dict()
             setattr(self, var, val)
             parameters_info.append({"name": var, "type": param.__class__.__name__})
 
@@ -182,25 +414,53 @@ def _set_constants(self, graph, kwargs):
             "decorators": [
                 {
                     "name": deco.name,
-                    "attributes": deco.attributes,
+                    "attributes": to_pod(deco.attributes),
                     "statically_defined": deco.statically_defined,
+                    "inserted_by": deco.inserted_by,
                 }
-                for deco in flow_decorators()
+                for deco in flow_decorators(self)
                 if not deco.name.startswith("_")
+            ]
+            + [
+                {
+                    "name": deco.__class__.__name__,
+                    "attributes": {},
+                    "statically_defined": deco.statically_defined,
+                    "inserted_by": deco.inserted_by,
+                }
+                for deco in self._flow_state.get(_FlowState.FLOW_MUTATORS, [])
             ],
+            "extensions": extension_info(),
         }
         self._graph_info = graph_info
 
-    def _get_parameters(self):
-        for var in dir(self):
-            if var[0] == "_" or var in self._NON_PARAMETERS:
+    @classmethod
+    def _get_parameters(cls):
+        cached = cls._flow_state.get(_FlowState.CACHED_PARAMETERS)
+        returned = set()
+        if cached is not None:
+            for set_config in cls._flow_state.get(_FlowState.SET_CONFIG_PARAMETERS, []):
+                returned.add(set_config[0])
+                yield set_config[0], set_config[1]
+            for var in cached:
+                if var not in returned:
+                    yield var, getattr(cls, var)
+            return
+        build_list = []
+        for set_config in cls._flow_state.get(_FlowState.SET_CONFIG_PARAMETERS, []):
+            returned.add(set_config[0])
+            yield set_config[0], set_config[1]
+        for var in dir(cls):
+            if var[0] == "_" or var in cls._NON_PARAMETERS:
                 continue
             try:
-                val = getattr(self, var)
+                val = getattr(cls, var)
             except:
                 continue
-            if isinstance(val, Parameter):
+            if isinstance(val, Parameter) and var not in returned:
+                build_list.append(var)
                 yield var, val
+        cls._flow_state[_FlowState.CACHED_PARAMETERS] = build_list
 
     def _set_datastore(self, datastore):
         self._datastore = datastore
@@ -317,7 +577,7 @@ def nest_2(self):
 
         Returns
         -------
-        List[Tuple[int, int, object]]
+        List[Tuple[int, int, Any]]
             An array describing the current stack of foreach steps.
         """
         return [
@@ -397,10 +657,10 @@ def merge_artifacts(
         ----------
         inputs : Inputs
             Incoming steps to the join point.
-        exclude : List[str], optional
+        exclude : List[str], optional, default None
             If specified, do not consider merging artifacts with a name in `exclude`.
             Cannot specify if `include` is also specified.
-        include : List[str], optional
+        include : List[str], optional, default None
             If specified, only merge artifacts specified. Cannot specify if `exclude` is
             also specified.
 
@@ -441,7 +701,9 @@ def merge_artifacts(
                 available_vars = (
                     (var, sha)
                     for var, sha in inp._datastore.items()
-                    if (var not in exclude) and (not hasattr(self, var))
+                    if (var not in exclude)
+                    and (not hasattr(self, var))
+                    and (var not in INTERNAL_ARTIFACTS_SET)
                 )
             for var, sha in available_vars:
                 _, previous_sha = to_merge.setdefault(var, (inp, sha))
@@ -499,6 +761,33 @@ def _validate_ubf_step(self, step_name):
             )
             raise InvalidNextException(msg)
 
+    def _get_foreach_item_value(self, item: Any):
+        """
+        Get the unique value for the item in the foreach iterator.  If no suitable value
+        is found, return the value formatted by reprlib, which is at most 30 characters long.
+
+        Parameters
+        ----------
+        item : Any
+            The item to get the value from.
+
+        Returns
+        -------
+        str
+            The value to use for the item.
+        """
+
+        def _is_primitive_type(item):
+            return (
+                isinstance(item, basestring)
+                or isinstance(item, int)
+                or isinstance(item, float)
+                or isinstance(item, bool)
+            )
+
+        value = item if _is_primitive_type(item) else reprlib.Repr().repr(item)
+        return basestring(value)[:MAXIMUM_FOREACH_VALUE_CHARS]
+
     def next(self, *dsts: Callable[..., None], **kwargs) -> None:
         """
         Indicates the next step to execute after this step has completed.
@@ -525,7 +814,7 @@ def next(self, *dsts: Callable[..., None], **kwargs) -> None:
 
         Parameters
         ----------
-        dsts : Method
+        dsts : Callable[..., None]
             One or more methods annotated with `@step`.
 
         Raises
@@ -608,19 +897,26 @@ def next(self, *dsts: Callable[..., None], **kwargs) -> None:
                     )
                 )
                 raise InvalidNextException(msg)
-
+            self._foreach_values = None
             if issubclass(type(foreach_iter), UnboundedForeachInput):
                 self._unbounded_foreach = True
                 self._foreach_num_splits = None
                 self._validate_ubf_step(funcs[0])
             else:
                 try:
-                    self._foreach_num_splits = sum(1 for _ in foreach_iter)
-                except TypeError:
+                    if INCLUDE_FOREACH_STACK:
+                        self._foreach_values = []
+                        for item in foreach_iter:
+                            value = self._get_foreach_item_value(item)
+                            self._foreach_values.append(value)
+                        self._foreach_num_splits = len(self._foreach_values)
+                    else:
+                        self._foreach_num_splits = sum(1 for _ in foreach_iter)
+                except Exception as e:
                     msg = (
                         "Foreach variable *self.{var}* in step *{step}* "
-                        "is not iterable. Check your variable.".format(
-                            step=step, var=foreach
+                        "is not iterable. Please check details: {err}".format(
+                            step=step, var=foreach, err=str(e)
                         )
                     )
                     raise InvalidNextException(msg)
diff --git a/metaflow/graph.py b/metaflow/graph.py
index 4ea41e0114f..025b4a36505 100644
--- a/metaflow/graph.py
+++ b/metaflow/graph.py
@@ -2,6 +2,11 @@
 import ast
 import re
 
+from itertools import chain
+
+
+from .util import to_pod
+
 
 def deindent_docstring(doc):
     if doc:
@@ -42,10 +47,17 @@ def deindent_docstring(doc):
 
 
 class DAGNode(object):
-    def __init__(self, func_ast, decos, doc):
+    def __init__(
+        self, func_ast, decos, wrappers, config_decorators, doc, source_file, lineno
+    ):
         self.name = func_ast.name
-        self.func_lineno = func_ast.lineno
+        self.source_file = source_file
+        # lineno is the start line of decorators in source_file
+        # func_ast.lineno is lines from decorators start to def of function
+        self.func_lineno = lineno + func_ast.lineno - 1
         self.decorators = decos
+        self.wrappers = wrappers
+        self.config_decorators = config_decorators
         self.doc = deindent_docstring(doc)
         self.parallel_step = any(getattr(deco, "IS_PARALLEL", False) for deco in decos)
 
@@ -59,7 +71,7 @@ def __init__(self, func_ast, decos, doc):
         self.foreach_param = None
         self.num_parallel = 0
         self.parallel_foreach = False
-        self._parse(func_ast)
+        self._parse(func_ast, lineno)
 
         # these attributes are populated by _traverse_graph
         self.in_funcs = set()
@@ -71,8 +83,7 @@ def __init__(self, func_ast, decos, doc):
     def _expr_str(self, expr):
         return "%s.%s" % (expr.value.id, expr.attr)
 
-    def _parse(self, func_ast):
-
+    def _parse(self, func_ast, lineno):
         self.num_args = len(func_ast.args.args)
         tail = func_ast.body[-1]
 
@@ -92,7 +103,7 @@ def _parse(self, func_ast):
 
             self.has_tail_next = True
             self.invalid_tail_next = True
-            self.tail_next_lineno = tail.lineno
+            self.tail_next_lineno = lineno + tail.lineno - 1
             self.out_funcs = [e.attr for e in tail.value.args]
 
             keywords = dict(
@@ -129,7 +140,7 @@ def _parse(self, func_ast):
             return
 
     def __str__(self):
-        return """*[{0.name} {0.type} (line {0.func_lineno})]*
+        return """*[{0.name} {0.type} ({0.source_file} line {0.func_lineno})]*
     in_funcs={in_funcs}
     out_funcs={out_funcs}
     split_parents={parents}
@@ -154,34 +165,37 @@ def __str__(self):
         )
 
 
-class StepVisitor(ast.NodeVisitor):
-    def __init__(self, nodes, flow):
-        self.nodes = nodes
-        self.flow = flow
-        super(StepVisitor, self).__init__()
-
-    def visit_FunctionDef(self, node):
-        func = getattr(self.flow, node.name)
-        if hasattr(func, "is_step"):
-            self.nodes[node.name] = DAGNode(node, func.decorators, func.__doc__)
-
-
 class FlowGraph(object):
     def __init__(self, flow):
         self.name = flow.__name__
         self.nodes = self._create_nodes(flow)
         self.doc = deindent_docstring(flow.__doc__)
+        # nodes sorted in topological order.
+        self.sorted_nodes = []
         self._traverse_graph()
         self._postprocess()
 
     def _create_nodes(self, flow):
-        module = __import__(flow.__module__)
-        tree = ast.parse(inspect.getsource(module)).body
-        root = [n for n in tree if isinstance(n, ast.ClassDef) and n.name == self.name][
-            0
-        ]
         nodes = {}
-        StepVisitor(nodes, flow).visit(root)
+        for element in dir(flow):
+            func = getattr(flow, element)
+            if callable(func) and hasattr(func, "is_step"):
+                source_file = inspect.getsourcefile(func)
+                source_lines, lineno = inspect.getsourcelines(func)
+                # This also works for code (strips out leading whitspace based on
+                # first line)
+                source_code = deindent_docstring("".join(source_lines))
+                function_ast = ast.parse(source_code).body[0]
+                node = DAGNode(
+                    function_ast,
+                    func.decorators,
+                    func.wrappers,
+                    func.config_decorators,
+                    func.__doc__,
+                    source_file,
+                    lineno,
+                )
+                nodes[element] = node
         return nodes
 
     def _postprocess(self):
@@ -197,6 +211,11 @@ def _postprocess(self):
 
     def _traverse_graph(self):
         def traverse(node, seen, split_parents):
+            try:
+                self.sorted_nodes.remove(node.name)
+            except ValueError:
+                pass
+            self.sorted_nodes.append(node.name)
             if node.type in ("split", "foreach"):
                 node.split_parents = split_parents
                 split_parents = split_parents + [node.name]
@@ -235,9 +254,7 @@ def __iter__(self):
         return iter(self.nodes.values())
 
     def __str__(self):
-        return "\n".join(
-            str(n) for _, n in sorted((n.func_lineno, n) for n in self.nodes.values())
-        )
+        return "\n".join(str(self[n]) for n in self.sorted_nodes)
 
     def output_dot(self):
         def edge_specs():
@@ -262,7 +279,6 @@ def node_specs():
         )
 
     def output_steps(self):
-
         steps_info = {}
         graph_structure = []
 
@@ -282,15 +298,26 @@ def node_to_dict(name, node):
                 "name": name,
                 "type": node_to_type(node),
                 "line": node.func_lineno,
+                "source_file": node.source_file,
                 "doc": node.doc,
                 "decorators": [
                     {
                         "name": deco.name,
-                        "attributes": deco.attributes,
+                        "attributes": to_pod(deco.attributes),
                         "statically_defined": deco.statically_defined,
+                        "inserted_by": deco.inserted_by,
                     }
                     for deco in node.decorators
                     if not deco.name.startswith("_")
+                ]
+                + [
+                    {
+                        "name": deco.decorator_name,
+                        "attributes": {"_args": deco._args, **deco._kwargs},
+                        "statically_defined": deco.statically_defined,
+                        "inserted_by": deco.inserted_by,
+                    }
+                    for deco in chain(node.wrappers, node.config_decorators)
                 ],
                 "next": node.out_funcs,
             }
diff --git a/metaflow/includefile.py b/metaflow/includefile.py
index 66396c88c8c..c968b70c715 100644
--- a/metaflow/includefile.py
+++ b/metaflow/includefile.py
@@ -1,12 +1,13 @@
 from collections import namedtuple
 import gzip
 
+import importlib
 import io
 import json
 import os
 
 from hashlib import sha1
-from typing import Any, Dict, Optional
+from typing import Any, Callable, Dict, Optional
 
 from metaflow._vendor import click
 
@@ -17,6 +18,9 @@
     Parameter,
     ParameterContext,
 )
+
+from .plugins import DATACLIENTS
+from .user_configs.config_parameters import ConfigValue
 from .util import get_username
 
 import functools
@@ -47,16 +51,7 @@
 
 
 # From here on out, this is the IncludeFile implementation.
-from metaflow.plugins.datatools import Local, S3
-from metaflow.plugins.azure.includefile_support import Azure
-from metaflow.plugins.gcp.includefile_support import GS
-
-DATACLIENTS = {
-    "local": Local,
-    "s3": S3,
-    "azure": Azure,
-    "gs": GS,
-}
+_dict_dataclients = {d.TYPE: d for d in DATACLIENTS}
 
 
 class IncludedFile(object):
@@ -142,12 +137,16 @@ def convert(self, value, param, ctx):
                 parameter_name=param.name,
                 logger=ctx.obj.echo,
                 ds_type=ctx.obj.datastore_impl.TYPE,
+                configs=None,
             )
 
-        if len(value) > 0 and value[0] == "{":
+        if len(value) > 0 and (value.startswith("{") or value.startswith('"{')):
             # This is a blob; no URL starts with `{`. We are thus in scenario A
             try:
                 value = json.loads(value)
+                # to handle quoted json strings
+                if not isinstance(value, dict):
+                    value = json.loads(value)
             except json.JSONDecodeError as e:
                 raise MetaflowException(
                     "IncludeFile '%s' (value: %s) is malformed" % (param.name, value)
@@ -164,7 +163,7 @@ def convert(self, value, param, ctx):
                 "IncludeFile using a direct reference to a file in cloud storage is no "
                 "longer supported. Contact the Metaflow team if you need this supported"
             )
-            # if DATACLIENTS.get(path[:prefix_pos]) is None:
+            # if _dict_dataclients.get(path[:prefix_pos]) is None:
             #     self.fail(
             #         "IncludeFile: no handler for external file of type '%s' "
             #         "(given path is '%s')" % (path[:prefix_pos], path)
@@ -184,7 +183,7 @@ def convert(self, value, param, ctx):
                     pass
             except OSError:
                 self.fail("IncludeFile: could not open file '%s' for reading" % path)
-            handler = DATACLIENTS.get(ctx.ds_type)
+            handler = _dict_dataclients.get(ctx.ds_type)
             if handler is None:
                 self.fail(
                     "IncludeFile: no data-client for datastore of type '%s'"
@@ -210,7 +209,7 @@ def _delayed_eval_func(ctx=lambda_ctx, return_str=False):
                         ctx.path,
                         ctx.is_text,
                         ctx.encoding,
-                        DATACLIENTS[ctx.handler_type],
+                        _dict_dataclients[ctx.handler_type],
                         ctx.echo,
                     )
                 )
@@ -243,32 +242,66 @@ class IncludeFile(Parameter):
     ----------
     name : str
         User-visible parameter name.
-    default : str or a function
+    default : Union[str, Callable[ParameterContext, str]]
         Default path to a local file. A function
         implies that the parameter corresponds to a *deploy-time parameter*.
-    is_text : bool, default: True
+    is_text : bool, optional, default None
         Convert the file contents to a string using the provided `encoding`.
-        If False, the artifact is stored in `bytes`.
-    encoding : str, optional, default: 'utf-8'
-        Use this encoding to decode the file contexts if `is_text=True`.
-    required : bool, default: False
+        If False, the artifact is stored in `bytes`. A value of None is equivalent to
+        True.
+    encoding : str, optional, default None
+        Use this encoding to decode the file contexts if `is_text=True`. A value of None
+        is equivalent to "utf-8".
+    required : bool, optional, default None
         Require that the user specified a value for the parameter.
-        `required=True` implies that the `default` is not used.
+        `required=True` implies that the `default` is not used. A value of None is
+        equivalent to False
     help : str, optional
         Help text to show in `run --help`.
-    show_default : bool, default: True
-        If True, show the default value in the help text.
+    show_default : bool, default True
+        If True, show the default value in the help text. A value of None is equivalent
+        to True.
     """
 
     def __init__(
         self,
         name: str,
-        required: bool = False,
-        is_text: bool = True,
-        encoding: str = "utf-8",
+        required: Optional[bool] = None,
+        is_text: Optional[bool] = None,
+        encoding: Optional[str] = None,
         help: Optional[str] = None,
         **kwargs: Dict[str, str]
     ):
+        self._includefile_overrides = {}
+        if is_text is not None:
+            self._includefile_overrides["is_text"] = is_text
+        if encoding is not None:
+            self._includefile_overrides["encoding"] = encoding
+        # NOTA: Right now, there is an issue where these can't be overridden by config
+        # in all circumstances. Ignoring for now.
+        super(IncludeFile, self).__init__(
+            name,
+            required=required,
+            help=help,
+            type=FilePathClass(
+                self._includefile_overrides.get("is_text", True),
+                self._includefile_overrides.get("encoding", "utf-8"),
+            ),
+            **kwargs,
+        )
+
+    def init(self, ignore_errors=False):
+        super(IncludeFile, self).init(ignore_errors)
+
+        # This will use the values set explicitly in the args if present, else will
+        # use and remove from kwargs else will use True/utf-8
+        is_text = self._includefile_overrides.get(
+            "is_text", self.kwargs.pop("is_text", True)
+        )
+        encoding = self._includefile_overrides.get(
+            "encoding", self.kwargs.pop("encoding", "utf-8")
+        )
+
         # If a default is specified, it needs to be uploaded when the flow is deployed
         # (for example when doing a `step-functions create`) so we make the default
         # be a DeployTimeField. This means that it will be evaluated in two cases:
@@ -278,7 +311,7 @@ def __init__(
         # In the first case, we will need to fully upload the file whereas in the
         # second case, we can just return the string as the FilePath.convert method
         # will take care of evaluating things.
-        v = kwargs.get("default")
+        v = self.kwargs.get("default")
         if v is not None:
             # If the default is a callable, we have two DeployTimeField:
             #  - the callable nature of the default will require us to "call" the default
@@ -291,23 +324,15 @@ def __init__(
             # (call the default)
             if callable(v) and not isinstance(v, DeployTimeField):
                 # If default is a callable, make it a DeployTimeField (the inner one)
-                v = DeployTimeField(name, str, "default", v, return_str=True)
-            kwargs["default"] = DeployTimeField(
-                name,
+                v = DeployTimeField(self.name, str, "default", v, return_str=True)
+            self.kwargs["default"] = DeployTimeField(
+                self.name,
                 str,
                 "default",
                 IncludeFile._eval_default(is_text, encoding, v),
                 print_representation=v,
             )
 
-        super(IncludeFile, self).__init__(
-            name,
-            required=required,
-            help=help,
-            type=FilePathClass(is_text, encoding),
-            **kwargs,
-        )
-
     def load_parameter(self, v):
         if v is None:
             return v
@@ -422,20 +447,19 @@ def _get_handler(url):
         if prefix_pos < 0:
             raise MetaflowException("Malformed URL: '%s'" % url)
         prefix = url[:prefix_pos]
-        handler = DATACLIENTS.get(prefix)
+        handler = _dict_dataclients.get(prefix)
         if handler is None:
             raise MetaflowException("Could not find data client for '%s'" % prefix)
         return handler
 
 
 class UploaderV2:
-
     file_type = "uploader-v2"
 
     @classmethod
     def encode_url(cls, url_type, url, **kwargs):
         return_value = {
-            "note": "Internal representation of IncludeFile(%s)" % url,
+            "note": "Internal representation of IncludeFile",
             "type": cls.file_type,
             "sub-type": url_type,
             "url": url,
@@ -448,7 +472,7 @@ def store(cls, flow_name, path, is_text, encoding, handler, echo):
         r = UploaderV1.store(flow_name, path, is_text, encoding, handler, echo)
 
         # In V2, we store size for faster access
-        r["note"] = "Internal representation of IncludeFile(%s)" % path
+        r["note"] = "Internal representation of IncludeFile"
         r["type"] = cls.file_type
         r["sub-type"] = "uploaded"
         r["size"] = os.stat(path).st_size
diff --git a/metaflow/lint.py b/metaflow/lint.py
index ebcb8e98e24..ecca1605405 100644
--- a/metaflow/lint.py
+++ b/metaflow/lint.py
@@ -52,7 +52,7 @@ def check_reserved_words(graph):
     msg = "Step name *%s* is a reserved word. Choose another name for the " "step."
     for node in graph:
         if node.name in RESERVED:
-            raise LintWarn(msg % node.name)
+            raise LintWarn(msg % node.name, node.func_lineno, node.source_file)
 
 
 @linter.ensure_fundamentals
@@ -76,9 +76,9 @@ def check_that_end_is_end(graph):
     node = graph["end"]
 
     if node.has_tail_next or node.invalid_tail_next:
-        raise LintWarn(msg0, node.tail_next_lineno)
+        raise LintWarn(msg0, node.tail_next_lineno, node.source_file)
     if node.num_args > 1:
-        raise LintWarn(msg1, node.tail_next_lineno)
+        raise LintWarn(msg1, node.tail_next_lineno, node.source_file)
 
 
 @linter.ensure_fundamentals
@@ -90,7 +90,7 @@ def check_step_names(graph):
     )
     for node in graph:
         if re.search("[^a-z0-9_]", node.name) or node.name[0] == "_":
-            raise LintWarn(msg.format(node), node.func_lineno)
+            raise LintWarn(msg.format(node), node.func_lineno, node.source_file)
 
 
 @linter.ensure_fundamentals
@@ -108,11 +108,11 @@ def check_num_args(graph):
     msg2 = "Step *{0.name}* is missing the 'self' argument."
     for node in graph:
         if node.num_args > 2:
-            raise LintWarn(msg0.format(node), node.func_lineno)
+            raise LintWarn(msg0.format(node), node.func_lineno, node.source_file)
         elif node.num_args == 2 and node.type != "join":
-            raise LintWarn(msg1.format(node), node.func_lineno)
+            raise LintWarn(msg1.format(node), node.func_lineno, node.source_file)
         elif node.num_args == 0:
-            raise LintWarn(msg2.format(node), node.func_lineno)
+            raise LintWarn(msg2.format(node), node.func_lineno, node.source_file)
 
 
 @linter.ensure_static_graph
@@ -125,7 +125,7 @@ def check_static_transitions(graph):
     )
     for node in graph:
         if node.type != "end" and not node.has_tail_next:
-            raise LintWarn(msg.format(node), node.func_lineno)
+            raise LintWarn(msg.format(node), node.func_lineno, node.source_file)
 
 
 @linter.ensure_static_graph
@@ -138,7 +138,7 @@ def check_valid_transitions(graph):
     )
     for node in graph:
         if node.type != "end" and node.has_tail_next and node.invalid_tail_next:
-            raise LintWarn(msg.format(node), node.tail_next_lineno)
+            raise LintWarn(msg.format(node), node.tail_next_lineno, node.source_file)
 
 
 @linter.ensure_static_graph
@@ -151,7 +151,11 @@ def check_unknown_transitions(graph):
     for node in graph:
         unknown = [n for n in node.out_funcs if n not in graph]
         if unknown:
-            raise LintWarn(msg.format(node, step=unknown[0]), node.tail_next_lineno)
+            raise LintWarn(
+                msg.format(node, step=unknown[0]),
+                node.tail_next_lineno,
+                node.source_file,
+            )
 
 
 @linter.ensure_acyclicity
@@ -167,7 +171,9 @@ def check_path(node, seen):
         for n in node.out_funcs:
             if n in seen:
                 path = "->".join(seen + [n])
-                raise LintWarn(msg.format(path), node.tail_next_lineno)
+                raise LintWarn(
+                    msg.format(path), node.tail_next_lineno, node.source_file
+                )
             else:
                 check_path(graph[n], seen + [n])
 
@@ -195,7 +201,7 @@ def traverse(node):
     orphans = nodeset - seen
     if orphans:
         orphan = graph[list(orphans)[0]]
-        raise LintWarn(msg.format(orphan), orphan.func_lineno)
+        raise LintWarn(msg.format(orphan), orphan.func_lineno, orphan.source_file)
 
 
 @linter.ensure_static_graph
@@ -230,7 +236,9 @@ def traverse(node, split_stack):
             if split_stack:
                 _, split_roots = split_stack.pop()
                 roots = ", ".join(split_roots)
-                raise LintWarn(msg0.format(roots=roots))
+                raise LintWarn(
+                    msg0.format(roots=roots), node.func_lineno, node.source_file
+                )
         elif node.type == "join":
             if split_stack:
                 _, split_roots = split_stack[-1]
@@ -243,9 +251,10 @@ def traverse(node, split_stack):
                             node, paths=paths, num_roots=len(split_roots), roots=roots
                         ),
                         node.func_lineno,
+                        node.source_file,
                     )
             else:
-                raise LintWarn(msg2.format(node), node.func_lineno)
+                raise LintWarn(msg2.format(node), node.func_lineno, node.source_file)
 
             # check that incoming steps come from the same lineage
             # (no cross joins)
@@ -256,7 +265,7 @@ def parents(n):
                     return tuple(graph[n].split_parents)
 
             if not all_equal(map(parents, node.in_funcs)):
-                raise LintWarn(msg3.format(node), node.func_lineno)
+                raise LintWarn(msg3.format(node), node.func_lineno, node.source_file)
 
         for n in node.out_funcs:
             traverse(graph[n], new_stack)
@@ -276,7 +285,9 @@ def check_empty_foreaches(graph):
         if node.type == "foreach":
             joins = [n for n in node.out_funcs if graph[n].type == "join"]
             if joins:
-                raise LintWarn(msg.format(node, join=joins[0]))
+                raise LintWarn(
+                    msg.format(node, join=joins[0]), node.func_lineno, node.source_file
+                )
 
 
 @linter.ensure_static_graph
@@ -290,7 +301,22 @@ def check_parallel_step_after_next(graph):
         if node.parallel_foreach and not all(
             graph[out_node].parallel_step for out_node in node.out_funcs
         ):
-            raise LintWarn(msg.format(node))
+            raise LintWarn(msg.format(node), node.func_lineno, node.source_file)
+
+
+@linter.ensure_static_graph
+@linter.check
+def check_join_followed_by_parallel_step(graph):
+    msg = (
+        "An @parallel step should be followed by a join step. Step *{0}* is called "
+        "after an @parallel step but is not a join step. Please add an extra `inputs` "
+        "argument to the step."
+    )
+    for node in graph:
+        if node.parallel_step and not graph[node.out_funcs[0]].type == "join":
+            raise LintWarn(
+                msg.format(node.out_funcs[0]), node.func_lineno, node.source_file
+            )
 
 
 @linter.ensure_static_graph
@@ -305,7 +331,9 @@ def check_parallel_foreach_calls_parallel_step(graph):
             for node2 in graph:
                 if node2.out_funcs and node.name in node2.out_funcs:
                     if not node2.parallel_foreach:
-                        raise LintWarn(msg.format(node, node2))
+                        raise LintWarn(
+                            msg.format(node, node2), node.func_lineno, node.source_file
+                        )
 
 
 @linter.ensure_non_nested_foreach
@@ -318,4 +346,4 @@ def check_nested_foreach(graph):
     for node in graph:
         if node.type == "foreach":
             if any(graph[p].type == "foreach" for p in node.split_parents):
-                raise LintWarn(msg.format(node))
+                raise LintWarn(msg.format(node), node.func_lineno, node.source_file)
diff --git a/metaflow/meta_files.py b/metaflow/meta_files.py
new file mode 100644
index 00000000000..2c3d523fc24
--- /dev/null
+++ b/metaflow/meta_files.py
@@ -0,0 +1,13 @@
+_UNINITIALIZED = object()
+_info_file_content = _UNINITIALIZED
+
+
+def read_info_file():
+    # Prevent circular import
+    from .packaging_sys import MetaflowCodeContent
+
+    global _info_file_content
+
+    if id(_info_file_content) == id(_UNINITIALIZED):
+        _info_file_content = MetaflowCodeContent.get_info()
+    return _info_file_content
diff --git a/metaflow/metadata/__init__.py b/metaflow/metadata_provider/__init__.py
similarity index 100%
rename from metaflow/metadata/__init__.py
rename to metaflow/metadata_provider/__init__.py
diff --git a/metaflow/metadata/heartbeat.py b/metaflow/metadata_provider/heartbeat.py
similarity index 70%
rename from metaflow/metadata/heartbeat.py
rename to metaflow/metadata_provider/heartbeat.py
index 7a73c0cf90d..bbe76a0dde2 100644
--- a/metaflow/metadata/heartbeat.py
+++ b/metaflow/metadata_provider/heartbeat.py
@@ -1,11 +1,12 @@
+import json
 import time
+from threading import Thread
+
 import requests
-import json
 
-from threading import Thread
-from metaflow.sidecar import MessageTypes, Message
-from metaflow.metaflow_config import SERVICE_HEADERS
 from metaflow.exception import MetaflowException
+from metaflow.metaflow_config import SERVICE_HEADERS
+from metaflow.sidecar import Message, MessageTypes
 
 HB_URL_KEY = "hb_url"
 
@@ -51,12 +52,29 @@ def _ping(self):
                 time.sleep(frequency_secs)
                 retry_counter = 0
             except HeartBeatException as e:
+                print(e)
                 retry_counter = retry_counter + 1
-                time.sleep(4**retry_counter)
+                time.sleep(1.5**retry_counter)
 
     def _heartbeat(self):
         if self.hb_url is not None:
-            response = requests.post(url=self.hb_url, data="{}", headers=self.headers)
+            try:
+                response = requests.post(
+                    url=self.hb_url, data="{}", headers=self.headers.copy()
+                )
+            except requests.exceptions.ConnectionError as e:
+                raise HeartBeatException(
+                    "HeartBeat request (%s) failed" " (ConnectionError)" % (self.hb_url)
+                )
+            except requests.exceptions.Timeout as e:
+                raise HeartBeatException(
+                    "HeartBeat request (%s) failed" " (Timeout)" % (self.hb_url)
+                )
+            except requests.exceptions.RequestException as e:
+                raise HeartBeatException(
+                    "HeartBeat request (%s) failed"
+                    " (RequestException) %s" % (self.hb_url, str(e))
+                )
             # Unfortunately, response.json() returns a string that we need
             # to cast to json; however when the request encounters an error
             # the return type is a json blob :/
diff --git a/metaflow/metadata/metadata.py b/metaflow/metadata_provider/metadata.py
similarity index 91%
rename from metaflow/metadata/metadata.py
rename to metaflow/metadata_provider/metadata.py
index 70427c3589a..0f88be8c964 100644
--- a/metaflow/metadata/metadata.py
+++ b/metaflow/metadata_provider/metadata.py
@@ -5,6 +5,7 @@
 from collections import namedtuple
 from itertools import chain
 
+from typing import List
 from metaflow.exception import MetaflowInternalError, MetaflowTaggingError
 from metaflow.tagging_util import validate_tag
 from metaflow.util import get_username, resolve_identity_as_tuple, is_stringish
@@ -76,6 +77,12 @@ def type_to_order(obj_type):
 
 @with_metaclass(MetadataProviderMeta)
 class MetadataProvider(object):
+    TYPE = None
+
+    @classmethod
+    def metadata_str(cls):
+        return "%s@%s" % (cls.TYPE, cls.INFO)
+
     @classmethod
     def compute_info(cls, val):
         """
@@ -623,6 +630,20 @@ def _get_system_info_as_dict(self):
             sys_info["r_version"] = env["r_version_code"]
         return sys_info
 
+    def _get_git_info_as_dict(self):
+        git_info = {}
+        env = self._environment.get_environment_info()
+        for key in [
+            "repo_url",
+            "branch_name",
+            "commit_sha",
+            "has_uncommitted_changes",
+        ]:
+            if key in env and env[key]:
+                git_info[key] = env[key]
+
+        return git_info
+
     def _get_system_tags(self):
         """Convert system info dictionary into a list of system tags"""
         return [
@@ -653,19 +674,78 @@ def _register_system_metadata(self, run_id, step_name, task_id, attempt):
         if code_sha:
             code_url = os.environ.get("METAFLOW_CODE_URL")
             code_ds = os.environ.get("METAFLOW_CODE_DS")
+            code_metadata = os.environ.get("METAFLOW_CODE_METADATA")
             metadata.append(
                 MetaDatum(
                     field="code-package",
                     value=json.dumps(
-                        {"ds_type": code_ds, "sha": code_sha, "location": code_url}
+                        {
+                            "ds_type": code_ds,
+                            "sha": code_sha,
+                            "location": code_url,
+                            "metadata": code_metadata,
+                        }
                     ),
                     type="code-package",
                     tags=["attempt_id:{0}".format(attempt)],
                 )
             )
+        # Add script name as metadata
+        script_name = self._environment.get_environment_info()["script"]
+        metadata.append(
+            MetaDatum(
+                field="script-name",
+                value=script_name,
+                type="script-name",
+                tags=["attempt_id:{0}".format(attempt)],
+            )
+        )
+        # And add git metadata
+        git_info = self._get_git_info_as_dict()
+        if git_info:
+            metadata.append(
+                MetaDatum(
+                    field="git-info",
+                    value=json.dumps(git_info),
+                    type="git-info",
+                    tags=["attempt_id:{0}".format(attempt)],
+                )
+            )
         if metadata:
             self.register_metadata(run_id, step_name, task_id, metadata)
 
+    @classmethod
+    def filter_tasks_by_metadata(
+        cls,
+        flow_name: str,
+        run_id: str,
+        step_name: str,
+        field_name: str,
+        pattern: str,
+    ) -> List[str]:
+        """
+        Filter tasks by metadata field and pattern, returning task pathspecs that match criteria.
+
+        Parameters
+        ----------
+        flow_name : str
+            Flow name, that the run belongs to.
+        run_id: str
+            Run id, together with flow_id, that identifies the specific Run whose tasks to query
+        step_name: str
+            Step name to query tasks from
+        field_name: str
+            Metadata field name to query
+        pattern: str
+            Pattern to match in metadata field value
+
+        Returns
+        -------
+        List[str]
+            List of task pathspecs that satisfy the query
+        """
+        raise NotImplementedError()
+
     @staticmethod
     def _apply_filter(elts, filters):
         if filters is None:
diff --git a/metaflow/metadata/util.py b/metaflow/metadata_provider/util.py
similarity index 70%
rename from metaflow/metadata/util.py
rename to metaflow/metadata_provider/util.py
index 705cfb50f52..80edf6b08a6 100644
--- a/metaflow/metadata/util.py
+++ b/metaflow/metadata_provider/util.py
@@ -1,13 +1,30 @@
 from io import BytesIO
 import os
+import shutil
 import tarfile
 
-from distutils.dir_util import copy_tree
-
 from metaflow import util
 from metaflow.plugins.datastores.local_storage import LocalStorage
 
 
+def copy_tree(src, dst, update=False):
+    if not os.path.exists(dst):
+        os.makedirs(dst)
+    for item in os.listdir(src):
+        s = os.path.join(src, item)
+        d = os.path.join(dst, item)
+        if os.path.isdir(s):
+            copy_tree(s, d, update)
+        else:
+            if (
+                update
+                and os.path.exists(d)
+                and os.path.getmtime(s) <= os.path.getmtime(d)
+            ):
+                continue
+            shutil.copy2(s, d)
+
+
 def sync_local_metadata_to_datastore(metadata_local_dir, task_ds):
     with util.TempDir() as td:
         tar_file_path = os.path.join(td, "metadata.tgz")
diff --git a/metaflow/metaflow_config.py b/metaflow/metaflow_config.py
index bb8c3cab62b..fd9e0e817d9 100644
--- a/metaflow/metaflow_config.py
+++ b/metaflow/metaflow_config.py
@@ -1,10 +1,7 @@
-import logging
 import os
 import sys
 import types
 
-import pkg_resources
-
 from metaflow.exception import MetaflowException
 from metaflow.metaflow_config_funcs import from_conf, get_validate_choice_fn
 
@@ -18,6 +15,16 @@
 ## value, either set `METAFLOW_DEFAULT_DATASTORE` in your configuration file or set
 ## an environment variable called `METAFLOW_DEFAULT_DATASTORE`
 
+##
+# Constants (NOTE: these need to live before any from_conf)
+##
+
+# Path to the local directory to store artifacts for 'local' datastore.
+DATASTORE_LOCAL_DIR = ".metaflow"
+
+# Local configuration file (in .metaflow) containing overrides per-project
+LOCAL_CONFIG_FILE = "config.json"
+
 ###
 # Default configuration
 ###
@@ -29,14 +36,26 @@
 DEFAULT_MONITOR = from_conf("DEFAULT_MONITOR", "nullSidecarMonitor")
 DEFAULT_PACKAGE_SUFFIXES = from_conf("DEFAULT_PACKAGE_SUFFIXES", ".py,.R,.RDS")
 DEFAULT_AWS_CLIENT_PROVIDER = from_conf("DEFAULT_AWS_CLIENT_PROVIDER", "boto3")
+DEFAULT_AZURE_CLIENT_PROVIDER = from_conf(
+    "DEFAULT_AZURE_CLIENT_PROVIDER", "azure-default"
+)
+DEFAULT_GCP_CLIENT_PROVIDER = from_conf("DEFAULT_GCP_CLIENT_PROVIDER", "gcp-default")
 DEFAULT_SECRETS_BACKEND_TYPE = from_conf("DEFAULT_SECRETS_BACKEND_TYPE")
+DEFAULT_SECRETS_ROLE = from_conf("DEFAULT_SECRETS_ROLE")
+
+DEFAULT_FROM_DEPLOYMENT_IMPL = from_conf(
+    "DEFAULT_FROM_DEPLOYMENT_IMPL", "argo-workflows"
+)
+
+###
+# User configuration
+###
+USER = from_conf("USER")
 
 
 ###
 # Datastore configuration
 ###
-# Path to the local directory to store artifacts for 'local' datastore.
-DATASTORE_LOCAL_DIR = ".metaflow"
 DATASTORE_SYSROOT_LOCAL = from_conf("DATASTORE_SYSROOT_LOCAL")
 # S3 bucket and prefix to store artifacts for 's3' datastore.
 DATASTORE_SYSROOT_S3 = from_conf("DATASTORE_SYSROOT_S3")
@@ -69,12 +88,18 @@
 S3_ENDPOINT_URL = from_conf("S3_ENDPOINT_URL")
 S3_VERIFY_CERTIFICATE = from_conf("S3_VERIFY_CERTIFICATE")
 
+# Set ServerSideEncryption for S3 uploads
+S3_SERVER_SIDE_ENCRYPTION = from_conf("S3_SERVER_SIDE_ENCRYPTION")
+
 # S3 retry configuration
 # This is useful if you want to "fail fast" on S3 operations; use with caution
 # though as this may increase failures. Note that this is the number of *retries*
 # so setting it to 0 means each operation will be tried once.
 S3_RETRY_COUNT = from_conf("S3_RETRY_COUNT", 7)
 
+# Number of concurrent S3 processes for parallel operations.
+S3_WORKER_COUNT = from_conf("S3_WORKER_COUNT", 64)
+
 # Number of retries on *transient* failures (such as SlowDown errors). Note
 # that if after S3_TRANSIENT_RETRY_COUNT times, all operations haven't been done,
 # it will try up to S3_RETRY_COUNT again so the total number of tries can be up to
@@ -84,6 +109,12 @@
 # top-level retries)
 S3_TRANSIENT_RETRY_COUNT = from_conf("S3_TRANSIENT_RETRY_COUNT", 20)
 
+# S3 retry configuration used in the aws client
+# Use the adaptive retry strategy by default
+S3_CLIENT_RETRY_CONFIG = from_conf(
+    "S3_CLIENT_RETRY_CONFIG", {"max_attempts": 10, "mode": "adaptive"}
+)
+
 # Threshold to start printing warnings for an AWS retry
 RETRY_WARNING_THRESHOLD = 3
 
@@ -91,9 +122,11 @@
 DATATOOLS_SUFFIX = from_conf("DATATOOLS_SUFFIX", "data")
 DATATOOLS_S3ROOT = from_conf(
     "DATATOOLS_S3ROOT",
-    os.path.join(DATASTORE_SYSROOT_S3, DATATOOLS_SUFFIX)
-    if DATASTORE_SYSROOT_S3
-    else None,
+    (
+        os.path.join(DATASTORE_SYSROOT_S3, DATATOOLS_SUFFIX)
+        if DATASTORE_SYSROOT_S3
+        else None
+    ),
 )
 
 TEMPDIR = from_conf("TEMPDIR", ".")
@@ -111,30 +144,52 @@
 # Similar to DATATOOLS_LOCALROOT, this is used ONLY by the IncludeFile's internal implementation.
 DATATOOLS_AZUREROOT = from_conf(
     "DATATOOLS_AZUREROOT",
-    os.path.join(DATASTORE_SYSROOT_AZURE, DATATOOLS_SUFFIX)
-    if DATASTORE_SYSROOT_AZURE
-    else None,
+    (
+        os.path.join(DATASTORE_SYSROOT_AZURE, DATATOOLS_SUFFIX)
+        if DATASTORE_SYSROOT_AZURE
+        else None
+    ),
 )
 # GS datatools root location
 # Note: we do not expose an actual datatools library for GS (like we do for S3)
 # Similar to DATATOOLS_LOCALROOT, this is used ONLY by the IncludeFile's internal implementation.
 DATATOOLS_GSROOT = from_conf(
     "DATATOOLS_GSROOT",
-    os.path.join(DATASTORE_SYSROOT_GS, DATATOOLS_SUFFIX)
-    if DATASTORE_SYSROOT_GS
-    else None,
+    (
+        os.path.join(DATASTORE_SYSROOT_GS, DATATOOLS_SUFFIX)
+        if DATASTORE_SYSROOT_GS
+        else None
+    ),
 )
 # Local datatools root location
 DATATOOLS_LOCALROOT = from_conf(
     "DATATOOLS_LOCALROOT",
-    os.path.join(DATASTORE_SYSROOT_LOCAL, DATATOOLS_SUFFIX)
-    if DATASTORE_SYSROOT_LOCAL
-    else None,
+    (
+        os.path.join(DATASTORE_SYSROOT_LOCAL, DATATOOLS_SUFFIX)
+        if DATASTORE_SYSROOT_LOCAL
+        else None
+    ),
 )
 
 # Secrets Backend - AWS Secrets Manager configuration
 AWS_SECRETS_MANAGER_DEFAULT_REGION = from_conf("AWS_SECRETS_MANAGER_DEFAULT_REGION")
 
+# Secrets Backend - GCP Secrets name prefix. With this, users don't have
+# to specify the full secret name in the @secret decorator.
+#
+# Note that it makes a difference whether the prefix ends with a slash or not
+# E.g. if secret name passed to @secret decorator is mysecret:
+# - "projects/1234567890/secrets/" -> "projects/1234567890/secrets/mysecret"
+# - "projects/1234567890/secrets/foo-" -> "projects/1234567890/secrets/foo-mysecret"
+GCP_SECRET_MANAGER_PREFIX = from_conf("GCP_SECRET_MANAGER_PREFIX")
+
+# Secrets Backend - Azure Key Vault prefix. With this, users don't have to
+# specify the full https:// vault url in the @secret decorator.
+#
+# It does not make a difference if the prefix ends in a / or not. We will handle either
+# case correctly.
+AZURE_KEY_VAULT_PREFIX = from_conf("AZURE_KEY_VAULT_PREFIX")
+
 # The root directory to save artifact pulls in, when using S3 or Azure
 ARTIFACT_LOCALROOT = from_conf("ARTIFACT_LOCALROOT", os.getcwd())
 
@@ -147,9 +202,11 @@
 )
 CARD_AZUREROOT = from_conf(
     "CARD_AZUREROOT",
-    os.path.join(DATASTORE_SYSROOT_AZURE, CARD_SUFFIX)
-    if DATASTORE_SYSROOT_AZURE
-    else None,
+    (
+        os.path.join(DATASTORE_SYSROOT_AZURE, CARD_SUFFIX)
+        if DATASTORE_SYSROOT_AZURE
+        else None
+    ),
 )
 CARD_GSROOT = from_conf(
     "CARD_GSROOT",
@@ -157,7 +214,7 @@
 )
 CARD_NO_WARNING = from_conf("CARD_NO_WARNING", False)
 
-SKIP_CARD_DUALWRITE = from_conf("SKIP_CARD_DUALWRITE", False)
+RUNTIME_CARD_RENDER_INTERVAL = from_conf("RUNTIME_CARD_RENDER_INTERVAL", 60)
 
 # Azure storage account URL
 AZURE_STORAGE_BLOB_SERVICE_ENDPOINT = from_conf("AZURE_STORAGE_BLOB_SERVICE_ENDPOINT")
@@ -194,12 +251,23 @@
 DEFAULT_CONTAINER_IMAGE = from_conf("DEFAULT_CONTAINER_IMAGE")
 # Default container registry
 DEFAULT_CONTAINER_REGISTRY = from_conf("DEFAULT_CONTAINER_REGISTRY")
+# Controls whether to include foreach stack information in metadata.
+INCLUDE_FOREACH_STACK = from_conf("INCLUDE_FOREACH_STACK", True)
+# Maximum length of the foreach value string to be stored in each ForeachFrame.
+MAXIMUM_FOREACH_VALUE_CHARS = from_conf("MAXIMUM_FOREACH_VALUE_CHARS", 30)
+# The default runtime limit (In seconds) of jobs launched by any compute provider. Default of 5 days.
+DEFAULT_RUNTIME_LIMIT = from_conf("DEFAULT_RUNTIME_LIMIT", 5 * 24 * 60 * 60)
 
 ###
 # Organization customizations
 ###
 UI_URL = from_conf("UI_URL")
 
+###
+# Capture error logs from argo
+###
+ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT = from_conf("ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT")
+
 # Contact information displayed when running the `metaflow` command.
 # Value should be a dictionary where:
 #  - key is a string describing contact method
@@ -214,6 +282,14 @@
     },
 )
 
+
+###
+# Decorators
+###
+# Format is a space separated string of decospecs (what is passed
+# using --with)
+DEFAULT_DECOSPECS = from_conf("DEFAULT_DECOSPECS", "")
+
 ###
 # AWS Batch configuration
 ###
@@ -257,7 +333,15 @@
 # machine execution logs. This needs to be available when using the
 # `step-functions create --log-execution-history` command.
 SFN_EXECUTION_LOG_GROUP_ARN = from_conf("SFN_EXECUTION_LOG_GROUP_ARN")
-
+# Amazon S3 path for storing the results of AWS Step Functions Distributed Map
+SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH = from_conf(
+    "SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH",
+    (
+        os.path.join(DATASTORE_SYSROOT_S3, "sfn_distributed_map_output")
+        if DATASTORE_SYSROOT_S3
+        else None
+    ),
+)
 ###
 # Kubernetes configuration
 ###
@@ -268,23 +352,49 @@
 # Default node selectors to use by K8S jobs created by Metaflow - foo=bar,baz=bab
 KUBERNETES_NODE_SELECTOR = from_conf("KUBERNETES_NODE_SELECTOR", "")
 KUBERNETES_TOLERATIONS = from_conf("KUBERNETES_TOLERATIONS", "")
+KUBERNETES_PERSISTENT_VOLUME_CLAIMS = from_conf(
+    "KUBERNETES_PERSISTENT_VOLUME_CLAIMS", ""
+)
 KUBERNETES_SECRETS = from_conf("KUBERNETES_SECRETS", "")
+# Default labels for kubernetes pods
+KUBERNETES_LABELS = from_conf("KUBERNETES_LABELS", "")
+# Default annotations for kubernetes pods
+KUBERNETES_ANNOTATIONS = from_conf("KUBERNETES_ANNOTATIONS", "")
 # Default GPU vendor to use by K8S jobs created by Metaflow (supports nvidia, amd)
 KUBERNETES_GPU_VENDOR = from_conf("KUBERNETES_GPU_VENDOR", "nvidia")
 # Default container image for K8S
 KUBERNETES_CONTAINER_IMAGE = from_conf(
     "KUBERNETES_CONTAINER_IMAGE", DEFAULT_CONTAINER_IMAGE
 )
+# Image pull policy for container images
+KUBERNETES_IMAGE_PULL_POLICY = from_conf("KUBERNETES_IMAGE_PULL_POLICY", None)
+# Image pull secrets for container images
+KUBERNETES_IMAGE_PULL_SECRETS = from_conf("KUBERNETES_IMAGE_PULL_SECRETS", "")
 # Default container registry for K8S
 KUBERNETES_CONTAINER_REGISTRY = from_conf(
     "KUBERNETES_CONTAINER_REGISTRY", DEFAULT_CONTAINER_REGISTRY
 )
 # Toggle for trying to fetch EC2 instance metadata
 KUBERNETES_FETCH_EC2_METADATA = from_conf("KUBERNETES_FETCH_EC2_METADATA", False)
-
+# Shared memory in MB to use for this step
+KUBERNETES_SHARED_MEMORY = from_conf("KUBERNETES_SHARED_MEMORY", None)
+# Default port number to open on the pods
+KUBERNETES_PORT = from_conf("KUBERNETES_PORT", None)
+# Default kubernetes resource requests for CPU, memory and disk
+KUBERNETES_CPU = from_conf("KUBERNETES_CPU", None)
+KUBERNETES_MEMORY = from_conf("KUBERNETES_MEMORY", None)
+KUBERNETES_DISK = from_conf("KUBERNETES_DISK", None)
+# Default kubernetes QoS class
+KUBERNETES_QOS = from_conf("KUBERNETES_QOS", "burstable")
+
+# Architecture of kubernetes nodes - used for @conda/@pypi in metaflow-dev
+KUBERNETES_CONDA_ARCH = from_conf("KUBERNETES_CONDA_ARCH")
 ARGO_WORKFLOWS_KUBERNETES_SECRETS = from_conf("ARGO_WORKFLOWS_KUBERNETES_SECRETS", "")
 ARGO_WORKFLOWS_ENV_VARS_TO_SKIP = from_conf("ARGO_WORKFLOWS_ENV_VARS_TO_SKIP", "")
 
+KUBERNETES_JOBSET_GROUP = from_conf("KUBERNETES_JOBSET_GROUP", "jobset.x-k8s.io")
+KUBERNETES_JOBSET_VERSION = from_conf("KUBERNETES_JOBSET_VERSION", "v1alpha2")
+
 ##
 # Argo Events Configuration
 ##
@@ -293,7 +403,12 @@
 ARGO_EVENTS_EVENT_SOURCE = from_conf("ARGO_EVENTS_EVENT_SOURCE")
 ARGO_EVENTS_EVENT = from_conf("ARGO_EVENTS_EVENT")
 ARGO_EVENTS_WEBHOOK_URL = from_conf("ARGO_EVENTS_WEBHOOK_URL")
+ARGO_EVENTS_INTERNAL_WEBHOOK_URL = from_conf(
+    "ARGO_EVENTS_INTERNAL_WEBHOOK_URL", ARGO_EVENTS_WEBHOOK_URL
+)
+ARGO_EVENTS_WEBHOOK_AUTH = from_conf("ARGO_EVENTS_WEBHOOK_AUTH", "none")
 
+ARGO_WORKFLOWS_UI_URL = from_conf("ARGO_WORKFLOWS_UI_URL")
 
 ##
 # Airflow Configuration
@@ -325,13 +440,35 @@
 # should result in an appreciable speedup in flow environment initialization.
 CONDA_DEPENDENCY_RESOLVER = from_conf("CONDA_DEPENDENCY_RESOLVER", "conda")
 
+# Default to not using fast init binary.
+CONDA_USE_FAST_INIT = from_conf("CONDA_USE_FAST_INIT", False)
+
+###
+# Escape hatch configuration
+###
+# Print out warning if escape hatch is not used for the target packages
+ESCAPE_HATCH_WARNING = from_conf("ESCAPE_HATCH_WARNING", True)
+
+###
+# Features
+###
+FEAT_ALWAYS_UPLOAD_CODE_PACKAGE = from_conf("FEAT_ALWAYS_UPLOAD_CODE_PACKAGE", False)
 ###
 # Debug configuration
 ###
-DEBUG_OPTIONS = ["subcommand", "sidecar", "s3client"]
+DEBUG_OPTIONS = [
+    "subcommand",
+    "sidecar",
+    "s3client",
+    "tracing",
+    "stubgen",
+    "userconf",
+    "conda",
+    "package",
+]
 
 for typ in DEBUG_OPTIONS:
-    vars()["DEBUG_%s" % typ.upper()] = from_conf("DEBUG_%s" % typ.upper())
+    vars()["DEBUG_%s" % typ.upper()] = from_conf("DEBUG_%s" % typ.upper(), False)
 
 ###
 # Plugin configuration
@@ -378,6 +515,12 @@
 
 KUBERNETES_SANDBOX_INIT_SCRIPT = from_conf("KUBERNETES_SANDBOX_INIT_SCRIPT")
 
+OTEL_ENDPOINT = from_conf("OTEL_ENDPOINT")
+ZIPKIN_ENDPOINT = from_conf("ZIPKIN_ENDPOINT")
+CONSOLE_TRACE_ENABLED = from_conf("CONSOLE_TRACE_ENABLED", False)
+# internal env used for preventing the tracing module from loading during Conda bootstrapping.
+DISABLE_TRACING = bool(os.environ.get("DISABLE_TRACING", False))
+
 # MAX_ATTEMPTS is the maximum number of attempts, including the first
 # task, retries, and the final fallback task and its retries.
 #
@@ -390,23 +533,10 @@
 # lexicographic ordering of attempts. This won't work if MAX_ATTEMPTS > 99.
 MAX_ATTEMPTS = 6
 
+# Feature flag (experimental features that are *explicitly* unsupported)
 
-# the naughty, naughty driver.py imported by lib2to3 produces
-# spam messages to the root logger. This is what is required
-# to silence it:
-class Filter(logging.Filter):
-    def filter(self, record):
-        if record.pathname.endswith("driver.py") and "grammar" in record.msg:
-            return False
-        return True
-
-
-logger = logging.getLogger()
-logger.addFilter(Filter())
-
-
-def get_version(pkg):
-    return pkg_resources.get_distribution(pkg).version
+# Process configs even when using the click_api for Runner/Deployer
+CLICK_API_PROCESS_CONFIG = from_conf("CLICK_API_PROCESS_CONFIG", False)
 
 
 # PINNED_CONDA_LIBS are the libraries that metaflow depends on for execution
@@ -420,9 +550,13 @@ def get_pinned_conda_libs(python_version, datastore_type):
     elif datastore_type == "azure":
         pins["azure-identity"] = ">=1.10.0"
         pins["azure-storage-blob"] = ">=12.12.0"
+        pins["azure-keyvault-secrets"] = ">=4.7.0"
+        pins["simple-azure-blob-downloader"] = ">=0.1.0"
     elif datastore_type == "gs":
         pins["google-cloud-storage"] = ">=2.5.0"
         pins["google-auth"] = ">=2.11.0"
+        pins["google-cloud-secret-manager"] = ">=2.10.0"
+        pins["simple-gcp-object-downloader"] = ">=0.1.0"
     elif datastore_type == "local":
         pass
     else:
@@ -436,6 +570,8 @@ def get_pinned_conda_libs(python_version, datastore_type):
 try:
     from metaflow.extension_support import get_modules
 
+    _TOGGLE_DECOSPECS = []
+
     ext_modules = get_modules("config")
     for m in ext_modules:
         # We load into globals whatever we have in extension_module
@@ -445,7 +581,7 @@ def get_pinned_conda_libs(python_version, datastore_type):
                 DEBUG_OPTIONS.extend(o)
                 for typ in o:
                     vars()["DEBUG_%s" % typ.upper()] = from_conf(
-                        "DEBUG_%s" % typ.upper()
+                        "DEBUG_%s" % typ.upper(), False
                     )
             elif n == "get_pinned_conda_libs":
 
@@ -459,8 +595,18 @@ def _new_get_pinned_conda_libs(
                     return d1
 
                 globals()[n] = _new_get_pinned_conda_libs
+            elif n == "TOGGLE_DECOSPECS":
+                if any([x.startswith("-") for x in o]):
+                    raise ValueError("Removing decospecs is not currently supported")
+                if any(" " in x for x in o):
+                    raise ValueError("Decospecs cannot contain spaces")
+                _TOGGLE_DECOSPECS.extend(o)
             elif not n.startswith("__") and not isinstance(o, types.ModuleType):
                 globals()[n] = o
+    # If DEFAULT_DECOSPECS is set, use that, else extrapolate from extensions
+    if not DEFAULT_DECOSPECS:
+        DEFAULT_DECOSPECS = " ".join(_TOGGLE_DECOSPECS)
+
 finally:
     # Erase all temporary names to avoid leaking things
     for _n in [
@@ -477,6 +623,7 @@ def _new_get_pinned_conda_libs(
         "v",
         "f1",
         "f2",
+        "_TOGGLE_DECOSPECS",
     ]:
         try:
             del globals()[_n]
diff --git a/metaflow/metaflow_config_funcs.py b/metaflow/metaflow_config_funcs.py
index 365a18d75eb..863d6f1bc6d 100644
--- a/metaflow/metaflow_config_funcs.py
+++ b/metaflow/metaflow_config_funcs.py
@@ -32,8 +32,40 @@ def init_config():
     return config
 
 
+def init_local_config():
+    # This function is heavily inspired from LocalStorage.get_datastore_root_from_config
+    # but simplifies certain things and also does not depend on DATASTORE_SYSROOT_LOCAL.
+    #
+    # In other words, since this config is meant to be local to a directory, it does not
+    # check in DATASTORE_SYSROOT_LOCAL but only up the current getcwd() path. This also
+    # prevents nasty circular dependencies :)
+
+    from metaflow.metaflow_config import DATASTORE_LOCAL_DIR, LOCAL_CONFIG_FILE
+
+    current_path = os.getcwd()
+    check_dir = os.path.join(current_path, DATASTORE_LOCAL_DIR)
+    check_dir = os.path.realpath(check_dir)
+    while not os.path.isdir(check_dir):
+        new_path = os.path.dirname(current_path)
+        if new_path == current_path:  # No longer making upward progress
+            return {}
+        current_path = new_path
+        check_dir = os.path.join(current_path, DATASTORE_LOCAL_DIR)
+    path_to_config = os.path.join(check_dir, LOCAL_CONFIG_FILE)
+    # We found a directory to look for the config file in
+    if os.path.exists(path_to_config):
+        with open(path_to_config, encoding="utf-8") as f:
+            return json.load(f)
+    return {}
+
+
 # Initialize defaults required to setup environment variables.
-METAFLOW_CONFIG = init_config()
+# (initialized lazily in from_conf since init_local_config requires
+# some configuration values
+
+METAFLOW_CONFIG = None
+
+METAFLOW_LOCAL_CONFIG = None
 
 _all_configs = {}
 
@@ -51,7 +83,13 @@ def config_values(include=0):
 
 def from_conf(name, default=None, validate_fn=None):
     """
-    First try to pull value from environment, then from metaflow config JSON
+    Pull value from the environment or configuration.
+    Order is:
+    1. Environment (use any environment variable explicitly set by user)
+    2. Local config (use any value set in the local config file -- so stuff in
+       .metaflow/project.json for example)
+    3. Global config (use any value set in the global config file)
+    4. Default
 
     Prior to a value being returned, we will validate using validate_fn (if provided).
     Only non-None values are validated.
@@ -59,9 +97,19 @@ def from_conf(name, default=None, validate_fn=None):
     validate_fn should accept (name, value).
     If the value validates, return None, else raise an MetaflowException.
     """
-    env_name = "METAFLOW_%s" % name
+    global METAFLOW_CONFIG, METAFLOW_LOCAL_CONFIG
+
+    if METAFLOW_CONFIG is None:
+        METAFLOW_CONFIG = init_config()
+    if METAFLOW_LOCAL_CONFIG is None:
+        METAFLOW_LOCAL_CONFIG = init_local_config()
+
     is_default = True
-    value = os.environ.get(env_name, METAFLOW_CONFIG.get(env_name, default))
+    env_name = "METAFLOW_%s" % name
+    value = os.environ.get(
+        env_name,
+        METAFLOW_LOCAL_CONFIG.get(env_name, METAFLOW_CONFIG.get(env_name, default)),
+    )
     if validate_fn and value is not None:
         validate_fn(env_name, value)
     if default is not None:
@@ -79,6 +127,12 @@ def from_conf(name, default=None, validate_fn=None):
                     raise ValueError(
                         "Expected a valid JSON for %s, got: %s" % (env_name, value)
                     )
+                if type(value) != type(default):
+                    raise ValueError(
+                        "Expected value of type '%s' for %s, got: %s"
+                        % (type(default), env_name, value)
+                    )
+                is_default = value == default
             _all_configs[env_name] = ConfigValue(
                 value=value,
                 serializer=json.dumps,
@@ -87,8 +141,12 @@ def from_conf(name, default=None, validate_fn=None):
             return value
         elif isinstance(default, (bool, int, float)) or is_stringish(default):
             try:
-                value = type(default)(value)
-                # Here we can compare values
+                if type(value) != type(default):
+                    if isinstance(default, bool):
+                        # Env vars are strings so try to evaluate logically
+                        value = value.lower() not in ("0", "false", "")
+                    else:
+                        value = type(default)(value)
                 is_default = value == default
             except ValueError:
                 raise ValueError(
@@ -98,6 +156,8 @@ def from_conf(name, default=None, validate_fn=None):
             raise RuntimeError(
                 "Default of type %s for %s is not supported" % (type(default), env_name)
             )
+    else:
+        is_default = value is None
     _all_configs[env_name] = ConfigValue(
         value=value,
         serializer=str,
diff --git a/metaflow/current.py b/metaflow/metaflow_current.py
similarity index 91%
rename from metaflow/current.py
rename to metaflow/metaflow_current.py
index a4b959bdee3..8443c1d75ab 100644
--- a/metaflow/current.py
+++ b/metaflow/metaflow_current.py
@@ -1,14 +1,15 @@
 from collections import namedtuple
 import os
-from typing import Any, Optional
+from typing import Any, Optional, TYPE_CHECKING
 
 from metaflow.metaflow_config import TEMPDIR
 
-Parallel = namedtuple("Parallel", ["main_ip", "num_nodes", "node_index"])
+Parallel = namedtuple(
+    "Parallel", ["main_ip", "num_nodes", "node_index", "control_task_id"]
+)
 
-# Can add this if we are ok with 3.5.2+
-# if typing.TYPE_CHECKING:
-#     from metaflow.client.core import Run, Task
+if TYPE_CHECKING:
+    import metaflow
 
 
 class Current(object):
@@ -29,7 +30,7 @@ def _raise(ex):
             raise ex
 
         self.__class__.graph = property(
-            fget=lambda _: _raise(RuntimeError("Graph is not available"))
+            fget=lambda self: _raise(RuntimeError("Graph is not available"))
         )
 
     def _set_env(
@@ -199,7 +200,7 @@ def pathspec(self) -> Optional[str]:
         return "/".join(pathspec_components)
 
     @property
-    def task(self) -> Optional["Task"]:
+    def task(self) -> Optional["metaflow.Task"]:
         """
         Task object of the current task.
 
@@ -221,7 +222,7 @@ def task(self) -> Optional["Task"]:
         return Task("/".join(pathspec_components), _namespace_check=False)
 
     @property
-    def run(self) -> Optional["Run"]:
+    def run(self) -> Optional["metaflow.Run"]:
         """
         Run object of the current run.
 
@@ -261,14 +262,6 @@ def username(self) -> Optional[str]:
         """
         return self._username
 
-    @property
-    def parallel(self):
-        return Parallel(
-            main_ip=os.environ.get("MF_PARALLEL_MAIN_IP", "127.0.0.1"),
-            num_nodes=int(os.environ.get("MF_PARALLEL_NUM_NODES", "1")),
-            node_index=int(os.environ.get("MF_PARALLEL_NODE_INDEX", "0")),
-        )
-
     @property
     def tags(self):
         """
diff --git a/metaflow/metaflow_environment.py b/metaflow/metaflow_environment.py
index 57fc6e094f0..d0f4dc7d0dc 100644
--- a/metaflow/metaflow_environment.py
+++ b/metaflow/metaflow_environment.py
@@ -1,15 +1,17 @@
+import json
 import os
 import platform
 import sys
 
 from .util import get_username
 from . import metaflow_version
+from . import metaflow_git
 from metaflow.exception import MetaflowException
 from metaflow.extension_support import dump_module_info
-from metaflow.mflog import BASH_MFLOG
-from . import R
+from metaflow.mflog import BASH_MFLOG, BASH_FLUSH_LOGS
+from metaflow.package import MetaflowPackage
 
-version_cache = None
+from . import R
 
 
 class InvalidEnvironmentException(MetaflowException):
@@ -50,8 +52,36 @@ def bootstrap_commands(self, step_name, datastore_type):
 
     def add_to_package(self):
         """
-        A list of tuples (file, arcname) to add to the job package.
-        `arcname` is an alternative name for the file in the job package.
+        Called to add custom files needed for this environment. This hook will be
+        called in the `MetaflowPackage` class where metaflow compiles the code package
+        tarball. This hook can return one of two things (the first is for backwards
+        compatibility -- move to the second):
+          - a generator yielding a tuple of `(file_path, arcname)` to add files to
+            the code package. `file_path` is the path to the file on the local filesystem
+            and `arcname` is the path relative to the packaged code.
+          - a generator yielding a tuple of `(content, arcname, type)` where:
+            - type is one of
+            ContentType.{USER_CONTENT, CODE_CONTENT, MODULE_CONTENT, OTHER_CONTENT}
+            - for USER_CONTENT:
+              - the file will be included relative to the directory containing the
+                user's flow file.
+              - content: path to the file to include
+              - arcname: path relative to the directory containing the user's flow file
+            - for CODE_CONTENT:
+              - the file will be included relative to the code directory in the package.
+                This will be the directory containing `metaflow`.
+              - content: path to the file to include
+              - arcname: path relative to the code directory in the package
+            - for MODULE_CONTENT:
+              - the module will be added to the code package as a python module. It will
+                be accessible as usual (import )
+              - content: name of the module
+              - arcname: None (ignored)
+            - for OTHER_CONTENT:
+              - the file will be included relative to any other configuration/metadata
+                files for the flow
+              - content: path to the file to include
+              - arcname: path relative to the config directory in the package
         """
         return []
 
@@ -89,10 +119,18 @@ def _get_download_code_package_cmd(self, code_package_url, datastore_type):
         It should work silently if everything goes well.
         """
         if datastore_type == "s3":
-            return (
-                '%s -m awscli ${METAFLOW_S3_ENDPOINT_URL:+--endpoint-url=\\"${METAFLOW_S3_ENDPOINT_URL}\\"} '
-                + "s3 cp %s job.tar >/dev/null"
-            ) % (self._python(), code_package_url)
+            from .plugins.aws.aws_utils import parse_s3_full_path
+
+            bucket, s3_object = parse_s3_full_path(code_package_url)
+            # NOTE: the script quoting is extremely sensitive due to the way shlex.split operates and this being inserted
+            # into a quoted command elsewhere.
+            # NOTE: Reason for the extra conditionals in the script are because
+            # Boto3 does not play well with passing None or an empty string to endpoint_url
+            return "{python} -c '{script}'".format(
+                python=self._python(),
+                script='import boto3, os; ep=os.getenv(\\"METAFLOW_S3_ENDPOINT_URL\\"); boto3.client(\\"s3\\", **({\\"endpoint_url\\":ep} if ep else {})).download_file(\\"%s\\", \\"%s\\", \\"job.tar\\")'
+                % (bucket, s3_object),
+            )
         elif datastore_type == "azure":
             from .plugins.azure.azure_utils import parse_azure_full_path
 
@@ -119,54 +157,89 @@ def _get_download_code_package_cmd(self, code_package_url, datastore_type):
             )
 
     def _get_install_dependencies_cmd(self, datastore_type):
-        cmds = ["%s -m pip install requests -qqq" % self._python()]
-        if datastore_type == "s3":
-            cmds.append("%s -m pip install awscli boto3 -qqq" % self._python())
-        elif datastore_type == "azure":
-            cmds.append(
-                "%s -m pip install azure-identity azure-storage-blob simple-azure-blob-downloader -qqq"
-                % self._python()
+        base_cmd = "{} -m pip install -qqq --no-compile --no-cache-dir --disable-pip-version-check".format(
+            self._python()
+        )
+
+        datastore_packages = {
+            "s3": ["boto3"],
+            "azure": [
+                "azure-identity",
+                "azure-storage-blob",
+                "azure-keyvault-secrets",
+                "simple-azure-blob-downloader",
+            ],
+            "gs": [
+                "google-cloud-storage",
+                "google-auth",
+                "simple-gcp-object-downloader",
+                "google-cloud-secret-manager",
+            ],
+        }
+
+        if datastore_type not in datastore_packages:
+            raise NotImplementedError(
+                "Unknown datastore type: {}".format(datastore_type)
             )
-        elif datastore_type == "gs":
-            cmds.append(
-                "%s -m pip install google-cloud-storage google-auth simple-gcp-object-downloader -qqq"
-                % self._python()
+
+        cmd = "{} {}".format(
+            base_cmd, " ".join(datastore_packages[datastore_type] + ["requests"])
+        )
+        # skip pip installs if we know that packages might already be available
+        return "if [ -z $METAFLOW_SKIP_INSTALL_DEPENDENCIES ]; then {}; fi".format(cmd)
+
+    def get_package_commands(
+        self, code_package_url, datastore_type, code_package_metadata=None
+    ):
+        # HACK: We want to keep forward compatibility with compute layers so that
+        # they can still call get_package_commands and NOT pass any metadata. If
+        # there is no additional information, we *assume* that it is the default
+        # used.
+        if code_package_metadata is None:
+            code_package_metadata = json.dumps(
+                {
+                    "version": 0,
+                    "archive_format": "tgz",
+                    "mfcontent_version": 1,
+                }
             )
-        else:
-            raise NotImplementedError(
-                "We don't know how to generate an install dependencies cmd for datastore %s"
-                % datastore_type
+        cmds = (
+            [
+                BASH_MFLOG,
+                BASH_FLUSH_LOGS,
+                "mflog 'Setting up task environment.'",
+                self._get_install_dependencies_cmd(datastore_type),
+                "mkdir metaflow",
+                "cd metaflow",
+                "mkdir .metaflow",  # mute local datastore creation log
+                "i=0; while [ $i -le 5 ]; do "
+                "mflog 'Downloading code package...'; "
+                + self._get_download_code_package_cmd(code_package_url, datastore_type)
+                + " && mflog 'Code package downloaded.' && break; "
+                "sleep 10; i=$((i+1)); "
+                "done",
+                "if [ $i -gt 5 ]; then "
+                "mflog 'Failed to download code package from %s "
+                "after 6 tries. Exiting...' && exit 1; "
+                "fi" % code_package_url,
+            ]
+            + MetaflowPackage.get_extract_commands(
+                code_package_metadata, "job.tar", dest_dir="."
             )
-        return " && ".join(cmds)
-
-    def get_package_commands(self, code_package_url, datastore_type):
-        cmds = [
-            BASH_MFLOG,
-            "mflog 'Setting up task environment.'",
-            self._get_install_dependencies_cmd(datastore_type),
-            "mkdir metaflow",
-            "cd metaflow",
-            "mkdir .metaflow",  # mute local datastore creation log
-            "i=0; while [ $i -le 5 ]; do "
-            "mflog 'Downloading code package...'; "
-            + self._get_download_code_package_cmd(code_package_url, datastore_type)
-            + " && mflog 'Code package downloaded.' && break; "
-            "sleep 10; i=$((i+1)); "
-            "done",
-            "if [ $i -gt 5 ]; then "
-            "mflog 'Failed to download code package from %s "
-            "after 6 tries. Exiting...' && exit 1; "
-            "fi" % code_package_url,
-            "TAR_OPTIONS='--warning=no-timestamp' tar xf job.tar",
-            "mflog 'Task is starting.'",
-        ]
+            + [
+                "export %s=%s:$(printenv %s)" % (k, v.replace('"', '\\"'), k)
+                for k, v in MetaflowPackage.get_post_extract_env_vars(
+                    code_package_metadata, dest_dir="."
+                ).items()
+            ]
+            + [
+                "mflog 'Task is starting.'",
+                "flush_mflogs",
+            ]
+        )
         return cmds
 
     def get_environment_info(self, include_ext_info=False):
-        global version_cache
-        if version_cache is None:
-            version_cache = metaflow_version.get_version()
-
         # note that this dict goes into the code package
         # so variables here should be relatively stable (no
         # timestamps) so the hash won't change all the time
@@ -180,8 +253,12 @@ def get_environment_info(self, include_ext_info=False):
             "use_r": R.use_r(),
             "python_version": sys.version,
             "python_version_code": "%d.%d.%d" % sys.version_info[:3],
-            "metaflow_version": version_cache,
+            "metaflow_version": metaflow_version.get_version(),
             "script": os.path.basename(os.path.abspath(sys.argv[0])),
+            # Add git info
+            **metaflow_git.get_repository_info(
+                path=os.path.dirname(os.path.abspath(sys.argv[0]))
+            ),
         }
         if R.use_r():
             env["metaflow_r_version"] = R.metaflow_r_version()
@@ -191,9 +268,11 @@ def get_environment_info(self, include_ext_info=False):
             # Information about extension modules (to load them in the proper order)
             ext_key, ext_val = dump_module_info()
             env[ext_key] = ext_val
-        return env
+        return {k: v for k, v in env.items() if v is not None and v != ""}
 
-    def executable(self, step_name):
+    def executable(self, step_name, default=None):
+        if default is not None:
+            return default
         return self._python()
 
     def _python(self):
diff --git a/metaflow/metaflow_git.py b/metaflow/metaflow_git.py
new file mode 100644
index 00000000000..b90a2edb9b6
--- /dev/null
+++ b/metaflow/metaflow_git.py
@@ -0,0 +1,115 @@
+#!/usr/bin/env python
+"""Get git repository information for the package
+
+Functions to retrieve git repository details like URL, branch name, 
+and commit SHA for Metaflow code provenance tracking.
+"""
+
+import os
+import subprocess
+from typing import Dict, List, Optional, Tuple, Union
+
+# Cache for git information to avoid repeated subprocess calls
+_git_info_cache = None
+
+__all__ = ("get_repository_info",)
+
+
+def _call_git(
+    args: List[str], path=Union[str, os.PathLike]
+) -> Tuple[Optional[str], Optional[int], bool]:
+    """
+    Call git with provided args.
+
+    Returns
+    -------
+        tuple : Tuple containing
+            (stdout, exitcode, failure) of the call
+    """
+    try:
+        result = subprocess.run(
+            ["git", *args],
+            cwd=path,
+            capture_output=True,
+            text=True,
+            check=False,
+        )
+        return result.stdout.strip(), result.returncode, False
+    except (OSError, subprocess.SubprocessError):
+        # Covers subprocess timeouts and other errors which would not lead to an exit code
+        return None, None, True
+
+
+def _get_repo_url(path: Union[str, os.PathLike]) -> Optional[str]:
+    """Get the repository URL from git config"""
+    stdout, returncode, _failed = _call_git(
+        ["config", "--get", "remote.origin.url"], path
+    )
+    if returncode == 0:
+        url = stdout
+        # Convert SSH URLs to HTTPS for clickable links
+        if url.startswith("git@"):
+            parts = url.split(":", 1)
+            if len(parts) == 2:
+                domain = parts[0].replace("git@", "")
+                repo_path = parts[1]
+                url = f"https://{domain}/{repo_path}"
+        return url
+    return None
+
+
+def _get_branch_name(path: Union[str, os.PathLike]) -> Optional[str]:
+    """Get the current git branch name"""
+    stdout, returncode, _failed = _call_git(["rev-parse", "--abbrev-ref", "HEAD"], path)
+    return stdout if returncode == 0 else None
+
+
+def _get_commit_sha(path: Union[str, os.PathLike]) -> Optional[str]:
+    """Get the current git commit SHA"""
+    stdout, returncode, _failed = _call_git(["rev-parse", "HEAD"], path)
+    return stdout if returncode == 0 else None
+
+
+def _is_in_git_repo(path: Union[str, os.PathLike]) -> bool:
+    """Check if we're currently in a git repository"""
+    stdout, returncode, _failed = _call_git(
+        ["rev-parse", "--is-inside-work-tree"], path
+    )
+    return returncode == 0 and stdout == "true"
+
+
+def _has_uncommitted_changes(path: Union[str, os.PathLike]) -> Optional[bool]:
+    """Check if the git repository has uncommitted changes"""
+    _stdout, returncode, failed = _call_git(
+        ["diff-index", "--quiet", "HEAD", "--"], path
+    )
+    if failed:
+        return None
+    return returncode != 0
+
+
+def get_repository_info(path: Union[str, os.PathLike]) -> Dict[str, Union[str, bool]]:
+    """Get git repository information for a path
+
+    Returns:
+        dict: Dictionary containing:
+            repo_url: Repository URL (converted to HTTPS if from SSH)
+            branch_name: Current branch name
+            commit_sha: Current commit SHA
+            has_uncommitted_changes: Boolean indicating if there are uncommitted changes
+    """
+    global _git_info_cache
+
+    if _git_info_cache is not None:
+        return _git_info_cache
+
+    _git_info_cache = {}
+    if _is_in_git_repo(path):
+        _git_info_cache = {
+            "repo_url": _get_repo_url(path),
+            "branch_name": _get_branch_name(path),
+            "commit_sha": _get_commit_sha(path),
+            "has_uncommitted_changes": _has_uncommitted_changes(path),
+        }
+
+    return _git_info_cache
diff --git a/metaflow/metaflow_version.py b/metaflow/metaflow_version.py
index 9a36dc79ae0..90badf33657 100644
--- a/metaflow/metaflow_version.py
+++ b/metaflow/metaflow_version.py
@@ -7,11 +7,15 @@
 
 # This file is adapted from https://github.com/aebrahim/python-git-version
 
-from subprocess import check_output, CalledProcessError
-from os import path, name, devnull, environ, listdir
-import json
+import subprocess
+from os import path, name, environ, listdir
 
-from metaflow import CURRENT_DIRECTORY, INFO_FILE
+from metaflow.extension_support import update_package_info
+from metaflow.meta_files import read_info_file
+
+
+# True/False correspond to the value `public`` in get_version
+_version_cache = {True: None, False: None}
 
 __all__ = ("get_version",)
 
@@ -23,11 +27,11 @@ def find_git_on_windows():
         """find the path to the git executable on Windows"""
         # first see if git is in the path
         try:
-            check_output(["where", "/Q", "git"])
+            subprocess.check_output(["where", "/Q", "git"])
             # if this command succeeded, git is in the path
             return "git"
         # catch the exception thrown if git was not found
-        except CalledProcessError:
+        except subprocess.CalledProcessError:
             pass
         # There are several locations where git.exe may be hiding
         possible_locations = []
@@ -57,87 +61,152 @@ def find_git_on_windows():
     GIT_COMMAND = find_git_on_windows()
 
 
-def call_git_describe(abbrev=7):
+def call_git_describe(file_to_check, abbrev=7):
     """return the string output of git describe"""
     try:
-
-        # first, make sure we are actually in a Metaflow repo,
-        # not some other repo
-        with open(devnull, "w") as fnull:
-            arguments = [GIT_COMMAND, "rev-parse", "--show-toplevel"]
-            reponame = (
-                check_output(arguments, cwd=CURRENT_DIRECTORY, stderr=fnull)
-                .decode("ascii")
-                .strip()
-            )
-            if path.basename(reponame) != "metaflow":
-                return None
-
-        with open(devnull, "w") as fnull:
-            arguments = [GIT_COMMAND, "describe", "--tags", "--abbrev=%d" % abbrev]
-            return (
-                check_output(arguments, cwd=CURRENT_DIRECTORY, stderr=fnull)
-                .decode("ascii")
-                .strip()
-            )
-
-    except (OSError, CalledProcessError):
+        wd = path.dirname(file_to_check)
+        filename = path.basename(file_to_check)
+
+        # First check if the file is tracked in the GIT repository we are in
+        # We do this because in some setups and for some bizarre reason, python files
+        # are installed directly into a git repository (I am looking at you brew). We
+        # don't want to consider this a GIT install in that case.
+        args = [GIT_COMMAND, "ls-files", "--error-unmatch", filename]
+        git_return_code = subprocess.run(
+            args,
+            cwd=wd,
+            stderr=subprocess.DEVNULL,
+            stdout=subprocess.DEVNULL,
+            check=False,
+        ).returncode
+
+        if git_return_code != 0:
+            return None
+
+        args = [
+            GIT_COMMAND,
+            "describe",
+            "--tags",
+            "--dirty",
+            "--long",
+            "--abbrev=%d" % abbrev,
+        ]
+        return (
+            subprocess.check_output(args, cwd=wd, stderr=subprocess.DEVNULL)
+            .decode("ascii")
+            .strip()
+        )
+
+    except (OSError, subprocess.CalledProcessError):
         return None
 
 
-def format_git_describe(git_str, pep440=False):
+def format_git_describe(git_str, public=False):
     """format the result of calling 'git describe' as a python version"""
     if git_str is None:
         return None
-    if "-" not in git_str:  # currently at a tag
-        return git_str
+    splits = git_str.split("-")
+    if len(splits) == 4:
+        # Formatted as ---dirty
+        tag, post, h = splits[:3]
+        dirty = "-" + splits[3]
     else:
-        # formatted as version-N-githash
-        # want to convert to version.postN-githash
-        git_str = git_str.replace("-", ".post", 1)
-        if pep440:  # does not allow git hash afterwards
-            return git_str.split("-")[0]
-        else:
-            return git_str.replace("-g", "+git")
+        # Formatted as --
+        tag, post, h = splits
+        dirty = ""
+    if post == "0":
+        if public:
+            return tag
+        return tag + dirty
+
+    if public:
+        return "%s.post%s" % (tag, post)
+
+    return "%s.post%s-git%s%s" % (tag, post, h[1:], dirty)
 
 
 def read_info_version():
     """Read version information from INFO file"""
-    try:
-        with open(INFO_FILE, "r") as contents:
-            return json.load(contents).get("metaflow_version")
-    except IOError:
-        return None
+    info_file = read_info_file()
+    if info_file:
+        return info_file.get("metaflow_version")
+    return None
 
 
-def get_version(pep440=False):
+def get_version(public=False):
     """Tracks the version number.
 
-    pep440: bool
-        When True, this function returns a version string suitable for
-        a release as defined by PEP 440. When False, the githash (if
-        available) will be appended to the version string.
+    public: bool
+        When True, this function returns a *public* version specification which
+        doesn't include any local information (dirtiness or hash). See
+        https://packaging.python.org/en/latest/specifications/version-specifiers/#version-scheme
 
-    If the script is located within an active git repository,
-    git-describe is used to get the version information.
+    We first check the INFO file to see if we recorded a version of Metaflow. If there
+    is none, we check if we are in a GIT repository and if so, form the version
+    from that.
 
-    Otherwise, the version logged by package installer is returned.
-
-    If even that information isn't available (likely when executing on a
-    remote cloud instance), the version information is returned from INFO file
-    in the current directory.
+    Otherwise, we return the version of Metaflow that was installed.
 
     """
 
-    version = format_git_describe(call_git_describe(), pep440=pep440)
-    version_addl = None
-    if version is None:  # not a git repository
-        import metaflow
-
+    global _version_cache
+
+    # To get the version we do the following:
+    #  - Check if we have a cached version. If so, return that
+    #  - Then check if we have an INFO file present. If so, use that as it is
+    #    the most reliable way to get the version. In particular, when running remotely,
+    #    metaflow is installed in a directory and if any extension is using distutils to
+    #    determine its version, this would return None and querying the version directly
+    #    from the extension would fail to produce the correct result
+    #  - Then if we are in the GIT repository and if so, use the git describe
+    #  - If we don't have an INFO file, we look at the version information that is
+    #    populated by metaflow and the extensions.
+
+    if _version_cache[public] is not None:
+        return _version_cache[public]
+
+    version = (
+        read_info_version()
+    )  # Version info is cached in INFO file; includes extension info
+
+    if version:
+        _version_cache[public] = version
+        return version
+
+    # Get the version for Metaflow, favor the GIT version
+    import metaflow
+
+    version = format_git_describe(
+        call_git_describe(file_to_check=metaflow.__file__), public=public
+    )
+    if version is None:
         version = metaflow.__version__
-        version_addl = metaflow.__version_addl__
-    if version is None:  # not a proper python package
-        return read_info_version()
-    if version_addl:
-        return "+".join([version, version_addl])
+
+    # Look for extensions and compute their versions. Properly formed extensions have
+    # a toplevel file which will contain a __mf_extensions__ value and a __version__
+    # value. We already saved the properly formed modules when loading metaflow in
+    # __ext_tl_modules__.
+    ext_versions = []
+    for pkg_name, extension_module in metaflow.__ext_tl_modules__:
+        ext_name = getattr(extension_module, "__mf_extensions__", "")
+        ext_version = format_git_describe(
+            call_git_describe(file_to_check=extension_module.__file__), public=public
+        )
+        if ext_version is None:
+            ext_version = getattr(extension_module, "__version__", "")
+        # Update the package information about reported version for the extension
+        # (only for the full info which is called at least once -- if we update more
+        # it will error out since we can only update_package_info once)
+        if not public:
+            update_package_info(
+                package_name=pkg_name,
+                extension_name=ext_name,
+                package_version=ext_version,
+            )
+        ext_versions.append("%s(%s)" % (ext_name, ext_version))
+
+    # We now have all the information about extensions so we can form the final string
+    if ext_versions:
+        version = version + "+" + ";".join(ext_versions)
+    _version_cache[public] = version
     return version
diff --git a/metaflow/mflog/__init__.py b/metaflow/mflog/__init__.py
index 400fcaf11ba..586268b6dd0 100644
--- a/metaflow/mflog/__init__.py
+++ b/metaflow/mflog/__init__.py
@@ -44,6 +44,8 @@
 BASH_SAVE_LOGS_ARGS = ["python", "-m", "metaflow.mflog.save_logs"]
 BASH_SAVE_LOGS = " ".join(BASH_SAVE_LOGS_ARGS)
 
+BASH_FLUSH_LOGS = "flush_mflogs(){ " f"{BASH_SAVE_LOGS}; " "}"
+
 
 # this function returns a bash expression that redirects stdout
 # and stderr of the given bash expression to mflog.tee
@@ -63,7 +65,7 @@ def bash_capture_logs(bash_expr, var_transform=None):
 # update_delay determines how often logs should be uploaded to S3
 # as a function of the task execution time
 
-MIN_UPDATE_DELAY = 1.0  # the most frequent update interval
+MIN_UPDATE_DELAY = 0.25  # the most frequent update interval
 MAX_UPDATE_DELAY = 30.0  # the least frequent update interval
 
 
@@ -110,7 +112,6 @@ def export_mflog_env_vars(
 
 def tail_logs(prefix, stdout_tail, stderr_tail, echo, has_log_updates):
     def _available_logs(tail, stream, echo, should_persist=False):
-        # print the latest batch of lines
         try:
             for line in tail:
                 if should_persist:
@@ -128,7 +129,7 @@ def _available_logs(tail, stream, echo, should_persist=False):
 
     start_time = time.time()
     next_log_update = start_time
-    log_update_delay = 1
+    log_update_delay = update_delay(0)
     while has_log_updates():
         if time.time() > next_log_update:
             _available_logs(stdout_tail, "stdout", echo)
diff --git a/metaflow/mflog/mflog.py b/metaflow/mflog/mflog.py
index fd04cb768ba..0330cd63134 100644
--- a/metaflow/mflog/mflog.py
+++ b/metaflow/mflog/mflog.py
@@ -135,7 +135,13 @@ def line_iter(logblob):
                 missing.append(line)
         for line in missing:
             res = MFLogline(
-                False, None, MISSING_TIMESTAMP_STR, None, None, line, MISSING_TIMESTAMP
+                False,
+                None,
+                MISSING_TIMESTAMP_STR.encode("utf-8"),
+                None,
+                None,
+                line,
+                MISSING_TIMESTAMP,
             )
             yield res.utc_tstamp_str, res
 
diff --git a/metaflow/mflog/save_logs.py b/metaflow/mflog/save_logs.py
index ea7ca673288..beedfcb2a11 100644
--- a/metaflow/mflog/save_logs.py
+++ b/metaflow/mflog/save_logs.py
@@ -8,9 +8,12 @@
 from metaflow.util import Path
 from . import TASK_LOG_SOURCE
 
+from metaflow.tracing import cli
+
 SMALL_FILE_LIMIT = 1024 * 1024
 
 
+@cli("save_logs")
 def save_logs():
     def _read_file(path):
         with open(path, "rb") as f:
diff --git a/metaflow/multicore_utils.py b/metaflow/multicore_utils.py
index 1ac81039c12..165f9837e94 100644
--- a/metaflow/multicore_utils.py
+++ b/metaflow/multicore_utils.py
@@ -2,8 +2,22 @@
 import os
 import traceback
 from itertools import islice
-from multiprocessing import cpu_count
 from tempfile import NamedTemporaryFile
+import time
+import metaflow.tracing as tracing
+
+from typing import (
+    Any,
+    Callable,
+    Iterable,
+    Iterator,
+    List,
+    Optional,
+    NoReturn,
+    Tuple,
+    TypeVar,
+    Union,
+)
 
 try:
     # Python 2
@@ -27,7 +41,13 @@ class MulticoreException(Exception):
     pass
 
 
-def _spawn(func, arg, dir):
+_A = TypeVar("_A")
+_R = TypeVar("_R")
+
+
+def _spawn(
+    func: Callable[[_A], _R], arg: _A, dir: Optional[str]
+) -> Union[Tuple[int, str], NoReturn]:
     with NamedTemporaryFile(prefix="parallel_map_", dir=dir, delete=False) as tmpfile:
         output_file = tmpfile.name
 
@@ -39,37 +59,73 @@ def _spawn(func, arg, dir):
     if pid:
         return pid, output_file
     else:
-        try:
-            exit_code = 1
-            ret = func(arg)
-            with open(output_file, "wb") as f:
-                pickle.dump(ret, f, protocol=pickle.HIGHEST_PROTOCOL)
-            exit_code = 0
-        except:
-            # we must not let any exceptions escape this function
-            # which might trigger unintended side effects
-            traceback.print_exc()
-        finally:
-            sys.stderr.flush()
-            sys.stdout.flush()
-            # we can't use sys.exit(0) here since it raises SystemExit
-            # that may have unintended side effects (e.g. triggering
-            # finally blocks).
-            os._exit(exit_code)
-
-
-def parallel_imap_unordered(func, iterable, max_parallel=None, dir=None):
-
+        with tracing.post_fork():
+            try:
+                exit_code = 1
+                ret = func(arg)
+                with open(output_file, "wb") as f:
+                    pickle.dump(ret, f, protocol=pickle.HIGHEST_PROTOCOL)
+                exit_code = 0
+            except:
+                # we must not let any exceptions escape this function
+                # which might trigger unintended side-effects
+                traceback.print_exc()
+            finally:
+                sys.stderr.flush()
+                sys.stdout.flush()
+                # we can't use sys.exit(0) here since it raises SystemExit
+                # that may have unintended side-effects (e.g. triggering
+                # finally blocks).
+                os._exit(exit_code)
+
+
+def parallel_imap_unordered(
+    func: Callable[[_A], _R],
+    iterable: Iterable[_A],
+    max_parallel: Optional[int] = None,
+    dir: Optional[str] = None,
+) -> Iterator[_R]:
+    """
+    Parallelizes execution of a function using multiprocessing. The result
+    order is not guaranteed.
+
+    Parameters
+    ----------
+    func : Callable[[Any], Any]
+        Function taking a single argument and returning a result
+    iterable : Iterable[Any]
+        Iterable over arguments to pass to fun
+    max_parallel int, optional, default None
+        Maximum parallelism. If not specified, it uses the number of CPUs
+    dir : str, optional, default None
+        If specified, it's the directory where temporary files are created
+
+    Yields
+    ------
+    Any
+        One result from calling func on one argument
+    """
     if max_parallel is None:
+        # Lazy import to save on startup time for metaflow as a whole
+        from multiprocessing import cpu_count
+
         max_parallel = cpu_count()
 
     args_iter = iter(iterable)
     pids = [_spawn(func, arg, dir) for arg in islice(args_iter, max_parallel)]
 
     while pids:
-
-        pid, output_file = pids.pop()
-        if os.waitpid(pid, 0)[1]:
+        for idx, pid_info in enumerate(pids):
+            pid, output_file = pid_info
+            pid, exit_code = os.waitpid(pid, os.WNOHANG)
+            if pid:
+                pids.pop(idx)
+                break
+        else:
+            time.sleep(0.1)  # Wait a bit before re-checking
+            continue
+
+        if exit_code:
             raise MulticoreException("Child failed")
 
         with open(output_file, "rb") as f:
@@ -81,10 +137,39 @@ def parallel_imap_unordered(func, iterable, max_parallel=None, dir=None):
             pids.insert(0, _spawn(func, arg[0], dir))
 
 
-def parallel_map(func, iterable, **kwargs):
+def parallel_map(
+    func: Callable[[_A], _R],
+    iterable: Iterable[_A],
+    max_parallel: Optional[int] = None,
+    dir: Optional[str] = None,
+) -> List[_R]:
+    """
+    Parallelizes execution of a function using multiprocessing. The result
+    order is that of the arguments in `iterable`.
+
+    Parameters
+    ----------
+    func : Callable[[Any], Any]
+        Function taking a single argument and returning a result
+    iterable : Iterable[Any]
+        Iterable over arguments to pass to fun
+    max_parallel int, optional, default None
+        Maximum parallelism. If not specified, it uses the number of CPUs
+    dir : str, optional, default None
+        If specified, it's the directory where temporary files are created
+
+    Returns
+    -------
+    List[Any]
+        Results. The items in the list are in the same order as the items
+        in `iterable`.
+    """
+
     def wrapper(arg_with_idx):
         idx, arg = arg_with_idx
         return idx, func(arg)
 
-    res = parallel_imap_unordered(wrapper, enumerate(iterable), **kwargs)
-    return [r for idx, r in sorted(res)]
+    res = parallel_imap_unordered(
+        wrapper, enumerate(iterable), max_parallel=max_parallel, dir=dir
+    )
+    return [r for _, r in sorted(res)]
diff --git a/metaflow/package.py b/metaflow/package.py
deleted file mode 100644
index fe1fd4f1edf..00000000000
--- a/metaflow/package.py
+++ /dev/null
@@ -1,184 +0,0 @@
-import importlib
-import os
-import sys
-import tarfile
-import time
-import json
-from io import BytesIO
-
-from .extension_support import EXT_PKG, package_mfext_all
-from .metaflow_config import DEFAULT_PACKAGE_SUFFIXES
-from .exception import MetaflowException
-from .util import to_unicode
-from . import R, INFO_FILE
-
-DEFAULT_SUFFIXES_LIST = DEFAULT_PACKAGE_SUFFIXES.split(",")
-METAFLOW_SUFFIXES_LIST = [".py", ".html", ".css", ".js"]
-
-
-class NonUniqueFileNameToFilePathMappingException(MetaflowException):
-    headline = "Non Unique file path for a file name included in code package"
-
-    def __init__(self, filename, file_paths, lineno=None):
-        msg = (
-            "Filename %s included in the code package includes multiple different paths for the same name : %s.\n"
-            "The `filename` in the `add_to_package` decorator hook requires a unique `file_path` to `file_name` mapping"
-            % (filename, ", ".join(file_paths))
-        )
-        super().__init__(msg=msg, lineno=lineno)
-
-
-# this is os.walk(follow_symlinks=True) with cycle detection
-def walk_without_cycles(top_root):
-    seen = set()
-
-    def _recurse(root):
-        for parent, dirs, files in os.walk(root):
-            for d in dirs:
-                path = os.path.join(parent, d)
-                if os.path.islink(path):
-                    # Breaking loops: never follow the same symlink twice
-                    #
-                    # NOTE: this also means that links to sibling links are
-                    # not followed. In this case:
-                    #
-                    #   x -> y
-                    #   y -> oo
-                    #   oo/real_file
-                    #
-                    # real_file is only included twice, not three times
-                    reallink = os.path.realpath(path)
-                    if reallink not in seen:
-                        seen.add(reallink)
-                        for x in _recurse(path):
-                            yield x
-            yield parent, files
-
-    for x in _recurse(top_root):
-        yield x
-
-
-class MetaflowPackage(object):
-    def __init__(self, flow, environment, echo, suffixes=DEFAULT_SUFFIXES_LIST):
-        self.suffixes = list(set().union(suffixes, DEFAULT_SUFFIXES_LIST))
-        self.environment = environment
-        self.metaflow_root = os.path.dirname(__file__)
-
-        self.flow_name = flow.name
-        self._flow = flow
-        self.create_time = time.time()
-        environment.init_environment(echo)
-        for step in flow:
-            for deco in step.decorators:
-                deco.package_init(flow, step.__name__, environment)
-        self.blob = self._make()
-
-    def _walk(self, root, exclude_hidden=True, suffixes=None):
-        if suffixes is None:
-            suffixes = []
-        root = to_unicode(root)  # handle files/folder with non ascii chars
-        prefixlen = len("%s/" % os.path.dirname(root))
-        for (
-            path,
-            files,
-        ) in walk_without_cycles(root):
-            if exclude_hidden and "/." in path:
-                continue
-            # path = path[2:] # strip the ./ prefix
-            # if path and (path[0] == '.' or './' in path):
-            #    continue
-            for fname in files:
-                if fname[0] == ".":
-                    continue
-                if any(fname.endswith(suffix) for suffix in suffixes):
-                    p = os.path.join(path, fname)
-                    yield p, p[prefixlen:]
-
-    def path_tuples(self):
-        """
-        Returns list of (path, arcname) to be added to the job package, where
-        `arcname` is the alternative name for the file in the package.
-        """
-        # We want the following contents in the tarball
-        # Metaflow package itself
-        for path_tuple in self._walk(
-            self.metaflow_root, exclude_hidden=False, suffixes=METAFLOW_SUFFIXES_LIST
-        ):
-            yield path_tuple
-
-        # Metaflow extensions; for now, we package *all* extensions but this may change
-        # at a later date; it is possible to call `package_mfext_package` instead of
-        # `package_mfext_all` but in that case, make sure to also add a
-        # metaflow_extensions/__init__.py file to properly "close" the metaflow_extensions
-        # package and prevent other extensions from being loaded that may be
-        # present in the rest of the system
-        for path_tuple in package_mfext_all():
-            yield path_tuple
-
-        # Any custom packages exposed via decorators
-        deco_module_paths = {}
-        for step in self._flow:
-            for deco in step.decorators:
-                for path_tuple in deco.add_to_package():
-                    file_path, file_name = path_tuple
-                    # Check if the path is not duplicated as
-                    # many steps can have the same packages being imported
-                    if file_name not in deco_module_paths:
-                        deco_module_paths[file_name] = file_path
-                        yield path_tuple
-                    elif deco_module_paths[file_name] != file_path:
-                        raise NonUniqueFileNameToFilePathMappingException(
-                            file_name, [deco_module_paths[file_name], file_path]
-                        )
-
-        # the package folders for environment
-        for path_tuple in self.environment.add_to_package():
-            yield path_tuple
-        if R.use_r():
-            # the R working directory
-            for path_tuple in self._walk(
-                "%s/" % R.working_dir(), suffixes=self.suffixes
-            ):
-                yield path_tuple
-            # the R package
-            for path_tuple in R.package_paths():
-                yield path_tuple
-        else:
-            # the user's working directory
-            flowdir = os.path.dirname(os.path.abspath(sys.argv[0])) + "/"
-            for path_tuple in self._walk(flowdir, suffixes=self.suffixes):
-                yield path_tuple
-
-    def _add_info(self, tar):
-        info = tarfile.TarInfo(os.path.basename(INFO_FILE))
-        env = self.environment.get_environment_info(include_ext_info=True)
-        buf = BytesIO()
-        buf.write(json.dumps(env).encode("utf-8"))
-        buf.seek(0)
-        info.size = len(buf.getvalue())
-        tar.addfile(info, buf)
-
-    def _make(self):
-        def no_mtime(tarinfo):
-            # a modification time change should not change the hash of
-            # the package. Only content modifications will.
-            tarinfo.mtime = 0
-            return tarinfo
-
-        buf = BytesIO()
-        with tarfile.open(
-            fileobj=buf, mode="w:gz", compresslevel=3, dereference=True
-        ) as tar:
-            self._add_info(tar)
-            for path, arcname in self.path_tuples():
-                tar.add(path, arcname=arcname, recursive=False, filter=no_mtime)
-
-        blob = bytearray(buf.getvalue())
-        blob[4:8] = [0] * 4  # Reset 4 bytes from offset 4 to account for ts
-        return blob
-
-    def __str__(self):
-        return "" % (
-            self.flow_name,
-            time.strftime("%a, %d %b %Y %H:%M:%S", self.create_time),
-        )
diff --git a/metaflow/package/__init__.py b/metaflow/package/__init__.py
new file mode 100644
index 00000000000..aac2c39983e
--- /dev/null
+++ b/metaflow/package/__init__.py
@@ -0,0 +1,664 @@
+import json
+import os
+import sys
+import threading
+import time
+
+from io import BytesIO
+from types import ModuleType
+from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING, Type, cast
+
+from ..debug import debug
+from ..packaging_sys import ContentType, MetaflowCodeContent
+from ..packaging_sys.backend import PackagingBackend
+from ..packaging_sys.tar_backend import TarPackagingBackend
+from ..packaging_sys.v1 import MetaflowCodeContentV1
+from ..packaging_sys.utils import suffix_filter, walk
+from ..metaflow_config import DEFAULT_PACKAGE_SUFFIXES
+from ..exception import MetaflowException
+from ..user_configs.config_parameters import dump_config_values
+from ..util import get_metaflow_root
+from .. import R
+
+DEFAULT_SUFFIXES_LIST = DEFAULT_PACKAGE_SUFFIXES.split(",")
+
+
+if TYPE_CHECKING:
+    import metaflow.datastore
+
+
+class NonUniqueFileNameToFilePathMappingException(MetaflowException):
+    headline = "Non-unique file path for a file name included in code package"
+
+    def __init__(self, filename, file_paths, lineno=None):
+        msg = (
+            "Filename %s included in the code package includes multiple different "
+            "paths for the same name : %s.\n"
+            "The `filename` in the `add_to_package` decorator hook requires a unique "
+            "`file_path` to `file_name` mapping" % (filename, ", ".join(file_paths))
+        )
+        super().__init__(msg=msg, lineno=lineno)
+
+
+class MetaflowPackage(object):
+    def __init__(
+        self,
+        flow,
+        environment,
+        echo,
+        suffixes: Optional[List[str]] = DEFAULT_SUFFIXES_LIST,
+        user_code_filter: Optional[Callable[[str], bool]] = None,
+        flow_datastore: Optional["metaflow.datastore.FlowDataStore"] = None,
+        mfcontent: Optional[MetaflowCodeContent] = None,
+        exclude_tl_dirs=None,
+        backend: Type[PackagingBackend] = TarPackagingBackend,
+    ):
+        self._environment = environment
+        self._environment.init_environment(echo)
+
+        self._echo = echo
+        self._flow = flow
+        self._flow_datastore = flow_datastore
+        self._backend = backend
+
+        # Info about the package
+        self._name = None
+        self._create_time = time.time()
+        self._user_flow_dir = None
+
+        # Content of the package (and settings on how to create it)
+        if suffixes is not None:
+            self._suffixes = list(set().union(suffixes, DEFAULT_SUFFIXES_LIST))
+        else:
+            self._suffixes = None
+
+        def _module_selector(m) -> bool:
+            from ..user_decorators.user_flow_decorator import FlowMutatorMeta
+            from ..user_decorators.user_step_decorator import UserStepDecoratorMeta
+
+            if (
+                m.__name__ in FlowMutatorMeta._import_modules
+                or m.__name__ in UserStepDecoratorMeta._import_modules
+                or hasattr(m, "METAFLOW_PACKAGE")
+            ):
+                return True
+
+        if mfcontent is None:
+            self._mfcontent = MetaflowCodeContentV1(criteria=_module_selector)
+
+        else:
+            self._mfcontent = mfcontent
+        # We exclude the environment when packaging as this will be packaged separately.
+        # This comes into play primarily if packaging from a node already running packaged
+        # code.
+        # These directories are only excluded at the top-level (ie: not further down
+        # in sub-directories)
+        # "_escape_trampolines" is a special directory where trampoline escape hatch
+        # files are stored (used by Netflix Extension's Conda implementation).
+        self._exclude_tl_dirs = (
+            self._mfcontent.get_excluded_tl_entries()
+            + ["_escape_trampolines"]
+            + (exclude_tl_dirs or [])
+        )
+
+        if self._suffixes is not None and user_code_filter is not None:
+            self._user_code_filter = lambda x, f1=suffix_filter(
+                self._suffixes
+            ), f2=user_code_filter: f1(x) and f2(x)
+            self._filter_type = "suffixes and user filter"
+        elif self._suffixes is not None:
+            self._user_code_filter = suffix_filter(self._suffixes)
+            self._filter_type = "suffixes"
+        elif user_code_filter is not None:
+            self._user_code_filter = user_code_filter
+            self._filter_type = "user filter"
+        else:
+            self._user_code_filter = lambda x: True
+            self._filter_type = "no filter"
+
+        # Info about the package creation (it happens async)
+        self._is_package_available = None
+        self._blob_sha = None
+        self._blob_url = None
+        self._blob = None
+
+        # We launch a thread to create the package asynchronously and upload
+        # it opportunistically
+        self._create_thread = threading.Thread(
+            target=self._package_and_upload,
+            daemon=True,
+        )
+        self._create_thread.start()
+
+    # HORRIBLE HACK SO THAT CURRENT COMPUTE IMPLEMENTATIONS CAN STILL
+    # DO pkg.blob. Ideally, this goes away and blob_with_timeout becomes
+    # the main method (called blob).
+    @property
+    def blob(self) -> BytesIO:
+        return self.blob_with_timeout()
+
+    def blob_with_timeout(self, timeout: Optional[float] = None) -> BytesIO:
+        if self._blob is None:
+            self._create_thread.join(timeout)
+            if self._is_package_available is not None:
+                # We have our result now
+                if self._is_package_available:
+                    return self._blob
+                else:
+                    raise self._packaging_exception
+        return self._blob
+
+    def package_sha(self, timeout: Optional[float] = None) -> Optional[str]:
+        if self._blob_sha is None:
+            self._create_thread.join(timeout)
+            if self._is_package_available is not None:
+                # We have our result now
+                if self._is_package_available:
+                    return self._blob_sha
+                else:
+                    raise self._packaging_exception
+        return self._blob_sha
+
+    def package_url(self, timeout: Optional[float] = None) -> Optional[str]:
+        if self._blob_url is None:
+            self._create_thread.join(timeout)
+            if self._is_package_available is not None:
+                # We have our result now
+                if self._is_package_available:
+                    return self._blob_url
+                else:
+                    raise self._packaging_exception
+        return self._blob_url
+
+    @property
+    def package_metadata(self):
+        return json.dumps(
+            {
+                "version": 0,
+                "archive_format": self._backend.backend_type(),
+                "mfcontent_version": self._mfcontent.get_package_version(),
+            }
+        )
+
+    @classmethod
+    def get_backend(cls, pkg_metadata: str) -> PackagingBackend:
+        """
+        Method to get the backend type from the package metadata.
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+
+        Returns
+        -------
+        PackagingBackend
+            The backend type that can be used to extract the package.
+        """
+        backend_type = json.loads(pkg_metadata).get("archive_format", "tgz")
+        return PackagingBackend.get_backend(backend_type)
+
+    @classmethod
+    def get_extract_commands(
+        cls, pkg_metadata: str, archive_path: str, dest_dir: str = "."
+    ) -> List[str]:
+        """
+        Method to get the commands needed to extract the package into
+        the directory dest_dir. Note that this will return a list of commands
+        that can be passed to subprocess.run for example.
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        archive_path : str
+            The path to the archive to extract.
+        dest_dir : str, default "."
+            The directory to extract the package into.
+
+        Returns
+        -------
+        List[str]
+            The commands needed to extract the package into the directory dest_dir.
+        """
+        backend_type = json.loads(pkg_metadata).get("archive_format", "tgz")
+        # We now ask the backend type how to extract itself
+        backend = PackagingBackend.get_backend(backend_type)
+        cmds = backend.get_extract_commands(archive_path, dest_dir)
+        debug.package_exec(f"Command to extract {archive_path} into {dest_dir}: {cmds}")
+        return cmds
+
+    @classmethod
+    def get_post_extract_env_vars(
+        cls, pkg_metadata: str, dest_dir: str = "."
+    ) -> Dict[str, str]:
+        """
+        Method to get the environment variables needed to access the content
+        that has been extracted into the directory dest_dir. This will
+        typically involve setting PYTHONPATH
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        dest_dir : str, default "."
+            The directory where the content has been extracted to.
+
+        Returns
+        -------
+        Dict[str, str]
+            The post-extract environment variables that are needed to access the content
+            that has been extracted into dest_dir.
+        """
+        mfcontent_version = json.loads(pkg_metadata).get("mfcontent_version", 0)
+        env_vars = MetaflowCodeContent.get_post_extract_env_vars(
+            mfcontent_version, dest_dir
+        )
+        debug.package_exec(
+            f"Environment variables to access content extracted into {dest_dir}: {env_vars}"
+        )
+        return env_vars
+
+    @classmethod
+    def cls_get_content(
+        cls, pkg_metadata, archive: BytesIO, name: str
+    ) -> Optional[bytes]:
+        """
+        Method to get the content of a member in the package archive.
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        archive : BytesIO
+            The archive to extract the member from.
+        name : str
+            The name of the member to extract.
+
+        Returns
+        -------
+        Optional[bytes]
+            The content of the member if it exists, None otherwise.
+        """
+        backend = cls.get_backend(pkg_metadata)
+        with backend.cls_open(archive) as opened_archive:
+            return backend.cls_get_member(opened_archive, name)
+
+    @classmethod
+    def cls_get_info(cls, pkg_metadata, archive: BytesIO) -> Optional[Dict[str, str]]:
+        """
+        Method to get the info of the package from the archive.
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        archive : BytesIO
+            The archive to extract the info from.
+        Returns
+        -------
+        Optional[Dict[str, str]]
+            The info of the package if it exists, None otherwise.
+        """
+        backend = cls.get_backend(pkg_metadata)
+        with backend.cls_open(archive) as opened_archive:
+            return MetaflowCodeContent.get_archive_info(opened_archive, backend)
+
+    @classmethod
+    def cls_get_config(
+        cls, pkg_metadata: str, archive: BytesIO
+    ) -> Optional[Dict[str, str]]:
+        """
+        Method to get the config of the package from the archive.
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        archive : BytesIO
+            The archive to extract the config from.
+
+        Returns
+        -------
+        Optional[Dict[str, str]]
+            The config of the package if it exists, None otherwise.
+        """
+        backend = cls.get_backend(pkg_metadata)
+        with backend.cls_open(archive) as opened_archive:
+            return MetaflowCodeContent.get_archive_config(opened_archive, backend)
+
+    @classmethod
+    def cls_extract_into(
+        cls,
+        pkg_metadata: str,
+        archive: BytesIO,
+        dest_dir: str = ".",
+        content_types: int = ContentType.ALL_CONTENT.value,
+    ):
+        """
+        Method to extract the package archive into a directory.
+
+        Parameters
+        ----------
+        pkg_metadata : str
+            The metadata of the package to extract.
+        archive : BytesIO
+            The archive to extract.
+        dest_dir : str, default "."
+            The directory to extract the package into.
+        content_types : int, default ALL_CONTENT
+            The types of content to extract. This is a bitmask of ContentType values.
+        """
+        backend = cls.get_backend(pkg_metadata)
+        with backend.cls_open(archive) as opened_archive:
+            include_names = MetaflowCodeContent.get_archive_content_names(
+                opened_archive, content_types, backend
+            )
+            backend.extract_members(include_names, dest_dir)
+
+    def user_tuples(self, timeout: Optional[float] = None):
+        # Wait for at least the blob to be formed
+        _ = self.blob_with_timeout(timeout=timeout)
+        for path, arcname in self._cached_user_members:
+            yield path, arcname
+
+    def path_tuples(self, timeout: Optional[float] = None):
+        # Wait for at least the blob to be formed
+        _ = self.blob_with_timeout(timeout=timeout)
+        # Files included in the environment
+        yield from self._mfcontent.content_names()
+
+        # Files included in the user code
+        yield from self.user_tuples()
+
+    def show(self, timeout: Optional[float] = None) -> str:
+        # Human-readable content of the package
+        blob = self.blob_with_timeout(timeout=timeout)  # Ensure the package is created
+        lines = [
+            f"Package size: {self._format_size(len(blob))}",
+            f"Number of files: {sum(1 for _ in self.path_tuples())}",
+            self._mfcontent.show(),
+        ]
+
+        if self._flow:
+            lines.append(f"\nUser code in flow {self._name}:")
+            lines.append(f"  - Packaged from directory {self._user_flow_dir}")
+            if self._filter_type != "no filter":
+                if self._suffixes:
+                    lines.append(
+                        f"  - Filtered by suffixes: {', '.join(self._suffixes)}"
+                    )
+                else:
+                    lines.append(f"  - Filtered by {self._filter_type}")
+            else:
+                lines.append("  - No user code filter applied")
+            if self._exclude_tl_dirs:
+                lines.append(
+                    f"  - Excluded directories: {', '.join(self._exclude_tl_dirs)}"
+                )
+        return "\n".join(lines)
+
+    def get_content(
+        self, name: str, content_type: ContentType, timeout: Optional[float] = None
+    ) -> Optional[bytes]:
+        """
+        Method to get the content of a file within the package. This method
+        should be used for one-off access to small-ish files. If more files are
+        needed, use extract_into to extract the package into a directory and
+        then access the files from there.
+
+        Parameters
+        ----------
+        name : str
+            The name of the file to get the content of. Note that this
+            is not necessarily the name in the archive but is the name
+            that was passed in when creating the archive (in the archive,
+            it may be prefixed by some directory structure).
+        content_type : ContentType
+            The type of file to get the content of.
+
+        Returns
+        -------
+        Optional[bytes]
+            The content of the file. If the file is not found, None is returned.
+        """
+        # Wait for at least the blob to be formed
+        _ = self.blob_with_timeout(timeout=timeout)
+        if content_type == ContentType.USER_CONTENT:
+            for path, arcname in self.user_tuples():
+                if name == arcname:
+                    return open(path, "rb").read()
+            return None
+        elif content_type in (
+            ContentType.CODE_CONTENT,
+            ContentType.MODULE_CONTENT,
+            ContentType.OTHER_CONTENT,
+        ):
+            mangled_name = self._mfcontent.get_archive_filename(name, content_type)
+            for path_or_bytes, arcname in self._mfcontent.contents(content_type):
+                if mangled_name == arcname:
+                    if isinstance(path_or_bytes, bytes):
+                        # In case this is generated content like an INFO file
+                        return path_or_bytes
+                    # Otherwise, it is a file path
+                    return open(path_or_bytes, "rb").read()
+            return None
+        raise ValueError(f"Unknown content type: {content_type}")
+
+    def extract_into(
+        self,
+        dest_dir: str = ".",
+        content_types: int = ContentType.ALL_CONTENT.value,
+        timeout: Optional[float] = None,
+    ):
+        """
+        Method to extract the package (or some of the files) into a directory.
+
+        Parameters
+        ----------
+        dest_dir : str, default "."
+            The directory to extract the package into.
+        content_types : int, default ALL_CONTENT
+            The types of content to extract.
+        """
+        _ = self.blob_with_timeout(timeout=timeout)  # Ensure the package is created
+        member_list = []
+        if content_types & ContentType.USER_CONTENT.value:
+            member_list.extend(
+                [(m[0], os.path.join(dest_dir, m[1])) for m in self.user_tuples()]
+            )
+        if content_types & (
+            ContentType.CODE_CONTENT.value | ContentType.MODULE_CONTENT.value
+        ):
+            # We need to get the name of the files in the content archive to extract
+            member_list.extend(
+                [
+                    (m[0], os.path.join(dest_dir, m[1]))
+                    for m in self._mfcontent.content_names(
+                        content_types & ~ContentType.OTHER_CONTENT.value
+                    )
+                ]
+            )
+        for orig_path, new_path in member_list:
+            os.makedirs(os.path.dirname(new_path), exist_ok=True)
+            # TODO: In case there are duplicate files -- that should not be the case
+            # but there is a bug currently with internal Netflix code.
+            if not os.path.exists(new_path):
+                os.symlink(orig_path, new_path)
+            # Could copy files as well if we want to split them out.
+            # shutil.copy(orig_path, new_path)
+        # OTHER_CONTENT requires special handling because sometimes the file isn't a file
+        # but generated content
+        member_list = []
+        if content_types & ContentType.OTHER_CONTENT.value:
+            member_list.extend(
+                [
+                    (m[0], os.path.join(dest_dir, m[1]))
+                    for m in self._mfcontent.contents(ContentType.OTHER_CONTENT)
+                ]
+            )
+        for path_or_content, new_path in member_list:
+            os.makedirs(os.path.dirname(new_path), exist_ok=True)
+            if not os.path.exists(new_path):
+                if isinstance(path_or_content, bytes):
+                    with open(new_path, "wb") as f:
+                        f.write(path_or_content)
+                else:
+                    os.symlink(path_or_content, new_path)
+
+    @staticmethod
+    def _format_size(size_in_bytes):
+        for unit in ["B", "KB", "MB", "GB", "TB"]:
+            if size_in_bytes < 1024.0:
+                return f"{size_in_bytes:.2f} {unit}"
+            size_in_bytes /= 1024.0
+        return f"{size_in_bytes:.2f} PB"
+
+    def _package_and_upload(self):
+        try:
+            # Can be called without a flow (Function)
+            if self._flow:
+                for step in self._flow:
+                    for deco in step.decorators:
+                        deco.package_init(self._flow, step.__name__, self._environment)
+                self._name = f"flow {self._flow.name}"
+            else:
+                self._name = ""
+
+            # Add metacontent
+            self._mfcontent.add_info(
+                self._environment.get_environment_info(include_ext_info=True)
+            )
+
+            self._mfcontent.add_config(dump_config_values(self._flow))
+
+            # Add user files (from decorators and environment)
+            if self._flow:
+                self._add_addl_files()
+                self._cached_user_members = list(self._user_code_tuples())
+                debug.package_exec(
+                    f"User files to package: {self._cached_user_members}"
+                )
+
+            self._blob = self._make()
+            if self._flow_datastore:
+                if len(self._blob) > 100 * 1024 * 1024:
+                    self._echo(
+                        f"Warning: The code package for {self._flow.name} is larger than "
+                        f"100MB (found it to be {self._format_size(len(self._blob))}) "
+                        "This may lead to slower upload times for remote runs and no "
+                        "uploads for local runs. Consider reducing the package size. "
+                        "Use ` package info` or ` package list` "
+                        "to get more information about what is included in the package."
+                    )
+                self._blob_url, self._blob_sha = self._flow_datastore.save_data(
+                    [self._blob], len_hint=1
+                )[0]
+            else:
+                self._blob_url = self._blob_sha = ""
+            self._is_package_available = True
+        except Exception as e:
+            self._packaging_exception = e
+            self._echo(f"Package creation/upload failed for {self._flow.name}: {e}")
+            self._is_package_available = False
+
+    def _add_addl_files(self):
+        # Look at all decorators that provide additional files
+        deco_module_paths = {}
+        addl_modules = set()
+
+        def _check_tuple(path_tuple):
+            if len(path_tuple) == 2:
+                path_tuple = (
+                    path_tuple[0],
+                    path_tuple[1],
+                    ContentType.CODE_CONTENT,
+                )
+            file_path, file_name, file_type = path_tuple
+            if file_type == ContentType.MODULE_CONTENT:
+                if file_path in addl_modules:
+                    return None  # Module was already added -- we don't add twice
+                addl_modules.add(file_path)
+            elif file_type in (
+                ContentType.OTHER_CONTENT,
+                ContentType.CODE_CONTENT,
+            ):
+                path_tuple = (os.path.realpath(path_tuple[0]), path_tuple[1], file_type)
+                # These are files
+                # Check if the path is not duplicated as
+                # many steps can have the same packages being imported
+                if file_name not in deco_module_paths:
+                    deco_module_paths[file_name] = file_path
+                elif deco_module_paths[file_name] != file_path:
+                    raise NonUniqueFileNameToFilePathMappingException(
+                        file_name, [deco_module_paths[file_name], file_path]
+                    )
+            else:
+                raise ValueError(f"Unknown file type: {file_type}")
+            return path_tuple
+
+        def _add_tuple(path_tuple):
+            file_path, file_name, file_type = path_tuple
+            if file_type == ContentType.MODULE_CONTENT:
+                # file_path is actually a module
+                self._mfcontent.add_module(cast(ModuleType, file_path))
+            elif file_type == ContentType.CODE_CONTENT:
+                self._mfcontent.add_code_file(file_path, file_name)
+            elif file_type == ContentType.OTHER_CONTENT:
+                self._mfcontent.add_other_file(file_path, file_name)
+
+        for step in self._flow:
+            for deco in step.decorators:
+                for path_tuple in deco.add_to_package():
+                    path_tuple = _check_tuple(path_tuple)
+                    if path_tuple is None:
+                        continue
+                    _add_tuple(path_tuple)
+
+        # the package folders for environment
+        for path_tuple in self._environment.add_to_package():
+            path_tuple = _check_tuple(path_tuple)
+            if path_tuple is None:
+                continue
+            _add_tuple(path_tuple)
+
+    def _user_code_tuples(self):
+        if R.use_r():
+            # the R working directory
+            self._user_flow_dir = R.working_dir()
+            for path_tuple in walk(
+                "%s/" % R.working_dir(), file_filter=self._user_code_filter
+            ):
+                yield path_tuple
+            # the R package
+            for path_tuple in R.package_paths():
+                yield path_tuple
+        else:
+            # the user's working directory
+            flowdir = os.path.dirname(os.path.abspath(sys.argv[0])) + "/"
+            self._user_flow_dir = flowdir
+            for path_tuple in walk(
+                flowdir,
+                file_filter=self._user_code_filter,
+                exclude_tl_dirs=self._exclude_tl_dirs,
+            ):
+                # TODO: This is where we will check if the file is already included
+                # in the mfcontent portion
+                yield path_tuple
+
+    def _make(self):
+        backend = self._backend()
+        with backend.create() as archive:
+            # Package the environment
+            for path_or_bytes, arcname in self._mfcontent.contents():
+                if isinstance(path_or_bytes, str):
+                    archive.add_file(path_or_bytes, arcname=arcname)
+                else:
+                    archive.add_data(BytesIO(path_or_bytes), arcname=arcname)
+
+            # Package the user code
+            for path, arcname in self._cached_user_members:
+                archive.add_file(path, arcname=arcname)
+        return backend.get_blob()
+
+    def __str__(self):
+        return f""
diff --git a/metaflow/packaging_sys/__init__.py b/metaflow/packaging_sys/__init__.py
new file mode 100644
index 00000000000..3cf6c74ca13
--- /dev/null
+++ b/metaflow/packaging_sys/__init__.py
@@ -0,0 +1,870 @@
+import json
+import os
+
+from enum import IntEnum
+from types import ModuleType
+from typing import (
+    Any,
+    Dict,
+    Generator,
+    List,
+    Optional,
+    TYPE_CHECKING,
+    Tuple,
+    Type,
+    Union,
+)
+
+from metaflow.packaging_sys.distribution_support import PackagedDistributionFinder
+
+
+from .backend import PackagingBackend
+from .tar_backend import TarPackagingBackend
+
+from ..util import get_metaflow_root
+
+MFCONTENT_MARKER = ".mf_install"
+
+if TYPE_CHECKING:
+    import metaflow.extension_support.metadata
+
+
+class ContentType(IntEnum):
+    USER_CONTENT = (
+        0x1  # File being added is user code (ie: the directory with the flow file)
+    )
+    CODE_CONTENT = (
+        0x2  # File being added is non-user code (libraries, metaflow itself, ...)
+    )
+    MODULE_CONTENT = 0x4  # File being added is a python module
+    OTHER_CONTENT = 0x8  # File being added is a non-python file
+
+    ALL_CONTENT = USER_CONTENT | CODE_CONTENT | MODULE_CONTENT | OTHER_CONTENT
+
+
+class MetaflowCodeContent:
+    """
+    Base class for all Metaflow code packages (non user code).
+
+    A Metaflow code package, at a minimum, contains:
+      - a special INFO file (containing a bunch of metadata about the Metaflow environment)
+      - a special CONFIG file (containing user configurations for the flow)
+
+    Declare all other MetaflowCodeContent subclasses (versions) here to handle just the functions
+    that are not implemented here. In a *separate* file, declare any other
+    function for that specific version.
+
+    NOTE: This file must remain as dependency-free as possible as it is loaded *very*
+    early on. This is why you must decleare a *separate* class implementing what you want
+    the Metaflow code package (non user) to do.
+    """
+
+    _cached_mfcontent_info = {}
+
+    _mappings = {}
+
+    @classmethod
+    def get_info(cls) -> Optional[Dict[str, Any]]:
+        """
+        Get the content of the special INFO file on the local filesystem after
+        the code package has been expanded.
+
+        Returns
+        -------
+        Optional[Dict[str, Any]]
+            The content of the INFO file -- None if there is no such file.
+        """
+        mfcontent_info = cls._extract_mfcontent_info()
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_info_impl(mfcontent_info)
+
+    @classmethod
+    def get_config(cls) -> Optional[Dict[str, Any]]:
+        """
+        Get the content of the special CONFIG file on the local filesystem after
+        the code package has been expanded.
+
+        Returns
+        -------
+        Optional[Dict[str, Any]]
+            The content of the CONFIG file -- None if there is no such file.
+        """
+        mfcontent_info = cls._extract_mfcontent_info()
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_config_impl(mfcontent_info)
+
+    @classmethod
+    def get_filename(cls, filename: str, content_type: ContentType) -> Optional[str]:
+        """
+        Get the path to a file extracted from the archive. The filename is the filename
+        passed in when creating the archive and content_type is the type of the content.
+
+        This function will return the local path where the file can be found after
+        the package has been extracted.
+
+        Parameters
+        ----------
+        filename: str
+            The name of the file on the filesystem.
+        content_type: ContentType
+
+        Returns
+        -------
+        str
+            The path to the file on the local filesystem or None if not found.
+        """
+        mfcontent_info = cls._extract_mfcontent_info()
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_filename_impl(mfcontent_info, filename, content_type)
+
+    @classmethod
+    def get_env_vars_for_packaged_metaflow(
+        cls, dest_dir: str
+    ) -> Optional[Dict[str, str]]:
+        """
+        Get the environment variables that are needed to run Metaflow when it is
+        packaged. This is typically used to set the PYTHONPATH to include the
+        directory where the Metaflow code package has been extracted.
+
+        Returns
+        -------
+        Optional[Dict[str, str]]
+            The environment variables that are needed to run Metaflow when it is
+            packaged -- None if there are no such variables (not packaged for example)
+        """
+        mfcontent_info = cls._extract_mfcontent_info()
+        if mfcontent_info is None:
+            # No MFCONTENT_MARKER file found -- this is not a packaged Metaflow code
+            # package so no environment variables to set.
+            return None
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_post_extract_env_vars_impl(dest_dir)
+
+    @classmethod
+    def get_archive_info(
+        cls,
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        """
+        Get the content of the special INFO file in the archive.
+
+        Returns
+        -------
+        Optional[Dict[str, Any]]
+            The content of the INFO file -- None if there is no such file.
+        """
+        mfcontent_info = cls._extract_archive_mfcontent_info(archive, packaging_backend)
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_archive_info_impl(
+            mfcontent_info, archive, packaging_backend
+        )
+
+    @classmethod
+    def get_archive_config(
+        cls,
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        """
+        Get the content of the special CONFIG file in the archive.
+
+        Returns
+        -------
+        Optional[Dict[str, Any]]
+            The content of the CONFIG file -- None if there is no such file.
+        """
+        mfcontent_info = cls._extract_archive_mfcontent_info(archive, packaging_backend)
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_archive_config_impl(
+            mfcontent_info, archive, packaging_backend
+        )
+
+    @classmethod
+    def get_archive_filename(
+        cls,
+        archive: Any,
+        filename: str,
+        content_type: ContentType,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[str]:
+        """
+        Get the filename of the archive. This does not do any extraction but simply
+        returns where, in the archive, the file is located. This is the equivalent of
+        get_filename but for files not extracted yet.
+
+        Parameters
+        ----------
+        archive: Any
+            The archive to get the filename from.
+        filename: str
+            The name of the file in the archive.
+        content_type: ContentType
+            The type of the content (e.g., code, other, etc.).
+        packaging_backend: Type[PackagingBackend], default TarPackagingBackend
+            The packaging backend to use.
+
+        Returns
+        -------
+        str
+            The filename of the archive or None if not found.
+        """
+        mfcontent_info = cls._extract_archive_mfcontent_info(archive, packaging_backend)
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_archive_filename_impl(
+            mfcontent_info, archive, filename, content_type, packaging_backend
+        )
+
+    @classmethod
+    def get_archive_content_names(
+        cls,
+        archive: Any,
+        content_types: Optional[int] = None,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> List[str]:
+        mfcontent_info = cls._extract_archive_mfcontent_info(archive, packaging_backend)
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_archive_content_names_impl(
+            mfcontent_info, archive, content_types, packaging_backend
+        )
+
+    @classmethod
+    def get_distribution_finder(
+        cls,
+    ) -> Optional["metaflow.extension_support.metadata.DistributionFinder"]:
+        """
+        Get the distribution finder for the Metaflow code package (if applicable).
+
+        Some packages will include distribution information to "pretend" that some packages
+        are actually distributions even if we just include them in the code package.
+
+        Returns
+        -------
+        Optional["metaflow.extension_support.metadata.DistributionFinder"]
+            The distribution finder for the Metaflow code package -- None if there is no
+            such finder.
+        """
+        mfcontent_info = cls._extract_mfcontent_info()
+        handling_cls = cls._get_mfcontent_class(mfcontent_info)
+        return handling_cls.get_distribution_finder_impl(mfcontent_info)
+
+    @classmethod
+    def get_post_extract_env_vars(
+        cls, version_id: int, dest_dir: str = "."
+    ) -> Dict[str, str]:
+        """
+        Get the post-extract environment variables that are needed to access the content
+        that has been extracted into dest_dir.
+
+        This will typically involve setting PYTHONPATH.
+
+        Parameters
+        ----------
+        version_id: int
+            The version of MetaflowCodeContent for this package.
+        dest_dir: str, default "."
+            The directory where the content has been extracted to.
+
+        Returns
+        -------
+        Dict[str, str]
+            The post-extract environment variables that are needed to access the content
+            that has been extracted into extracted_dir.
+        """
+        if version_id not in cls._mappings:
+            raise ValueError(
+                "Invalid package -- unknown version %s in info: %s"
+                % (version_id, cls._mappings)
+            )
+        return cls._mappings[version_id].get_post_extract_env_vars_impl(dest_dir)
+
+    # Implement the _impl methods in the base subclass (in this file). These need to
+    # happen with as few imports as possible to prevent circular dependencies.
+    @classmethod
+    def get_info_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        raise NotImplementedError("get_info_impl not implemented")
+
+    @classmethod
+    def get_config_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        raise NotImplementedError("get_config_impl not implemented")
+
+    @classmethod
+    def get_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        filename: str,
+        content_type: ContentType,
+    ) -> Optional[str]:
+        raise NotImplementedError("get_filename_impl not implemented")
+
+    @classmethod
+    def get_distribution_finder_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional["metaflow.extension_support.metadata.DistributionFinder"]:
+        raise NotImplementedError("get_distribution_finder_impl not implemented")
+
+    @classmethod
+    def get_archive_info_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        raise NotImplementedError("get_archive_info_impl not implemented")
+
+    @classmethod
+    def get_archive_config_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        raise NotImplementedError("get_archive_config_impl not implemented")
+
+    @classmethod
+    def get_archive_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        filename: str,
+        content_type: ContentType,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[str]:
+        raise NotImplementedError("get_archive_filename_impl not implemented")
+
+    @classmethod
+    def get_archive_content_names_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        content_types: Optional[int] = None,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> List[str]:
+        raise NotImplementedError("get_archive_content_names_impl not implemented")
+
+    @classmethod
+    def get_post_extract_env_vars_impl(cls, dest_dir: str) -> Dict[str, str]:
+        raise NotImplementedError("get_post_extract_env_vars_impl not implemented")
+
+    def __init_subclass__(cls, version_id, **kwargs) -> None:
+        super().__init_subclass__(**kwargs)
+        if version_id in MetaflowCodeContent._mappings:
+            raise ValueError(
+                "Version ID %s already exists in MetaflowCodeContent mappings "
+                "-- this is a bug in Metaflow." % str(version_id)
+            )
+        MetaflowCodeContent._mappings[version_id] = cls
+        cls._version_id = version_id
+
+    # Implement these methods in sub-classes of the base sub-classes. These methods
+    # are called later and can have more dependencies and so can live in other files.
+    def get_excluded_tl_entries(self) -> List[str]:
+        """
+        When packaging Metaflow from within an executing Metaflow flow, we need to
+        exclude the files that are inserted by this content from being packaged (possibly).
+
+        Use this function to return these files or top-level directories.
+
+        Returns
+        -------
+        List[str]
+            Files or directories to exclude
+        """
+        return []
+
+    def content_names(
+        self, content_types: Optional[int] = None
+    ) -> Generator[Tuple[str, str], None, None]:
+        """
+        Detailed list of the content of this MetaflowCodeContent. This will list all files
+        (or non files -- for the INFO or CONFIG data for example) present in the archive.
+
+        Parameters
+        ----------
+        content_types : Optional[int]
+            The type of content to get the names of. If None, all content is returned.
+
+        Yields
+        ------
+        Generator[Tuple[str, str], None, None]
+            Path on the filesystem and the name in the archive
+        """
+        raise NotImplementedError("content_names not implemented")
+
+    def contents(
+        self, content_types: Optional[int] = None
+    ) -> Generator[Tuple[Union[bytes, str], str], None, None]:
+        """
+        Very similar to content_names but returns the content of the non-files
+        as well as bytes. For files, identical output as content_names
+
+        Parameters
+        ----------
+        content_types : Optional[int]
+            The type of content to get the content of. If None, all content is returned.
+
+        Yields
+        ------
+        Generator[Tuple[Union[str, bytes], str], None, None]
+            Content of the MF content
+        """
+        raise NotImplementedError("content not implemented")
+
+    def show(self) -> str:
+        """
+        Returns a more human-readable string representation of the content of this
+        MetaflowCodeContent. This will not, for example, list all files but summarize what
+        is included at a more high level.
+
+        Returns
+        -------
+        str
+            A human-readable string representation of the content of this MetaflowCodeContent
+        """
+        raise NotImplementedError("show not implemented")
+
+    def add_info(self, info: Dict[str, Any]) -> None:
+        """
+        Add the content of the INFO file to the Metaflow content
+
+        Parameters
+        ----------
+        info: Dict[str, Any]
+            The content of the INFO file
+        """
+        raise NotImplementedError("add_info not implemented")
+
+    def add_config(self, config: Dict[str, Any]) -> None:
+        """
+        Add the content of the CONFIG file to the Metaflow content
+
+        Parameters
+        ----------
+        config: Dict[str, Any]
+            The content of the CONFIG file
+        """
+        raise NotImplementedError("add_config not implemented")
+
+    def add_module(self, module_path: ModuleType) -> None:
+        """
+        Add a python module to the Metaflow content
+
+        Parameters
+        ----------
+        module_path: ModuleType
+            The module to add
+        """
+        raise NotImplementedError("add_module not implemented")
+
+    def add_code_file(self, file_path: str, file_name: str) -> None:
+        """
+        Add a code file to the Metaflow content
+
+        Parameters
+        ----------
+        file_path: str
+            The path to the code file to add (on the filesystem)
+        file_name: str
+            The path in the archive to add the code file to
+        """
+        raise NotImplementedError("add_code_file not implemented")
+
+    def add_other_file(self, file_path: str, file_name: str) -> None:
+        """
+        Add a non-python file to the Metaflow content
+
+        Parameters
+        ----------
+        file_path: str
+            The path to the file to add (on the filesystem)
+        file_name: str
+            The path in the archive to add the file to
+        """
+        raise NotImplementedError("add_other_file not implemented")
+
+    @classmethod
+    def _get_mfcontent_class(
+        cls, info: Optional[Dict[str, Any]]
+    ) -> Type["MetaflowCodeContent"]:
+        if info is None:
+            return MetaflowCodeContentV0
+        if "version" not in info:
+            raise ValueError("Invalid package -- missing version in info: %s" % info)
+        version = info["version"]
+        if version not in cls._mappings:
+            raise ValueError(
+                "Invalid package -- unknown version %s in info: %s" % (version, info)
+            )
+
+        return cls._mappings[version]
+
+    @classmethod
+    def _extract_archive_mfcontent_info(
+        cls,
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        if id(archive) in cls._cached_mfcontent_info:
+            return cls._cached_mfcontent_info[id(archive)]
+
+        mfcontent_info = None  # type: Optional[Dict[str, Any]]
+        # Here we need to extract the information from the archive
+        if packaging_backend.cls_has_member(archive, MFCONTENT_MARKER):
+            # The MFCONTENT_MARKER file is present in the archive
+            # We can extract the information from it
+            extracted_info = packaging_backend.cls_get_member(archive, MFCONTENT_MARKER)
+            if extracted_info:
+                mfcontent_info = json.loads(extracted_info)
+        cls._cached_mfcontent_info[id(archive)] = mfcontent_info
+        return mfcontent_info
+
+    @classmethod
+    def _extract_mfcontent_info(cls) -> Optional[Dict[str, Any]]:
+        if "_local" in cls._cached_mfcontent_info:
+            return cls._cached_mfcontent_info["_local"]
+
+        mfcontent_info = None  # type: Optional[Dict[str, Any]]
+        if os.path.exists(os.path.join(get_metaflow_root(), MFCONTENT_MARKER)):
+            with open(
+                os.path.join(get_metaflow_root(), MFCONTENT_MARKER),
+                "r",
+                encoding="utf-8",
+            ) as f:
+                mfcontent_info = json.load(f)
+        cls._cached_mfcontent_info["_local"] = mfcontent_info
+        return mfcontent_info
+
+    def get_package_version(self) -> int:
+        """
+        Get the version of MetaflowCodeContent for this package.
+        """
+        # _version_id is set in __init_subclass__ when the subclass is created
+        return self._version_id
+
+
+class MetaflowCodeContentV0(MetaflowCodeContent, version_id=0):
+    @classmethod
+    def get_info_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        path_to_file = os.path.join(get_metaflow_root(), "INFO")
+        if os.path.isfile(path_to_file):
+            with open(path_to_file, "r", encoding="utf-8") as f:
+                return json.load(f)
+        return None
+
+    @classmethod
+    def get_config_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        path_to_file = os.path.join(get_metaflow_root(), "CONFIG")
+        if os.path.isfile(path_to_file):
+            with open(path_to_file, "r", encoding="utf-8") as f:
+                return json.load(f)
+        return None
+
+    @classmethod
+    def get_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        filename: str,
+        content_type: ContentType,
+    ) -> Optional[str]:
+        """
+        For V0, the filename is simply the filename passed in.
+        """
+        path_to_file = os.path.join(get_metaflow_root(), filename)
+        if os.path.isfile(path_to_file):
+            return path_to_file
+        return None
+
+    @classmethod
+    def get_distribution_finder_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional["metaflow.extension_support.metadata.DistributionFinder"]:
+        return None
+
+    @classmethod
+    def get_archive_info_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        info_content = packaging_backend.cls_get_member(archive, "INFO")
+        if info_content:
+            return json.loads(info_content)
+        return None
+
+    @classmethod
+    def get_archive_config_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        info_content = packaging_backend.cls_get_member(archive, "CONFIG")
+        if info_content:
+            return json.loads(info_content)
+        return None
+
+    @classmethod
+    def get_archive_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        filename: str,
+        content_type: ContentType,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> str:
+        if packaging_backend.cls_has_member(archive, filename):
+            # The file is present in the archive
+            return filename
+        return None
+
+    @classmethod
+    def get_archive_content_names_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        content_types: Optional[int] = None,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> List[str]:
+        """
+        For V0, we use a static list of known files to classify the content
+        """
+        known_prefixes = {
+            "metaflow/": ContentType.CODE_CONTENT.value,
+            "metaflow_extensions/": ContentType.CODE_CONTENT.value,
+            "INFO": ContentType.OTHER_CONTENT.value,
+            "CONFIG": ContentType.OTHER_CONTENT.value,
+            "conda.manifest": ContentType.OTHER_CONTENT.value,
+            "uv.lock": ContentType.OTHER_CONTENT.value,
+            "pyproject.toml": ContentType.OTHER_CONTENT.value,
+            # Used in nflx-metaflow-extensions
+            "condav2-1.cnd": ContentType.OTHER_CONTENT.value,
+        }
+        to_return = []
+        for filename in packaging_backend.cls_list_members(archive):
+            for prefix, classification in known_prefixes.items():
+                if (
+                    prefix[-1] == "/" and filename.startswith(prefix)
+                ) or prefix == filename:
+                    if content_types & classification:
+                        to_return.append(filename)
+                elif content_types & ContentType.USER_CONTENT.value:
+                    # Everything else is user content
+                    to_return.append(filename)
+        return to_return
+
+    @classmethod
+    def get_post_extract_env_vars_impl(cls, dest_dir: str) -> Dict[str, str]:
+        return {"PYTHONPATH": dest_dir}
+
+    def get_excluded_tl_entries(self) -> List[str]:
+        """
+        When packaging Metaflow from within an executing Metaflow flow, we need to
+        exclude the files that are inserted by this content from being packaged (possibly).
+
+        Use this function to return these files or top-level directories.
+
+        Returns
+        -------
+        List[str]
+            Files or directories to exclude
+        """
+        return ["CONFIG", "INFO"]
+
+    # Other non-implemented methods are OK not being implemented as they will never
+    # be called as they are only used when creating the package and we are starting
+    # with V1.
+
+
+class MetaflowCodeContentV1Base(MetaflowCodeContent, version_id=1):
+    _code_dir = ".mf_code"
+    _other_dir = ".mf_meta"
+    _info_file = "INFO"
+    _config_file = "CONFIG"
+    _dist_info_file = "DIST_INFO"
+
+    def __init_subclass__(cls, **kwargs) -> None:
+        # Important to add this here to prevent the subclass of MetaflowCodeContentV1Base from
+        # also calling __init_subclass__ in MetaflowCodeContent (which would create a problem)
+        return None
+
+    def __init__(self, code_dir: str, other_dir: str) -> None:
+        self._code_dir = code_dir
+        self._other_dir = other_dir
+
+    @classmethod
+    def _get_otherfile_path(
+        cls, mfcontent_info: Optional[Dict[str, Any]], filename: str, in_archive: bool
+    ) -> str:
+        if in_archive:
+            return filename
+        return os.path.join(get_metaflow_root(), "..", cls._other_dir, filename)
+
+    @classmethod
+    def _get_codefile_path(
+        cls, mfcontent_info: Optional[Dict[str, Any]], filename: str, in_archive: bool
+    ) -> str:
+        if in_archive:
+            return filename
+        return os.path.join(get_metaflow_root(), filename)
+
+    @classmethod
+    def get_info_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        path_to_file = cls._get_otherfile_path(
+            mfcontent_info, cls._info_file, in_archive=False
+        )
+        if os.path.isfile(path_to_file):
+            with open(path_to_file, "r", encoding="utf-8") as f:
+                return json.load(f)
+        return None
+
+    @classmethod
+    def get_config_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        path_to_file = cls._get_otherfile_path(
+            mfcontent_info, cls._config_file, in_archive=False
+        )
+        if os.path.isfile(path_to_file):
+            with open(path_to_file, "r", encoding="utf-8") as f:
+                return json.load(f)
+        return None
+
+    @classmethod
+    def get_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        filename: str,
+        content_type: ContentType,
+    ) -> Optional[str]:
+        if content_type == ContentType.CODE_CONTENT:
+            path_to_file = cls._get_codefile_path(
+                mfcontent_info, filename, in_archive=False
+            )
+        elif content_type in (ContentType.OTHER_CONTENT, ContentType.MODULE_CONTENT):
+            path_to_file = cls._get_otherfile_path(
+                mfcontent_info, filename, in_archive=False
+            )
+        else:
+            raise ValueError(
+                f"Invalid content type {content_type} for filename {filename}"
+            )
+        if os.path.isfile(path_to_file):
+            return path_to_file
+        return None
+
+    @classmethod
+    def get_distribution_finder_impl(
+        cls, mfcontent_info: Optional[Dict[str, Any]]
+    ) -> Optional["metaflow.extension_support.metadata.DistributionFinder"]:
+        path_to_file = cls._get_otherfile_path(
+            mfcontent_info, cls._dist_info_file, in_archive=False
+        )
+        if os.path.isfile(path_to_file):
+            with open(path_to_file, "r", encoding="utf-8") as f:
+                return PackagedDistributionFinder(json.load(f))
+        return None
+
+    @classmethod
+    def get_archive_info_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        info_file = packaging_backend.cls_get_member(
+            archive,
+            cls._get_otherfile_path(mfcontent_info, cls._info_file, in_archive=True),
+        )
+        if info_file:
+            return json.loads(info_file)
+        return None
+
+    @classmethod
+    def get_archive_config_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> Optional[Dict[str, Any]]:
+        config_file = packaging_backend.cls_get_member(
+            archive,
+            cls._get_otherfile_path(mfcontent_info, cls._config_file, in_archive=True),
+        )
+        if config_file:
+            return json.loads(config_file)
+        return None
+
+    @classmethod
+    def get_archive_filename_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        filename: str,
+        content_type: ContentType,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> str:
+        if content_type == ContentType.CODE_CONTENT:
+            path_to_file = cls._get_codefile_path(
+                mfcontent_info, filename, in_archive=False
+            )
+        elif content_type in (ContentType.OTHER_CONTENT, ContentType.MODULE_CONTENT):
+            path_to_file = cls._get_otherfile_path(
+                mfcontent_info, filename, in_archive=False
+            )
+        else:
+            raise ValueError(
+                f"Invalid content type {content_type} for filename {filename}"
+            )
+        if packaging_backend.cls_has_member(archive, path_to_file):
+            # The file is present in the archive
+            return path_to_file
+        return None
+
+    @classmethod
+    def get_archive_content_names_impl(
+        cls,
+        mfcontent_info: Optional[Dict[str, Any]],
+        archive: Any,
+        content_types: Optional[int] = None,
+        packaging_backend: Type[PackagingBackend] = TarPackagingBackend,
+    ) -> List[str]:
+        to_return = []
+        module_content = set(mfcontent_info.get("module_files", []))
+        for filename in packaging_backend.cls_list_members(archive):
+            if filename.startswith(cls._other_dir) and (
+                content_types & ContentType.OTHER_CONTENT.value
+            ):
+                to_return.append(filename)
+            elif filename.startswith(cls._code_dir):
+                # Special case for marker which is a other content even if in code.
+                if filename == f"{cls._code_dir}/{MFCONTENT_MARKER}":
+                    if content_types & ContentType.OTHER_CONTENT.value:
+                        to_return.append(filename)
+                    else:
+                        continue
+                # Here it is either module or code
+                if os.path.join(cls._code_dir, filename) in module_content:
+                    if content_types & ContentType.MODULE_CONTENT.value:
+                        to_return.append(filename)
+                elif content_types & ContentType.CODE_CONTENT.value:
+                    to_return.append(filename)
+            else:
+                if content_types & ContentType.USER_CONTENT.value:
+                    # Everything else is user content
+                    to_return.append(filename)
+        return to_return
+
+    @classmethod
+    def get_post_extract_env_vars_impl(cls, dest_dir: str) -> Dict[str, str]:
+        return {"PYTHONPATH": f"{dest_dir}/{cls._code_dir}"}
diff --git a/metaflow/packaging_sys/backend.py b/metaflow/packaging_sys/backend.py
new file mode 100644
index 00000000000..b2974640d1d
--- /dev/null
+++ b/metaflow/packaging_sys/backend.py
@@ -0,0 +1,113 @@
+from abc import ABC, abstractmethod
+from io import BytesIO
+from typing import Any, IO, List, Optional, Union
+
+
+class PackagingBackend(ABC):
+    _mappings = {}
+    type = "none"
+
+    def __init_subclass__(cls, **kwargs):
+        super().__init_subclass__(**kwargs)
+        if cls.type in cls._mappings:
+            raise ValueError(f"PackagingBackend {cls.type} already exists")
+        cls._mappings[cls.type] = cls
+
+    @classmethod
+    def get_backend(cls, name: str) -> "PackagingBackend":
+        if name not in cls._mappings:
+            raise ValueError(f"PackagingBackend {name} not found")
+        return cls._mappings[name]
+
+    @classmethod
+    def backend_type(cls) -> str:
+        return cls.type
+
+    @classmethod
+    @abstractmethod
+    def get_extract_commands(cls, archive_name: str, dest_dir: str) -> List[str]:
+        pass
+
+    def __init__(self):
+        self._archive = None
+
+    @abstractmethod
+    def create(self) -> "PackagingBackend":
+        pass
+
+    @abstractmethod
+    def add_file(self, filename: str, arcname: Optional[str] = None):
+        pass
+
+    @abstractmethod
+    def add_data(self, data: BytesIO, arcname: str):
+        pass
+
+    @abstractmethod
+    def close(self):
+        pass
+
+    @abstractmethod
+    def get_blob(self) -> Optional[Union[bytes, bytearray]]:
+        pass
+
+    @classmethod
+    @abstractmethod
+    def cls_open(cls, content: IO[bytes]) -> Any:
+        """Open the archive from the given content."""
+        pass
+
+    @classmethod
+    @abstractmethod
+    def cls_has_member(cls, archive: Any, name: str) -> bool:
+        pass
+
+    @classmethod
+    @abstractmethod
+    def cls_get_member(cls, archive: Any, name: str) -> Optional[bytes]:
+        pass
+
+    @classmethod
+    @abstractmethod
+    def cls_extract_members(
+        cls,
+        archive: Any,
+        members: Optional[List[str]] = None,
+        dest_dir: str = ".",
+    ) -> None:
+        pass
+
+    @classmethod
+    @abstractmethod
+    def cls_list_members(cls, archive: Any) -> Optional[List[str]]:
+        pass
+
+    def has_member(self, name: str) -> bool:
+        if self._archive:
+            return self.cls_has_member(self._archive, name)
+        raise ValueError("Cannot check for member in an uncreated archive")
+
+    def get_member(self, name: str) -> Optional[bytes]:
+        if self._archive:
+            return self.cls_get_member(self._archive, name)
+        raise ValueError("Cannot get member from an uncreated archive")
+
+    def extract_members(
+        self, members: Optional[List[str]] = None, dest_dir: str = "."
+    ) -> None:
+        if self._archive:
+            self.cls_extract_members(self._archive, members, dest_dir)
+        else:
+            raise ValueError("Cannot extract from an uncreated archive")
+
+    def list_members(self) -> Optional[List[str]]:
+        if self._archive:
+            return self.cls_list_members(self._archive)
+        raise ValueError("Cannot list members from an uncreated archive")
+
+    def __enter__(self):
+        self.create()
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.close()
diff --git a/metaflow/packaging_sys/distribution_support.py b/metaflow/packaging_sys/distribution_support.py
new file mode 100644
index 00000000000..9934849d951
--- /dev/null
+++ b/metaflow/packaging_sys/distribution_support.py
@@ -0,0 +1,153 @@
+# Support saving of distribution information so we can give it back to users even
+# if we do not install those distributions. This is used to package distributions in
+# the MetaflowCodeContent package and provide an experience as if the packages were installed
+# system-wide.
+
+import os
+import re
+import sys
+from pathlib import Path
+from types import ModuleType
+from typing import (
+    Callable,
+    Dict,
+    List,
+    Mapping,
+    NamedTuple,
+    Optional,
+    Set,
+    TYPE_CHECKING,
+    Union,
+    cast,
+)
+
+import inspect
+from collections import defaultdict
+
+from ..extension_support import metadata
+from ..util import get_metaflow_root
+
+if TYPE_CHECKING:
+    import pathlib
+
+_cached_distributions = None
+
+packages_distributions = None  # type: Optional[Callable[[], Mapping[str, List[str]]]]
+name_normalizer = re.compile(r"[-_.]+")
+
+if sys.version_info[:2] >= (3, 10):
+    packages_distributions = metadata.packages_distributions
+else:
+    # This is the code present in 3.10+ -- we replicate here for other versions
+    def _packages_distributions() -> Mapping[str, List[str]]:
+        """
+        Return a mapping of top-level packages to their
+        distributions.
+        """
+        pkg_to_dist = defaultdict(list)
+        for dist in metadata.distributions():
+            for pkg in _top_level_declared(dist) or _top_level_inferred(dist):
+                pkg_to_dist[pkg].append(dist.metadata["Name"])
+        return dict(pkg_to_dist)
+
+    def _top_level_declared(dist: metadata.Distribution) -> List[str]:
+        return (dist.read_text("top_level.txt") or "").split()
+
+    def _topmost(name: "pathlib.PurePosixPath") -> Optional[str]:
+        """
+        Return the top-most parent as long as there is a parent.
+        """
+        top, *rest = name.parts
+        return top if rest else None
+
+    def _get_toplevel_name(name: "pathlib.PurePosixPath") -> str:
+        return _topmost(name) or (
+            # python/typeshed#10328
+            inspect.getmodulename(name)  # type: ignore
+            or str(name)
+        )
+
+    def _top_level_inferred(dist: "metadata.Distribution"):
+        opt_names = set(map(_get_toplevel_name, dist.files or []))
+
+        def importable_name(name):
+            return "." not in name
+
+        return filter(importable_name, opt_names)
+
+    packages_distributions = _packages_distributions
+
+
+def modules_to_distributions() -> Dict[str, List[metadata.Distribution]]:
+    """
+    Return a mapping of top-level modules to their distributions.
+
+    Returns
+    -------
+    Dict[str, List[metadata.Distribution]]
+        A mapping of top-level modules to their distributions.
+    """
+    global _cached_distributions
+    pd = cast(Callable[[], Mapping[str, List[str]]], packages_distributions)
+    if _cached_distributions is None:
+        _cached_distributions = {
+            k: [metadata.distribution(d) for d in v] for k, v in pd().items()
+        }
+    return _cached_distributions
+
+
+_ModuleInfo = NamedTuple(
+    "_ModuleInfo",
+    [
+        ("name", str),
+        ("root_paths", Set[str]),
+        ("module", ModuleType),
+        ("metaflow_module", bool),
+    ],
+)
+
+
+class PackagedDistribution(metadata.Distribution):
+    """
+    A Python Package packaged within a MetaflowCodeContent. This allows users to use use importlib
+    as they would regularly and the packaged Python Package would be considered as a
+    distribution even if it really isn't (since it is just included in the PythonPath).
+    """
+
+    def __init__(self, root: str, content: Dict[str, str]):
+        self._root = Path(root)
+        self._content = content
+
+    # Strongly inspired from PathDistribution in metadata.py
+    def read_text(self, filename: Union[str, os.PathLike]) -> Optional[str]:
+        if str(filename) in self._content:
+            return self._content[str(filename)]
+        return None
+
+    read_text.__doc__ = metadata.Distribution.read_text.__doc__
+
+    # Returns a metadata.SimplePath but not always present in importlib.metadata libs so
+    # skipping return type.
+    def locate_file(self, path: Union[str, os.PathLike]):
+        return self._root / path
+
+
+class PackagedDistributionFinder(metadata.DistributionFinder):
+    def __init__(self, dist_info: Dict[str, Dict[str, str]]):
+        self._dist_info = dist_info
+
+    def find_distributions(self, context=metadata.DistributionFinder.Context()):
+        if context.name is None:
+            # Yields all known distributions
+            for name, info in self._dist_info.items():
+                yield PackagedDistribution(
+                    os.path.join(get_metaflow_root(), name), info
+                )
+            return None
+        name = name_normalizer.sub("-", cast(str, context.name)).lower()
+        if name in self._dist_info:
+            yield PackagedDistribution(
+                os.path.join(get_metaflow_root(), cast(str, context.name)),
+                self._dist_info[name],
+            )
+        return None
diff --git a/metaflow/packaging_sys/tar_backend.py b/metaflow/packaging_sys/tar_backend.py
new file mode 100644
index 00000000000..a606b1c53d3
--- /dev/null
+++ b/metaflow/packaging_sys/tar_backend.py
@@ -0,0 +1,86 @@
+import tarfile
+
+from io import BytesIO
+from typing import IO, List, Optional, Union
+
+from .backend import PackagingBackend
+
+
+class TarPackagingBackend(PackagingBackend):
+    type = "tgz"
+
+    @classmethod
+    def get_extract_commands(cls, archive_name: str, dest_dir: str) -> List[str]:
+        return [
+            f"TAR_OPTIONS='--warning=no-timestamp' tar -xzf {archive_name} -C {dest_dir}"
+        ]
+
+    def __init__(self):
+        super().__init__()
+        self._buf = None
+
+    def create(self):
+        self._buf = BytesIO()
+        self._archive = tarfile.open(
+            fileobj=self._buf, mode="w:gz", compresslevel=3, dereference=True
+        )
+        return self
+
+    def add_file(self, filename: str, arcname: Optional[str] = None):
+        info = self._archive.gettarinfo(filename, arcname)
+        # Setting this default to Dec 3, 2019
+        info.mtime = 1575360000
+        with open(filename, mode="rb") as f:
+            self._archive.addfile(info, f)
+
+    def add_data(self, data: BytesIO, arcname: str):
+        info = tarfile.TarInfo(arcname)
+        data.seek(0)
+        info.size = len(data.getvalue())
+        # Setting this default to Dec 3, 2019
+        info.mtime = 1575360000
+        self._archive.addfile(info, data)
+
+    def close(self):
+        if self._archive:
+            self._archive.close()
+
+    def get_blob(self) -> Optional[Union[bytes, bytearray]]:
+        if self._buf:
+            blob = bytearray(self._buf.getvalue())
+            blob[4:8] = [0] * 4  # Reset 4 bytes from offset 4 to account for ts
+            return blob
+        return None
+
+    @classmethod
+    def cls_open(cls, content: IO[bytes]) -> tarfile.TarFile:
+        return tarfile.open(fileobj=content, mode="r:gz")
+
+    @classmethod
+    def cls_has_member(cls, archive: tarfile.TarFile, name: str) -> bool:
+        try:
+            archive.getmember(name)
+            return True
+        except KeyError:
+            return False
+
+    @classmethod
+    def cls_get_member(cls, archive: tarfile.TarFile, name: str) -> Optional[bytes]:
+        try:
+            member = archive.getmember(name)
+            return archive.extractfile(member).read()
+        except KeyError:
+            return None
+
+    @classmethod
+    def cls_extract_members(
+        cls,
+        archive: tarfile.TarFile,
+        members: Optional[List[str]] = None,
+        dest_dir: str = ".",
+    ) -> None:
+        archive.extractall(path=dest_dir, members=members)
+
+    @classmethod
+    def cls_list_members(cls, archive: tarfile.TarFile) -> Optional[List[str]]:
+        return archive.getnames() or None
diff --git a/metaflow/packaging_sys/utils.py b/metaflow/packaging_sys/utils.py
new file mode 100644
index 00000000000..9f1bae3b627
--- /dev/null
+++ b/metaflow/packaging_sys/utils.py
@@ -0,0 +1,91 @@
+import os
+from contextlib import contextmanager
+from typing import Callable, Generator, List, Optional, Tuple
+
+from ..util import to_unicode
+
+
+# this is os.walk(follow_symlinks=True) with cycle detection
+def walk_without_cycles(
+    top_root: str,
+    exclude_dirs: Optional[List[str]] = None,
+) -> Generator[Tuple[str, List[str]], None, None]:
+    seen = set()
+
+    default_skip_dirs = ["__pycache__"]
+
+    def _recurse(root, skip_dirs):
+        for parent, dirs, files in os.walk(root):
+            dirs[:] = [d for d in dirs if d not in skip_dirs]
+            for d in dirs:
+                path = os.path.join(parent, d)
+                if os.path.islink(path):
+                    # Breaking loops: never follow the same symlink twice
+                    #
+                    # NOTE: this also means that links to sibling links are
+                    # not followed. In this case:
+                    #
+                    #   x -> y
+                    #   y -> oo
+                    #   oo/real_file
+                    #
+                    # real_file is only included twice, not three times
+                    reallink = os.path.realpath(path)
+                    if reallink not in seen:
+                        seen.add(reallink)
+                        for x in _recurse(path, default_skip_dirs):
+                            yield x
+            yield parent, files
+
+    skip_dirs = set(default_skip_dirs + (exclude_dirs or []))
+    for x in _recurse(top_root, skip_dirs):
+        skip_dirs = default_skip_dirs
+        yield x
+
+
+def walk(
+    root: str,
+    exclude_hidden: bool = True,
+    file_filter: Optional[Callable[[str], bool]] = None,
+    exclude_tl_dirs: Optional[List[str]] = None,
+) -> Generator[Tuple[str, str], None, None]:
+    root = to_unicode(root)  # handle files/folder with non ascii chars
+    prefixlen = len("%s/" % os.path.dirname(root))
+    for (
+        path,
+        files,
+    ) in walk_without_cycles(root, exclude_tl_dirs):
+        if exclude_hidden and "/." in path:
+            continue
+        # path = path[2:] # strip the ./ prefix
+        # if path and (path[0] == '.' or './' in path):
+        #    continue
+        for fname in files:
+            if file_filter is None or file_filter(fname):
+                p = os.path.join(path, fname)
+                yield p, p[prefixlen:]
+
+
+def suffix_filter(suffixes: List[str]) -> Callable[[str], bool]:
+    """
+    Returns a filter function that checks if a file ends with any of the given suffixes.
+    """
+    suffixes = [s.lower() for s in suffixes]
+
+    def _filter(fname: str) -> bool:
+        fname = fname.lower()
+        return (
+            suffixes is None
+            or (fname[0] == "." and fname in suffixes)
+            or (fname[0] != "." and any(fname.endswith(suffix) for suffix in suffixes))
+        )
+
+    return _filter
+
+
+@contextmanager
+def with_dir(new_dir):
+    current_dir = os.getcwd()
+    os.chdir(new_dir)
+    yield new_dir
+    os.chdir(current_dir)
diff --git a/metaflow/packaging_sys/v1.py b/metaflow/packaging_sys/v1.py
new file mode 100644
index 00000000000..d0379450a56
--- /dev/null
+++ b/metaflow/packaging_sys/v1.py
@@ -0,0 +1,480 @@
+import json
+import os
+import sys
+from pathlib import Path
+from types import ModuleType
+from typing import Any, Callable, Dict, Generator, List, Optional, Set, Tuple, Union
+
+from ..debug import debug
+from ..extension_support import (
+    EXT_EXCLUDE_SUFFIXES,
+    extension_info,
+    package_mfext_all,
+    package_mfext_all_descriptions,
+)
+from ..exception import MetaflowException
+from ..metaflow_version import get_version
+from ..user_decorators.user_flow_decorator import FlowMutatorMeta
+from ..user_decorators.user_step_decorator import UserStepDecoratorMeta
+from ..util import get_metaflow_root
+from . import ContentType, MFCONTENT_MARKER, MetaflowCodeContentV1Base
+from .distribution_support import _ModuleInfo, modules_to_distributions
+from .utils import suffix_filter, walk
+
+
+class MetaflowCodeContentV1(MetaflowCodeContentV1Base):
+    METAFLOW_SUFFIXES_LIST = [".py", ".html", ".css", ".js"]
+
+    def __init__(
+        self,
+        code_dir: str = MetaflowCodeContentV1Base._code_dir,
+        other_dir: str = MetaflowCodeContentV1Base._other_dir,
+        criteria: Callable[[ModuleType], bool] = lambda x: True,
+    ):
+        super().__init__(code_dir, other_dir)
+
+        self._metaflow_root = get_metaflow_root()
+        self._metaflow_version = get_version()
+
+        self._criteria = criteria
+
+        # We try to find the modules we need to package. We will first look at all modules
+        # and apply the criteria to them. Then we will use the most parent module that
+        # fits the criteria as the module to package
+
+        # Make a copy since sys.modules could be modified while we load other
+        # modules. See https://github.com/Netflix/metaflow/issues/2489
+        all_modules = dict(sys.modules)
+        modules = filter(lambda x: criteria(x[1]), all_modules.items())
+        # Ensure that we see the parent modules first
+        modules = sorted(modules, key=lambda x: x[0])
+        if modules:
+            last_prefix = modules[0][0]
+            new_modules = [modules[0]]
+            for name, mod in modules[1:]:
+                if name.startswith(last_prefix + "."):
+                    # This is a submodule of the last module, we can skip it
+                    continue
+                # Otherwise, we have a new top-level module
+                last_prefix = name
+                new_modules.append((name, mod))
+        else:
+            new_modules = []
+
+        self._modules = {
+            name: _ModuleInfo(
+                name,
+                set(
+                    Path(p).resolve().as_posix()
+                    for p in getattr(mod, "__path__", [mod.__file__])
+                ),
+                mod,
+                True,  # This is a Metaflow module (see filter below)
+            )
+            for (name, mod) in new_modules
+        }
+
+        # Filter the modules
+        self._modules = {
+            name: info for name, info in self._modules.items() if criteria(info.module)
+        }
+
+        # Contain metadata information regarding the distributions packaged.
+        # This allows Metaflow to "fake" distribution information when packaged
+        self._distmetainfo = {}  # type: Dict[str, Dict[str, str]]
+
+        # Maps an absolute path on the filesystem to the path of the file in the
+        # archive.
+        self._files = {}  # type: Dict[str, str]
+        self._files_from_modules = {}  # type: Dict[str, str]
+
+        self._other_files = {}  # type: Dict[str, str]
+        self._other_content = {}  # type: Dict[str, bytes]
+
+        debug.package_exec(f"Used system modules found: {str(self._modules)}")
+
+        # Populate with files from the third party modules
+        for k, v in self._modules.items():
+            self._files_from_modules.update(self._module_files(k, v.root_paths))
+
+        # Figure out the files to package for Metaflow and extensions
+        self._cached_metaflow_files = list(self._metaflow_distribution_files())
+        self._cached_metaflow_files.extend(list(self._metaflow_extension_files()))
+
+    def create_mfcontent_info(self) -> Dict[str, Any]:
+        return {"version": 1, "module_files": list(self._files_from_modules.values())}
+
+    def get_excluded_tl_entries(self) -> List[str]:
+        """
+        When packaging Metaflow from within an executing Metaflow flow, we need to
+        exclude the files that are inserted by this content from being packaged (possibly).
+
+        Use this function to return these files or top-level directories.
+
+        Returns
+        -------
+        List[str]
+            Files or directories to exclude
+        """
+        return [self._code_dir, self._other_dir]
+
+    def content_names(
+        self, content_types: Optional[int] = None
+    ) -> Generator[Tuple[str, str], None, None]:
+        """
+        Detailed list of the content of this MetaflowCodeContent. This will list all files
+        (or non files -- for the INFO or CONFIG data for example) present in the archive.
+
+        Parameters
+        ----------
+        content_types : Optional[int]
+            The type of content to get the names of. If None, all content is returned.
+
+        Yields
+        ------
+        Generator[Tuple[str, str], None, None]
+            Path on the filesystem and the name in the archive
+        """
+        yield from self._content(content_types, generate_value=False)
+
+    def contents(
+        self, content_types: Optional[int] = None
+    ) -> Generator[Tuple[Union[bytes, str], str], None, None]:
+        """
+        Very similar to content_names but returns the content of the non-files
+        as well as bytes. For files, identical output as content_names
+
+        Parameters
+        ----------
+        content_types : Optional[int]
+            The type of content to get the content of. If None, all content is returned.
+
+        Yields
+        ------
+        Generator[Tuple[Union[str, bytes], str], None, None]
+            Content of the MF content
+        """
+        yield from self._content(content_types, generate_value=True)
+
+    def show(self) -> str:
+        """
+        Returns a more human-readable string representation of the content of this
+        MetaflowCodeContent. This will not, for example, list all files but summarize what
+        is included at a more high level.
+
+        Returns
+        -------
+        str
+            A human-readable string representation of the content of this MetaflowCodeContent
+        """
+        all_user_step_decorators = {}
+        for k, v in UserStepDecoratorMeta.all_decorators().items():
+            all_user_step_decorators.setdefault(
+                getattr(v, "_original_module", v.__module__), []
+            ).append(k)
+
+        all_user_flow_decorators = {}
+        for k, v in FlowMutatorMeta.all_decorators().items():
+            all_user_flow_decorators.setdefault(
+                getattr(v, "_original_module", v.__module__), []
+            ).append(k)
+
+        result = []
+        if self._metaflow_version:
+            result.append(f"\nMetaflow version: {self._metaflow_version}")
+        ext_info = extension_info()
+        if ext_info["installed"]:
+            result.append("\nMetaflow extensions packaged:")
+            for ext_name, ext_info in ext_info["installed"].items():
+                result.append(
+                    f"  - {ext_name} ({ext_info['extension_name']}) @ {ext_info['dist_version']}"
+                )
+
+        if self._modules:
+            mf_modules = []
+            other_modules = []
+            for name, info in self._modules.items():
+                if info.metaflow_module:
+                    mf_modules.append(f"  - {name} @ {', '.join(info.root_paths)}")
+                    module_user_step_decorators = [
+                        ", ".join(v)
+                        for k, v in all_user_step_decorators.items()
+                        if k == info.name or k.startswith(info.name + ".")
+                    ]
+                    module_user_flow_decorators = [
+                        ", ".join(v)
+                        for k, v in all_user_flow_decorators.items()
+                        if k == info.name or k.startswith(info.name + ".")
+                    ]
+                    if module_user_step_decorators:
+                        mf_modules.append(
+                            f"    - Provides step decorators: {', '.join(module_user_step_decorators)}"
+                        )
+                    if module_user_flow_decorators:
+                        mf_modules.append(
+                            f"    - Provides flow mutators: {', '.join(module_user_flow_decorators)}"
+                        )
+                else:
+                    other_modules.append(f"  - {name} @ {', '.join(info.root_paths)}")
+            if mf_modules:
+                result.append("\nMetaflow modules:")
+                result.extend(mf_modules)
+            if other_modules:
+                result.append("\nNon-Metaflow packaged modules:")
+                result.extend(other_modules)
+
+        return "\n".join(result)
+
+    def add_info(self, info: Dict[str, Any]) -> None:
+        """
+        Add the content of the INFO file to the Metaflow content
+
+        Parameters
+        ----------
+        info: Dict[str, Any]
+            The content of the INFO file
+        """
+        info_file_path = os.path.join(self._other_dir, self._info_file)
+        if info_file_path in self._other_content:
+            raise MetaflowException("INFO file already present in the MF environment")
+        self._other_content[info_file_path] = json.dumps(info).encode("utf-8")
+
+    def add_config(self, config: Dict[str, Any]) -> None:
+        """
+        Add the content of the CONFIG file to the Metaflow content
+
+        Parameters
+        ----------
+        config: Dict[str, Any]
+            The content of the CONFIG file
+        """
+        config_file_path = os.path.join(self._other_dir, self._config_file)
+        if config_file_path in self._other_content:
+            raise MetaflowException("CONFIG file already present in the MF environment")
+        self._other_content[config_file_path] = json.dumps(config).encode("utf-8")
+
+    def add_module(self, module: ModuleType) -> None:
+        """
+        Add a python module to the Metaflow content
+
+        Parameters
+        ----------
+        module_path: ModuleType
+            The module to add
+        """
+        name = module.__name__
+        debug.package_exec(f"Adding module {name} to the MF content")
+        # If the module is a single file, we handle this here by looking at __file__
+        # which will point to the single file. If it is an actual module, __path__
+        # will contain the path(s) to the module
+        self._modules[name] = _ModuleInfo(
+            name,
+            set(
+                Path(p).resolve().as_posix()
+                for p in getattr(module, "__path__", [module.__file__])
+            ),
+            module,
+            False,  # This is not a Metaflow module (added by the user manually)
+        )
+        self._files_from_modules.update(
+            self._module_files(name, self._modules[name].root_paths)
+        )
+
+    def add_code_file(self, file_path: str, file_name: str) -> None:
+        """
+        Add a code file to the Metaflow content
+
+        Parameters
+        ----------
+        file_path: str
+            The path to the code file to add (on the filesystem)
+        file_name: str
+            The path in the archive to add the code file to
+        """
+        file_path = os.path.realpath(file_path)
+        debug.package_exec(
+            f"Adding code file {file_path} as {file_name} to the MF content"
+        )
+
+        if file_path in self._files and self._files[file_path] != os.path.join(
+            self._code_dir, file_name.lstrip("/")
+        ):
+            raise MetaflowException(
+                "File '%s' is already present in the MF content with a different name: '%s'"
+                % (file_path, self._files[file_path])
+            )
+        self._files[file_path] = os.path.join(self._code_dir, file_name.lstrip("/"))
+
+    def add_other_file(self, file_path: str, file_name: str) -> None:
+        """
+        Add a non-python file to the Metaflow content
+
+        Parameters
+        ----------
+        file_path: str
+            The path to the file to add (on the filesystem)
+        file_name: str
+            The path in the archive to add the file to
+        """
+        file_path = os.path.realpath(file_path)
+        debug.package_exec(
+            f"Adding other file {file_path} as {file_name} to the MF content"
+        )
+        if file_path in self._other_files and self._other_files[
+            file_path
+        ] != os.path.join(self._other_dir, file_name.lstrip("/")):
+            raise MetaflowException(
+                "File %s is already present in the MF content with a different name: %s"
+                % (file_path, self._other_files[file_path])
+            )
+        self._other_files[file_path] = os.path.join(
+            self._other_dir, file_name.lstrip("/")
+        )
+
+    def _content(
+        self, content_types: Optional[int] = None, generate_value: bool = False
+    ) -> Generator[Tuple[Union[str, bytes], str], None, None]:
+        from ..package import MetaflowPackage  # Prevent circular dependency
+
+        if content_types is None:
+            content_types = ContentType.ALL_CONTENT.value
+
+        if content_types & ContentType.CODE_CONTENT.value:
+            yield from self._cached_metaflow_files
+            yield from self._files.items()
+        if content_types & ContentType.MODULE_CONTENT.value:
+            yield from self._files_from_modules.items()
+        if content_types & ContentType.OTHER_CONTENT.value:
+            yield from self._other_files.items()
+            if generate_value:
+                for k, v in self._other_content.items():
+                    yield v, k
+                # Include the distribution file too
+                yield json.dumps(self._distmetainfo).encode("utf-8"), os.path.join(
+                    self._other_dir, self._dist_info_file
+                )
+                yield json.dumps(self.create_mfcontent_info()).encode(
+                    "utf-8"
+                ), os.path.join(self._code_dir, MFCONTENT_MARKER)
+            else:
+                for k in self._other_content.keys():
+                    yield "" % (os.path.basename(k)), k
+                yield "" % (
+                    os.path.basename(self._dist_info_file)
+                ), os.path.join(self._other_dir, self._dist_info_file)
+                yield "" % MFCONTENT_MARKER, os.path.join(
+                    self._code_dir, MFCONTENT_MARKER
+                )
+
+    def _metaflow_distribution_files(self) -> Generator[Tuple[str, str], None, None]:
+        debug.package_exec("Including Metaflow from '%s'" % self._metaflow_root)
+        for path_tuple in walk(
+            os.path.join(self._metaflow_root, "metaflow"),
+            exclude_hidden=False,
+            file_filter=suffix_filter(self.METAFLOW_SUFFIXES_LIST),
+        ):
+            yield path_tuple[0], os.path.join(self._code_dir, path_tuple[1])
+
+    def _metaflow_extension_files(self) -> Generator[Tuple[str, str], None, None]:
+        # Metaflow extensions; for now, we package *all* extensions but this may change
+        # at a later date; it is possible to call `package_mfext_package` instead of
+        # `package_mfext_all` but in that case, make sure to also add a
+        # metaflow_extensions/__init__.py file to properly "close" the metaflow_extensions
+        # package and prevent other extensions from being loaded that may be
+        # present in the rest of the system
+        for path_tuple in package_mfext_all():
+            yield path_tuple[0], os.path.join(self._code_dir, path_tuple[1])
+        if debug.package:
+            ext_info = package_mfext_all_descriptions()
+            ext_info = {
+                k: {k1: v1 for k1, v1 in v.items() if k1 in ("root_paths",)}
+                for k, v in ext_info.items()
+            }
+            debug.package_exec(f"Metaflow extensions packaged: {ext_info}")
+
+    def _module_files(
+        self, name: str, paths: Set[str]
+    ) -> Generator[Tuple[str, str], None, None]:
+        debug.package_exec(
+            "    Looking for distributions for module %s in %s" % (name, paths)
+        )
+        paths = set(paths)  # Do not modify external paths
+        has_init = False
+        distributions = modules_to_distributions().get(name)
+        prefix_parts = tuple(name.split("."))
+
+        seen_distributions = set()
+        if distributions:
+            for dist in distributions:
+                dist_name = dist.metadata["Name"]  # dist.name not always present
+                if dist_name in seen_distributions:
+                    continue
+                # For some reason, sometimes the same distribution appears twice. We
+                # don't need to process twice.
+                seen_distributions.add(dist_name)
+                debug.package_exec(
+                    "    Including distribution '%s' for module '%s'"
+                    % (dist_name, name)
+                )
+                dist_root = str(dist.locate_file(name))
+                if dist_root not in paths:
+                    # This is an error because it means that this distribution is
+                    # not contributing to the module.
+                    raise RuntimeError(
+                        "Distribution '%s' is not contributing to module '%s' as "
+                        "expected (got '%s' when expected one of %s)"
+                        % (dist.metadata["Name"], name, dist_root, paths)
+                    )
+                paths.discard(dist_root)
+                if dist_name not in self._distmetainfo:
+                    # Possible that a distribution contributes to multiple modules
+                    self._distmetainfo[dist_name] = {
+                        # We can add more if needed but these are likely the most
+                        # useful (captures, name, version, etc and files which can
+                        # be used to find non-python files in the distribution).
+                        "METADATA": dist.read_text("METADATA") or "",
+                        "RECORD": dist.read_text("RECORD") or "",
+                    }
+                for file in dist.files or []:
+                    # Skip files that do not belong to this module (distribution may
+                    # provide multiple modules)
+                    if file.parts[: len(prefix_parts)] != prefix_parts:
+                        continue
+                    if file.parts[len(prefix_parts)] == "__init__.py":
+                        has_init = True
+                    yield str(
+                        dist.locate_file(file).resolve().as_posix()
+                    ), os.path.join(self._code_dir, *prefix_parts, *file.parts[1:])
+
+        # Now if there are more paths left in paths, it means there is a non-distribution
+        # component to this package which we also include.
+        debug.package_exec(
+            "    Looking for non-distribution files for module '%s' in %s"
+            % (name, paths)
+        )
+        for path in paths:
+            if not Path(path).is_dir():
+                # Single file for the module -- this will be something like .py
+                yield path, os.path.join(
+                    self._code_dir, *prefix_parts[:-1], f"{prefix_parts[-1]}.py"
+                )
+                has_init = True
+            else:
+                for root, _, files in os.walk(path):
+                    for file in files:
+                        if any(file.endswith(x) for x in EXT_EXCLUDE_SUFFIXES):
+                            continue
+                        rel_path = os.path.relpath(os.path.join(root, file), path)
+                        if rel_path == "__init__.py":
+                            has_init = True
+                        yield os.path.join(root, file), os.path.join(
+                            self._code_dir,
+                            name,
+                            rel_path,
+                        )
+        # We now include an empty __init__.py file to close the module and prevent
+        # leaks from possible namespace packages
+        if not has_init:
+            yield os.path.join(
+                self._metaflow_root, "metaflow", "extension_support", "_empty_file.py"
+            ), os.path.join(self._code_dir, *prefix_parts, "__init__.py")
diff --git a/metaflow/parameters.py b/metaflow/parameters.py
index a32a6c2e475..d33e917bd4d 100644
--- a/metaflow/parameters.py
+++ b/metaflow/parameters.py
@@ -1,5 +1,9 @@
 import json
-from typing import Any, Callable, Dict, NamedTuple, Optional, Type, Union
+
+from contextlib import contextmanager
+from threading import local
+
+from typing import Any, Callable, Dict, NamedTuple, Optional, TYPE_CHECKING, Type, Union
 
 from metaflow._vendor import click
 
@@ -10,6 +14,9 @@
     MetaflowException,
 )
 
+if TYPE_CHECKING:
+    from .user_configs.config_parameters import ConfigValue
+
 try:
     # Python2
     strtype = basestring
@@ -28,17 +35,57 @@
         ("parameter_name", str),
         ("logger", Callable[..., None]),
         ("ds_type", str),
+        ("configs", Optional["ConfigValue"]),
     ],
 )
 
-# currently we execute only one flow per process, so we can treat
-# Parameters globally. If this was to change, it should/might be
-# possible to move these globals in a FlowSpec (instance) specific
-# closure.
-parameters = []
+
+# When we launch a flow, we need to know the parameters so we can
+# attach them with add_custom_parameters to commands. This used to be a global
+# but causes problems when multiple FlowSpec are loaded (as can happen when using
+# the Runner or just if multiple Flows are defined and instantiated). To minimally
+# impact code, we now create the CLI with a thread local value of the FlowSpec
+# that is being used to create the CLI which enables us to extract the parameters
+# directly from the Flow.
+current_flow = local()
+
+
+@contextmanager
+def flow_context(flow_cls):
+    """
+    Context manager to set the current flow for the thread. This is used
+    to extract the parameters from the FlowSpec that is being used to create
+    the CLI.
+    """
+    # Use a stack because with the runner this can get called multiple times in
+    # a nested fashion
+    current_flow.flow_cls_stack = getattr(current_flow, "flow_cls_stack", [])
+    current_flow.flow_cls_stack.insert(0, flow_cls)
+    current_flow.flow_cls = current_flow.flow_cls_stack[0]
+    try:
+        yield
+    finally:
+        current_flow.flow_cls_stack = current_flow.flow_cls_stack[1:]
+        if len(current_flow.flow_cls_stack) == 0:
+            del current_flow.flow_cls_stack
+            del current_flow.flow_cls
+        else:
+            current_flow.flow_cls = current_flow.flow_cls_stack[0]
+
+
 context_proto = None
 
 
+def replace_flow_context(flow_cls):
+    """
+    Replace the current flow context with a new flow class. This is used
+    when we change the current flow class after having run user configuration functions
+    """
+    current_flow.flow_cls_stack = current_flow.flow_cls_stack[1:]
+    current_flow.flow_cls_stack.insert(0, flow_cls)
+    current_flow.flow_cls = current_flow.flow_cls_stack[0]
+
+
 class JSONTypeClass(click.ParamType):
     name = "JSON"
 
@@ -77,15 +124,14 @@ def __init__(
         return_str=True,
         print_representation=None,
     ):
-
         self.fun = fun
         self.field = field
         self.parameter_name = parameter_name
         self.parameter_type = parameter_type
         self.return_str = return_str
-        self.print_representation = (
-            self.user_print_representation
-        ) = print_representation
+        self.print_representation = self.user_print_representation = (
+            print_representation
+        )
         if self.print_representation is None:
             self.print_representation = str(self.fun)
 
@@ -119,6 +165,7 @@ def __call__(self, deploy_time=False):
             return self._check_type(val, deploy_time)
 
     def _check_type(self, val, deploy_time):
+
         # it is easy to introduce a deploy-time function that accidentally
         # returns a value whose type is not compatible with what is defined
         # in Parameter. Let's catch those mistakes early here, instead of
@@ -126,7 +173,7 @@ def _check_type(self, val, deploy_time):
 
         # note: this doesn't work with long in Python2 or types defined as
         # click types, e.g. click.INT
-        TYPES = {bool: "bool", int: "int", float: "float", list: "list"}
+        TYPES = {bool: "bool", int: "int", float: "float", list: "list", dict: "dict"}
 
         msg = (
             "The value returned by the deploy-time function for "
@@ -134,7 +181,12 @@ def _check_type(self, val, deploy_time):
             % (self.parameter_name, self.field)
         )
 
-        if self.parameter_type in TYPES:
+        if isinstance(self.parameter_type, list):
+            if not any(isinstance(val, x) for x in self.parameter_type):
+                msg += "Expected one of the following %s." % TYPES[self.parameter_type]
+                raise ParameterFieldTypeMismatch(msg)
+            return str(val) if self.return_str else val
+        elif self.parameter_type in TYPES:
             if type(val) != self.parameter_type:
                 msg += "Expected a %s." % TYPES[self.parameter_type]
                 raise ParameterFieldTypeMismatch(msg)
@@ -172,12 +224,18 @@ def __repr__(self):
 def deploy_time_eval(value):
     if isinstance(value, DeployTimeField):
         return value(deploy_time=True)
+    elif isinstance(value, DelayedEvaluationParameter):
+        return value(return_str=True)
     else:
         return value
 
 
 # this is called by cli.main
-def set_parameter_context(flow_name, echo, datastore):
+def set_parameter_context(flow_name, echo, datastore, configs):
+    from .user_configs.config_parameters import (
+        ConfigValue,
+    )  # Prevent circular dependency
+
     global context_proto
     context_proto = ParameterContext(
         flow_name=flow_name,
@@ -185,6 +243,7 @@ def set_parameter_context(flow_name, echo, datastore):
         parameter_name=None,
         logger=echo,
         ds_type=datastore.TYPE,
+        configs=ConfigValue(dict(configs)),
     )
 
 
@@ -241,24 +300,32 @@ class MyFlow(FlowSpec):
     ----------
     name : str
         User-visible parameter name.
-    default : str or float or int or bool or `JSONType` or a function.
+    default : Union[str, float, int, bool, Dict[str, Any],
+                Callable[
+                    [ParameterContext], Union[str, float, int, bool, Dict[str, Any]]
+                ],
+            ], optional, default None
         Default value for the parameter. Use a special `JSONType` class to
         indicate that the value must be a valid JSON object. A function
         implies that the parameter corresponds to a *deploy-time parameter*.
         The type of the default value is used as the parameter `type`.
-    type : Type, default: None
+    type : Type, default None
         If `default` is not specified, define the parameter type. Specify
         one of `str`, `float`, `int`, `bool`, or `JSONType`. If None, defaults
         to the type of `default` or `str` if none specified.
-    help : str, optional
+    help : str, optional, default None
         Help text to show in `run --help`.
-    required : bool, default: False
-        Require that the user specified a value for the parameter.
-        `required=True` implies that the `default` is not used.
-    show_default : bool, default: True
-        If True, show the default value in the help text.
+    required : bool, optional, default None
+        Require that the user specifies a value for the parameter. Note that if
+        a default is provide, the required flag is ignored.
+        A value of None is equivalent to False.
+    show_default : bool, optional, default None
+        If True, show the default value in the help text. A value of None is equivalent
+        to True.
     """
 
+    IS_CONFIG_PARAMETER = False
+
     def __init__(
         self,
         name: str,
@@ -269,62 +336,107 @@ def __init__(
                 int,
                 bool,
                 Dict[str, Any],
-                Callable[[], Union[str, float, int, bool, Dict[str, Any]]],
+                Callable[
+                    [ParameterContext], Union[str, float, int, bool, Dict[str, Any]]
+                ],
             ]
         ] = None,
         type: Optional[
             Union[Type[str], Type[float], Type[int], Type[bool], JSONTypeClass]
         ] = None,
         help: Optional[str] = None,
-        required: bool = False,
-        show_default: bool = True,
+        required: Optional[bool] = None,
+        show_default: Optional[bool] = None,
         **kwargs: Dict[str, Any]
     ):
         self.name = name
         self.kwargs = kwargs
-        for k, v in {
+        self._override_kwargs = {
             "default": default,
             "type": type,
             "help": help,
             "required": required,
             "show_default": show_default,
-        }.items():
-            if v is not None:
-                self.kwargs[k] = v
+        }
+
+    def init(self, ignore_errors=False):
+        # Prevent circular import
+        from .user_configs.config_parameters import (
+            resolve_delayed_evaluator,
+            unpack_delayed_evaluator,
+        )
+
+        # Resolve any value from configurations
+        self.kwargs, _ = unpack_delayed_evaluator(
+            self.kwargs, ignore_errors=ignore_errors
+        )
+        # Do it one item at a time so errors are ignored at that level (as opposed to
+        # at the entire kwargs level)
+        self.kwargs = {
+            k: resolve_delayed_evaluator(v, ignore_errors=ignore_errors, to_dict=True)
+            for k, v in self.kwargs.items()
+        }
+
+        # This was the behavior before configs: values specified in args would override
+        # stuff in kwargs which is what we implement here as well
+        for key, value in self._override_kwargs.items():
+            if value is not None:
+                self.kwargs[key] = resolve_delayed_evaluator(
+                    value, ignore_errors=ignore_errors, to_dict=True
+                )
+        # Set two default values if no-one specified them
+        self.kwargs.setdefault("required", False)
+        self.kwargs.setdefault("show_default", True)
+
+        # Continue processing kwargs free of any configuration values :)
 
         # TODO: check that the type is one of the supported types
-        param_type = self.kwargs["type"] = self._get_type(kwargs)
+        param_type = self.kwargs["type"] = self._get_type(self.kwargs)
+
         reserved_params = [
             "params",
             "with",
-            "max-num-splits",
-            "max-workers",
             "tag",
-            "run-id-file",
             "namespace",
+            "obj",
+            "tags",
+            "decospecs",
+            "run-id-file",
+            "max-num-splits",
+            "max-workers",
+            "max-log-size",
+            "user-namespace",
         ]
+        reserved = set(reserved_params)
+        # due to the way Click maps cli args to function args we also want to add underscored params to the set
+        for param in reserved_params:
+            reserved.add(param.replace("-", "_"))
 
-        if self.name in reserved_params:
+        if self.name in reserved:
             raise MetaflowException(
                 "Parameter name '%s' is a reserved "
                 "word. Please use a different "
-                "name for your parameter." % (name)
+                "name for your parameter." % (self.name)
             )
 
         # make sure the user is not trying to pass a function in one of the
         # fields that don't support function-values yet
         for field in ("show_default", "separator", "required"):
-            if callable(kwargs.get(field)):
+            if callable(self.kwargs.get(field)):
                 raise MetaflowException(
                     "Parameter *%s*: Field '%s' cannot "
-                    "have a function as its value" % (name, field)
+                    "have a function as its value" % (self.name, field)
                 )
 
         # default can be defined as a function
         default_field = self.kwargs.get("default")
         if callable(default_field) and not isinstance(default_field, DeployTimeField):
             self.kwargs["default"] = DeployTimeField(
-                name, param_type, "default", self.kwargs["default"], return_str=True
+                self.name,
+                param_type,
+                "default",
+                self.kwargs["default"],
+                return_str=True,
             )
 
         # note that separator doesn't work with DeployTimeFields unless you
@@ -333,9 +445,14 @@ def __init__(
         if self.separator and not self.is_string_type:
             raise MetaflowException(
                 "Parameter *%s*: Separator is only allowed "
-                "for string parameters." % name
+                "for string parameters." % self.name
             )
-        parameters.append(self)
+
+    def __repr__(self):
+        return "metaflow.Parameter(name=%s, kwargs=%s)" % (self.name, self.kwargs)
+
+    def __str__(self):
+        return "metaflow.Parameter(name=%s, kwargs=%s)" % (self.name, self.kwargs)
 
     def option_kwargs(self, deploy_mode):
         kwargs = self.kwargs
@@ -378,11 +495,21 @@ def add_custom_parameters(deploy_mode=False):
     # deploy_mode determines whether deploy-time functions should or should
     # not be evaluated for this command
     def wrapper(cmd):
+        cmd.has_flow_params = True
         # Iterate over parameters in reverse order so cmd.params lists options
         # in the order they are defined in the FlowSpec subclass
+        flow_cls = getattr(current_flow, "flow_cls", None)
+        if flow_cls is None:
+            return cmd
+        parameters = [
+            p for _, p in flow_cls._get_parameters() if not p.IS_CONFIG_PARAMETER
+        ]
         for arg in parameters[::-1]:
             kwargs = arg.option_kwargs(deploy_mode)
             cmd.params.insert(0, click.Option(("--" + arg.name,), **kwargs))
         return cmd
 
     return wrapper
+
+
+JSONType = JSONTypeClass()
diff --git a/metaflow/plugins/__init__.py b/metaflow/plugins/__init__.py
index 06572f6776f..bbab35885e8 100644
--- a/metaflow/plugins/__init__.py
+++ b/metaflow/plugins/__init__.py
@@ -1,3 +1,5 @@
+import sys
+
 from metaflow.extension_support.plugins import (
     merge_lists,
     process_plugins,
@@ -14,8 +16,15 @@
     ("argo-workflows", ".argo.argo_workflows_cli.cli"),
     ("card", ".cards.card_cli.cli"),
     ("tag", ".tag_cli.cli"),
+    ("spot-metadata", ".kubernetes.spot_metadata_cli.cli"),
+    ("logs", ".logs_cli.cli"),
 ]
 
+# Add additional commands to the runner here
+# These will be accessed using Runner().()
+RUNNER_CLIS_DESC = []
+
+
 from .test_unbounded_foreach_decorator import InternalTestUnboundedForeachInput
 
 # Add new step decorators here
@@ -41,10 +50,11 @@
         "unbounded_test_foreach_internal",
         ".test_unbounded_foreach_decorator.InternalTestUnboundedForeachDecorator",
     ),
-    ("conda", ".conda.conda_step_decorator.CondaStepDecorator"),
     ("card", ".cards.card_decorator.CardDecorator"),
     ("pytorch_parallel", ".frameworks.pytorch.PytorchParallelDecorator"),
     ("airflow_internal", ".airflow.airflow_decorator.AirflowInternalDecorator"),
+    ("pypi", ".pypi.pypi_decorator.PyPIStepDecorator"),
+    ("conda", ".pypi.conda_decorator.CondaStepDecorator"),
 ]
 
 # Add new flow decorators here
@@ -53,20 +63,26 @@
 # careful with the choice of name though - they become top-level
 # imports from the metaflow package.
 FLOW_DECORATORS_DESC = [
-    ("conda_base", ".conda.conda_flow_decorator.CondaFlowDecorator"),
     ("schedule", ".aws.step_functions.schedule_decorator.ScheduleDecorator"),
     ("project", ".project_decorator.ProjectDecorator"),
     ("trigger", ".events_decorator.TriggerDecorator"),
     ("trigger_on_finish", ".events_decorator.TriggerOnFinishDecorator"),
+    ("pypi_base", ".pypi.pypi_decorator.PyPIFlowDecorator"),
+    ("conda_base", ".pypi.conda_decorator.CondaFlowDecorator"),
+    ("exit_hook", ".exit_hook.exit_hook_decorator.ExitHookDecorator"),
 ]
 
 # Add environments here
-ENVIRONMENTS_DESC = [("conda", ".conda.conda_environment.CondaEnvironment")]
+ENVIRONMENTS_DESC = [
+    ("conda", ".pypi.conda_environment.CondaEnvironment"),
+    ("pypi", ".pypi.pypi_environment.PyPIEnvironment"),
+    ("uv", ".uv.uv_environment.UVEnvironment"),
+]
 
 # Add metadata providers here
 METADATA_PROVIDERS_DESC = [
-    ("service", ".metadata.service.ServiceMetadataProvider"),
-    ("local", ".metadata.local.LocalMetadataProvider"),
+    ("service", ".metadata_providers.service.ServiceMetadataProvider"),
+    ("local", ".metadata_providers.local.LocalMetadataProvider"),
 ]
 
 # Add datastore here
@@ -77,13 +93,25 @@
     ("gs", ".datastores.gs_storage.GSStorage"),
 ]
 
+# Dataclients are used for IncludeFile
+DATACLIENTS_DESC = [
+    ("local", ".datatools.Local"),
+    ("s3", ".datatools.S3"),
+    ("azure", ".azure.includefile_support.Azure"),
+    ("gs", ".gcp.includefile_support.GS"),
+]
+
 # Add non monitoring/logging sidecars here
 SIDECARS_DESC = [
     (
         "save_logs_periodically",
         "..mflog.save_logs_periodically.SaveLogsPeriodicallySidecar",
     ),
-    ("heartbeat", "metaflow.metadata.heartbeat.MetadataHeartBeat"),
+    (
+        "spot_termination_monitor",
+        ".kubernetes.spot_monitor_sidecar.SpotTerminationMonitorSidecar",
+    ),
+    ("heartbeat", "metaflow.metadata_provider.heartbeat.MetadataHeartBeat"),
 ]
 
 # Add logging sidecars here
@@ -115,6 +143,36 @@
         "aws-secrets-manager",
         ".aws.secrets_manager.aws_secrets_manager_secrets_provider.AwsSecretsManagerSecretsProvider",
     ),
+    (
+        "gcp-secret-manager",
+        ".gcp.gcp_secret_manager_secrets_provider.GcpSecretManagerSecretsProvider",
+    ),
+    (
+        "az-key-vault",
+        ".azure.azure_secret_manager_secrets_provider.AzureKeyVaultSecretsProvider",
+    ),
+]
+
+GCP_CLIENT_PROVIDERS_DESC = [
+    ("gcp-default", ".gcp.gs_storage_client_factory.GcpDefaultClientProvider")
+]
+
+AZURE_CLIENT_PROVIDERS_DESC = [
+    ("azure-default", ".azure.azure_credential.AzureDefaultClientProvider")
+]
+
+DEPLOYER_IMPL_PROVIDERS_DESC = [
+    ("argo-workflows", ".argo.argo_workflows_deployer.ArgoWorkflowsDeployer"),
+    (
+        "step-functions",
+        ".aws.step_functions.step_functions_deployer.StepFunctionsDeployer",
+    ),
+]
+
+TL_PLUGINS_DESC = [
+    ("requirements_txt_parser", ".pypi.parsers.requirements_txt_parser"),
+    ("pyproject_toml_parser", ".pypi.parsers.pyproject_toml_parser"),
+    ("conda_environment_yml_parser", ".pypi.parsers.conda_environment_yml_parser"),
 ]
 
 process_plugins(globals())
@@ -124,11 +182,24 @@ def get_plugin_cli():
     return resolve_plugins("cli")
 
 
+def get_plugin_cli_path():
+    return resolve_plugins("cli", path_only=True)
+
+
+def get_runner_cli():
+    return resolve_plugins("runner_cli")
+
+
+def get_runner_cli_path():
+    return resolve_plugins("runner_cli", path_only=True)
+
+
 STEP_DECORATORS = resolve_plugins("step_decorator")
 FLOW_DECORATORS = resolve_plugins("flow_decorator")
 ENVIRONMENTS = resolve_plugins("environment")
 METADATA_PROVIDERS = resolve_plugins("metadata_provider")
 DATASTORES = resolve_plugins("datastore")
+DATACLIENTS = resolve_plugins("dataclient")
 SIDECARS = resolve_plugins("sidecar")
 LOGGING_SIDECARS = resolve_plugins("logging_sidecar")
 MONITOR_SIDECARS = resolve_plugins("monitor_sidecar")
@@ -138,6 +209,13 @@ def get_plugin_cli():
 
 AWS_CLIENT_PROVIDERS = resolve_plugins("aws_client_provider")
 SECRETS_PROVIDERS = resolve_plugins("secrets_provider")
+AZURE_CLIENT_PROVIDERS = resolve_plugins("azure_client_provider")
+GCP_CLIENT_PROVIDERS = resolve_plugins("gcp_client_provider")
+
+if sys.version_info >= (3, 7):
+    DEPLOYER_IMPL_PROVIDERS = resolve_plugins("deployer_impl_provider")
+
+TL_PLUGINS = resolve_plugins("tl_plugin")
 
 from .cards.card_modules import MF_EXTERNAL_CARDS
 
@@ -161,6 +239,9 @@ def get_plugin_cli():
     TestNonEditableCard,
     TestPathSpecCard,
     TestTimeoutCard,
+    TestRefreshCard,
+    TestRefreshComponentCard,
+    TestImageCard,
 )
 
 CARDS = [
@@ -177,5 +258,14 @@ def get_plugin_cli():
     TestNonEditableCard,
     BlankCard,
     DefaultCardJSON,
+    TestRefreshCard,
+    TestRefreshComponentCard,
+    TestImageCard,
 ]
 merge_lists(CARDS, MF_EXTERNAL_CARDS, "type")
+
+
+def _import_tl_plugins(globals_dict):
+
+    for name, p in TL_PLUGINS.items():
+        globals_dict[name] = p
diff --git a/metaflow/plugins/airflow/airflow.py b/metaflow/plugins/airflow/airflow.py
index 8c5c759e37b..a2c39899599 100644
--- a/metaflow/plugins/airflow/airflow.py
+++ b/metaflow/plugins/airflow/airflow.py
@@ -17,6 +17,7 @@
     AIRFLOW_KUBERNETES_KUBECONFIG_FILE,
     AIRFLOW_KUBERNETES_STARTUP_TIMEOUT_SECONDS,
     AWS_SECRETS_MANAGER_DEFAULT_REGION,
+    GCP_SECRET_MANAGER_PREFIX,
     AZURE_STORAGE_BLOB_SERVICE_ENDPOINT,
     CARD_AZUREROOT,
     CARD_GSROOT,
@@ -31,7 +32,11 @@
     S3_ENDPOINT_URL,
     SERVICE_HEADERS,
     SERVICE_INTERNAL_URL,
+    AZURE_KEY_VAULT_PREFIX,
 )
+
+from metaflow.metaflow_config_funcs import config_values
+
 from metaflow.parameters import (
     DelayedEvaluationParameter,
     JSONTypeClass,
@@ -41,6 +46,7 @@
 # TODO: Move chevron to _vendor
 from metaflow.plugins.cards.card_modules import chevron
 from metaflow.plugins.kubernetes.kubernetes import Kubernetes
+from metaflow.plugins.kubernetes.kube_utils import qos_requests_and_limits
 from metaflow.plugins.timeout_decorator import get_run_time_limit_for_task
 from metaflow.util import compress_list, dict_to_cli_options, get_username
 
@@ -60,6 +66,7 @@ def __init__(
         name,
         graph,
         flow,
+        code_package_metadata,
         code_package_sha,
         code_package_url,
         metadata,
@@ -81,6 +88,7 @@ def __init__(
         self.name = name
         self.graph = graph
         self.flow = flow
+        self.code_package_metadata = code_package_metadata
         self.code_package_sha = code_package_sha
         self.code_package_url = code_package_url
         self.metadata = metadata
@@ -277,7 +285,7 @@ def _to_job(self, node):
         env_deco = [deco for deco in node.decorators if deco.name == "environment"]
         env = {}
         if env_deco:
-            env = env_deco[0].attributes["vars"]
+            env = env_deco[0].attributes["vars"].copy()
 
         # The below if/else block handles "input paths".
         # Input Paths help manage dataflow across the graph.
@@ -335,6 +343,16 @@ def _to_job(self, node):
         metaflow_version["production_token"] = self.production_token
         env["METAFLOW_VERSION"] = json.dumps(metaflow_version)
 
+        # Temporary passing of *some* environment variables. Do not rely on this
+        # mechanism as it will be removed in the near future
+        env.update(
+            {
+                k: v
+                for k, v in config_values()
+                if k.startswith("METAFLOW_CONDA_") or k.startswith("METAFLOW_DEBUG_")
+            }
+        )
+
         # Extract the k8s decorators for constructing the arguments of the K8s Pod Operator on Airflow.
         k8s_deco = [deco for deco in node.decorators if deco.name == "kubernetes"][0]
         user_code_retries, _ = self._get_retries(node)
@@ -356,6 +374,7 @@ def _to_job(self, node):
             # Technically the "user" is the stakeholder but should these labels be present.
         }
         additional_mf_variables = {
+            "METAFLOW_CODE_METADATA": self.code_package_metadata,
             "METAFLOW_CODE_SHA": self.code_package_sha,
             "METAFLOW_CODE_URL": self.code_package_url,
             "METAFLOW_CODE_DS": self.flow_datastore.TYPE,
@@ -384,17 +403,22 @@ def _to_job(self, node):
             "METAFLOW_CARD_GSROOT": CARD_GSROOT,
             "METAFLOW_S3_ENDPOINT_URL": S3_ENDPOINT_URL,
         }
-        env[
-            "METAFLOW_AZURE_STORAGE_BLOB_SERVICE_ENDPOINT"
-        ] = AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
+        env["METAFLOW_AZURE_STORAGE_BLOB_SERVICE_ENDPOINT"] = (
+            AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
+        )
         env["METAFLOW_DATASTORE_SYSROOT_AZURE"] = DATASTORE_SYSROOT_AZURE
         env["METAFLOW_CARD_AZUREROOT"] = CARD_AZUREROOT
         if DEFAULT_SECRETS_BACKEND_TYPE:
             env["METAFLOW_DEFAULT_SECRETS_BACKEND_TYPE"] = DEFAULT_SECRETS_BACKEND_TYPE
         if AWS_SECRETS_MANAGER_DEFAULT_REGION:
-            env[
-                "METAFLOW_AWS_SECRETS_MANAGER_DEFAULT_REGION"
-            ] = AWS_SECRETS_MANAGER_DEFAULT_REGION
+            env["METAFLOW_AWS_SECRETS_MANAGER_DEFAULT_REGION"] = (
+                AWS_SECRETS_MANAGER_DEFAULT_REGION
+            )
+        if GCP_SECRET_MANAGER_PREFIX:
+            env["METAFLOW_GCP_SECRET_MANAGER_PREFIX"] = GCP_SECRET_MANAGER_PREFIX
+
+        if AZURE_KEY_VAULT_PREFIX:
+            env["METAFLOW_AZURE_KEY_VAULT_PREFIX"] = AZURE_KEY_VAULT_PREFIX
 
         env.update(additional_mf_variables)
 
@@ -408,25 +432,25 @@ def _to_job(self, node):
             if k8s_deco.attributes["namespace"] is not None
             else "default"
         )
-
+        qos_requests, qos_limits = qos_requests_and_limits(
+            k8s_deco.attributes["qos"],
+            k8s_deco.attributes["cpu"],
+            k8s_deco.attributes["memory"],
+            k8s_deco.attributes["disk"],
+        )
         resources = dict(
-            requests={
-                "cpu": k8s_deco.attributes["cpu"],
-                "memory": "%sM" % str(k8s_deco.attributes["memory"]),
-                "ephemeral-storage": str(k8s_deco.attributes["disk"]),
-            }
+            requests=qos_requests,
+            limits={
+                **qos_limits,
+                **{
+                    "%s.com/gpu".lower()
+                    % k8s_deco.attributes["gpu_vendor"]: str(k8s_deco.attributes["gpu"])
+                    for k in [0]
+                    # Don't set GPU limits if gpu isn't specified.
+                    if k8s_deco.attributes["gpu"] is not None
+                },
+            },
         )
-        if k8s_deco.attributes["gpu"] is not None:
-            resources.update(
-                dict(
-                    limits={
-                        "%s.com/gpu".lower()
-                        % k8s_deco.attributes["gpu_vendor"]: str(
-                            k8s_deco.attributes["gpu"]
-                        )
-                    }
-                )
-            )
 
         annotations = {
             "metaflow/production_token": self.production_token,
@@ -455,6 +479,7 @@ def _to_job(self, node):
                 node.name,
                 AIRFLOW_MACROS.create_task_id(self.contains_foreach),
                 AIRFLOW_MACROS.ATTEMPT,
+                code_package_metadata=self.code_package_metadata,
                 code_package_url=self.code_package_url,
                 step_cmds=self._step_cli(
                     node, input_paths, self.code_package_url, user_code_retries
@@ -513,13 +538,13 @@ def _step_cli(self, node, paths, code_package_url, user_code_retries):
             "with": [
                 decorator.make_decorator_spec()
                 for decorator in node.decorators
-                if not decorator.statically_defined
+                if not decorator.statically_defined and decorator.inserted_by is None
             ]
         }
         # FlowDecorators can define their own top-level options. They are
         # responsible for adding their own top-level options and values through
         # the get_top_level_options() hook. See similar logic in runtime.py.
-        for deco in flow_decorators():
+        for deco in flow_decorators(self.flow):
             top_opts_dict.update(deco.get_top_level_options())
 
         top_opts = list(dict_to_cli_options(top_opts_dict))
@@ -633,6 +658,12 @@ def compile(self):
                 "to Airflow is not supported currently."
             )
 
+        if self.flow._flow_decorators.get("exit_hook"):
+            raise AirflowException(
+                "Deploying flows with the @exit_hook decorator "
+                "to Airflow is not currently supported."
+            )
+
         # Visit every node of the flow and recursively build the state machine.
         def _visit(node, workflow, exit_node=None):
             kube_deco = dict(
@@ -642,10 +673,15 @@ def _visit(node, workflow, exit_node=None):
             )
             if kube_deco:
                 # Only guard against use_tmpfs and tmpfs_size as these determine if tmpfs is enabled.
-                for attr in ["use_tmpfs", "tmpfs_size"]:
+                for attr in [
+                    "use_tmpfs",
+                    "tmpfs_size",
+                    "persistent_volume_claims",
+                    "image_pull_policy",
+                ]:
                     if kube_deco[attr]:
                         raise AirflowException(
-                            "tmpfs attribute *%s* is currently not supported on Airflow "
+                            "The decorator attribute *%s* is currently not supported on Airflow "
                             "for the @kubernetes decorator on step *%s*"
                             % (attr, node.name)
                         )
diff --git a/metaflow/plugins/airflow/airflow_cli.py b/metaflow/plugins/airflow/airflow_cli.py
index 55cedb1fcc4..6ba7e2253cb 100644
--- a/metaflow/plugins/airflow/airflow_cli.py
+++ b/metaflow/plugins/airflow/airflow_cli.py
@@ -7,6 +7,7 @@
 from metaflow import current, decorators
 from metaflow._vendor import click
 from metaflow.exception import MetaflowException, MetaflowInternalError
+from metaflow.metaflow_config import FEAT_ALWAYS_UPLOAD_CODE_PACKAGE
 from metaflow.package import MetaflowPackage
 from metaflow.plugins.aws.step_functions.production_token import (
     load_token,
@@ -24,7 +25,7 @@ class IncorrectProductionToken(MetaflowException):
     headline = "Incorrect production token"
 
 
-VALID_NAME = re.compile("[^a-zA-Z0-9_\-\.]")
+VALID_NAME = re.compile(r"[^a-zA-Z0-9_\-\.]")
 
 
 def resolve_token(
@@ -283,24 +284,35 @@ def make_flow(
 ):
     # Attach @kubernetes.
     decorators._attach_decorators(obj.flow, [KubernetesDecorator.name])
+    decorators._init(obj.flow)
 
     decorators._init_step_decorators(
         obj.flow, obj.graph, obj.environment, obj.flow_datastore, obj.logger
     )
-
+    obj.graph = obj.flow._graph
     # Save the code package in the flow datastore so that both user code and
     # metaflow package can be retrieved during workflow execution.
     obj.package = MetaflowPackage(
-        obj.flow, obj.environment, obj.echo, obj.package_suffixes
+        obj.flow,
+        obj.environment,
+        obj.echo,
+        suffixes=obj.package_suffixes,
+        flow_datastore=obj.flow_datastore if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE else None,
     )
-    package_url, package_sha = obj.flow_datastore.save_data(
-        [obj.package.blob], len_hint=1
-    )[0]
+    # This blocks until the package is created
+    if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE:
+        package_url = obj.package.package_url()
+        package_sha = obj.package.package_sha()
+    else:
+        package_url, package_sha = obj.flow_datastore.save_data(
+            [obj.package.blob], len_hint=1
+        )[0]
 
     return Airflow(
         dag_name,
         obj.graph,
         obj.flow,
+        obj.package.package_metadata,
         package_sha,
         package_url,
         obj.metadata,
@@ -389,6 +401,11 @@ def _validate_workflow(flow, graph, flow_datastore, metadata, workflow_timeout):
                 "Step *%s* is marked for execution on AWS Batch with Airflow which isn't currently supported."
                 % node.name
             )
+        if any([d.name == "slurm" for d in node.decorators]):
+            raise NotSupportedException(
+                "Step *%s* is marked for execution on Slurm with Airflow which isn't currently supported."
+                % node.name
+            )
     SUPPORTED_DATASTORES = ("azure", "s3", "gs")
     if flow_datastore.TYPE not in SUPPORTED_DATASTORES:
         raise AirflowException(
diff --git a/metaflow/plugins/airflow/airflow_decorator.py b/metaflow/plugins/airflow/airflow_decorator.py
index 11bdecaaa8b..01400867de8 100644
--- a/metaflow/plugins/airflow/airflow_decorator.py
+++ b/metaflow/plugins/airflow/airflow_decorator.py
@@ -1,7 +1,7 @@
 import json
 import os
 from metaflow.decorators import StepDecorator
-from metaflow.metadata import MetaDatum
+from metaflow.metadata_provider import MetaDatum
 
 from .airflow_utils import (
     TASK_ID_XCOM_KEY,
diff --git a/metaflow/plugins/airflow/airflow_utils.py b/metaflow/plugins/airflow/airflow_utils.py
index 39ce14b3ecc..d0574ad7401 100644
--- a/metaflow/plugins/airflow/airflow_utils.py
+++ b/metaflow/plugins/airflow/airflow_utils.py
@@ -567,9 +567,11 @@ def from_dict(cls, task_dict, flow_name=None, flow_contains_foreach=False):
         return cls(
             task_dict["name"],
             is_mapper_node=is_mapper_node,
-            operator_type=task_dict["operator_type"]
-            if "operator_type" in task_dict
-            else "kubernetes",
+            operator_type=(
+                task_dict["operator_type"]
+                if "operator_type" in task_dict
+                else "kubernetes"
+            ),
             flow_name=flow_name,
             flow_contains_foreach=flow_contains_foreach,
         ).set_operator_args(**op_args)
diff --git a/metaflow/plugins/airflow/sensors/base_sensor.py b/metaflow/plugins/airflow/sensors/base_sensor.py
index 9412072cd23..8a4608033b9 100644
--- a/metaflow/plugins/airflow/sensors/base_sensor.py
+++ b/metaflow/plugins/airflow/sensors/base_sensor.py
@@ -1,5 +1,5 @@
 import uuid
-from metaflow.decorators import FlowDecorator
+from metaflow.decorators import FlowDecorator, flow_decorators
 from ..exception import AirflowException
 from ..airflow_utils import AirflowTask, id_creator, TASK_ID_HASH_LEN
 
@@ -49,7 +49,7 @@ def create_task(self):
             operator_type=self.operator_type,
         ).set_operator_args(**{k: v for k, v in task_args.items() if v is not None})
 
-    def validate(self):
+    def validate(self, flow):
         """
         Validate if the arguments for the sensor are correct.
         """
@@ -58,7 +58,7 @@ def validate(self):
         if self.attributes["name"] is None:
             deco_index = [
                 d._id
-                for d in self._flow_decorators
+                for d in flow_decorators(flow)
                 if issubclass(d.__class__, AirflowSensorDecorator)
             ].index(self._id)
             self._airflow_task_name = "%s-%s" % (
@@ -71,4 +71,4 @@ def validate(self):
     def flow_init(
         self, flow, graph, environment, flow_datastore, metadata, logger, echo, options
     ):
-        self.validate()
+        self.validate(flow)
diff --git a/metaflow/plugins/airflow/sensors/external_task_sensor.py b/metaflow/plugins/airflow/sensors/external_task_sensor.py
index c599a05b4a0..264e47f18bc 100644
--- a/metaflow/plugins/airflow/sensors/external_task_sensor.py
+++ b/metaflow/plugins/airflow/sensors/external_task_sensor.py
@@ -28,27 +28,27 @@ class ExternalTaskSensorDecorator(AirflowSensorDecorator):
         Time, in seconds before the task times out and fails. (Default: 3600)
     poke_interval : int
         Time in seconds that the job should wait in between each try. (Default: 60)
-    mode : string
+    mode : str
         How the sensor operates. Options are: { poke | reschedule }. (Default: "poke")
     exponential_backoff : bool
         allow progressive longer waits between pokes by using exponential backoff algorithm. (Default: True)
-    pool : string
+    pool : str
         the slot pool this task should run in,
         slot pools are a way to limit concurrency for certain tasks. (Default:None)
     soft_fail : bool
         Set to true to mark the task as SKIPPED on failure. (Default: False)
-    name : string
+    name : str
         Name of the sensor on Airflow
-    description : string
+    description : str
         Description of sensor in the Airflow UI
-    external_dag_id : string
+    external_dag_id : str
         The dag_id that contains the task you want to wait for.
-    external_task_ids : List[string]
+    external_task_ids : List[str]
         The list of task_ids that you want to wait for.
         If None (default value) the sensor waits for the DAG. (Default: None)
-    allowed_states : List[string]
+    allowed_states : List[str]
         Iterable of allowed states, (Default: ['success'])
-    failed_states : List[string]
+    failed_states : List[str]
         Iterable of failed or dis-allowed states. (Default: None)
     execution_delta : datetime.timedelta
         time difference with the previous execution to look at,
@@ -85,7 +85,7 @@ def serialize_operator_args(self):
             )
         return task_args
 
-    def validate(self):
+    def validate(self, flow):
         if self.attributes["external_dag_id"] is None:
             raise AirflowException(
                 "`%s` argument of `@%s`cannot be `None`."
@@ -131,4 +131,4 @@ def validate(self):
                         self.name,
                     )
                 )
-        super().validate()
+        super().validate(flow)
diff --git a/metaflow/plugins/airflow/sensors/s3_sensor.py b/metaflow/plugins/airflow/sensors/s3_sensor.py
index 6fac6725d20..557dd00061b 100644
--- a/metaflow/plugins/airflow/sensors/s3_sensor.py
+++ b/metaflow/plugins/airflow/sensors/s3_sensor.py
@@ -17,20 +17,20 @@ class S3KeySensorDecorator(AirflowSensorDecorator):
         Time, in seconds before the task times out and fails. (Default: 3600)
     poke_interval : int
         Time in seconds that the job should wait in between each try. (Default: 60)
-    mode : string
+    mode : str
         How the sensor operates. Options are: { poke | reschedule }. (Default: "poke")
     exponential_backoff : bool
         allow progressive longer waits between pokes by using exponential backoff algorithm. (Default: True)
-    pool : string
+    pool : str
         the slot pool this task should run in,
         slot pools are a way to limit concurrency for certain tasks. (Default:None)
     soft_fail : bool
         Set to true to mark the task as SKIPPED on failure. (Default: False)
-    name : string
+    name : str
         Name of the sensor on Airflow
-    description : string
+    description : str
         Description of sensor in the Airflow UI
-    bucket_key : str | List[str]
+    bucket_key : Union[str, List[str]]
         The key(s) being waited on. Supports full s3:// style url or relative path from root level.
         When it's specified as a full s3:// url, please leave `bucket_name` as None
     bucket_name : str
@@ -38,7 +38,7 @@ class S3KeySensorDecorator(AirflowSensorDecorator):
         When specified, all the keys passed to bucket_key refers to this bucket. (Default:None)
     wildcard_match : bool
         whether the bucket_key should be interpreted as a Unix wildcard pattern. (Default: False)
-    aws_conn_id : string
+    aws_conn_id : str
         a reference to the s3 connection on Airflow. (Default: None)
     verify : bool
         Whether or not to verify SSL certificates for S3 connection. (Default: None)
@@ -58,9 +58,9 @@ class S3KeySensorDecorator(AirflowSensorDecorator):
         #  `verify` is a airflow variable.
     )
 
-    def validate(self):
+    def validate(self, flow):
         if self.attributes["bucket_key"] is None:
             raise AirflowException(
                 "`bucket_key` for `@%s`cannot be empty." % (self.name)
             )
-        super().validate()
+        super().validate(flow)
diff --git a/metaflow/plugins/argo/argo_client.py b/metaflow/plugins/argo/argo_client.py
index 0a1a2d73a7f..f8e96f89161 100644
--- a/metaflow/plugins/argo/argo_client.py
+++ b/metaflow/plugins/argo/argo_client.py
@@ -1,6 +1,4 @@
 import json
-import os
-import sys
 
 from metaflow.exception import MetaflowException
 from metaflow.plugins.kubernetes.kubernetes_client import KubernetesClient
@@ -10,6 +8,14 @@ class ArgoClientException(MetaflowException):
     headline = "Argo Client error"
 
 
+class ArgoResourceNotFound(MetaflowException):
+    headline = "Resource not found"
+
+
+class ArgoNotPermitted(MetaflowException):
+    headline = "Operation not permitted"
+
+
 class ArgoClient(object):
     def __init__(self, namespace=None):
         self._client = KubernetesClient()
@@ -17,6 +23,24 @@ def __init__(self, namespace=None):
         self._group = "argoproj.io"
         self._version = "v1alpha1"
 
+    def get_workflow(self, name):
+        client = self._client.get()
+        try:
+            workflow = client.CustomObjectsApi().get_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflows",
+                name=name,
+            )
+        except client.rest.ApiException as e:
+            if e.status == 404:
+                return None
+            raise ArgoClientException(
+                json.loads(e.body)["message"] if e.body is not None else e.reason
+            )
+        return workflow
+
     def get_workflow_template(self, name):
         client = self._client.get()
         try:
@@ -34,6 +58,22 @@ def get_workflow_template(self, name):
                 json.loads(e.body)["message"] if e.body is not None else e.reason
             )
 
+    def get_workflow_templates(self):
+        client = self._client.get()
+        try:
+            return client.CustomObjectsApi().list_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflowtemplates",
+            )["items"]
+        except client.rest.ApiException as e:
+            if e.status == 404:
+                return None
+            raise ArgoClientException(
+                json.loads(e.body)["message"] if e.body is not None else e.reason
+            )
+
     def register_workflow_template(self, name, workflow_template):
         # Unfortunately, Kubernetes client does not handle optimistic
         # concurrency control by itself unlike kubectl
@@ -86,12 +126,149 @@ def register_workflow_template(self, name, workflow_template):
                 json.loads(e.body)["message"] if e.body is not None else e.reason
             )
 
-    def trigger_workflow_template(self, name, parameters={}):
+    def delete_cronworkflow(self, name):
+        """
+        Issues an API call for deleting a cronworkflow
+
+        Returns either the successful API response, or None in case the resource was not found.
+        """
+        client = self._client.get()
+
+        try:
+            return client.CustomObjectsApi().delete_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="cronworkflows",
+                name=name,
+            )
+        except client.rest.ApiException as e:
+            if e.status == 404:
+                return None
+            else:
+                raise wrap_api_error(e)
+
+    def delete_workflow_template(self, name):
+        """
+        Issues an API call for deleting a cronworkflow
+
+        Returns either the successful API response, or None in case the resource was not found.
+        """
+        client = self._client.get()
+
+        try:
+            return client.CustomObjectsApi().delete_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflowtemplates",
+                name=name,
+            )
+        except client.rest.ApiException as e:
+            if e.status == 404:
+                return None
+            else:
+                raise wrap_api_error(e)
+
+    def terminate_workflow(self, name):
+        client = self._client.get()
+        try:
+            workflow = client.CustomObjectsApi().get_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflows",
+                name=name,
+            )
+        except client.rest.ApiException as e:
+            raise ArgoClientException(
+                json.loads(e.body)["message"] if e.body is not None else e.reason
+            )
+
+        if workflow["status"]["finishedAt"] is not None:
+            raise ArgoClientException(
+                "Cannot terminate an execution that has already finished."
+            )
+        if workflow["spec"].get("shutdown") == "Terminate":
+            raise ArgoClientException("Execution has already been terminated.")
+
+        try:
+            body = {"spec": workflow["spec"]}
+            body["spec"]["shutdown"] = "Terminate"
+            return client.CustomObjectsApi().patch_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflows",
+                name=name,
+                body=body,
+            )
+        except client.rest.ApiException as e:
+            raise ArgoClientException(
+                json.loads(e.body)["message"] if e.body is not None else e.reason
+            )
+
+    def suspend_workflow(self, name):
+        workflow = self.get_workflow(name)
+        if workflow is None:
+            raise ArgoClientException("Execution argo-%s was not found" % name)
+
+        if workflow["status"]["finishedAt"] is not None:
+            raise ArgoClientException(
+                "Cannot suspend an execution that has already finished."
+            )
+        if workflow["spec"].get("suspend") is True:
+            raise ArgoClientException("Execution has already been suspended.")
+
+        body = {"spec": workflow["spec"]}
+        body["spec"]["suspend"] = True
+        return self._patch_workflow(name, body)
+
+    def unsuspend_workflow(self, name):
+        workflow = self.get_workflow(name)
+        if workflow is None:
+            raise ArgoClientException("Execution argo-%s was not found" % name)
+
+        if workflow["status"]["finishedAt"] is not None:
+            raise ArgoClientException(
+                "Cannot unsuspend an execution that has already finished."
+            )
+        if not workflow["spec"].get("suspend", False):
+            raise ArgoClientException("Execution is already proceeding.")
+
+        body = {"spec": workflow["spec"]}
+        body["spec"]["suspend"] = False
+        return self._patch_workflow(name, body)
+
+    def _patch_workflow(self, name, body):
+        client = self._client.get()
+        try:
+            return client.CustomObjectsApi().patch_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="workflows",
+                name=name,
+                body=body,
+            )
+        except client.rest.ApiException as e:
+            raise ArgoClientException(
+                json.loads(e.body)["message"] if e.body is not None else e.reason
+            )
+
+    def trigger_workflow_template(self, name, usertype, username, parameters={}):
         client = self._client.get()
         body = {
             "apiVersion": "argoproj.io/v1alpha1",
             "kind": "Workflow",
-            "metadata": {"generateName": name + "-"},
+            "metadata": {
+                "generateName": name + "-",
+                "annotations": {
+                    "metaflow/triggered_by_user": json.dumps(
+                        {"type": usertype, "name": username}
+                    )
+                },
+            },
             "spec": {
                 "workflowTemplateRef": {"name": name},
                 "arguments": {
@@ -127,6 +304,8 @@ def schedule_workflow_template(self, name, schedule=None, timezone=None):
                 "suspend": schedule is None,
                 "schedule": schedule,
                 "timezone": timezone,
+                "failedJobsHistoryLimit": 10000,  # default is unfortunately 1
+                "successfulJobsHistoryLimit": 10000,  # default is unfortunately 3
                 "workflowSpec": {"workflowTemplateRef": {"name": name}},
             },
         }
@@ -207,8 +386,6 @@ def register_sensor(self, name, sensor=None):
         except client.rest.ApiException as e:
             # Sensor does not exist and we want to add one
             if e.status == 404:
-                if sensor.get("kind") is None:
-                    return
                 try:
                     return client.CustomObjectsApi().create_namespaced_custom_object(
                         group=self._group,
@@ -227,20 +404,6 @@ def register_sensor(self, name, sensor=None):
                 raise ArgoClientException(
                     json.loads(e.body)["message"] if e.body is not None else e.reason
                 )
-        # Since sensors occupy real resources, delete existing sensor if needed
-        if sensor.get("kind") is None:
-            try:
-                return client.CustomObjectsApi().delete_namespaced_custom_object(
-                    group=self._group,
-                    version=self._version,
-                    namespace=self._namespace,
-                    plural="sensors",
-                    name=name,
-                )
-            except client.rest.ApiException as e:
-                raise ArgoClientException(
-                    json.loads(e.body)["message"] if e.body is not None else e.reason
-                )
         try:
             return client.CustomObjectsApi().replace_namespaced_custom_object(
                 group=self._group,
@@ -254,3 +417,38 @@ def register_sensor(self, name, sensor=None):
             raise ArgoClientException(
                 json.loads(e.body)["message"] if e.body is not None else e.reason
             )
+
+    def delete_sensor(self, name):
+        """
+        Issues an API call for deleting a sensor
+
+        Returns either the successful API response, or None in case the resource was not found.
+        """
+        client = self._client.get()
+
+        try:
+            return client.CustomObjectsApi().delete_namespaced_custom_object(
+                group=self._group,
+                version=self._version,
+                namespace=self._namespace,
+                plural="sensors",
+                name=name,
+            )
+        except client.rest.ApiException as e:
+            if e.status == 404:
+                return None
+            raise wrap_api_error(e)
+
+
+def wrap_api_error(error):
+    message = (
+        json.loads(error.body)["message"] if error.body is not None else error.reason
+    )
+    # catch all
+    ex = ArgoClientException(message)
+    if error.status == 404:
+        # usually handled outside this function as most cases want to return None instead.
+        ex = ArgoResourceNotFound(message)
+    if error.status == 403:
+        ex = ArgoNotPermitted(message)
+    return ex
diff --git a/metaflow/plugins/argo/argo_events.py b/metaflow/plugins/argo/argo_events.py
index 94c7c0d5d15..8bacd0b3e9f 100644
--- a/metaflow/plugins/argo/argo_events.py
+++ b/metaflow/plugins/argo/argo_events.py
@@ -7,7 +7,11 @@
 from datetime import datetime
 
 from metaflow.exception import MetaflowException
-from metaflow.metaflow_config import ARGO_EVENTS_WEBHOOK_URL
+from metaflow.metaflow_config import (
+    ARGO_EVENTS_WEBHOOK_AUTH,
+    ARGO_EVENTS_WEBHOOK_URL,
+    SERVICE_HEADERS,
+)
 
 
 class ArgoEventException(MetaflowException):
@@ -15,6 +19,21 @@ class ArgoEventException(MetaflowException):
 
 
 class ArgoEvent(object):
+    """
+    ArgoEvent is a small event, a message, that can be published to Argo Workflows. The
+    event will eventually start all flows which have been previously deployed with `@trigger`
+    to wait for this particular named event.
+
+    Parameters
+    ----------
+    name : str,
+        Name of the event
+    url : str, optional
+        Override the event endpoint from `ARGO_EVENTS_WEBHOOK_URL`.
+    payload : Dict, optional
+        A set of key-value pairs delivered in this event. Used to set parameters of triggered flows.
+    """
+
     def __init__(
         self, name, url=ARGO_EVENTS_WEBHOOK_URL, payload=None, access_token=None
     ):
@@ -25,10 +44,56 @@ def __init__(
         self._access_token = access_token
 
     def add_to_payload(self, key, value):
+        """
+        Add a key-value pair in the payload. This is typically used to set parameters
+        of triggered flows. Often, `key` is the parameter name you want to set to
+        `value`. Overrides any existing value of `key`.
+
+        Parameters
+        ----------
+        key : str
+            Key
+        value : str
+            Value
+        """
+
         self._payload[key] = str(value)
         return self
 
-    def publish(self, payload=None, force=False, ignore_errors=True):
+    def safe_publish(self, payload=None, ignore_errors=True):
+        """
+        Publishes an event when called inside a deployed workflow. Outside a deployed workflow
+        this function does nothing.
+
+        Use this function inside flows to create events safely. As this function is a no-op
+        for local runs, you can safely call it during local development without causing unintended
+        side-effects. It takes effect only when deployed on Argo Workflows.
+
+        Parameters
+        ----------
+        payload : dict
+            Additional key-value pairs to add to the payload.
+        ignore_errors : bool, default True
+            If True, events are created on a best effort basis - errors are silently ignored.
+        """
+
+        return self.publish(payload=payload, force=False, ignore_errors=ignore_errors)
+
+    def publish(self, payload=None, force=True, ignore_errors=True):
+        """
+        Publishes an event.
+
+        Note that the function returns immediately after the event has been sent. It
+        does not wait for flows to start, nor it guarantees that any flows will start.
+
+        Parameters
+        ----------
+        payload : dict
+            Additional key-value pairs to add to the payload.
+        ignore_errors : bool, default True
+            If True, events are created on a best effort basis - errors are silently ignored.
+        """
+
         if payload == None:
             payload = {}
         # Publish event iff forced or running on Argo Workflows
@@ -38,28 +103,29 @@ def publish(self, payload=None, force=False, ignore_errors=True):
                 if self._access_token:
                     # TODO: Test with bearer tokens
                     headers = {"Authorization": "Bearer {}".format(self._access_token)}
+                if ARGO_EVENTS_WEBHOOK_AUTH == "service":
+                    headers.update(SERVICE_HEADERS)
                 # TODO: do we need to worry about certs?
 
                 # Use urllib to avoid introducing any dependency in Metaflow
+                data = {
+                    "name": self._name,
+                    "payload": {
+                        # Add default fields here...
+                        "name": self._name,
+                        "id": str(uuid.uuid4()),
+                        "timestamp": int(time.time()),
+                        "utc_date": datetime.utcnow().strftime("%Y%m%d"),
+                        "generated-by-metaflow": True,
+                        **self._payload,
+                        **payload,
+                    },
+                }
                 request = urllib.request.Request(
                     self._url,
                     method="POST",
                     headers={"Content-Type": "application/json", **headers},
-                    data=json.dumps(
-                        {
-                            "name": self._name,
-                            "payload": {
-                                # Add default fields here...
-                                "name": self._name,
-                                "id": str(uuid.uuid4()),
-                                "timestamp": int(time.time()),
-                                "utc_date": datetime.utcnow().strftime("%Y%m%d"),
-                                "generated-by-metaflow": True,
-                                **self._payload,
-                                **payload,
-                            },
-                        }
-                    ).encode("utf-8"),
+                    data=json.dumps(data).encode("utf-8"),
                 )
                 retries = 3
                 backoff_factor = 2
@@ -70,7 +136,7 @@ def publish(self, payload=None, force=False, ignore_errors=True):
                         print(
                             "Argo Event (%s) published." % self._name, file=sys.stderr
                         )
-                        break
+                        return data["payload"]["id"]
                     except urllib.error.HTTPError as e:
                         # TODO: Retry retryable HTTP error codes
                         raise e
@@ -88,7 +154,7 @@ def publish(self, payload=None, force=False, ignore_errors=True):
         else:
             msg = (
                 "Argo Event (%s) was not published. Use "
-                + "ArgoEvent(...).publish(..., force=True) "
+                + "ArgoEvent(...).publish(...) "
                 + "to force publish."
             ) % self._name
 
diff --git a/metaflow/plugins/argo/argo_workflows.py b/metaflow/plugins/argo/argo_workflows.py
index 51e2aeff0e6..3e6df554d88 100644
--- a/metaflow/plugins/argo/argo_workflows.py
+++ b/metaflow/plugins/argo/argo_workflows.py
@@ -6,19 +6,27 @@
 import sys
 from collections import defaultdict
 from hashlib import sha1
+from math import inf
+from typing import List
 
-from metaflow import current
+from metaflow import JSONType, current
 from metaflow.decorators import flow_decorators
 from metaflow.exception import MetaflowException
+from metaflow.graph import FlowGraph
+from metaflow.includefile import FilePathClass
 from metaflow.metaflow_config import (
     ARGO_EVENTS_EVENT,
     ARGO_EVENTS_EVENT_BUS,
     ARGO_EVENTS_EVENT_SOURCE,
+    ARGO_EVENTS_INTERNAL_WEBHOOK_URL,
     ARGO_EVENTS_SERVICE_ACCOUNT,
-    ARGO_EVENTS_WEBHOOK_URL,
+    ARGO_EVENTS_WEBHOOK_AUTH,
+    ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT,
     ARGO_WORKFLOWS_ENV_VARS_TO_SKIP,
     ARGO_WORKFLOWS_KUBERNETES_SECRETS,
+    ARGO_WORKFLOWS_UI_URL,
     AWS_SECRETS_MANAGER_DEFAULT_REGION,
+    AZURE_KEY_VAULT_PREFIX,
     AZURE_STORAGE_BLOB_SERVICE_ENDPOINT,
     CARD_AZUREROOT,
     CARD_GSROOT,
@@ -29,17 +37,25 @@
     DATATOOLS_S3ROOT,
     DEFAULT_METADATA,
     DEFAULT_SECRETS_BACKEND_TYPE,
+    GCP_SECRET_MANAGER_PREFIX,
     KUBERNETES_FETCH_EC2_METADATA,
     KUBERNETES_NAMESPACE,
-    KUBERNETES_NODE_SELECTOR,
     KUBERNETES_SANDBOX_INIT_SCRIPT,
     KUBERNETES_SECRETS,
     S3_ENDPOINT_URL,
+    S3_SERVER_SIDE_ENCRYPTION,
     SERVICE_HEADERS,
     SERVICE_INTERNAL_URL,
+    UI_URL,
 )
+from metaflow.metaflow_config_funcs import config_values
 from metaflow.mflog import BASH_SAVE_LOGS, bash_capture_logs, export_mflog_env_vars
 from metaflow.parameters import deploy_time_eval
+from metaflow.plugins.kubernetes.kube_utils import qos_requests_and_limits
+
+from metaflow.plugins.kubernetes.kubernetes_jobsets import KubernetesArgoJobSet
+from metaflow.unbounded_foreach import UBF_CONTROL, UBF_TASK
+from metaflow.user_configs.config_options import ConfigInput
 from metaflow.util import (
     compress_list,
     dict_to_cli_options,
@@ -49,6 +65,8 @@
 )
 
 from .argo_client import ArgoClient
+from .exit_hooks import ExitHookHack, HttpExitHook, ContainerHook
+from metaflow.util import resolve_identity
 
 
 class ArgoWorkflowsException(MetaflowException):
@@ -62,22 +80,18 @@ class ArgoWorkflowsSchedulingException(MetaflowException):
 # List of future enhancements -
 #     1. Configure Argo metrics.
 #     2. Support resuming failed workflows within Argo Workflows.
-#     3. Support gang-scheduled clusters for distributed PyTorch/TF - One option is to
-#        use volcano - https://github.com/volcano-sh/volcano/tree/master/example/integrations/argo
-#     4. Support GitOps workflows.
-#     5. Add Metaflow tags to labels/annotations.
-#     6. Support Multi-cluster scheduling - https://github.com/argoproj/argo-workflows/issues/3523#issuecomment-792307297
-#     7. Support for workflow notifications.
-#     8. Support R lang.
-#     9. Ping @savin at slack.outerbounds.co for any feature request.
+#     3. Add Metaflow tags to labels/annotations.
+#     4. Support R lang.
+#     5. Ping @savin at slack.outerbounds.co for any feature request
 
 
 class ArgoWorkflows(object):
     def __init__(
         self,
         name,
-        graph,
+        graph: FlowGraph,
         flow,
+        code_package_metadata,
         code_package_sha,
         code_package_url,
         production_token,
@@ -93,6 +107,15 @@ def __init__(
         workflow_timeout=None,
         workflow_priority=None,
         auto_emit_argo_events=False,
+        notify_on_error=False,
+        notify_on_success=False,
+        notify_slack_webhook_url=None,
+        notify_pager_duty_integration_key=None,
+        notify_incident_io_api_key=None,
+        incident_io_alert_source_config_id=None,
+        incident_io_metadata: List[str] = None,
+        enable_heartbeat_daemon=True,
+        enable_error_msg_capture=False,
     ):
         # Some high-level notes -
         #
@@ -121,6 +144,7 @@ def __init__(
         self.name = name
         self.graph = graph
         self.flow = flow
+        self.code_package_metadata = code_package_metadata
         self.code_package_sha = code_package_sha
         self.code_package_url = code_package_url
         self.production_token = production_token
@@ -136,11 +160,24 @@ def __init__(
         self.workflow_timeout = workflow_timeout
         self.workflow_priority = workflow_priority
         self.auto_emit_argo_events = auto_emit_argo_events
-
+        self.notify_on_error = notify_on_error
+        self.notify_on_success = notify_on_success
+        self.notify_slack_webhook_url = notify_slack_webhook_url
+        self.notify_pager_duty_integration_key = notify_pager_duty_integration_key
+        self.notify_incident_io_api_key = notify_incident_io_api_key
+        self.incident_io_alert_source_config_id = incident_io_alert_source_config_id
+        self.incident_io_metadata = self.parse_incident_io_metadata(
+            incident_io_metadata
+        )
+        self.enable_heartbeat_daemon = enable_heartbeat_daemon
+        self.enable_error_msg_capture = enable_error_msg_capture
         self.parameters = self._process_parameters()
+        self.config_parameters = self._process_config_parameters()
         self.triggers, self.trigger_options = self._process_triggers()
         self._schedule, self._timezone = self._get_schedule()
 
+        self._base_labels = self._base_kubernetes_labels()
+        self._base_annotations = self._base_kubernetes_annotations()
         self._workflow_template = self._compile_workflow_template()
         self._sensor = self._compile_sensor()
 
@@ -163,6 +200,116 @@ def _sanitize(name):
         # allowed by Metaflow - guaranteeing uniqueness.
         return name.replace("_", "-")
 
+    @staticmethod
+    def _sensor_name(name):
+        # Unfortunately, Argo Events Sensor names don't allow for
+        # dots (sensors run into an error) which rules out self.name :(
+        return name.replace(".", "-")
+
+    @staticmethod
+    def list_templates(flow_name, all=False):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+
+        templates = client.get_workflow_templates()
+        if templates is None:
+            return []
+
+        template_names = [
+            template["metadata"]["name"]
+            for template in templates
+            if all
+            or flow_name
+            == template["metadata"]
+            .get("annotations", {})
+            .get("metaflow/flow_name", None)
+        ]
+        return template_names
+
+    @staticmethod
+    def delete(name):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+
+        # Always try to delete the schedule. Failure in deleting the schedule should not
+        # be treated as an error, due to any of the following reasons
+        # - there might not have been a schedule, or it was deleted by some other means
+        # - retaining these resources should have no consequences as long as the workflow deletion succeeds.
+        # - regarding cost and compute, the significant resources are part of the workflow teardown, not the schedule.
+        schedule_deleted = client.delete_cronworkflow(name)
+
+        # The workflow might have sensors attached to it, which consume actual resources.
+        # Try to delete these as well.
+        sensor_deleted = client.delete_sensor(ArgoWorkflows._sensor_name(name))
+
+        # After cleaning up related resources, delete the workflow in question.
+        # Failure in deleting is treated as critical and will be made visible to the user
+        # for further action.
+        workflow_deleted = client.delete_workflow_template(name)
+        if workflow_deleted is None:
+            raise ArgoWorkflowsException(
+                "The workflow *%s* doesn't exist on Argo Workflows." % name
+            )
+
+        return schedule_deleted, sensor_deleted, workflow_deleted
+
+    @classmethod
+    def terminate(cls, flow_name, name):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+
+        response = client.terminate_workflow(name)
+        if response is None:
+            raise ArgoWorkflowsException(
+                "No execution found for {flow_name}/{run_id} in Argo Workflows.".format(
+                    flow_name=flow_name, run_id=name
+                )
+            )
+
+    @staticmethod
+    def get_workflow_status(flow_name, name):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+        # TODO: Only look for workflows for the specified flow
+        workflow = client.get_workflow(name)
+        if workflow:
+            # return workflow phase for now
+            status = workflow.get("status", {}).get("phase")
+            return status
+        else:
+            raise ArgoWorkflowsException(
+                "No execution found for {flow_name}/{run_id} in Argo Workflows.".format(
+                    flow_name=flow_name, run_id=name
+                )
+            )
+
+    @staticmethod
+    def suspend(name):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+
+        client.suspend_workflow(name)
+
+        return True
+
+    @staticmethod
+    def unsuspend(name):
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+
+        client.unsuspend_workflow(name)
+
+        return True
+
+    @staticmethod
+    def parse_incident_io_metadata(metadata: List[str] = None):
+        "parse key value pairs into a dict for incident.io metadata if given"
+        parsed_metadata = None
+        if metadata is not None:
+            parsed_metadata = {}
+            for kv in metadata:
+                key, value = kv.split("=", 1)
+                if key in parsed_metadata:
+                    raise MetaflowException(
+                        "Incident.io Metadata *%s* provided multiple times" % key
+                    )
+                parsed_metadata[key] = value
+        return parsed_metadata
+
     @classmethod
     def trigger(cls, name, parameters=None):
         if parameters is None:
@@ -182,7 +329,7 @@ def trigger(cls, name, parameters=None):
             try:
                 # Check that the workflow was deployed through Metaflow
                 workflow_template["metadata"]["annotations"]["metaflow/owner"]
-            except KeyError as e:
+            except KeyError:
                 raise ArgoWorkflowsException(
                     "An existing non-metaflow workflow with the same name as "
                     "*%s* already exists in Argo Workflows. \nPlease modify the "
@@ -190,12 +337,57 @@ def trigger(cls, name, parameters=None):
                     "Workflows before proceeding." % name
                 )
         try:
+            id_parts = resolve_identity().split(":")
+            parts_size = len(id_parts)
+            usertype = id_parts[0] if parts_size > 0 else "unknown"
+            username = id_parts[1] if parts_size > 1 else "unknown"
+
             return ArgoClient(namespace=KUBERNETES_NAMESPACE).trigger_workflow_template(
-                name, parameters
+                name,
+                usertype,
+                username,
+                parameters,
             )
         except Exception as e:
             raise ArgoWorkflowsException(str(e))
 
+    def _base_kubernetes_labels(self):
+        """
+        Get shared Kubernetes labels for Argo resources.
+        """
+        # TODO: Add configuration through an environment variable or Metaflow config in the future if required.
+        labels = {"app.kubernetes.io/part-of": "metaflow"}
+
+        return labels
+
+    def _base_kubernetes_annotations(self):
+        """
+        Get shared Kubernetes annotations for Argo resources.
+        """
+        from datetime import datetime, timezone
+
+        # TODO: Add configuration through an environment variable or Metaflow config in the future if required.
+        # base annotations
+        annotations = {
+            "metaflow/production_token": self.production_token,
+            "metaflow/owner": self.username,
+            "metaflow/user": "argo-workflows",
+            "metaflow/flow_name": self.flow.name,
+            "metaflow/deployment_timestamp": str(
+                datetime.now(timezone.utc).isoformat()
+            ),
+        }
+
+        if current.get("project_name"):
+            annotations.update(
+                {
+                    "metaflow/project_name": current.project_name,
+                    "metaflow/branch_name": current.branch_name,
+                    "metaflow/project_flow_name": current.project_flow_name,
+                }
+            )
+        return annotations
+
     def _get_schedule(self):
         schedule = self.flow._flow_decorators.get("schedule")
         if schedule:
@@ -206,16 +398,19 @@ def _get_schedule(self):
 
     def schedule(self):
         try:
-            ArgoClient(namespace=KUBERNETES_NAMESPACE).schedule_workflow_template(
+            argo_client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+            argo_client.schedule_workflow_template(
                 self.name, self._schedule, self._timezone
             )
-            # Register sensor. Unfortunately, Argo Events Sensor names don't allow for
-            # dots (sensors run into an error) which rules out self.name :(
+            # Register sensor.
             # Metaflow will overwrite any existing sensor.
-            ArgoClient(namespace=KUBERNETES_NAMESPACE).register_sensor(
-                self.name.replace(".", "-"),
-                self._sensor.to_json() if self._sensor else {},
-            )
+            sensor_name = ArgoWorkflows._sensor_name(self.name)
+            if self._sensor:
+                argo_client.register_sensor(sensor_name, self._sensor.to_json())
+            else:
+                # Since sensors occupy real resources, delete existing sensor if needed
+                # Deregister sensors that might have existed before this deployment
+                argo_client.delete_sensor(sensor_name)
         except Exception as e:
             raise ArgoWorkflowsSchedulingException(str(e))
 
@@ -267,7 +462,7 @@ def get_existing_deployment(cls, name):
                         "metaflow/production_token"
                     ],
                 )
-            except KeyError as e:
+            except KeyError:
                 raise ArgoWorkflowsException(
                     "An existing non-metaflow workflow with the same name as "
                     "*%s* already exists in Argo Workflows. \nPlease modify the "
@@ -276,6 +471,29 @@ def get_existing_deployment(cls, name):
                 )
         return None
 
+    @classmethod
+    def get_execution(cls, name):
+        workflow = ArgoClient(namespace=KUBERNETES_NAMESPACE).get_workflow(name)
+        if workflow is not None:
+            try:
+                return (
+                    workflow["metadata"]["annotations"]["metaflow/owner"],
+                    workflow["metadata"]["annotations"]["metaflow/production_token"],
+                    workflow["metadata"]["annotations"]["metaflow/flow_name"],
+                    workflow["metadata"]["annotations"].get(
+                        "metaflow/branch_name", None
+                    ),
+                    workflow["metadata"]["annotations"].get(
+                        "metaflow/project_name", None
+                    ),
+                )
+            except KeyError:
+                raise ArgoWorkflowsException(
+                    "A non-metaflow workflow *%s* already exists in Argo Workflows."
+                    % name
+                )
+        return None
+
     def _process_parameters(self):
         parameters = {}
         has_schedule = self.flow._flow_decorators.get("schedule") is not None
@@ -290,6 +508,24 @@ def _process_parameters(self):
                     "case-insensitive." % param.name
                 )
             seen.add(norm)
+            # NOTE: We skip config parameters as these do not have dynamic values,
+            # and need to be treated differently.
+            if param.IS_CONFIG_PARAMETER:
+                continue
+
+            extra_attrs = {}
+            if param.kwargs.get("type") == JSONType:
+                param_type = str(param.kwargs.get("type").name)
+            elif isinstance(param.kwargs.get("type"), FilePathClass):
+                param_type = str(param.kwargs.get("type").name)
+                extra_attrs["is_text"] = getattr(
+                    param.kwargs.get("type"), "_is_text", True
+                )
+                extra_attrs["encoding"] = getattr(
+                    param.kwargs.get("type"), "_encoding", "utf-8"
+                )
+            else:
+                param_type = str(param.kwargs.get("type").__name__)
 
             is_required = param.kwargs.get("required", False)
             # Throw an exception if a schedule is set for a flow with required
@@ -302,18 +538,43 @@ def _process_parameters(self):
                     "Scheduling such parameters via Argo CronWorkflows is not "
                     "currently supported." % param.name
                 )
-            value = deploy_time_eval(param.kwargs.get("default"))
+            default_value = deploy_time_eval(param.kwargs.get("default"))
             # If the value is not required and the value is None, we set the value to
             # the JSON equivalent of None to please argo-workflows. Unfortunately it
             # has the side effect of casting the parameter value to string null during
             # execution - which needs to be fixed imminently.
-            if not is_required or value is not None:
-                value = json.dumps(value)
+            if not is_required or default_value is not None:
+                default_value = json.dumps(default_value)
+
             parameters[param.name] = dict(
+                python_var_name=var,
                 name=param.name,
-                value=value,
+                value=default_value,
+                type=param_type,
                 description=param.kwargs.get("help"),
                 is_required=is_required,
+                **extra_attrs,
+            )
+        return parameters
+
+    def _process_config_parameters(self):
+        parameters = []
+        seen = set()
+        for var, param in self.flow._get_parameters():
+            if not param.IS_CONFIG_PARAMETER:
+                continue
+            # Throw an exception if the parameter is specified twice.
+            norm = param.name.lower()
+            if norm in seen:
+                raise MetaflowException(
+                    "Parameter *%s* is specified twice. "
+                    "Note that parameter names are "
+                    "case-insensitive." % param.name
+                )
+            seen.add(norm)
+
+            parameters.append(
+                dict(name=param.name, kv_name=ConfigInput.make_key_name(param.name))
             )
         return parameters
 
@@ -335,14 +596,21 @@ def _process_triggers(self):
 
         # @trigger decorator
         if self.flow._flow_decorators.get("trigger"):
-            # Parameters are not duplicated, and exist in the flow.
-            # additionally, convert them to lower case since metaflow parameters are
-            # case insensitive.
+            # Parameters are not duplicated, and exist in the flow. Additionally,
+            # convert them to lower case since Metaflow parameters are case
+            # insensitive.
             seen = set()
+            # NOTE: We skip config parameters as their values can not be set through event payloads
             params = set(
-                [param.name.lower() for var, param in self.flow._get_parameters()]
+                [
+                    param.name.lower()
+                    for var, param in self.flow._get_parameters()
+                    if not param.IS_CONFIG_PARAMETER
+                ]
             )
-            for event in self.flow._flow_decorators.get("trigger")[0].triggers:
+            trigger_deco = self.flow._flow_decorators.get("trigger")[0]
+            trigger_deco.format_deploytime_value()
+            for event in trigger_deco.triggers:
                 parameters = {}
                 # TODO: Add a check to guard against names starting with numerals(?)
                 if not re.match(r"^[A-Za-z0-9_.-]+$", event["name"]):
@@ -375,36 +643,48 @@ def _process_triggers(self):
             triggers.extend(self.flow._flow_decorators.get("trigger")[0].triggers)
 
             # Set automatic parameter mapping iff only a single event dependency is
-            # specified with no explicit parameter mapping
+            # specified with no explicit parameter mapping.
             if len(triggers) == 1 and not triggers[0].get("parameters"):
                 triggers[0]["parameters"] = dict(zip(params, params))
             options = self.flow._flow_decorators.get("trigger")[0].options
 
         # @trigger_on_finish decorator
         if self.flow._flow_decorators.get("trigger_on_finish"):
-            for event in self.flow._flow_decorators.get("trigger_on_finish")[
-                0
-            ].triggers:
+            trigger_on_finish_deco = self.flow._flow_decorators.get(
+                "trigger_on_finish"
+            )[0]
+            trigger_on_finish_deco.format_deploytime_value()
+            for event in trigger_on_finish_deco.triggers:
                 # Actual filters are deduced here since we don't have access to
                 # the current object in the @trigger_on_finish decorator.
+                project_name = event.get("project") or current.get("project_name")
+                branch_name = event.get("branch") or current.get("branch_name")
+                # validate that we have complete project info for an event name
+                if project_name or branch_name:
+                    if not (project_name and branch_name):
+                        # if one of the two is missing, we would end up listening to an event that will never be broadcast.
+                        raise ArgoWorkflowsException(
+                            "Incomplete project info. Please specify both 'project' and 'project_branch' or use the @project decorator"
+                        )
+
                 triggers.append(
                     {
+                        # Make sure this remains consistent with the event name format
+                        # in ArgoWorkflowsInternalDecorator.
                         "name": "metaflow.%s.end"
                         % ".".join(
                             v
                             for v in [
-                                event.get("project") or current.get("project_name"),
-                                event.get("branch") or current.get("branch_name"),
+                                project_name,
+                                branch_name,
                                 event["flow"],
                             ]
                             if v
                         ),
                         "filters": {
                             "auto-generated-by-metaflow": True,
-                            "project_name": event.get("project")
-                            or current.get("project_name"),
-                            "branch_name": event.get("branch")
-                            or current.get("branch_name"),
+                            "project_name": project_name,
+                            "branch_name": branch_name,
                             # TODO: Add a time filters to guard against cached events
                         },
                         "type": "run",
@@ -417,14 +697,16 @@ def _process_triggers(self):
             # Assign a sanitized name since we need this at many places to please
             # Argo Events sensors. There is a slight possibility of name collision
             # but quite unlikely for us to worry about at this point.
-            event["sanitized_name"] = event["name"]
-            if any([x in event["name"] for x in [".", "-"]]):
-                event["sanitized_name"] = "%s_%s" % (
-                    event["name"].replace(".", "").replace("-", ""),
-                    to_unicode(
-                        base64.b32encode(sha1(to_bytes(event["name"])).digest())
-                    )[:4].lower(),
-                )
+            event["sanitized_name"] = "%s_%s" % (
+                event["name"]
+                .replace(".", "")
+                .replace("-", "")
+                .replace("@", "")
+                .replace("+", ""),
+                to_unicode(base64.b32encode(sha1(to_bytes(event["name"])).digest()))[
+                    :4
+                ].lower(),
+            )
         return triggers, options
 
     def _compile_workflow_template(self):
@@ -454,21 +736,69 @@ def _compile_workflow_template(self):
         # generate container templates at the top level (in WorkflowSpec) and maintain
         # references to them within the DAGTask.
 
-        annotations = {
-            "metaflow/production_token": self.production_token,
-            "metaflow/owner": self.username,
-            "metaflow/user": "argo-workflows",
-            "metaflow/flow_name": self.flow.name,
-        }
-        if current.get("project_name"):
+        annotations = {}
+        if self._schedule is not None:
+            # timezone is an optional field and json dumps on None will result in null
+            # hence configuring it to an empty string
+            if self._timezone is None:
+                self._timezone = ""
+            cron_info = {"schedule": self._schedule, "tz": self._timezone}
+            annotations.update({"metaflow/cron": json.dumps(cron_info)})
+
+        if self.parameters:
+            annotations.update({"metaflow/parameters": json.dumps(self.parameters)})
+
+        # Some more annotations to populate the Argo UI nicely
+        if self.tags:
+            annotations.update({"metaflow/tags": json.dumps(self.tags)})
+        if self.triggers:
             annotations.update(
                 {
-                    "metaflow/project_name": current.project_name,
-                    "metaflow/branch_name": current.branch_name,
-                    "metaflow/project_flow_name": current.project_flow_name,
+                    "metaflow/triggers": json.dumps(
+                        [
+                            {key: trigger.get(key) for key in ["name", "type"]}
+                            for trigger in self.triggers
+                        ]
+                    )
+                }
+            )
+        if self.notify_on_error:
+            annotations.update(
+                {
+                    "metaflow/notify_on_error": json.dumps(
+                        {
+                            "slack": bool(self.notify_slack_webhook_url),
+                            "pager_duty": bool(self.notify_pager_duty_integration_key),
+                            "incident_io": bool(self.notify_incident_io_api_key),
+                        }
+                    )
+                }
+            )
+        if self.notify_on_success:
+            annotations.update(
+                {
+                    "metaflow/notify_on_success": json.dumps(
+                        {
+                            "slack": bool(self.notify_slack_webhook_url),
+                            "pager_duty": bool(self.notify_pager_duty_integration_key),
+                            "incident_io": bool(self.notify_incident_io_api_key),
+                        }
+                    )
                 }
             )
+        try:
+            # Build the DAG based on the DAGNodes given by the FlowGraph for the found FlowSpec class.
+            _steps_info, graph_structure = self.graph.output_steps()
+            graph_info = {
+                # for the time being, we only need the graph_structure. Being mindful of annotation size limits we do not include anything extra.
+                "graph_structure": graph_structure
+            }
+        except Exception:
+            graph_info = None
 
+        dag_annotation = {"metaflow/dag": json.dumps(graph_info)}
+
+        lifecycle_hooks = self._lifecycle_hooks()
         return (
             WorkflowTemplate()
             .metadata(
@@ -479,9 +809,11 @@ def _compile_workflow_template(self):
                 # is released, we should be able to support multi-namespace /
                 # multi-cluster scheduling.
                 .namespace(KUBERNETES_NAMESPACE)
-                .label("app.kubernetes.io/name", "metaflow-flow")
-                .label("app.kubernetes.io/part-of", "metaflow")
                 .annotations(annotations)
+                .annotations(self._base_annotations)
+                .labels(self._base_labels)
+                .label("app.kubernetes.io/name", "metaflow-flow")
+                .annotations(dag_annotation)
             )
             .spec(
                 WorkflowSpec()
@@ -511,10 +843,14 @@ def _compile_workflow_template(self):
                 # Set workflow metadata
                 .workflow_metadata(
                     Metadata()
+                    .labels(self._base_labels)
                     .label("app.kubernetes.io/name", "metaflow-run")
-                    .label("app.kubernetes.io/part-of", "metaflow")
                     .annotations(
-                        {**annotations, **{"metaflow/run_id": "argo-{{workflow.name}}"}}
+                        {
+                            **annotations,
+                            **self._base_annotations,
+                            **{"metaflow/run_id": "argo-{{workflow.name}}"},
+                        }
                     )
                     # TODO: Set dynamic labels using labels_from. Ideally, we would
                     #       want to expose run_id as a label. It's easy to add labels,
@@ -527,7 +863,11 @@ def _compile_workflow_template(self):
                     Arguments().parameters(
                         [
                             Parameter(parameter["name"])
-                            .value(parameter["value"])
+                            .value(
+                                "'%s'" % parameter["value"]
+                                if parameter["type"] == "JSON"
+                                else parameter["value"]
+                            )
                             .description(parameter.get("description"))
                             # TODO: Better handle IncludeFile in Argo Workflows UI.
                             for parameter in self.parameters.values()
@@ -547,22 +887,57 @@ def _compile_workflow_template(self):
                 # Set common pod metadata.
                 .pod_metadata(
                     Metadata()
+                    .labels(self._base_labels)
                     .label("app.kubernetes.io/name", "metaflow-task")
-                    .label("app.kubernetes.io/part-of", "metaflow")
-                    .annotations(annotations)
+                    .annotations(
+                        {
+                            **annotations,
+                            **self._base_annotations,
+                            **{
+                                "metaflow/run_id": "argo-{{workflow.name}}"
+                            },  # we want pods of the workflow to have the run_id as an annotation as well
+                        }
+                    )
                 )
                 # Set the entrypoint to flow name
                 .entrypoint(self.flow.name)
+                # OnExit hooks
+                .onExit(
+                    "capture-error-hook-fn-preflight"
+                    if self.enable_error_msg_capture
+                    else None
+                )
+                # Set lifecycle hooks if notifications are enabled
+                .hooks(
+                    {
+                        lifecycle.name: lifecycle
+                        for hook in lifecycle_hooks
+                        for lifecycle in hook.lifecycle_hooks
+                    }
+                )
                 # Top-level DAG template(s)
                 .templates(self._dag_templates())
                 # Container templates
                 .templates(self._container_templates())
+                # Lifecycle hook template(s)
+                .templates([hook.template for hook in lifecycle_hooks])
+                # Exit hook template(s)
+                .templates(self._exit_hook_templates())
+                # Sidecar templates (Daemon Containers)
+                .templates(self._daemon_templates())
             )
         )
 
     # Visit every node and yield the uber DAGTemplate(s).
     def _dag_templates(self):
-        def _visit(node, exit_node=None, templates=None, dag_tasks=None):
+        def _visit(
+            node,
+            exit_node=None,
+            templates=None,
+            dag_tasks=None,
+            parent_foreach=None,
+        ):  # Returns Tuple[List[Template], List[DAGTask]]
+            """ """
             # Every for-each node results in a separate subDAG and an equivalent
             # DAGTemplate rooted at the child of the for-each node. Each DAGTemplate
             # has a unique name - the top-level DAGTemplate is named as the name of
@@ -576,7 +951,6 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                 templates = []
             if exit_node is not None and exit_node is node.name:
                 return templates, dag_tasks
-
             if node.name == "start":
                 # Start node has no dependencies.
                 dag_task = DAGTask(self._sanitize(node.name)).template(
@@ -585,13 +959,86 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
             elif (
                 node.is_inside_foreach
                 and self.graph[node.in_funcs[0]].type == "foreach"
+                and not self.graph[node.in_funcs[0]].parallel_foreach
+                # We need to distinguish what is a "regular" foreach (i.e something that doesn't care about to gang semantics)
+                # vs what is a "num_parallel" based foreach (i.e. something that follows gang semantics.)
+                # A `regular` foreach is basically any arbitrary kind of foreach.
             ):
                 # Child of a foreach node needs input-paths as well as split-index
                 # This child is the first node of the sub workflow and has no dependency
+
+                parameters = [
+                    Parameter("input-paths").value("{{inputs.parameters.input-paths}}"),
+                    Parameter("split-index").value("{{inputs.parameters.split-index}}"),
+                ]
+                dag_task = (
+                    DAGTask(self._sanitize(node.name))
+                    .template(self._sanitize(node.name))
+                    .arguments(Arguments().parameters(parameters))
+                )
+            elif node.parallel_step:
+                # This is the step where the @parallel decorator is defined.
+                # Since this DAGTask will call the for the `resource` [based templates]
+                # (https://argo-workflows.readthedocs.io/en/stable/walk-through/kubernetes-resources/)
+                # we have certain constraints on the way we can pass information inside the Jobset manifest
+                # [All templates will have access](https://argo-workflows.readthedocs.io/en/stable/variables/#all-templates)
+                # to the `inputs.parameters` so we will pass down ANY/ALL information using the
+                # input parameters.
+                # We define the usual parameters like input-paths/split-index etc. but we will also
+                # define the following:
+                # - `workerCount`:  parameter which will be used to determine the number of
+                #                   parallel worker jobs
+                # - `jobset-name`:  parameter which will be used to determine the name of the jobset.
+                #                   This parameter needs to be dynamic so that when we have retries we don't
+                #                   end up using the name of the jobset again (if we do, it will crash since k8s wont allow duplicated job names)
+                # - `retryCount`:   parameter which will be used to determine the number of retries
+                #                   This parameter will *only* be available within the container templates like we
+                #                   have it for all other DAGTasks and NOT for custom kubernetes resource templates.
+                #                   So as a work-around, we will set it as the `retryCount` parameter instead of
+                #                   setting it as a {{ retries }} in the CLI code. Once set as a input parameter,
+                #                   we can use it in the Jobset Manifest templates as `{{inputs.parameters.retryCount}}`
+                # - `task-id-entropy`: This is a parameter which will help derive task-ids and jobset names. This parameter
+                #                   contains the relevant amount of entropy to ensure that task-ids and jobset names
+                #                   are uniquish. We will also use this in the join task to construct the task-ids of
+                #                   all parallel tasks since the task-ids for parallel task are minted formulaically.
                 parameters = [
                     Parameter("input-paths").value("{{inputs.parameters.input-paths}}"),
+                    Parameter("num-parallel").value(
+                        "{{inputs.parameters.num-parallel}}"
+                    ),
                     Parameter("split-index").value("{{inputs.parameters.split-index}}"),
+                    Parameter("task-id-entropy").value(
+                        "{{inputs.parameters.task-id-entropy}}"
+                    ),
+                    # we cant just use hyphens with sprig.
+                    # https://github.com/argoproj/argo-workflows/issues/10567#issuecomment-1452410948
+                    Parameter("workerCount").value(
+                        "{{=sprig.int(sprig.sub(sprig.int(inputs.parameters['num-parallel']),1))}}"
+                    ),
                 ]
+                if any(d.name == "retry" for d in node.decorators):
+                    parameters.extend(
+                        [
+                            Parameter("retryCount").value("{{retries}}"),
+                            # The job-setname needs to be unique for each retry
+                            # and we cannot use the `generateName` field in the
+                            # Jobset Manifest since we need to construct the subdomain
+                            # and control pod domain name pre-hand. So we will use
+                            # the retry count to ensure that the jobset name is unique
+                            Parameter("jobset-name").value(
+                                "js-{{inputs.parameters.task-id-entropy}}{{retries}}",
+                            ),
+                        ]
+                    )
+                else:
+                    parameters.extend(
+                        [
+                            Parameter("jobset-name").value(
+                                "js-{{inputs.parameters.task-id-entropy}}",
+                            )
+                        ]
+                    )
+
                 dag_task = (
                     DAGTask(self._sanitize(node.name))
                     .template(self._sanitize(node.name))
@@ -606,10 +1053,43 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                                 "argo-{{workflow.name}}/%s/{{tasks.%s.outputs.parameters.task-id}}"
                                 % (n, self._sanitize(n))
                                 for n in node.in_funcs
-                            ]
+                            ],
+                            # NOTE: We set zlibmin to infinite because zlib compression for the Argo input-paths breaks template value substitution.
+                            zlibmin=inf,
                         )
                     )
                 ]
+                # NOTE: Due to limitations with Argo Workflows Parameter size we
+                #       can not pass arbitrarily large lists of task id's to join tasks.
+                #       Instead we ensure that task id's for foreach tasks can be
+                #       deduced deterministically and pass the relevant information to
+                #       the join task.
+                #
+                #       We need to add the split-index and root-input-path for the last
+                #       step in any foreach scope and use these to generate the task id,
+                #       as the join step uses the root and the cardinality of the
+                #       foreach scope to generate the required id's.
+                if (
+                    node.is_inside_foreach
+                    and self.graph[node.out_funcs[0]].type == "join"
+                ):
+                    if any(
+                        self.graph[parent].matching_join
+                        == self.graph[node.out_funcs[0]].name
+                        and self.graph[parent].type == "foreach"
+                        for parent in self.graph[node.out_funcs[0]].split_parents
+                    ):
+                        parameters.extend(
+                            [
+                                Parameter("split-index").value(
+                                    "{{inputs.parameters.split-index}}"
+                                ),
+                                Parameter("root-input-path").value(
+                                    "{{inputs.parameters.input-paths}}"
+                                ),
+                            ]
+                        )
+
                 dag_task = (
                     DAGTask(self._sanitize(node.name))
                     .dependencies(
@@ -618,8 +1098,8 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                     .template(self._sanitize(node.name))
                     .arguments(Arguments().parameters(parameters))
                 )
-            dag_tasks.append(dag_task)
 
+            dag_tasks.append(dag_task)
             # End the workflow if we have reached the end of the flow
             if node.type == "end":
                 return [
@@ -630,19 +1110,45 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
             # For split nodes traverse all the children
             if node.type == "split":
                 for n in node.out_funcs:
-                    _visit(self.graph[n], node.matching_join, templates, dag_tasks)
+                    _visit(
+                        self.graph[n],
+                        node.matching_join,
+                        templates,
+                        dag_tasks,
+                        parent_foreach,
+                    )
                 return _visit(
-                    self.graph[node.matching_join], exit_node, templates, dag_tasks
+                    self.graph[node.matching_join],
+                    exit_node,
+                    templates,
+                    dag_tasks,
+                    parent_foreach,
                 )
             # For foreach nodes generate a new sub DAGTemplate
+            # We do this for "regular" foreaches (ie. `self.next(self.a, foreach=)`)
             elif node.type == "foreach":
                 foreach_template_name = self._sanitize(
                     "%s-foreach-%s"
                     % (
                         node.name,
-                        node.foreach_param,
+                        "parallel" if node.parallel_foreach else node.foreach_param,
+                        # Since foreach's are derived based on `self.next(self.a, foreach="")`
+                        # vs @parallel foreach are done based on `self.next(self.a, num_parallel="")`,
+                        # we need to ensure that `foreach_template_name` suffix is appropriately set based on the kind
+                        # of foreach.
                     )
                 )
+
+                # There are two separate "DAGTask"s created for the foreach node.
+                # - The first one is a "jump-off" DAGTask where we propagate the
+                # input-paths and split-index. This thing doesn't create
+                # any actual containers and it responsible for only propagating
+                # the parameters.
+                # - The DAGTask that follows first DAGTask is the one
+                # that uses the ContainerTemplate. This DAGTask is named the same
+                # thing as the foreach node. We will leverage a similar pattern for the
+                # @parallel tasks.
+                #
                 foreach_task = (
                     DAGTask(foreach_template_name)
                     .dependencies([self._sanitize(node.name)])
@@ -656,27 +1162,76 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                                 ),
                                 Parameter("split-index").value("{{item}}"),
                             ]
+                            + (
+                                [
+                                    Parameter("root-input-path").value(
+                                        "argo-{{workflow.name}}/%s/{{tasks.%s.outputs.parameters.task-id}}"
+                                        % (node.name, self._sanitize(node.name))
+                                    ),
+                                ]
+                                if parent_foreach
+                                else []
+                            )
+                            + (
+                                # Disabiguate parameters for a regular `foreach` vs a `@parallel` foreach
+                                [
+                                    Parameter("num-parallel").value(
+                                        "{{tasks.%s.outputs.parameters.num-parallel}}"
+                                        % self._sanitize(node.name)
+                                    ),
+                                    Parameter("task-id-entropy").value(
+                                        "{{tasks.%s.outputs.parameters.task-id-entropy}}"
+                                        % self._sanitize(node.name)
+                                    ),
+                                ]
+                                if node.parallel_foreach
+                                else []
+                            )
                         )
                     )
                     .with_param(
+                        # For @parallel workloads `num-splits` will be explicitly set to one so that
+                        # we can piggyback on the current mechanism with which we leverage argo.
                         "{{tasks.%s.outputs.parameters.num-splits}}"
                         % self._sanitize(node.name)
                     )
                 )
                 dag_tasks.append(foreach_task)
                 templates, dag_tasks_1 = _visit(
-                    self.graph[node.out_funcs[0]], node.matching_join, templates, []
+                    self.graph[node.out_funcs[0]],
+                    node.matching_join,
+                    templates,
+                    [],
+                    node.name,
                 )
+
+                # How do foreach's work on Argo:
+                # Lets say you have the following dag: (start[sets `foreach="x"`]) --> (task-a [actual foreach]) --> (join) --> (end)
+                # With argo we will :
+                # (start [sets num-splits]) --> (task-a-foreach-(0,0) [dummy task]) --> (task-a) --> (join) --> (end)
+                # The (task-a-foreach-(0,0) [dummy task]) propagates the values of the `split-index` and the input paths.
+                # to the actual foreach task.
                 templates.append(
                     Template(foreach_template_name)
                     .inputs(
                         Inputs().parameters(
                             [Parameter("input-paths"), Parameter("split-index")]
+                            + ([Parameter("root-input-path")] if parent_foreach else [])
+                            + (
+                                [
+                                    Parameter("num-parallel"),
+                                    Parameter("task-id-entropy"),
+                                    # Parameter("workerCount")
+                                ]
+                                if node.parallel_foreach
+                                else []
+                            )
                         )
                     )
                     .outputs(
                         Outputs().parameters(
                             [
+                                # non @parallel tasks set task-ids as outputs
                                 Parameter("task-id").valueFrom(
                                     {
                                         "parameter": "{{tasks.%s.outputs.parameters.task-id}}"
@@ -686,25 +1241,76 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                                     }
                                 )
                             ]
+                            if not node.parallel_foreach
+                            else [
+                                # @parallel tasks set `task-id-entropy` and `num-parallel`
+                                # as outputs so task-ids can be derived in the join step.
+                                # Both of these values should be propagated from the
+                                # jobset labels.
+                                Parameter("num-parallel").valueFrom(
+                                    {
+                                        "parameter": "{{tasks.%s.outputs.parameters.num-parallel}}"
+                                        % self._sanitize(
+                                            self.graph[node.matching_join].in_funcs[0]
+                                        )
+                                    }
+                                ),
+                                Parameter("task-id-entropy").valueFrom(
+                                    {
+                                        "parameter": "{{tasks.%s.outputs.parameters.task-id-entropy}}"
+                                        % self._sanitize(
+                                            self.graph[node.matching_join].in_funcs[0]
+                                        )
+                                    }
+                                ),
+                            ]
                         )
                     )
                     .dag(DAGTemplate().fail_fast().tasks(dag_tasks_1))
                 )
+
                 join_foreach_task = (
                     DAGTask(self._sanitize(self.graph[node.matching_join].name))
                     .template(self._sanitize(self.graph[node.matching_join].name))
                     .dependencies([foreach_template_name])
                     .arguments(
                         Arguments().parameters(
-                            [
-                                Parameter("input-paths").value(
-                                    "argo-{{workflow.name}}/%s/{{tasks.%s.outputs.parameters}}"
-                                    % (
-                                        self.graph[node.matching_join].in_funcs[-1],
-                                        foreach_template_name,
-                                    )
-                                )
-                            ]
+                            (
+                                [
+                                    Parameter("input-paths").value(
+                                        "argo-{{workflow.name}}/%s/{{tasks.%s.outputs.parameters.task-id}}"
+                                        % (node.name, self._sanitize(node.name))
+                                    ),
+                                    Parameter("split-cardinality").value(
+                                        "{{tasks.%s.outputs.parameters.split-cardinality}}"
+                                        % self._sanitize(node.name)
+                                    ),
+                                ]
+                                if not node.parallel_foreach
+                                else [
+                                    Parameter("num-parallel").value(
+                                        "{{tasks.%s.outputs.parameters.num-parallel}}"
+                                        % self._sanitize(node.name)
+                                    ),
+                                    Parameter("task-id-entropy").value(
+                                        "{{tasks.%s.outputs.parameters.task-id-entropy}}"
+                                        % self._sanitize(node.name)
+                                    ),
+                                ]
+                            )
+                            + (
+                                [
+                                    Parameter("split-index").value(
+                                        # TODO : Pass down these parameters to the jobset stuff.
+                                        "{{inputs.parameters.split-index}}"
+                                    ),
+                                    Parameter("root-input-path").value(
+                                        "{{inputs.parameters.input-paths}}"
+                                    ),
+                                ]
+                                if parent_foreach
+                                else []
+                            )
                         )
                     )
                 )
@@ -714,11 +1320,16 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                     exit_node,
                     templates,
                     dag_tasks,
+                    parent_foreach,
                 )
             # For linear nodes continue traversing to the next node
             if node.type in ("linear", "join", "start"):
                 return _visit(
-                    self.graph[node.out_funcs[0]], exit_node, templates, dag_tasks
+                    self.graph[node.out_funcs[0]],
+                    exit_node,
+                    templates,
+                    dag_tasks,
+                    parent_foreach,
                 )
             else:
                 raise ArgoWorkflowsException(
@@ -726,7 +1337,13 @@ def _visit(node, exit_node=None, templates=None, dag_tasks=None):
                     "Argo Workflows." % (node.type, node.name)
                 )
 
-        templates, _ = _visit(node=self.graph["start"])
+        # Generate daemon tasks
+        daemon_tasks = [
+            DAGTask("%s-task" % daemon_template.name).template(daemon_template.name)
+            for daemon_template in self._daemon_templates()
+        ]
+
+        templates, _ = _visit(node=self.graph["start"], dag_tasks=daemon_tasks)
         return templates
 
     # Visit every node and yield ContainerTemplates.
@@ -761,17 +1378,69 @@ def _container_templates(self):
             # Ideally, we would like these task ids to be the same as node name
             # (modulo retry suffix) on Argo Workflows but that doesn't seem feasible
             # right now.
-            task_str = node.name + "-{{workflow.creationTimestamp}}"
-            if node.name != "start":
-                task_str += "-{{inputs.parameters.input-paths}}"
+
+            task_idx = ""
+            input_paths = ""
+            root_input = None
+            # export input_paths as it is used multiple times in the container script
+            # and we do not want to repeat the values.
+            input_paths_expr = "export INPUT_PATHS=''"
+            # If node is not a start step or a @parallel join then we will set the input paths.
+            # To set the input-paths as a parameter, we need to ensure that the node
+            # is not (a start node or a parallel join node). Start nodes will have no
+            # input paths and parallel join will derive input paths based on a
+            # formulaic approach using `num-parallel` and `task-id-entropy`.
+            if not (
+                node.name == "start"
+                or (node.type == "join" and self.graph[node.in_funcs[0]].parallel_step)
+            ):
+                # For parallel joins we don't pass the INPUT_PATHS but are dynamically constructed.
+                # So we don't need to set the input paths.
+                input_paths_expr = (
+                    "export INPUT_PATHS={{inputs.parameters.input-paths}}"
+                )
+                input_paths = "$(echo $INPUT_PATHS)"
             if any(self.graph[n].type == "foreach" for n in node.in_funcs):
-                task_str += "-{{inputs.parameters.split-index}}"
-            # Generated task_ids need to be non-numeric - see register_task_id in
-            # service.py. We do so by prefixing `t-`
-            task_id_expr = (
-                "export METAFLOW_TASK_ID="
-                "(t-$(echo %s | md5sum | cut -d ' ' -f 1 | tail -c 9))" % task_str
+                task_idx = "{{inputs.parameters.split-index}}"
+            if node.is_inside_foreach and self.graph[node.out_funcs[0]].type == "join":
+                if any(
+                    self.graph[parent].matching_join
+                    == self.graph[node.out_funcs[0]].name
+                    for parent in self.graph[node.out_funcs[0]].split_parents
+                    if self.graph[parent].type == "foreach"
+                ) and any(not self.graph[f].type == "foreach" for f in node.in_funcs):
+                    # we need to propagate the split-index and root-input-path info for
+                    # the last step inside a foreach for correctly joining nested
+                    # foreaches
+                    task_idx = "{{inputs.parameters.split-index}}"
+                    root_input = "{{inputs.parameters.root-input-path}}"
+
+            # Task string to be hashed into an ID
+            task_str = "-".join(
+                [
+                    node.name,
+                    "{{workflow.creationTimestamp}}",
+                    root_input or input_paths,
+                    task_idx,
+                ]
             )
+            if node.parallel_step:
+                task_str = "-".join(
+                    [
+                        "$TASK_ID_PREFIX",
+                        "{{inputs.parameters.task-id-entropy}}",
+                        "$TASK_ID_SUFFIX",
+                    ]
+                )
+            else:
+                # Generated task_ids need to be non-numeric - see register_task_id in
+                # service.py. We do so by prefixing `t-`
+                _task_id_base = (
+                    "$(echo %s | md5sum | cut -d ' ' -f 1 | tail -c 9)" % task_str
+                )
+                task_str = "(t-%s)" % _task_id_base
+
+            task_id_expr = "export METAFLOW_TASK_ID=" "%s" % task_str
             task_id = "$METAFLOW_TASK_ID"
 
             # Resolve retry strategy.
@@ -790,9 +1459,18 @@ def _container_templates(self):
             user_code_retries = max_user_code_retries
             total_retries = max_user_code_retries + max_error_retries
             # {{retries}} is only available if retryStrategy is specified
+            # For custom kubernetes manifests, we will pass the retryCount as a parameter
+            # and use that in the manifest.
             retry_count = (
-                "{{retries}}" if max_user_code_retries + max_error_retries else 0
+                (
+                    "{{retries}}"
+                    if not node.parallel_step
+                    else "{{inputs.parameters.retryCount}}"
+                )
+                if total_retries
+                else 0
             )
+
             minutes_between_retries = int(minutes_between_retries)
 
             # Configure log capture.
@@ -814,30 +1492,32 @@ def _container_templates(self):
                     # env var.
                     '${METAFLOW_INIT_SCRIPT:+eval \\"${METAFLOW_INIT_SCRIPT}\\"}',
                     "mkdir -p $PWD/.logs",
+                    input_paths_expr,
                     task_id_expr,
                     mflog_expr,
                 ]
                 + self.environment.get_package_commands(
-                    self.code_package_url, self.flow_datastore.TYPE
+                    self.code_package_url,
+                    self.flow_datastore.TYPE,
+                    self.code_package_metadata,
                 )
             )
             step_cmds = self.environment.bootstrap_commands(
                 node.name, self.flow_datastore.TYPE
             )
 
-            input_paths = "{{inputs.parameters.input-paths}}"
-
             top_opts_dict = {
                 "with": [
                     decorator.make_decorator_spec()
                     for decorator in node.decorators
                     if not decorator.statically_defined
+                    and decorator.inserted_by is None
                 ]
             }
             # FlowDecorators can define their own top-level options. They are
             # responsible for adding their own top-level options and values through
             # the get_top_level_options() hook. See similar logic in runtime.py.
-            for deco in flow_decorators():
+            for deco in flow_decorators(self.flow):
                 top_opts_dict.update(deco.get_top_level_options())
 
             top_level = list(dict_to_cli_options(top_opts_dict)) + [
@@ -849,7 +1529,7 @@ def _container_templates(self):
                 "--event-logger=%s" % self.event_logger.TYPE,
                 "--monitor=%s" % self.monitor.TYPE,
                 "--no-pylint",
-                "--with=argo_workflows_internal:auto-emit-argo-events=%s"
+                "--with=argo_workflows_internal:auto-emit-argo-events=%i"
                 % self.auto_emit_argo_events,
             ]
 
@@ -866,7 +1546,9 @@ def _container_templates(self):
                     ]
                     + [
                         # Parameter names can be hyphenated, hence we use
-                        # {{foo.bar['param_name']}}
+                        # {{foo.bar['param_name']}}.
+                        # https://argoproj.github.io/argo-events/tutorials/02-parameterization/
+                        # http://masterminds.github.io/sprig/strings.html
                         "--%s={{workflow.parameters.%s}}"
                         % (parameter["name"], parameter["name"])
                         for parameter in self.parameters.values()
@@ -893,11 +1575,27 @@ def _container_templates(self):
                 node.type == "join"
                 and self.graph[node.split_parents[-1]].type == "foreach"
             ):
-                # Set aggregated input-paths for a foreach-join
-                input_paths = (
-                    "$(python -m metaflow.plugins.argo.process_input_paths %s)"
-                    % input_paths
+                # Set aggregated input-paths for a for-each join
+                foreach_step = next(
+                    n for n in node.in_funcs if self.graph[n].is_inside_foreach
                 )
+                if not self.graph[node.split_parents[-1]].parallel_foreach:
+                    input_paths = (
+                        "$(python -m metaflow.plugins.argo.generate_input_paths %s {{workflow.creationTimestamp}} %s {{inputs.parameters.split-cardinality}})"
+                        % (
+                            foreach_step,
+                            input_paths,
+                        )
+                    )
+                else:
+                    # Handle @parallel where output from volume mount isn't accessible
+                    input_paths = (
+                        "$(python -m metaflow.plugins.argo.jobset_input_paths %s %s {{inputs.parameters.task-id-entropy}} {{inputs.parameters.num-parallel}})"
+                        % (
+                            run_id,
+                            foreach_step,
+                        )
+                    )
             step = [
                 "step",
                 node.name,
@@ -907,7 +1605,14 @@ def _container_templates(self):
                 "--max-user-code-retries %d" % user_code_retries,
                 "--input-paths %s" % input_paths,
             ]
-            if any(self.graph[n].type == "foreach" for n in node.in_funcs):
+            if node.parallel_step:
+                step.append(
+                    "--split-index ${MF_CONTROL_INDEX:-$((MF_WORKER_REPLICA_INDEX + 1))}"
+                )
+                # This is needed for setting the value of the UBF context in the CLI.
+                step.append("--ubf-context $UBF_CONTEXT")
+
+            elif any(self.graph[n].type == "foreach" for n in node.in_funcs):
                 # Pass split-index to a foreach task
                 step.append("--split-index {{inputs.parameters.split-index}}")
             if self.tags:
@@ -956,11 +1661,24 @@ def _container_templates(self):
                     0
                 ].attributes["vars"]
             )
+
+            # Temporary passing of *some* environment variables. Do not rely on this
+            # mechanism as it will be removed in the near future
+            env.update(
+                {
+                    k: v
+                    for k, v in config_values()
+                    if k.startswith("METAFLOW_CONDA_")
+                    or k.startswith("METAFLOW_DEBUG_")
+                }
+            )
+
             env.update(
                 {
                     **{
                         # These values are needed by Metaflow to set it's internal
-                        # state appropriately
+                        # state appropriately.
+                        "METAFLOW_CODE_METADATA": self.code_package_metadata,
                         "METAFLOW_CODE_URL": self.code_package_url,
                         "METAFLOW_CODE_SHA": self.code_package_sha,
                         "METAFLOW_CODE_DS": self.flow_datastore.TYPE,
@@ -978,16 +1696,18 @@ def _container_templates(self):
                         "METAFLOW_OWNER": self.username,
                     },
                     **{
-                        # Configuration for Argo Events
-                        # TODO: Move this to @kubernetes decorator instead.
+                        # Configuration for Argo Events. Keep these in sync with the
+                        # environment variables for @kubernetes decorator.
                         "METAFLOW_ARGO_EVENTS_EVENT": ARGO_EVENTS_EVENT,
                         "METAFLOW_ARGO_EVENTS_EVENT_BUS": ARGO_EVENTS_EVENT_BUS,
                         "METAFLOW_ARGO_EVENTS_EVENT_SOURCE": ARGO_EVENTS_EVENT_SOURCE,
                         "METAFLOW_ARGO_EVENTS_SERVICE_ACCOUNT": ARGO_EVENTS_SERVICE_ACCOUNT,
-                        "METAFLOW_ARGO_EVENTS_WEBHOOK_URL": ARGO_EVENTS_WEBHOOK_URL,
+                        "METAFLOW_ARGO_EVENTS_WEBHOOK_URL": ARGO_EVENTS_INTERNAL_WEBHOOK_URL,
+                        "METAFLOW_ARGO_EVENTS_WEBHOOK_AUTH": ARGO_EVENTS_WEBHOOK_AUTH,
                     },
                     **{
                         # Some optional values for bookkeeping
+                        "METAFLOW_FLOW_FILENAME": os.path.basename(sys.argv[0]),
                         "METAFLOW_FLOW_NAME": self.flow.name,
                         "METAFLOW_STEP_NAME": node.name,
                         "METAFLOW_RUN_ID": run_id,
@@ -1006,19 +1726,30 @@ def _container_templates(self):
 
             # support Metaflow sandboxes
             env["METAFLOW_INIT_SCRIPT"] = KUBERNETES_SANDBOX_INIT_SCRIPT
+            env["METAFLOW_KUBERNETES_SANDBOX_INIT_SCRIPT"] = (
+                KUBERNETES_SANDBOX_INIT_SCRIPT
+            )
 
             # support for @secret
             env["METAFLOW_DEFAULT_SECRETS_BACKEND_TYPE"] = DEFAULT_SECRETS_BACKEND_TYPE
-            env[
-                "METAFLOW_AWS_SECRETS_MANAGER_DEFAULT_REGION"
-            ] = AWS_SECRETS_MANAGER_DEFAULT_REGION
+            env["METAFLOW_AWS_SECRETS_MANAGER_DEFAULT_REGION"] = (
+                AWS_SECRETS_MANAGER_DEFAULT_REGION
+            )
+            env["METAFLOW_GCP_SECRET_MANAGER_PREFIX"] = GCP_SECRET_MANAGER_PREFIX
+            env["METAFLOW_AZURE_KEY_VAULT_PREFIX"] = AZURE_KEY_VAULT_PREFIX
 
             # support for Azure
-            env[
-                "METAFLOW_AZURE_STORAGE_BLOB_SERVICE_ENDPOINT"
-            ] = AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
+            env["METAFLOW_AZURE_STORAGE_BLOB_SERVICE_ENDPOINT"] = (
+                AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
+            )
             env["METAFLOW_DATASTORE_SYSROOT_AZURE"] = DATASTORE_SYSROOT_AZURE
             env["METAFLOW_CARD_AZUREROOT"] = CARD_AZUREROOT
+            env["METAFLOW_ARGO_WORKFLOWS_KUBERNETES_SECRETS"] = (
+                ARGO_WORKFLOWS_KUBERNETES_SECRETS
+            )
+            env["METAFLOW_ARGO_WORKFLOWS_ENV_VARS_TO_SKIP"] = (
+                ARGO_WORKFLOWS_ENV_VARS_TO_SKIP
+            )
 
             # support for GCP
             env["METAFLOW_DATASTORE_SYSROOT_GS"] = DATASTORE_SYSROOT_GS
@@ -1032,11 +1763,22 @@ def _container_templates(self):
                         % (event["type"], event["sanitized_name"])
                     ] = ("{{workflow.parameters.%s}}" % event["sanitized_name"])
 
+            # Map S3 upload headers to environment variables
+            if S3_SERVER_SIDE_ENCRYPTION is not None:
+                env["METAFLOW_S3_SERVER_SIDE_ENCRYPTION"] = S3_SERVER_SIDE_ENCRYPTION
+
             metaflow_version = self.environment.get_environment_info()
             metaflow_version["flow_name"] = self.graph.name
             metaflow_version["production_token"] = self.production_token
             env["METAFLOW_VERSION"] = json.dumps(metaflow_version)
 
+            # map config values
+            cfg_env = {
+                param["name"]: param["kv_name"] for param in self.config_parameters
+            }
+            if cfg_env:
+                env["METAFLOW_FLOW_CONFIG_VALUE"] = json.dumps(cfg_env)
+
             # Set the template inputs and outputs for passing state. Very simply,
             # the container template takes in input-paths as input and outputs
             # the task-id (which feeds in as input-paths to the subsequent task).
@@ -1045,22 +1787,94 @@ def _container_templates(self):
             # input. Analogously, if the node under consideration is a foreach
             # node, then we emit split cardinality as an extra output. I would like
             # to thank the designers of Argo Workflows for making this so
-            # straightforward!
+            # straightforward! Things become a bit more complicated to support very
+            # wide foreaches where we have to resort to passing a root-input-path
+            # so that we can compute the task ids for each parent task of a for-each
+            # join task deterministically inside the join task without resorting to
+            # passing a rather long list of (albiet compressed)
             inputs = []
-            if node.name != "start":
+            # To set the input-paths as a parameter, we need to ensure that the node
+            # is not (a start node or a parallel join node). Start nodes will have no
+            # input paths and parallel join will derive input paths based on a
+            # formulaic approach.
+            if not (
+                node.name == "start"
+                or (node.type == "join" and self.graph[node.in_funcs[0]].parallel_step)
+            ):
                 inputs.append(Parameter("input-paths"))
             if any(self.graph[n].type == "foreach" for n in node.in_funcs):
                 # Fetch split-index from parent
                 inputs.append(Parameter("split-index"))
 
+            if (
+                node.type == "join"
+                and self.graph[node.split_parents[-1]].type == "foreach"
+            ):
+                # @parallel join tasks require `num-parallel` and `task-id-entropy`
+                # to construct the input paths, so we pass them down as input parameters.
+                if self.graph[node.split_parents[-1]].parallel_foreach:
+                    inputs.extend(
+                        [Parameter("num-parallel"), Parameter("task-id-entropy")]
+                    )
+                else:
+                    # append this only for joins of foreaches, not static splits
+                    inputs.append(Parameter("split-cardinality"))
+            # check if the node is a @parallel node.
+            elif node.parallel_step:
+                inputs.extend(
+                    [
+                        Parameter("num-parallel"),
+                        Parameter("task-id-entropy"),
+                        Parameter("jobset-name"),
+                        Parameter("workerCount"),
+                    ]
+                )
+                if any(d.name == "retry" for d in node.decorators):
+                    inputs.append(Parameter("retryCount"))
+
+            if node.is_inside_foreach and self.graph[node.out_funcs[0]].type == "join":
+                if any(
+                    self.graph[parent].matching_join
+                    == self.graph[node.out_funcs[0]].name
+                    for parent in self.graph[node.out_funcs[0]].split_parents
+                    if self.graph[parent].type == "foreach"
+                ) and any(not self.graph[f].type == "foreach" for f in node.in_funcs):
+                    # we need to propagate the split-index and root-input-path info for
+                    # the last step inside a foreach for correctly joining nested
+                    # foreaches
+                    if not any(self.graph[n].type == "foreach" for n in node.in_funcs):
+                        # Don't add duplicate split index parameters.
+                        inputs.append(Parameter("split-index"))
+                    inputs.append(Parameter("root-input-path"))
+
             outputs = []
-            if node.name != "end":
+            # @parallel steps will not have a task-id as an output parameter since task-ids
+            # are derived at runtime.
+            if not (node.name == "end" or node.parallel_step):
                 outputs = [Parameter("task-id").valueFrom({"path": "/mnt/out/task_id"})]
             if node.type == "foreach":
                 # Emit split cardinality from foreach task
                 outputs.append(
                     Parameter("num-splits").valueFrom({"path": "/mnt/out/splits"})
                 )
+                outputs.append(
+                    Parameter("split-cardinality").valueFrom(
+                        {"path": "/mnt/out/split_cardinality"}
+                    )
+                )
+
+            if node.parallel_foreach:
+                outputs.extend(
+                    [
+                        Parameter("num-parallel").valueFrom(
+                            {"path": "/mnt/out/num_parallel"}
+                        ),
+                        Parameter("task-id-entropy").valueFrom(
+                            {"path": "/mnt/out/task_id_entropy"}
+                        ),
+                    ]
+                )
+            # Outputs should be defined over here and not in the _dag_template for @parallel.
 
             # It makes no sense to set env vars to None (shows up as "None" string)
             # Also we skip some env vars (e.g. in case we want to pull them from KUBERNETES_SECRETS)
@@ -1076,143 +1890,1195 @@ def _container_templates(self):
             tmpfs_size = resources["tmpfs_size"]
             tmpfs_path = resources["tmpfs_path"]
             tmpfs_tempdir = resources["tmpfs_tempdir"]
+            # Set shared_memory to 0 if it isn't specified. This results
+            # in Kubernetes using it's default value when the pod is created.
+            shared_memory = resources.get("shared_memory", 0)
+            port = resources.get("port", None)
+            if port:
+                port = int(port)
 
             tmpfs_enabled = use_tmpfs or (tmpfs_size and not use_tmpfs)
 
             if tmpfs_enabled and tmpfs_tempdir:
                 env["METAFLOW_TEMPDIR"] = tmpfs_path
 
+            qos_requests, qos_limits = qos_requests_and_limits(
+                resources["qos"],
+                resources["cpu"],
+                resources["memory"],
+                resources["disk"],
+            )
+
+            security_context = resources.get("security_context", None)
+            _security_context = {}
+            if security_context is not None and len(security_context) > 0:
+                _security_context = {
+                    "security_context": kubernetes_sdk.V1SecurityContext(
+                        **security_context
+                    )
+                }
+
             # Create a ContainerTemplate for this node. Ideally, we would have
             # liked to inline this ContainerTemplate and avoid scanning the workflow
             # twice, but due to issues with variable substitution, we will have to
             # live with this routine.
-            yield (
-                Template(self._sanitize(node.name))
-                # Set @timeout values
-                .active_deadline_seconds(run_time_limit)
-                # Set service account
-                .service_account_name(resources["service_account"])
-                # Configure template input
-                .inputs(Inputs().parameters(inputs))
-                # Configure template output
-                .outputs(Outputs().parameters(outputs))
-                # Fail fast!
-                .fail_fast()
-                # Set @retry/@catch values
-                .retry_strategy(
-                    times=total_retries,
-                    minutes_between_retries=minutes_between_retries,
+            if node.parallel_step:
+                jobset_name = "{{inputs.parameters.jobset-name}}"
+                jobset = KubernetesArgoJobSet(
+                    kubernetes_sdk=kubernetes_sdk,
+                    name=jobset_name,
+                    flow_name=self.flow.name,
+                    run_id=run_id,
+                    step_name=self._sanitize(node.name),
+                    task_id=task_id,
+                    attempt=retry_count,
+                    user=self.username,
+                    subdomain=jobset_name,
+                    command=cmds,
+                    namespace=resources["namespace"],
+                    image=resources["image"],
+                    image_pull_policy=resources["image_pull_policy"],
+                    image_pull_secrets=resources["image_pull_secrets"],
+                    service_account=resources["service_account"],
+                    secrets=(
+                        [
+                            k
+                            for k in (
+                                list(
+                                    []
+                                    if not resources.get("secrets")
+                                    else (
+                                        [resources.get("secrets")]
+                                        if isinstance(resources.get("secrets"), str)
+                                        else resources.get("secrets")
+                                    )
+                                )
+                                + KUBERNETES_SECRETS.split(",")
+                                + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
+                            )
+                            if k
+                        ]
+                    ),
+                    node_selector=resources.get("node_selector"),
+                    cpu=str(resources["cpu"]),
+                    memory=str(resources["memory"]),
+                    disk=str(resources["disk"]),
+                    gpu=resources["gpu"],
+                    gpu_vendor=str(resources["gpu_vendor"]),
+                    tolerations=resources["tolerations"],
+                    use_tmpfs=use_tmpfs,
+                    tmpfs_tempdir=tmpfs_tempdir,
+                    tmpfs_size=tmpfs_size,
+                    tmpfs_path=tmpfs_path,
+                    timeout_in_seconds=run_time_limit,
+                    persistent_volume_claims=resources["persistent_volume_claims"],
+                    shared_memory=shared_memory,
+                    port=port,
+                    qos=resources["qos"],
+                    security_context=security_context,
+                )
+
+                for k, v in env.items():
+                    jobset.environment_variable(k, v)
+
+                # Set labels. Do not allow user-specified task labels to override internal ones.
+                #
+                # Explicitly add the task-id-hint label. This is important because this label
+                # is returned as an Output parameter of this step and is used subsequently as an
+                # an input in the join step.
+                kubernetes_labels = {
+                    "task_id_entropy": "{{inputs.parameters.task-id-entropy}}",
+                    "num_parallel": "{{inputs.parameters.num-parallel}}",
+                    "metaflow/argo-workflows-name": "{{workflow.name}}",
+                    "workflows.argoproj.io/workflow": "{{workflow.name}}",
+                }
+                jobset.labels(
+                    {
+                        **resources["labels"],
+                        **self._base_labels,
+                        **kubernetes_labels,
+                    }
+                )
+
+                jobset.environment_variable(
+                    "MF_MASTER_ADDR", jobset.jobset_control_addr
+                )
+                jobset.environment_variable("MF_MASTER_PORT", str(port))
+                jobset.environment_variable(
+                    "MF_WORLD_SIZE", "{{inputs.parameters.num-parallel}}"
+                )
+                # We need this task-id set so that all the nodes are aware of the control
+                # task's task-id. These "MF_" variables populate the `current.parallel` namedtuple
+                jobset.environment_variable(
+                    "MF_PARALLEL_CONTROL_TASK_ID",
+                    "control-{{inputs.parameters.task-id-entropy}}-0",
                 )
-                .metadata(
-                    ObjectMeta().annotation("metaflow/step_name", node.name)
-                    # Unfortunately, we can't set the task_id since it is generated
-                    # inside the pod. However, it can be inferred from the annotation
-                    # set by argo-workflows - `workflows.argoproj.io/outputs` - refer
-                    # the field 'task-id' in 'parameters'
-                    # .annotation("metaflow/task_id", ...)
-                    .annotation("metaflow/attempt", retry_count)
+                # for k, v in .items():
+                jobset.environment_variables_from_selectors(
+                    {
+                        "MF_WORKER_REPLICA_INDEX": "metadata.annotations['jobset.sigs.k8s.io/job-index']",
+                        "JOBSET_RESTART_ATTEMPT": "metadata.annotations['jobset.sigs.k8s.io/restart-attempt']",
+                        "METAFLOW_KUBERNETES_JOBSET_NAME": "metadata.annotations['jobset.sigs.k8s.io/jobset-name']",
+                        "METAFLOW_KUBERNETES_POD_NAMESPACE": "metadata.namespace",
+                        "METAFLOW_KUBERNETES_POD_NAME": "metadata.name",
+                        "METAFLOW_KUBERNETES_POD_ID": "metadata.uid",
+                        "METAFLOW_KUBERNETES_SERVICE_ACCOUNT_NAME": "spec.serviceAccountName",
+                        "METAFLOW_KUBERNETES_NODE_IP": "status.hostIP",
+                        "TASK_ID_SUFFIX": "metadata.annotations['jobset.sigs.k8s.io/job-index']",
+                    }
                 )
-                # Set emptyDir volume for state management
-                .empty_dir_volume("out")
-                # Set tmpfs emptyDir volume if enabled
-                .empty_dir_volume(
-                    "tmpfs-ephemeral-volume",
-                    medium="Memory",
-                    size_limit=tmpfs_size if tmpfs_enabled else 0,
+
+                # Set annotations. Do not allow user-specified task-specific annotations to override internal ones.
+                annotations = {
+                    # setting annotations explicitly as they wont be
+                    # passed down from WorkflowTemplate level
+                    "metaflow/step_name": node.name,
+                    "metaflow/attempt": str(retry_count),
+                    "metaflow/run_id": run_id,
+                }
+
+                jobset.annotations(
+                    {
+                        **resources["annotations"],
+                        **self._base_annotations,
+                        **annotations,
+                    }
                 )
-                # Set node selectors
-                .node_selectors(resources.get("node_selector"))
-                .tolerations(resources.get("tolerations"))
-                # Set container
-                .container(
-                    # TODO: Unify the logic with kubernetes.py
-                    # Important note - Unfortunately, V1Container uses snakecase while
-                    # Argo Workflows uses camel. For most of the attributes, both cases
-                    # are indistinguishable, but unfortunately, not for all - (
-                    # env_from, value_from, etc.) - so we need to handle the conversion
-                    # ourselves using to_camelcase. We need to be vigilant about
-                    # resources attributes in particular where the keys maybe user
-                    # defined.
-                    to_camelcase(
-                        kubernetes_sdk.V1Container(
-                            name=self._sanitize(node.name),
-                            command=cmds,
-                            env=[
-                                kubernetes_sdk.V1EnvVar(name=k, value=str(v))
-                                for k, v in env.items()
+
+                jobset.control.replicas(1)
+                jobset.worker.replicas("{{=asInt(inputs.parameters.workerCount)}}")
+                jobset.control.environment_variable("UBF_CONTEXT", UBF_CONTROL)
+                jobset.worker.environment_variable("UBF_CONTEXT", UBF_TASK)
+                jobset.control.environment_variable("MF_CONTROL_INDEX", "0")
+                # `TASK_ID_PREFIX` needs to explicitly be `control` or `worker`
+                # because the join task uses a formulaic approach to infer the task-ids
+                jobset.control.environment_variable("TASK_ID_PREFIX", "control")
+                jobset.worker.environment_variable("TASK_ID_PREFIX", "worker")
+
+                yield (
+                    Template(ArgoWorkflows._sanitize(node.name))
+                    .resource(
+                        "create",
+                        jobset.dump(),
+                        "status.terminalState == Completed",
+                        "status.terminalState == Failed",
+                    )
+                    .inputs(Inputs().parameters(inputs))
+                    .outputs(
+                        Outputs().parameters(
+                            [
+                                Parameter("task-id-entropy").valueFrom(
+                                    {"jsonPath": "{.metadata.labels.task_id_entropy}"}
+                                ),
+                                Parameter("num-parallel").valueFrom(
+                                    {"jsonPath": "{.metadata.labels.num_parallel}"}
+                                ),
                             ]
-                            # Add environment variables for book-keeping.
-                            # https://argoproj.github.io/argo-workflows/fields/#fields_155
-                            + [
-                                kubernetes_sdk.V1EnvVar(
-                                    name=k,
-                                    value_from=kubernetes_sdk.V1EnvVarSource(
-                                        field_ref=kubernetes_sdk.V1ObjectFieldSelector(
-                                            field_path=str(v)
+                        )
+                    )
+                    .retry_strategy(
+                        times=total_retries,
+                        minutes_between_retries=minutes_between_retries,
+                    )
+                )
+            else:
+                yield (
+                    Template(self._sanitize(node.name))
+                    # Set @timeout values
+                    .active_deadline_seconds(run_time_limit)
+                    # Set service account
+                    .service_account_name(resources["service_account"])
+                    # Configure template input
+                    .inputs(Inputs().parameters(inputs))
+                    # Configure template output
+                    .outputs(Outputs().parameters(outputs))
+                    # Fail fast!
+                    .fail_fast()
+                    # Set @retry/@catch values
+                    .retry_strategy(
+                        times=total_retries,
+                        minutes_between_retries=minutes_between_retries,
+                    )
+                    .metadata(
+                        ObjectMeta()
+                        .annotation("metaflow/step_name", node.name)
+                        # Unfortunately, we can't set the task_id since it is generated
+                        # inside the pod. However, it can be inferred from the annotation
+                        # set by argo-workflows - `workflows.argoproj.io/outputs` - refer
+                        # the field 'task-id' in 'parameters'
+                        # .annotation("metaflow/task_id", ...)
+                        .annotation("metaflow/attempt", retry_count)
+                        .annotations(resources["annotations"])
+                        .labels(resources["labels"])
+                    )
+                    # Set emptyDir volume for state management
+                    .empty_dir_volume("out")
+                    # Set tmpfs emptyDir volume if enabled
+                    .empty_dir_volume(
+                        "tmpfs-ephemeral-volume",
+                        medium="Memory",
+                        size_limit=tmpfs_size if tmpfs_enabled else 0,
+                    )
+                    .empty_dir_volume("dhsm", medium="Memory", size_limit=shared_memory)
+                    .pvc_volumes(resources.get("persistent_volume_claims"))
+                    # Set node selectors
+                    .node_selectors(resources.get("node_selector"))
+                    # Set tolerations
+                    .tolerations(resources.get("tolerations"))
+                    # Set image pull secrets if present. We need to use pod_spec_patch due to Argo not supporting this on a template level.
+                    .pod_spec_patch(
+                        {
+                            "imagePullSecrets": [
+                                {"name": secret}
+                                for secret in resources["image_pull_secrets"]
+                            ]
+                        }
+                        if resources["image_pull_secrets"]
+                        else None
+                    )
+                    # Set container
+                    .container(
+                        # TODO: Unify the logic with kubernetes.py
+                        # Important note - Unfortunately, V1Container uses snakecase while
+                        # Argo Workflows uses camel. For most of the attributes, both cases
+                        # are indistinguishable, but unfortunately, not for all - (
+                        # env_from, value_from, etc.) - so we need to handle the conversion
+                        # ourselves using to_camelcase. We need to be vigilant about
+                        # resources attributes in particular where the keys maybe user
+                        # defined.
+                        to_camelcase(
+                            kubernetes_sdk.V1Container(
+                                name=self._sanitize(node.name),
+                                command=cmds,
+                                termination_message_policy="FallbackToLogsOnError",
+                                ports=(
+                                    [
+                                        kubernetes_sdk.V1ContainerPort(
+                                            container_port=port
                                         )
-                                    ),
-                                )
-                                for k, v in {
-                                    "METAFLOW_KUBERNETES_POD_NAMESPACE": "metadata.namespace",
-                                    "METAFLOW_KUBERNETES_POD_NAME": "metadata.name",
-                                    "METAFLOW_KUBERNETES_POD_ID": "metadata.uid",
-                                    "METAFLOW_KUBERNETES_SERVICE_ACCOUNT_NAME": "spec.serviceAccountName",
-                                    "METAFLOW_KUBERNETES_NODE_IP": "status.hostIP",
-                                }.items()
-                            ],
-                            image=resources["image"],
-                            resources=kubernetes_sdk.V1ResourceRequirements(
-                                requests={
-                                    "cpu": str(resources["cpu"]),
-                                    "memory": "%sM" % str(resources["memory"]),
-                                    "ephemeral-storage": "%sM" % str(resources["disk"]),
-                                },
-                                limits={
-                                    "%s.com/gpu".lower()
-                                    % resources["gpu_vendor"]: str(resources["gpu"])
-                                    for k in [0]
-                                    if resources["gpu"] is not None
-                                },
-                            ),
-                            # Configure secrets
-                            env_from=[
-                                kubernetes_sdk.V1EnvFromSource(
-                                    secret_ref=kubernetes_sdk.V1SecretEnvSource(
-                                        name=str(k),
-                                        # optional=True
+                                    ]
+                                    if port
+                                    else None
+                                ),
+                                env=[
+                                    kubernetes_sdk.V1EnvVar(name=k, value=str(v))
+                                    for k, v in env.items()
+                                ]
+                                # Add environment variables for book-keeping.
+                                # https://argoproj.github.io/argo-workflows/fields/#fields_155
+                                + [
+                                    kubernetes_sdk.V1EnvVar(
+                                        name=k,
+                                        value_from=kubernetes_sdk.V1EnvVarSource(
+                                            field_ref=kubernetes_sdk.V1ObjectFieldSelector(
+                                                field_path=str(v)
+                                            )
+                                        ),
+                                    )
+                                    for k, v in {
+                                        "METAFLOW_KUBERNETES_NAMESPACE": "metadata.namespace",
+                                        "METAFLOW_KUBERNETES_POD_NAMESPACE": "metadata.namespace",
+                                        "METAFLOW_KUBERNETES_POD_NAME": "metadata.name",
+                                        "METAFLOW_KUBERNETES_POD_ID": "metadata.uid",
+                                        "METAFLOW_KUBERNETES_SERVICE_ACCOUNT_NAME": "spec.serviceAccountName",
+                                        "METAFLOW_KUBERNETES_NODE_IP": "status.hostIP",
+                                    }.items()
+                                ],
+                                image=resources["image"],
+                                image_pull_policy=resources["image_pull_policy"],
+                                resources=kubernetes_sdk.V1ResourceRequirements(
+                                    requests=qos_requests,
+                                    limits={
+                                        **qos_limits,
+                                        **{
+                                            "%s.com/gpu".lower()
+                                            % resources["gpu_vendor"]: str(
+                                                resources["gpu"]
+                                            )
+                                            for k in [0]
+                                            if resources["gpu"] is not None
+                                        },
+                                    },
+                                ),
+                                # Configure secrets
+                                env_from=[
+                                    kubernetes_sdk.V1EnvFromSource(
+                                        secret_ref=kubernetes_sdk.V1SecretEnvSource(
+                                            name=str(k),
+                                            # optional=True
+                                        )
+                                    )
+                                    for k in list(
+                                        []
+                                        if not resources.get("secrets")
+                                        else (
+                                            [resources.get("secrets")]
+                                            if isinstance(resources.get("secrets"), str)
+                                            else resources.get("secrets")
+                                        )
+                                    )
+                                    + KUBERNETES_SECRETS.split(",")
+                                    + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
+                                    if k
+                                ],
+                                volume_mounts=[
+                                    # Assign a volume mount to pass state to the next task.
+                                    kubernetes_sdk.V1VolumeMount(
+                                        name="out", mount_path="/mnt/out"
                                     )
+                                ]
+                                # Support tmpfs.
+                                + (
+                                    [
+                                        kubernetes_sdk.V1VolumeMount(
+                                            name="tmpfs-ephemeral-volume",
+                                            mount_path=tmpfs_path,
+                                        )
+                                    ]
+                                    if tmpfs_enabled
+                                    else []
                                 )
-                                for k in list(
-                                    []
-                                    if not resources.get("secrets")
-                                    else [resources.get("secrets")]
+                                # Support shared_memory
+                                + (
+                                    [
+                                        kubernetes_sdk.V1VolumeMount(
+                                            name="dhsm",
+                                            mount_path="/dev/shm",
+                                        )
+                                    ]
+                                    if shared_memory
+                                    else []
+                                )
+                                # Support persistent volume claims.
+                                + (
+                                    [
+                                        kubernetes_sdk.V1VolumeMount(
+                                            name=claim, mount_path=path
+                                        )
+                                        for claim, path in resources.get(
+                                            "persistent_volume_claims"
+                                        ).items()
+                                    ]
+                                    if resources.get("persistent_volume_claims")
+                                    is not None
+                                    else []
+                                ),
+                                **_security_context,
+                            ).to_dict()
+                        )
+                    )
+                )
+
+    # Return daemon container templates for workflow execution notifications.
+    def _daemon_templates(self):
+        templates = []
+        if self.enable_heartbeat_daemon:
+            templates.append(self._heartbeat_daemon_template())
+        return templates
+
+    # Return lifecycle hooks for workflow execution notifications.
+    def _lifecycle_hooks(self):
+        hooks = []
+        if self.notify_on_error:
+            hooks.append(self._slack_error_template())
+            hooks.append(self._pager_duty_alert_template())
+            hooks.append(self._incident_io_alert_template())
+        if self.notify_on_success:
+            hooks.append(self._slack_success_template())
+            hooks.append(self._pager_duty_change_template())
+            hooks.append(self._incident_io_change_template())
+
+        exit_hook_decos = self.flow._flow_decorators.get("exit_hook", [])
+
+        for deco in exit_hook_decos:
+            hooks.extend(self._lifecycle_hook_from_deco(deco))
+
+        # Clean up None values from templates.
+        hooks = list(filter(None, hooks))
+
+        if hooks:
+            hooks.append(
+                ExitHookHack(
+                    url=(
+                        self.notify_slack_webhook_url
+                        or "https://events.pagerduty.com/v2/enqueue"
+                    )
+                )
+            )
+        return hooks
+
+    def _lifecycle_hook_from_deco(self, deco):
+        from kubernetes import client as kubernetes_sdk
+
+        start_step = [step for step in self.graph if step.name == "start"][0]
+        # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster,
+        # and it might contain the required libraries, allowing us to start up faster.
+        start_kube_deco = [
+            deco for deco in start_step.decorators if deco.name == "kubernetes"
+        ][0]
+        resources = dict(start_kube_deco.attributes)
+        kube_defaults = dict(start_kube_deco.defaults)
+
+        run_id_template = "argo-{{workflow.name}}"
+        metaflow_version = self.environment.get_environment_info()
+        metaflow_version["flow_name"] = self.graph.name
+        metaflow_version["production_token"] = self.production_token
+        env = {
+            # These values are needed by Metaflow to set it's internal
+            # state appropriately.
+            "METAFLOW_CODE_URL": self.code_package_url,
+            "METAFLOW_CODE_SHA": self.code_package_sha,
+            "METAFLOW_CODE_DS": self.flow_datastore.TYPE,
+            "METAFLOW_SERVICE_URL": SERVICE_INTERNAL_URL,
+            "METAFLOW_SERVICE_HEADERS": json.dumps(SERVICE_HEADERS),
+            "METAFLOW_USER": "argo-workflows",
+            "METAFLOW_DEFAULT_DATASTORE": self.flow_datastore.TYPE,
+            "METAFLOW_DEFAULT_METADATA": DEFAULT_METADATA,
+            "METAFLOW_OWNER": self.username,
+        }
+        # pass on the Run pathspec for script
+        env["RUN_PATHSPEC"] = f"{self.graph.name}/{run_id_template}"
+
+        # support Metaflow sandboxes
+        env["METAFLOW_INIT_SCRIPT"] = KUBERNETES_SANDBOX_INIT_SCRIPT
+
+        env["METAFLOW_WORKFLOW_NAME"] = "{{workflow.name}}"
+        env["METAFLOW_WORKFLOW_NAMESPACE"] = "{{workflow.namespace}}"
+        env = {
+            k: v
+            for k, v in env.items()
+            if v is not None
+            and k not in set(ARGO_WORKFLOWS_ENV_VARS_TO_SKIP.split(","))
+        }
+
+        def _cmd(fn_name):
+            mflog_expr = export_mflog_env_vars(
+                datastore_type=self.flow_datastore.TYPE,
+                stdout_path="$PWD/.logs/mflog_stdout",
+                stderr_path="$PWD/.logs/mflog_stderr",
+                flow_name=self.flow.name,
+                run_id=run_id_template,
+                step_name=f"_hook_{fn_name}",
+                task_id="1",
+                retry_count="0",
+            )
+            cmds = " && ".join(
+                [
+                    # For supporting sandboxes, ensure that a custom script is executed
+                    # before anything else is executed. The script is passed in as an
+                    # env var.
+                    '${METAFLOW_INIT_SCRIPT:+eval \\"${METAFLOW_INIT_SCRIPT}\\"}',
+                    "mkdir -p $PWD/.logs",
+                    mflog_expr,
+                ]
+                + self.environment.get_package_commands(
+                    self.code_package_url, self.flow_datastore.TYPE
+                )[:-1]
+                # Replace the line 'Task in starting'
+                + [f"mflog 'Lifecycle hook {fn_name} is starting.'"]
+                + [
+                    f"python -m metaflow.plugins.exit_hook.exit_hook_script {metaflow_version['script']} {fn_name} $RUN_PATHSPEC"
+                ]
+            )
+
+            cmds = shlex.split('bash -c "%s"' % cmds)
+            return cmds
+
+        def _container(cmds):
+            return to_camelcase(
+                kubernetes_sdk.V1Container(
+                    name="main",
+                    command=cmds,
+                    image=deco.attributes["options"].get("image", None)
+                    or resources["image"],
+                    env=[
+                        kubernetes_sdk.V1EnvVar(name=k, value=str(v))
+                        for k, v in env.items()
+                    ],
+                    env_from=[
+                        kubernetes_sdk.V1EnvFromSource(
+                            secret_ref=kubernetes_sdk.V1SecretEnvSource(
+                                name=str(k),
+                                # optional=True
+                            )
+                        )
+                        for k in list(
+                            []
+                            if not resources.get("secrets")
+                            else (
+                                [resources.get("secrets")]
+                                if isinstance(resources.get("secrets"), str)
+                                else resources.get("secrets")
+                            )
+                        )
+                        + KUBERNETES_SECRETS.split(",")
+                        + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
+                        if k
+                    ],
+                    resources=kubernetes_sdk.V1ResourceRequirements(
+                        requests={
+                            "cpu": str(kube_defaults["cpu"]),
+                            "memory": "%sM" % str(kube_defaults["memory"]),
+                        }
+                    ),
+                ).to_dict()
+            )
+
+        # create lifecycle hooks from deco
+        hooks = []
+        for success_fn_name in deco.success_hooks:
+            hook = ContainerHook(
+                name=f"success-{success_fn_name.replace('_', '-')}",
+                container=_container(cmds=_cmd(success_fn_name)),
+                service_account_name=resources["service_account"],
+                on_success=True,
+            )
+            hooks.append(hook)
+
+        for error_fn_name in deco.error_hooks:
+            hook = ContainerHook(
+                name=f"error-{error_fn_name.replace('_', '-')}",
+                service_account_name=resources["service_account"],
+                container=_container(cmds=_cmd(error_fn_name)),
+                on_error=True,
+            )
+            hooks.append(hook)
+
+        return hooks
+
+    def _exit_hook_templates(self):
+        templates = []
+        if self.enable_error_msg_capture:
+            templates.extend(self._error_msg_capture_hook_templates())
+
+        return templates
+
+    def _error_msg_capture_hook_templates(self):
+        from kubernetes import client as kubernetes_sdk
+
+        start_step = [step for step in self.graph if step.name == "start"][0]
+        # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster,
+        # and it might contain the required libraries, allowing us to start up faster.
+        resources = dict(
+            [deco for deco in start_step.decorators if deco.name == "kubernetes"][
+                0
+            ].attributes
+        )
+
+        run_id_template = "argo-{{workflow.name}}"
+        metaflow_version = self.environment.get_environment_info()
+        metaflow_version["flow_name"] = self.graph.name
+        metaflow_version["production_token"] = self.production_token
+
+        mflog_expr = export_mflog_env_vars(
+            datastore_type=self.flow_datastore.TYPE,
+            stdout_path="$PWD/.logs/mflog_stdout",
+            stderr_path="$PWD/.logs/mflog_stderr",
+            flow_name=self.flow.name,
+            run_id=run_id_template,
+            step_name="_run_capture_error",
+            task_id="1",
+            retry_count="0",
+        )
+
+        cmds = " && ".join(
+            [
+                # For supporting sandboxes, ensure that a custom script is executed
+                # before anything else is executed. The script is passed in as an
+                # env var.
+                '${METAFLOW_INIT_SCRIPT:+eval \\"${METAFLOW_INIT_SCRIPT}\\"}',
+                "mkdir -p $PWD/.logs",
+                mflog_expr,
+            ]
+            + self.environment.get_package_commands(
+                self.code_package_url,
+                self.flow_datastore.TYPE,
+                self.code_package_metadata,
+            )[:-1]
+            # Replace the line 'Task in starting'
+            # FIXME: this can be brittle.
+            + ["mflog 'Error capture hook is starting.'"]
+            + ["argo_error=$(python -m 'metaflow.plugins.argo.capture_error')"]
+            + ["export METAFLOW_ARGO_ERROR=$argo_error"]
+            + [
+                """python -c 'import json, os; error_obj=os.getenv(\\"METAFLOW_ARGO_ERROR\\");data=json.loads(error_obj); print(data[\\"message\\"])'"""
+            ]
+            + [
+                'if [ -n \\"${METAFLOW_ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT}\\" ]; then eval \\"${METAFLOW_ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT}\\"; fi'
+            ]
+        )
+
+        # TODO: Also capture the first failed task id
+        cmds = shlex.split('bash -c "%s"' % cmds)
+        env = {
+            # These values are needed by Metaflow to set it's internal
+            # state appropriately.
+            "METAFLOW_CODE_METADATA": self.code_package_metadata,
+            "METAFLOW_CODE_URL": self.code_package_url,
+            "METAFLOW_CODE_SHA": self.code_package_sha,
+            "METAFLOW_CODE_DS": self.flow_datastore.TYPE,
+            "METAFLOW_SERVICE_URL": SERVICE_INTERNAL_URL,
+            "METAFLOW_SERVICE_HEADERS": json.dumps(SERVICE_HEADERS),
+            "METAFLOW_USER": "argo-workflows",
+            "METAFLOW_DEFAULT_DATASTORE": self.flow_datastore.TYPE,
+            "METAFLOW_DEFAULT_METADATA": DEFAULT_METADATA,
+            "METAFLOW_OWNER": self.username,
+        }
+        # support Metaflow sandboxes
+        env["METAFLOW_INIT_SCRIPT"] = KUBERNETES_SANDBOX_INIT_SCRIPT
+        env["METAFLOW_ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT"] = (
+            ARGO_WORKFLOWS_CAPTURE_ERROR_SCRIPT
+        )
+
+        env["METAFLOW_WORKFLOW_NAME"] = "{{workflow.name}}"
+        env["METAFLOW_WORKFLOW_NAMESPACE"] = "{{workflow.namespace}}"
+        env["METAFLOW_ARGO_WORKFLOW_FAILURES"] = "{{workflow.failures}}"
+        env = {
+            k: v
+            for k, v in env.items()
+            if v is not None
+            and k not in set(ARGO_WORKFLOWS_ENV_VARS_TO_SKIP.split(","))
+        }
+        return [
+            Template("error-msg-capture-hook")
+            .service_account_name(resources["service_account"])
+            .container(
+                to_camelcase(
+                    kubernetes_sdk.V1Container(
+                        name="main",
+                        command=cmds,
+                        image=resources["image"],
+                        env=[
+                            kubernetes_sdk.V1EnvVar(name=k, value=str(v))
+                            for k, v in env.items()
+                        ],
+                        env_from=[
+                            kubernetes_sdk.V1EnvFromSource(
+                                secret_ref=kubernetes_sdk.V1SecretEnvSource(
+                                    name=str(k),
+                                    # optional=True
+                                )
+                            )
+                            for k in list(
+                                []
+                                if not resources.get("secrets")
+                                else (
+                                    [resources.get("secrets")]
                                     if isinstance(resources.get("secrets"), str)
                                     else resources.get("secrets")
                                 )
-                                + KUBERNETES_SECRETS.split(",")
-                                + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
-                                if k
-                            ],
-                            # Assign a volume point to pass state to the next task.
-                            volume_mounts=[
-                                kubernetes_sdk.V1VolumeMount(
-                                    name="out", mount_path="/mnt/out"
+                            )
+                            + KUBERNETES_SECRETS.split(",")
+                            + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
+                            if k
+                        ],
+                        resources=kubernetes_sdk.V1ResourceRequirements(
+                            # NOTE: base resources for this are kept to a minimum to save on running costs.
+                            # This has an adverse effect on startup time for the daemon, which can be completely
+                            # alleviated by using a base image that has the required dependencies pre-installed
+                            requests={
+                                "cpu": "200m",
+                                "memory": "100Mi",
+                            },
+                            limits={
+                                "cpu": "200m",
+                                "memory": "500Mi",
+                            },
+                        ),
+                    ).to_dict()
+                )
+            ),
+            Template("capture-error-hook-fn-preflight").steps(
+                [
+                    WorkflowStep()
+                    .name("capture-error-hook-fn-preflight")
+                    .template("error-msg-capture-hook")
+                    .when("{{workflow.status}} != Succeeded")
+                ]
+            ),
+        ]
+
+    def _pager_duty_alert_template(self):
+        # https://developer.pagerduty.com/docs/ZG9jOjExMDI5NTgx-send-an-alert-event
+        if self.notify_pager_duty_integration_key is None:
+            return None
+        return HttpExitHook(
+            name="notify-pager-duty-on-error",
+            method="POST",
+            url="https://events.pagerduty.com/v2/enqueue",
+            headers={"Content-Type": "application/json"},
+            body=json.dumps(
+                {
+                    "event_action": "trigger",
+                    "routing_key": self.notify_pager_duty_integration_key,
+                    # "dedup_key": self.flow.name,  # TODO: Do we need deduplication?
+                    "payload": {
+                        "source": "{{workflow.name}}",
+                        "severity": "info",
+                        "summary": "Metaflow run %s/argo-{{workflow.name}} failed!"
+                        % self.flow.name,
+                        "custom_details": {
+                            "Flow": self.flow.name,
+                            "Run ID": "argo-{{workflow.name}}",
+                        },
+                    },
+                    "links": self._pager_duty_notification_links(),
+                }
+            ),
+            on_error=True,
+        )
+
+    def _incident_io_alert_template(self):
+        if self.notify_incident_io_api_key is None:
+            return None
+        if self.incident_io_alert_source_config_id is None:
+            raise MetaflowException(
+                "Creating alerts for errors requires a alert source config ID."
+            )
+        ui_links = self._incident_io_ui_urls_for_run()
+        return HttpExitHook(
+            name="notify-incident-io-on-error",
+            method="POST",
+            url=(
+                "https://api.incident.io/v2/alert_events/http/%s"
+                % self.incident_io_alert_source_config_id
+            ),
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": "Bearer %s" % self.notify_incident_io_api_key,
+            },
+            body=json.dumps(
+                {
+                    "idempotency_key": "argo-{{workflow.name}}",  # use run id to deduplicate alerts.
+                    "status": "firing",
+                    "title": "Flow %s has failed." % self.flow.name,
+                    "description": "Metaflow run {run_pathspec} failed!{urls}".format(
+                        run_pathspec="%s/argo-{{workflow.name}}" % self.flow.name,
+                        urls=(
+                            "\n\nSee details for the run at:\n\n"
+                            + "\n\n".join(ui_links)
+                            if ui_links
+                            else ""
+                        ),
+                    ),
+                    "source_url": (
+                        "%s/%s/%s"
+                        % (
+                            UI_URL.rstrip("/"),
+                            self.flow.name,
+                            "argo-{{workflow.name}}",
+                        )
+                        if UI_URL
+                        else None
+                    ),
+                    "metadata": {
+                        **(self.incident_io_metadata or {}),
+                        **{
+                            "run_status": "failed",
+                            "flow_name": self.flow.name,
+                            "run_id": "argo-{{workflow.name}}",
+                        },
+                    },
+                }
+            ),
+            on_error=True,
+        )
+
+    def _incident_io_change_template(self):
+        if self.notify_incident_io_api_key is None:
+            return None
+        if self.incident_io_alert_source_config_id is None:
+            raise MetaflowException(
+                "Creating alerts for successes requires an alert source config ID."
+            )
+        ui_links = self._incident_io_ui_urls_for_run()
+        return HttpExitHook(
+            name="notify-incident-io-on-success",
+            method="POST",
+            url=(
+                "https://api.incident.io/v2/alert_events/http/%s"
+                % self.incident_io_alert_source_config_id
+            ),
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": "Bearer %s" % self.notify_incident_io_api_key,
+            },
+            body=json.dumps(
+                {
+                    "idempotency_key": "argo-{{workflow.name}}",  # use run id to deduplicate alerts.
+                    "status": "firing",
+                    "title": "Flow %s has succeeded." % self.flow.name,
+                    "description": "Metaflow run {run_pathspec} succeeded!{urls}".format(
+                        run_pathspec="%s/argo-{{workflow.name}}" % self.flow.name,
+                        urls=(
+                            "\n\nSee details for the run at:\n\n"
+                            + "\n\n".join(ui_links)
+                            if ui_links
+                            else ""
+                        ),
+                    ),
+                    "source_url": (
+                        "%s/%s/%s"
+                        % (
+                            UI_URL.rstrip("/"),
+                            self.flow.name,
+                            "argo-{{workflow.name}}",
+                        )
+                        if UI_URL
+                        else None
+                    ),
+                    "metadata": {
+                        **(self.incident_io_metadata or {}),
+                        **{
+                            "run_status": "succeeded",
+                            "flow_name": self.flow.name,
+                            "run_id": "argo-{{workflow.name}}",
+                        },
+                    },
+                }
+            ),
+            on_success=True,
+        )
+
+    def _incident_io_ui_urls_for_run(self):
+        links = []
+        if UI_URL:
+            url = "[Metaflow UI](%s/%s/%s)" % (
+                UI_URL.rstrip("/"),
+                self.flow.name,
+                "argo-{{workflow.name}}",
+            )
+            links.append(url)
+        if ARGO_WORKFLOWS_UI_URL:
+            url = "[Argo UI](%s/workflows/%s/%s)" % (
+                ARGO_WORKFLOWS_UI_URL.rstrip("/"),
+                "{{workflow.namespace}}",
+                "{{workflow.name}}",
+            )
+            links.append(url)
+        return links
+
+    def _pager_duty_change_template(self):
+        # https://developer.pagerduty.com/docs/ZG9jOjExMDI5NTgy-send-a-change-event
+        if self.notify_pager_duty_integration_key is None:
+            return None
+        return HttpExitHook(
+            name="notify-pager-duty-on-success",
+            method="POST",
+            url="https://events.pagerduty.com/v2/change/enqueue",
+            headers={"Content-Type": "application/json"},
+            body=json.dumps(
+                {
+                    "routing_key": self.notify_pager_duty_integration_key,
+                    "payload": {
+                        "summary": "Metaflow run %s/argo-{{workflow.name}} Succeeded"
+                        % self.flow.name,
+                        "source": "{{workflow.name}}",
+                        "custom_details": {
+                            "Flow": self.flow.name,
+                            "Run ID": "argo-{{workflow.name}}",
+                        },
+                    },
+                    "links": self._pager_duty_notification_links(),
+                }
+            ),
+            on_success=True,
+        )
+
+    def _pager_duty_notification_links(self):
+        links = []
+        if UI_URL:
+            links.append(
+                {
+                    "href": "%s/%s/%s"
+                    % (UI_URL.rstrip("/"), self.flow.name, "argo-{{workflow.name}}"),
+                    "text": "Metaflow UI",
+                }
+            )
+        if ARGO_WORKFLOWS_UI_URL:
+            links.append(
+                {
+                    "href": "%s/workflows/%s/%s"
+                    % (
+                        ARGO_WORKFLOWS_UI_URL.rstrip("/"),
+                        "{{workflow.namespace}}",
+                        "{{workflow.name}}",
+                    ),
+                    "text": "Argo UI",
+                }
+            )
+
+        return links
+
+    def _get_slack_blocks(self, message):
+        """
+        Use Slack's Block Kit to add general information about the environment and
+        execution metadata, including a link to the UI and an optional message.
+        """
+        ui_link = "%s/%s/argo-{{workflow.name}}" % (UI_URL.rstrip("/"), self.flow.name)
+        # fmt: off
+        if getattr(current, "project_name", None):
+            # Add @project metadata when available.
+            environment_details_block = {
+                "type": "section",
+                "text": {
+                    "type": "mrkdwn",
+                    "text": "Environment details"
+                },
+                "fields": [
+                    {
+                        "type": "mrkdwn",
+                        "text": "*Project:* %s" % current.project_name
+                    },
+                    {
+                        "type": "mrkdwn",
+                        "text": "*Project Branch:* %s" % current.branch_name
+                    }
+                ]
+            }
+        else:
+            environment_details_block = {
+                "type": "section",
+                "text": {
+                    "type": "mrkdwn",
+                    "text": "Environment details"
+                }
+            }
+
+        blocks = [
+            environment_details_block,
+            {
+                "type": "context",
+                "elements": [
+                    {
+                        "type": "mrkdwn",
+                        "text": " :information_source: *<%s>*" % ui_link,
+                    }
+                ],
+            },
+            {
+                "type": "divider"
+            },
+        ]
+
+        if message:
+            blocks += [
+                {
+                    "type": "section",
+                    "text": {
+                        "type": "mrkdwn",
+                        "text": message
+                    }
+                }
+            ]
+        # fmt: on
+        return blocks
+
+    def _slack_error_template(self):
+        if self.notify_slack_webhook_url is None:
+            return None
+
+        message = (
+            ":rotating_light: _%s/argo-{{workflow.name}}_ failed!" % self.flow.name
+        )
+        payload = {"text": message}
+        if UI_URL:
+            blocks = self._get_slack_blocks(message)
+            payload = {"text": message, "blocks": blocks}
+
+        return HttpExitHook(
+            name="notify-slack-on-error",
+            method="POST",
+            url=self.notify_slack_webhook_url,
+            body=json.dumps(payload),
+            on_error=True,
+        )
+
+    def _slack_success_template(self):
+        if self.notify_slack_webhook_url is None:
+            return None
+
+        message = (
+            ":white_check_mark: _%s/argo-{{workflow.name}}_ succeeded!" % self.flow.name
+        )
+        payload = {"text": message}
+        if UI_URL:
+            blocks = self._get_slack_blocks(message)
+            payload = {"text": message, "blocks": blocks}
+
+        return HttpExitHook(
+            name="notify-slack-on-success",
+            method="POST",
+            url=self.notify_slack_webhook_url,
+            body=json.dumps(payload),
+            on_success=True,
+        )
+
+    def _heartbeat_daemon_template(self):
+        # Use all the affordances available to _parameters task
+        executable = self.environment.executable("_parameters")
+        run_id = "argo-{{workflow.name}}"
+        script_name = os.path.basename(sys.argv[0])
+        entrypoint = [executable, script_name]
+        # FlowDecorators can define their own top-level options. These might affect run level information
+        # so it is important to pass these to the heartbeat process as well, as it might be the first task to register a run.
+        top_opts_dict = {}
+        for deco in flow_decorators(self.flow):
+            top_opts_dict.update(deco.get_top_level_options())
+
+        top_level = list(dict_to_cli_options(top_opts_dict)) + [
+            "--quiet",
+            "--metadata=%s" % self.metadata.TYPE,
+            "--environment=%s" % self.environment.TYPE,
+            "--datastore=%s" % self.flow_datastore.TYPE,
+            "--datastore-root=%s" % self.flow_datastore.datastore_root,
+            "--event-logger=%s" % self.event_logger.TYPE,
+            "--monitor=%s" % self.monitor.TYPE,
+            "--no-pylint",
+            "--with=argo_workflows_internal:auto-emit-argo-events=%i"
+            % self.auto_emit_argo_events,
+        ]
+        heartbeat_cmds = "{entrypoint} {top_level} argo-workflows heartbeat --run_id {run_id} {tags}".format(
+            entrypoint=" ".join(entrypoint),
+            top_level=" ".join(top_level) if top_level else "",
+            run_id=run_id,
+            tags=" ".join(["--tag %s" % t for t in self.tags]) if self.tags else "",
+        )
+
+        # TODO: we do not really need MFLOG logging for the daemon at the moment, but might be good for the future.
+        # Consider if we can do without this setup.
+        # Configure log capture.
+        mflog_expr = export_mflog_env_vars(
+            datastore_type=self.flow_datastore.TYPE,
+            stdout_path="$PWD/.logs/mflog_stdout",
+            stderr_path="$PWD/.logs/mflog_stderr",
+            flow_name=self.flow.name,
+            run_id=run_id,
+            step_name="_run_heartbeat_daemon",
+            task_id="1",
+            retry_count="0",
+        )
+        # TODO: Can the init be trimmed down?
+        # Can we do without get_package_commands fetching the whole code package?
+        init_cmds = " && ".join(
+            [
+                # For supporting sandboxes, ensure that a custom script is executed
+                # before anything else is executed. The script is passed in as an
+                # env var.
+                '${METAFLOW_INIT_SCRIPT:+eval \\"${METAFLOW_INIT_SCRIPT}\\"}',
+                "mkdir -p $PWD/.logs",
+                mflog_expr,
+            ]
+            + self.environment.get_package_commands(
+                self.code_package_url,
+                self.flow_datastore.TYPE,
+            )[:-1]
+            # Replace the line 'Task in starting'
+            # FIXME: this can be brittle.
+            + ["mflog 'Heartbeat daemon is starting.'"]
+        )
+
+        cmd_str = " && ".join([init_cmds, heartbeat_cmds])
+        cmds = shlex.split('bash -c "%s"' % cmd_str)
+
+        # Env required for sending heartbeats to the metadata service, nothing extra.
+        # prod token / runtime info is required to correctly register flow branches
+        env = {
+            # These values are needed by Metaflow to set it's internal
+            # state appropriately.
+            "METAFLOW_CODE_METADATA": self.code_package_metadata,
+            "METAFLOW_CODE_URL": self.code_package_url,
+            "METAFLOW_CODE_SHA": self.code_package_sha,
+            "METAFLOW_CODE_DS": self.flow_datastore.TYPE,
+            "METAFLOW_SERVICE_URL": SERVICE_INTERNAL_URL,
+            "METAFLOW_SERVICE_HEADERS": json.dumps(SERVICE_HEADERS),
+            "METAFLOW_USER": "argo-workflows",
+            "METAFLOW_DATASTORE_SYSROOT_S3": DATASTORE_SYSROOT_S3,
+            "METAFLOW_DATATOOLS_S3ROOT": DATATOOLS_S3ROOT,
+            "METAFLOW_DEFAULT_DATASTORE": self.flow_datastore.TYPE,
+            "METAFLOW_DEFAULT_METADATA": DEFAULT_METADATA,
+            "METAFLOW_CARD_S3ROOT": CARD_S3ROOT,
+            "METAFLOW_KUBERNETES_WORKLOAD": 1,
+            "METAFLOW_KUBERNETES_FETCH_EC2_METADATA": KUBERNETES_FETCH_EC2_METADATA,
+            "METAFLOW_RUNTIME_ENVIRONMENT": "kubernetes",
+            "METAFLOW_OWNER": self.username,
+            "METAFLOW_PRODUCTION_TOKEN": self.production_token,  # Used in identity resolving. This affects system tags.
+        }
+        # support Metaflow sandboxes
+        env["METAFLOW_INIT_SCRIPT"] = KUBERNETES_SANDBOX_INIT_SCRIPT
+
+        # cleanup env values
+        env = {
+            k: v
+            for k, v in env.items()
+            if v is not None
+            and k not in set(ARGO_WORKFLOWS_ENV_VARS_TO_SKIP.split(","))
+        }
+
+        # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster,
+        # and it might contain the required libraries, allowing us to start up faster.
+        start_step = next(step for step in self.flow if step.name == "start")
+        resources = dict(
+            [deco for deco in start_step.decorators if deco.name == "kubernetes"][
+                0
+            ].attributes
+        )
+        from kubernetes import client as kubernetes_sdk
+
+        return (
+            DaemonTemplate("heartbeat-daemon")
+            # NOTE: Even though a retry strategy does not work for Argo daemon containers,
+            # this has the side-effect of protecting the exit hooks of the workflow from failing in case the daemon container errors out.
+            .retry_strategy(10, 1)
+            .service_account_name(resources["service_account"])
+            .container(
+                to_camelcase(
+                    kubernetes_sdk.V1Container(
+                        name="main",
+                        # TODO: Make the image configurable
+                        image=resources["image"],
+                        command=cmds,
+                        env=[
+                            kubernetes_sdk.V1EnvVar(name=k, value=str(v))
+                            for k, v in env.items()
+                        ],
+                        env_from=[
+                            kubernetes_sdk.V1EnvFromSource(
+                                secret_ref=kubernetes_sdk.V1SecretEnvSource(
+                                    name=str(k),
+                                    # optional=True
                                 )
-                            ]
-                            + (
-                                [
-                                    kubernetes_sdk.V1VolumeMount(
-                                        name="tmpfs-ephemeral-volume",
-                                        mount_path=tmpfs_path,
-                                    )
-                                ]
-                                if tmpfs_enabled
-                                else []
-                            ),
-                        ).to_dict()
+                            )
+                            for k in list(
+                                []
+                                if not resources.get("secrets")
+                                else (
+                                    [resources.get("secrets")]
+                                    if isinstance(resources.get("secrets"), str)
+                                    else resources.get("secrets")
+                                )
+                            )
+                            + KUBERNETES_SECRETS.split(",")
+                            + ARGO_WORKFLOWS_KUBERNETES_SECRETS.split(",")
+                            if k
+                        ],
+                        resources=kubernetes_sdk.V1ResourceRequirements(
+                            # NOTE: base resources for this are kept to a minimum to save on running costs.
+                            # This has an adverse effect on startup time for the daemon, which can be completely
+                            # alleviated by using a base image that has the required dependencies pre-installed
+                            requests={
+                                "cpu": "200m",
+                                "memory": "100Mi",
+                            },
+                            limits={
+                                "cpu": "200m",
+                                "memory": "100Mi",
+                            },
+                        ),
                     )
-                )
+                ).to_dict()
             )
+        )
 
     def _compile_sensor(self):
         # This method compiles a Metaflow @trigger decorator into Argo Events Sensor.
@@ -1274,7 +3140,7 @@ def _compile_sensor(self):
                 "https://argoproj.github.io/argo-events/eventsources/naming/. "
                 "It is very likely that all events for your deployment share the "
                 "same name. You can configure it by executing "
-                "`metaflow configure events` or setting METAFLOW_ARGO_EVENTS_EVENT "
+                "`metaflow configure kubernetes` or setting METAFLOW_ARGO_EVENTS_EVENT "
                 "in your configuration. If in doubt, reach out for support at "
                 "http://chat.metaflow.org"
             )
@@ -1286,7 +3152,7 @@ def _compile_sensor(self):
                 "An Argo Event Source name hasn't been configured for your deployment "
                 "yet. Please see this article for more details on event names - "
                 "https://argoproj.github.io/argo-events/eventsources/naming/. "
-                "You can configure it by executing `metaflow configure events` or "
+                "You can configure it by executing `metaflow configure kubernetes` or "
                 "setting METAFLOW_ARGO_EVENTS_EVENT_SOURCE in your configuration. If "
                 "in doubt, reach out for support at http://chat.metaflow.org"
             )
@@ -1297,7 +3163,7 @@ def _compile_sensor(self):
                 "An Argo Event service account hasn't been configured for your "
                 "deployment yet. Please see this article for more details on event "
                 "names - https://argoproj.github.io/argo-events/service-accounts/. "
-                "You can configure it by executing `metaflow configure events` or "
+                "You can configure it by executing `metaflow configure kubernetes` or "
                 "setting METAFLOW_ARGO_EVENTS_SERVICE_ACCOUNT in your configuration. "
                 "If in doubt, reach out for support at http://chat.metaflow.org"
             )
@@ -1313,33 +3179,16 @@ def _compile_sensor(self):
                 "sdk (https://pypi.org/project/kubernetes/) first."
             )
 
-        labels = {"app.kubernetes.io/part-of": "metaflow"}
-
-        annotations = {
-            "metaflow/production_token": self.production_token,
-            "metaflow/owner": self.username,
-            "metaflow/user": "argo-workflows",
-            "metaflow/flow_name": self.flow.name,
-        }
-        if current.get("project_name"):
-            annotations.update(
-                {
-                    "metaflow/project_name": current.project_name,
-                    "metaflow/branch_name": current.branch_name,
-                    "metaflow/project_flow_name": current.project_flow_name,
-                }
-            )
-
         return (
             Sensor()
             .metadata(
                 # Sensor metadata.
                 ObjectMeta()
-                .name(self.name.replace(".", "-"))
+                .name(ArgoWorkflows._sensor_name(self.name))
                 .namespace(KUBERNETES_NAMESPACE)
+                .labels(self._base_labels)
                 .label("app.kubernetes.io/name", "metaflow-sensor")
-                .label("app.kubernetes.io/part-of", "metaflow")
-                .annotations(annotations)
+                .annotations(self._base_annotations)
             )
             .spec(
                 SensorSpec().template(
@@ -1349,7 +3198,7 @@ def _compile_sensor(self):
                         ObjectMeta()
                         .label("app.kubernetes.io/name", "metaflow-sensor")
                         .label("app.kubernetes.io/part-of", "metaflow")
-                        .annotations(annotations)
+                        .annotations(self._base_annotations)
                     )
                     .container(
                         # Run sensor in guaranteed QoS. The sensor isn't doing a lot
@@ -1369,7 +3218,7 @@ def _compile_sensor(self):
                                         "memory": "250Mi",
                                     },
                                 ),
-                            )
+                            ).to_dict()
                         )
                     )
                     .service_account_name(ARGO_EVENTS_SERVICE_ACCOUNT)
@@ -1396,6 +3245,18 @@ def _compile_sensor(self):
                                         "metadata": {
                                             "generateName": "%s-" % self.name,
                                             "namespace": KUBERNETES_NAMESPACE,
+                                            # Useful to paint the UI
+                                            "annotations": {
+                                                "metaflow/triggered_by": json.dumps(
+                                                    [
+                                                        {
+                                                            key: trigger.get(key)
+                                                            for key in ["name", "type"]
+                                                        }
+                                                        for trigger in self.triggers
+                                                    ]
+                                                )
+                                            },
                                         },
                                         "spec": {
                                             "arguments": {
@@ -1431,14 +3292,40 @@ def _compile_sensor(self):
                                                 # Technically, we don't need to create
                                                 # a payload carry-on and can stuff
                                                 # everything within the body.
-                                                data_key="body.payload.%s" % v,
+                                                # NOTE: We need the conditional logic in order to successfully fall back to the default value
+                                                # when the event payload does not contain a key for a parameter.
+                                                # NOTE: Keys might contain dashes, so use the safer 'get' for fetching the value
+                                                data_template='{{ if (hasKey $.Input.body.payload "%s") }}{{- (get $.Input.body.payload "%s" %s) -}}{{- else -}}{{ (fail "use-default-instead") }}{{- end -}}'
+                                                % (
+                                                    v,
+                                                    v,
+                                                    (
+                                                        "| toRawJson | squote"
+                                                        if self.parameters[
+                                                            parameter_name
+                                                        ]["type"]
+                                                        == "JSON"
+                                                        else "| toRawJson"
+                                                    ),
+                                                ),
                                                 # Unfortunately the sensor needs to
                                                 # record the default values for
                                                 # the parameters - there doesn't seem
                                                 # to be any way for us to skip
-                                                value=self.parameters[parameter_name][
-                                                    "value"
-                                                ],
+                                                value=(
+                                                    json.dumps(
+                                                        self.parameters[parameter_name][
+                                                            "value"
+                                                        ]
+                                                    )
+                                                    if self.parameters[parameter_name][
+                                                        "type"
+                                                    ]
+                                                    == "JSON"
+                                                    else self.parameters[
+                                                        parameter_name
+                                                    ]["value"]
+                                                ),
                                             )
                                             .dest(
                                                 # this undocumented (mis?)feature in
@@ -1624,7 +3511,7 @@ def label(self, key, value):
     def labels(self, labels):
         if "labels" not in self.payload:
             self.payload["labels"] = {}
-        self.payload["labels"].update(labels)
+        self.payload["labels"].update(labels or {})
         return self
 
     def name(self, name):
@@ -1642,6 +3529,34 @@ def __str__(self):
         return json.dumps(self.to_json(), indent=4)
 
 
+class WorkflowStep(object):
+    def __init__(self):
+        tree = lambda: defaultdict(tree)
+        self.payload = tree()
+
+    def name(self, name):
+        self.payload["name"] = str(name)
+        return self
+
+    def template(self, template):
+        self.payload["template"] = str(template)
+        return self
+
+    def when(self, condition):
+        self.payload["when"] = str(condition)
+        return self
+
+    def step(self, expression):
+        self.payload["expression"] = str(expression)
+        return self
+
+    def to_json(self):
+        return self.payload
+
+    def __str__(self):
+        return json.dumps(self.to_json(), indent=4)
+
+
 class WorkflowSpec(object):
     # https://argoproj.github.io/argo-workflows/fields/#workflowspec
     # This object sets all Workflow level properties.
@@ -1672,6 +3587,11 @@ def entrypoint(self, entrypoint):
         self.payload["entrypoint"] = entrypoint
         return self
 
+    def onExit(self, on_exit_template):
+        if on_exit_template:
+            self.payload["onExit"] = on_exit_template
+        return self
+
     def parallelism(self, parallelism):
         # Set parallelism at Workflow level
         self.payload["parallelism"] = int(parallelism)
@@ -1702,6 +3622,14 @@ def templates(self, templates):
             self.payload["templates"].append(template.to_json())
         return self
 
+    def hooks(self, hooks):
+        # https://argoproj.github.io/argo-workflows/fields/#lifecyclehook
+        if "hooks" not in self.payload:
+            self.payload["hooks"] = {}
+        for k, v in hooks.items():
+            self.payload["hooks"].update({k: v.to_json()})
+        return self
+
     def to_json(self):
         return self.payload
 
@@ -1733,7 +3661,7 @@ def label(self, key, value):
     def labels(self, labels):
         if "labels" not in self.payload:
             self.payload["labels"] = {}
-        self.payload["labels"].update(labels)
+        self.payload["labels"].update(labels or {})
         return self
 
     def labels_from(self, labels_from):
@@ -1752,6 +3680,38 @@ def __str__(self):
         return json.dumps(self.to_json(), indent=4)
 
 
+class DaemonTemplate(object):
+    def __init__(self, name):
+        tree = lambda: defaultdict(tree)
+        self.name = name
+        self.payload = tree()
+        self.payload["daemon"] = True
+        self.payload["name"] = name
+
+    def container(self, container):
+        self.payload["container"] = container
+        return self
+
+    def service_account_name(self, service_account_name):
+        self.payload["serviceAccountName"] = service_account_name
+        return self
+
+    def retry_strategy(self, times, minutes_between_retries):
+        if times > 0:
+            self.payload["retryStrategy"] = {
+                "retryPolicy": "Always",
+                "limit": times,
+                "backoff": {"duration": "%sm" % minutes_between_retries},
+            }
+        return self
+
+    def to_json(self):
+        return self.payload
+
+    def __str__(self):
+        return json.dumps(self.payload, indent=4)
+
+
 class Template(object):
     # https://argoproj.github.io/argo-workflows/fields/#template
 
@@ -1770,12 +3730,28 @@ def dag(self, dag_template):
         self.payload["dag"] = dag_template.to_json()
         return self
 
+    def steps(self, steps):
+        if "steps" not in self.payload:
+            self.payload["steps"] = []
+        # steps is a list of lists.
+        # hence we go over every item in the incoming list
+        # serialize it and then append the list to the payload
+        step_list = []
+        for step in steps:
+            step_list.append(step.to_json())
+        self.payload["steps"].append(step_list)
+        return self
+
     def container(self, container):
         # Luckily this can simply be V1Container and we are spared from writing more
         # boilerplate - https://github.com/kubernetes-client/python/blob/master/kubernetes/docs/V1Container.md.
         self.payload["container"] = container
         return self
 
+    def http(self, http):
+        self.payload["http"] = http.to_json()
+        return self
+
     def inputs(self, inputs):
         self.payload["inputs"] = inputs.to_json()
         return self
@@ -1838,6 +3814,34 @@ def empty_dir_volume(self, name, medium=None, size_limit=None):
         )
         return self
 
+    def pvc_volumes(self, pvcs=None):
+        """
+        Create and attach Persistent Volume Claims as volumes.
+
+        Parameters:
+        -----------
+        pvcs: Optional[Dict]
+            a dictionary of pvc's and the paths they should be mounted to. e.g.
+            {"pv-claim-1": "/mnt/path1", "pv-claim-2": "/mnt/path2"}
+        """
+        if pvcs is None:
+            return self
+        if "volumes" not in self.payload:
+            self.payload["volumes"] = []
+        for claim in pvcs.keys():
+            self.payload["volumes"].append(
+                {"name": claim, "persistentVolumeClaim": {"claimName": claim}}
+            )
+        return self
+
+    def pod_spec_patch(self, pod_spec_patch=None):
+        if pod_spec_patch is None:
+            return self
+
+        self.payload["podSpecPatch"] = json.dumps(pod_spec_patch)
+
+        return self
+
     def node_selectors(self, node_selectors):
         if "nodeSelector" not in self.payload:
             self.payload["nodeSelector"] = {}
@@ -1852,6 +3856,15 @@ def tolerations(self, tolerations):
     def to_json(self):
         return self.payload
 
+    def resource(self, action, manifest, success_criteria, failure_criteria):
+        self.payload["resource"] = {}
+        self.payload["resource"]["action"] = action
+        self.payload["resource"]["setOwnerReference"] = True
+        self.payload["resource"]["successCondition"] = success_criteria
+        self.payload["resource"]["failureCondition"] = failure_criteria
+        self.payload["resource"]["manifest"] = manifest
+        return self
+
     def __str__(self):
         return json.dumps(self.payload, indent=4)
 
@@ -2255,10 +4268,11 @@ def __init__(self):
         tree = lambda: defaultdict(tree)
         self.payload = tree()
 
-    def src(self, dependency_name, data_key, value):
+    def src(self, dependency_name, value, data_key=None, data_template=None):
         self.payload["src"] = {
             "dependencyName": dependency_name,
             "dataKey": data_key,
+            "dataTemplate": data_template,
             "value": value,
             # explicitly set it to false to ensure proper deserialization
             "useRawData": False,
diff --git a/metaflow/plugins/argo/argo_workflows_cli.py b/metaflow/plugins/argo/argo_workflows_cli.py
index 0ef28b5f339..c4573fa2f10 100644
--- a/metaflow/plugins/argo/argo_workflows_cli.py
+++ b/metaflow/plugins/argo/argo_workflows_cli.py
@@ -3,13 +3,23 @@
 import platform
 import re
 import sys
-from distutils.version import LooseVersion
 from hashlib import sha1
+from time import sleep
 
-from metaflow import JSONType, current, decorators, parameters
+from metaflow import JSONType, Run, current, decorators, parameters
 from metaflow._vendor import click
-from metaflow.exception import MetaflowException, MetaflowInternalError
-from metaflow.metaflow_config import SERVICE_VERSION_CHECK, UI_URL
+from metaflow.exception import (
+    MetaflowException,
+    MetaflowInternalError,
+    MetaflowNotFound,
+)
+from metaflow.metaflow_config import (
+    ARGO_WORKFLOWS_UI_URL,
+    FEAT_ALWAYS_UPLOAD_CODE_PACKAGE,
+    KUBERNETES_NAMESPACE,
+    SERVICE_VERSION_CHECK,
+    UI_URL,
+)
 from metaflow.package import MetaflowPackage
 
 # TODO: Move production_token to utils
@@ -21,17 +31,28 @@
 from metaflow.plugins.environment_decorator import EnvironmentDecorator
 from metaflow.plugins.kubernetes.kubernetes_decorator import KubernetesDecorator
 from metaflow.tagging_util import validate_tags
-from metaflow.util import get_username, to_bytes, to_unicode
+from metaflow.util import get_username, to_bytes, to_unicode, version_parse
 
 from .argo_workflows import ArgoWorkflows
 
-VALID_NAME = re.compile("^[a-z0-9]([a-z0-9\.\-]*[a-z0-9])?$")
+VALID_NAME = re.compile(r"^[a-z0-9]([a-z0-9\.\-]*[a-z0-9])?$")
+
+unsupported_decorators = {
+    "snowpark": "Step *%s* is marked for execution on Snowpark with Argo Workflows which isn't currently supported.",
+    "slurm": "Step *%s* is marked for execution on Slurm with Argo Workflows which isn't currently supported.",
+    "nvidia": "Step *%s* is marked for execution on Nvidia with Argo Workflows which isn't currently supported.",
+    "nvct": "Step *%s* is marked for execution on Nvct with Argo Workflows which isn't currently supported.",
+}
 
 
 class IncorrectProductionToken(MetaflowException):
     headline = "Incorrect production token"
 
 
+class RunIdMismatch(MetaflowException):
+    headline = "Run ID mismatch"
+
+
 class IncorrectMetadataServiceVersion(MetaflowException):
     headline = "Incorrect version for metaflow service"
 
@@ -111,6 +132,7 @@ def argo_workflows(obj, name=None):
     is_flag=True,
     default=False,
     help="Only print out JSON sent to Argo Workflows. Do not deploy anything.",
+    hidden=True,
 )
 @click.option(
     "--max-workers",
@@ -126,14 +148,73 @@ def argo_workflows(obj, name=None):
     default=None,
     type=int,
     help="Workflow priority as an integer. Workflows with higher priority "
-    "are processed first if Argo Workflows controller is configured to process limited "
-    "number of workflows in parallel",
+    "are processed first if Argo Workflows controller is configured to process "
+    "limited number of workflows in parallel",
 )
 @click.option(
     "--auto-emit-argo-events/--no-auto-emit-argo-events",
-    default=False,  # TODO: Default to a value from config
+    default=True,  # TODO: Default to a value from config
+    show_default=True,
+    help="Auto emits Argo Events when the run completes successfully.",
+)
+@click.option(
+    "--notify-on-error/--no-notify-on-error",
+    default=False,
+    show_default=True,
+    help="Notify if the workflow fails.",
+)
+@click.option(
+    "--notify-on-success/--no-notify-on-success",
+    default=False,
+    show_default=True,
+    help="Notify if the workflow succeeds.",
+)
+@click.option(
+    "--notify-slack-webhook-url",
+    default=None,
+    help="Slack incoming webhook url for workflow success/failure notifications.",
+)
+@click.option(
+    "--notify-pager-duty-integration-key",
+    default=None,
+    help="PagerDuty Events API V2 Integration key for workflow success/failure notifications.",
+)
+@click.option(
+    "--notify-incident-io-api-key",
+    default=None,
+    help="Incident.io API V2 key for workflow success/failure notifications.",
+)
+@click.option(
+    "--incident-io-alert-source-config-id",
+    default=None,
+    help="Incident.io Alert source config ID. Example '01GW2G3V0S59R238FAHPDS1R66'",
+)
+@click.option(
+    "--incident-io-metadata",
+    default=None,
+    type=str,
+    multiple=True,
+    help="Incident.io Alert Custom Metadata field in the form of Key=Value",
+)
+@click.option(
+    "--enable-heartbeat-daemon/--no-enable-heartbeat-daemon",
+    default=False,
+    show_default=True,
+    help="Use a daemon container to broadcast heartbeats.",
+)
+@click.option(
+    "--deployer-attribute-file",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Write the workflow name to the file specified. Used internally for Metaflow's Deployer API.",
+    hidden=True,
+)
+@click.option(
+    "--enable-error-msg-capture/--no-enable-error-msg-capture",
+    default=True,
     show_default=True,
-    help="Auto emits Argo Events when the run completes successfully",
+    help="Capture stack trace of first failed task in exit hook.",
 )
 @click.pass_obj
 def create(
@@ -148,9 +229,35 @@ def create(
     workflow_timeout=None,
     workflow_priority=None,
     auto_emit_argo_events=False,
+    notify_on_error=False,
+    notify_on_success=False,
+    notify_slack_webhook_url=None,
+    notify_pager_duty_integration_key=None,
+    notify_incident_io_api_key=None,
+    incident_io_alert_source_config_id=None,
+    incident_io_metadata=None,
+    enable_heartbeat_daemon=True,
+    deployer_attribute_file=None,
+    enable_error_msg_capture=False,
 ):
+    for node in obj.graph:
+        for decorator, error_message in unsupported_decorators.items():
+            if any([d.name == decorator for d in node.decorators]):
+                raise MetaflowException(error_message % node.name)
+
     validate_tags(tags)
 
+    if deployer_attribute_file:
+        with open(deployer_attribute_file, "w", encoding="utf-8") as f:
+            json.dump(
+                {
+                    "name": obj.workflow_name,
+                    "flow_name": obj.flow.name,
+                    "metadata": obj.metadata.metadata_str(),
+                },
+                f,
+            )
+
     obj.echo("Deploying *%s* to Argo Workflows..." % obj.workflow_name, bold=True)
 
     if SERVICE_VERSION_CHECK:
@@ -180,6 +287,15 @@ def create(
         workflow_timeout,
         workflow_priority,
         auto_emit_argo_events,
+        notify_on_error,
+        notify_on_success,
+        notify_slack_webhook_url,
+        notify_pager_duty_integration_key,
+        notify_incident_io_api_key,
+        incident_io_alert_source_config_id,
+        incident_io_metadata,
+        enable_heartbeat_daemon,
+        enable_error_msg_capture,
     )
 
     if only_json:
@@ -201,6 +317,17 @@ def create(
                 "due to Kubernetes naming conventions\non Argo Workflows. The "
                 "original flow name is stored in the workflow annotation.\n"
             )
+
+        if ARGO_WORKFLOWS_UI_URL:
+            obj.echo("See the deployed workflow here:", bold=True)
+            argo_workflowtemplate_link = "%s/workflow-templates/%s" % (
+                ARGO_WORKFLOWS_UI_URL.rstrip("/"),
+                KUBERNETES_NAMESPACE,
+            )
+            obj.echo(
+                "%s/%s\n\n" % (argo_workflowtemplate_link, obj.workflow_name),
+                indent=True,
+            )
         flow.schedule()
         obj.echo("What will trigger execution of the workflow:", bold=True)
         obj.echo(flow.trigger_explanation(), indent=True)
@@ -218,20 +345,20 @@ def create(
 
 
 def check_python_version(obj):
-    # argo-workflows integration for Metaflow isn't supported for Py versions below 3.5.
+    # argo-workflows integration for Metaflow isn't supported for Py versions below 3.6.
     # This constraint can very well be lifted if desired.
-    if sys.version_info < (3, 5):
+    if sys.version_info < (3, 6):
         obj.echo("")
         obj.echo(
             "Metaflow doesn't support Argo Workflows for Python %s right now."
             % platform.python_version()
         )
         obj.echo(
-            "Please upgrade your Python interpreter to version 3.5 (or higher) or "
+            "Please upgrade your Python interpreter to version 3.6 (or higher) or "
             "reach out to us at slack.outerbounds.co for more help."
         )
         raise UnsupportedPythonVersion(
-            "Try again with a more recent version of Python (>=3.5)."
+            "Try again with a more recent version of Python (>=3.6)."
         )
 
 
@@ -240,7 +367,7 @@ def check_metadata_service_version(obj):
     version = metadata.version()
     if version == "local":
         return
-    elif version is not None and LooseVersion(version) >= LooseVersion("2.0.2"):
+    elif version is not None and version_parse(version) >= version_parse("2.0.2"):
         # Metaflow metadata service needs to be at least at version 2.0.2
         # since prior versions did not support strings as object ids.
         return
@@ -287,6 +414,8 @@ def resolve_workflow_name(obj, name):
         # by default. Also, while project and branch allow for underscores, Argo
         # Workflows doesn't (DNS Subdomain names as defined in RFC 1123) - so we will
         # remove any underscores as well as convert the name to lower case.
+        # Also remove + and @ as not allowed characters, which can be part of the
+        # project branch due to using email addresses as user names.
         if len(workflow_name) > 253:
             name_hash = to_unicode(
                 base64.b32encode(sha1(to_bytes(workflow_name)).digest())
@@ -294,12 +423,7 @@ def resolve_workflow_name(obj, name):
             workflow_name = "%s-%s" % (workflow_name[:242], name_hash)
             obj._is_workflow_name_modified = True
         if not VALID_NAME.search(workflow_name):
-            workflow_name = (
-                re.compile(r"^[^A-Za-z0-9]+")
-                .sub("", workflow_name)
-                .replace("_", "")
-                .lower()
-            )
+            workflow_name = sanitize_for_argo(workflow_name)
             obj._is_workflow_name_modified = True
     else:
         if name and not VALID_NAME.search(name):
@@ -324,12 +448,7 @@ def resolve_workflow_name(obj, name):
             raise ArgoWorkflowsNameTooLong(msg)
 
         if not VALID_NAME.search(workflow_name):
-            workflow_name = (
-                re.compile(r"^[^A-Za-z0-9]+")
-                .sub("", workflow_name)
-                .replace("_", "")
-                .lower()
-            )
+            workflow_name = sanitize_for_argo(workflow_name)
             obj._is_workflow_name_modified = True
 
     return workflow_name, token_prefix.lower(), is_project
@@ -345,6 +464,15 @@ def make_flow(
     workflow_timeout,
     workflow_priority,
     auto_emit_argo_events,
+    notify_on_error,
+    notify_on_success,
+    notify_slack_webhook_url,
+    notify_pager_duty_integration_key,
+    notify_incident_io_api_key,
+    incident_io_alert_source_config_id,
+    incident_io_metadata,
+    enable_heartbeat_daemon,
+    enable_error_msg_capture,
 ):
     # TODO: Make this check less specific to Amazon S3 as we introduce
     #       support for more cloud object stores.
@@ -353,29 +481,66 @@ def make_flow(
             "Argo Workflows requires --datastore=s3 or --datastore=azure or --datastore=gs"
         )
 
+    if (notify_on_error or notify_on_success) and not (
+        notify_slack_webhook_url
+        or notify_pager_duty_integration_key
+        or notify_incident_io_api_key
+    ):
+        raise MetaflowException(
+            "Notifications require specifying an incoming Slack webhook url via --notify-slack-webhook-url, PagerDuty events v2 integration key via --notify-pager-duty-integration-key or\n"
+            "Incident.io integration API key via --notify-incident-io-api-key.\n"
+            " If you would like to set up notifications for your Slack workspace, follow the instructions at "
+            "https://api.slack.com/messaging/webhooks to generate a webhook url.\n"
+            " For notifications through PagerDuty, generate an integration key by following the instructions at "
+            "https://support.pagerduty.com/docs/services-and-integrations#create-a-generic-events-api-integration\n"
+            " For notifications through Incident.io, generate an alert source config."
+        )
+
+    if (
+        (notify_on_error or notify_on_success)
+        and notify_incident_io_api_key
+        and incident_io_alert_source_config_id is None
+    ):
+        raise MetaflowException(
+            "Incident.io alerts require an alert source configuration ID. Please set one with --incident-io-alert-source-config-id"
+        )
+
     # Attach @kubernetes and @environment decorator to the flow to
     # ensure that the related decorator hooks are invoked.
     decorators._attach_decorators(
         obj.flow, [KubernetesDecorator.name, EnvironmentDecorator.name]
     )
+    decorators._init(obj.flow)
 
     decorators._init_step_decorators(
         obj.flow, obj.graph, obj.environment, obj.flow_datastore, obj.logger
     )
+    obj.graph = obj.flow._graph
 
     # Save the code package in the flow datastore so that both user code and
     # metaflow package can be retrieved during workflow execution.
     obj.package = MetaflowPackage(
-        obj.flow, obj.environment, obj.echo, obj.package_suffixes
+        obj.flow,
+        obj.environment,
+        obj.echo,
+        suffixes=obj.package_suffixes,
+        flow_datastore=obj.flow_datastore if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE else None,
     )
-    package_url, package_sha = obj.flow_datastore.save_data(
-        [obj.package.blob], len_hint=1
-    )[0]
+
+    # This blocks until the package is created
+    if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE:
+        package_url = obj.package.package_url()
+        package_sha = obj.package.package_sha()
+    else:
+        package_url, package_sha = obj.flow_datastore.save_data(
+            [obj.package.blob], len_hint=1
+        )[0]
 
     return ArgoWorkflows(
         name,
         obj.graph,
         obj.flow,
+        obj.package.package_metadata,
         package_sha,
         package_url,
         token,
@@ -391,6 +556,15 @@ def make_flow(
         workflow_timeout=workflow_timeout,
         workflow_priority=workflow_priority,
         auto_emit_argo_events=auto_emit_argo_events,
+        notify_on_error=notify_on_error,
+        notify_on_success=notify_on_success,
+        notify_slack_webhook_url=notify_slack_webhook_url,
+        notify_pager_duty_integration_key=notify_pager_duty_integration_key,
+        notify_incident_io_api_key=notify_incident_io_api_key,
+        incident_io_alert_source_config_id=incident_io_alert_source_config_id,
+        incident_io_metadata=incident_io_metadata,
+        enable_heartbeat_daemon=enable_heartbeat_daemon,
+        enable_error_msg_capture=enable_error_msg_capture,
     )
 
 
@@ -502,8 +676,16 @@ def resolve_token(
     type=str,
     help="Write the ID of this run to the file specified.",
 )
+@click.option(
+    "--deployer-attribute-file",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Write the metadata and pathspec of this run to the file specified.\nUsed internally for Metaflow's Deployer API.",
+    hidden=True,
+)
 @click.pass_obj
-def trigger(obj, run_id_file=None, **kwargs):
+def trigger(obj, run_id_file=None, deployer_attribute_file=None, **kwargs):
     def _convert_value(param):
         # Swap `-` with `_` in parameter name to match click's behavior
         val = kwargs.get(param.name.replace("-", "_").lower())
@@ -526,6 +708,17 @@ def _convert_value(param):
         with open(run_id_file, "w") as f:
             f.write(str(run_id))
 
+    if deployer_attribute_file:
+        with open(deployer_attribute_file, "w") as f:
+            json.dump(
+                {
+                    "name": obj.workflow_name,
+                    "metadata": obj.metadata.metadata_str(),
+                    "pathspec": "/".join((obj.flow.name, run_id)),
+                },
+                f,
+            )
+
     obj.echo(
         "Workflow *{name}* triggered on Argo Workflows "
         "(run-id *{run_id}*).".format(name=obj.workflow_name, run_id=run_id),
@@ -541,3 +734,391 @@ def _convert_value(param):
             "See the run in the UI at %s" % run_url,
             bold=True,
         )
+
+
+@argo_workflows.command(help="Delete the flow on Argo Workflows.")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the deletion with a production token",
+)
+@click.pass_obj
+def delete(obj, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on Argo Workflows which was "
+            "deployed by the user *%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To delete this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you have it, call "
+            "this command:"
+        )
+        obj.echo("    argo-workflows delete --authorize MY_TOKEN", fg="green")
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more information '
+            "about production tokens."
+        )
+
+    validate_token(obj.workflow_name, obj.token_prefix, authorize, _token_instructions)
+    obj.echo("Deleting workflow *{name}*...".format(name=obj.workflow_name), bold=True)
+
+    schedule_deleted, sensor_deleted, workflow_deleted = ArgoWorkflows.delete(
+        obj.workflow_name
+    )
+
+    if schedule_deleted:
+        obj.echo(
+            "Deleting cronworkflow *{name}*...".format(name=obj.workflow_name),
+            bold=True,
+        )
+
+    if sensor_deleted:
+        obj.echo(
+            "Deleting sensor *{name}*...".format(name=obj.workflow_name),
+            bold=True,
+        )
+
+    if workflow_deleted:
+        obj.echo(
+            "Deleting Kubernetes resources may take a while. "
+            "Deploying the flow again to Argo Workflows while the delete is in-flight will fail."
+        )
+        obj.echo(
+            "In-flight executions will not be affected. "
+            "If necessary, terminate them manually."
+        )
+
+
+@argo_workflows.command(help="Suspend flow execution on Argo Workflows.")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the suspension with a production token",
+)
+@click.argument("run-id", required=True, type=str)
+@click.pass_obj
+def suspend(obj, run_id, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on Argo Workflows which was "
+            "deployed by the user *%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To suspend this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you have it, call "
+            "this command:"
+        )
+        obj.echo("    argo-workflows suspend RUN_ID --authorize MY_TOKEN", fg="green")
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more information '
+            "about production tokens."
+        )
+
+    validate_run_id(
+        obj.workflow_name, obj.token_prefix, authorize, run_id, _token_instructions
+    )
+
+    # Trim prefix from run_id
+    name = run_id[5:]
+
+    workflow_suspended = ArgoWorkflows.suspend(name)
+
+    if workflow_suspended:
+        obj.echo("Suspended execution of *%s*" % run_id)
+
+
+@argo_workflows.command(help="Unsuspend flow execution on Argo Workflows.")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the unsuspend with a production token",
+)
+@click.argument("run-id", required=True, type=str)
+@click.pass_obj
+def unsuspend(obj, run_id, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on Argo Workflows which was "
+            "deployed by the user *%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To unsuspend this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you have it, call "
+            "this command:"
+        )
+        obj.echo(
+            "    argo-workflows unsuspend RUN_ID --authorize MY_TOKEN",
+            fg="green",
+        )
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more information '
+            "about production tokens."
+        )
+
+    validate_run_id(
+        obj.workflow_name, obj.token_prefix, authorize, run_id, _token_instructions
+    )
+
+    # Trim prefix from run_id
+    name = run_id[5:]
+
+    workflow_suspended = ArgoWorkflows.unsuspend(name)
+
+    if workflow_suspended:
+        obj.echo("Unsuspended execution of *%s*" % run_id)
+
+
+def validate_token(name, token_prefix, authorize, instructions_fn=None):
+    """
+    Validate that the production token matches that of the deployed flow.
+    In case both the user and token do not match, raises an error.
+    Optionally outputs instructions on token usage via the provided instruction_fn(flow_name, prev_user)
+    """
+    # TODO: Unify this with the existing resolve_token implementation.
+
+    # 1) retrieve the previous deployment, if one exists
+    workflow = ArgoWorkflows.get_existing_deployment(name)
+    if workflow is None:
+        prev_token = None
+    else:
+        prev_user, prev_token = workflow
+
+    # 2) authorize this deployment
+    if prev_token is not None:
+        if authorize is None:
+            authorize = load_token(token_prefix)
+        elif authorize.startswith("production:"):
+            authorize = authorize[11:]
+
+        # we allow the user who deployed the previous version to re-deploy,
+        # even if they don't have the token
+        # NOTE: The username is visible in multiple sources, and can be set by the user.
+        # Should we consider being stricter here?
+        if prev_user != get_username() and authorize != prev_token:
+            if instructions_fn:
+                instructions_fn(flow_name=name, prev_user=prev_user)
+            raise IncorrectProductionToken(
+                "Try again with the correct production token."
+            )
+
+    # 3) all validations passed, store the previous token for future use
+    token = prev_token
+
+    store_token(token_prefix, token)
+    return True
+
+
+def get_run_object(pathspec: str):
+    try:
+        return Run(pathspec, _namespace_check=False)
+    except MetaflowNotFound:
+        return None
+
+
+def get_status_considering_run_object(status, run_obj):
+    remapped_status = remap_status(status)
+    if remapped_status == "Running" and run_obj is None:
+        return "Pending"
+    return remapped_status
+
+
+@argo_workflows.command(help="Fetch flow execution status on Argo Workflows.")
+@click.argument("run-id", required=True, type=str)
+@click.pass_obj
+def status(obj, run_id):
+    if not run_id.startswith("argo-"):
+        raise RunIdMismatch(
+            "Run IDs for flows executed through Argo Workflows begin with 'argo-'"
+        )
+    obj.echo(
+        "Fetching status for run *{run_id}* for {flow_name} ...".format(
+            run_id=run_id, flow_name=obj.flow.name
+        ),
+        bold=True,
+    )
+    # Trim prefix from run_id
+    name = run_id[5:]
+    status = ArgoWorkflows.get_workflow_status(obj.flow.name, name)
+    run_obj = get_run_object("/".join((obj.flow.name, run_id)))
+    if status is not None:
+        status = get_status_considering_run_object(status, run_obj)
+        obj.echo_always(status)
+
+
+@argo_workflows.command(help="Terminate flow execution on Argo Workflows.")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the termination with a production token",
+)
+@click.argument("run-id", required=True, type=str)
+@click.pass_obj
+def terminate(obj, run_id, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on Argo Workflows which was "
+            "deployed by the user *%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To terminate this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you have it, call "
+            "this command:"
+        )
+        obj.echo("    argo-workflows terminate --authorize MY_TOKEN RUN_ID", fg="green")
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more information '
+            "about production tokens."
+        )
+
+    validate_run_id(
+        obj.workflow_name, obj.token_prefix, authorize, run_id, _token_instructions
+    )
+
+    # Trim prefix from run_id
+    name = run_id[5:]
+    obj.echo(
+        "Terminating run *{run_id}* for {flow_name} ...".format(
+            run_id=run_id, flow_name=obj.flow.name
+        ),
+        bold=True,
+    )
+
+    terminated = ArgoWorkflows.terminate(obj.flow.name, name)
+    if terminated:
+        obj.echo("\nRun terminated.")
+
+
+@argo_workflows.command(help="List Argo Workflow templates for the flow.")
+@click.option(
+    "--all",
+    default=False,
+    is_flag=True,
+    type=bool,
+    help="list all Argo Workflow Templates (not just limited to this flow)",
+)
+@click.pass_obj
+def list_workflow_templates(obj, all=None):
+    templates = ArgoWorkflows.list_templates(obj.flow.name, all)
+    for template_name in templates:
+        obj.echo_always(template_name)
+
+
+# Internal CLI command to run a heartbeat daemon in an Argo Workflows Daemon container.
+@argo_workflows.command(hidden=True, help="start heartbeat process for a run")
+@click.option("--run_id", required=True)
+@click.option(
+    "--tag",
+    "tags",
+    multiple=True,
+    default=None,
+    help="Annotate all objects produced by Argo Workflows runs "
+    "with the given tag. You can specify this option multiple "
+    "times to attach multiple tags.",
+)
+@click.pass_obj
+def heartbeat(obj, run_id, tags=None):
+    # Try to register a run in case the start task has not taken care of it yet.
+    obj.metadata.register_run_id(run_id, tags)
+    # Start run heartbeat
+    obj.metadata.start_run_heartbeat(obj.flow.name, run_id)
+    # Keepalive loop
+    while True:
+        # Do not pollute daemon logs with anything unnecessary,
+        # as they might be extremely long running.
+        sleep(10)
+
+
+def validate_run_id(
+    workflow_name, token_prefix, authorize, run_id, instructions_fn=None
+):
+    """
+    Validates that a run_id adheres to the Argo Workflows naming rules, and
+    that it belongs to the current flow (accounting for project branch as well).
+    """
+    # Verify that user is trying to change an Argo workflow
+    if not run_id.startswith("argo-"):
+        raise RunIdMismatch(
+            "Run IDs for flows executed through Argo Workflows begin with 'argo-'"
+        )
+
+    # Verify that run_id belongs to the Flow, and that branches match
+    name = run_id[5:]
+    workflow = ArgoWorkflows.get_execution(name)
+    if workflow is None:
+        raise MetaflowException("Could not find workflow *%s* on Argo Workflows" % name)
+
+    owner, token, flow_name, branch_name, project_name = workflow
+
+    # Verify we are operating on the correct Flow file compared to the running one.
+    # Without this check, using --name could be used to run commands for arbitrary run_id's, disregarding the Flow in the file.
+    if current.flow_name != flow_name:
+        raise RunIdMismatch(
+            "The workflow with the run_id *%s* belongs to the flow *%s*, not for the flow *%s*."
+            % (run_id, flow_name, current.flow_name)
+        )
+
+    if project_name is not None:
+        # Verify we are operating on the correct project.
+        if current.get("project_name") != project_name:
+            raise RunIdMismatch(
+                "The workflow belongs to the project *%s*. "
+                "Please use the project decorator or --name to target the correct project"
+                % project_name
+            )
+
+        # Verify we are operating on the correct branch.
+        if current.get("branch_name") != branch_name:
+            raise RunIdMismatch(
+                "The workflow belongs to the branch *%s*. "
+                "Please use --branch, --production or --name to target the correct branch"
+                % branch_name
+            )
+
+    # Verify that the production tokens match. We do not want to cache the token that was used though,
+    # as the operations that require run_id validation can target runs not authored from the local environment
+    if authorize is None:
+        authorize = load_token(token_prefix)
+    elif authorize.startswith("production:"):
+        authorize = authorize[11:]
+
+    if owner != get_username() and authorize != token:
+        if instructions_fn:
+            instructions_fn(flow_name=name, prev_user=owner)
+        raise IncorrectProductionToken("Try again with the correct production token.")
+
+    return True
+
+
+def sanitize_for_argo(text):
+    """
+    Sanitizes a string so it does not contain characters that are not permitted in Argo Workflow resource names.
+    """
+    return (
+        re.compile(r"^[^A-Za-z0-9]+")
+        .sub("", text)
+        .replace("_", "")
+        .replace("@", "")
+        .replace("+", "")
+        .lower()
+    )
+
+
+def remap_status(status):
+    """
+    Group similar Argo Workflow statuses together in order to have similar output to step functions statuses.
+    """
+    STATUS_MAP = {"Error": "Failed"}
+    return STATUS_MAP.get(status, status)
diff --git a/metaflow/plugins/argo/argo_workflows_decorator.py b/metaflow/plugins/argo/argo_workflows_decorator.py
index 8c0abede698..ce92d34b5b4 100644
--- a/metaflow/plugins/argo/argo_workflows_decorator.py
+++ b/metaflow/plugins/argo/argo_workflows_decorator.py
@@ -1,13 +1,13 @@
 import json
 import os
-import time
+
 
 from metaflow import current
 from metaflow.decorators import StepDecorator
 from metaflow.events import Trigger
-from metaflow.metadata import MetaDatum
-from metaflow.metaflow_config import ARGO_EVENTS_WEBHOOK_URL
-
+from metaflow.metadata_provider import MetaDatum
+from metaflow.graph import FlowGraph
+from metaflow.flowspec import FlowSpec
 from .argo_events import ArgoEvent
 
 
@@ -40,7 +40,7 @@ def task_pre_step(
                 if payload != "null":  # Argo-Workflow's None
                     try:
                         payload = json.loads(payload)
-                    except (TypeError, ValueError) as e:
+                    except (TypeError, ValueError):
                         # There could be arbitrary events that Metaflow doesn't know of
                         payload = {}
                     triggers.append(
@@ -52,7 +52,7 @@ def task_pre_step(
                                 "_", 1
                             )[
                                 0
-                            ]  # infer type from env var key
+                            ],  # infer type from env var key
                             # Add more event metadata here in the future
                         }
                     )
@@ -72,6 +72,7 @@ def task_pre_step(
         meta["argo-workflow-name"] = os.environ["ARGO_WORKFLOW_NAME"]
         meta["argo-workflow-namespace"] = os.environ["ARGO_WORKFLOW_NAMESPACE"]
         meta["auto-emit-argo-events"] = self.attributes["auto-emit-argo-events"]
+        meta["argo-workflow-template-owner"] = os.environ["METAFLOW_OWNER"]
         entries = [
             MetaDatum(
                 field=k, value=v, type=k, tags=["attempt_id:{0}".format(retry_count)]
@@ -82,7 +83,13 @@ def task_pre_step(
         metadata.register_metadata(run_id, step_name, task_id, entries)
 
     def task_finished(
-        self, step_name, flow, graph, is_task_ok, retry_count, max_user_code_retries
+        self,
+        step_name,
+        flow: FlowSpec,
+        graph: FlowGraph,
+        is_task_ok,
+        retry_count,
+        max_user_code_retries,
     ):
         if not is_task_ok:
             # The task finished with an exception - execution won't
@@ -99,13 +106,32 @@ def task_finished(
         # we run pods with a security context. We work around this constraint by
         # mounting an emptyDir volume.
         if graph[step_name].type == "foreach":
+            if graph[step_name].parallel_foreach:
+                # If a node is marked as a `parallel_foreach`, pass down the value of
+                # `num_parallel` to the subsequent steps.
+                with open("/mnt/out/num_parallel", "w") as f:
+                    json.dump(flow._parallel_ubf_iter.num_parallel, f)
+                # Set splits to 1 since parallelism is handled by JobSet.
+                flow._foreach_num_splits = 1
+                with open("/mnt/out/task_id_entropy", "w") as file:
+                    import uuid
+
+                    file.write(uuid.uuid4().hex[:6])
+
             with open("/mnt/out/splits", "w") as file:
                 json.dump(list(range(flow._foreach_num_splits)), file)
-        # Unfortunately, we can't always use pod names as task-ids since the pod names
-        # are not static across retries. We write the task-id to a file that is read
-        # by the next task here.
-        with open("/mnt/out/task_id", "w") as file:
-            file.write(self.task_id)
+            with open("/mnt/out/split_cardinality", "w") as file:
+                json.dump(flow._foreach_num_splits, file)
+
+        # For steps that have a `@parallel` decorator set to them, we will be relying on Jobsets
+        # to run the task. In this case, we cannot set anything in the
+        # `/mnt/out` directory, since such form of output mounts are not available to Jobset executions.
+        if not graph[step_name].parallel_step:
+            # Unfortunately, we can't always use pod names as task-ids since the pod names
+            # are not static across retries. We write the task-id to a file that is read
+            # by the next task here.
+            with open("/mnt/out/task_id", "w") as file:
+                file.write(self.task_id)
 
         # Emit Argo Events given that the flow has succeeded. Given that we only
         # emit events when the task succeeds, we can piggy back on this decorator
@@ -146,4 +172,4 @@ def task_finished(
             # Keep in mind that any errors raised here will fail the run but the task
             # will still be marked as success. That's why we explicitly swallow any
             # errors and instead print them to std.err.
-            event.publish(ignore_errors=True)
+            event.safe_publish(ignore_errors=True)
diff --git a/metaflow/plugins/argo/argo_workflows_deployer.py b/metaflow/plugins/argo/argo_workflows_deployer.py
new file mode 100644
index 00000000000..0c9da919633
--- /dev/null
+++ b/metaflow/plugins/argo/argo_workflows_deployer.py
@@ -0,0 +1,106 @@
+from typing import Any, ClassVar, Dict, Optional, TYPE_CHECKING, Type
+
+from metaflow.runner.deployer_impl import DeployerImpl
+
+if TYPE_CHECKING:
+    import metaflow.plugins.argo.argo_workflows_deployer_objects
+
+
+class ArgoWorkflowsDeployer(DeployerImpl):
+    """
+    Deployer implementation for Argo Workflows.
+
+    Parameters
+    ----------
+    name : str, optional, default None
+        Argo workflow name. The flow name is used instead if this option is not specified.
+    """
+
+    TYPE: ClassVar[Optional[str]] = "argo-workflows"
+
+    def __init__(self, deployer_kwargs: Dict[str, str], **kwargs):
+        """
+        Initialize the ArgoWorkflowsDeployer.
+
+        Parameters
+        ----------
+        deployer_kwargs : Dict[str, str]
+            The deployer-specific keyword arguments.
+        **kwargs : Any
+            Additional arguments to pass to the superclass constructor.
+        """
+        self._deployer_kwargs = deployer_kwargs
+        super().__init__(**kwargs)
+
+    @property
+    def deployer_kwargs(self) -> Dict[str, Any]:
+        return self._deployer_kwargs
+
+    @staticmethod
+    def deployed_flow_type() -> (
+        Type[
+            "metaflow.plugins.argo.argo_workflows_deployer_objects.ArgoWorkflowsDeployedFlow"
+        ]
+    ):
+        from .argo_workflows_deployer_objects import ArgoWorkflowsDeployedFlow
+
+        return ArgoWorkflowsDeployedFlow
+
+    def create(
+        self, **kwargs
+    ) -> "metaflow.plugins.argo.argo_workflows_deployer_objects.ArgoWorkflowsDeployedFlow":
+        """
+        Create a new ArgoWorkflow deployment.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize using this production token. Required when re-deploying an existing flow
+            for the first time. The token is cached in METAFLOW_HOME.
+        generate_new_token : bool, optional, default False
+            Generate a new production token for this flow. Moves the production flow to a new namespace.
+        given_token : str, optional, default None
+            Use the given production token for this flow. Moves the production flow to the given namespace.
+        tags : List[str], optional, default None
+            Annotate all objects produced by Argo Workflows runs with these tags.
+        user_namespace : str, optional, default None
+            Change the namespace from the default (production token) to the given tag.
+        only_json : bool, optional, default False
+            Only print out JSON sent to Argo Workflows without deploying anything.
+        max_workers : int, optional, default 100
+            Maximum number of parallel processes.
+        workflow_timeout : int, optional, default None
+            Workflow timeout in seconds.
+        workflow_priority : int, optional, default None
+            Workflow priority as an integer. Higher priority workflows are processed first
+            if Argo Workflows controller is configured to process limited parallel workflows.
+        auto_emit_argo_events : bool, optional, default True
+            Auto emits Argo Events when the run completes successfully.
+        notify_on_error : bool, optional, default False
+            Notify if the workflow fails.
+        notify_on_success : bool, optional, default False
+            Notify if the workflow succeeds.
+        notify_slack_webhook_url : str, optional, default ''
+            Slack incoming webhook url for workflow success/failure notifications.
+        notify_pager_duty_integration_key : str, optional, default ''
+            PagerDuty Events API V2 Integration key for workflow success/failure notifications.
+        enable_heartbeat_daemon : bool, optional, default False
+            Use a daemon container to broadcast heartbeats.
+        deployer_attribute_file : str, optional, default None
+            Write the workflow name to the specified file. Used internally for Metaflow's Deployer API.
+        enable_error_msg_capture : bool, optional, default True
+            Capture stack trace of first failed task in exit hook.
+
+        Returns
+        -------
+        ArgoWorkflowsDeployedFlow
+            The Flow deployed to Argo Workflows.
+        """
+
+        # Prevent circular import
+        from .argo_workflows_deployer_objects import ArgoWorkflowsDeployedFlow
+
+        return self._create(ArgoWorkflowsDeployedFlow, **kwargs)
+
+
+_addl_stubgen_modules = ["metaflow.plugins.argo.argo_workflows_deployer_objects"]
diff --git a/metaflow/plugins/argo/argo_workflows_deployer_objects.py b/metaflow/plugins/argo/argo_workflows_deployer_objects.py
new file mode 100644
index 00000000000..f5d119e4165
--- /dev/null
+++ b/metaflow/plugins/argo/argo_workflows_deployer_objects.py
@@ -0,0 +1,384 @@
+import sys
+import json
+import time
+import tempfile
+from typing import ClassVar, Optional
+
+from metaflow.client.core import get_metadata
+from metaflow.exception import MetaflowException
+from metaflow.plugins.argo.argo_client import ArgoClient
+from metaflow.metaflow_config import KUBERNETES_NAMESPACE
+from metaflow.plugins.argo.argo_workflows import ArgoWorkflows
+from metaflow.runner.deployer import (
+    Deployer,
+    DeployedFlow,
+    TriggeredRun,
+    generate_fake_flow_file_contents,
+)
+
+from metaflow.runner.utils import get_lower_level_group, handle_timeout, temporary_fifo
+
+
+class ArgoWorkflowsTriggeredRun(TriggeredRun):
+    """
+    A class representing a triggered Argo Workflow execution.
+    """
+
+    def suspend(self, **kwargs) -> bool:
+        """
+        Suspend the running workflow.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the suspension with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        _, run_id = self.pathspec.split("/")
+
+        # every subclass needs to have `self.deployer_kwargs`
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).suspend(run_id=run_id, **kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+    def unsuspend(self, **kwargs) -> bool:
+        """
+        Unsuspend the suspended workflow.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the unsuspend with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        _, run_id = self.pathspec.split("/")
+
+        # every subclass needs to have `self.deployer_kwargs`
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).unsuspend(run_id=run_id, **kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+    def terminate(self, **kwargs) -> bool:
+        """
+        Terminate the running workflow.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the termination with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        _, run_id = self.pathspec.split("/")
+
+        # every subclass needs to have `self.deployer_kwargs`
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).terminate(run_id=run_id, **kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+    def wait_for_completion(
+        self, check_interval: int = 5, timeout: Optional[int] = None
+    ):
+        """
+        Wait for the workflow to complete or timeout.
+
+        Parameters
+        ----------
+        check_interval: int, default: 5
+            Frequency of checking for workflow completion, in seconds.
+        timeout : int, optional, default None
+            Maximum time in seconds to wait for workflow completion.
+            If None, waits indefinitely.
+
+        Raises
+        ------
+        TimeoutError
+            If the workflow does not complete within the specified timeout period.
+        """
+        start_time = time.time()
+        while self.is_running:
+            if timeout is not None and (time.time() - start_time) > timeout:
+                raise TimeoutError(
+                    "Workflow did not complete within specified timeout."
+                )
+            time.sleep(check_interval)
+
+    @property
+    def is_running(self):
+        """
+        Check if the workflow is currently running.
+
+        Returns
+        -------
+        bool
+            True if the workflow status is either 'Pending' or 'Running',
+            False otherwise.
+        """
+        workflow_status = self.status
+        # full list of all states present here:
+        # https://github.com/argoproj/argo-workflows/blob/main/pkg/apis/workflow/v1alpha1/workflow_types.go#L54
+        # we only consider non-terminal states to determine if the workflow has not finished
+        return workflow_status is not None and workflow_status in ["Pending", "Running"]
+
+    @property
+    def status(self) -> Optional[str]:
+        """
+        Get the status of the triggered run.
+
+        Returns
+        -------
+        str, optional
+            The status of the workflow considering the run object, or None if
+            the status could not be retrieved.
+        """
+        from metaflow.plugins.argo.argo_workflows_cli import (
+            get_status_considering_run_object,
+        )
+
+        flow_name, run_id = self.pathspec.split("/")
+        name = run_id[5:]
+        status = ArgoWorkflows.get_workflow_status(flow_name, name)
+        if status is not None:
+            return get_status_considering_run_object(status, self.run)
+        return None
+
+
+class ArgoWorkflowsDeployedFlow(DeployedFlow):
+    """
+    A class representing a deployed Argo Workflow template.
+    """
+
+    TYPE: ClassVar[Optional[str]] = "argo-workflows"
+
+    @classmethod
+    def from_deployment(cls, identifier: str, metadata: Optional[str] = None):
+        """
+        Retrieves a `ArgoWorkflowsDeployedFlow` object from an identifier and optional
+        metadata.
+
+        Parameters
+        ----------
+        identifier : str
+            Deployer specific identifier for the workflow to retrieve
+        metadata : str, optional, default None
+            Optional deployer specific metadata.
+
+        Returns
+        -------
+        ArgoWorkflowsDeployedFlow
+            A `ArgoWorkflowsDeployedFlow` object representing the
+            deployed flow on argo workflows.
+        """
+        client = ArgoClient(namespace=KUBERNETES_NAMESPACE)
+        workflow_template = client.get_workflow_template(identifier)
+
+        if workflow_template is None:
+            raise MetaflowException("No deployed flow found for: %s" % identifier)
+
+        metadata_annotations = workflow_template.get("metadata", {}).get(
+            "annotations", {}
+        )
+
+        flow_name = metadata_annotations.get("metaflow/flow_name", "")
+        username = metadata_annotations.get("metaflow/owner", "")
+        parameters = json.loads(metadata_annotations.get("metaflow/parameters", "{}"))
+
+        # these two only exist if @project decorator is used..
+        branch_name = metadata_annotations.get("metaflow/branch_name", None)
+        project_name = metadata_annotations.get("metaflow/project_name", None)
+
+        project_kwargs = {}
+        if branch_name is not None:
+            if branch_name.startswith("prod."):
+                project_kwargs["production"] = True
+                project_kwargs["branch"] = branch_name[len("prod.") :]
+            elif branch_name.startswith("test."):
+                project_kwargs["branch"] = branch_name[len("test.") :]
+            elif branch_name == "prod":
+                project_kwargs["production"] = True
+
+        fake_flow_file_contents = generate_fake_flow_file_contents(
+            flow_name=flow_name, param_info=parameters, project_name=project_name
+        )
+
+        with tempfile.NamedTemporaryFile(suffix=".py", delete=False) as fake_flow_file:
+            with open(fake_flow_file.name, "w") as fp:
+                fp.write(fake_flow_file_contents)
+
+            if branch_name is not None:
+                d = Deployer(
+                    fake_flow_file.name,
+                    env={"METAFLOW_USER": username},
+                    **project_kwargs,
+                ).argo_workflows()
+            else:
+                d = Deployer(
+                    fake_flow_file.name, env={"METAFLOW_USER": username}
+                ).argo_workflows(name=identifier)
+
+            d.name = identifier
+            d.flow_name = flow_name
+            if metadata is None:
+                d.metadata = get_metadata()
+            else:
+                d.metadata = metadata
+
+        return cls(deployer=d)
+
+    @property
+    def production_token(self) -> Optional[str]:
+        """
+        Get the production token for the deployed flow.
+
+        Returns
+        -------
+        str, optional
+            The production token, None if it cannot be retrieved.
+        """
+        try:
+            _, production_token = ArgoWorkflows.get_existing_deployment(
+                self.deployer.name
+            )
+            return production_token
+        except TypeError:
+            return None
+
+    def delete(self, **kwargs) -> bool:
+        """
+        Delete the deployed workflow template.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the deletion with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).delete(**kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+    def trigger(self, **kwargs) -> ArgoWorkflowsTriggeredRun:
+        """
+        Trigger a new run for the deployed flow.
+
+        Parameters
+        ----------
+        **kwargs : Any
+            Additional arguments to pass to the trigger command,
+            `Parameters` in particular.
+
+        Returns
+        -------
+        ArgoWorkflowsTriggeredRun
+            The triggered run instance.
+
+        Raises
+        ------
+        Exception
+            If there is an error during the trigger process.
+        """
+        with temporary_fifo() as (attribute_file_path, attribute_file_fd):
+            # every subclass needs to have `self.deployer_kwargs`
+            command = get_lower_level_group(
+                self.deployer.api,
+                self.deployer.top_level_kwargs,
+                self.deployer.TYPE,
+                self.deployer.deployer_kwargs,
+            ).trigger(deployer_attribute_file=attribute_file_path, **kwargs)
+
+            pid = self.deployer.spm.run_command(
+                [sys.executable, *command],
+                env=self.deployer.env_vars,
+                cwd=self.deployer.cwd,
+                show_output=self.deployer.show_output,
+            )
+
+            command_obj = self.deployer.spm.get(pid)
+            content = handle_timeout(
+                attribute_file_fd, command_obj, self.deployer.file_read_timeout
+            )
+            command_obj.sync_wait()
+            if command_obj.process.returncode == 0:
+                return ArgoWorkflowsTriggeredRun(
+                    deployer=self.deployer, content=content
+                )
+
+        raise Exception(
+            "Error triggering %s on %s for %s"
+            % (
+                self.deployer.name,
+                self.deployer.TYPE,
+                self.deployer.flow_file,
+            )
+        )
diff --git a/metaflow/plugins/argo/capture_error.py b/metaflow/plugins/argo/capture_error.py
new file mode 100644
index 00000000000..8d93d5509b7
--- /dev/null
+++ b/metaflow/plugins/argo/capture_error.py
@@ -0,0 +1,70 @@
+import json
+import os
+from datetime import datetime
+
+###
+# Algorithm to determine 1st error:
+#   ignore the failures where message = ""
+#   group the failures via templateName
+#     sort each group by finishedAt
+#   find the group for which the last finishedAt is earliest
+#   if the earliest message is "No more retries left" then
+#     get the n-1th message from that group
+#   else
+#     return the last message.
+###
+
+
+def parse_workflow_failures():
+    failures = json.loads(
+        json.loads(os.getenv("METAFLOW_ARGO_WORKFLOW_FAILURES", "[]"), strict=False),
+        strict=False,
+    )
+    return [wf for wf in failures if wf.get("message")]
+
+
+def group_failures_by_template(failures):
+    groups = {}
+    for failure in failures:
+        groups.setdefault(failure["templateName"], []).append(failure)
+    return groups
+
+
+def sort_by_finished_at(items):
+    return sorted(
+        items, key=lambda x: datetime.strptime(x["finishedAt"], "%Y-%m-%dT%H:%M:%SZ")
+    )
+
+
+def find_earliest_last_finished_group(groups):
+    return min(
+        groups,
+        key=lambda k: datetime.strptime(
+            groups[k][-1]["finishedAt"], "%Y-%m-%dT%H:%M:%SZ"
+        ),
+    )
+
+
+def determine_first_error():
+    failures = parse_workflow_failures()
+    if not failures:
+        return None
+
+    grouped_failures = group_failures_by_template(failures)
+    for group in grouped_failures.values():
+        group.sort(
+            key=lambda x: datetime.strptime(x["finishedAt"], "%Y-%m-%dT%H:%M:%SZ")
+        )
+
+    earliest_group = grouped_failures[
+        find_earliest_last_finished_group(grouped_failures)
+    ]
+
+    if earliest_group[-1]["message"] == "No more retries left":
+        return earliest_group[-2]
+    return earliest_group[-1]
+
+
+if __name__ == "__main__":
+    first_err = determine_first_error()
+    print(json.dumps(first_err, indent=2))
diff --git a/metaflow/plugins/argo/exit_hooks.py b/metaflow/plugins/argo/exit_hooks.py
new file mode 100644
index 00000000000..59d17664a91
--- /dev/null
+++ b/metaflow/plugins/argo/exit_hooks.py
@@ -0,0 +1,209 @@
+from collections import defaultdict
+import json
+from typing import Dict, List, Optional
+
+
+class JsonSerializable(object):
+    def to_json(self):
+        return self.payload
+
+    def __str__(self):
+        return json.dumps(self.payload, indent=4)
+
+
+class _LifecycleHook(JsonSerializable):
+    # https://argoproj.github.io/argo-workflows/fields/#lifecyclehook
+
+    def __init__(self, name):
+        tree = lambda: defaultdict(tree)
+        self.name = name
+        self.payload = tree()
+
+    def expression(self, expression):
+        self.payload["expression"] = str(expression)
+        return self
+
+    def template(self, template):
+        self.payload["template"] = template
+        return self
+
+
+class _Template(JsonSerializable):
+    # https://argoproj.github.io/argo-workflows/fields/#template
+
+    def __init__(self, name):
+        tree = lambda: defaultdict(tree)
+        self.name = name
+        self.payload = tree()
+        self.payload["name"] = name
+
+    def http(self, http):
+        self.payload["http"] = http.to_json()
+        return self
+
+    def script(self, script):
+        self.payload["script"] = script.to_json()
+        return self
+
+    def container(self, container):
+        self.payload["container"] = container
+        return self
+
+    def service_account_name(self, service_account_name):
+        self.payload["serviceAccountName"] = service_account_name
+        return self
+
+
+class Hook(object):
+    """
+    Abstraction for Argo Workflows exit hooks.
+    A hook consists of a Template, and one or more LifecycleHooks that trigger the template
+    """
+
+    template: "_Template"
+    lifecycle_hooks: List["_LifecycleHook"]
+
+
+class _HttpSpec(JsonSerializable):
+    # https://argoproj.github.io/argo-workflows/fields/#http
+
+    def __init__(self, method):
+        tree = lambda: defaultdict(tree)
+        self.payload = tree()
+        self.payload["method"] = method
+        self.payload["headers"] = []
+
+    def header(self, header, value):
+        self.payload["headers"].append({"name": header, "value": value})
+        return self
+
+    def body(self, body):
+        self.payload["body"] = str(body)
+        return self
+
+    def url(self, url):
+        self.payload["url"] = url
+        return self
+
+    def success_condition(self, success_condition):
+        self.payload["successCondition"] = success_condition
+        return self
+
+
+# HTTP hook
+class HttpExitHook(Hook):
+    def __init__(
+        self,
+        name: str,
+        url: str,
+        method: str = "GET",
+        headers: Optional[Dict] = None,
+        body: Optional[str] = None,
+        on_success: bool = False,
+        on_error: bool = False,
+    ):
+        self.template = _Template(name)
+        http = _HttpSpec(method).url(url)
+        if headers is not None:
+            for header, value in headers.items():
+                http.header(header, value)
+
+        if body is not None:
+            http.body(body)
+
+        self.template.http(http)
+
+        self.lifecycle_hooks = []
+
+        if on_success and on_error:
+            raise Exception("Set only one of the on_success/on_error at a time.")
+
+        if on_success:
+            self.lifecycle_hooks.append(
+                _LifecycleHook(name)
+                .expression("workflow.status == 'Succeeded'")
+                .template(self.template.name)
+            )
+
+        if on_error:
+            self.lifecycle_hooks.append(
+                _LifecycleHook(name)
+                .expression("workflow.status == 'Error' || workflow.status == 'Failed'")
+                .template(self.template.name)
+            )
+
+        if not on_success and not on_error:
+            # add an expressionless lifecycle hook
+            self.lifecycle_hooks.append(_LifecycleHook(name).template(name))
+
+
+class ExitHookHack(Hook):
+    # Warning: terrible hack to workaround a bug in Argo Workflow where the
+    #          templates listed above do not execute unless there is an
+    #          explicit exit hook. as and when this bug is patched, we should
+    #          remove this effectively no-op template.
+    # Note: We use the Http template because changing this to an actual no-op container had the side-effect of
+    # leaving LifecycleHooks in a pending state even when they have finished execution.
+    def __init__(
+        self,
+        url,
+        headers=None,
+        body=None,
+    ):
+        self.template = _Template("exit-hook-hack")
+        http = _HttpSpec("GET").url(url)
+        if headers is not None:
+            for header, value in headers.items():
+                http.header(header, value)
+
+        if body is not None:
+            http.body(json.dumps(body))
+
+        http.success_condition("true == true")
+
+        self.template.http(http)
+
+        self.lifecycle_hooks = []
+
+        # add an expressionless lifecycle hook
+        self.lifecycle_hooks.append(_LifecycleHook("exit").template("exit-hook-hack"))
+
+
+class ContainerHook(Hook):
+    def __init__(
+        self,
+        name: str,
+        container: Dict,
+        service_account_name: str = None,
+        on_success: bool = False,
+        on_error: bool = False,
+    ):
+        self.template = _Template(name)
+
+        if service_account_name is not None:
+            self.template.service_account_name(service_account_name)
+
+        self.template.container(container)
+
+        self.lifecycle_hooks = []
+
+        if on_success and on_error:
+            raise Exception("Set only one of the on_success/on_error at a time.")
+
+        if on_success:
+            self.lifecycle_hooks.append(
+                _LifecycleHook(name)
+                .expression("workflow.status == 'Succeeded'")
+                .template(self.template.name)
+            )
+
+        if on_error:
+            self.lifecycle_hooks.append(
+                _LifecycleHook(name)
+                .expression("workflow.status == 'Error' || workflow.status == 'Failed'")
+                .template(self.template.name)
+            )
+
+        if not on_success and not on_error:
+            # add an expressionless lifecycle hook
+            self.lifecycle_hooks.append(_LifecycleHook(name).template(name))
diff --git a/metaflow/plugins/argo/generate_input_paths.py b/metaflow/plugins/argo/generate_input_paths.py
new file mode 100644
index 00000000000..447a54874d9
--- /dev/null
+++ b/metaflow/plugins/argo/generate_input_paths.py
@@ -0,0 +1,23 @@
+import sys
+from hashlib import md5
+
+
+def generate_input_paths(step_name, timestamp, input_paths, split_cardinality):
+    # => run_id/step/:foo,bar
+    run_id = input_paths.split("/")[0]
+    foreach_base_id = "{}-{}-{}".format(step_name, timestamp, input_paths)
+
+    ids = [_generate_task_id(foreach_base_id, i) for i in range(int(split_cardinality))]
+    return "{}/{}/:{}".format(run_id, step_name, ",".join(ids))
+
+
+def _generate_task_id(base, idx):
+    # For foreach splits generate the expected input-paths based on split_cardinality and base_id.
+    # newline required at the end due to 'echo' appending one in the shell side task_id creation.
+    task_str = "%s-%s\n" % (base, idx)
+    hash = md5(task_str.encode("utf-8")).hexdigest()[-8:]
+    return "t-" + hash
+
+
+if __name__ == "__main__":
+    print(generate_input_paths(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]))
diff --git a/metaflow/plugins/argo/jobset_input_paths.py b/metaflow/plugins/argo/jobset_input_paths.py
new file mode 100644
index 00000000000..da28fc6dedc
--- /dev/null
+++ b/metaflow/plugins/argo/jobset_input_paths.py
@@ -0,0 +1,15 @@
+import sys
+
+
+def generate_input_paths(run_id, step_name, task_id_entropy, num_parallel):
+    # => run_id/step/:foo,bar
+    control_id = "control-{}-0".format(task_id_entropy)
+    worker_ids = [
+        "worker-{}-{}".format(task_id_entropy, i) for i in range(int(num_parallel) - 1)
+    ]
+    ids = [control_id] + worker_ids
+    return "{}/{}/:{}".format(run_id, step_name, ",".join(ids))
+
+
+if __name__ == "__main__":
+    print(generate_input_paths(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]))
diff --git a/metaflow/plugins/argo/process_input_paths.py b/metaflow/plugins/argo/process_input_paths.py
deleted file mode 100644
index c74b8e73e6d..00000000000
--- a/metaflow/plugins/argo/process_input_paths.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import re
-import sys
-
-
-def process_input_paths(input_paths):
-    # Convert Argo Workflows provided input-paths string to something that Metaflow
-    # understands
-    #
-    # flow/step/[{task-id:foo},{task-id:bar}] => flow/step/:foo,bar
-
-    flow, run_id, task_ids = input_paths.split("/")
-    task_ids = re.sub("[\[\]{}]", "", task_ids)
-    task_ids = task_ids.split(",")
-    tasks = [t.split(":")[1] for t in task_ids]
-    return "{}/{}/:{}".format(flow, run_id, ",".join(tasks))
-
-
-if __name__ == "__main__":
-    print(process_input_paths(sys.argv[1]))
diff --git a/metaflow/plugins/aws/aws_client.py b/metaflow/plugins/aws/aws_client.py
index eeee7c33698..71479b52ce1 100644
--- a/metaflow/plugins/aws/aws_client.py
+++ b/metaflow/plugins/aws/aws_client.py
@@ -14,6 +14,7 @@ def get_client(
             AWS_SANDBOX_ENABLED,
             AWS_SANDBOX_STS_ENDPOINT_URL,
             AWS_SANDBOX_API_KEY,
+            S3_CLIENT_RETRY_CONFIG,
         )
 
         if session_vars is None:
@@ -34,13 +35,19 @@ def get_client(
                 "Could not import module 'boto3'. Install boto3 first."
             )
 
+        # Convert dictionary config to Config object if needed
+        if "config" in client_params and not isinstance(
+            client_params["config"], Config
+        ):
+            client_params["config"] = Config(**client_params["config"])
+
         if module == "s3" and (
             "config" not in client_params or client_params["config"].retries is None
         ):
-            # Use the adaptive retry strategy by default -- do not set anything if
-            # the user has already set something
+            # do not set anything if the user has already set something
             config = client_params.get("config", Config())
-            config.retries = {"max_attempts": 10, "mode": "adaptive"}
+            config.retries = S3_CLIENT_RETRY_CONFIG
+            client_params["config"] = config
 
         if AWS_SANDBOX_ENABLED:
             # role is ignored in the sandbox
diff --git a/metaflow/plugins/aws/aws_utils.py b/metaflow/plugins/aws/aws_utils.py
index fd35d776714..c60cc2a6d45 100644
--- a/metaflow/plugins/aws/aws_utils.py
+++ b/metaflow/plugins/aws/aws_utils.py
@@ -1,9 +1,24 @@
 import re
-import requests
 
 from metaflow.exception import MetaflowException
 
 
+def parse_s3_full_path(s3_uri):
+    from urllib.parse import urlparse
+
+    #  :///;?#
+    scheme, netloc, path, _, _, _ = urlparse(s3_uri)
+    assert scheme == "s3"
+    assert netloc is not None
+
+    bucket = netloc
+    path = path.lstrip("/").rstrip("/")
+    if path == "":
+        path = None
+
+    return bucket, path
+
+
 def get_ec2_instance_metadata():
     """
     Fetches the EC2 instance metadata through AWS instance metadata service
@@ -14,19 +29,39 @@ def get_ec2_instance_metadata():
         - ec2-region
         - ec2-availability-zone
     """
+
+    # TODO: Remove dependency on requests
+    import requests
+
     meta = {}
     # Capture AWS instance identity metadata. This is best-effort only since
     # access to this end-point might be blocked on AWS and not available
     # for non-AWS deployments.
     # https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-identity-documents.html
+    # Set a very aggressive timeout, as the communication is happening in the same subnet,
+    # there should not be any significant delay in the response.
+    # Having a long default timeout here introduces unnecessary delay in launching tasks when the
+    # instance is unreachable.
+    timeout = (1, 10)
+    token = None
+    try:
+        # Try to get an IMDSv2 token.
+        token = requests.put(
+            url="http://169.254.169.254/latest/api/token",
+            headers={"X-aws-ec2-metadata-token-ttl-seconds": "100"},
+            timeout=timeout,
+        ).text
+    except:
+        pass
     try:
-        # Set a very aggressive timeout, as the communication is happening in the same subnet,
-        # there should not be any significant delay in the response.
-        # Having a long default timeout here introduces unnecessary delay in launching tasks when the
-        # instance is unreachable.
+        headers = {}
+        # Add IMDSv2 token if available, else fall back to IMDSv1.
+        if token:
+            headers["X-aws-ec2-metadata-token"] = token
         instance_meta = requests.get(
             url="http://169.254.169.254/latest/dynamic/instance-identity/document",
-            timeout=(1, 10),
+            headers=headers,
+            timeout=timeout,
         ).json()
         meta["ec2-instance-id"] = instance_meta.get("instanceId")
         meta["ec2-instance-type"] = instance_meta.get("instanceType")
@@ -40,20 +75,20 @@ def get_ec2_instance_metadata():
 def get_docker_registry(image_uri):
     """
     Explanation:
-        (.+?(?:[:.].+?)\/)? - [GROUP 0] REGISTRY
-            .+?                 - A registry must start with at least one character
-            (?:[:.].+?)\/       - A registry must have ":" or "." and end with "/"
-            ?                   - Make a registry optional
-        (.*?)               - [GROUP 1] REPOSITORY
-            .*?                 - Get repository name until separator
-        (?:[@:])?           - SEPARATOR
-            ?:                  - Don't capture separator
-            [@:]                - The separator must be either "@" or ":"
-            ?                   - The separator is optional
-        ((?<=[@:]).*)?      - [GROUP 2] TAG / DIGEST
-            (?<=[@:])           - A tag / digest must be preceded by "@" or ":"
-            .*                  - Capture rest of tag / digest
-            ?                   - A tag / digest is optional
+        (.+?(?:[:.].+?)\\/)? - [GROUP 0] REGISTRY
+            .+?                  - A registry must start with at least one character
+            (?:[:.].+?)\\/       - A registry must have ":" or "." and end with "/"
+            ?                    - Make a registry optional
+        (.*?)                - [GROUP 1] REPOSITORY
+            .*?                  - Get repository name until separator
+        (?:[@:])?            - SEPARATOR
+            ?:                   - Don't capture separator
+            [@:]                 - The separator must be either "@" or ":"
+            ?                    - The separator is optional
+        ((?<=[@:]).*)?       - [GROUP 2] TAG / DIGEST
+            (?<=[@:])            - A tag / digest must be preceded by "@" or ":"
+            .*                   - Capture rest of tag / digest
+            ?                    - A tag / digest is optional
     Examples:
         image
             - None
@@ -97,7 +132,7 @@ def compute_resource_attributes(decos, compute_deco, resource_defaults):
     Returns a dictionary of resource attr -> value (str).
     """
     assert compute_deco is not None
-
+    supported_keys = set([*resource_defaults.keys(), *compute_deco.attributes.keys()])
     # Use the value from resource_defaults by default (don't use None)
     result = {k: v for k, v in resource_defaults.items() if v is not None}
 
@@ -109,6 +144,11 @@ def compute_resource_attributes(decos, compute_deco, resource_defaults):
                 # We use the non None value if there is only one or the larger value
                 # if they are both non None. Note this considers "" to be equivalent to
                 # the value zero.
+                #
+                # Skip attributes that are not supported by the decorator.
+                if k not in supported_keys:
+                    continue
+
                 if my_val is None and v is None:
                     continue
                 if my_val is not None and v is not None:
@@ -122,6 +162,8 @@ def compute_resource_attributes(decos, compute_deco, resource_defaults):
                         # Here we don't have ints, so we compare the value and raise
                         # an exception if not equal
                         if my_val != v:
+                            # TODO: Throw a better exception since the user has no
+                            #       knowledge of 'compute' decorator
                             raise MetaflowException(
                                 "'resources' and compute decorator have conflicting "
                                 "values for '%s'. Please use consistent values or "
@@ -140,3 +182,15 @@ def compute_resource_attributes(decos, compute_deco, resource_defaults):
             result[k] = str(compute_deco.attributes[k] or "0")
 
     return result
+
+
+def sanitize_batch_tag(key, value):
+    """
+    Sanitize a key and value for use as a Batch tag.
+    """
+    # https://docs.aws.amazon.com/batch/latest/userguide/using-tags.html#tag-restrictions
+    RE_NOT_PERMITTED = r"[^A-Za-z0-9\s\+\-\=\.\_\:\/\@]"
+    _key = re.sub(RE_NOT_PERMITTED, "", key)[:128]
+    _value = re.sub(RE_NOT_PERMITTED, "", value)[:256]
+
+    return _key, _value
diff --git a/metaflow/plugins/aws/batch/batch.py b/metaflow/plugins/aws/batch/batch.py
index 03719c5575e..8064618e3e1 100644
--- a/metaflow/plugins/aws/batch/batch.py
+++ b/metaflow/plugins/aws/batch/batch.py
@@ -8,8 +8,10 @@
 
 from metaflow import util
 from metaflow.plugins.datatools.s3.s3tail import S3Tail
+from metaflow.plugins.aws.aws_utils import sanitize_batch_tag
 from metaflow.exception import MetaflowException
 from metaflow.metaflow_config import (
+    OTEL_ENDPOINT,
     SERVICE_INTERNAL_URL,
     DATATOOLS_S3ROOT,
     DATASTORE_SYSROOT_S3,
@@ -20,7 +22,11 @@
     S3_ENDPOINT_URL,
     DEFAULT_SECRETS_BACKEND_TYPE,
     AWS_SECRETS_MANAGER_DEFAULT_REGION,
+    S3_SERVER_SIDE_ENCRYPTION,
 )
+
+from metaflow.metaflow_config_funcs import config_values
+
 from metaflow.mflog import (
     export_mflog_env_vars,
     bash_capture_logs,
@@ -53,14 +59,24 @@ def __init__(self, metadata, environment):
         self._client = BatchClient()
         atexit.register(lambda: self.job.kill() if hasattr(self, "job") else None)
 
-    def _command(self, environment, code_package_url, step_name, step_cmds, task_spec):
+    def _command(
+        self,
+        environment,
+        code_package_metadata,
+        code_package_url,
+        step_name,
+        step_cmds,
+        task_spec,
+    ):
         mflog_expr = export_mflog_env_vars(
             datastore_type="s3",
             stdout_path=STDOUT_PATH,
             stderr_path=STDERR_PATH,
             **task_spec
         )
-        init_cmds = environment.get_package_commands(code_package_url, "s3")
+        init_cmds = environment.get_package_commands(
+            code_package_url, "s3", code_package_metadata
+        )
         init_expr = " && ".join(init_cmds)
         step_expr = bash_capture_logs(
             " && ".join(environment.bootstrap_commands(step_name, "s3") + step_cmds)
@@ -161,6 +177,7 @@ def create_job(
         step_name,
         step_cli,
         task_spec,
+        code_package_metadata,
         code_package_sha,
         code_package_url,
         code_package_ds,
@@ -176,14 +193,19 @@ def create_job(
         max_swap=None,
         swappiness=None,
         inferentia=None,
+        efa=None,
         env={},
         attrs={},
         host_volumes=None,
+        efs_volumes=None,
         use_tmpfs=None,
         tmpfs_tempdir=None,
         tmpfs_size=None,
         tmpfs_path=None,
         num_parallel=0,
+        ephemeral_storage=None,
+        log_driver=None,
+        log_options=None,
     ):
         job_name = self._job_name(
             attrs.get("metaflow.user"),
@@ -199,7 +221,12 @@ def create_job(
             .job_queue(queue)
             .command(
                 self._command(
-                    self.environment, code_package_url, step_name, [step_cli], task_spec
+                    self.environment,
+                    code_package_metadata,
+                    code_package_url,
+                    step_name,
+                    [step_cli],
+                    task_spec,
                 )
             )
             .image(image)
@@ -212,6 +239,7 @@ def create_job(
             .max_swap(max_swap)
             .swappiness(swappiness)
             .inferentia(inferentia)
+            .efa(efa)
             .timeout_in_secs(run_time_limit)
             .job_def(
                 image,
@@ -222,16 +250,22 @@ def create_job(
                 max_swap,
                 swappiness,
                 inferentia,
+                efa,
                 memory=memory,
                 host_volumes=host_volumes,
+                efs_volumes=efs_volumes,
                 use_tmpfs=use_tmpfs,
                 tmpfs_tempdir=tmpfs_tempdir,
                 tmpfs_size=tmpfs_size,
                 tmpfs_path=tmpfs_path,
                 num_parallel=num_parallel,
+                ephemeral_storage=ephemeral_storage,
+                log_driver=log_driver,
+                log_options=log_options,
             )
             .task_id(attrs.get("metaflow.task_id"))
             .environment_variable("AWS_DEFAULT_REGION", self._client.region())
+            .environment_variable("METAFLOW_CODE_METADATA", code_package_metadata)
             .environment_variable("METAFLOW_CODE_SHA", code_package_sha)
             .environment_variable("METAFLOW_CODE_URL", code_package_url)
             .environment_variable("METAFLOW_CODE_DS", code_package_ds)
@@ -245,8 +279,16 @@ def create_job(
             .environment_variable("METAFLOW_DEFAULT_DATASTORE", "s3")
             .environment_variable("METAFLOW_DEFAULT_METADATA", DEFAULT_METADATA)
             .environment_variable("METAFLOW_CARD_S3ROOT", CARD_S3ROOT)
+            .environment_variable("METAFLOW_OTEL_ENDPOINT", OTEL_ENDPOINT)
             .environment_variable("METAFLOW_RUNTIME_ENVIRONMENT", "aws-batch")
         )
+
+        # Temporary passing of *some* environment variables. Do not rely on this
+        # mechanism as it will be removed in the near future
+        for k, v in config_values():
+            if k.startswith("METAFLOW_CONDA_") or k.startswith("METAFLOW_DEBUG_"):
+                job.environment_variable(k, v)
+
         if DEFAULT_SECRETS_BACKEND_TYPE is not None:
             job.environment_variable(
                 "METAFLOW_DEFAULT_SECRETS_BACKEND_TYPE", DEFAULT_SECRETS_BACKEND_TYPE
@@ -262,6 +304,11 @@ def create_job(
         if tmpfs_enabled and tmpfs_tempdir:
             job.environment_variable("METAFLOW_TEMPDIR", tmpfs_path)
 
+        if S3_SERVER_SIDE_ENCRYPTION is not None:
+            job.environment_variable(
+                "METAFLOW_S3_SERVER_SIDE_ENCRYPTION", S3_SERVER_SIDE_ENCRYPTION
+            )
+
         # Skip setting METAFLOW_DATASTORE_SYSROOT_LOCAL because metadata sync between the local user
         # instance and the remote AWS Batch instance assumes metadata is stored in DATASTORE_LOCAL_DIR
         # on the remote AWS Batch instance; this happens when METAFLOW_DATASTORE_SYSROOT_LOCAL
@@ -283,14 +330,20 @@ def create_job(
                 "metaflow.flow_name",
                 "metaflow.run_id",
                 "metaflow.step_name",
-                "metaflow.version",
                 "metaflow.run_id.$",
-                "metaflow.user",
-                "metaflow.owner",
                 "metaflow.production_token",
             ]:
                 if key in attrs:
                     job.tag(key, attrs.get(key))
+            # As some values can be affected by users, sanitize them so they adhere to AWS tagging restrictions.
+            for key in [
+                "metaflow.version",
+                "metaflow.user",
+                "metaflow.owner",
+            ]:
+                if key in attrs:
+                    k, v = sanitize_batch_tag(key, attrs.get(key))
+                    job.tag(k, v)
         return job
 
     def launch_job(
@@ -298,6 +351,7 @@ def launch_job(
         step_name,
         step_cli,
         task_spec,
+        code_package_metadata,
         code_package_sha,
         code_package_url,
         code_package_ds,
@@ -313,7 +367,9 @@ def launch_job(
         max_swap=None,
         swappiness=None,
         inferentia=None,
+        efa=None,
         host_volumes=None,
+        efs_volumes=None,
         use_tmpfs=None,
         tmpfs_tempdir=None,
         tmpfs_size=None,
@@ -321,6 +377,9 @@ def launch_job(
         num_parallel=0,
         env={},
         attrs={},
+        ephemeral_storage=None,
+        log_driver=None,
+        log_options=None,
     ):
         if queue is None:
             queue = next(self._client.active_job_queues(), None)
@@ -333,6 +392,7 @@ def launch_job(
             step_name,
             step_cli,
             task_spec,
+            code_package_metadata,
             code_package_sha,
             code_package_url,
             code_package_ds,
@@ -348,14 +408,19 @@ def launch_job(
             max_swap,
             swappiness,
             inferentia,
+            efa,
             env=env,
             attrs=attrs,
             host_volumes=host_volumes,
+            efs_volumes=efs_volumes,
             use_tmpfs=use_tmpfs,
             tmpfs_tempdir=tmpfs_tempdir,
             tmpfs_size=tmpfs_size,
             tmpfs_path=tmpfs_path,
             num_parallel=num_parallel,
+            ephemeral_storage=ephemeral_storage,
+            log_driver=log_driver,
+            log_options=log_options,
         )
         self.num_parallel = num_parallel
         self.job = job.execute()
diff --git a/metaflow/plugins/aws/batch/batch_cli.py b/metaflow/plugins/aws/batch/batch_cli.py
index e82a647a3d0..9d3eb4cbaa0 100644
--- a/metaflow/plugins/aws/batch/batch_cli.py
+++ b/metaflow/plugins/aws/batch/batch_cli.py
@@ -4,15 +4,13 @@
 import time
 import traceback
 
-from distutils.dir_util import copy_tree
-
 from metaflow import util
 from metaflow import R
 from metaflow.exception import CommandException, METAFLOW_EXIT_DISALLOW_RETRY
-from metaflow.metadata.util import sync_local_metadata_from_datastore
+from metaflow.metadata_provider.util import sync_local_metadata_from_datastore
 from metaflow.metaflow_config import DATASTORE_LOCAL_DIR
 from metaflow.mflog import TASK_LOG_SOURCE
-
+from metaflow.unbounded_foreach import UBF_CONTROL, UBF_TASK
 from .batch import Batch, BatchKilledException
 
 
@@ -102,6 +100,7 @@ def kill(ctx, run_id, user, my_runs):
     "Metaflow."
 )
 @click.argument("step-name")
+@click.argument("code-package-metadata")
 @click.argument("code-package-sha")
 @click.argument("code-package-url")
 @click.option("--executable", help="Executable requirement for AWS Batch.")
@@ -141,13 +140,42 @@ def kill(ctx, run_id, user, my_runs):
 @click.option("--max-swap", help="Max Swap requirement for AWS Batch.")
 @click.option("--swappiness", help="Swappiness requirement for AWS Batch.")
 @click.option("--inferentia", help="Inferentia requirement for AWS Batch.")
+@click.option(
+    "--efa",
+    default=0,
+    type=int,
+    help="Activate designated number of elastic fabric adapter devices. "
+    "EFA driver must be installed and instance type compatible with EFA",
+)
 @click.option("--use-tmpfs", is_flag=True, help="tmpfs requirement for AWS Batch.")
 @click.option("--tmpfs-tempdir", is_flag=True, help="tmpfs requirement for AWS Batch.")
 @click.option("--tmpfs-size", help="tmpfs requirement for AWS Batch.")
 @click.option("--tmpfs-path", help="tmpfs requirement for AWS Batch.")
-# TODO: Maybe remove it altogether since it's not used here
-@click.option("--ubf-context", default=None, type=click.Choice([None, "ubf_control"]))
+# NOTE: ubf-context is not explicitly used, but @parallel decorator tries to pass this so keep it for now
+@click.option(
+    "--ubf-context", default=None, type=click.Choice(["none", UBF_CONTROL, UBF_TASK])
+)
 @click.option("--host-volumes", multiple=True)
+@click.option("--efs-volumes", multiple=True)
+@click.option(
+    "--ephemeral-storage",
+    default=None,
+    type=int,
+    help="Ephemeral storage (for AWS Batch only)",
+)
+@click.option(
+    "--log-driver",
+    default=None,
+    type=str,
+    help="Log driver for AWS ECS container",
+)
+@click.option(
+    "--log-options",
+    default=None,
+    type=str,
+    multiple=True,
+    help="Log options for the chosen log driver",
+)
 @click.option(
     "--num-parallel",
     default=0,
@@ -158,6 +186,7 @@ def kill(ctx, run_id, user, my_runs):
 def step(
     ctx,
     step_name,
+    code_package_metadata,
     code_package_sha,
     code_package_url,
     executable=None,
@@ -173,13 +202,18 @@ def step(
     max_swap=None,
     swappiness=None,
     inferentia=None,
+    efa=None,
     use_tmpfs=None,
     tmpfs_tempdir=None,
     tmpfs_size=None,
     tmpfs_path=None,
     host_volumes=None,
+    efs_volumes=None,
+    ephemeral_storage=None,
+    log_driver=None,
+    log_options=None,
     num_parallel=None,
-    **kwargs
+    **kwargs,
 ):
     def echo(msg, stream="stderr", batch_id=None, **kwargs):
         msg = util.to_unicode(msg)
@@ -190,8 +224,7 @@ def echo(msg, stream="stderr", batch_id=None, **kwargs):
     if R.use_r():
         entrypoint = R.entrypoint()
     else:
-        if executable is None:
-            executable = ctx.obj.environment.executable(step_name)
+        executable = ctx.obj.environment.executable(step_name, executable)
         entrypoint = "%s -u %s" % (executable, os.path.basename(sys.argv[0]))
 
     top_args = " ".join(util.dict_to_cli_options(ctx.parent.parent.params))
@@ -242,11 +275,11 @@ def echo(msg, stream="stderr", batch_id=None, **kwargs):
         "metaflow_version"
     ]
 
+    env = {"METAFLOW_FLOW_FILENAME": os.path.basename(sys.argv[0])}
+
     env_deco = [deco for deco in node.decorators if deco.name == "environment"]
     if env_deco:
-        env = env_deco[0].attributes["vars"]
-    else:
-        env = {}
+        env.update(env_deco[0].attributes["vars"])
 
     # Add the environment variables related to the input-paths argument
     if split_vars:
@@ -286,6 +319,7 @@ def _sync_metadata():
                 step_name,
                 step_cli,
                 task_spec,
+                code_package_metadata,
                 code_package_sha,
                 code_package_url,
                 ctx.obj.flow_datastore.TYPE,
@@ -301,16 +335,21 @@ def _sync_metadata():
                 max_swap=max_swap,
                 swappiness=swappiness,
                 inferentia=inferentia,
+                efa=efa,
                 env=env,
                 attrs=attrs,
                 host_volumes=host_volumes,
+                efs_volumes=efs_volumes,
                 use_tmpfs=use_tmpfs,
                 tmpfs_tempdir=tmpfs_tempdir,
                 tmpfs_size=tmpfs_size,
                 tmpfs_path=tmpfs_path,
+                ephemeral_storage=ephemeral_storage,
+                log_driver=log_driver,
+                log_options=log_options,
                 num_parallel=num_parallel,
             )
-    except Exception as e:
+    except Exception:
         traceback.print_exc()
         _sync_metadata()
         sys.exit(METAFLOW_EXIT_DISALLOW_RETRY)
diff --git a/metaflow/plugins/aws/batch/batch_client.py b/metaflow/plugins/aws/batch/batch_client.py
index 8ef26070f61..bf0f6a824e7 100644
--- a/metaflow/plugins/aws/batch/batch_client.py
+++ b/metaflow/plugins/aws/batch/batch_client.py
@@ -1,9 +1,7 @@
 # -*- coding: utf-8 -*-
-from collections import defaultdict, deque
+from collections import defaultdict
 import copy
 import random
-import select
-import sys
 import time
 import hashlib
 
@@ -89,6 +87,9 @@ def execute(self):
         # Multinode
         if getattr(self, "num_parallel", 0) >= 1:
             num_nodes = self.num_parallel
+            # We need this task-id set so that all the nodes are aware of the control
+            # task's task-id. These "MF_" variables populate the `current.parallel` namedtuple
+            self.environment_variable("MF_PARALLEL_CONTROL_TASK_ID", self._task_id)
             main_task_override = copy.deepcopy(self.payload["containerOverrides"])
 
             # main
@@ -149,13 +150,18 @@ def _register_job_definition(
         max_swap,
         swappiness,
         inferentia,
+        efa,
         memory,
         host_volumes,
+        efs_volumes,
         use_tmpfs,
         tmpfs_tempdir,
         tmpfs_size,
         tmpfs_path,
         num_parallel,
+        ephemeral_storage,
+        log_driver,
+        log_options,
     ):
         # identify platform from any compute environment associated with the
         # queue
@@ -193,6 +199,25 @@ def _register_job_definition(
             "propagateTags": True,
         }
 
+        log_options_dict = {}
+        if log_options:
+            if isinstance(log_options, str):
+                log_options = [log_options]
+            for each_log_option in log_options:
+                k, v = each_log_option.split(":", 1)
+                log_options_dict[k] = v
+
+        if log_driver or log_options:
+            job_definition["containerProperties"]["logConfiguration"] = {}
+        if log_driver:
+            job_definition["containerProperties"]["logConfiguration"][
+                "logDriver"
+            ] = log_driver
+        if log_options:
+            job_definition["containerProperties"]["logConfiguration"][
+                "options"
+            ] = log_options_dict
+
         if platform == "FARGATE" or platform == "FARGATE_SPOT":
             if num_parallel > 1:
                 raise BatchJobException("Fargate does not support multinode jobs.")
@@ -208,6 +233,10 @@ def _register_job_definition(
             job_definition["containerProperties"]["networkConfiguration"] = {
                 "assignPublicIp": "ENABLED"
             }
+            if ephemeral_storage:
+                job_definition["containerProperties"]["ephemeralStorage"] = {
+                    "sizeInGiB": ephemeral_storage
+                }
 
         if platform == "EC2" or platform == "SPOT":
             if "linuxParameters" not in job_definition["containerProperties"]:
@@ -215,7 +244,7 @@ def _register_job_definition(
             if shared_memory is not None:
                 if not (
                     isinstance(shared_memory, (int, unicode, basestring))
-                    and int(shared_memory) > 0
+                    and int(float(shared_memory)) > 0
                 ):
                     raise BatchJobException(
                         "Invalid shared memory size value ({}); "
@@ -224,7 +253,7 @@ def _register_job_definition(
                 else:
                     job_definition["containerProperties"]["linuxParameters"][
                         "sharedMemorySize"
-                    ] = int(shared_memory)
+                    ] = int(float(shared_memory))
             if swappiness is not None:
                 if not (
                     isinstance(swappiness, (int, unicode, basestring))
@@ -252,6 +281,10 @@ def _register_job_definition(
                     job_definition["containerProperties"]["linuxParameters"][
                         "maxSwap"
                     ] = int(max_swap)
+            if ephemeral_storage:
+                raise BatchJobException(
+                    "The ephemeral_storage parameter is only available for FARGATE compute environments"
+                )
 
         if inferentia:
             if not (isinstance(inferentia, (int, unicode, basestring))):
@@ -269,24 +302,54 @@ def _register_job_definition(
                         {
                             "containerPath": "/dev/neuron{}".format(i),
                             "hostPath": "/dev/neuron{}".format(i),
-                            "permissions": ["read", "write"],
+                            "permissions": ["READ", "WRITE"],
                         }
                     )
 
-        if host_volumes:
+        if host_volumes or efs_volumes:
             job_definition["containerProperties"]["volumes"] = []
             job_definition["containerProperties"]["mountPoints"] = []
-            if isinstance(host_volumes, str):
-                host_volumes = [host_volumes]
-            for host_path in host_volumes:
-                name = host_path.replace("/", "_").replace(".", "_")
-                job_definition["containerProperties"]["volumes"].append(
-                    {"name": name, "host": {"sourcePath": host_path}}
-                )
-                job_definition["containerProperties"]["mountPoints"].append(
-                    {"sourceVolume": name, "containerPath": host_path}
-                )
 
+            if host_volumes:
+                if isinstance(host_volumes, str):
+                    host_volumes = [host_volumes]
+                for host_path in host_volumes:
+                    container_path = host_path
+                    if ":" in host_path:
+                        host_path, container_path = host_path.split(":", 1)
+                    name = host_path.replace("/", "_").replace(".", "_")
+                    job_definition["containerProperties"]["volumes"].append(
+                        {"name": name, "host": {"sourcePath": host_path}}
+                    )
+                    job_definition["containerProperties"]["mountPoints"].append(
+                        {"sourceVolume": name, "containerPath": container_path}
+                    )
+
+            if efs_volumes:
+                if isinstance(efs_volumes, str):
+                    efs_volumes = [efs_volumes]
+                for efs_id in efs_volumes:
+                    container_path = "/mnt/" + efs_id
+                    if ":" in efs_id:
+                        efs_id, container_path = efs_id.split(":", 1)
+                    name = "efs_" + efs_id
+                    job_definition["containerProperties"]["volumes"].append(
+                        {
+                            "name": name,
+                            "efsVolumeConfiguration": {
+                                "fileSystemId": efs_id,
+                                "transitEncryption": "ENABLED",
+                            },
+                        }
+                    )
+                    job_definition["containerProperties"]["mountPoints"].append(
+                        {"sourceVolume": name, "containerPath": container_path}
+                    )
+
+        if use_tmpfs and (platform == "FARGATE" or platform == "FARGATE_SPOT"):
+            raise BatchJobException(
+                "tmpfs is not available for Fargate compute resources"
+            )
         if use_tmpfs or (tmpfs_size and not use_tmpfs):
             if tmpfs_size:
                 if not (isinstance(tmpfs_size, (int, unicode, basestring))):
@@ -297,7 +360,7 @@ def _register_job_definition(
                     )
             else:
                 # default tmpfs behavior - https://man7.org/linux/man-pages/man5/tmpfs.5.html
-                tmpfs_size = int(memory) / 2
+                tmpfs_size = int(float(memory)) / 2
 
             job_definition["containerProperties"]["linuxParameters"]["tmpfs"] = [
                 {
@@ -310,6 +373,39 @@ def _register_job_definition(
                 }
             ]
 
+        if efa:
+            if not (isinstance(efa, (int, unicode, basestring))):
+                raise BatchJobException(
+                    "Invalid efa value: ({}) (should be 0 or greater)".format(efa)
+                )
+            else:
+                if "linuxParameters" not in job_definition["containerProperties"]:
+                    job_definition["containerProperties"]["linuxParameters"] = {}
+                if (
+                    "devices"
+                    not in job_definition["containerProperties"]["linuxParameters"]
+                ):
+                    job_definition["containerProperties"]["linuxParameters"][
+                        "devices"
+                    ] = []
+                if (num_parallel or 0) > 1:
+                    # Multi-node parallel jobs require the container path and permissions explicitly specified in Job definition
+                    for i in range(int(efa)):
+                        job_definition["containerProperties"]["linuxParameters"][
+                            "devices"
+                        ].append(
+                            {
+                                "hostPath": "/dev/infiniband/uverbs{}".format(i),
+                                "containerPath": "/dev/infiniband/uverbs{}".format(i),
+                                "permissions": ["READ", "WRITE", "MKNOD"],
+                            }
+                        )
+                else:
+                    # Single-node container jobs only require host path in job definition
+                    job_definition["containerProperties"]["linuxParameters"][
+                        "devices"
+                    ].append({"hostPath": "/dev/infiniband/uverbs0"})
+
         self.num_parallel = num_parallel or 0
         if self.num_parallel >= 1:
             job_definition["type"] = "multinode"
@@ -332,6 +428,7 @@ def _register_job_definition(
                         "container": job_definition["containerProperties"],
                     }
                 )
+
             del job_definition["containerProperties"]  # not used for multi-node
 
         # check if job definition already exists
@@ -371,13 +468,18 @@ def job_def(
         max_swap,
         swappiness,
         inferentia,
+        efa,
         memory,
         host_volumes,
+        efs_volumes,
         use_tmpfs,
         tmpfs_tempdir,
         tmpfs_size,
         tmpfs_path,
         num_parallel,
+        ephemeral_storage,
+        log_driver,
+        log_options,
     ):
         self.payload["jobDefinition"] = self._register_job_definition(
             image,
@@ -388,13 +490,18 @@ def job_def(
             max_swap,
             swappiness,
             inferentia,
+            efa,
             memory,
             host_volumes,
+            efs_volumes,
             use_tmpfs,
             tmpfs_tempdir,
             tmpfs_size,
             tmpfs_path,
             num_parallel,
+            ephemeral_storage,
+            log_driver,
+            log_options,
         )
         return self
 
@@ -438,6 +545,10 @@ def inferentia(self, inferentia):
         self._inferentia = inferentia
         return self
 
+    def efa(self, efa):
+        self._efa = efa
+        return self
+
     def command(self, command):
         if "command" not in self.payload["containerOverrides"]:
             self.payload["containerOverrides"]["command"] = []
diff --git a/metaflow/plugins/aws/batch/batch_decorator.py b/metaflow/plugins/aws/batch/batch_decorator.py
index 6dcb6e8e996..7eac3a602f1 100644
--- a/metaflow/plugins/aws/batch/batch_decorator.py
+++ b/metaflow/plugins/aws/batch/batch_decorator.py
@@ -1,34 +1,31 @@
 import os
-import sys
 import platform
-import requests
+import sys
 import time
 
-from metaflow import util
 from metaflow import R, current
-
 from metaflow.decorators import StepDecorator
-from metaflow.plugins.resources_decorator import ResourcesDecorator
-from metaflow.plugins.timeout_decorator import get_run_time_limit_for_task
-from metaflow.metadata import MetaDatum
-from metaflow.metadata.util import sync_local_metadata_to_datastore
+from metaflow.metadata_provider import MetaDatum
+from metaflow.metadata_provider.util import sync_local_metadata_to_datastore
 from metaflow.metaflow_config import (
-    ECS_S3_ACCESS_IAM_ROLE,
-    BATCH_JOB_QUEUE,
     BATCH_CONTAINER_IMAGE,
     BATCH_CONTAINER_REGISTRY,
-    ECS_FARGATE_EXECUTION_ROLE,
+    BATCH_JOB_QUEUE,
     DATASTORE_LOCAL_DIR,
+    ECS_FARGATE_EXECUTION_ROLE,
+    ECS_S3_ACCESS_IAM_ROLE,
+    FEAT_ALWAYS_UPLOAD_CODE_PACKAGE,
 )
+from metaflow.plugins.timeout_decorator import get_run_time_limit_for_task
 from metaflow.sidecar import Sidecar
 from metaflow.unbounded_foreach import UBF_CONTROL
 
-from .batch import BatchException
 from ..aws_utils import (
     compute_resource_attributes,
     get_docker_registry,
     get_ec2_instance_metadata,
 )
+from .batch import BatchException
 
 
 class BatchDecorator(StepDecorator):
@@ -37,52 +34,66 @@ class BatchDecorator(StepDecorator):
 
     Parameters
     ----------
-    cpu : int, default: 1
+    cpu : int, default 1
         Number of CPUs required for this step. If `@resources` is
         also present, the maximum value from all decorators is used.
-    gpu : int, default: 0
+    gpu : int, default 0
         Number of GPUs required for this step. If `@resources` is
         also present, the maximum value from all decorators is used.
-    memory : int, default: 4096
+    memory : int, default 4096
         Memory size (in MB) required for this step. If
         `@resources` is also present, the maximum value from all decorators is
         used.
-    image : str, optional
+    image : str, optional, default None
         Docker image to use when launching on AWS Batch. If not specified, and
         METAFLOW_BATCH_CONTAINER_IMAGE is specified, that image is used. If
         not, a default Docker image mapping to the current version of Python is used.
-    queue : str, default: METAFLOW_BATCH_JOB_QUEUE
+    queue : str, default METAFLOW_BATCH_JOB_QUEUE
         AWS Batch Job Queue to submit the job to.
-    iam_role : str, default: METAFLOW_ECS_S3_ACCESS_IAM_ROLE
+    iam_role : str, default METAFLOW_ECS_S3_ACCESS_IAM_ROLE
         AWS IAM role that AWS Batch container uses to access AWS cloud resources.
-    execution_role : str, default: METAFLOW_ECS_FARGATE_EXECUTION_ROLE
+    execution_role : str, default METAFLOW_ECS_FARGATE_EXECUTION_ROLE
         AWS IAM role that AWS Batch can use [to trigger AWS Fargate tasks]
         (https://docs.aws.amazon.com/batch/latest/userguide/execution-IAM-role.html).
-    shared_memory : int, optional
+    shared_memory : int, optional, default None
         The value for the size (in MiB) of the /dev/shm volume for this step.
         This parameter maps to the `--shm-size` option in Docker.
-    max_swap : int, optional
+    max_swap : int, optional, default None
         The total amount of swap memory (in MiB) a container can use for this
         step. This parameter is translated to the `--memory-swap` option in
         Docker where the value is the sum of the container memory plus the
         `max_swap` value.
-    swappiness : int, optional
+    swappiness : int, optional, default None
         This allows you to tune memory swappiness behavior for this step.
         A swappiness value of 0 causes swapping not to happen unless absolutely
         necessary. A swappiness value of 100 causes pages to be swapped very
         aggressively. Accepted values are whole numbers between 0 and 100.
-    use_tmpfs: bool, default: False
-        This enables an explicit tmpfs mount for this step.
-    tmpfs_tempdir: bool, default: True
+    use_tmpfs : bool, default False
+        This enables an explicit tmpfs mount for this step. Note that tmpfs is
+        not available on Fargate compute environments
+    tmpfs_tempdir : bool, default True
         sets METAFLOW_TEMPDIR to tmpfs_path if set for this step.
-    tmpfs_size: int, optional
+    tmpfs_size : int, optional, default None
         The value for the size (in MiB) of the tmpfs mount for this step.
         This parameter maps to the `--tmpfs` option in Docker. Defaults to 50% of the
         memory allocated for this step.
-    tmpfs_path: string, optional
+    tmpfs_path : str, optional, default None
         Path to tmpfs mount for this step. Defaults to /metaflow_temp.
-    inferentia : int, default: 0
+    inferentia : int, default 0
         Number of Inferentia chips required for this step.
+    trainium : int, default None
+        Alias for inferentia. Use only one of the two.
+    efa : int, default 0
+        Number of elastic fabric adapter network devices to attach to container
+    ephemeral_storage : int, default None
+        The total amount, in GiB, of ephemeral storage to set for the task, 21-200GiB.
+        This is only relevant for Fargate compute environments
+    log_driver: str, optional, default None
+        The log driver to use for the Amazon ECS container.
+    log_options: List[str], optional, default None
+        List of strings containing options for the chosen log driver. The configurable values
+        depend on the `log driver` chosen. Validation of these options is not supported yet.
+        Example: [`awslogs-group:aws/batch/job`]
     """
 
     name = "batch"
@@ -98,24 +109,34 @@ class BatchDecorator(StepDecorator):
         "max_swap": None,
         "swappiness": None,
         "inferentia": None,
+        "trainium": None,  # alias for inferentia
+        "efa": None,
         "host_volumes": None,
+        "efs_volumes": None,
         "use_tmpfs": False,
         "tmpfs_tempdir": True,
         "tmpfs_size": None,
         "tmpfs_path": "/metaflow_temp",
+        "ephemeral_storage": None,
+        "log_driver": None,
+        "log_options": None,
+        "executable": None,
     }
     resource_defaults = {
         "cpu": "1",
         "gpu": "0",
         "memory": "4096",
     }
+    package_metadata = None
     package_url = None
     package_sha = None
     run_time_limit = None
 
-    def __init__(self, attributes=None, statically_defined=False):
-        super(BatchDecorator, self).__init__(attributes, statically_defined)
+    # Conda environment support
+    supports_conda_environment = True
+    target_platform = "linux-64"
 
+    def init(self):
         # If no docker image is explicitly specified, impute a default image.
         if not self.attributes["image"]:
             # If metaflow-config specifies a docker image, just use that.
@@ -142,6 +163,21 @@ def __init__(self, attributes=None, statically_defined=False):
                     self.attributes["image"],
                 )
 
+        # Alias trainium to inferentia and check that both are not in use.
+        if (
+            self.attributes["inferentia"] is not None
+            and self.attributes["trainium"] is not None
+        ):
+            raise BatchException(
+                "only specify a value for 'inferentia' or 'trainium', not both."
+            )
+
+        if self.attributes["trainium"] is not None:
+            self.attributes["inferentia"] = self.attributes["trainium"]
+
+        # clean up the alias attribute so it is not passed on.
+        self.attributes.pop("trainium", None)
+
     # Refer https://github.com/Netflix/metaflow/blob/master/docs/lifecycle.png
     # to understand where these functions are invoked in the lifecycle of a
     # Metaflow flow.
@@ -192,6 +228,7 @@ def runtime_step_cli(
             # to execute on AWS Batch anymore. We can execute possible fallback
             # code locally.
             cli_args.commands = ["batch", "step"]
+            cli_args.command_args.append(self.package_metadata)
             cli_args.command_args.append(self.package_sha)
             cli_args.command_args.append(self.package_url)
             cli_args.command_options.update(self.attributes)
@@ -226,8 +263,8 @@ def task_pre_step(
         # metadata. A rudimentary way to detect non-local execution is to
         # check for the existence of AWS_BATCH_JOB_ID environment variable.
 
+        meta = {}
         if "AWS_BATCH_JOB_ID" in os.environ:
-            meta = {}
             meta["aws-batch-job-id"] = os.environ["AWS_BATCH_JOB_ID"]
             meta["aws-batch-job-attempt"] = os.environ["AWS_BATCH_JOB_ATTEMPT"]
             meta["aws-batch-ce-name"] = os.environ["AWS_BATCH_CE_NAME"]
@@ -240,6 +277,10 @@ def task_pre_step(
             # Metaflow would be running the container agent compatible with
             # version V4.
             # https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-metadata-endpoint.html
+
+            # TODO: Remove dependency on requests
+            import requests
+
             try:
                 logs_meta = (
                     requests.get(url=os.environ["ECS_CONTAINER_METADATA_URI_V4"])
@@ -255,21 +296,16 @@ def task_pre_step(
             instance_meta = get_ec2_instance_metadata()
             meta.update(instance_meta)
 
-            entries = [
-                MetaDatum(
-                    field=k,
-                    value=v,
-                    type=k,
-                    tags=["attempt_id:{0}".format(retry_count)],
-                )
-                for k, v in meta.items()
-            ]
-            # Register book-keeping metadata for debugging.
-            metadata.register_metadata(run_id, step_name, task_id, entries)
-
             self._save_logs_sidecar = Sidecar("save_logs_periodically")
             self._save_logs_sidecar.start()
 
+            # Start spot termination monitor sidecar.
+            current._update_env(
+                {"spot_termination_notice": "/tmp/spot_termination_notice"}
+            )
+            self._spot_monitor_sidecar = Sidecar("spot_termination_monitor")
+            self._spot_monitor_sidecar.start()
+
         num_parallel = int(os.environ.get("AWS_BATCH_JOB_NUM_NODES", 0))
         if num_parallel >= 1 and ubf_context == UBF_CONTROL:
             # UBF handling for multinode case
@@ -287,6 +323,21 @@ def task_pre_step(
 
         if num_parallel >= 1:
             _setup_multinode_environment()
+            # current.parallel.node_index will be correctly available over here.
+            meta.update({"parallel-node-index": current.parallel.node_index})
+
+        if len(meta) > 0:
+            entries = [
+                MetaDatum(
+                    field=k,
+                    value=v,
+                    type=k,
+                    tags=["attempt_id:{0}".format(retry_count)],
+                )
+                for k, v in meta.items()
+            ]
+            # Register book-keeping metadata for debugging.
+            metadata.register_metadata(run_id, step_name, task_id, entries)
 
     def task_finished(
         self, step_name, flow, graph, is_task_ok, retry_count, max_retries
@@ -307,6 +358,7 @@ def task_finished(
 
         try:
             self._save_logs_sidecar.terminate()
+            self._spot_monitor_sidecar.terminate()
         except:
             # Best effort kill
             pass
@@ -343,7 +395,7 @@ def _wait_for_mapper_tasks(self, flow, step_name):
                             len(flow._control_mapper_tasks),
                         )
                     )
-            except Exception as e:
+            except Exception:
                 pass
         raise Exception(
             "Batch secondary workers did not finish in %s seconds" % TIMEOUT
@@ -352,9 +404,16 @@ def _wait_for_mapper_tasks(self, flow, step_name):
     @classmethod
     def _save_package_once(cls, flow_datastore, package):
         if cls.package_url is None:
-            cls.package_url, cls.package_sha = flow_datastore.save_data(
-                [package.blob], len_hint=1
-            )[0]
+            if not FEAT_ALWAYS_UPLOAD_CODE_PACKAGE:
+                cls.package_url, cls.package_sha = flow_datastore.save_data(
+                    [package.blob], len_hint=1
+                )[0]
+                cls.package_metadata = package.package_metadata
+            else:
+                # Blocks until the package is uploaded
+                cls.package_url = package.package_url()
+                cls.package_sha = package.package_sha()
+                cls.package_metadata = package.package_metadata
 
 
 def _setup_multinode_environment():
diff --git a/metaflow/plugins/aws/secrets_manager/aws_secrets_manager_secrets_provider.py b/metaflow/plugins/aws/secrets_manager/aws_secrets_manager_secrets_provider.py
index 6dfffd192a8..153bbb31d1e 100644
--- a/metaflow/plugins/aws/secrets_manager/aws_secrets_manager_secrets_provider.py
+++ b/metaflow/plugins/aws/secrets_manager/aws_secrets_manager_secrets_provider.py
@@ -37,36 +37,40 @@ def _sanitize_key_as_env_var(key):
     Also, it's TBD whether all possible providers will share the same sanitization logic.
     Therefore we will keep this function private for now
     """
-    return key.replace("-", "_").replace(".", "_")
+    return key.replace("-", "_").replace(".", "_").replace("/", "_")
 
 
 class AwsSecretsManagerSecretsProvider(SecretsProvider):
     TYPE = "aws-secrets-manager"
 
-    def get_secret_as_dict(self, secret_id, options={}):
+    def get_secret_as_dict(self, secret_id, options={}, role=None):
         """
         Reads a secret from AWS Secrets Manager and returns it as a dictionary of environment variables.
 
         The secret payload from AWS is EITHER a string OR a binary blob.
 
         If the secret contains a string payload ("SecretString"):
-        - if the `parse_secret_string_as_json` option is True (default):
+        - if the `json` option is True (default):
             {SecretString} will be parsed as a JSON. If successfully parsed, AND the JSON contains a
             top-level object, each entry K/V in the object will also be converted to an entry in the result. V will
             always be casted to a string (if not already a string).
-        - If `parse_secret_string_as_json` option is False:
-            {SecretString} will be returned as a single entry in the result, with the key being the secret_id.
+        - If `json` option is False:
+            {SecretString} will be returned as a single entry in the result, where the key is either:
+                - the `secret_id`, OR
+                - the value set by `options={"env_var_name": custom_env_var_name}`.
 
-        Otherwise, the secret contains a binary blob payload ("SecretBinary"). In this case
-        - The result dic contains '{SecretName}': '{SecretBinary}', where {SecretBinary} is a base64-encoded string
+        Otherwise, if the secret contains a binary blob payload ("SecretBinary"):
+        - The result dict contains '{SecretName}': '{SecretBinary}', where {SecretBinary} is a base64-encoded string.
 
-        All keys in the result are sanitized to be more valid environment variable names. This is done on a best effort
+        All keys in the result are sanitized to be more valid environment variable names. This is done on a best-effort
         basis. Further validation is expected to be done by the invoking @secrets decorator itself.
 
-        :param secret_id: ARN or friendly name of the secret
-        :param options: unused
-        :return: dict of environment variables. All keys and values are strings.
+        :param secret_id: ARN or friendly name of the secret.
+        :param options: Dictionary of additional options. E.g., `options={"env_var_name": custom_env_var_name}`.
+        :param role: AWS IAM Role ARN to assume before reading the secret.
+        :return: Dictionary of environment variables. All keys and values are strings.
         """
+
         import botocore
         from metaflow.plugins.aws.aws_client import get_aws_client
 
@@ -79,12 +83,15 @@ def get_secret_as_dict(self, secret_id, options={}):
             effective_aws_region = options["region"]
         else:
             effective_aws_region = AWS_SECRETS_MANAGER_DEFAULT_REGION
+
         # At the end of all that, `effective_aws_region` may still be None.
         # This might still be OK, if there is fallback AWS region info in environment like:
         # .aws/config or AWS_REGION env var or AWS_DEFAULT_REGION env var, etc.
         try:
             secrets_manager_client = get_aws_client(
-                "secretsmanager", client_params={"region_name": effective_aws_region}
+                "secretsmanager",
+                client_params={"region_name": effective_aws_region},
+                role_arn=role,
             )
         except botocore.exceptions.NoRegionError:
             # We try our best with a nice error message.
@@ -143,7 +150,11 @@ def _sanitize_and_add_entry_to_result(k, v):
                         "Secret string could not be parsed as JSON"
                     )
             else:
-                _sanitize_and_add_entry_to_result(secret_name, secret_str)
+                if options.get("env_var_name"):
+                    env_var_name = options["env_var_name"]
+                else:
+                    env_var_name = secret_name
+                _sanitize_and_add_entry_to_result(env_var_name, secret_str)
 
         elif "SecretBinary" in response:
             # boto3 docs say response gives base64 encoded, but it's wrong.
@@ -153,8 +164,12 @@ def _sanitize_and_add_entry_to_result(k, v):
             # bytes.
             #
             # The trailing decode gives us a final UTF-8 string.
+            if options.get("env_var_name"):
+                env_var_name = options["env_var_name"]
+            else:
+                env_var_name = secret_name
             _sanitize_and_add_entry_to_result(
-                secret_name, base64.b64encode(response["SecretBinary"]).decode()
+                env_var_name, base64.b64encode(response["SecretBinary"]).decode()
             )
         else:
             raise MetaflowAWSSecretsManagerBadResponse(
diff --git a/metaflow/plugins/aws/step_functions/dynamo_db_client.py b/metaflow/plugins/aws/step_functions/dynamo_db_client.py
index caff1b4a343..2f4859e626d 100644
--- a/metaflow/plugins/aws/step_functions/dynamo_db_client.py
+++ b/metaflow/plugins/aws/step_functions/dynamo_db_client.py
@@ -1,5 +1,5 @@
-import os
-import requests
+import time
+
 from metaflow.metaflow_config import SFN_DYNAMO_DB_TABLE
 
 
@@ -25,12 +25,31 @@ def save_foreach_cardinality(self, foreach_split_task_id, foreach_cardinality, t
     def save_parent_task_id_for_foreach_join(
         self, foreach_split_task_id, foreach_join_parent_task_id
     ):
-        return self._client.update_item(
-            TableName=self.name,
-            Key={"pathspec": {"S": foreach_split_task_id}},
-            UpdateExpression="ADD parent_task_ids_for_foreach_join :val",
-            ExpressionAttributeValues={":val": {"SS": [foreach_join_parent_task_id]}},
-        )
+        ex = None
+        for attempt in range(10):
+            try:
+                return self._client.update_item(
+                    TableName=self.name,
+                    Key={"pathspec": {"S": foreach_split_task_id}},
+                    UpdateExpression="ADD parent_task_ids_for_foreach_join :val",
+                    ExpressionAttributeValues={
+                        ":val": {"SS": [foreach_join_parent_task_id]}
+                    },
+                )
+            except self._client.exceptions.ClientError as error:
+                ex = error
+                if (
+                    error.response["Error"]["Code"]
+                    == "ProvisionedThroughputExceededException"
+                ):
+                    # hopefully, enough time for AWS to scale up! otherwise
+                    # ensure sufficient on-demand throughput for dynamo db
+                    # is provisioned ahead of time
+                    sleep_time = min((2**attempt) * 10, 60)
+                    time.sleep(sleep_time)
+                else:
+                    raise
+        raise ex
 
     def get_parent_task_ids_for_foreach_join(self, foreach_split_task_id):
         response = self._client.get_item(
diff --git a/metaflow/plugins/aws/step_functions/event_bridge_client.py b/metaflow/plugins/aws/step_functions/event_bridge_client.py
index 5620b1de039..7f2273ed559 100644
--- a/metaflow/plugins/aws/step_functions/event_bridge_client.py
+++ b/metaflow/plugins/aws/step_functions/event_bridge_client.py
@@ -60,6 +60,19 @@ def _set(self):
             ],
         )
 
+    def delete(self):
+        try:
+            response = self._client.remove_targets(
+                Rule=self.name,
+                Ids=[self.name],
+            )
+            if response.get("FailedEntryCount", 0) > 0:
+                raise RuntimeError("Failed to remove targets from rule %s" % self.name)
+            return self._client.delete_rule(Name=self.name)
+        except self._client.exceptions.ResourceNotFoundException:
+            # Ignore if the rule does not exist.
+            return None
+
 
 def format(name):
     # AWS Event Bridge has a limit of 64 chars for rule names.
diff --git a/metaflow/plugins/aws/step_functions/production_token.py b/metaflow/plugins/aws/step_functions/production_token.py
index 1561cba1ab5..83e5e760936 100644
--- a/metaflow/plugins/aws/step_functions/production_token.py
+++ b/metaflow/plugins/aws/step_functions/production_token.py
@@ -1,9 +1,9 @@
-import os
 import json
+import os
 import random
 import string
 import zlib
-from itertools import dropwhile, islice
+from itertools import dropwhile
 
 from metaflow.util import to_bytes
 
diff --git a/metaflow/plugins/aws/step_functions/schedule_decorator.py b/metaflow/plugins/aws/step_functions/schedule_decorator.py
index 90f0c5201ef..d5f977538f6 100644
--- a/metaflow/plugins/aws/step_functions/schedule_decorator.py
+++ b/metaflow/plugins/aws/step_functions/schedule_decorator.py
@@ -9,16 +9,16 @@ class ScheduleDecorator(FlowDecorator):
 
     Parameters
     ----------
-    hourly : bool, default: False
+    hourly : bool, default False
         Run the workflow hourly.
-    daily : bool, default: True
+    daily : bool, default True
         Run the workflow daily.
-    weekly : bool, default: False
+    weekly : bool, default False
         Run the workflow weekly.
-    cron : str, optional
+    cron : str, optional, default None
         Run the workflow at [a custom Cron schedule](https://docs.aws.amazon.com/eventbridge/latest/userguide/scheduled-events.html#cron-expressions)
         specified by this expression.
-    timezone : str, optional
+    timezone : str, optional, default None
         Timezone on which the schedule runs (default: None). Currently supported only for Argo workflows,
         which accepts timezones in [IANA format](https://nodatime.org/TimeZones).
     """
diff --git a/metaflow/plugins/aws/step_functions/step_functions.py b/metaflow/plugins/aws/step_functions/step_functions.py
index 5119e34e422..963a39d559c 100644
--- a/metaflow/plugins/aws/step_functions/step_functions.py
+++ b/metaflow/plugins/aws/step_functions/step_functions.py
@@ -4,27 +4,23 @@
 import random
 import string
 import sys
-import time
-import uuid
 from collections import defaultdict
 
 from metaflow import R
 from metaflow.decorators import flow_decorators
-from metaflow.exception import MetaflowException, MetaflowInternalError
+from metaflow.exception import MetaflowException
 from metaflow.metaflow_config import (
     EVENTS_SFN_ACCESS_IAM_ROLE,
     S3_ENDPOINT_URL,
     SFN_DYNAMO_DB_TABLE,
     SFN_EXECUTION_LOG_GROUP_ARN,
     SFN_IAM_ROLE,
+    SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH,
 )
 from metaflow.parameters import deploy_time_eval
-from metaflow.plugins.aws.batch.batch_decorator import BatchDecorator
-from metaflow.plugins.resources_decorator import ResourcesDecorator
-from metaflow.plugins.retry_decorator import RetryDecorator
-from metaflow.util import compress_list, dict_to_cli_options, to_pascalcase
+from metaflow.user_configs.config_options import ConfigInput
+from metaflow.util import dict_to_cli_options, to_pascalcase
 
-from ..aws_utils import compute_resource_attributes
 from ..batch.batch import Batch
 from .event_bridge_client import EventBridgeClient
 from .step_functions_client import StepFunctionsClient
@@ -44,6 +40,7 @@ def __init__(
         name,
         graph,
         flow,
+        code_package_metadata,
         code_package_sha,
         code_package_url,
         production_token,
@@ -58,10 +55,12 @@ def __init__(
         max_workers=None,
         workflow_timeout=None,
         is_project=False,
+        use_distributed_map=False,
     ):
         self.name = name
         self.graph = graph
         self.flow = flow
+        self.code_package_metadata = code_package_metadata
         self.code_package_sha = code_package_sha
         self.code_package_url = code_package_url
         self.production_token = production_token
@@ -75,6 +74,10 @@ def __init__(
         self.username = username
         self.max_workers = max_workers
         self.workflow_timeout = workflow_timeout
+        self.config_parameters = self._process_config_parameters()
+
+        # https://aws.amazon.com/blogs/aws/step-functions-distributed-map-a-serverless-solution-for-large-scale-parallel-data-processing/
+        self.use_distributed_map = use_distributed_map
 
         self._client = StepFunctionsClient()
         self._workflow = self._compile()
@@ -158,6 +161,27 @@ def schedule(self):
         except Exception as e:
             raise StepFunctionsSchedulingException(repr(e))
 
+    @classmethod
+    def delete(cls, name):
+        # Always attempt to delete the event bridge rule.
+        schedule_deleted = EventBridgeClient(name).delete()
+
+        sfn_deleted = StepFunctionsClient().delete(name)
+
+        if sfn_deleted is None:
+            raise StepFunctionsException(
+                "The workflow *%s* doesn't exist on AWS Step Functions." % name
+            )
+
+        return schedule_deleted, sfn_deleted
+
+    @classmethod
+    def terminate(cls, flow_name, name):
+        client = StepFunctionsClient()
+        execution_arn, _, _, _ = cls.get_execution(flow_name, name)
+        response = client.terminate_execution(execution_arn)
+        return response
+
     @classmethod
     def trigger(cls, name, parameters):
         try:
@@ -214,7 +238,7 @@ def get_existing_deployment(cls, name):
                 return parameters.get("metaflow.owner"), parameters.get(
                     "metaflow.production_token"
                 )
-            except KeyError as e:
+            except KeyError:
                 raise StepFunctionsException(
                     "An existing non-metaflow "
                     "workflow with the same name as "
@@ -226,6 +250,50 @@ def get_existing_deployment(cls, name):
                 )
         return None
 
+    @classmethod
+    def get_execution(cls, state_machine_name, name):
+        client = StepFunctionsClient()
+        try:
+            state_machine = client.get(state_machine_name)
+        except Exception as e:
+            raise StepFunctionsException(repr(e))
+        if state_machine is None:
+            raise StepFunctionsException(
+                "The state machine *%s* doesn't exist on AWS Step Functions."
+                % state_machine_name
+            )
+        try:
+            state_machine_arn = state_machine.get("stateMachineArn")
+            environment_vars = (
+                json.loads(state_machine.get("definition"))
+                .get("States")
+                .get("start")
+                .get("Parameters")
+                .get("ContainerOverrides")
+                .get("Environment")
+            )
+            parameters = {
+                item.get("Name"): item.get("Value") for item in environment_vars
+            }
+            executions = client.list_executions(state_machine_arn, states=["RUNNING"])
+            for execution in executions:
+                if execution.get("name") == name:
+                    try:
+                        return (
+                            execution.get("executionArn"),
+                            parameters.get("METAFLOW_OWNER"),
+                            parameters.get("METAFLOW_PRODUCTION_TOKEN"),
+                            parameters.get("SFN_STATE_MACHINE"),
+                        )
+                    except KeyError:
+                        raise StepFunctionsException(
+                            "A non-metaflow workflow *%s* already exists in AWS Step Functions."
+                            % name
+                        )
+            return None
+        except Exception as e:
+            raise StepFunctionsException(repr(e))
+
     def _compile(self):
         if self.flow._flow_decorators.get("trigger") or self.flow._flow_decorators.get(
             "trigger_on_finish"
@@ -234,6 +302,13 @@ def _compile(self):
                 "Deploying flows with @trigger or @trigger_on_finish decorator(s) "
                 "to AWS Step Functions is not supported currently."
             )
+
+        if self.flow._flow_decorators.get("exit_hook"):
+            raise StepFunctionsException(
+                "Deploying flows with the @exit_hook decorator "
+                "to AWS Step Functions is not currently supported."
+            )
+
         # Visit every node of the flow and recursively build the state machine.
         def _visit(node, workflow, exit_node=None):
             if node.parallel_foreach:
@@ -305,17 +380,80 @@ def _visit(node, workflow, exit_node=None):
                     .parameter("SplitParentTaskId.$", "$.JobId")
                     .parameter("Parameters.$", "$.Parameters")
                     .parameter("Index.$", "$$.Map.Item.Value")
-                    .next(node.matching_join)
+                    .next(
+                        "%s_*GetManifest" % iterator_name
+                        if self.use_distributed_map
+                        else node.matching_join
+                    )
                     .iterator(
                         _visit(
                             self.graph[node.out_funcs[0]],
-                            Workflow(node.out_funcs[0]).start_at(node.out_funcs[0]),
+                            Workflow(node.out_funcs[0])
+                            .start_at(node.out_funcs[0])
+                            .mode(
+                                "DISTRIBUTED" if self.use_distributed_map else "INLINE"
+                            ),
                             node.matching_join,
                         )
                     )
                     .max_concurrency(self.max_workers)
-                    .output_path("$.[0]")
+                    # AWS Step Functions has a short coming for DistributedMap at the
+                    # moment that does not allow us to subset the output of for-each
+                    # to just a single element. We have to rely on a rather terrible
+                    # hack and resort to using ResultWriter to write the state to
+                    # Amazon S3 and process it in another task. But, well what can we
+                    # do...
+                    .result_writer(
+                        *(
+                            (
+                                (
+                                    SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH[len("s3://") :]
+                                    if SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH.startswith(
+                                        "s3://"
+                                    )
+                                    else SFN_S3_DISTRIBUTED_MAP_OUTPUT_PATH
+                                ).split("/", 1)
+                                + [""]
+                            )[:2]
+                            if self.use_distributed_map
+                            else (None, None)
+                        )
+                    )
+                    .output_path("$" if self.use_distributed_map else "$.[0]")
                 )
+                if self.use_distributed_map:
+                    workflow.add_state(
+                        State("%s_*GetManifest" % iterator_name)
+                        .resource("arn:aws:states:::aws-sdk:s3:getObject")
+                        .parameter("Bucket.$", "$.ResultWriterDetails.Bucket")
+                        .parameter("Key.$", "$.ResultWriterDetails.Key")
+                        .next("%s_*Map" % iterator_name)
+                        .result_selector("Body.$", "States.StringToJson($.Body)")
+                    )
+                    workflow.add_state(
+                        Map("%s_*Map" % iterator_name)
+                        .iterator(
+                            Workflow("%s_*PassWorkflow" % iterator_name)
+                            .mode("DISTRIBUTED")
+                            .start_at("%s_*Pass" % iterator_name)
+                            .add_state(
+                                Pass("%s_*Pass" % iterator_name)
+                                .end()
+                                .parameter("Output.$", "States.StringToJson($.Output)")
+                                .output_path("$.Output")
+                            )
+                        )
+                        .next(node.matching_join)
+                        .max_concurrency(1000)
+                        .item_reader(
+                            JSONItemReader()
+                            .resource("arn:aws:states:::s3:getObject")
+                            .parameter("Bucket.$", "$.Body.DestinationBucket")
+                            .parameter("Key.$", "$.Body.ResultFiles.SUCCEEDED[0].Key")
+                        )
+                        .output_path("$.[0]")
+                    )
+
                 # Continue the traversal from the matching_join.
                 _visit(self.graph[node.matching_join], workflow, exit_node)
             # We shouldn't ideally ever get here.
@@ -357,6 +495,10 @@ def _process_parameters(self):
                     "case-insensitive." % param.name
                 )
             seen.add(norm)
+            # NOTE: We skip config parameters as these do not have dynamic values,
+            # and need to be treated differently.
+            if param.IS_CONFIG_PARAMETER:
+                continue
 
             is_required = param.kwargs.get("required", False)
             # Throw an exception if a schedule is set for a flow with required
@@ -373,6 +515,27 @@ def _process_parameters(self):
             parameters.append(dict(name=param.name, value=value))
         return parameters
 
+    def _process_config_parameters(self):
+        parameters = []
+        seen = set()
+        for var, param in self.flow._get_parameters():
+            if not param.IS_CONFIG_PARAMETER:
+                continue
+            # Throw an exception if the parameter is specified twice.
+            norm = param.name.lower()
+            if norm in seen:
+                raise MetaflowException(
+                    "Parameter *%s* is specified twice. "
+                    "Note that parameter names are "
+                    "case-insensitive." % param.name
+                )
+            seen.add(norm)
+
+            parameters.append(
+                dict(name=param.name, kv_name=ConfigInput.make_key_name(param.name))
+            )
+        return parameters
+
     def _batch(self, node):
         attrs = {
             # metaflow.user is only used for setting the AWS Job Name.
@@ -384,7 +547,6 @@ def _batch(self, node):
             "metaflow.owner": self.username,
             "metaflow.flow_name": self.flow.name,
             "metaflow.step_name": node.name,
-            "metaflow.run_id.$": "$$.Execution.Name",
             # Unfortunately we can't set the task id here since AWS Step
             # Functions lacks any notion of run-scoped task identifiers. We
             # instead co-opt the AWS Batch job id as the task id. This also
@@ -396,6 +558,10 @@ def _batch(self, node):
             # `$$.State.RetryCount` resolves to an int dynamically and
             # AWS Batch job specification only accepts strings. We handle
             # retries/catch within AWS Batch to get around this limitation.
+            # And, we also cannot set the run id here since the run id maps to
+            # the execution name of the AWS Step Functions State Machine, which
+            # is different when executing inside a distributed map. We set it once
+            # in the start step and move it along to be consumed by all the children.
             "metaflow.version": self.environment.get_environment_info()[
                 "metaflow_version"
             ],
@@ -432,6 +598,12 @@ def _batch(self, node):
             env["METAFLOW_S3_ENDPOINT_URL"] = S3_ENDPOINT_URL
 
         if node.name == "start":
+            # metaflow.run_id maps to AWS Step Functions State Machine Execution in all
+            # cases except for when within a for-each construct that relies on
+            # Distributed Map. To work around this issue, we pass the run id from the
+            # start step to all subsequent tasks.
+            attrs["metaflow.run_id.$"] = "$$.Execution.Name"
+
             # Initialize parameters for the flow in the `start` step.
             parameters = self._process_parameters()
             if parameters:
@@ -490,6 +662,8 @@ def _batch(self, node):
                 env["METAFLOW_SPLIT_PARENT_TASK_ID"] = (
                     "$.Parameters.split_parent_task_id_%s" % node.split_parents[-1]
                 )
+                # Inherit the run id from the parent and pass it along to children.
+                attrs["metaflow.run_id.$"] = "$.Parameters.['metaflow.run_id']"
             else:
                 # Set appropriate environment variables for runtime replacement.
                 if len(node.in_funcs) == 1:
@@ -498,6 +672,8 @@ def _batch(self, node):
                         % node.in_funcs[0]
                     )
                     env["METAFLOW_PARENT_TASK_ID"] = "$.JobId"
+                    # Inherit the run id from the parent and pass it along to children.
+                    attrs["metaflow.run_id.$"] = "$.Parameters.['metaflow.run_id']"
                 else:
                     # Generate the input paths in a quasi-compressed format.
                     # See util.decompress_list for why this is written the way
@@ -507,6 +683,8 @@ def _batch(self, node):
                         "${METAFLOW_PARENT_%s_TASK_ID}" % (idx, idx)
                         for idx, _ in enumerate(node.in_funcs)
                     )
+                    # Inherit the run id from the parent and pass it along to children.
+                    attrs["metaflow.run_id.$"] = "$.[0].Parameters.['metaflow.run_id']"
                     for idx, _ in enumerate(node.in_funcs):
                         env["METAFLOW_PARENT_%s_TASK_ID" % idx] = "$.[%s].JobId" % idx
                         env["METAFLOW_PARENT_%s_STEP" % idx] = (
@@ -521,9 +699,9 @@ def _batch(self, node):
                 # input to those descendent tasks. We set and propagate the
                 # task ids pointing to split_parents through every state.
                 if any(self.graph[n].type == "foreach" for n in node.in_funcs):
-                    attrs[
-                        "split_parent_task_id_%s.$" % node.split_parents[-1]
-                    ] = "$.SplitParentTaskId"
+                    attrs["split_parent_task_id_%s.$" % node.split_parents[-1]] = (
+                        "$.SplitParentTaskId"
+                    )
                     for parent in node.split_parents[:-1]:
                         if self.graph[parent].type == "foreach":
                             attrs["split_parent_task_id_%s.$" % parent] = (
@@ -604,6 +782,11 @@ def _batch(self, node):
         metaflow_version["production_token"] = self.production_token
         env["METAFLOW_VERSION"] = json.dumps(metaflow_version)
 
+        # map config values
+        cfg_env = {param["name"]: param["kv_name"] for param in self.config_parameters}
+        if cfg_env:
+            env["METAFLOW_FLOW_CONFIG_VALUE"] = json.dumps(cfg_env)
+
         # Set AWS DynamoDb Table Name for state tracking for for-eaches.
         # There are three instances when metaflow runtime directly interacts
         # with AWS DynamoDB.
@@ -649,11 +832,6 @@ def _batch(self, node):
         batch_deco = [deco for deco in node.decorators if deco.name == "batch"][0]
         resources = {}
         resources.update(batch_deco.attributes)
-        resources.update(
-            compute_resource_attributes(
-                node.decorators, batch_deco, batch_deco.resource_defaults
-            )
-        )
         # Resolve retry strategy.
         user_code_retries, total_retries = self._get_retries(node)
 
@@ -677,6 +855,7 @@ def _batch(self, node):
                     node, input_paths, self.code_package_url, user_code_retries
                 ),
                 task_spec=task_spec,
+                code_package_metadata=self.code_package_metadata,
                 code_package_sha=self.code_package_sha,
                 code_package_url=self.code_package_url,
                 code_package_ds=self.flow_datastore.TYPE,
@@ -691,6 +870,7 @@ def _batch(self, node):
                 shared_memory=resources["shared_memory"],
                 max_swap=resources["max_swap"],
                 swappiness=resources["swappiness"],
+                efa=resources["efa"],
                 use_tmpfs=resources["use_tmpfs"],
                 tmpfs_tempdir=resources["tmpfs_tempdir"],
                 tmpfs_size=resources["tmpfs_size"],
@@ -699,6 +879,10 @@ def _batch(self, node):
                 env=env,
                 attrs=attrs,
                 host_volumes=resources["host_volumes"],
+                efs_volumes=resources["efs_volumes"],
+                ephemeral_storage=resources["ephemeral_storage"],
+                log_driver=resources["log_driver"],
+                log_options=resources["log_options"],
             )
             .attempts(total_retries + 1)
         )
@@ -732,13 +916,13 @@ def _step_cli(self, node, paths, code_package_url, user_code_retries):
             "with": [
                 decorator.make_decorator_spec()
                 for decorator in node.decorators
-                if not decorator.statically_defined
+                if not decorator.statically_defined and decorator.inserted_by is None
             ]
         }
         # FlowDecorators can define their own top-level options. They are
         # responsible for adding their own top-level options and values through
         # the get_top_level_options() hook. See similar logic in runtime.py.
-        for deco in flow_decorators():
+        for deco in flow_decorators(self.flow):
             top_opts_dict.update(deco.get_top_level_options())
 
         top_opts = list(dict_to_cli_options(top_opts_dict))
@@ -836,6 +1020,12 @@ def __init__(self, name):
         tree = lambda: defaultdict(tree)
         self.payload = tree()
 
+    def mode(self, mode):
+        self.payload["ProcessorConfig"] = {"Mode": mode}
+        if mode == "DISTRIBUTED":
+            self.payload["ProcessorConfig"]["ExecutionType"] = "STANDARD"
+        return self
+
     def start_at(self, start_at):
         self.payload["StartAt"] = start_at
         return self
@@ -883,10 +1073,18 @@ def result_path(self, result_path):
         self.payload["ResultPath"] = result_path
         return self
 
+    def result_selector(self, name, value):
+        self.payload["ResultSelector"][name] = value
+        return self
+
     def _partition(self):
         # This is needed to support AWS Gov Cloud and AWS CN regions
         return SFN_IAM_ROLE.split(":")[1]
 
+    def retry_strategy(self, retry_strategy):
+        self.payload["Retry"] = [retry_strategy]
+        return self
+
     def batch(self, job):
         self.resource(
             "arn:%s:states:::batch:submitJob.sync" % self._partition()
@@ -906,6 +1104,19 @@ def batch(self, job):
         # tags may not be present in all scenarios
         if "tags" in job.payload:
             self.parameter("Tags", job.payload["tags"])
+        # set retry strategy for AWS Batch job submission to account for the
+        # measily 50 jobs / second queue admission limit which people can
+        # run into very quickly.
+        self.retry_strategy(
+            {
+                "ErrorEquals": ["Batch.AWSBatchException"],
+                "BackoffRate": 2,
+                "IntervalSeconds": 2,
+                "MaxDelaySeconds": 60,
+                "MaxAttempts": 10,
+                "JitterStrategy": "FULL",
+            }
+        )
         return self
 
     def dynamo_db(self, table_name, primary_key, values):
@@ -919,6 +1130,26 @@ def dynamo_db(self, table_name, primary_key, values):
         return self
 
 
+class Pass(object):
+    def __init__(self, name):
+        self.name = name
+        tree = lambda: defaultdict(tree)
+        self.payload = tree()
+        self.payload["Type"] = "Pass"
+
+    def end(self):
+        self.payload["End"] = True
+        return self
+
+    def parameter(self, name, value):
+        self.payload["Parameters"][name] = value
+        return self
+
+    def output_path(self, output_path):
+        self.payload["OutputPath"] = output_path
+        return self
+
+
 class Parallel(object):
     def __init__(self, name):
         self.name = name
@@ -980,3 +1211,37 @@ def output_path(self, output_path):
     def result_path(self, result_path):
         self.payload["ResultPath"] = result_path
         return self
+
+    def item_reader(self, item_reader):
+        self.payload["ItemReader"] = item_reader.payload
+        return self
+
+    def result_writer(self, bucket, prefix):
+        if bucket is not None and prefix is not None:
+            self.payload["ResultWriter"] = {
+                "Resource": "arn:aws:states:::s3:putObject",
+                "Parameters": {
+                    "Bucket": bucket,
+                    "Prefix": prefix,
+                },
+            }
+        return self
+
+
+class JSONItemReader(object):
+    def __init__(self):
+        tree = lambda: defaultdict(tree)
+        self.payload = tree()
+        self.payload["ReaderConfig"] = {"InputType": "JSON", "MaxItems": 1}
+
+    def resource(self, resource):
+        self.payload["Resource"] = resource
+        return self
+
+    def parameter(self, name, value):
+        self.payload["Parameters"][name] = value
+        return self
+
+    def output_path(self, output_path):
+        self.payload["OutputPath"] = output_path
+        return self
diff --git a/metaflow/plugins/aws/step_functions/step_functions_cli.py b/metaflow/plugins/aws/step_functions/step_functions_cli.py
index d11eea58966..1a6f4a56561 100644
--- a/metaflow/plugins/aws/step_functions/step_functions_cli.py
+++ b/metaflow/plugins/aws/step_functions/step_functions_cli.py
@@ -1,32 +1,36 @@
 import base64
-from metaflow._vendor import click
-from hashlib import sha1
 import json
 import re
-from distutils.version import LooseVersion
+from hashlib import sha1
 
-from metaflow import current, decorators, parameters, JSONType
+from metaflow import JSONType, current, decorators, parameters
+from metaflow._vendor import click
+from metaflow.exception import MetaflowException, MetaflowInternalError
 from metaflow.metaflow_config import (
+    FEAT_ALWAYS_UPLOAD_CODE_PACKAGE,
     SERVICE_VERSION_CHECK,
     SFN_STATE_MACHINE_PREFIX,
     UI_URL,
 )
-from metaflow.exception import MetaflowException, MetaflowInternalError
 from metaflow.package import MetaflowPackage
 from metaflow.plugins.aws.batch.batch_decorator import BatchDecorator
 from metaflow.tagging_util import validate_tags
-from metaflow.util import get_username, to_bytes, to_unicode
+from metaflow.util import get_username, to_bytes, to_unicode, version_parse
 
+from .production_token import load_token, new_token, store_token
 from .step_functions import StepFunctions
-from .production_token import load_token, store_token, new_token
 
-VALID_NAME = re.compile("[^a-zA-Z0-9_\-\.]")
+VALID_NAME = re.compile(r"[^a-zA-Z0-9_\-\.]")
 
 
 class IncorrectProductionToken(MetaflowException):
     headline = "Incorrect production token"
 
 
+class RunIdMismatch(MetaflowException):
+    headline = "Run ID mismatch"
+
+
 class IncorrectMetadataServiceVersion(MetaflowException):
     headline = "Incorrect version for metaflow service"
 
@@ -121,6 +125,20 @@ def step_functions(obj, name=None):
     help="Log AWS Step Functions execution history to AWS CloudWatch "
     "Logs log group.",
 )
+@click.option(
+    "--use-distributed-map/--no-use-distributed-map",
+    is_flag=True,
+    help="Use AWS Step Functions Distributed Map instead of Inline Map for "
+    "defining foreach tasks in Amazon State Language.",
+)
+@click.option(
+    "--deployer-attribute-file",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Write the workflow name to the file specified. Used internally for Metaflow's Deployer API.",
+    hidden=True,
+)
 @click.pass_obj
 def create(
     obj,
@@ -133,9 +151,29 @@ def create(
     max_workers=None,
     workflow_timeout=None,
     log_execution_history=False,
+    use_distributed_map=False,
+    deployer_attribute_file=None,
 ):
+    for node in obj.graph:
+        if any([d.name == "slurm" for d in node.decorators]):
+            raise MetaflowException(
+                "Step *%s* is marked for execution on Slurm with AWS Step Functions which isn't currently supported."
+                % node.name
+            )
+
     validate_tags(tags)
 
+    if deployer_attribute_file:
+        with open(deployer_attribute_file, "w") as f:
+            json.dump(
+                {
+                    "name": obj.state_machine_name,
+                    "flow_name": obj.flow.name,
+                    "metadata": obj.metadata.metadata_str(),
+                },
+                f,
+            )
+
     obj.echo(
         "Deploying *%s* to AWS Step Functions..." % obj.state_machine_name, bold=True
     )
@@ -162,6 +200,7 @@ def create(
         max_workers,
         workflow_timeout,
         obj.is_project,
+        use_distributed_map,
     )
 
     if only_json:
@@ -192,7 +231,7 @@ def check_metadata_service_version(obj):
     version = metadata.version()
     if version == "local":
         return
-    elif version is not None and LooseVersion(version) >= LooseVersion("2.0.2"):
+    elif version is not None and version_parse(version) >= version_parse("2.0.2"):
         # Metaflow metadata service needs to be at least at version 2.0.2
         return
     else:
@@ -220,8 +259,10 @@ def check_metadata_service_version(obj):
 
 
 def resolve_state_machine_name(obj, name):
-    def attach_prefix(name):
-        if SFN_STATE_MACHINE_PREFIX is not None:
+    def attach_prefix(name: str):
+        if SFN_STATE_MACHINE_PREFIX is not None and (
+            not name.startswith(SFN_STATE_MACHINE_PREFIX)
+        ):
             return SFN_STATE_MACHINE_PREFIX + "_" + name
         return name
 
@@ -270,28 +311,48 @@ def attach_prefix(name):
 
 
 def make_flow(
-    obj, token, name, tags, namespace, max_workers, workflow_timeout, is_project
+    obj,
+    token,
+    name,
+    tags,
+    namespace,
+    max_workers,
+    workflow_timeout,
+    is_project,
+    use_distributed_map,
 ):
     if obj.flow_datastore.TYPE != "s3":
         raise MetaflowException("AWS Step Functions requires --datastore=s3.")
 
     # Attach AWS Batch decorator to the flow
     decorators._attach_decorators(obj.flow, [BatchDecorator.name])
+    decorators._init(obj.flow)
     decorators._init_step_decorators(
         obj.flow, obj.graph, obj.environment, obj.flow_datastore, obj.logger
     )
+    obj.graph = obj.flow._graph
 
     obj.package = MetaflowPackage(
-        obj.flow, obj.environment, obj.echo, obj.package_suffixes
+        obj.flow,
+        obj.environment,
+        obj.echo,
+        suffixes=obj.package_suffixes,
+        flow_datastore=obj.flow_datastore if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE else None,
     )
-    package_url, package_sha = obj.flow_datastore.save_data(
-        [obj.package.blob], len_hint=1
-    )[0]
+    # This blocks until the package is created
+    if FEAT_ALWAYS_UPLOAD_CODE_PACKAGE:
+        package_url = obj.package.package_url()
+        package_sha = obj.package.package_sha()
+    else:
+        package_url, package_sha = obj.flow_datastore.save_data(
+            [obj.package.blob], len_hint=1
+        )[0]
 
     return StepFunctions(
         name,
         obj.graph,
         obj.flow,
+        obj.package.package_metadata,
         package_sha,
         package_url,
         token,
@@ -306,6 +367,7 @@ def make_flow(
         username=get_username(),
         workflow_timeout=workflow_timeout,
         is_project=is_project,
+        use_distributed_map=use_distributed_map,
     )
 
 
@@ -420,8 +482,16 @@ def resolve_token(
     type=str,
     help="Write the ID of this run to the file specified.",
 )
+@click.option(
+    "--deployer-attribute-file",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Write the metadata and pathspec of this run to the file specified.\nUsed internally for Metaflow's Deployer API.",
+    hidden=True,
+)
 @click.pass_obj
-def trigger(obj, run_id_file=None, **kwargs):
+def trigger(obj, run_id_file=None, deployer_attribute_file=None, **kwargs):
     def _convert_value(param):
         # Swap `-` with `_` in parameter name to match click's behavior
         val = kwargs.get(param.name.replace("-", "_").lower())
@@ -446,6 +516,17 @@ def _convert_value(param):
         with open(run_id_file, "w") as f:
             f.write(str(run_id))
 
+    if deployer_attribute_file:
+        with open(deployer_attribute_file, "w") as f:
+            json.dump(
+                {
+                    "name": obj.state_machine_name,
+                    "metadata": obj.metadata.metadata_str(),
+                    "pathspec": "/".join((obj.flow.name, run_id)),
+                },
+                f,
+            )
+
     obj.echo(
         "Workflow *{name}* triggered on AWS Step Functions "
         "(run-id *{run_id}*).".format(name=obj.state_machine_name, run_id=run_id),
@@ -555,3 +636,179 @@ def list_runs(
                 "No executions for *%s* found on AWS Step Functions."
                 % (obj.state_machine_name)
             )
+
+
+@step_functions.command(help="Delete a workflow")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the deletion with a production token",
+)
+@click.pass_obj
+def delete(obj, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on AWS Step "
+            "Functions which was deployed by the user "
+            "*%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To delete this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you "
+            "have it, call this command:"
+        )
+        obj.echo("    step-functions delete --authorize MY_TOKEN", fg="green")
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more '
+            "information about production tokens."
+        )
+
+    validate_token(
+        obj.state_machine_name, obj.token_prefix, authorize, _token_instructions
+    )
+
+    obj.echo(
+        "Deleting AWS Step Functions state machine *{name}*...".format(
+            name=obj.state_machine_name
+        ),
+        bold=True,
+    )
+    schedule_deleted, sfn_deleted = StepFunctions.delete(obj.state_machine_name)
+
+    if schedule_deleted:
+        obj.echo(
+            "Deleting Amazon EventBridge rule *{name}* as well...".format(
+                name=obj.state_machine_name
+            ),
+            bold=True,
+        )
+    if sfn_deleted:
+        obj.echo(
+            "Deleting the AWS Step Functions state machine may take a while. "
+            "Deploying the flow again to AWS Step Functions while the delete is in-flight will fail."
+        )
+        obj.echo(
+            "In-flight executions will not be affected. "
+            "If necessary, terminate them manually."
+        )
+
+
+@step_functions.command(help="Terminate flow execution on Step Functions.")
+@click.option(
+    "--authorize",
+    default=None,
+    type=str,
+    help="Authorize the termination with a production token",
+)
+@click.argument("run-id", required=True, type=str)
+@click.pass_obj
+def terminate(obj, run_id, authorize=None):
+    def _token_instructions(flow_name, prev_user):
+        obj.echo(
+            "There is an existing version of *%s* on AWS Step Functions which was "
+            "deployed by the user *%s*." % (flow_name, prev_user)
+        )
+        obj.echo(
+            "To terminate this flow, you need to use the same production token that they used."
+        )
+        obj.echo(
+            "Please reach out to them to get the token. Once you have it, call "
+            "this command:"
+        )
+        obj.echo("    step-functions terminate --authorize MY_TOKEN RUN_ID", fg="green")
+        obj.echo(
+            'See "Organizing Results" at docs.metaflow.org for more information '
+            "about production tokens."
+        )
+
+    validate_run_id(
+        obj.state_machine_name, obj.token_prefix, authorize, run_id, _token_instructions
+    )
+
+    # Trim prefix from run_id
+    name = run_id[4:]
+    obj.echo(
+        "Terminating run *{run_id}* for {flow_name} ...".format(
+            run_id=run_id, flow_name=obj.flow.name
+        ),
+        bold=True,
+    )
+
+    terminated = StepFunctions.terminate(obj.state_machine_name, name)
+    if terminated:
+        obj.echo("\nRun terminated at %s." % terminated.get("stopDate"))
+
+
+def validate_run_id(
+    state_machine_name, token_prefix, authorize, run_id, instructions_fn=None
+):
+    if not run_id.startswith("sfn-"):
+        raise RunIdMismatch(
+            "Run IDs for flows executed through AWS Step Functions begin with 'sfn-'"
+        )
+
+    name = run_id[4:]
+    execution = StepFunctions.get_execution(state_machine_name, name)
+    if execution is None:
+        raise MetaflowException(
+            "Could not find the execution *%s* (in RUNNING state) for the state machine *%s* on AWS Step Functions"
+            % (name, state_machine_name)
+        )
+
+    _, owner, token, _ = execution
+
+    if authorize is None:
+        authorize = load_token(token_prefix)
+    elif authorize.startswith("production:"):
+        authorize = authorize[11:]
+
+    if owner != get_username() and authorize != token:
+        if instructions_fn:
+            instructions_fn(flow_name=name, prev_user=owner)
+        raise IncorrectProductionToken("Try again with the correct production token.")
+
+    return True
+
+
+def validate_token(name, token_prefix, authorize, instruction_fn=None):
+    """
+    Validate that the production token matches that of the deployed flow.
+
+    In case both the user and token do not match, raises an error.
+    Optionally outputs instructions on token usage via the provided instruction_fn(flow_name, prev_user)
+    """
+    # TODO: Unify this with the existing resolve_token implementation.
+
+    # 1) retrieve the previous deployment, if one exists
+    workflow = StepFunctions.get_existing_deployment(name)
+    if workflow is None:
+        prev_token = None
+    else:
+        prev_user, prev_token = workflow
+
+    # 2) authorize this deployment
+    if prev_token is not None:
+        if authorize is None:
+            authorize = load_token(token_prefix)
+        elif authorize.startswith("production:"):
+            authorize = authorize[11:]
+
+        # we allow the user who deployed the previous version to re-deploy,
+        # even if they don't have the token
+        # NOTE: The username is visible in multiple sources, and can be set by the user.
+        # Should we consider being stricter here?
+        if prev_user != get_username() and authorize != prev_token:
+            if instruction_fn:
+                instruction_fn(flow_name=name, prev_user=prev_user)
+            raise IncorrectProductionToken(
+                "Try again with the correct production token."
+            )
+
+    # 3) all validations passed, store the previous token for future use
+    token = prev_token
+
+    store_token(token_prefix, token)
+    return True
diff --git a/metaflow/plugins/aws/step_functions/step_functions_client.py b/metaflow/plugins/aws/step_functions/step_functions_client.py
index c42bb0a8907..ceec8e4d0ce 100644
--- a/metaflow/plugins/aws/step_functions/step_functions_client.py
+++ b/metaflow/plugins/aws/step_functions/step_functions_client.py
@@ -81,9 +81,14 @@ def list_executions(self, state_machine_arn, states):
             for execution in page["executions"]
         )
 
-    def terminate_execution(self, state_machine_arn, execution_arn):
-        # TODO
-        pass
+    def terminate_execution(self, execution_arn):
+        try:
+            response = self._client.stop_execution(executionArn=execution_arn)
+            return response
+        except self._client.exceptions.ExecutionDoesNotExist:
+            raise ValueError("The execution ARN %s does not exist." % execution_arn)
+        except Exception as e:
+            raise e
 
     def _default_logging_configuration(self, log_execution_history):
         if log_execution_history:
@@ -117,3 +122,11 @@ def get_state_machine_arn(self, name):
             if state_machine:
                 return state_machine["stateMachineArn"]
             return None
+
+    def delete(self, name):
+        state_machine_arn = self.get_state_machine_arn(name)
+        if state_machine_arn is None:
+            return None
+        return self._client.delete_state_machine(
+            stateMachineArn=state_machine_arn,
+        )
diff --git a/metaflow/plugins/aws/step_functions/step_functions_decorator.py b/metaflow/plugins/aws/step_functions/step_functions_decorator.py
index ba71c0af8df..43c2de81dab 100644
--- a/metaflow/plugins/aws/step_functions/step_functions_decorator.py
+++ b/metaflow/plugins/aws/step_functions/step_functions_decorator.py
@@ -1,9 +1,8 @@
 import os
-import json
 import time
 
 from metaflow.decorators import StepDecorator
-from metaflow.metadata import MetaDatum
+from metaflow.metadata_provider import MetaDatum
 
 from .dynamo_db_client import DynamoDbClient
 
diff --git a/metaflow/plugins/aws/step_functions/step_functions_deployer.py b/metaflow/plugins/aws/step_functions/step_functions_deployer.py
new file mode 100644
index 00000000000..6e2f1d72151
--- /dev/null
+++ b/metaflow/plugins/aws/step_functions/step_functions_deployer.py
@@ -0,0 +1,94 @@
+from typing import Any, ClassVar, Dict, Optional, TYPE_CHECKING, Type
+
+from metaflow.runner.deployer_impl import DeployerImpl
+
+if TYPE_CHECKING:
+    import metaflow.plugins.aws.step_functions.step_functions_deployer_objects
+
+
+class StepFunctionsDeployer(DeployerImpl):
+    """
+    Deployer implementation for AWS Step Functions.
+
+    Parameters
+    ----------
+    name : str, optional, default None
+        State Machine name. The flow name is used instead if this option is not specified.
+    """
+
+    TYPE: ClassVar[Optional[str]] = "step-functions"
+
+    def __init__(self, deployer_kwargs: Dict[str, str], **kwargs):
+        """
+        Initialize the StepFunctionsDeployer.
+
+        Parameters
+        ----------
+        deployer_kwargs : Dict[str, str]
+            The deployer-specific keyword arguments.
+        **kwargs : Any
+            Additional arguments to pass to the superclass constructor.
+        """
+        self._deployer_kwargs = deployer_kwargs
+        super().__init__(**kwargs)
+
+    @property
+    def deployer_kwargs(self) -> Dict[str, Any]:
+        return self._deployer_kwargs
+
+    @staticmethod
+    def deployed_flow_type() -> (
+        Type[
+            "metaflow.plugins.aws.step_functions.step_functions_deployer_objects.StepFunctionsDeployedFlow"
+        ]
+    ):
+        from .step_functions_deployer_objects import StepFunctionsDeployedFlow
+
+        return StepFunctionsDeployedFlow
+
+    def create(
+        self, **kwargs
+    ) -> "metaflow.plugins.aws.step_functions.step_functions_deployer_objects.StepFunctionsDeployedFlow":
+        """
+        Create a new AWS Step Functions State Machine deployment.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize using this production token. Required when re-deploying an existing flow
+            for the first time. The token is cached in METAFLOW_HOME.
+        generate_new_token : bool, optional, default False
+            Generate a new production token for this flow. Moves the production flow to a new namespace.
+        given_token : str, optional, default None
+            Use the given production token for this flow. Moves the production flow to the given namespace.
+        tags : List[str], optional, default None
+            Annotate all objects produced by AWS Step Functions runs with these tags.
+        user_namespace : str, optional, default None
+            Change the namespace from the default (production token) to the given tag.
+        only_json : bool, optional, default False
+            Only print out JSON sent to AWS Step Functions without deploying anything.
+        max_workers : int, optional, default 100
+            Maximum number of parallel processes.
+        workflow_timeout : int, optional, default None
+            Workflow timeout in seconds.
+        log_execution_history : bool, optional, default False
+            Log AWS Step Functions execution history to AWS CloudWatch Logs log group.
+        use_distributed_map : bool, optional, default False
+            Use AWS Step Functions Distributed Map instead of Inline Map for defining foreach
+            tasks in Amazon State Language.
+        deployer_attribute_file : str, optional, default None
+            Write the workflow name to the specified file. Used internally for Metaflow's Deployer API.
+
+        Returns
+        -------
+        StepFunctionsDeployedFlow
+            The Flow deployed to AWS Step Functions.
+        """
+        from .step_functions_deployer_objects import StepFunctionsDeployedFlow
+
+        return self._create(StepFunctionsDeployedFlow, **kwargs)
+
+
+_addl_stubgen_modules = [
+    "metaflow.plugins.aws.step_functions.step_functions_deployer_objects"
+]
diff --git a/metaflow/plugins/aws/step_functions/step_functions_deployer_objects.py b/metaflow/plugins/aws/step_functions/step_functions_deployer_objects.py
new file mode 100644
index 00000000000..e6cf68078e5
--- /dev/null
+++ b/metaflow/plugins/aws/step_functions/step_functions_deployer_objects.py
@@ -0,0 +1,234 @@
+import sys
+import json
+from typing import ClassVar, Optional, List
+
+from metaflow.plugins.aws.step_functions.step_functions import StepFunctions
+from metaflow.runner.deployer import DeployedFlow, TriggeredRun
+
+from metaflow.runner.utils import get_lower_level_group, handle_timeout, temporary_fifo
+
+
+class StepFunctionsTriggeredRun(TriggeredRun):
+    """
+    A class representing a triggered AWS Step Functions state machine execution.
+    """
+
+    def terminate(self, **kwargs) -> bool:
+        """
+        Terminate the running state machine execution.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the termination with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        _, run_id = self.pathspec.split("/")
+
+        # every subclass needs to have `self.deployer_kwargs`
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).terminate(run_id=run_id, **kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+
+class StepFunctionsDeployedFlow(DeployedFlow):
+    """
+    A class representing a deployed AWS Step Functions state machine.
+    """
+
+    TYPE: ClassVar[Optional[str]] = "step-functions"
+
+    @classmethod
+    def from_deployment(cls, identifier: str, metadata: Optional[str] = None):
+        """
+        This method is not currently implemented for Step Functions.
+
+        Raises
+        ------
+        NotImplementedError
+            This method is not implemented for Step Functions.
+        """
+        raise NotImplementedError(
+            "from_deployment is not implemented for StepFunctions"
+        )
+
+    @property
+    def production_token(self: DeployedFlow) -> Optional[str]:
+        """
+        Get the production token for the deployed flow.
+
+        Returns
+        -------
+        str, optional
+            The production token, None if it cannot be retrieved.
+        """
+        try:
+            _, production_token = StepFunctions.get_existing_deployment(
+                self.deployer.name
+            )
+            return production_token
+        except TypeError:
+            return None
+
+    def list_runs(
+        self, states: Optional[List[str]] = None
+    ) -> List[StepFunctionsTriggeredRun]:
+        """
+        List runs of the deployed flow.
+
+        Parameters
+        ----------
+        states : List[str], optional, default None
+            A list of states to filter the runs by. Allowed values are:
+            RUNNING, SUCCEEDED, FAILED, TIMED_OUT, ABORTED.
+            If not provided, all states will be considered.
+
+        Returns
+        -------
+        List[StepFunctionsTriggeredRun]
+            A list of TriggeredRun objects representing the runs of the deployed flow.
+
+        Raises
+        ------
+        ValueError
+            If any of the provided states are invalid or if there are duplicate states.
+        """
+        VALID_STATES = {"RUNNING", "SUCCEEDED", "FAILED", "TIMED_OUT", "ABORTED"}
+
+        if states is None:
+            states = []
+
+        unique_states = set(states)
+        if not unique_states.issubset(VALID_STATES):
+            invalid_states = unique_states - VALID_STATES
+            raise ValueError(
+                f"Invalid states found: {invalid_states}. Valid states are: {VALID_STATES}"
+            )
+
+        if len(states) != len(unique_states):
+            raise ValueError("Duplicate states are not allowed")
+
+        triggered_runs = []
+        executions = StepFunctions.list(self.deployer.name, states)
+
+        for e in executions:
+            run_id = "sfn-%s" % e["name"]
+            tr = StepFunctionsTriggeredRun(
+                deployer=self.deployer,
+                content=json.dumps(
+                    {
+                        "metadata": self.deployer.metadata,
+                        "pathspec": "/".join((self.deployer.flow_name, run_id)),
+                        "name": run_id,
+                    }
+                ),
+            )
+            triggered_runs.append(tr)
+
+        return triggered_runs
+
+    def delete(self, **kwargs) -> bool:
+        """
+        Delete the deployed state machine.
+
+        Parameters
+        ----------
+        authorize : str, optional, default None
+            Authorize the deletion with a production token.
+
+        Returns
+        -------
+        bool
+            True if the command was successful, False otherwise.
+        """
+        command = get_lower_level_group(
+            self.deployer.api,
+            self.deployer.top_level_kwargs,
+            self.deployer.TYPE,
+            self.deployer.deployer_kwargs,
+        ).delete(**kwargs)
+
+        pid = self.deployer.spm.run_command(
+            [sys.executable, *command],
+            env=self.deployer.env_vars,
+            cwd=self.deployer.cwd,
+            show_output=self.deployer.show_output,
+        )
+
+        command_obj = self.deployer.spm.get(pid)
+        command_obj.sync_wait()
+        return command_obj.process.returncode == 0
+
+    def trigger(self, **kwargs) -> StepFunctionsTriggeredRun:
+        """
+        Trigger a new run for the deployed flow.
+
+        Parameters
+        ----------
+        **kwargs : Any
+            Additional arguments to pass to the trigger command,
+            `Parameters` in particular
+
+        Returns
+        -------
+        StepFunctionsTriggeredRun
+            The triggered run instance.
+
+        Raises
+        ------
+        Exception
+            If there is an error during the trigger process.
+        """
+        with temporary_fifo() as (attribute_file_path, attribute_file_fd):
+            # every subclass needs to have `self.deployer_kwargs`
+            command = get_lower_level_group(
+                self.deployer.api,
+                self.deployer.top_level_kwargs,
+                self.deployer.TYPE,
+                self.deployer.deployer_kwargs,
+            ).trigger(deployer_attribute_file=attribute_file_path, **kwargs)
+
+            pid = self.deployer.spm.run_command(
+                [sys.executable, *command],
+                env=self.deployer.env_vars,
+                cwd=self.deployer.cwd,
+                show_output=self.deployer.show_output,
+            )
+
+            command_obj = self.deployer.spm.get(pid)
+            content = handle_timeout(
+                attribute_file_fd, command_obj, self.deployer.file_read_timeout
+            )
+
+            command_obj.sync_wait()
+            if command_obj.process.returncode == 0:
+                return StepFunctionsTriggeredRun(
+                    deployer=self.deployer, content=content
+                )
+
+        raise Exception(
+            "Error triggering %s on %s for %s"
+            % (
+                self.deployer.name,
+                self.deployer.TYPE,
+                self.deployer.flow_file,
+            )
+        )
diff --git a/metaflow/plugins/azure/__init__.py b/metaflow/plugins/azure/__init__.py
index e69de29bb2d..422dde8e7c1 100644
--- a/metaflow/plugins/azure/__init__.py
+++ b/metaflow/plugins/azure/__init__.py
@@ -0,0 +1,3 @@
+from .azure_credential import (
+    create_cacheable_azure_credential as create_azure_credential,
+)
diff --git a/metaflow/plugins/azure/azure_credential.py b/metaflow/plugins/azure/azure_credential.py
new file mode 100644
index 00000000000..e0bccb6423d
--- /dev/null
+++ b/metaflow/plugins/azure/azure_credential.py
@@ -0,0 +1,53 @@
+class AzureDefaultClientProvider(object):
+    name = "azure-default"
+
+    @staticmethod
+    def create_cacheable_azure_credential(*args, **kwargs):
+        """azure.identity.DefaultAzureCredential is not readily cacheable in a dictionary
+        because it does not have a content based hash and equality implementations.
+
+        We implement a subclass CacheableDefaultAzureCredential to add them.
+
+        We need this because credentials will be part of the cache key in _ClientCache.
+        """
+        from azure.identity import DefaultAzureCredential
+
+        class CacheableDefaultAzureCredential(DefaultAzureCredential):
+            def __init__(self, *args, **kwargs):
+                super(CacheableDefaultAzureCredential, self).__init__(*args, **kwargs)
+                # Just hashing all the kwargs works because they are all individually
+                # hashable as of 7/15/2022.
+                #
+                # What if Azure adds unhashable things to kwargs?
+                # - We will have CI to catch this (it will always install the latest Azure SDKs)
+                # - In Metaflow usage today we never specify any kwargs anyway. (see last line
+                #   of the outer function.
+                self._hash_code = hash((args, tuple(sorted(kwargs.items()))))
+
+            def __hash__(self):
+                return self._hash_code
+
+            def __eq__(self, other):
+                return hash(self) == hash(other)
+
+        return CacheableDefaultAzureCredential(*args, **kwargs)
+
+
+cached_provider_class = None
+
+
+def create_cacheable_azure_credential():
+    global cached_provider_class
+    if cached_provider_class is None:
+        from metaflow.metaflow_config import DEFAULT_AZURE_CLIENT_PROVIDER
+        from metaflow.plugins import AZURE_CLIENT_PROVIDERS
+
+        for p in AZURE_CLIENT_PROVIDERS:
+            if p.name == DEFAULT_AZURE_CLIENT_PROVIDER:
+                cached_provider_class = p
+                break
+        else:
+            raise ValueError(
+                "Cannot find Azure Client provider %s" % DEFAULT_AZURE_CLIENT_PROVIDER
+            )
+    return cached_provider_class.create_cacheable_azure_credential()
diff --git a/metaflow/plugins/azure/azure_exceptions.py b/metaflow/plugins/azure/azure_exceptions.py
index f4f500b1268..1a915f2c17d 100644
--- a/metaflow/plugins/azure/azure_exceptions.py
+++ b/metaflow/plugins/azure/azure_exceptions.py
@@ -10,4 +10,4 @@ class MetaflowAzureResourceError(MetaflowException):
 
 
 class MetaflowAzurePackageError(MetaflowException):
-    headline = "Missing required packages azure-identity and azure-storage-blob"
+    headline = "Missing required packages 'azure-identity' and 'azure-storage-blob' and 'azure-keyvault-secrets'"
diff --git a/metaflow/plugins/azure/azure_secret_manager_secrets_provider.py b/metaflow/plugins/azure/azure_secret_manager_secrets_provider.py
new file mode 100644
index 00000000000..d1567cbbd77
--- /dev/null
+++ b/metaflow/plugins/azure/azure_secret_manager_secrets_provider.py
@@ -0,0 +1,240 @@
+from metaflow.plugins.secrets import SecretsProvider
+import re
+import base64
+import codecs
+from urllib.parse import urlparse
+from metaflow.exception import MetaflowException
+import sys
+from metaflow.metaflow_config import AZURE_KEY_VAULT_PREFIX
+from metaflow.plugins.azure.azure_credential import (
+    create_cacheable_azure_credential,
+)
+
+
+class MetaflowAzureKeyVaultBadVault(MetaflowException):
+    """Raised when the secretid is fully qualified but does not have the right key vault domain"""
+
+
+class MetaflowAzureKeyVaultBadSecretType(MetaflowException):
+    """Raised when the secret type is anything except secrets"""
+
+
+class MetaflowAzureKeyVaultBadSecretPath(MetaflowException):
+    """Raised when the secret path does not match to expected length"""
+
+
+class MetaflowAzureKeyVaultBadSecretName(MetaflowException):
+    """Raised when the secret name does not match expected pattern"""
+
+
+class MetaflowAzureKeyVaultBadSecretVersion(MetaflowException):
+    """Raised when the secret version does not match expected pattern"""
+
+
+class MetaflowAzureKeyVaultBadSecret(MetaflowException):
+    """Raised when the secret does not match supported patterns in Metaflow"""
+
+
+class AzureKeyVaultSecretsProvider(SecretsProvider):
+    TYPE = "az-key-vault"
+    key_vault_domains = [
+        ".vault.azure.net",
+        ".vault.azure.cn",
+        ".vault.usgovcloudapi.net",
+        ".vault.microsoftazure.de",
+    ]
+    supported_vault_object_types = ["secrets"]
+
+    # https://learn.microsoft.com/en-us/azure/key-vault/general/about-keys-secrets-certificates has details on vault name structure
+    # Vault name and Managed HSM pool name must be a 3-24 character string, containing only 0-9, a-z, A-Z, and not consecutive -.
+    def _is_valid_vault_name(self, vault_name):
+        vault_name_pattern = r"^(?!.*--)[a-zA-Z0-9-]{3,24}$"
+        return re.match(vault_name_pattern, vault_name) is not None
+
+    # The type of the object can be, "keys", "secrets", or "certificates".
+    # Currently only secrets will be supported
+    def _is_valid_object_type(self, secret_type):
+        for type in self.supported_vault_object_types:
+            if secret_type == type:
+                return True
+        return False
+
+    # The secret name must be a 1-127 character string, starting with a letter and containing only 0-9, a-z, A-Z, and -.
+    def _is_valid_secret_name(self, secret_name):
+        secret_name_pattern = r"^[a-zA-Z][a-zA-Z0-9-]{0,126}$"
+        return re.match(secret_name_pattern, secret_name) is not None
+
+    # An object-version is a system-generated, 32 character string identifier that is optionally used to address a unique version of an object.
+    def _is_valid_object_version(self, secret_version):
+        object_version_pattern = r"^[a-zA-Z0-9]{32}$"
+        return re.match(object_version_pattern, secret_version) is not None
+
+    # This function will check if the secret_id is fully qualified url. It will return True iff the secret_id is of the form:
+    # https://myvault.vault.azure.net/secrets/mysecret/ec96f02080254f109c51a1f14cdb1931 OR
+    # https://myvault.vault.azure.net/secrets/mysecret/
+    # validating the above as per recommendations in https://devblogs.microsoft.com/azure-sdk/guidance-for-applications-using-the-key-vault-libraries/
+    def _is_secret_id_fully_qualified_url(self, secret_id):
+        # if the secret_id is None/empty/does not start with https then return false
+        if secret_id is None or secret_id == "" or not secret_id.startswith("https://"):
+            return False
+        try:
+            parsed_vault_url = urlparse(secret_id)
+        except ValueError:
+            print("invalid vault url", file=sys.stderr)
+            return False
+        hostname = parsed_vault_url.netloc
+
+        k_v_domain_found = False
+        actual_k_v_domain = ""
+        for k_v_domain in self.key_vault_domains:
+            if k_v_domain in hostname:
+                k_v_domain_found = True
+                actual_k_v_domain = k_v_domain
+                break
+        if not k_v_domain_found:
+            # the secret_id started with https:// however the key_vault_domains
+            # were not present in the secret_id which means
+            raise MetaflowAzureKeyVaultBadVault("bad key vault domain %s" % secret_id)
+
+        # given the secret_id seems to have a valid key vault domain
+        # lets verify that the vault name corresponds to its regex.
+        vault_name = hostname[: -len(actual_k_v_domain)]
+        # verify the vault name pattern
+        if not self._is_valid_vault_name(vault_name):
+            raise MetaflowAzureKeyVaultBadVault("bad key vault name %s" % vault_name)
+
+        path_parts = parsed_vault_url.path.strip("/").split("/")
+        total_path_parts = len(path_parts)
+        if total_path_parts < 2 or total_path_parts > 3:
+            raise MetaflowAzureKeyVaultBadSecretPath(
+                "bad secret uri path %s" % path_parts
+            )
+
+        object_type = path_parts[0]
+        if not self._is_valid_object_type(object_type):
+            raise MetaflowAzureKeyVaultBadSecretType("bad secret type %s" % object_type)
+
+        secret_name = path_parts[1]
+        if not self._is_valid_secret_name(secret_name=secret_name):
+            raise MetaflowAzureKeyVaultBadSecretName("bad secret name %s" % secret_name)
+
+        if total_path_parts == 3:
+            if not self._is_valid_object_version(path_parts[2]):
+                raise MetaflowAzureKeyVaultBadSecretVersion(
+                    "bad secret version %s" % path_parts[2]
+                )
+
+        return True
+
+    # This function will validate the correctness of the partial secret id.
+    # It will attempt to construct the fully qualified secret URL internally and
+    # call the _is_secret_id_fully_qualified_url to check validity
+    def _is_partial_secret_valid(self, secret_id):
+        secret_parts = secret_id.strip("/").split("/")
+        total_secret_parts = len(secret_parts)
+        if total_secret_parts < 1 or total_secret_parts > 2:
+            return False
+
+        # since the secret_id is supposedly a partial id, the AZURE_KEY_VAULT_PREFIX
+        # must be set.
+        if not AZURE_KEY_VAULT_PREFIX:
+            raise ValueError(
+                "cannot use simple secret id without setting METAFLOW_AZURE_KEY_VAULT_PREFIX. %s"
+                % AZURE_KEY_VAULT_PREFIX
+            )
+        domain = AZURE_KEY_VAULT_PREFIX.rstrip("/")
+        full_secret = "%s/secrets/%s" % (domain, secret_id)
+        if not self._is_secret_id_fully_qualified_url(full_secret):
+            return False
+
+        return True
+
+    def _sanitize_key_as_env_var(self, key):
+        """
+        Sanitize a key as an environment variable name.
+        This is purely a convenience trade-off to cover common cases well, vs. introducing
+        ambiguities (e.g. did the final '_' come from '.', or '-' or is original?).
+
+        1/27/2023(jackie):
+
+        We start with few rules and should *sparingly* add more over time.
+        Also, it's TBD whether all possible providers will share the same sanitization logic.
+        Therefore we will keep this function private for now
+        """
+        return key.replace("-", "_").replace(".", "_").replace("/", "_")
+
+    def get_secret_as_dict(self, secret_id, options={}, role=None):
+        # https://learn.microsoft.com/en-us/azure/app-service/app-service-key-vault-references?tabs=azure-cli has a lot of details on
+        # the patterns used in key vault
+        # Vault names and Managed HSM pool names are selected by the user and are globally unique.
+        # Vault name and Managed HSM pool name must be a 3-24 character string, containing only 0-9, a-z, A-Z, and not consecutive -.
+        # object-type	The type of the object. As of 05/08/24 only "secrets", are supported
+        # object-name	An object-name is a user provided name for and must be unique within a key vault. The name must be a 1-127 character string, starting with a letter and containing only 0-9, a-z, A-Z, and -.
+        # object-version	An object-version is a system-generated, 32 character string identifier that is optionally used to address a unique version of an object.
+
+        # We allow these forms of secret_id:
+        #
+        # 1. Full path like https://<.vault-domain>/secrets//. This is what you
+        # see in Azure portal and is easy to copy paste.
+        #
+        # 2. Full path but without the version like https://<.vault-domain>/secrets/
+        #
+        # 3. Simple string like mysecret. This corresponds to the SecretName.
+        #
+        # 4. Simple string with / suffix like mysecret/123
+
+        # The latter two forms require METAFLOW_AZURE_KEY_VAULT_PREFIX to be set.
+
+        # if the secret_id is None/empty/does not start with https then return false
+        if secret_id is None or secret_id == "":
+            raise MetaflowAzureKeyVaultBadSecret("empty secret id is not supported")
+
+        # check if the passed in secret is a short-form ( #3/#4 in the above comment)
+        if not secret_id.startswith("https://"):
+            # check if the secret_id is of form `secret_name` OR `secret_name/secret_version`
+            if not self._is_partial_secret_valid(secret_id=secret_id):
+                raise MetaflowAzureKeyVaultBadSecret(
+                    "unsupported partial secret %s" % secret_id
+                )
+
+            domain = AZURE_KEY_VAULT_PREFIX.rstrip("/")
+            full_secret = "%s/secrets/%s" % (domain, secret_id)
+
+        # if the secret id is passed as a URL - then check if the url is fully qualified
+        if secret_id.startswith("https://"):
+            if not self._is_secret_id_fully_qualified_url(secret_id=secret_id):
+                raise MetaflowException("unsupported secret %s" % secret_id)
+            full_secret = secret_id
+
+        # at this point I know that the secret URL is good so we can start creating the Secret Client
+        az_credentials = create_cacheable_azure_credential()
+        res = urlparse(full_secret)
+        az_vault_url = "%s://%s" % (
+            res.scheme,
+            res.netloc,
+        )  # https://myvault.vault.azure.net
+        secret_data = res.path.strip("/").split("/")[1:]
+        secret_name = secret_data[0]
+        secret_version = None
+        if len(secret_data) > 1:
+            secret_version = secret_data[1]
+
+        from azure.keyvault.secrets import SecretClient
+
+        client = SecretClient(vault_url=az_vault_url, credential=az_credentials)
+
+        key_vault_secret_val = client.get_secret(
+            name=secret_name, version=secret_version
+        )
+
+        result = {}
+
+        if options.get("env_var_name") is not None:
+            env_var_name = options["env_var_name"]
+            sanitized_key = self._sanitize_key_as_env_var(env_var_name)
+        else:
+            sanitized_key = self._sanitize_key_as_env_var(key_vault_secret_val.name)
+
+        response_payload = key_vault_secret_val.value
+        result[sanitized_key] = response_payload
+        return result
diff --git a/metaflow/plugins/azure/azure_tail.py b/metaflow/plugins/azure/azure_tail.py
index d07fe08e94a..1329e469931 100644
--- a/metaflow/plugins/azure/azure_tail.py
+++ b/metaflow/plugins/azure/azure_tail.py
@@ -70,7 +70,7 @@ def _fill_buf(self):
         if data is None:
             return None
         if data:
-            buf = BytesIO(data)
+            buf = BytesIO(self._tail + data)
             self._pos += len(data)
             self._tail = b""
             return buf
diff --git a/metaflow/plugins/azure/azure_utils.py b/metaflow/plugins/azure/azure_utils.py
index 0f3f465a171..633804d1df7 100644
--- a/metaflow/plugins/azure/azure_utils.py
+++ b/metaflow/plugins/azure/azure_utils.py
@@ -7,6 +7,7 @@
     MetaflowAzurePackageError,
 )
 from metaflow.exception import MetaflowInternalError, MetaflowException
+from metaflow.plugins.azure.azure_credential import create_cacheable_azure_credential
 
 
 def _check_and_init_azure_deps():
@@ -138,38 +139,6 @@ def _inner_func(*args, **kwargs):
     return _inner_func
 
 
-@check_azure_deps
-def create_cacheable_default_azure_credentials(*args, **kwargs):
-    """azure.identity.DefaultAzureCredential is not readily cacheable in a dictionary
-    because it does not have a content based hash and equality implementations.
-
-    We implement a subclass CacheableDefaultAzureCredential to add them.
-
-    We need this because credentials will be part of the cache key in _ClientCache.
-    """
-    from azure.identity import DefaultAzureCredential
-
-    class CacheableDefaultAzureCredential(DefaultAzureCredential):
-        def __init__(self, *args, **kwargs):
-            super(CacheableDefaultAzureCredential, self).__init__(*args, **kwargs)
-            # Just hashing all the kwargs works because they are all individually
-            # hashable as of 7/15/2022.
-            #
-            # What if Azure adds unhashable things to kwargs?
-            # - We will have CI to catch this (it will always install the latest Azure SDKs)
-            # - In Metaflow usage today we never specify any kwargs anyway. (see last line
-            #   of the outer function.
-            self._hash_code = hash((args, tuple(sorted(kwargs.items()))))
-
-        def __hash__(self):
-            return self._hash_code
-
-        def __eq__(self, other):
-            return hash(self) == hash(other)
-
-    return CacheableDefaultAzureCredential(*args, **kwargs)
-
-
 @check_azure_deps
 def create_static_token_credential(token_):
     from azure.core.credentials import TokenCredential
@@ -200,9 +169,7 @@ def __init__(self, token):
         def get_token(self, *_scopes, **_kwargs):
 
             if (self._cached_token.expires_on - time.time()) < 300:
-                from azure.identity import DefaultAzureCredential
-
-                self._credential = DefaultAzureCredential()
+                self._credential = create_cacheable_azure_credential()
             if self._credential:
                 return self._credential.get_token(*_scopes, **_kwargs)
             return self._cached_token
diff --git a/metaflow/plugins/azure/blob_service_client_factory.py b/metaflow/plugins/azure/blob_service_client_factory.py
index 64cd04ebe5d..4897a8cbb05 100644
--- a/metaflow/plugins/azure/blob_service_client_factory.py
+++ b/metaflow/plugins/azure/blob_service_client_factory.py
@@ -1,9 +1,11 @@
 from metaflow.exception import MetaflowException
 from metaflow.metaflow_config import AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
 from metaflow.plugins.azure.azure_utils import (
-    create_cacheable_default_azure_credentials,
     check_azure_deps,
 )
+from metaflow.plugins.azure.azure_credential import (
+    create_cacheable_azure_credential,
+)
 
 import os
 import threading
@@ -125,7 +127,7 @@ def get_azure_blob_service_client(
     blob_service_endpoint = AZURE_STORAGE_BLOB_SERVICE_ENDPOINT
 
     if not credential:
-        credential = create_cacheable_default_azure_credentials()
+        credential = create_cacheable_azure_credential()
         credential_is_cacheable = True
 
     if not credential_is_cacheable:
diff --git a/metaflow/plugins/azure/includefile_support.py b/metaflow/plugins/azure/includefile_support.py
index e1a36b32c56..1db2fd0ed98 100644
--- a/metaflow/plugins/azure/includefile_support.py
+++ b/metaflow/plugins/azure/includefile_support.py
@@ -8,6 +8,8 @@
 
 
 class Azure(object):
+    TYPE = "azure"
+
     @classmethod
     def get_root_from_config(cls, echo, create_on_absent=True):
         from metaflow.metaflow_config import DATATOOLS_AZUREROOT
diff --git a/metaflow/plugins/cards/card_cli.py b/metaflow/plugins/cards/card_cli.py
index 2c0c8017744..9cb8b4bbb9d 100644
--- a/metaflow/plugins/cards/card_cli.py
+++ b/metaflow/plugins/cards/card_cli.py
@@ -1,16 +1,25 @@
 from metaflow.client import Task
-from metaflow import JSONType, namespace
-from metaflow.exception import CommandException
+from metaflow.parameters import JSONTypeClass
+from metaflow import namespace
+from metaflow.util import resolve_identity
+from metaflow.exception import (
+    CommandException,
+    MetaflowNotFound,
+    MetaflowNamespaceMismatch,
+)
 import webbrowser
 import re
 from metaflow._vendor import click
 import os
+import time
 import json
+import uuid
 import signal
 import random
 from contextlib import contextmanager
 from functools import wraps
 from metaflow.exception import MetaflowNamespaceMismatch
+
 from .card_datastore import CardDatastore, NUM_SHORT_HASH_CHARS
 from .exception import (
     CardClassFoundException,
@@ -19,11 +28,18 @@
     CardNotPresentException,
     TaskNotFoundException,
 )
-
+import traceback
+from collections import namedtuple
+from .metadata import _save_metadata
 from .card_resolver import resolve_paths_from_task, resumed_info
 
 id_func = id
 
+CardRenderInfo = namedtuple(
+    "CardRenderInfo",
+    ["mode", "is_implemented", "data", "timed_out", "timeout_stack_trace"],
+)
+
 
 def open_in_browser(card_path):
     url = "file://" + os.path.abspath(card_path)
@@ -151,8 +167,6 @@ def timeout(time):
 
     try:
         yield
-    except TimeoutError:
-        pass
     finally:
         # Unregister the signal so that it won't be triggered
         # if the timeout is not reached.
@@ -375,14 +389,154 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
-def render_card(mf_card, task, timeout_value=None):
-    rendered_info = None
+def _extract_reload_token(data, task, mf_card):
+    if "render_seq" not in data:
+        return "never"
+
+    if data["render_seq"] == "final":
+        # final data update should always trigger a card reload to show
+        # the final card, hence a different token for the final update
+        return "final"
+    elif mf_card.RELOAD_POLICY == mf_card.RELOAD_POLICY_ALWAYS:
+        return "render-seq-%s" % data["render_seq"]
+    elif mf_card.RELOAD_POLICY == mf_card.RELOAD_POLICY_NEVER:
+        return "never"
+    elif mf_card.RELOAD_POLICY == mf_card.RELOAD_POLICY_ONCHANGE:
+        return mf_card.reload_content_token(task, data)
+
+
+def update_card(mf_card, mode, task, data, timeout_value=None):
+    """
+    This method will be responsible for creating a card/data-update based on the `mode`.
+    There are three possible modes taken by this function.
+        - render :
+            - This will render the "final" card.
+            - This mode is passed at task completion.
+            - Setting this mode will call the `render` method of a MetaflowCard.
+            - It will result in the creation of an HTML page.
+        - render_runtime:
+            - Setting this mode will render a card during task "runtime".
+            - Setting this mode will call the `render_runtime` method of a MetaflowCard.
+            - It will result in the creation of an HTML page.
+        - refresh:
+            - Setting this mode will refresh the data update for a card.
+            - We support this mode because rendering a full card can be an expensive operation, but shipping tiny data updates can be cheap.
+            - Setting this mode will call the `refresh` method of a MetaflowCard.
+            - It will result in the creation of a JSON object.
+
+    Parameters
+    ----------
+    mf_card : MetaflowCard
+        MetaflowCard object which will be used to render the card.
+    mode : str
+        Mode of rendering the card.
+    task : Task
+        Task object which will be passed to render the card.
+    data : dict
+        object created and passed down from `current.card._get_latest_data` method.
+        For more information on this object's schema have a look at `current.card._get_latest_data` method.
+    timeout_value : int
+        Timeout value for rendering the card.
+
+    Returns
+    -------
+    CardRenderInfo
+        - NamedTuple which will contain:
+            - `mode`: The mode of rendering the card.
+            - `is_implemented`: whether the function was implemented or not.
+            - `data` : output from rendering the card (Can be string/dict)
+            - `timed_out` : whether the function timed out or not.
+            - `timeout_stack_trace` : stack trace of the function if it timed out.
+    """
+
+    def _add_token_html(html):
+        if html is None:
+            return None
+        return html.replace(
+            mf_card.RELOAD_POLICY_TOKEN,
+            _extract_reload_token(data=data, task=task, mf_card=mf_card),
+        )
+
+    def _add_token_json(json_msg):
+        if json_msg is None:
+            return None
+        return {
+            "reload_token": _extract_reload_token(
+                data=data, task=task, mf_card=mf_card
+            ),
+            "data": json_msg,
+            "created_on": time.time(),
+        }
+
+    def _safe_call_function(func, *args, **kwargs):
+        """
+        returns (data, is_implemented)
+        """
+        try:
+            return func(*args, **kwargs), True
+        except NotImplementedError as e:
+            return None, False
+
+    def _call():
+        if mode == "render":
+            setattr(
+                mf_card.__class__,
+                "runtime_data",
+                property(fget=lambda _, data=data: data),
+            )
+            output = _add_token_html(mf_card.render(task))
+            return CardRenderInfo(
+                mode=mode,
+                is_implemented=True,
+                data=output,
+                timed_out=False,
+                timeout_stack_trace=None,
+            )
+
+        elif mode == "render_runtime":
+            # Since many cards created by metaflow users may not have implemented a
+            # `render_time` / `refresh` methods, it can result in an exception and thereby
+            # creation of error cards (especially for the `render_runtime` method). So instead
+            # we will catch the NotImplementedError and return None if users have not implemented it.
+            # If there any any other exception from the user code, it should be bubbled to the top level.
+            output, is_implemented = _safe_call_function(
+                mf_card.render_runtime, task, data
+            )
+            return CardRenderInfo(
+                mode=mode,
+                is_implemented=is_implemented,
+                data=_add_token_html(output),
+                timed_out=False,
+                timeout_stack_trace=None,
+            )
+
+        elif mode == "refresh":
+            output, is_implemented = _safe_call_function(mf_card.refresh, task, data)
+            return CardRenderInfo(
+                mode=mode,
+                is_implemented=is_implemented,
+                data=_add_token_json(output),
+                timed_out=False,
+                timeout_stack_trace=None,
+            )
+
+    render_info = None
     if timeout_value is None or timeout_value < 0:
-        rendered_info = mf_card.render(task)
+        return _call()
     else:
-        with timeout(timeout_value):
-            rendered_info = mf_card.render(task)
-    return rendered_info
+        try:
+            with timeout(timeout_value):
+                render_info = _call()
+        except TimeoutError:
+            stack_trace = traceback.format_exc()
+            return CardRenderInfo(
+                mode=mode,
+                is_implemented=True,
+                data=None,
+                timed_out=True,
+                timeout_stack_trace=stack_trace,
+            )
+        return render_info
 
 
 @card.command(help="create a HTML card")
@@ -398,7 +552,7 @@ def render_card(mf_card, task, timeout_value=None):
     "--options",
     default=None,
     show_default=True,
-    type=JSONType,
+    type=JSONTypeClass(),
     help="arguments of the card being created.",
 )
 @click.option(
@@ -414,30 +568,74 @@ def render_card(mf_card, task, timeout_value=None):
     is_flag=True,
     help="Upon failing to render a card, render a card holding the stack trace",
 )
+@click.option(
+    "--id",
+    default=None,
+    show_default=True,
+    type=str,
+    help="ID of the card",
+)
 @click.option(
     "--component-file",
     default=None,
     show_default=True,
     type=str,
-    help="JSON File with Pre-rendered components.(internal)",
+    help="JSON File with pre-rendered components. (internal)",
 )
 @click.option(
-    "--id",
+    "--mode",
+    default="render",
+    show_default=True,
+    type=click.Choice(["render", "render_runtime", "refresh"]),
+    help="Rendering mode. (internal)",
+)
+@click.option(
+    "--data-file",
     default=None,
     show_default=True,
     type=str,
-    help="ID of the card",
+    hidden=True,
+    help="JSON file containing data to be updated. (internal)",
+)
+@click.option(
+    "--card-uuid",
+    default=None,
+    show_default=True,
+    type=str,
+    hidden=True,
+    help="Card UUID. (internal)",
+)
+@click.option(
+    "--delete-input-files",
+    default=False,
+    is_flag=True,
+    show_default=True,
+    hidden=True,
+    help="Delete data-file and component-file after reading. (internal)",
+)
+@click.option(
+    "--save-metadata",
+    default=None,
+    show_default=True,
+    type=JSONTypeClass(),
+    hidden=True,
+    help="JSON string containing metadata to be saved. (internal)",
 )
 @click.pass_context
 def create(
     ctx,
     pathspec,
+    mode=None,
     type=None,
     options=None,
     timeout=None,
     component_file=None,
+    data_file=None,
     render_error_card=False,
+    card_uuid=None,
+    delete_input_files=None,
     id=None,
+    save_metadata=None,
 ):
     card_id = id
     rendered_info = None  # Variable holding all the information which will be rendered
@@ -452,11 +650,26 @@ def create(
 
     graph_dict, _ = ctx.obj.graph.output_steps()
 
+    if card_uuid is None:
+        card_uuid = str(uuid.uuid4()).replace("-", "")
+
     # Components are rendered in a Step and added via `current.card.append` are added here.
     component_arr = []
     if component_file is not None:
         with open(component_file, "r") as f:
             component_arr = json.load(f)
+        # Component data used in card runtime is passed in as temporary files which can be deleted after use
+        if delete_input_files:
+            os.remove(component_file)
+
+    # Load data to be refreshed for runtime cards
+    data = {}
+    if data_file is not None:
+        with open(data_file, "r") as f:
+            data = json.load(f)
+        # data is passed in as temporary files which can be deleted after use
+        if delete_input_files:
+            os.remove(data_file)
 
     task = Task(full_pathspec)
     from metaflow.plugins import CARDS
@@ -487,10 +700,15 @@ def create(
         try:
             if options is not None:
                 mf_card = filtered_card(
-                    options=options, components=component_arr, graph=graph_dict
+                    options=options,
+                    components=component_arr,
+                    graph=graph_dict,
+                    flow=ctx.obj.flow,
                 )
             else:
-                mf_card = filtered_card(components=component_arr, graph=graph_dict)
+                mf_card = filtered_card(
+                    components=component_arr, graph=graph_dict, flow=ctx.obj.flow
+                )
         except TypeError as e:
             if render_error_card:
                 mf_card = None
@@ -498,23 +716,92 @@ def create(
             else:
                 raise IncorrectCardArgsException(type, options)
 
+        rendered_content = None
         if mf_card:
             try:
-                rendered_info = render_card(mf_card, task, timeout_value=timeout)
+                rendered_info = update_card(
+                    mf_card, mode, task, data, timeout_value=timeout
+                )
+                rendered_content = rendered_info.data
             except:
+                rendered_info = CardRenderInfo(
+                    mode=mode,
+                    is_implemented=True,
+                    data=None,
+                    timed_out=False,
+                    timeout_stack_trace=None,
+                )
                 if render_error_card:
                     error_stack_trace = str(UnrenderableCardException(type, options))
                 else:
                     raise UnrenderableCardException(type, options)
-        #
-
-    if error_stack_trace is not None:
-        rendered_info = error_card().render(task, stack_trace=error_stack_trace)
 
-    if rendered_info is None and render_error_card:
-        rendered_info = error_card().render(
-            task, stack_trace="No information rendered From card of type %s" % type
+    # In the entire card rendering process, there are a few cases we want to handle:
+    # - [mode == "render"]
+    #   1. Card is rendered successfully (We store it in the datastore as a HTML file)
+    #   2. Card is not rendered successfully and we have --save-error-card flag set to True
+    #      (We store it in the datastore as a HTML file with stack trace)
+    #   3. Card render timed-out and we have --save-error-card flag set to True
+    #      (We store it in the datastore as a HTML file with stack trace)
+    #   4. `render` returns nothing and we have --save-error-card flag set to True.
+    #       (We store it in the datastore as a HTML file with some message saying you returned nothing)
+    # - [mode == "render_runtime"]
+    #   1. Card is rendered successfully (We store it in the datastore as a HTML file)
+    #   2. `render_runtime` is not implemented but gets called and we have --save-error-card flag set to True.
+    #       (We store it in the datastore as a HTML file with some message saying the card should not be a runtime card if this method is not Implemented)
+    #   3. `render_runtime` is implemented and raises an exception and we have --save-error-card flag set to True.
+    #       (We store it in the datastore as a HTML file with stack trace)
+    #   4. `render_runtime` is implemented but returns nothing and we have --save-error-card flag set to True.
+    #       (We store it in the datastore as a HTML file with some message saying you returned nothing)
+    #   5. `render_runtime` is implemented but times out and we have --save-error-card flag set to True.
+    #       (We store it in the datastore as a HTML file with stack trace)
+    # - [mode == "refresh"]
+    #   1. Data update is created successfully (We store it in the datastore as a JSON file)
+    #   2. `refresh` is not implemented. (We do nothing. Don't store anything.)
+    #   3. `refresh` is implemented but it raises an exception. (We do nothing. Don't store anything.)
+    #   4. `refresh` is implemented but it times out. (We do nothing. Don't store anything.)
+
+    def _render_error_card(stack_trace):
+        _card = error_card()
+        token = _extract_reload_token(data, task, _card)
+        return _card.render(
+            task,
+            stack_trace=stack_trace,
+        ).replace(_card.RELOAD_POLICY_TOKEN, token)
+
+    if error_stack_trace is not None and mode != "refresh":
+        rendered_content = _render_error_card(error_stack_trace)
+    elif (
+        rendered_info.is_implemented
+        and rendered_info.timed_out
+        and mode != "refresh"
+        and render_error_card
+    ):
+        timeout_stack_trace = (
+            "\nCard rendering timed out after %s seconds. "
+            "To increase the timeout duration for card rendering, please set the `timeout` parameter in the @card decorator. "
+            "\nStack Trace : \n%s"
+        ) % (timeout, rendered_info.timeout_stack_trace)
+        rendered_content = _render_error_card(timeout_stack_trace)
+    elif (
+        rendered_info.is_implemented
+        and rendered_info.data is None
+        and render_error_card
+        and mode != "refresh"
+    ):
+        rendered_content = _render_error_card(
+            "No information rendered from card of type %s" % type
         )
+    elif (
+        not rendered_info.is_implemented
+        and render_error_card
+        and mode == "render_runtime"
+    ):
+        message = (
+            "Card of type %s is a runtime time card with no `render_runtime` implemented. "
+            "Please implement `render_runtime` method to allow rendering this card at runtime."
+        ) % type
+        rendered_content = _render_error_card(message)
 
     # todo : should we save native type for error card or error type ?
     if type is not None and re.match(CARD_ID_PATTERN, type) is not None:
@@ -531,13 +818,31 @@ def create(
         )
         card_id = None
 
-    if rendered_info is not None:
-        card_info = card_datastore.save_card(save_type, rendered_info, card_id=card_id)
-        ctx.obj.echo(
-            "Card created with type: %s and hash: %s"
-            % (card_info.type, card_info.hash[:NUM_SHORT_HASH_CHARS]),
-            fg="green",
-        )
+    if rendered_content is not None:
+        if mode == "refresh":
+            card_datastore.save_data(
+                card_uuid, save_type, rendered_content, card_id=card_id
+            )
+            ctx.obj.echo("Data updated", fg="green")
+        else:
+            card_info = card_datastore.save_card(
+                card_uuid, save_type, rendered_content, card_id=card_id
+            )
+            ctx.obj.echo(
+                "Card created with type: %s and hash: %s"
+                % (card_info.type, card_info.hash[:NUM_SHORT_HASH_CHARS]),
+                fg="green",
+            )
+            if save_metadata:
+                _save_metadata(
+                    ctx.obj.metadata,
+                    task.parent.parent.id,
+                    task.parent.id,
+                    task.id,
+                    task.current_attempt,
+                    card_uuid,
+                    save_metadata,
+                )
 
 
 @card.command()
@@ -655,7 +960,6 @@ def list(
     as_json=False,
     file=None,
 ):
-
     card_id = id
     if pathspec is None:
         list_many_cards(
@@ -687,3 +991,125 @@ def list(
         show_list_as_json=as_json,
         file=file,
     )
+
+
+@card.command(help="Run local card viewer server")
+@click.option(
+    "--run-id",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Run ID of the flow",
+)
+@click.option(
+    "--port",
+    default=8324,
+    show_default=True,
+    type=int,
+    help="Port on which Metaflow card viewer server will run",
+)
+@click.option(
+    "--namespace",
+    "user_namespace",
+    default=None,
+    show_default=True,
+    type=str,
+    help="Namespace of the flow",
+)
+@click.option(
+    "--poll-interval",
+    default=5,
+    show_default=True,
+    type=int,
+    help="Polling interval of the card viewer server.",
+)
+@click.option(
+    "--max-cards",
+    default=30,
+    show_default=True,
+    type=int,
+    help="Maximum number of cards to be shown at any time by the card viewer server",
+)
+@click.pass_context
+def server(ctx, run_id, port, user_namespace, poll_interval, max_cards):
+    from .card_server import create_card_server, CardServerOptions
+
+    user_namespace = resolve_identity() if user_namespace is None else user_namespace
+    run, follow_new_runs, _status_message = _get_run_object(
+        ctx.obj, run_id, user_namespace
+    )
+    if _status_message is not None:
+        ctx.obj.echo(_status_message, fg="red")
+    options = CardServerOptions(
+        flow_name=ctx.obj.flow.name,
+        run_object=run,
+        only_running=False,
+        follow_resumed=False,
+        flow_datastore=ctx.obj.flow_datastore,
+        max_cards=max_cards,
+        follow_new_runs=follow_new_runs,
+        poll_interval=poll_interval,
+    )
+    create_card_server(options, port, ctx.obj)
+
+
+def _get_run_from_cli_set_runid(obj, run_id):
+    # This run-id will be set from the command line args.
+    # So if we hit a MetaflowNotFound exception / Namespace mismatch then
+    # we should raise an exception
+    from metaflow import Run
+
+    flow_name = obj.flow.name
+    if len(run_id.split("/")) > 1:
+        raise CommandException(
+            "run_id should NOT be of the form: `/`. Please provide only run-id"
+        )
+    try:
+        pathspec = "%s/%s" % (flow_name, run_id)
+        # Since we are looking at all namespaces,
+        # we will not
+        namespace(None)
+        return Run(pathspec)
+    except MetaflowNotFound:
+        raise CommandException("No run (%s) found for *%s*." % (run_id, flow_name))
+
+
+def _get_run_object(obj, run_id, user_namespace):
+    from metaflow import Flow
+
+    follow_new_runs = True
+    flow_name = obj.flow.name
+
+    if run_id is not None:
+        follow_new_runs = False
+        run = _get_run_from_cli_set_runid(obj, run_id)
+        obj.echo("Using run-id %s" % run.pathspec, fg="blue", bold=False)
+        return run, follow_new_runs, None
+
+    _msg = "Searching for runs in namespace: %s" % user_namespace
+    obj.echo(_msg, fg="blue", bold=False)
+
+    try:
+        namespace(user_namespace)
+        flow = Flow(pathspec=flow_name)
+        run = flow.latest_run
+    except MetaflowNotFound:
+        # When we have no runs found for the Flow, we need to ensure that
+        # if the `follow_new_runs` is set to True; If `follow_new_runs` is set to True then
+        # we don't raise the Exception and instead we return None and let the
+        # background Thread wait on the Retrieving the run object.
+        _status_msg = "No run found for *%s*." % flow_name
+        return None, follow_new_runs, _status_msg
+
+    except MetaflowNamespaceMismatch:
+        _status_msg = (
+            "No run found for *%s* in namespace *%s*. You can switch the namespace using --namespace"
+            % (
+                flow_name,
+                user_namespace,
+            )
+        )
+        return None, follow_new_runs, _status_msg
+
+    obj.echo("Using run-id %s" % run.pathspec, fg="blue", bold=False)
+    return run, follow_new_runs, None
diff --git a/metaflow/plugins/cards/card_client.py b/metaflow/plugins/cards/card_client.py
index 07800a347f3..65ff1da1124 100644
--- a/metaflow/plugins/cards/card_client.py
+++ b/metaflow/plugins/cards/card_client.py
@@ -2,10 +2,10 @@
 from metaflow.datastore import FlowDataStore
 from metaflow.metaflow_config import CARD_SUFFIX
 from .card_resolver import resolve_paths_from_task, resumed_info
-from .card_datastore import CardDatastore
+from .card_datastore import CardDatastore, CardNameSuffix
 from .exception import (
     UnresolvableDatastoreException,
-    IncorrectArguementException,
+    IncorrectArgumentException,
     IncorrectPathspecException,
 )
 import os
@@ -13,7 +13,7 @@
 import uuid
 
 if TYPE_CHECKING:
-    from metaflow.client.core import Task
+    import metaflow
 
 _TYPE = type
 _ID_FUNC = id
@@ -47,6 +47,7 @@ def __init__(
         self._created_on = created_on
         self._card_ds = card_ds
         self._card_id = id
+        self._data_path = None
 
         # public attributes
         self.hash = hash
@@ -57,6 +58,17 @@ def __init__(
         # Tempfile to open stuff in browser
         self._temp_file = None
 
+    def get_data(self) -> Optional[dict]:
+        # currently an internal method to retrieve a card's data.
+        if self._data_path is None:
+            data_paths = self._card_ds.extract_data_paths(
+                card_type=self.type, card_hash=self.hash, card_id=self._card_id
+            )
+            if len(data_paths) == 0:
+                return None
+            self._data_path = data_paths[0]
+        return self._card_ds.get_card_data(self._data_path)
+
     def get(self) -> str:
         """
         Retrieves the HTML contents of the card from the
@@ -89,6 +101,11 @@ def path(self) -> str:
     def id(self) -> Optional[str]:
         """
         The ID of the card, if specified with `@card(id=ID)`.
+
+        Returns
+        -------
+        Optional[str]
+            ID of the card
         """
         return self._card_id
 
@@ -150,12 +167,12 @@ class CardContainer:
     ```
     """
 
-    def __init__(self, card_paths, card_ds, from_resumed=False, origin_pathspec=None):
+    def __init__(self, card_paths, card_ds, origin_pathspec=None):
         self._card_paths = card_paths
         self._card_ds = card_ds
         self._current = 0
         self._high = len(card_paths)
-        self.from_resumed = from_resumed
+        self.from_resumed = origin_pathspec is not None
         self.origin_pathspec = origin_pathspec
 
     def __len__(self):
@@ -172,7 +189,7 @@ def _get_card(self, index):
         if index >= self._high:
             raise IndexError
         path = self._card_paths[index]
-        card_info = self._card_ds.card_info_from_path(path)
+        card_info = self._card_ds.info_from_path(path, suffix=CardNameSuffix.CARD)
         # todo : find card creation date and put it in client.
         return Card(
             self._card_ds,
@@ -205,7 +222,7 @@ def _repr_html_(self):
 
 
 def get_cards(
-    task: Union[str, "Task"],
+    task: Union[str, "metaflow.Task"],
     id: Optional[str] = None,
     type: Optional[str] = None,
     follow_resumed: bool = True,
@@ -220,14 +237,14 @@ def get_cards(
 
     Parameters
     ----------
-    task : str or `Task`
+    task : Union[str, `Task`]
         A `Task` object or pathspec `{flow_name}/{run_id}/{step_name}/{task_id}` that
         uniquely identifies a task.
-    id : str, optional
+    id : str, optional, default None
         The ID of card to retrieve if multiple cards are present.
-    type : str, optional
+    type : str, optional, default None
         The type of card to retrieve if multiple cards are present.
-    follow_resumed : bool, default: True
+    follow_resumed : bool, default True
         If the task has been resumed, then setting this flag will resolve the card for
         the origin task.
 
@@ -250,8 +267,9 @@ def get_cards(
         task = Task(task_str)
     elif not isinstance(task, Task):
         # Exception that the task argument should be of form `Task` or `str`
-        raise IncorrectArguementException(_TYPE(task))
+        raise IncorrectArgumentException(_TYPE(task))
 
+    origin_taskpathspec = None
     if follow_resumed:
         origin_taskpathspec = resumed_info(task)
         if origin_taskpathspec:
@@ -263,7 +281,6 @@ def get_cards(
     return CardContainer(
         card_paths,
         card_ds,
-        from_resumed=origin_taskpathspec is not None,
         origin_pathspec=origin_taskpathspec,
     )
 
diff --git a/metaflow/plugins/cards/card_creator.py b/metaflow/plugins/cards/card_creator.py
new file mode 100644
index 00000000000..14977563240
--- /dev/null
+++ b/metaflow/plugins/cards/card_creator.py
@@ -0,0 +1,252 @@
+import time
+import subprocess
+import tempfile
+import json
+import sys
+import os
+from metaflow import current
+from typing import Callable, Tuple, Dict
+
+
+ASYNC_TIMEOUT = 30
+
+
+class CardProcessManager:
+    """
+    This class is responsible for managing the card creation processes.
+
+    """
+
+    async_card_processes = {
+        # "carduuid": {
+        #     "proc": subprocess.Popen,
+        #     "started": time.time()
+        # }
+    }
+
+    @classmethod
+    def _register_card_process(cls, carduuid, proc):
+        cls.async_card_processes[carduuid] = {
+            "proc": proc,
+            "started": time.time(),
+        }
+
+    @classmethod
+    def _get_card_process(cls, carduuid):
+        proc_dict = cls.async_card_processes.get(carduuid, None)
+        if proc_dict is not None:
+            return proc_dict["proc"], proc_dict["started"]
+        return None, None
+
+    @classmethod
+    def _remove_card_process(cls, carduuid):
+        if carduuid in cls.async_card_processes:
+            cls.async_card_processes[carduuid]["proc"].kill()
+            del cls.async_card_processes[carduuid]
+
+
+class CardCreator:
+    def __init__(
+        self,
+        top_level_options,
+        should_save_metadata_lambda: Callable[[str], Tuple[bool, Dict]],
+    ):
+        # should_save_metadata_lambda is a lambda that provides a flag to indicate if
+        # card metadata should be written to the metadata store.
+        # It gets called only once when the card is created inside the subprocess.
+        # The intent is that this is a stateful lambda that will ensure that we only end
+        # up writing to the metadata store once.
+        self._top_level_options = top_level_options
+        self._should_save_metadata = should_save_metadata_lambda
+
+    def create(
+        self,
+        card_uuid=None,
+        user_set_card_id=None,
+        runtime_card=False,
+        decorator_attributes=None,
+        card_options=None,
+        logger=None,
+        mode="render",
+        final=False,
+        sync=False,
+    ):
+        # Setting `final` will affect the Reload token set during the card refresh
+        # data creation along with synchronous execution of subprocess.
+        # Setting `sync` will only cause synchronous execution of subprocess.
+        save_metadata = False
+        metadata_dict = {}
+        if mode != "render" and not runtime_card:
+            # silently ignore runtime updates for cards that don't support them
+            return
+        elif mode == "refresh":
+            # don't serialize components, which can be a somewhat expensive operation,
+            # if we are just updating data
+            component_strings = []
+        else:
+            component_strings = current.card._serialize_components(card_uuid)
+            # Since the mode is a render, we can check if we need to write to the metadata store.
+            save_metadata, metadata_dict = self._should_save_metadata(card_uuid)
+        data = current.card._get_latest_data(card_uuid, final=final, mode=mode)
+        runspec = "/".join([current.run_id, current.step_name, current.task_id])
+        self._run_cards_subprocess(
+            card_uuid,
+            user_set_card_id,
+            mode,
+            runspec,
+            decorator_attributes,
+            card_options,
+            component_strings,
+            logger,
+            data,
+            final=final,
+            sync=sync,
+            save_metadata=save_metadata,
+            metadata_dict=metadata_dict,
+        )
+
+    def _run_cards_subprocess(
+        self,
+        card_uuid,
+        user_set_card_id,
+        mode,
+        runspec,
+        decorator_attributes,
+        card_options,
+        component_strings,
+        logger,
+        data=None,
+        final=False,
+        sync=False,
+        save_metadata=False,
+        metadata_dict=None,
+    ):
+        components_file = data_file = None
+        wait = final or sync
+
+        if len(component_strings) > 0:
+            # note that we can't delete temporary files here when calling the subprocess
+            # async due to a race condition. The subprocess must delete them
+            components_file = tempfile.NamedTemporaryFile(
+                "w", suffix=".json", delete=False
+            )
+            json.dump(component_strings, components_file)
+            components_file.seek(0)
+        if data is not None:
+            data_file = tempfile.NamedTemporaryFile("w", suffix=".json", delete=False)
+            json.dump(data, data_file)
+            data_file.seek(0)
+
+        executable = sys.executable
+        cmd = [
+            executable,
+            sys.argv[0],
+        ]
+
+        cmd += self._top_level_options + [
+            "card",
+            "create",
+            runspec,
+            "--delete-input-files",
+            "--card-uuid",
+            card_uuid,
+            "--mode",
+            mode,
+            "--type",
+            decorator_attributes["type"],
+            # Add the options relating to card arguments.
+            # todo : add scope as a CLI arg for the create method.
+        ]
+        if card_options is not None and len(card_options) > 0:
+            cmd += ["--options", json.dumps(card_options)]
+        # set the id argument.
+
+        if decorator_attributes["timeout"] is not None:
+            cmd += ["--timeout", str(decorator_attributes["timeout"])]
+
+        if user_set_card_id is not None:
+            cmd += ["--id", str(user_set_card_id)]
+
+        if decorator_attributes["save_errors"]:
+            cmd += ["--render-error-card"]
+
+        if components_file is not None:
+            cmd += ["--component-file", components_file.name]
+
+        if data_file is not None:
+            cmd += ["--data-file", data_file.name]
+
+        if save_metadata:
+            cmd += ["--save-metadata", json.dumps(metadata_dict)]
+
+        response, fail = self._run_command(
+            cmd,
+            card_uuid,
+            os.environ,
+            timeout=decorator_attributes["timeout"],
+            wait=wait,
+        )
+        if fail:
+            resp = "" if response is None else response.decode("utf-8")
+            logger(
+                "Card render failed with error : \n\n %s" % resp,
+                timestamp=False,
+                bad=True,
+            )
+
+    def _wait_for_async_processes_to_finish(self, card_uuid, async_timeout):
+        _async_proc, _async_started = CardProcessManager._get_card_process(card_uuid)
+        while _async_proc is not None and _async_proc.poll() is None:
+            if time.time() - _async_started > async_timeout:
+                # This means the process has crossed the timeout and we need to kill it.
+                CardProcessManager._remove_card_process(card_uuid)
+                break
+
+    def _run_command(self, cmd, card_uuid, env, wait=True, timeout=None):
+        fail = False
+        timeout_args = {}
+        async_timeout = ASYNC_TIMEOUT
+        if timeout is not None:
+            async_timeout = int(timeout) + 10
+            timeout_args = dict(timeout=int(timeout) + 10)
+
+        if wait:
+            self._wait_for_async_processes_to_finish(card_uuid, async_timeout)
+            try:
+                rep = subprocess.check_output(
+                    cmd, env=env, stderr=subprocess.STDOUT, **timeout_args
+                )
+            except subprocess.CalledProcessError as e:
+                rep = e.output
+                fail = True
+            except subprocess.TimeoutExpired as e:
+                rep = e.output
+                fail = True
+            return rep, fail
+        else:
+            _async_proc, _async_started = CardProcessManager._get_card_process(
+                card_uuid
+            )
+            if _async_proc and _async_proc.poll() is None:
+                if time.time() - _async_started > async_timeout:
+                    CardProcessManager._remove_card_process(card_uuid)
+                    # Since we have removed the card process, we are free to run a new one
+                    # This will also ensure that when a old process is removed a new one is replaced.
+                    return self._run_command(
+                        cmd, card_uuid, env, wait=wait, timeout=timeout
+                    )
+                else:
+                    # silently refuse to run an async process if a previous one is still running
+                    # and timeout hasn't been reached
+                    return "".encode(), False
+            else:
+                CardProcessManager._register_card_process(
+                    card_uuid,
+                    subprocess.Popen(
+                        cmd,
+                        env=env,
+                        stderr=subprocess.DEVNULL,
+                        stdout=subprocess.DEVNULL,
+                    ),
+                )
+                return "".encode(), False
diff --git a/metaflow/plugins/cards/card_datastore.py b/metaflow/plugins/cards/card_datastore.py
index 59931592878..f70f608c372 100644
--- a/metaflow/plugins/cards/card_datastore.py
+++ b/metaflow/plugins/cards/card_datastore.py
@@ -3,9 +3,9 @@
 """
 
 from collections import namedtuple
-from hashlib import sha1
 from io import BytesIO
 import os
+import json
 import shutil
 
 from metaflow.plugins.datastores.local_storage import LocalStorage
@@ -16,7 +16,6 @@
     CARD_SUFFIX,
     CARD_AZUREROOT,
     CARD_GSROOT,
-    SKIP_CARD_DUALWRITE,
 )
 import metaflow.metaflow_config as metaflow_config
 
@@ -28,6 +27,16 @@
 CardInfo = namedtuple("CardInfo", ["type", "hash", "id", "filename"])
 
 
+class CardNameSuffix:
+    DATA = "data.json"
+    CARD = "html"
+
+
+class CardPathSuffix:
+    DATA = "runtime"
+    CARD = "cards"
+
+
 def path_spec_resolver(pathspec):
     splits = pathspec.split("/")
     splits.extend([None] * (4 - len(splits)))
@@ -85,18 +94,22 @@ def __init__(self, flow_datastore, pathspec=None):
         self._run_id = run_id
         self._step_name = step_name
         self._pathspec = pathspec
-        self._temp_card_save_path = self._get_write_path(base_pth=TEMP_DIR_NAME)
+        self._temp_card_save_path = self._get_card_write_path(base_pth=TEMP_DIR_NAME)
 
     @classmethod
-    def get_card_location(cls, base_path, card_name, card_html, card_id=None):
-        chash = sha1(bytes(card_html, "utf-8")).hexdigest()
+    def get_card_location(
+        cls, base_path, card_name, uuid, card_id=None, suffix=CardNameSuffix.CARD
+    ):
+        chash = uuid
         if card_id is None:
-            card_file_name = "%s-%s.html" % (card_name, chash)
+            card_file_name = "%s-%s.%s" % (card_name, chash, suffix)
         else:
-            card_file_name = "%s-%s-%s.html" % (card_name, card_id, chash)
+            card_file_name = "%s-%s-%s.%s" % (card_name, card_id, chash, suffix)
         return os.path.join(base_path, card_file_name)
 
-    def _make_path(self, base_pth, pathspec=None, with_steps=False):
+    def _make_path(
+        self, base_pth, pathspec=None, with_steps=False, suffix=CardPathSuffix.CARD
+    ):
         sysroot = base_pth
         if pathspec is not None:
             # since most cards are at a task level there will always be 4 non-none values returned
@@ -121,7 +134,7 @@ def _make_path(self, base_pth, pathspec=None, with_steps=False):
                 step_name,
                 "tasks",
                 task_id,
-                "cards",
+                suffix,
             ]
         else:
             pth_arr = [
@@ -131,20 +144,49 @@ def _make_path(self, base_pth, pathspec=None, with_steps=False):
                 run_id,
                 "tasks",
                 task_id,
-                "cards",
+                suffix,
             ]
         if sysroot == "" or sysroot is None:
             pth_arr.pop(0)
         return os.path.join(*pth_arr)
 
-    def _get_write_path(self, base_pth=""):
-        return self._make_path(base_pth, pathspec=self._pathspec, with_steps=True)
+    def _get_data_read_path(self, base_pth=""):
+        return self._make_path(
+            base_pth=base_pth,
+            pathspec=self._pathspec,
+            with_steps=True,
+            suffix=CardPathSuffix.DATA,
+        )
+
+    def _get_data_write_path(self, base_pth=""):
+        return self._make_path(
+            base_pth=base_pth,
+            pathspec=self._pathspec,
+            with_steps=True,
+            suffix=CardPathSuffix.DATA,
+        )
 
-    def _get_read_path(self, base_pth="", with_steps=False):
-        return self._make_path(base_pth, pathspec=self._pathspec, with_steps=with_steps)
+    def _get_card_write_path(
+        self,
+        base_pth="",
+    ):
+        return self._make_path(
+            base_pth,
+            pathspec=self._pathspec,
+            with_steps=True,
+            suffix=CardPathSuffix.CARD,
+        )
+
+    def _get_card_read_path(self, base_pth="", with_steps=False):
+        return self._make_path(
+            base_pth,
+            pathspec=self._pathspec,
+            with_steps=with_steps,
+            suffix=CardPathSuffix.CARD,
+        )
 
     @staticmethod
-    def card_info_from_path(path):
+    def info_from_path(path, suffix=CardNameSuffix.CARD):
         """
         Args:
             path (str): The path to the card
@@ -160,8 +202,8 @@ def card_info_from_path(path):
 
         if len(file_split) not in [2, 3]:
             raise Exception(
-                "Invalid card file name %s. Card file names should be of form TYPE-HASH.html or TYPE-ID-HASH.html"
-                % card_file_name
+                "Invalid file name %s. Card/Data file names should be of form TYPE-HASH.%s or TYPE-ID-HASH.%s"
+                % (card_file_name, suffix, suffix)
             )
         card_type, card_hash, card_id = None, None, None
 
@@ -170,60 +212,51 @@ def card_info_from_path(path):
         else:
             card_type, card_id, card_hash = file_split
 
-        card_hash = card_hash.split(".html")[0]
+        card_hash = card_hash.split("." + suffix)[0]
         return CardInfo(card_type, card_hash, card_id, card_file_name)
 
-    def save_card(self, card_type, card_html, card_id=None, overwrite=True):
+    def save_data(self, uuid, card_type, json_data, card_id=None):
         card_file_name = card_type
-        # TEMPORARY_WORKAROUND: FIXME (LATER) : Fix the duplication of below block in a few months.
-        # Check file blame to understand the age of this temporary workaround.
-
-        # This function will end up saving cards at two locations.
-        # Thereby doubling the number of cards. (Which is a temporary fix)
-        # Why do this ? :
-        # When cards were introduced there was an assumption made about task-ids being unique.
-        # This assumption was incorrect.
-        # Only the pathspec needs to be unique but there is no such guarantees about task-ids.
-        # When task-ids are non-unique, card read would result in finding incorrect cards.
-        # This happens because cards were stored based on task-ids.
-        # If we immediately switch from storing based on task-ids to a step-name abstraction folder,
-        # then card reading will crash for many users.
-        # It would especially happen for users who are accessing cards created by a newer
-        # MF client from an older version of MF client.
-        # It will also easily end up breaking the metaflow-ui (which maybe using a client from an older version).
-        # Hence, we are writing cards to both paths so that we can introduce breaking changes later in the future.
-        card_path_with_steps = self.get_card_location(
-            self._get_write_path(), card_file_name, card_html, card_id=card_id
+        loc = self.get_card_location(
+            self._get_data_write_path(),
+            card_file_name,
+            uuid,
+            card_id=card_id,
+            suffix=CardNameSuffix.DATA,
+        )
+        self._backend.save_bytes(
+            [(loc, BytesIO(json.dumps(json_data).encode("utf-8")))], overwrite=True
         )
-        if SKIP_CARD_DUALWRITE:
-            self._backend.save_bytes(
-                [(card_path_with_steps, BytesIO(bytes(card_html, "utf-8")))],
-                overwrite=overwrite,
-            )
-        else:
-            card_path_without_steps = self.get_card_location(
-                self._get_read_path(with_steps=False),
-                card_file_name,
-                card_html,
-                card_id=card_id,
-            )
-            for cp in [card_path_with_steps, card_path_without_steps]:
-                self._backend.save_bytes(
-                    [(cp, BytesIO(bytes(card_html, "utf-8")))], overwrite=overwrite
-                )
 
-        return self.card_info_from_path(card_path_with_steps)
+    def save_card(self, uuid, card_type, card_html, card_id=None, overwrite=True):
+        card_file_name = card_type
+        card_path_with_steps = self.get_card_location(
+            self._get_card_write_path(),
+            card_file_name,
+            uuid,
+            card_id=card_id,
+            suffix=CardNameSuffix.CARD,
+        )
+        self._backend.save_bytes(
+            [(card_path_with_steps, BytesIO(bytes(card_html, "utf-8")))],
+            overwrite=overwrite,
+        )
+        return self.info_from_path(card_path_with_steps, suffix=CardNameSuffix.CARD)
 
     def _list_card_paths(self, card_type=None, card_hash=None, card_id=None):
         # Check for new cards first
         card_paths = []
         card_paths_with_steps = self._backend.list_content(
-            [self._get_read_path(with_steps=True)]
+            [self._get_card_read_path(with_steps=True)]
         )
 
         if len(card_paths_with_steps) == 0:
+            # The listing logic is reading the cards with steps and without steps
+            # because earlier versions of clients (ones that wrote cards before June 2022),
+            # would have written cards without steps. So as a fallback we will try to check for the
+            # cards without steps.
             card_paths_without_steps = self._backend.list_content(
-                [self._get_read_path(with_steps=False)]
+                [self._get_card_read_path(with_steps=False)]
             )
             if len(card_paths_without_steps) == 0:
                 # If there are no files found on the Path then raise an error of
@@ -240,7 +273,7 @@ def _list_card_paths(self, card_type=None, card_hash=None, card_id=None):
         cards_found = []
         for task_card_path in card_paths:
             card_path = task_card_path.path
-            card_info = self.card_info_from_path(card_path)
+            card_info = self.info_from_path(card_path, suffix=CardNameSuffix.CARD)
             if card_type is not None and card_info.type != card_type:
                 continue
             elif card_hash is not None:
@@ -254,11 +287,32 @@ def _list_card_paths(self, card_type=None, card_hash=None, card_id=None):
 
         return cards_found
 
+    def _list_card_data(self, card_type=None, card_hash=None, card_id=None):
+        card_data_paths = self._backend.list_content([self._get_data_read_path()])
+        data_found = []
+
+        for data_path in card_data_paths:
+            _pth = data_path.path
+            card_info = self.info_from_path(_pth, suffix=CardNameSuffix.DATA)
+            if card_type is not None and card_info.type != card_type:
+                continue
+            elif card_hash is not None:
+                if not card_info.hash.startswith(card_hash):
+                    continue
+            elif card_id is not None and card_info.id != card_id:
+                continue
+            if data_path.is_file:
+                data_found.append(_pth)
+
+        return data_found
+
     def create_full_path(self, card_path):
         return os.path.join(self._backend.datastore_root, card_path)
 
     def get_card_names(self, card_paths):
-        return [self.card_info_from_path(path) for path in card_paths]
+        return [
+            self.info_from_path(path, suffix=CardNameSuffix.CARD) for path in card_paths
+        ]
 
     def get_card_html(self, path):
         with self._backend.load_bytes([path]) as get_results:
@@ -267,6 +321,13 @@ def get_card_html(self, path):
                     with open(path, "r") as f:
                         return f.read()
 
+    def get_card_data(self, path):
+        with self._backend.load_bytes([path]) as get_results:
+            for _, path, _ in get_results:
+                if path is not None:
+                    with open(path, "r") as f:
+                        return json.loads(f.read())
+
     def cache_locally(self, path, save_path=None):
         """
         Saves the data present in the `path` the `metaflow_card_cache` directory or to the `save_path`.
@@ -292,6 +353,15 @@ def cache_locally(self, path, save_path=None):
                     shutil.copy(path, main_path)
                     return main_path
 
+    def extract_data_paths(self, card_type=None, card_hash=None, card_id=None):
+        return self._list_card_data(
+            # card_hash is the unique identifier to the card.
+            # Its no longer the actual hash!
+            card_type=card_type,
+            card_hash=card_hash,
+            card_id=card_id,
+        )
+
     def extract_card_paths(self, card_type=None, card_hash=None, card_id=None):
         return self._list_card_paths(
             card_type=card_type, card_hash=card_hash, card_id=card_id
diff --git a/metaflow/plugins/cards/card_decorator.py b/metaflow/plugins/cards/card_decorator.py
index efa13a1ec90..28c0c7f8f10 100644
--- a/metaflow/plugins/cards/card_decorator.py
+++ b/metaflow/plugins/cards/card_decorator.py
@@ -1,22 +1,22 @@
-import subprocess
+import json
 import os
+import re
 import tempfile
-import sys
-import json
+from typing import Tuple, Dict
 
-from typing import Dict, Any
-
-from metaflow.decorators import StepDecorator, flow_decorators
-from metaflow.current import current
+from metaflow.decorators import StepDecorator
+from metaflow.metadata_provider import MetaDatum
+from metaflow.metaflow_current import current
+from metaflow.user_configs.config_options import ConfigInput
+from metaflow.user_configs.config_parameters import dump_config_values
 from metaflow.util import to_unicode
-from .component_serializer import CardComponentCollector, get_card_class
-
-
-# from metaflow import get_metadata
-import re
 
+from .component_serializer import CardComponentCollector, get_card_class
+from .card_creator import CardCreator
 from .exception import CARD_ID_PATTERN, TYPE_CHECK_REGEX
 
+ASYNC_TIMEOUT = 30
+
 
 def warning_message(message, logger=None, ts=False):
     msg = "[@card WARNING] %s" % message
@@ -24,6 +24,24 @@ def warning_message(message, logger=None, ts=False):
         logger(msg, timestamp=ts, bad=True)
 
 
+class MetadataStateManager(object):
+    def __init__(self, info_func):
+        self._info_func = info_func
+        self._metadata_registered = {}
+
+    def register_metadata(self, card_uuid) -> Tuple[bool, Dict]:
+        info = self._info_func()
+        # Check that metadata was not written yet. We only want to write once.
+        if (
+            info is None
+            or info.get(card_uuid) is None
+            or self._metadata_registered.get(card_uuid)
+        ):
+            return False, {}
+        self._metadata_registered[card_uuid] = True
+        return True, info.get(card_uuid)
+
+
 class CardDecorator(StepDecorator):
     """
     Creates a human-readable report, a Metaflow Card, after this step completes.
@@ -32,25 +50,44 @@ class CardDecorator(StepDecorator):
 
     Parameters
     ----------
-    type : str, default: 'default'
+    type : str, default 'default'
         Card type.
-    id : str, optional, default: None
+    id : str, optional, default None
         If multiple cards are present, use this id to identify this card.
-    options : Dict[str, Any], default: {}
+    options : Dict[str, Any], default {}
         Options passed to the card. The contents depend on the card type.
-    timeout : int, default: 45
+    timeout : int, default 45
         Interrupt reporting if it takes more than this many seconds.
+
+    MF Add To Current
+    -----------------
+    card -> metaflow.plugins.cards.component_serializer.CardComponentCollector
+        The `@card` decorator makes the cards available through the `current.card`
+        object. If multiple `@card` decorators are present, you can add an `ID` to
+        distinguish between them using `@card(id=ID)` as the decorator. You will then
+        be able to access that specific card using `current.card[ID].
+
+        Methods available are `append` and `extend`
+
+        @@ Returns
+        -------
+        CardComponentCollector
+            The or one of the cards attached to this step.
     """
 
+    _GLOBAL_CARD_INFO = {}
+
     name = "card"
     defaults = {
         "type": "default",
         "options": {},
         "scope": "task",
+        "rank": None,  # Can be one of "high", "medium", "low". Can help derive ordering on the UI.
         "timeout": 45,
         "id": None,
         "save_errors": True,
         "customize": False,
+        "refresh_interval": 5,
     }
     allow_multiple = True
 
@@ -60,6 +97,14 @@ class CardDecorator(StepDecorator):
 
     _called_once = {}
 
+    card_creator = None
+
+    _config_values = None
+
+    _config_file_name = None
+
+    task_finished_decos = 0
+
     def __init__(self, *args, **kwargs):
         super(CardDecorator, self).__init__(*args, **kwargs)
         self._task_datastore = None
@@ -69,6 +114,11 @@ def __init__(self, *args, **kwargs):
         self._is_editable = False
         self._card_uuid = None
         self._user_set_card_id = None
+        self._metadata_registered = False
+
+    @classmethod
+    def _set_card_creator(cls, card_creator):
+        cls.card_creator = card_creator
 
     def _is_event_registered(self, evt_name):
         return evt_name in self._called_once
@@ -86,21 +136,60 @@ def _set_card_counts_per_step(cls, step_name, total_count):
     def _increment_step_counter(cls):
         cls.step_counter += 1
 
+    @classmethod
+    def _increment_completed_counter(cls):
+        cls.task_finished_decos += 1
+
+    @classmethod
+    def _set_config_values(cls, config_values):
+        cls._config_values = config_values
+
+    @classmethod
+    def _set_config_file_name(cls, flow):
+        # Only create a config file from the very first card decorator.
+        if cls._config_values and not cls._config_file_name:
+            with tempfile.NamedTemporaryFile(
+                mode="w", encoding="utf-8", delete=False
+            ) as config_file:
+                config_value = dump_config_values(flow)
+                json.dump(config_value, config_file)
+                cls._config_file_name = config_file.name
+
+    @classmethod
+    def _register_card_info(cls, **kwargs):
+        if not kwargs.get("card_uuid"):
+            raise ValueError("card_uuid is required")
+        cls._GLOBAL_CARD_INFO[kwargs["card_uuid"]] = kwargs
+
+    @classmethod
+    def all_cards_info(cls):
+        return cls._GLOBAL_CARD_INFO.copy()
+
     def step_init(
         self, flow, graph, step_name, decorators, environment, flow_datastore, logger
     ):
-
         self._flow_datastore = flow_datastore
         self._environment = environment
         self._logger = logger
         self.card_options = None
 
+        # We check for configuration options. We do this here before they are
+        # converted to properties.
+        self._set_config_values(
+            [
+                (config.name, ConfigInput.make_key_name(config.name))
+                for _, config in flow._get_parameters()
+                if config.IS_CONFIG_PARAMETER
+            ]
+        )
+
         self.card_options = self.attributes["options"]
 
         evt_name = "step-init"
         # `'%s-%s'%(evt_name,step_name)` ensures that we capture this once per @card per @step.
         # Since there can be many steps checking if event is registered for `evt_name` will only make it check it once for all steps.
         # Hence, we have `_is_event_registered('%s-%s'%(evt_name,step_name))`
+        self._is_runtime_card = False
         evt = "%s-%s" % (evt_name, step_name)
         if not self._is_event_registered(evt):
             # We set the total count of decorators so that we can use it for
@@ -126,11 +215,31 @@ def task_pre_step(
         ubf_context,
         inputs,
     ):
+        self._task_datastore = task_datastore
+        self._metadata = metadata
+
+        # If we have configs, we need to dump them to a file so we can re-use them
+        # when calling the card creation subprocess.
+        # Since a step can contain multiple card decorators, and all the card creation processes
+        # will reference the same config file (because of how the CardCreator is created (only single class instance)),
+        # we need to ensure that a single config file is being referenced for all card create commands.
+        # This config file will be removed when the last card decorator has finished creating its card.
+        self._set_config_file_name(flow)
+        # The MetadataStateManager is used to track the state of the metadata registration.
+        # It is there to ensure that we only register metadata for the card once. This is so that we
+        # avoid any un-necessary metadata writes because the create command can be called multiple times during the
+        # card creation process.
+        self._metadata_state_manager = MetadataStateManager(self.all_cards_info)
+
         card_type = self.attributes["type"]
         card_class = get_card_class(card_type)
+
+        self._is_runtime_card = False
         if card_class is not None:  # Card type was not found
             if card_class.ALLOW_USER_COMPONENTS:
                 self._is_editable = True
+            self._is_runtime_card = card_class.RUNTIME_UPDATABLE
+
         # We have a step counter to ensure that on calling the final card decorator's `task_pre_step`
         # we call a `finalize` function in the `CardComponentCollector`.
         # This can help ensure the behaviour of the `current.card` object is according to specification.
@@ -155,7 +264,16 @@ def task_pre_step(
         # we need to ensure that `current.card` has `CardComponentCollector` instantiated only once.
         if not self._is_event_registered("pre-step"):
             self._register_event("pre-step")
-            current._update_env({"card": CardComponentCollector(self._logger)})
+            self._set_card_creator(
+                CardCreator(
+                    self._create_top_level_args(flow),
+                    self._metadata_state_manager.register_metadata,
+                )
+            )
+
+            current._update_env(
+                {"card": CardComponentCollector(self._logger, self.card_creator)}
+            )
 
         # this line happens because of decospecs parsing.
         customize = False
@@ -165,28 +283,49 @@ def task_pre_step(
         card_metadata = current.card._add_card(
             self.attributes["type"],
             self._user_set_card_id,
-            self._is_editable,
-            customize,
+            self.attributes,
+            self.card_options,
+            editable=self._is_editable,
+            customize=customize,
+            runtime_card=self._is_runtime_card,
+            refresh_interval=self.attributes["refresh_interval"],
         )
         self._card_uuid = card_metadata["uuid"]
 
+        self._register_card_info(
+            card_uuid=self._card_uuid,
+            rank=self.attributes["rank"],
+            type=self.attributes["type"],
+            options=self.card_options,
+            is_editable=self._is_editable,
+            is_runtime_card=self._is_runtime_card,
+            refresh_interval=self.attributes["refresh_interval"],
+            customize=customize,
+            id=self._user_set_card_id,
+        )
+
         # This means that we are calling `task_pre_step` on the last card decorator.
         # We can now `finalize` method in the CardComponentCollector object.
         # This will set up the `current.card` object for usage inside `@step` code.
         if self.step_counter == self.total_decos_on_step[step_name]:
             current.card._finalize()
 
-        self._task_datastore = task_datastore
-        self._metadata = metadata
-
     def task_finished(
         self, step_name, flow, graph, is_task_ok, retry_count, max_user_code_retries
     ):
-        if not is_task_ok:
-            return
-        component_strings = current.card._serialize_components(self._card_uuid)
-        runspec = "/".join([current.run_id, current.step_name, current.task_id])
-        self._run_cards_subprocess(runspec, component_strings)
+        create_options = dict(
+            card_uuid=self._card_uuid,
+            user_set_card_id=self._user_set_card_id,
+            runtime_card=self._is_runtime_card,
+            decorator_attributes=self.attributes,
+            card_options=self.card_options,
+            logger=self._logger,
+        )
+        if is_task_ok:
+            self.card_creator.create(mode="render", final=True, **create_options)
+            self.card_creator.create(mode="refresh", final=True, **create_options)
+
+        self._cleanup(step_name)
 
     @staticmethod
     def _options(mapping):
@@ -197,10 +336,13 @@ def _options(mapping):
                 for value in v:
                     yield "--%s" % k
                     if not isinstance(value, bool):
-                        yield to_unicode(value)
-
-    def _create_top_level_args(self):
+                        if isinstance(value, tuple):
+                            for val in value:
+                                yield to_unicode(val)
+                        else:
+                            yield to_unicode(value)
 
+    def _create_top_level_args(self, flow):
         top_level_options = {
             "quiet": True,
             "metadata": self._metadata.TYPE,
@@ -213,68 +355,18 @@ def _create_top_level_args(self):
             # We don't provide --with as all execution is taking place in
             # the context of the main process
         }
-        return list(self._options(top_level_options))
-
-    def _run_cards_subprocess(self, runspec, component_strings):
-        temp_file = None
-        if len(component_strings) > 0:
-            temp_file = tempfile.NamedTemporaryFile("w", suffix=".json")
-            json.dump(component_strings, temp_file)
-            temp_file.seek(0)
-        executable = sys.executable
-        cmd = [
-            executable,
-            sys.argv[0],
-        ]
-        cmd += self._create_top_level_args() + [
-            "card",
-            "create",
-            runspec,
-            "--type",
-            self.attributes["type"],
-            # Add the options relating to card arguments.
-            # todo : add scope as a CLI arg for the create method.
-        ]
-        if self.card_options is not None and len(self.card_options) > 0:
-            cmd += ["--options", json.dumps(self.card_options)]
-        # set the id argument.
+        if self._config_values:
+            top_level_options["config-value"] = self._config_values
+            top_level_options["local-config-file"] = self._config_file_name
 
-        if self.attributes["timeout"] is not None:
-            cmd += ["--timeout", str(self.attributes["timeout"])]
-
-        if self._user_set_card_id is not None:
-            cmd += ["--id", str(self._user_set_card_id)]
-
-        if self.attributes["save_errors"]:
-            cmd += ["--render-error-card"]
-
-        if temp_file is not None:
-            cmd += ["--component-file", temp_file.name]
-
-        response, fail = self._run_command(
-            cmd, os.environ, timeout=self.attributes["timeout"]
-        )
-        if fail:
-            resp = "" if response is None else response.decode("utf-8")
-            self._logger(
-                "Card render failed with error : \n\n %s" % resp,
-                timestamp=False,
-                bad=True,
-            )
+        return list(self._options(top_level_options))
 
-    def _run_command(self, cmd, env, timeout=None):
-        fail = False
-        timeout_args = {}
-        if timeout is not None:
-            timeout_args = dict(timeout=int(timeout) + 10)
-        try:
-            rep = subprocess.check_output(
-                cmd, env=env, stderr=subprocess.STDOUT, **timeout_args
-            )
-        except subprocess.CalledProcessError as e:
-            rep = e.output
-            fail = True
-        except subprocess.TimeoutExpired as e:
-            rep = e.output
-            fail = True
-        return rep, fail
+    def _cleanup(self, step_name):
+        self._increment_completed_counter()
+        if self.task_finished_decos == self.total_decos_on_step[step_name]:
+            # Unlink the config file if it exists
+            if self._config_file_name:
+                try:
+                    os.unlink(self._config_file_name)
+                except Exception as e:
+                    pass
diff --git a/metaflow/plugins/cards/card_modules/base.html b/metaflow/plugins/cards/card_modules/base.html
index 38a066179ea..76ff0b87d2d 100644
--- a/metaflow/plugins/cards/card_modules/base.html
+++ b/metaflow/plugins/cards/card_modules/base.html
@@ -18,16 +18,28 @@
 
   

   
   
+  {{#RENDER_COMPLETE}}
+  
+  {{/RENDER_COMPLETE}}
+  {{^RENDER_COMPLETE}}
+  
+  {{/RENDER_COMPLETE}}
 
 
 
diff --git a/metaflow/plugins/cards/card_modules/basic.py b/metaflow/plugins/cards/card_modules/basic.py
index b078a8f82d3..256375509f7 100644
--- a/metaflow/plugins/cards/card_modules/basic.py
+++ b/metaflow/plugins/cards/card_modules/basic.py
@@ -1,9 +1,10 @@
 import base64
 import json
 import os
-from .card import MetaflowCard, MetaflowCardComponent
+from .card import MetaflowCard, MetaflowCardComponent, with_default_component_id
 from .convert_to_native_type import TaskToDict
 import uuid
+import inspect
 
 ABS_DIR_PATH = os.path.dirname(os.path.abspath(__file__))
 RENDER_TEMPLATE_PATH = os.path.join(ABS_DIR_PATH, "base.html")
@@ -26,9 +27,11 @@ def node_to_type(node_type):
         graph_dict[stepname] = {
             "type": node_to_type(step_info[stepname]["type"]),
             "box_next": step_info[stepname]["type"] not in ("linear", "join"),
-            "box_ends": None
-            if "matching_join" not in step_info[stepname]
-            else step_info[stepname]["matching_join"],
+            "box_ends": (
+                None
+                if "matching_join" not in step_info[stepname]
+                else step_info[stepname]["matching_join"]
+            ),
             "next": step_info[stepname]["next"],
             "doc": step_info[stepname]["doc"],
         }
@@ -146,6 +149,8 @@ def render(self):
             label=self._label,
         )
         datadict.update(img_dict)
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
         return datadict
 
 
@@ -194,6 +199,8 @@ def render(self):
         datadict["columns"] = self._headers
         datadict["data"] = self._data
         datadict["vertical"] = self._vertical
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
         return datadict
 
 
@@ -230,9 +237,28 @@ def __init__(self, data=None):
         super().__init__(title=None, subtitle=None)
         self._data = data
 
+    @with_default_component_id
     def render(self):
         datadict = super().render()
         datadict["data"] = self._data
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
+        return datadict
+
+
+class PythonCodeComponent(DefaultComponent):
+
+    type = "pythonCode"
+
+    def __init__(self, data=None):
+        super().__init__(title=None, subtitle=None)
+        self._data = data
+
+    def render(self):
+        datadict = super().render()
+        datadict["data"] = self._data
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
         return datadict
 
 
@@ -295,6 +321,8 @@ def __init__(self, title=None, subtitle=None, data={}):
     def render(self):
         datadict = super().render()
         datadict["data"] = self._data
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
         return datadict
 
 
@@ -307,7 +335,16 @@ def __init__(self, text=None):
 
     def render(self):
         datadict = super().render()
-        datadict["source"] = self._text
+        _text = self._text
+        # When we have a markdown text that doesn't start with a `#`,
+        # we need to add a newline to make sure that the markdown
+        # is rendered correctly. Otherwise `svelte-markdown` will render
+        # the empty `
` tags during re-renders on card data updates.
+        if self._text is not None and not self._text.startswith("#"):
+            _text = "\n" + _text
+        datadict["source"] = _text
+        if self.component_id is not None:
+            datadict["id"] = self.component_id
         return datadict
 
 
@@ -319,7 +356,14 @@ class TaskInfoComponent(MetaflowCardComponent):
     """
 
     def __init__(
-        self, task, page_title="Task Info", only_repr=True, graph=None, components=[]
+        self,
+        task,
+        page_title="Task Info",
+        only_repr=True,
+        graph=None,
+        components=[],
+        runtime=False,
+        flow=None,
     ):
         self._task = task
         self._only_repr = only_repr
@@ -328,6 +372,8 @@ def __init__(
         self._page_title = page_title
         self.final_component = None
         self.page_component = None
+        self.runtime = runtime
+        self.flow = flow
 
     def render(self):
         """
@@ -340,7 +386,8 @@ def render(self):
             self._task, graph=self._graph
         )
         # ignore the name as an artifact
-        del task_data_dict["data"]["name"]
+        if "name" in task_data_dict["data"]:
+            del task_data_dict["data"]["name"]
 
         _metadata = dict(version=1, template="defaultCardTemplate")
         # try to parse out metaflow version from tags, but let it go if unset
@@ -370,11 +417,12 @@ def render(self):
             "Task Created On": task_data_dict["created_at"],
             "Task Finished On": task_data_dict["finished_at"],
             # Remove Microseconds from timedelta
-            "Task Duration": str(self._task.finished_at - self._task.created_at).split(
-                "."
-            )[0],
             "Tags": ", ".join(tags),
         }
+        if not self.runtime:
+            task_metadata_dict["Task Duration"] = str(
+                self._task.finished_at - self._task.created_at
+            ).split(".")[0]
         if len(user_info) > 0:
             task_metadata_dict["User"] = user_info[0].split("user:")[1]
 
@@ -434,8 +482,12 @@ def render(self):
             p.id for p in self._task.parent.parent["_parameters"].task if p.id != "name"
         ]
         if len(param_ids) > 0:
+            # Extract parameter from the Parameter Task. That is less brittle.
+            parameter_data = TaskToDict(
+                only_repr=self._only_repr, runtime=self.runtime
+            )(self._task.parent.parent["_parameters"].task, graph=self._graph)
             param_component = ArtifactsComponent(
-                data=[task_data_dict["data"][pid] for pid in param_ids]
+                data=[parameter_data["data"][pid] for pid in param_ids]
             )
         else:
             param_component = TitleComponent(text="No Parameters")
@@ -445,6 +497,16 @@ def render(self):
             contents=[param_component],
         ).render()
 
+        step_func = getattr(self.flow, self._task.parent.id)
+        code_table = SectionComponent(
+            title="Task Code",
+            contents=[
+                TableComponent(
+                    data=[[PythonCodeComponent(inspect.getsource(step_func)).render()]]
+                )
+            ],
+        ).render()
+
         # Don't include parameter ids + "name" in the task artifacts
         artifactlist = [
             task_data_dict["data"][k]
@@ -470,6 +532,7 @@ def render(self):
         page_contents.extend(
             [
                 metadata_table,
+                code_table,
                 parameter_table,
                 artifact_section,
             ]
@@ -514,11 +577,24 @@ class ErrorCard(MetaflowCard):
 
     type = "error"
 
-    def __init__(self, options={}, components=[], graph=None):
+    RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ONCHANGE
+
+    def __init__(self, options={}, components=[], graph=None, **kwargs):
         self._only_repr = True
         self._graph = None if graph is None else transform_flow_graph(graph)
         self._components = components
 
+    def reload_content_token(self, task, data):
+        """
+        The reload token will change when the component array has changed in the Metaflow card.
+        The change in the component array is signified by the change in the component_update_ts.
+        """
+        if task.finished:
+            return "final"
+        # `component_update_ts` will never be None. It is set to a default value when the `ComponentStore` is instantiated
+        # And it is updated when components added / removed / changed from the `ComponentStore`.
+        return "runtime-%s" % (str(data["component_update_ts"]))
+
     def render(self, task, stack_trace=None):
         RENDER_TEMPLATE = read_file(RENDER_TEMPLATE_PATH)
         JS_DATA = read_file(JS_PATH)
@@ -559,9 +635,17 @@ class DefaultCardJSON(MetaflowCard):
 
     type = "default_json"
 
-    def __init__(self, options=dict(only_repr=True), components=[], graph=None):
+    def __init__(
+        self,
+        options=dict(only_repr=True),
+        components=[],
+        graph=None,
+        flow=None,
+        **kwargs
+    ):
         self._only_repr = True
         self._graph = None if graph is None else transform_flow_graph(graph)
+        self._flow = flow
         if "only_repr" in options:
             self._only_repr = options["only_repr"]
         self._components = components
@@ -572,6 +656,7 @@ def render(self, task):
             only_repr=self._only_repr,
             graph=self._graph,
             components=self._components,
+            flow=self._flow,
         ).render()
         return json.dumps(final_component_dict)
 
@@ -580,16 +665,28 @@ class DefaultCard(MetaflowCard):
 
     ALLOW_USER_COMPONENTS = True
 
+    RUNTIME_UPDATABLE = True
+
+    RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ONCHANGE
+
     type = "default"
 
-    def __init__(self, options=dict(only_repr=True), components=[], graph=None):
+    def __init__(
+        self,
+        options=dict(only_repr=True),
+        components=[],
+        graph=None,
+        flow=None,
+        **kwargs
+    ):
         self._only_repr = True
         self._graph = None if graph is None else transform_flow_graph(graph)
+        self._flow = flow
         if "only_repr" in options:
             self._only_repr = options["only_repr"]
         self._components = components
 
-    def render(self, task):
+    def render(self, task, runtime=False):
         RENDER_TEMPLATE = read_file(RENDER_TEMPLATE_PATH)
         JS_DATA = read_file(JS_PATH)
         CSS_DATA = read_file(CSS_PATH)
@@ -598,6 +695,8 @@ def render(self, task):
             only_repr=self._only_repr,
             graph=self._graph,
             components=self._components,
+            runtime=runtime,
+            flow=self._flow,
         ).render()
         pt = self._get_mustache()
         data_dict = dict(
@@ -608,24 +707,46 @@ def render(self, task):
             title=task.pathspec,
             css=CSS_DATA,
             card_data_id=uuid.uuid4(),
+            RENDER_COMPLETE=not runtime,
         )
         return pt.render(RENDER_TEMPLATE, data_dict)
 
+    def render_runtime(self, task, data):
+        return self.render(task, runtime=True)
+
+    def refresh(self, task, data):
+        return data["components"]
+
+    def reload_content_token(self, task, data):
+        """
+        The reload token will change when the component array has changed in the Metaflow card.
+        The change in the component array is signified by the change in the component_update_ts.
+        """
+        if task.finished:
+            return "final"
+        # `component_update_ts` will never be None. It is set to a default value when the `ComponentStore` is instantiated
+        # And it is updated when components added / removed / changed from the `ComponentStore`.
+        return "runtime-%s" % (str(data["component_update_ts"]))
+
 
 class BlankCard(MetaflowCard):
 
     ALLOW_USER_COMPONENTS = True
 
+    RUNTIME_UPDATABLE = True
+
+    RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ONCHANGE
+
     type = "blank"
 
-    def __init__(self, options=dict(title=""), components=[], graph=None):
+    def __init__(self, options=dict(title=""), components=[], graph=None, **kwargs):
         self._graph = None if graph is None else transform_flow_graph(graph)
         self._title = ""
         if "title" in options:
             self._title = options["title"]
         self._components = components
 
-    def render(self, task, components=[]):
+    def render(self, task, components=[], runtime=False):
         RENDER_TEMPLATE = read_file(RENDER_TEMPLATE_PATH)
         JS_DATA = read_file(JS_PATH)
         CSS_DATA = read_file(CSS_PATH)
@@ -650,9 +771,27 @@ def render(self, task, components=[]):
             title=task.pathspec,
             css=CSS_DATA,
             card_data_id=uuid.uuid4(),
+            RENDER_COMPLETE=not runtime,
         )
         return pt.render(RENDER_TEMPLATE, data_dict)
 
+    def render_runtime(self, task, data):
+        return self.render(task, runtime=True)
+
+    def refresh(self, task, data):
+        return data["components"]
+
+    def reload_content_token(self, task, data):
+        """
+        The reload token will change when the component array has changed in the Metaflow card.
+        The change in the component array is signified by the change in the component_update_ts.
+        """
+        if task.finished:
+            return "final"
+        # `component_update_ts` will never be None. It is set to a default value when the `ComponentStore` is instantiated
+        # And it is updated when components added / removed / changed from the `ComponentStore`.
+        return "runtime-%s" % (str(data["component_update_ts"]))
+
 
 class TaskSpecCard(MetaflowCard):
     type = "taskspec_card"
diff --git a/metaflow/plugins/cards/card_modules/bundle.css b/metaflow/plugins/cards/card_modules/bundle.css
index 8744f2941c6..5b617f253c0 100644
--- a/metaflow/plugins/cards/card_modules/bundle.css
+++ b/metaflow/plugins/cards/card_modules/bundle.css
@@ -1,170 +1 @@
-.container.svelte-teyund{width:100%;display:flex;flex-direction:column;position:relative}.mf-card * {
-  box-sizing: border-box;
-}
-
-.mf-card {
-  background: var(--bg);
-  color: var(--black);
-  font-family: "Roboto", -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto",
-    "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue",
-    sans-serif;
-  font-size: 14px;
-  font-weight: 400;
-  line-height: 1.5;
-  text-size-adjust: 100%;
-  margin: 0;
-  min-height: 100vh;
-  overflow-y: visible;
-  padding: 0;
-  text-align: left;
-  -moz-osx-font-smoothing: grayscale;
-  -webkit-font-smoothing: antialiased;
-  width: 100%;
-}
-
-.embed .mf-card {
-  min-height: var(--embed-card-min-height);
-}
-
-.mf-card :is(.mono, code.mono, pre.mono) {
-  font-family: var(--mono-font);
-  font-weight: lighter;
-}
-
-.mf-card :is(table, th, td) {
-  border-spacing: 1px;
-  text-align: center;
-  color: var(--black);
-}
-
-.mf-card table {
-  position: relative;
-  min-width: 100%;
-  table-layout: inherit !important;
-}
-
-.mf-card td {
-  padding: 0.66rem 1.25rem;
-  background: var(--lt-lt-grey);
-  border: none;
-}
-
-.mf-card th {
-  border: none;
-  color: var(--dk-grey);
-  font-weight: normal;
-  padding: 0.5rem;
-}
-
-.mf-card :is(h1, h2, h3, h4, h5) {
-  font-weight: 700;
-  margin: 0.5rem 0;
-}
-
-.mf-card ul {
-  margin: 0;
-  padding: 0;
-}
-
-.mf-card p {
-  margin: 0 0 1rem;
-}
-
-.mf-card p:last-of-type {
-  margin: 0;
-}
-
-.mf-card button {
-  font-size: 1rem;
-}
-
-.mf-card .textButton {
-  cursor: pointer;
-  text-align: left;
-  background: none;
-  border: 1px solid transparent;
-  outline: none;
-  padding: 0;
-}
-
-.mf-card :is(button.textButton:focus, a:focus, button.textButton:active) {
-  border: 1px dashed var(--grey);
-  background: transparent;
-}
-
-.mf-card button.textButton:hover {
-  color: var(--blue);
-  text-decoration: none;
-}
-
-.mf-card :is(:not(pre) > code[class*="language-"], pre[class*="language-"]) {
-  background: transparent !important;
-  text-shadow: none;
-  user-select: auto;
-}
-/* PrismJS 1.25.0
-https://prismjs.com/download.html#themes=prism&languages=clike+python */
-code[class*=language-],pre[class*=language-]{color:#000;background:0 0;text-shadow:0 1px #fff;font-family:Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace;font-size:1em;text-align:left;white-space:pre;word-spacing:normal;word-break:normal;word-wrap:normal;line-height:1.5;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-hyphens:none;-moz-hyphens:none;-ms-hyphens:none;hyphens:none}code[class*=language-] ::-moz-selection,code[class*=language-]::-moz-selection,pre[class*=language-] ::-moz-selection,pre[class*=language-]::-moz-selection{text-shadow:none;background:#b3d4fc}code[class*=language-] ::selection,code[class*=language-]::selection,pre[class*=language-] ::selection,pre[class*=language-]::selection{text-shadow:none;background:#b3d4fc}@media print{code[class*=language-],pre[class*=language-]{text-shadow:none}}pre[class*=language-]{padding:1em;margin:.5em 0;overflow:auto}:not(pre)>code[class*=language-],pre[class*=language-]{background:#f5f2f0}:not(pre)>code[class*=language-]{padding:.1em;border-radius:.3em;white-space:normal}.token.cdata,.token.comment,.token.doctype,.token.prolog{color:#708090}.token.punctuation{color:#999}.token.namespace{opacity:.7}.token.boolean,.token.constant,.token.deleted,.token.number,.token.property,.token.symbol,.token.tag{color:#905}.token.attr-name,.token.builtin,.token.char,.token.inserted,.token.selector,.token.string{color:#690}.language-css .token.string,.style .token.string,.token.entity,.token.operator,.token.url{color:#9a6e3a;background:hsla(0,0%,100%,.5)}.token.atrule,.token.attr-value,.token.keyword{color:#07a}.token.class-name,.token.function{color:#dd4a68}.token.important,.token.regex,.token.variable{color:#e90}.token.bold,.token.important{font-weight:700}.token.italic{font-style:italic}.token.entity{cursor:help}
-@import url("https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700&display=swap");
-
-:root {
-  --bg: #ffffff;
-  --black: #333;
-  --blue: #0c66de;
-  --dk-grey: #767676;
-  --dk-primary: #ef863b;
-  --dk-secondary: #13172d;
-  --dk-tertiary: #0f426e;
-  --error: #cf483e;
-  --grey: rgba(0, 0, 0, 0.125);
-  --highlight: #f8d9d8;
-  --lt-blue: #4fa7ff;
-  --lt-grey: #f3f3f3;
-  --lt-lt-grey: #f9f9f9;
-  --lt-primary: #ffcb8b;
-  --lt-secondary: #434d81;
-  --lt-tertiary: #4189c9;
-  --primary: #faab4a;
-  --quadrary: #f8d9d8;
-  --secondary: #2e3454;
-  --tertiary: #2a679d;
-  --white: #ffffff;
-
-  --component-spacer: 3rem;
-  --aside-width: 20rem;
-  --embed-card-min-height: 12rem;
-
-  --mono-font: ui-monospace, Menlo, Monaco, "Cascadia Mono", "Segoe UI Mono",
-    "Roboto Mono", "Oxygen Mono", "Ubuntu Monospace", "Source Code Pro",
-    "Fira Mono", "Droid Sans Mono", "Courier New", monospace;
-}
-
-html, body {
-  margin: 0;
-  min-height: 100vh;
-  overflow-y: visible;
-  padding: 0;
-  width: 100%;
-}
-
-.card_app {
-  width: 100%;
-  min-height: 100vh;
-}
-
-.embed .card_app {
-  min-height: var(--embed-card-min-height);
-}
-aside.svelte-1okdv0e{display:none;line-height:2;text-align:left}@media(min-width: 60rem){aside.svelte-1okdv0e{display:flex;flex-direction:column;height:100vh;justify-content:space-between;padding:2.5rem 0 1.5rem 1.5rem;position:fixed;width:var(--aside-width)}}.embed aside{display:none}aside ul{list-style-type:none}aside a, aside button, aside a:visited{text-decoration:none;cursor:pointer;font-weight:700;color:var(--black)}aside a:hover, aside button:hover{text-decoration:underline}.logoContainer svg{width:100%;max-width:140px;margin-bottom:3.75rem;height:auto}.mainContainer.svelte-13ho8jo{max-width:110rem}main.svelte-13ho8jo{flex:0 1 auto;max-width:100rem;padding:1.5rem}@media(min-width: 60rem){main.svelte-13ho8jo{margin-left:var(--aside-width)}}.embed main{margin:0 auto}.modal.svelte-1hhf5ym{align-items:center;background:rgba(0, 0, 0, 0.5);bottom:0;cursor:pointer;display:flex;height:100%;justify-content:center;left:0;overflow:hidden;position:fixed;right:0;top:0;width:100%;z-index:100}.modalContainer > *{background-color:white;border-radius:5px;cursor:default;flex:0 1 auto;padding:1rem;position:relative}.modal img{max-height:80vh !important}.cancelButton.svelte-1hhf5ym{color:white;cursor:pointer;font-size:2rem;position:absolute;right:1rem;top:1rem}.cancelButton.svelte-1hhf5ym:hover{color:var(--blue)}.nav.svelte-1kdpgko.svelte-1kdpgko{border-radius:0 0 5px 0;display:none;margin:0;top:0}ul.navList.svelte-1kdpgko.svelte-1kdpgko{list-style-type:none}ul.navList.svelte-1kdpgko ul.svelte-1kdpgko{margin:0.5rem 1rem 2rem}.navList.svelte-1kdpgko li.svelte-1kdpgko{display:block;margin:0}.navItem.svelte-1kdpgko li.svelte-1kdpgko:hover{color:var(--blue)}.pageId.svelte-1kdpgko.svelte-1kdpgko{display:block;border-bottom:1px solid var(--grey);padding:0 0.5rem;margin-bottom:1rem}@media(min-width: 60rem){.nav.svelte-1kdpgko.svelte-1kdpgko{display:block}ul.navList.svelte-1kdpgko.svelte-1kdpgko{text-align:left}.navList.svelte-1kdpgko li.svelte-1kdpgko{display:block;margin:0.5rem 0}}.page.svelte-v7ihqd:last-of-type{margin-bottom:var(--component-spacer)}.page:last-of-type section:last-of-type hr{display:none}.container.svelte-ubs992{width:100%;overflow:auto}table.svelte-ubs992{width:100%}.heading.svelte-17n0qr8{margin-bottom:1.5rem}.sectionItems.svelte-17n0qr8{display:block}.sectionItems .imageContainer{max-height:500px}.container.svelte-17n0qr8{scroll-margin:var(--component-spacer)}hr.svelte-17n0qr8{background:var(--grey);border:none;height:1px;margin:var(--component-spacer) 0;padding:0}@media(min-width: 60rem){.sectionItems.svelte-17n0qr8{display:grid;grid-gap:2rem}}header.svelte-1ugmt5d{margin-bottom:var(--component-spacer)}.subtitle.svelte-lu9pnn{font-size:1rem;text-align:left}.log.svelte-1jhmsu{background:var(--lt-grey) !important;font-size:0.9rem;padding:2rem}.title.svelte-117s0ws{text-align:left}figure.svelte-1x96yvr{background:var(--lt-grey);padding:1rem;border-radius:5px;text-align:center;margin:0 auto var(--component-spacer)}@media(min-width: 60rem){figure.svelte-1x96yvr{margin-bottom:0}}img.svelte-1x96yvr{max-width:100%;max-height:500px}.label.svelte-1x96yvr{font-weight:bold;margin:0.5rem 0}.description.svelte-1x96yvr{font-size:0.9rem;font-style:italic;text-align:center;margin:0.5rem 0}.idCell.svelte-pt8vzv{font-weight:bold;text-align:right;background:var(--lt-grey);width:12%}.codeCell.svelte-pt8vzv{text-align:left;user-select:all}td.svelte-gl9h79{text-align:left}td.labelColumn.svelte-gl9h79{text-align:right;background-color:var(--lt-grey);font-weight:700;width:12%;white-space:nowrap}.tableContainer.svelte-q3hq57{overflow:auto}th.svelte-q3hq57{position:sticky;top:-1px;z-index:2;white-space:nowrap;background:var(--white)}.stepwrapper.svelte-18aex7a{display:flex;align-items:center;flex-direction:column;width:100%;position:relative;min-width:var(--dag-step-width)}.childwrapper.svelte-18aex7a{display:flex;width:100%}.gap.svelte-18aex7a{height:var(--dag-gap)}:root {
-  --dag-border: #282828;
-  --dag-bg-static: var(--lt-grey);
-  --dag-bg-success: #a5d46a;
-  --dag-bg-running: #ffdf80;
-  --dag-bg-error: #ffa080;
-  --dag-connector: #cccccc;
-  --dag-gap: 5rem;
-  --dag-step-height: 6.25rem;
-  --dag-step-width: 11.25rem;
-  --dag-selected: #ffd700;
-}
-.wrapper.svelte-117ceti.svelte-117ceti{position:relative;z-index:1}.step.svelte-117ceti.svelte-117ceti{font-size:0.75rem;padding:0.5rem;color:var(--dk-grey)}.rectangle.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-static);border:1px solid var(--dag-border);box-sizing:border-box;position:relative;height:var(--dag-step-height);width:var(--dag-step-width)}.rectangle.error.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-error)}.rectangle.success.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-success)}.rectangle.running.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-running)}.level.svelte-117ceti.svelte-117ceti{z-index:-1;filter:contrast(0.5);position:absolute}.inner.svelte-117ceti.svelte-117ceti{position:relative;height:100%;width:100%}.name.svelte-117ceti.svelte-117ceti{font-weight:bold;overflow:hidden;text-overflow:ellipsis;display:block}.description.svelte-117ceti.svelte-117ceti{position:absolute;max-height:4rem;bottom:0;left:0;right:0;overflow:hidden;-webkit-line-clamp:4;line-clamp:4;display:-webkit-box;-webkit-box-orient:vertical}.overflown.description.svelte-117ceti.svelte-117ceti{cursor:help}.current.svelte-117ceti .rectangle.svelte-117ceti{box-shadow:0 0 10px var(--dag-selected)}.levelstoshow.svelte-117ceti.svelte-117ceti{position:absolute;bottom:100%;right:0;font-size:0.75rem;font-weight:100;text-align:right}.connectorwrapper.svelte-1hyaq5f{transform-origin:0 0;position:absolute;z-index:0;min-width:var(--strokeWidth)}.flip.svelte-1hyaq5f{transform:scaleX(-1)}.path.svelte-1hyaq5f{--strokeWidth:0.5rem;--strokeColor:var(--dag-connector);--borderRadius:1.25rem;box-sizing:border-box}.straightLine.svelte-1hyaq5f{position:absolute;top:0;bottom:0;left:0;right:0;border-left:var(--strokeWidth) solid var(--strokeColor)}.topLeft.svelte-1hyaq5f{position:absolute;top:0;left:0;right:50%;bottom:calc(var(--dag-gap) / 2 - var(--strokeWidth) / 2);border-radius:0 0 0 var(--borderRadius);border-left:var(--strokeWidth) solid var(--strokeColor);border-bottom:var(--strokeWidth) solid var(--strokeColor)}.bottomRight.svelte-1hyaq5f{position:absolute;top:calc(100% - (var(--dag-gap) / 2 + var(--strokeWidth) / 2));left:50%;right:0;bottom:0;border-radius:0 var(--borderRadius) 0 0;border-top:var(--strokeWidth) solid var(--strokeColor);border-right:var(--strokeWidth) solid var(--strokeColor)}
\ No newline at end of file
+@import"https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700&display=swap";code[class*=language-],pre[class*=language-]{color:#000;background:0 0;text-shadow:0 1px #fff;font-family:Consolas,Monaco,Andale Mono,Ubuntu Mono,monospace;font-size:1em;text-align:left;white-space:pre;word-spacing:normal;word-break:normal;word-wrap:normal;line-height:1.5;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-hyphens:none;-moz-hyphens:none;-ms-hyphens:none;hyphens:none}code[class*=language-] ::-moz-selection,code[class*=language-]::-moz-selection,pre[class*=language-] ::-moz-selection,pre[class*=language-]::-moz-selection{text-shadow:none;background:#b3d4fc}code[class*=language-] ::selection,code[class*=language-]::selection,pre[class*=language-] ::selection,pre[class*=language-]::selection{text-shadow:none;background:#b3d4fc}@media print{code[class*=language-],pre[class*=language-]{text-shadow:none}}pre[class*=language-]{padding:1em;margin:.5em 0;overflow:auto}:not(pre)>code[class*=language-],pre[class*=language-]{background:#f5f2f0}:not(pre)>code[class*=language-]{padding:.1em;border-radius:.3em;white-space:normal}.token.cdata,.token.comment,.token.doctype,.token.prolog{color:#708090}.token.punctuation{color:#999}.token.namespace{opacity:.7}.token.boolean,.token.constant,.token.deleted,.token.number,.token.property,.token.symbol,.token.tag{color:#905}.token.attr-name,.token.builtin,.token.char,.token.inserted,.token.selector,.token.string{color:#690}.language-css .token.string,.style .token.string,.token.entity,.token.operator,.token.url{color:#9a6e3a;background:#ffffff80}.token.atrule,.token.attr-value,.token.keyword{color:#07a}.token.class-name,.token.function{color:#dd4a68}.token.important,.token.regex,.token.variable{color:#e90}.token.bold,.token.important{font-weight:700}.token.italic{font-style:italic}.token.entity{cursor:help}:root{--bg: #ffffff;--black: #333;--blue: #0c66de;--dk-grey: #767676;--dk-primary: #ef863b;--dk-secondary: #13172d;--dk-tertiary: #0f426e;--error: #cf483e;--grey: rgba(0, 0, 0, .125);--highlight: #f8d9d8;--lt-blue: #4fa7ff;--lt-grey: #f3f3f3;--lt-lt-grey: #f9f9f9;--lt-primary: #ffcb8b;--lt-secondary: #434d81;--lt-tertiary: #4189c9;--primary: #faab4a;--quadrary: #f8d9d8;--secondary: #2e3454;--tertiary: #2a679d;--white: #ffffff;--component-spacer: 3rem;--aside-width: 20rem;--embed-card-min-height: 12rem;--mono-font: ui-monospace, Menlo, Monaco, "Cascadia Mono", "Segoe UI Mono", "Roboto Mono", "Oxygen Mono", "Ubuntu Monospace", "Source Code Pro", "Fira Mono", "Droid Sans Mono", "Courier New", monospace}html,body{margin:0;min-height:100vh;overflow-y:visible;padding:0;width:100%}.card_app{width:100%;min-height:100vh}.embed .card_app{min-height:var(--embed-card-min-height)}.mf-card *{box-sizing:border-box}.mf-card{background:var(--bg);color:var(--black);font-family:Roboto,-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,Oxygen,Ubuntu,Cantarell,Fira Sans,Droid Sans,Helvetica Neue,sans-serif;font-size:14px;font-weight:400;line-height:1.5;text-size-adjust:100%;margin:0;min-height:100vh;overflow-y:visible;padding:0;text-align:left;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;width:100%}.embed .mf-card{min-height:var(--embed-card-min-height)}.mf-card :is(.mono,code.mono,pre.mono){font-family:var(--mono-font);font-weight:lighter}.mf-card :is(table,th,td){border-spacing:1px;text-align:center;color:var(--black)}.mf-card table{position:relative;min-width:100%;table-layout:inherit!important}.mf-card td{padding:.66rem 1.25rem;background:var(--lt-lt-grey);border:none}.mf-card th{border:none;color:var(--dk-grey);font-weight:400;padding:.5rem}.mf-card :is(h1,h2,h3,h4,h5){font-weight:700;margin:.5rem 0}.mf-card ul{margin:0;padding:0}.mf-card p{margin:0 0 1rem}.mf-card p:last-of-type{margin:0}.mf-card button{font-size:1rem}.mf-card .textButton{cursor:pointer;text-align:left;background:none;border:1px solid transparent;outline:none;padding:0}.mf-card :is(button.textButton:focus,a:focus,button.textButton:active){border:1px dashed var(--grey);background:transparent}.mf-card button.textButton:hover{color:var(--blue);text-decoration:none}.mf-card :is(:not(pre)>code[class*=language-],pre[class*=language-]){background:transparent!important;text-shadow:none;-webkit-user-select:auto;user-select:auto}aside.svelte-1okdv0e{display:none;line-height:2;text-align:left}@media (min-width: 60rem){aside.svelte-1okdv0e{display:flex;flex-direction:column;height:100vh;justify-content:space-between;padding:2.5rem 0 1.5rem 1.5rem;position:fixed;width:var(--aside-width)}}.embed aside{display:none}aside ul{list-style-type:none}aside a,aside button,aside a:visited{text-decoration:none;cursor:pointer;font-weight:700;color:var(--black)}aside a:hover,aside button:hover{text-decoration:underline}.logoContainer svg{width:100%;max-width:140px;margin-bottom:3.75rem;height:auto}.idCell.svelte-pt8vzv{font-weight:700;text-align:right;background:var(--lt-grey);width:12%}.codeCell.svelte-pt8vzv{text-align:left;-webkit-user-select:all;user-select:all}.container.svelte-ubs992{width:100%;overflow:auto}table.svelte-ubs992{width:100%}:root{--dag-border: #282828;--dag-bg-static: var(--lt-grey);--dag-bg-success: #a5d46a;--dag-bg-running: #ffdf80;--dag-bg-error: #ffa080;--dag-connector: #cccccc;--dag-gap: 5rem;--dag-step-height: 6.25rem;--dag-step-width: 11.25rem;--dag-selected: #ffd700}.connectorwrapper.svelte-1hyaq5f{transform-origin:0 0;position:absolute;z-index:0;min-width:var(--strokeWidth)}.flip.svelte-1hyaq5f{transform:scaleX(-1)}.path.svelte-1hyaq5f{--strokeWidth:.5rem;--strokeColor:var(--dag-connector);--borderRadius:1.25rem;box-sizing:border-box}.straightLine.svelte-1hyaq5f{position:absolute;top:0;bottom:0;left:0;right:0;border-left:var(--strokeWidth) solid var(--strokeColor)}.topLeft.svelte-1hyaq5f{position:absolute;top:0;left:0;right:50%;bottom:calc(var(--dag-gap) / 2 - var(--strokeWidth) / 2);border-radius:0 0 0 var(--borderRadius);border-left:var(--strokeWidth) solid var(--strokeColor);border-bottom:var(--strokeWidth) solid var(--strokeColor)}.bottomRight.svelte-1hyaq5f{position:absolute;top:calc(100% - (var(--dag-gap) / 2 + var(--strokeWidth) / 2));left:50%;right:0;bottom:0;border-radius:0 var(--borderRadius) 0 0;border-top:var(--strokeWidth) solid var(--strokeColor);border-right:var(--strokeWidth) solid var(--strokeColor)}.wrapper.svelte-117ceti.svelte-117ceti{position:relative;z-index:1}.step.svelte-117ceti.svelte-117ceti{font-size:.75rem;padding:.5rem;color:var(--dk-grey)}.rectangle.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-static);border:1px solid var(--dag-border);box-sizing:border-box;position:relative;height:var(--dag-step-height);width:var(--dag-step-width)}.rectangle.error.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-error)}.rectangle.success.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-success)}.rectangle.running.svelte-117ceti.svelte-117ceti{background-color:var(--dag-bg-running)}.level.svelte-117ceti.svelte-117ceti{z-index:-1;filter:contrast(.5);position:absolute}.inner.svelte-117ceti.svelte-117ceti{position:relative;height:100%;width:100%}.name.svelte-117ceti.svelte-117ceti{font-weight:700;overflow:hidden;text-overflow:ellipsis;display:block}.description.svelte-117ceti.svelte-117ceti{position:absolute;max-height:4rem;bottom:0;left:0;right:0;overflow:hidden;-webkit-line-clamp:4;line-clamp:4;display:-webkit-box;-webkit-box-orient:vertical}.overflown.description.svelte-117ceti.svelte-117ceti{cursor:help}.current.svelte-117ceti .rectangle.svelte-117ceti{box-shadow:0 0 10px var(--dag-selected)}.levelstoshow.svelte-117ceti.svelte-117ceti{position:absolute;bottom:100%;right:0;font-size:.75rem;font-weight:100;text-align:right}.stepwrapper.svelte-18aex7a{display:flex;align-items:center;flex-direction:column;width:100%;position:relative;min-width:var(--dag-step-width)}.childwrapper.svelte-18aex7a{display:flex;width:100%}.gap.svelte-18aex7a{height:var(--dag-gap)}.title.svelte-117s0ws{text-align:left}.subtitle.svelte-lu9pnn{font-size:1rem;text-align:left}header.svelte-1ugmt5d{margin-bottom:var(--component-spacer)}figure.svelte-1x96yvr{background:var(--lt-grey);padding:1rem;border-radius:5px;text-align:center;margin:0 auto var(--component-spacer)}@media (min-width: 60rem){figure.svelte-1x96yvr{margin-bottom:0}}img.svelte-1x96yvr{max-width:100%;max-height:500px}.label.svelte-1x96yvr{font-weight:700;margin:.5rem 0}.description.svelte-1x96yvr{font-size:.9rem;font-style:italic;text-align:center;margin:.5rem 0}.log.svelte-1jhmsu{background:var(--lt-grey)!important;font-size:.9rem;padding:2rem}.page.svelte-v7ihqd:last-of-type{margin-bottom:var(--component-spacer)}.page:last-of-type section:last-of-type hr{display:none}progress.svelte-ljrmzp::-webkit-progress-bar{background-color:#fff!important;min-width:100%}progress.svelte-ljrmzp{background-color:#fff;color:#326cded9!important}progress.svelte-ljrmzp::-moz-progress-bar{background-color:#326cde!important}table .container{background:transparent!important;font-size:10px!important;padding:0!important}table progress{height:4px!important}.container.svelte-ljrmzp{display:flex;align-items:center;justify-content:center;font-size:12px;border-radius:3px;background:#edf5ff;padding:3rem}.inner.svelte-ljrmzp{max-width:410px;width:100%;text-align:center}.info.svelte-ljrmzp{display:flex;justify-content:space-between}table .info{text-align:left;flex-direction:column}label.svelte-ljrmzp{font-weight:700}.labelValue.svelte-ljrmzp{border-left:1px solid rgba(0,0,0,.1);margin-left:.25rem;padding-left:.5rem}.details.svelte-ljrmzp{font-family:var(--mono-font);font-size:8px;color:#333433;line-height:18px;overflow:hidden;white-space:nowrap}progress.svelte-ljrmzp{width:100%;border:none;border-radius:5px;height:8px;background:#fff}.heading.svelte-17n0qr8{margin-bottom:1.5rem}.sectionItems.svelte-17n0qr8{display:block}.sectionItems .imageContainer{max-height:500px}.container.svelte-17n0qr8{scroll-margin:var(--component-spacer)}hr.svelte-17n0qr8{background:var(--grey);border:none;height:1px;margin:var(--component-spacer) 0;padding:0}@media (min-width: 60rem){.sectionItems.svelte-17n0qr8{display:grid;grid-gap:2rem}}td.svelte-gl9h79{text-align:left}td.labelColumn.svelte-gl9h79{text-align:right;background-color:var(--lt-grey);font-weight:700;width:12%;white-space:nowrap}.tableContainer.svelte-q3hq57{overflow:auto}th.svelte-q3hq57{position:sticky;top:-1px;z-index:2;white-space:nowrap;background:var(--white)}.mainContainer.svelte-mqeomk{max-width:110rem}main.svelte-mqeomk{flex:0 1 auto;max-width:100rem;padding:1.5rem}@media (min-width: 60rem){main.svelte-mqeomk{margin-left:var(--aside-width)}}.embed main{margin:0 auto;min-width:80%}.modal.svelte-1hhf5ym{align-items:center;background:#00000080;bottom:0;cursor:pointer;display:flex;height:100%;justify-content:center;left:0;overflow:hidden;position:fixed;right:0;top:0;width:100%;z-index:100}.modalContainer>*{background-color:#fff;border-radius:5px;cursor:default;flex:0 1 auto;padding:1rem;position:relative}.modal img{max-height:80vh!important}.cancelButton.svelte-1hhf5ym{color:#fff;cursor:pointer;font-size:2rem;position:absolute;right:1rem;top:1rem}.cancelButton.svelte-1hhf5ym:hover{color:var(--blue)}.nav.svelte-1kdpgko.svelte-1kdpgko{border-radius:0 0 5px;display:none;margin:0;top:0}ul.navList.svelte-1kdpgko.svelte-1kdpgko{list-style-type:none}ul.navList.svelte-1kdpgko ul.svelte-1kdpgko{margin:.5rem 1rem 2rem}.navList.svelte-1kdpgko li.svelte-1kdpgko{display:block;margin:0}.navItem.svelte-1kdpgko li.svelte-1kdpgko:hover{color:var(--blue)}.pageId.svelte-1kdpgko.svelte-1kdpgko{display:block;border-bottom:1px solid var(--grey);padding:0 .5rem;margin-bottom:1rem}@media (min-width: 60rem){.nav.svelte-1kdpgko.svelte-1kdpgko{display:block}ul.navList.svelte-1kdpgko.svelte-1kdpgko{text-align:left}.navList.svelte-1kdpgko li.svelte-1kdpgko{display:block;margin:.5rem 0}}.container.svelte-teyund{width:100%;display:flex;flex-direction:column;position:relative}
diff --git a/metaflow/plugins/cards/card_modules/card.py b/metaflow/plugins/cards/card_modules/card.py
index f0d8d7d5706..2f9d257e0c1 100644
--- a/metaflow/plugins/cards/card_modules/card.py
+++ b/metaflow/plugins/cards/card_modules/card.py
@@ -1,7 +1,8 @@
 from typing import TYPE_CHECKING
+import uuid
 
 if TYPE_CHECKING:
-    from metaflow.client import Task
+    import metaflow
 
 
 class MetaflowCard(object):
@@ -32,13 +33,41 @@ class MetaflowCard(object):
         JSON-encodable dictionary containing user-definable options for the class.
     """
 
+    # RELOAD_POLICY determines whether UIs should
+    # reload intermediate cards produced by render_runtime
+    # or whether they can just rely on data updates
+
+    # the UI may keep using the same card
+    # until the final card is produced
+    RELOAD_POLICY_NEVER = "never"
+
+    # the UI should reload card every time
+    # render_runtime() has produced a new card
+    RELOAD_POLICY_ALWAYS = "always"
+
+    # derive reload token from data and component
+    # content - force reload only when the content
+    # changes. The actual policy is card-specific,
+    # defined by the method reload_content_token()
+    RELOAD_POLICY_ONCHANGE = "onchange"
+
+    # this token will get replaced in the html with a unique
+    # string that is used to ensure that data updates and the
+    # card content matches
+    RELOAD_POLICY_TOKEN = "[METAFLOW_RELOAD_TOKEN]"
+
     type = None
 
     ALLOW_USER_COMPONENTS = False
+    RUNTIME_UPDATABLE = False
+    RELOAD_POLICY = RELOAD_POLICY_NEVER
 
     scope = "task"  # can be task | run
 
-    def __init__(self, options={}, components=[], graph=None):
+    # FIXME document runtime_data
+    runtime_data = None
+
+    def __init__(self, options={}, components=[], graph=None, flow=None):
         pass
 
     def _get_mustache(self):
@@ -49,7 +78,7 @@ def _get_mustache(self):
         except ImportError:
             return None
 
-    def render(self, task: "Task") -> str:
+    def render(self, task: "metaflow.Task") -> str:
         """
         Produce custom card contents in HTML.
 
@@ -68,10 +97,61 @@ def render(self, task: "Task") -> str:
         """
         return NotImplementedError()
 
+    # FIXME document
+    def render_runtime(self, task, data):
+        raise NotImplementedError()
+
+    # FIXME document
+    def refresh(self, task, data):
+        raise NotImplementedError()
+
+    # FIXME document
+    def reload_content_token(self, task, data):
+        return "content-token"
+
 
 class MetaflowCardComponent(object):
+
+    # Setting REALTIME_UPDATABLE as True will allow metaflow to update the card
+    # during Task runtime.
+    REALTIME_UPDATABLE = False
+
+    _component_id = None
+
+    _logger = None
+
+    @property
+    def component_id(self):
+        return self._component_id
+
+    @component_id.setter
+    def component_id(self, value):
+        if not isinstance(value, str):
+            raise TypeError("Component ID must be a string")
+        self._component_id = value
+
+    def update(self, *args, **kwargs):
+        """
+        #FIXME document
+        """
+        raise NotImplementedError()
+
     def render(self):
         """
         `render` returns a string or dictionary. This class can be called on the client side to dynamically add components to the `MetaflowCard`
         """
         raise NotImplementedError()
+
+
+def create_component_id(component):
+    uuid_bit = "".join(uuid.uuid4().hex.split("-"))[:6]
+    return type(component).__name__.lower() + "_" + uuid_bit
+
+
+def with_default_component_id(func):
+    def ret_func(self, *args, **kwargs):
+        if self.component_id is None:
+            self.component_id = create_component_id(self)
+        return func(self, *args, **kwargs)
+
+    return ret_func
diff --git a/metaflow/plugins/cards/card_modules/chevron/renderer.py b/metaflow/plugins/cards/card_modules/chevron/renderer.py
index 28368cd7ee1..acb3a179a97 100644
--- a/metaflow/plugins/cards/card_modules/chevron/renderer.py
+++ b/metaflow/plugins/cards/card_modules/chevron/renderer.py
@@ -61,7 +61,7 @@ def _get_key(key, scopes, warn, keep, def_ldel, def_rdel):
     # Loop through the scopes
     for scope in scopes:
         try:
-            # For every dot seperated key
+            # For every dot separated key
             for child in key.split("."):
                 # Move into the scope
                 try:
diff --git a/metaflow/plugins/cards/card_modules/components.py b/metaflow/plugins/cards/card_modules/components.py
index 53ec9c417c3..65685cc889a 100644
--- a/metaflow/plugins/cards/card_modules/components.py
+++ b/metaflow/plugins/cards/card_modules/components.py
@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Union
+from typing import Any, List, Optional, Union, Callable
 from .basic import (
     LogComponent,
     ErrorComponent,
@@ -7,14 +7,45 @@
     ImageComponent,
     SectionComponent,
     MarkdownComponent,
+    PythonCodeComponent,
 )
-from .card import MetaflowCardComponent
+from .card import MetaflowCardComponent, with_default_component_id
 from .convert_to_native_type import TaskToDict, _full_classname
 from .renderer_tools import render_safely
+import uuid
+import inspect
+
+
+def _warning_with_component(component, msg):
+    if component._logger is None:
+        return None
+    if component._warned_once:
+        return None
+    log_msg = "[@card-component WARNING] %s" % msg
+    component._logger(log_msg, timestamp=False, bad=True)
+    component._warned_once = True
 
 
 class UserComponent(MetaflowCardComponent):
-    pass
+
+    _warned_once = False
+
+    def update(self, *args, **kwargs):
+        cls_name = self.__class__.__name__
+        msg = (
+            "MetaflowCardComponent doesn't have an `update` method implemented "
+            "and is not compatible with realtime updates."
+        ) % cls_name
+        _warning_with_component(self, msg)
+
+
+class StubComponent(UserComponent):
+    def __init__(self, component_id):
+        self._non_existing_comp_id = component_id
+
+    def update(self, *args, **kwargs):
+        msg = "Component with id %s doesn't exist. No updates will be made at anytime during runtime."
+        _warning_with_component(self, msg % self._non_existing_comp_id)
 
 
 class Artifact(UserComponent):
@@ -39,6 +70,11 @@ class Artifact(UserComponent):
         Use a truncated representation.
     """
 
+    REALTIME_UPDATABLE = True
+
+    def update(self, artifact):
+        self._artifact = artifact
+
     def __init__(
         self, artifact: Any, name: Optional[str] = None, compressed: bool = True
     ):
@@ -46,13 +82,16 @@ def __init__(
         self._name = name
         self._task_to_dict = TaskToDict(only_repr=compressed)
 
+    @with_default_component_id
     @render_safely
     def render(self):
         artifact = self._task_to_dict.infer_object(self._artifact)
         artifact["name"] = None
         if self._name is not None:
             artifact["name"] = str(self._name)
-        return ArtifactsComponent(data=[artifact]).render()
+        af_component = ArtifactsComponent(data=[artifact])
+        af_component.component_id = self.component_id
+        return af_component.render()
 
 
 class Table(UserComponent):
@@ -96,10 +135,21 @@ class Table(UserComponent):
         Optional header row for the table.
     """
 
+    REALTIME_UPDATABLE = True
+
+    def update(self, *args, **kwargs):
+        msg = (
+            "`Table` doesn't have an `update` method implemented. "
+            "Components within a table can be updated individually "
+            "but the table itself cannot be updated."
+        )
+        _warning_with_component(self, msg)
+
     def __init__(
         self,
         data: Optional[List[List[Union[str, MetaflowCardComponent]]]] = None,
         headers: Optional[List[str]] = None,
+        disable_updates: bool = False,
     ):
         data = data or [[]]
         headers = headers or []
@@ -111,8 +161,15 @@ def __init__(
         if data_bool:
             self._data = data
 
+        if disable_updates:
+            self.REALTIME_UPDATABLE = False
+
     @classmethod
-    def from_dataframe(cls, dataframe=None, truncate: bool = True):
+    def from_dataframe(
+        cls,
+        dataframe=None,
+        truncate: bool = True,
+    ):
         """
         Create a `Table` based on a Pandas dataframe.
 
@@ -129,14 +186,24 @@ def from_dataframe(cls, dataframe=None, truncate: bool = True):
             table_data = task_to_dict._parse_pandas_dataframe(
                 dataframe, truncate=truncate
             )
-            return_val = cls(data=table_data["data"], headers=table_data["headers"])
+            return_val = cls(
+                data=table_data["data"],
+                headers=table_data["headers"],
+                disable_updates=True,
+            )
             return return_val
         else:
             return cls(
                 headers=["Object type %s not supported" % object_type],
+                disable_updates=True,
             )
 
     def _render_subcomponents(self):
+        for row in self._data:
+            for col in row:
+                if isinstance(col, VegaChart):
+                    col._chart_inside_table = True
+
         return [
             SectionComponent.render_subcomponents(
                 row,
@@ -155,11 +222,14 @@ def _render_subcomponents(self):
             for row in self._data
         ]
 
+    @with_default_component_id
     @render_safely
     def render(self):
-        return TableComponent(
+        table_component = TableComponent(
             headers=self._headers, data=self._render_subcomponents()
-        ).render()
+        )
+        table_component.component_id = self.component_id
+        return table_component.render()
 
 
 class Image(UserComponent):
@@ -213,21 +283,62 @@ class Image(UserComponent):
         Optional label for the image.
     """
 
+    REALTIME_UPDATABLE = True
+
+    _PIL_IMAGE_MODULE_PATH = "PIL.Image.Image"
+
+    _MATPLOTLIB_FIGURE_MODULE_PATH = "matplotlib.figure.Figure"
+
+    _PLT_MODULE = None
+
+    _PIL_MODULE = None
+
+    @classmethod
+    def _get_pil_module(cls):
+        if cls._PIL_MODULE == "NOT_PRESENT":
+            return None
+        if cls._PIL_MODULE is None:
+            try:
+                import PIL
+            except ImportError:
+                cls._PIL_MODULE = "NOT_PRESENT"
+                return None
+            cls._PIL_MODULE = PIL
+        return cls._PIL_MODULE
+
+    @classmethod
+    def _get_plt_module(cls):
+        if cls._PLT_MODULE == "NOT_PRESENT":
+            return None
+        if cls._PLT_MODULE is None:
+            try:
+                import matplotlib.pyplot as pyplt
+            except ImportError:
+                cls._PLT_MODULE = "NOT_PRESENT"
+                return None
+            cls._PLT_MODULE = pyplt
+        return cls._PLT_MODULE
+
     @staticmethod
     def render_fail_headline(msg):
         return "[IMAGE_RENDER FAIL]: %s" % msg
 
-    def __init__(self, src=None, label=None):
-        self._error_comp = None
+    def _set_image_src(self, src, label=None):
         self._label = label
-
-        if type(src) is not str:
+        self._src = None
+        self._error_comp = None
+        if src is None:
+            self._error_comp = ErrorComponent(
+                self.render_fail_headline("`Image` Component `src` cannot be `None`"),
+                "",
+            )
+        elif type(src) is not str:
             try:
                 self._src = self._bytes_to_base64(src)
             except TypeError:
                 self._error_comp = ErrorComponent(
                     self.render_fail_headline(
-                        "first argument should be of type `bytes` or valid image base64 string"
+                        "The `Image` `src` argument should be of type `bytes` or valid image base64 string"
                     ),
                     "Type of %s is invalid" % (str(type(src))),
                 )
@@ -248,11 +359,141 @@ def __init__(self, src=None, label=None):
             else:
                 self._error_comp = ErrorComponent(
                     self.render_fail_headline(
-                        "first argument should be of type `bytes` or valid image base64 string"
+                        "The `Image` `src` argument should be of type `bytes` or valid image base64 string"
                     ),
                     "String %s is invalid base64 string" % src,
                 )
 
+    def __init__(self, src=None, label=None, disable_updates: bool = True):
+        if disable_updates:
+            self.REALTIME_UPDATABLE = False
+        self._set_image_src(src, label=label)
+
+    def _update_image(self, img_obj, label=None):
+        task_to_dict = TaskToDict()
+        parsed_image, err_comp = None, None
+
+        # First set image for bytes/string type
+        if task_to_dict.object_type(img_obj) in ["bytes", "str"]:
+            self._set_image_src(img_obj, label=label)
+            return
+
+        if task_to_dict.object_type(img_obj).startswith("PIL"):
+            parsed_image, err_comp = self._parse_pil_image(img_obj)
+        elif _full_classname(img_obj) == self._MATPLOTLIB_FIGURE_MODULE_PATH:
+            parsed_image, err_comp = self._parse_matplotlib(img_obj)
+        else:
+            parsed_image, err_comp = None, ErrorComponent(
+                self.render_fail_headline(
+                    "Invalid Type. Object %s is not supported. Supported types: %s"
+                    % (
+                        type(img_obj),
+                        ", ".join(
+                            [
+                                "str",
+                                "bytes",
+                                self._PIL_IMAGE_MODULE_PATH,
+                                self._MATPLOTLIB_FIGURE_MODULE_PATH,
+                            ]
+                        ),
+                    )
+                ),
+                "",
+            )
+
+        if parsed_image is not None:
+            self._set_image_src(parsed_image, label=label)
+        else:
+            self._set_image_src(None, label=label)
+            self._error_comp = err_comp
+
+    @classmethod
+    def _pil_parsing_error(cls, error_type):
+        return None, ErrorComponent(
+            cls.render_fail_headline(
+                "first argument for `Image` should be of type %s"
+                % cls._PIL_IMAGE_MODULE_PATH
+            ),
+            "Type of %s is invalid. Type of %s required"
+            % (error_type, cls._PIL_IMAGE_MODULE_PATH),
+        )
+
+    @classmethod
+    def _parse_pil_image(cls, pilimage):
+        parsed_value = None
+        error_component = None
+        import io
+
+        task_to_dict = TaskToDict()
+        _img_type = task_to_dict.object_type(pilimage)
+
+        if not _img_type.startswith("PIL"):
+            return cls._pil_parsing_error(_img_type)
+
+        # Set the module as a part of the class so that
+        # we don't keep reloading the module everytime
+        pil_module = cls._get_pil_module()
+
+        if pil_module is None:
+            return parsed_value, ErrorComponent(
+                cls.render_fail_headline("PIL cannot be imported"), ""
+            )
+        if not isinstance(pilimage, pil_module.Image.Image):
+            return cls._pil_parsing_error(_img_type)
+
+        img_byte_arr = io.BytesIO()
+        try:
+            pilimage.save(img_byte_arr, format="PNG")
+        except OSError as e:
+            return parsed_value, ErrorComponent(
+                cls.render_fail_headline("PIL Image Not Parsable"), "%s" % repr(e)
+            )
+        img_byte_arr = img_byte_arr.getvalue()
+        parsed_value = task_to_dict.parse_image(img_byte_arr)
+        return parsed_value, error_component
+
+    @classmethod
+    def _parse_matplotlib(cls, plot):
+        import io
+        import traceback
+
+        parsed_value = None
+        error_component = None
+        pyplt = cls._get_plt_module()
+        if pyplt is None:
+            return parsed_value, ErrorComponent(
+                cls.render_fail_headline("Matplotlib cannot be imported"),
+                "%s" % traceback.format_exc(),
+            )
+        # First check if it is a valid Matplotlib figure.
+        figure = None
+        if _full_classname(plot) == cls._MATPLOTLIB_FIGURE_MODULE_PATH:
+            figure = plot
+
+        # If it is not valid figure then check if it is matplotlib.axes.Axes or a matplotlib.axes._subplots.AxesSubplot
+        # These contain the `get_figure` function to get the main figure object.
+        if figure is None:
+            if getattr(plot, "get_figure", None) is None:
+                return parsed_value, ErrorComponent(
+                    cls.render_fail_headline(
+                        "Invalid Type. Object %s is not from `matplotlib`" % type(plot)
+                    ),
+                    "",
+                )
+            else:
+                figure = plot.get_figure()
+
+        task_to_dict = TaskToDict()
+        img_bytes_arr = io.BytesIO()
+        figure.savefig(img_bytes_arr, format="PNG")
+        parsed_value = task_to_dict.parse_image(img_bytes_arr.getvalue())
+        pyplt.close(figure)
+        if parsed_value is not None:
+            return parsed_value, error_component
+        return parsed_value, ErrorComponent(
+            cls.render_fail_headline("Matplotlib plot's image is not parsable"), ""
+        )
+
     @staticmethod
     def _bytes_to_base64(bytes_arr):
         task_to_dict = TaskToDict()
@@ -264,7 +505,9 @@ def _bytes_to_base64(bytes_arr):
         return parsed_image
 
     @classmethod
-    def from_pil_image(cls, pilimage, label: Optional[str] = None):
+    def from_pil_image(
+        cls, pilimage, label: Optional[str] = None, disable_updates: bool = False
+    ):
         """
         Create an `Image` from a PIL image.
 
@@ -276,43 +519,29 @@ def from_pil_image(cls, pilimage, label: Optional[str] = None):
             Optional label for the image.
         """
         try:
-            import io
-
-            PIL_IMAGE_PATH = "PIL.Image.Image"
-            task_to_dict = TaskToDict()
-            if task_to_dict.object_type(pilimage) != PIL_IMAGE_PATH:
-                return ErrorComponent(
-                    cls.render_fail_headline(
-                        "first argument for `Image` should be of type %s"
-                        % PIL_IMAGE_PATH
-                    ),
-                    "Type of %s is invalid. Type of %s required"
-                    % (task_to_dict.object_type(pilimage), PIL_IMAGE_PATH),
-                )
-            img_byte_arr = io.BytesIO()
-            try:
-                pilimage.save(img_byte_arr, format="PNG")
-            except OSError as e:
-                return ErrorComponent(
-                    cls.render_fail_headline("PIL Image Not Parsable"), "%s" % repr(e)
-                )
-            img_byte_arr = img_byte_arr.getvalue()
-            parsed_image = task_to_dict.parse_image(img_byte_arr)
+            parsed_image, error_comp = cls._parse_pil_image(pilimage)
             if parsed_image is not None:
-                return cls(src=parsed_image, label=label)
-            return ErrorComponent(
-                cls.render_fail_headline("PIL Image Not Parsable"), ""
-            )
+                img = cls(
+                    src=parsed_image, label=label, disable_updates=disable_updates
+                )
+            else:
+                img = cls(src=None, label=label, disable_updates=disable_updates)
+                img._error_comp = error_comp
+            return img
         except:
             import traceback
 
-            return ErrorComponent(
+            img = cls(src=None, label=label, disable_updates=disable_updates)
+            img._error_comp = ErrorComponent(
                 cls.render_fail_headline("PIL Image Not Parsable"),
                 "%s" % traceback.format_exc(),
             )
+            return img
 
     @classmethod
-    def from_matplotlib(cls, plot, label: Optional[str] = None):
+    def from_matplotlib(
+        cls, plot, label: Optional[str] = None, disable_updates: bool = False
+    ):
         """
         Create an `Image` from a Matplotlib plot.
 
@@ -323,64 +552,62 @@ def from_matplotlib(cls, plot, label: Optional[str] = None):
         label : str, optional
             Optional label for the image.
         """
-        import io
-
         try:
-            try:
-                import matplotlib.pyplot as pyplt
-            except ImportError:
-                return ErrorComponent(
-                    cls.render_fail_headline("Matplotlib cannot be imported"),
-                    "%s" % traceback.format_exc(),
-                )
-            # First check if it is a valid Matplotlib figure.
-            figure = None
-            if _full_classname(plot) == "matplotlib.figure.Figure":
-                figure = plot
-
-            # If it is not valid figure then check if it is matplotlib.axes.Axes or a matplotlib.axes._subplots.AxesSubplot
-            # These contain the `get_figure` function to get the main figure object.
-            if figure is None:
-                if getattr(plot, "get_figure", None) is None:
-                    return ErrorComponent(
-                        cls.render_fail_headline(
-                            "Invalid Type. Object %s is not from `matplotlib`"
-                            % type(plot)
-                        ),
-                        "",
-                    )
-                else:
-                    figure = plot.get_figure()
-
-            task_to_dict = TaskToDict()
-            img_bytes_arr = io.BytesIO()
-            figure.savefig(img_bytes_arr, format="PNG")
-            parsed_image = task_to_dict.parse_image(img_bytes_arr.getvalue())
-            pyplt.close(figure)
+            parsed_image, error_comp = cls._parse_matplotlib(plot)
             if parsed_image is not None:
-                return cls(src=parsed_image, label=label)
-            return ErrorComponent(
-                cls.render_fail_headline("Matplotlib plot's image is not parsable"), ""
-            )
+                img = cls(
+                    src=parsed_image, label=label, disable_updates=disable_updates
+                )
+            else:
+                img = cls(src=None, label=label, disable_updates=disable_updates)
+                img._error_comp = error_comp
+            return img
         except:
             import traceback
 
-            return ErrorComponent(
+            img = cls(src=None, label=label, disable_updates=disable_updates)
+            img._error_comp = ErrorComponent(
                 cls.render_fail_headline("Matplotlib plot's image is not parsable"),
                 "%s" % traceback.format_exc(),
             )
+            return img
 
+    @with_default_component_id
     @render_safely
     def render(self):
         if self._error_comp is not None:
             return self._error_comp.render()
 
         if self._src is not None:
-            return ImageComponent(src=self._src, label=self._label).render()
+            img_comp = ImageComponent(src=self._src, label=self._label)
+            img_comp.component_id = self.component_id
+            return img_comp.render()
         return ErrorComponent(
             self.render_fail_headline("`Image` Component `src` argument is `None`"), ""
         ).render()
 
+    def update(self, image, label=None):
+        """
+        Update the image.
+
+        Parameters
+        ----------
+        image : PIL.Image or matplotlib.figure.Figure or matplotlib.axes.Axes or matplotlib.axes._subplots.AxesSubplot or bytes or str
+            The updated image object
+        label : str, optional
+            Optional label for the image.
+        """
+        if not self.REALTIME_UPDATABLE:
+            msg = (
+                "The `Image` component is disabled for realtime updates. "
+                "Please set `disable_updates` to `False` while creating the `Image` object."
+            )
+            _warning_with_component(self, msg)
+            return
+
+        _label = label if label is not None else self._label
+        self._update_image(image, label=_label)
+
 
 class Error(UserComponent):
     """
@@ -434,9 +661,213 @@ class Markdown(UserComponent):
         Text formatted in Markdown.
     """
 
+    REALTIME_UPDATABLE = True
+
+    def update(self, text=None):
+        self._text = text
+
     def __init__(self, text=None):
         self._text = text
 
+    @with_default_component_id
     @render_safely
     def render(self):
-        return MarkdownComponent(self._text).render()
+        comp = MarkdownComponent(self._text)
+        comp.component_id = self.component_id
+        return comp.render()
+
+
+class ProgressBar(UserComponent):
+    """
+    A Progress bar for tracking progress of any task.
+
+    Example:
+    ```
+    progress_bar = ProgressBar(
+        max=100,
+        label="Progress Bar",
+        value=0,
+        unit="%",
+        metadata="0.1 items/s"
+    )
+    current.card.append(
+        progress_bar
+    )
+    for i in range(100):
+        progress_bar.update(i, metadata="%s items/s" % i)
+
+    ```
+
+    Parameters
+    ----------
+    max : int, default 100
+        The maximum value of the progress bar.
+    label : str, optional, default None
+        Optional label for the progress bar.
+    value : int, default 0
+        Optional initial value of the progress bar.
+    unit : str, optional, default None
+        Optional unit for the progress bar.
+    metadata : str, optional, default None
+        Optional additional information to show on the progress bar.
+    """
+
+    type = "progressBar"
+
+    REALTIME_UPDATABLE = True
+
+    def __init__(
+        self,
+        max: int = 100,
+        label: Optional[str] = None,
+        value: int = 0,
+        unit: Optional[str] = None,
+        metadata: Optional[str] = None,
+    ):
+        self._label = label
+        self._max = max
+        self._value = value
+        self._unit = unit
+        self._metadata = metadata
+
+    def update(self, new_value: int, metadata: Optional[str] = None):
+        self._value = new_value
+        if metadata is not None:
+            self._metadata = metadata
+
+    @with_default_component_id
+    @render_safely
+    def render(self):
+        data = {
+            "type": self.type,
+            "id": self.component_id,
+            "max": self._max,
+            "value": self._value,
+        }
+        if self._label:
+            data["label"] = self._label
+        if self._unit:
+            data["unit"] = self._unit
+        if self._metadata:
+            data["details"] = self._metadata
+        return data
+
+
+class VegaChart(UserComponent):
+    type = "vegaChart"
+
+    REALTIME_UPDATABLE = True
+
+    def __init__(self, spec: dict, show_controls: bool = False):
+        self._spec = spec
+        self._show_controls = show_controls
+        self._chart_inside_table = False
+
+    def update(self, spec=None):
+        """
+        Update the chart.
+
+        Parameters
+        ----------
+        spec : dict or altair.Chart
+            The updated chart spec or an altair Chart Object.
+        """
+        _spec = spec
+        if self._object_is_altair_chart(spec):
+            _spec = spec.to_dict()
+        if _spec is not None:
+            self._spec = _spec
+
+    @staticmethod
+    def _object_is_altair_chart(altair_chart):
+        # This will feel slightly hacky but I am unable to find a natural way of determining the class
+        # name of the Altair chart. The only way simple way is to extract the full class name and then
+        # match with heuristics
+        fulclsname = _full_classname(altair_chart)
+        if not all([x in fulclsname for x in ["altair", "vegalite", "Chart"]]):
+            return False
+        return True
+
+    @classmethod
+    def from_altair_chart(cls, altair_chart):
+        if not cls._object_is_altair_chart(altair_chart):
+            raise ValueError(_full_classname(altair_chart) + " is not an altair chart")
+        altair_chart_dict = altair_chart.to_dict()
+        cht = cls(spec=altair_chart_dict)
+        return cht
+
+    @with_default_component_id
+    @render_safely
+    def render(self):
+        data = {
+            "type": self.type,
+            "id": self.component_id,
+            "spec": self._spec,
+        }
+        if not self._show_controls:
+            data["options"] = {"actions": False}
+        if "width" not in self._spec and not self._chart_inside_table:
+            data["spec"]["width"] = "container"
+        if self._chart_inside_table and "autosize" not in self._spec:
+            data["spec"]["autosize"] = "fit-x"
+        return data
+
+
+class PythonCode(UserComponent):
+    """
+    A component to display Python code with syntax highlighting.
+
+    Example:
+    ```python
+    @card
+    @step
+    def my_step(self):
+        # Using code_func
+        def my_function():
+            x = 1
+            y = 2
+            return x + y
+        current.card.append(
+            PythonCode(my_function)
+        )
+
+        # Using code_string
+        code = '''
+        def another_function():
+            return "Hello World"
+        '''
+        current.card.append(
+            PythonCode(code_string=code)
+        )
+    ```
+
+    Parameters
+    ----------
+    code_func : Callable[..., Any], optional, default None
+        The function whose source code should be displayed.
+    code_string : str, optional, default None
+        A string containing Python code to display.
+        Either code_func or code_string must be provided.
+    """
+
+    def __init__(
+        self,
+        code_func: Optional[Callable[..., Any]] = None,
+        code_string: Optional[str] = None,
+    ):
+        if code_func is not None:
+            self._code_string = inspect.getsource(code_func)
+        else:
+            self._code_string = code_string
+
+    @with_default_component_id
+    @render_safely
+    def render(self):
+        if self._code_string is None:
+            return ErrorComponent(
+                "`PythonCode` component requires a `code_func` or `code_string` argument. ",
+                "None provided for both",
+            ).render()
+        _code_component = PythonCodeComponent(self._code_string)
+        _code_component.component_id = self.component_id
+        return _code_component.render()
diff --git a/metaflow/plugins/cards/card_modules/convert_to_native_type.py b/metaflow/plugins/cards/card_modules/convert_to_native_type.py
index 1033cfd759f..43f8a5f824e 100644
--- a/metaflow/plugins/cards/card_modules/convert_to_native_type.py
+++ b/metaflow/plugins/cards/card_modules/convert_to_native_type.py
@@ -44,7 +44,7 @@ def _full_classname(obj):
 
 
 class TaskToDict:
-    def __init__(self, only_repr=False):
+    def __init__(self, only_repr=False, runtime=False):
         # this dictionary holds all the supported functions
         import reprlib
         import pprint
@@ -59,6 +59,7 @@ def __init__(self, only_repr=False):
         r.maxlist = 100
         r.maxlevel = 3
         self._repr = r
+        self._runtime = runtime
         self._only_repr = only_repr
         self._supported_types = {
             "tuple": self._parse_tuple,
@@ -90,11 +91,16 @@ def __call__(self, task, graph=None):
             stderr=task.stderr,
             stdout=task.stdout,
             created_at=task.created_at.strftime(TIME_FORMAT),
-            finished_at=task.finished_at.strftime(TIME_FORMAT),
+            finished_at=None,
             pathspec=task.pathspec,
             graph=graph,
             data={},
         )
+        if not self._runtime:
+            if task.finished_at is not None:
+                task_dict.update(
+                    dict(finished_at=task.finished_at.strftime(TIME_FORMAT))
+                )
         task_dict["data"], type_infered_objects = self._create_task_data_dict(task)
         task_dict.update(type_infered_objects)
         return task_dict
@@ -137,7 +143,10 @@ def parse_image(self, data_object):
         obj_type_name = self._get_object_type(data_object)
         if obj_type_name == "bytes":
             # Works for python 3.1+
-            import imghdr
+            # Python 3.13 removes the standard ``imghdr`` module. Metaflow
+            # vendors a copy so we can keep using ``what`` to detect image
+            # formats irrespective of the Python version.
+            from metaflow._vendor import imghdr
 
             resp = imghdr.what(None, h=data_object)
             # Only accept types supported on the web
@@ -151,7 +160,7 @@ def _extract_type_infered_object(self, data_object):
         obj_type_name = self._get_object_type(data_object)
         if obj_type_name == "bytes":
             # Works for python 3.1+
-            import imghdr
+            from metaflow._vendor import imghdr
 
             resp = imghdr.what(None, h=data_object)
             # Only accept types supported on the web
@@ -307,10 +316,10 @@ def _parse_pandas_column(column_object):
         # and truncates it to 30 characters.
         # If there is any form of TypeError or ValueError we set the column value to "Unsupported Type"
         # We also set columns which are have null values to "null" strings
-        time_format = "%Y-%m-%dT%H:%M:%SZ"
-        truncate_long_objects = (
-            lambda x: x.astype("string").str.slice(0, 30) + "..."
-            if x.astype("string").str.len().max() > 30
+        time_format = "%Y-%m-%dT%H:%M:%S%Z"
+        truncate_long_objects = lambda x: (
+            x.astype("string").str.slice(0, 30) + "..."
+            if len(x) > 0 and x.astype("string").str.len().max() > 30
             else x.astype("string")
         )
         type_parser = {
@@ -348,12 +357,12 @@ def _match_partial_type():
         try:
             col_type = str(column_object.dtype)
             if col_type in type_parser:
-                return type_parser[col_type](column_object)
+                return type_parser[col_type](column_object.fillna("null"))
             else:
                 parsed_col = _match_partial_type()
                 if parsed_col is not None:
-                    return parsed_col
-            return truncate_long_objects(column_object)
+                    return parsed_col.fillna("null")
+            return truncate_long_objects(column_object.fillna("null"))
         except ValueError as e:
             return "Unsupported type: {0}".format(col_type)
         except TypeError as e:
@@ -365,13 +374,22 @@ def _parse_pandas_dataframe(self, data_object, truncate=True):
         if truncate:
             data = data_object.head()
         index_column = data.index
-        time_format = "%Y-%m-%dT%H:%M:%SZ"
 
-        if "datetime64" in str(index_column.dtype):
-            if index_column.__class__.__name__ == "DatetimeIndex":
-                index_column = index_column.strftime(time_format)
-            else:
-                index_column = index_column.dt.strftime(time_format)
+        # We explicitly cast the `index_column` object to an `Index` or `MultiIndex` having JSON-castable values.
+        if index_column.__class__.__name__ == "MultiIndex":
+            from pandas import MultiIndex
+
+            cols = [
+                self._parse_pandas_column(
+                    index_column.get_level_values(name).to_series()
+                )
+                for name in index_column.names
+            ]
+            index_column = MultiIndex.from_arrays(cols, names=index_column.names)
+        else:
+            from pandas import Index
+
+            index_column = Index(self._parse_pandas_column(index_column.to_series()))
 
         for col in data.columns:
             data[col] = self._parse_pandas_column(data[col])
diff --git a/metaflow/plugins/cards/card_modules/main.js b/metaflow/plugins/cards/card_modules/main.js
index f27bb1f8cc4..ae60a591648 100644
--- a/metaflow/plugins/cards/card_modules/main.js
+++ b/metaflow/plugins/cards/card_modules/main.js
@@ -1,21 +1,254 @@
-var app=function(){"use strict";function t(){}function e(t,e){for(const n in e)t[n]=e[n];return t}function n(t){return t()}function i(){return Object.create(null)}function s(t){t.forEach(n)}function o(t){return"function"==typeof t}function r(t,e){return t!=t?e==e:t!==e||t&&"object"==typeof t||"function"==typeof t}let a,l;function c(t,e){return a||(a=document.createElement("a")),a.href=e,t===a.href}function h(e,n,i){e.$$.on_destroy.push(function(e,...n){if(null==e)return t;const i=e.subscribe(...n);return i.unsubscribe?()=>i.unsubscribe():i}(n,i))}function u(t,e,n,i){if(t){const s=d(t,e,n,i);return t[0](s)}}function d(t,n,i,s){return t[1]&&s?e(i.ctx.slice(),t[1](s(n))):i.ctx}function f(t,e,n,i){if(t[2]&&i){const s=t[2](i(n));if(void 0===e.dirty)return s;if("object"==typeof s){const t=[],n=Math.max(e.dirty.length,s.length);for(let i=0;i32){const e=[],n=t.ctx.length/32;for(let t=0;tt.removeEventListener(e,n,i)}function 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-     */
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a&&a._cacheable&&(s[o]=Object.freeze(l)),l}getSharedOptions(t){if(t.$shared)return this._sharedOptions||(this._sharedOptions=Object.assign({},t))}includeOptions(t,e){return!e||$s(t)||this.chart._animationsDisabled}_getSharedOptions(t,e){const n=this.resolveDataElementOptions(t,e),i=this._sharedOptions,s=this.getSharedOptions(n),o=this.includeOptions(e,s)||s!==i;return this.updateSharedOptions(s,e,n),{sharedOptions:s,includeOptions:o}}updateElement(t,e,n,i){$s(i)?Object.assign(t,n):this._resolveAnimations(e,i).update(t,n)}updateSharedOptions(t,e,n){t&&!$s(e)&&this._resolveAnimations(void 0,e).update(t,n)}_setStyle(t,e,n,i){t.active=i;const s=this.getStyle(e,i);this._resolveAnimations(e,n,i).update(t,{options:!i&&this.getSharedOptions(s)||s})}removeHoverStyle(t,e,n){this._setStyle(t,n,"active",!1)}setHoverStyle(t,e,n){this._setStyle(t,n,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,n=this._cachedMeta.data;for(const[t,e,n]of this._syncList)this[t](e,n);this._syncList=[];const i=n.length,s=e.length,o=Math.min(s,i);o&&this.parse(0,o),s>i?this._insertElements(i,s-i,t):s{for(t.length+=e,r=t.length-1;r>=o;r--)t[r]=t[r-e]};for(a(s),r=t;rt-e)))}return t._cache.$bar}(e,t.type);let i,s,o,r,a=e._length;const l=()=>{32767!==o&&-32768!==o&&(he(r)&&(a=Math.min(a,Math.abs(o-r)||a)),r=o)};for(i=0,s=n.length;iMath.abs(a)&&(l=a,c=r),e[n.axis]=c,e._custom={barStart:l,barEnd:c,start:s,end:o,min:r,max:a}}(t,e,n,i):e[n.axis]=n.parse(t,i),e}function Ss(t,e,n,i){const s=t.iScale,o=t.vScale,r=s.getLabels(),a=s===o,l=[];let c,h,u,d;for(c=n,h=n+i;ct.x,n="left",i="right"):(e=t.baset.controller.options.grouped)),s=n.options.stacked,o=[],r=t=>{const n=t.controller.getParsed(e),i=n&&n[t.vScale.axis];if(Ut(i)||isNaN(i))return!0};for(const n of i)if((void 0===e||!r(n))&&((!1===s||-1===o.indexOf(n.stack)||void 0===s&&void 0===n.stack)&&o.push(n.stack),n.index===t))break;return o.length||o.push(void 0),o}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,n){const i=this._getStacks(t,n),s=void 0!==e?i.indexOf(e):-1;return-1===s?i.length-1:s}_getRuler(){const t=this.options,e=this._cachedMeta,n=e.iScale,i=[];let s,o;for(s=0,o=e.data.length;s=n?1:-1)}(h,e,o)*s,u===o&&(g-=h/2);const t=e.getPixelForDecimal(0),n=e.getPixelForDecimal(1),i=Math.min(t,n),r=Math.max(t,n);g=Math.max(Math.min(g,r),i),c=g+h}if(g===e.getPixelForValue(o)){const t=$e(h)*e.getLineWidthForValue(o)/2;g+=t,h-=t}return{size:h,base:g,head:c,center:c+h/2}}_calculateBarIndexPixels(t,e){const n=e.scale,i=this.options,s=i.skipNull,o=Gt(i.maxBarThickness,1/0);let r,a;if(e.grouped){const n=s?this._getStackCount(t):e.stackCount,l="flex"===i.barThickness?function(t,e,n,i){const s=e.pixels,o=s[t];let r=t>0?s[t-1]:null,a=t=0;--n)e=Math.max(e,t[n].size(this.resolveDataElementOptions(n))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,{xScale:n,yScale:i}=e,s=this.getParsed(t),o=n.getLabelForValue(s.x),r=i.getLabelForValue(s.y),a=s._custom;return{label:e.label,value:"("+o+", "+r+(a?", "+a:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,n,i){const s="reset"===i,{iScale:o,vScale:r}=this._cachedMeta,{sharedOptions:a,includeOptions:l}=this._getSharedOptions(e,i),c=o.axis,h=r.axis;for(let u=e;u""}}}};class Rs extends ws{constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const n=this.getDataset().data,i=this._cachedMeta;if(!1===this._parsing)i._parsed=n;else{let s,o,r=t=>+n[t];if(Yt(n[t])){const{key:t="value"}=this._parsing;r=e=>+le(n[e],t)}for(s=t,o=t+e;sTe(t,a,l,!0)?1:Math.max(e,e*n,i,i*n),p=(t,e,i)=>Te(t,a,l,!0)?-1:Math.min(e,e*n,i,i*n),g=f(0,c,u),m=f(xe,h,d),b=p(fe,c,u),x=p(fe+xe,h,d);i=(g-b)/2,s=(m-x)/2,o=-(g+b)/2,r=-(m+x)/2}return{ratioX:i,ratioY:s,offsetX:o,offsetY:r}}(d,u,a),b=(n.width-o)/f,x=(n.height-o)/p,y=Math.max(Math.min(b,x)/2,0),_=Kt(this.options.radius,y),v=(_-Math.max(_*a,0))/this._getVisibleDatasetWeightTotal();this.offsetX=g*_,this.offsetY=m*_,i.total=this.calculateTotal(),this.outerRadius=_-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*h,0),this.updateElements(s,0,s.length,t)}_circumference(t,e){const n=this.options,i=this._cachedMeta,s=this._getCircumference();return e&&n.animation.animateRotate||!this.chart.getDataVisibility(t)||null===i._parsed[t]||i.data[t].hidden?0:this.calculateCircumference(i._parsed[t]*s/pe)}updateElements(t,e,n,i){const s="reset"===i,o=this.chart,r=o.chartArea,a=o.options.animation,l=(r.left+r.right)/2,c=(r.top+r.bottom)/2,h=s&&a.animateScale,u=h?0:this.innerRadius,d=h?0:this.outerRadius,{sharedOptions:f,includeOptions:p}=this._getSharedOptions(e,i);let g,m=this._getRotation();for(g=0;g0&&!isNaN(t)?pe*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],s=Ki(e._parsed[t],n.options.locale);return{label:i[t]||"",value:s}}getMaxBorderWidth(t){let e=0;const n=this.chart;let i,s,o,r,a;if(!t)for(i=0,s=n.data.datasets.length;i"spacing"!==t,_indexable:t=>"spacing"!==t},Rs.overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:n}}=t.legend.options;return e.labels.map(((e,i)=>{const s=t.getDatasetMeta(0).controller.getStyle(i);return{text:e,fillStyle:s.backgroundColor,strokeStyle:s.borderColor,lineWidth:s.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(i),index:i}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}},tooltip:{callbacks:{title:()=>"",label(t){let e=t.label;const n=": "+t.formattedValue;return qt(e)?(e=e.slice(),e[0]+=n):e+=n,e}}}}};class zs extends ws{initialize(){this.enableOptionSharing=!0,this.supportsDecimation=!0,super.initialize()}update(t){const e=this._cachedMeta,{dataset:n,data:i=[],_dataset:s}=e,o=this.chart._animationsDisabled;let{start:r,count:a}=Ye(e,i,o);this._drawStart=r,this._drawCount=a,Ze(e)&&(r=0,a=i.length),n._chart=this.chart,n._datasetIndex=this.index,n._decimated=!!s._decimated,n.points=i;const l=this.resolveDatasetElementOptions(t);this.options.showLine||(l.borderWidth=0),l.segment=this.options.segment,this.updateElement(n,void 0,{animated:!o,options:l},t),this.updateElements(i,r,a,t)}updateElements(t,e,n,i){const s="reset"===i,{iScale:o,vScale:r,_stacked:a,_dataset:l}=this._cachedMeta,{sharedOptions:c,includeOptions:h}=this._getSharedOptions(e,i),u=o.axis,d=r.axis,{spanGaps:f,segment:p}=this.options,g=we(f)?f:Number.POSITIVE_INFINITY,m=this.chart._animationsDisabled||s||"none"===i;let b=e>0&&this.getParsed(e-1);for(let f=e;f0&&Math.abs(n[u]-b[u])>g,p&&(x.parsed=n,x.raw=l.data[f]),h&&(x.options=c||this.resolveDataElementOptions(f,e.active?"active":i)),m||this.updateElement(e,f,x,i),b=n}}getMaxOverflow(){const t=this._cachedMeta,e=t.dataset,n=e.options&&e.options.borderWidth||0,i=t.data||[];if(!i.length)return n;const s=i[0].size(this.resolveDataElementOptions(0)),o=i[i.length-1].size(this.resolveDataElementOptions(i.length-1));return Math.max(n,s,o)/2}draw(){const t=this._cachedMeta;t.dataset.updateControlPoints(this.chart.chartArea,t.iScale.axis),super.draw()}}zs.id="line",zs.defaults={datasetElementType:"line",dataElementType:"point",showLine:!0,spanGaps:!1},zs.overrides={scales:{_index_:{type:"category"},_value_:{type:"linear"}}};class Is extends ws{constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,n=this.chart,i=n.data.labels||[],s=Ki(e._parsed[t].r,n.options.locale);return{label:i[t]||"",value:s}}parseObjectData(t,e,n,i){return Mi.bind(this)(t,e,n,i)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,n)=>{const i=this.getParsed(n).r;!isNaN(i)&&this.chart.getDataVisibility(n)&&(ie.max&&(e.max=i))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,n=t.options,i=Math.min(e.right-e.left,e.bottom-e.top),s=Math.max(i/2,0),o=(s-Math.max(n.cutoutPercentage?s/100*n.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=s-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,n,i){const s="reset"===i,o=this.chart,r=o.options.animation,a=this._cachedMeta.rScale,l=a.xCenter,c=a.yCenter,h=a.getIndexAngle(0)-.5*fe;let u,d=h;const f=360/this.countVisibleElements();for(u=0;u{!isNaN(this.getParsed(n).r)&&this.chart.getDataVisibility(n)&&e++})),e}_computeAngle(t,e,n){return this.chart.getDataVisibility(t)?Se(this.resolveDataElementOptions(t,e).angle||n):0}}Is.id="polarArea",Is.defaults={dataElementType:"arc",animation:{animateRotate:!0,animateScale:!0},animations:{numbers:{type:"number",properties:["x","y","startAngle","endAngle","innerRadius","outerRadius"]}},indexAxis:"r",startAngle:0},Is.overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:n}}=t.legend.options;return e.labels.map(((e,i)=>{const s=t.getDatasetMeta(0).controller.getStyle(i);return{text:e,fillStyle:s.backgroundColor,strokeStyle:s.borderColor,lineWidth:s.borderWidth,pointStyle:n,hidden:!t.getDataVisibility(i),index:i}}))}return[]}},onClick(t,e,n){n.chart.toggleDataVisibility(e.index),n.chart.update()}},tooltip:{callbacks:{title:()=>"",label:t=>t.chart.data.labels[t.dataIndex]+": "+t.formattedValue}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};class Fs extends Rs{}Fs.id="pie",Fs.defaults={cutout:0,rotation:0,circumference:360,radius:"100%"};class Ns extends ws{getLabelAndValue(t){const e=this._cachedMeta.vScale,n=this.getParsed(t);return{label:e.getLabels()[t],value:""+e.getLabelForValue(n[e.axis])}}parseObjectData(t,e,n,i){return Mi.bind(this)(t,e,n,i)}update(t){const e=this._cachedMeta,n=e.dataset,i=e.data||[],s=e.iScale.getLabels();if(n.points=i,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:s.length===i.length,options:e};this.updateElement(n,void 0,o,t)}this.updateElements(i,0,i.length,t)}updateElements(t,e,n,i){const s=this._cachedMeta.rScale,o="reset"===i;for(let r=e;r{i[t]=n[t]&&n[t].active()?n[t]._to:this[t]})),i}}js.defaults={},js.defaultRoutes=void 0;const Bs={values:t=>qt(t)?t:""+t,numeric(t,e,n){if(0===t)return"0";const i=this.chart.options.locale;let s,o=t;if(n.length>1){const e=Math.max(Math.abs(n[0].value),Math.abs(n[n.length-1].value));(e<1e-4||e>1e15)&&(s="scientific"),o=function(t,e){let n=e.length>3?e[2].value-e[1].value:e[1].value-e[0].value;Math.abs(n)>=1&&t!==Math.floor(t)&&(n=t-Math.floor(t));return n}(t,n)}const r=ve(Math.abs(o)),a=Math.max(Math.min(-1*Math.floor(r),20),0),l={notation:s,minimumFractionDigits:a,maximumFractionDigits:a};return Object.assign(l,this.options.ticks.format),Ki(t,i,l)},logarithmic(t,e,n){if(0===t)return"0";const i=t/Math.pow(10,Math.floor(ve(t)));return 1===i||2===i||5===i?Bs.numeric.call(this,t,e,n):""}};var Vs={formatters:Bs};function Hs(t,e){const n=t.options.ticks,i=n.maxTicksLimit||function(t){const e=t.options.offset,n=t._tickSize(),i=t._length/n+(e?0:1),s=t._maxLength/n;return Math.floor(Math.min(i,s))}(t),s=n.major.enabled?function(t){const e=[];let n,i;for(n=0,i=t.length;ni)return function(t,e,n,i){let s,o=0,r=n[0];for(i=Math.ceil(i),s=0;st-e)).pop(),e}(i);for(let t=0,e=o.length-1;ts)return e}return Math.max(s,1)}(s,e,i);if(o>0){let t,n;const i=o>1?Math.round((a-r)/(o-1)):null;for(Ws(e,l,c,Ut(i)?0:r-i,r),t=0,n=o-1;te.lineWidth,tickColor:(t,e)=>e.color,offset:!1,borderDash:[],borderDashOffset:0,borderWidth:1},title:{display:!1,text:"",padding:{top:4,bottom:4}},ticks:{minRotation:0,maxRotation:50,mirror:!1,textStrokeWidth:0,textStrokeColor:"",padding:3,display:!0,autoSkip:!0,autoSkipPadding:3,labelOffset:0,callback:Vs.formatters.values,minor:{},major:{},align:"center",crossAlign:"near",showLabelBackdrop:!1,backdropColor:"rgba(255, 255, 255, 0.75)",backdropPadding:2}}),Vn.route("scale.ticks","color","","color"),Vn.route("scale.grid","color","","borderColor"),Vn.route("scale.grid","borderColor","","borderColor"),Vn.route("scale.title","color","","color"),Vn.describe("scale",{_fallback:!1,_scriptable:t=>!t.startsWith("before")&&!t.startsWith("after")&&"callback"!==t&&"parser"!==t,_indexable:t=>"borderDash"!==t&&"tickBorderDash"!==t}),Vn.describe("scales",{_fallback:"scale"}),Vn.describe("scale.ticks",{_scriptable:t=>"backdropPadding"!==t&&"callback"!==t,_indexable:t=>"backdropPadding"!==t});const Us=t=>"left"===t?"right":"right"===t?"left":t,qs=(t,e,n)=>"top"===e||"left"===e?t[e]+n:t[e]-n;function Ys(t,e){const n=[],i=t.length/e,s=t.length;let o=0;for(;or+a)))return c}function Xs(t){return t.drawTicks?t.tickLength:0}function Gs(t,e){if(!t.display)return 0;const n=hi(t.font,e),i=ci(t.padding);return(qt(t.text)?t.text.length:1)*n.lineHeight+i.height}function Ks(t,e,n){let i=Ue(t);return(n&&"right"!==e||!n&&"right"===e)&&(i=Us(i)),i}class Js extends js{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:n,_suggestedMax:i}=this;return t=Xt(t,Number.POSITIVE_INFINITY),e=Xt(e,Number.NEGATIVE_INFINITY),n=Xt(n,Number.POSITIVE_INFINITY),i=Xt(i,Number.NEGATIVE_INFINITY),{min:Xt(t,n),max:Xt(e,i),minDefined:Zt(t),maxDefined:Zt(e)}}getMinMax(t){let e,{min:n,max:i,minDefined:s,maxDefined:o}=this.getUserBounds();if(s&&o)return{min:n,max:i};const r=this.getMatchingVisibleMetas();for(let a=0,l=r.length;ai?i:n,i=s&&n>i?n:i,{min:Xt(n,Xt(i,n)),max:Xt(i,Xt(n,i))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){Jt(this.options.beforeUpdate,[this])}update(t,e,n){const{beginAtZero:i,grace:s,ticks:o}=this.options,r=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=n=Object.assign({left:0,right:0,top:0,bottom:0},n),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+n.left+n.right:this.height+n.top+n.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=function(t,e,n){const{min:i,max:s}=t,o=Kt(e,(s-i)/2),r=(t,e)=>n&&0===t?0:t+e;return{min:r(i,-Math.abs(o)),max:r(s,o)}}(this,s,i),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const a=r=s||n<=1||!this.isHorizontal())return void(this.labelRotation=i);const c=this._getLabelSizes(),h=c.widest.width,u=c.highest.height,d=Re(this.chart.width-h,0,this.maxWidth);o=t.offset?this.maxWidth/n:d/(n-1),h+6>o&&(o=d/(n-(t.offset?.5:1)),r=this.maxHeight-Xs(t.grid)-e.padding-Gs(t.title,this.chart.options.font),a=Math.sqrt(h*h+u*u),l=Le(Math.min(Math.asin(Re((c.highest.height+6)/o,-1,1)),Math.asin(Re(r/a,-1,1))-Math.asin(Re(u/a,-1,1)))),l=Math.max(i,Math.min(s,l))),this.labelRotation=l}afterCalculateLabelRotation(){Jt(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){Jt(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:n,title:i,grid:s}}=this,o=this._isVisible(),r=this.isHorizontal();if(o){const 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this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,n){[...e].forEach((e=>{const i=n||this._getRegistryForType(e);n||i.isForType(e)||i===this.plugins&&e.id?this._exec(t,i,e):Qt(e,(e=>{const i=n||this._getRegistryForType(e);this._exec(t,i,e)}))}))}_exec(t,e,n){const i=ce(t);Jt(n["before"+i],[],n),e[t](n),Jt(n["after"+i],[],n)}_getRegistryForType(t){for(let e=0;e0&&this.getParsed(e-1);for(let 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i=t.$proxies||(t.$proxies={}),s={attach:To,detach:Ro,resize:No}[e]||Bo;i[e]=s(t,e,n)}removeEventListener(t,e){const n=t.$proxies||(t.$proxies={}),i=n[e];if(!i)return;({attach:jo,detach:jo,resize:jo}[e]||Ao)(t,e,i),n[e]=void 0}getDevicePixelRatio(){return window.devicePixelRatio}getMaximumSize(t,e,n,i){return Hi(t,e,n,i)}isAttached(t){const e=Ri(t);return!(!e||!e.isConnected)}}class Ho{constructor(){this._init=[]}notify(t,e,n,i){"beforeInit"===e&&(this._init=this._createDescriptors(t,!0),this._notify(this._init,t,"install"));const s=i?this._descriptors(t).filter(i):this._descriptors(t),o=this._notify(s,t,e,n);return"afterDestroy"===e&&(this._notify(s,t,"stop"),this._notify(this._init,t,"uninstall")),o}_notify(t,e,n,i){i=i||{};for(const s of t){const t=s.plugin;if(!1===Jt(t[n],[e,i,s.options],t)&&i.cancelable)return!1}return!0}invalidate(){Ut(this._cache)||(this._oldCache=this._cache,this._cache=void 0)}_descriptors(t){if(this._cache)return this._cache;const 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n=Fn[t.type]||{scales:{}},i=e.scales||{},s=qo(t.type,e),o=Object.create(null),r=Object.create(null);return Object.keys(i).forEach((t=>{const e=i[t];if(!Yt(e))return console.error(`Invalid scale configuration for scale: ${t}`);if(e._proxy)return console.warn(`Ignoring resolver passed as options for scale: ${t}`);const a=Yo(t,e),l=function(t,e){return t===e?"_index_":"_value_"}(a,s),c=n.scales||{};o[a]=o[a]||t,r[t]=oe(Object.create(null),[{axis:a},e,c[a],c[l]])})),t.data.datasets.forEach((n=>{const s=n.type||t.type,a=n.indexAxis||qo(s,e),l=(Fn[s]||{}).scales||{};Object.keys(l).forEach((t=>{const e=function(t,e){let n=t;return"_index_"===t?n=e:"_value_"===t&&(n="x"===e?"y":"x"),n}(t,a),s=n[e+"AxisID"]||o[e]||e;r[s]=r[s]||Object.create(null),oe(r[s],[{axis:e},i[s],l[t]])}))})),Object.keys(r).forEach((t=>{const e=r[t];oe(e,[Vn.scales[e.type],Vn.scale])})),r}(t,e)}function Xo(t){return(t=t||{}).datasets=t.datasets||[],t.labels=t.labels||[],t}const Go=new Map,Ko=new Set;function Jo(t,e){let n=Go.get(t);return n||(n=e(),Go.set(t,n),Ko.add(n)),n}const Qo=(t,e,n)=>{const i=le(e,n);void 0!==i&&t.add(i)};class tr{constructor(t){this._config=function(t){return(t=t||{}).data=Xo(t.data),Zo(t),t}(t),this._scopeCache=new Map,this._resolverCache=new Map}get platform(){return this._config.platform}get type(){return this._config.type}set type(t){this._config.type=t}get data(){return this._config.data}set data(t){this._config.data=Xo(t)}get options(){return this._config.options}set options(t){this._config.options=t}get plugins(){return this._config.plugins}update(){const t=this._config;this.clearCache(),Zo(t)}clearCache(){this._scopeCache.clear(),this._resolverCache.clear()}datasetScopeKeys(t){return Jo(t,(()=>[[`datasets.${t}`,""]]))}datasetAnimationScopeKeys(t,e){return Jo(`${t}.transition.${e}`,(()=>[[`datasets.${t}.transitions.${e}`,`transitions.${e}`],[`datasets.${t}`,""]]))}datasetElementScopeKeys(t,e){return Jo(`${t}-${e}`,(()=>[[`datasets.${t}.elements.${e}`,`datasets.${t}`,`elements.${e}`,""]]))}pluginScopeKeys(t){const e=t.id;return Jo(`${this.type}-plugin-${e}`,(()=>[[`plugins.${e}`,...t.additionalOptionScopes||[]]]))}_cachedScopes(t,e){const n=this._scopeCache;let i=n.get(t);return i&&!e||(i=new Map,n.set(t,i)),i}getOptionScopes(t,e,n){const{options:i,type:s}=this,o=this._cachedScopes(t,n),r=o.get(e);if(r)return r;const a=new Set;e.forEach((e=>{t&&(a.add(t),e.forEach((e=>Qo(a,t,e)))),e.forEach((t=>Qo(a,i,t))),e.forEach((t=>Qo(a,Fn[s]||{},t))),e.forEach((t=>Qo(a,Vn,t))),e.forEach((t=>Qo(a,Nn,t)))}));const l=Array.from(a);return 0===l.length&&l.push(Object.create(null)),Ko.has(e)&&o.set(e,l),l}chartOptionScopes(){const{options:t,type:e}=this;return[t,Fn[e]||{},Vn.datasets[e]||{},{type:e},Vn,Nn]}resolveNamedOptions(t,e,n,i=[""]){const s={$shared:!0},{resolver:o,subPrefixes:r}=er(this._resolverCache,t,i);let a=o;if(function(t,e){const{isScriptable:n,isIndexable:i}=gi(t);for(const s of e){const e=n(s),o=i(s),r=(o||e)&&t[s];if(e&&(ue(r)||nr(r))||o&&qt(r))return!0}return!1}(o,e)){s.$shared=!1;a=pi(o,n=ue(n)?n():n,this.createResolver(t,n,r))}for(const t of e)s[t]=a[t];return s}createResolver(t,e,n=[""],i){const{resolver:s}=er(this._resolverCache,t,n);return Yt(e)?pi(s,e,void 0,i):s}}function er(t,e,n){let i=t.get(e);i||(i=new Map,t.set(e,i));const s=n.join();let o=i.get(s);if(!o){o={resolver:fi(e,n),subPrefixes:n.filter((t=>!t.toLowerCase().includes("hover")))},i.set(s,o)}return o}const nr=t=>Yt(t)&&Object.getOwnPropertyNames(t).reduce(((e,n)=>e||ue(t[n])),!1);const ir=["top","bottom","left","right","chartArea"];function sr(t,e){return"top"===t||"bottom"===t||-1===ir.indexOf(t)&&"x"===e}function or(t,e){return function(n,i){return n[t]===i[t]?n[e]-i[e]:n[t]-i[t]}}function rr(t){const e=t.chart,n=e.options.animation;e.notifyPlugins("afterRender"),Jt(n&&n.onComplete,[t],e)}function ar(t){const e=t.chart,n=e.options.animation;Jt(n&&n.onProgress,[t],e)}function lr(t){return Ti()&&"string"==typeof t?t=document.getElementById(t):t&&t.length&&(t=t[0]),t&&t.canvas&&(t=t.canvas),t}const cr={},hr=t=>{const e=lr(t);return Object.values(cr).filter((t=>t.canvas===e)).pop()};function ur(t,e,n){const i=Object.keys(t);for(const s of i){const i=+s;if(i>=e){const o=t[s];delete t[s],(n>0||i>e)&&(t[i+n]=o)}}}class dr{constructor(t,e){const n=this.config=new tr(e),i=lr(t),s=hr(i);if(s)throw new Error("Canvas is already in use. Chart with ID '"+s.id+"' must be destroyed before the canvas with ID '"+s.canvas.id+"' can be reused.");const o=n.createResolver(n.chartOptionScopes(),this.getContext());this.platform=new(n.platform||function(t){return!Ti()||"undefined"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas?So:Vo}(i)),this.platform.updateConfig(n);const r=this.platform.acquireContext(i,o.aspectRatio),a=r&&r.canvas,l=a&&a.height,c=a&&a.width;this.id=Wt(),this.ctx=r,this.canvas=a,this.width=c,this.height=l,this._options=o,this._aspectRatio=this.aspectRatio,this._layers=[],this._metasets=[],this._stacks=void 0,this.boxes=[],this.currentDevicePixelRatio=void 0,this.chartArea=void 0,this._active=[],this._lastEvent=void 0,this._listeners={},this._responsiveListeners=void 0,this._sortedMetasets=[],this.scales={},this._plugins=new Ho,this.$proxies={},this._hiddenIndices={},this.attached=!1,this._animationsDisabled=void 0,this.$context=void 0,this._doResize=function(t,e){let n;return function(...i){return e?(clearTimeout(n),n=setTimeout(t,e,i)):t.apply(this,i),e}}((t=>this.update(t)),o.resizeDelay||0),this._dataChanges=[],cr[this.id]=this,r&&a?(as.listen(this,"complete",rr),as.listen(this,"progress",ar),this._initialize(),this.attached&&this.update()):console.error("Failed to create chart: can't acquire context from the given item")}get aspectRatio(){const{options:{aspectRatio:t,maintainAspectRatio:e},width:n,height:i,_aspectRatio:s}=this;return Ut(t)?e&&s?s:i?n/i:null:t}get data(){return this.config.data}set data(t){this.config.data=t}get options(){return this._options}set options(t){this.config.options=t}_initialize(){return this.notifyPlugins("beforeInit"),this.options.responsive?this.resize():Wi(this,this.options.devicePixelRatio),this.bindEvents(),this.notifyPlugins("afterInit"),this}clear(){return qn(this.canvas,this.ctx),this}stop(){return as.stop(this),this}resize(t,e){as.running(this)?this._resizeBeforeDraw={width:t,height:e}:this._resize(t,e)}_resize(t,e){const n=this.options,i=this.canvas,s=n.maintainAspectRatio&&this.aspectRatio,o=this.platform.getMaximumSize(i,t,e,s),r=n.devicePixelRatio||this.platform.getDevicePixelRatio(),a=this.width?"resize":"attach";this.width=o.width,this.height=o.height,this._aspectRatio=this.aspectRatio,Wi(this,r,!0)&&(this.notifyPlugins("resize",{size:o}),Jt(n.onResize,[this,o],this),this.attached&&this._doResize(a)&&this.render())}ensureScalesHaveIDs(){Qt(this.options.scales||{},((t,e)=>{t.id=e}))}buildOrUpdateScales(){const t=this.options,e=t.scales,n=this.scales,i=Object.keys(n).reduce(((t,e)=>(t[e]=!1,t)),{});let s=[];e&&(s=s.concat(Object.keys(e).map((t=>{const n=e[t],i=Yo(t,n),s="r"===i,o="x"===i;return{options:n,dposition:s?"chartArea":o?"bottom":"left",dtype:s?"radialLinear":o?"category":"linear"}})))),Qt(s,(e=>{const s=e.options,o=s.id,r=Yo(o,s),a=Gt(s.type,e.dtype);void 0!==s.position&&sr(s.position,r)===sr(e.dposition)||(s.position=e.dposition),i[o]=!0;let l=null;if(o in n&&n[o].type===a)l=n[o];else{l=new(to.getScale(a))({id:o,type:a,ctx:this.ctx,chart:this}),n[l.id]=l}l.init(s,t)})),Qt(i,((t,e)=>{t||delete n[e]})),Qt(n,(t=>{Co.configure(this,t,t.options),Co.addBox(this,t)}))}_updateMetasets(){const t=this._metasets,e=this.data.datasets.length,n=t.length;if(t.sort(((t,e)=>t.index-e.index)),n>e){for(let t=e;te.length&&delete this._stacks,t.forEach(((t,n)=>{0===e.filter((e=>e===t._dataset)).length&&this._destroyDatasetMeta(n)}))}buildOrUpdateControllers(){const t=[],e=this.data.datasets;let n,i;for(this._removeUnreferencedMetasets(),n=0,i=e.length;n{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const n=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),i=this._animationsDisabled=!n.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const s=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(or("z","_idx"));const{_active:r,_lastEvent:a}=this;a?this._eventHandler(a,!0):r.length&&this._updateHoverStyles(r,r,!0),this.render()}_updateScales(){Qt(this.scales,(t=>{Co.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),n=new Set(t.events);de(e,n)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:n,start:i,count:s}of e){ur(t,i,"_removeElements"===n?-s:s)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,n=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),i=n(0);for(let t=1;tt.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;Co.update(this,this.width,this.height,t);const e=this.chartArea,n=e.width<=0||e.height<=0;this._layers=[],Qt(this.boxes,(t=>{n&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,n=t._clip,i=!n.disabled,s=this.chartArea,o={meta:t,index:t.index,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetDraw",o)&&(i&&Xn(e,{left:!1===n.left?0:s.left-n.left,right:!1===n.right?this.width:s.right+n.right,top:!1===n.top?0:s.top-n.top,bottom:!1===n.bottom?this.height:s.bottom+n.bottom}),t.controller.draw(),i&&Gn(e),o.cancelable=!1,this.notifyPlugins("afterDatasetDraw",o))}isPointInArea(t){return Zn(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,n,i){const s=uo.modes[e];return"function"==typeof s?s(this,t,n,i):[]}getDatasetMeta(t){const e=this.data.datasets[t],n=this._metasets;let i=n.filter((t=>t&&t._dataset===e)).pop();return i||(i={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},n.push(i)),i}getContext(){return this.$context||(this.$context=di(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const n=this.getDatasetMeta(t);return"boolean"==typeof n.hidden?!n.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,n){const i=n?"show":"hide",s=this.getDatasetMeta(t),o=s.controller._resolveAnimations(void 0,i);he(e)?(s.data[e].hidden=!n,this.update()):(this.setDatasetVisibility(t,n),o.update(s,{visible:n}),this.update((e=>e.datasetIndex===t?i:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),as.remove(this),t=0,e=this.data.datasets.length;t{e.addEventListener(this,n,i),t[n]=i},i=(t,e,n)=>{t.offsetX=e,t.offsetY=n,this._eventHandler(t)};Qt(this.options.events,(t=>n(t,i)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,n=(n,i)=>{e.addEventListener(this,n,i),t[n]=i},i=(n,i)=>{t[n]&&(e.removeEventListener(this,n,i),delete t[n])},s=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const r=()=>{i("attach",r),this.attached=!0,this.resize(),n("resize",s),n("detach",o)};o=()=>{this.attached=!1,i("resize",s),this._stop(),this._resize(0,0),n("attach",r)},e.isAttached(this.canvas)?r():o()}unbindEvents(){Qt(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},Qt(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,n){const i=n?"set":"remove";let s,o,r,a;for("dataset"===e&&(s=this.getDatasetMeta(t[0].datasetIndex),s.controller["_"+i+"DatasetHoverStyle"]()),r=0,a=t.length;r{const n=this.getDatasetMeta(t);if(!n)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:n.data[e],index:e}}));!te(n,e)&&(this._active=n,this._lastEvent=null,this._updateHoverStyles(n,e))}notifyPlugins(t,e,n){return this._plugins.notify(this,t,e,n)}_updateHoverStyles(t,e,n){const i=this.options.hover,s=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=s(e,t),r=n?t:s(t,e);o.length&&this.updateHoverStyle(o,i.mode,!1),r.length&&i.mode&&this.updateHoverStyle(r,i.mode,!0)}_eventHandler(t,e){const n={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},i=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",n,i))return;const s=this._handleEvent(t,e,n.inChartArea);return n.cancelable=!1,this.notifyPlugins("afterEvent",n,i),(s||n.changed)&&this.render(),this}_handleEvent(t,e,n){const{_active:i=[],options:s}=this,o=e,r=this._getActiveElements(t,i,n,o),a=function(t){return"mouseup"===t.type||"click"===t.type||"contextmenu"===t.type}(t),l=function(t,e,n,i){return n&&"mouseout"!==t.type?i?e:t:null}(t,this._lastEvent,n,a);n&&(this._lastEvent=null,Jt(s.onHover,[t,r,this],this),a&&Jt(s.onClick,[t,r,this],this));const c=!te(r,i);return(c||e)&&(this._active=r,this._updateHoverStyles(r,i,e)),this._lastEvent=l,c}_getActiveElements(t,e,n,i){if("mouseout"===t.type)return[];if(!n)return e;const s=this.options.hover;return this.getElementsAtEventForMode(t,s.mode,s,i)}}const fr=()=>Qt(dr.instances,(t=>t._plugins.invalidate())),pr=!0;function gr(t,e,n){const{startAngle:i,pixelMargin:s,x:o,y:r,outerRadius:a,innerRadius:l}=e;let c=s/a;t.beginPath(),t.arc(o,r,a,i-c,n+c),l>s?(c=s/l,t.arc(o,r,l,n+c,i-c,!0)):t.arc(o,r,s,n+xe,i-xe),t.closePath(),t.clip()}function mr(t,e,n,i){const s=ri(t.options.borderRadius,["outerStart","outerEnd","innerStart","innerEnd"]);const o=(n-e)/2,r=Math.min(o,i*e/2),a=t=>{const e=(n-Math.min(o,t))*i/2;return Re(t,0,Math.min(o,e))};return{outerStart:a(s.outerStart),outerEnd:a(s.outerEnd),innerStart:Re(s.innerStart,0,r),innerEnd:Re(s.innerEnd,0,r)}}function br(t,e,n,i){return{x:n+t*Math.cos(e),y:i+t*Math.sin(e)}}function xr(t,e,n,i,s,o){const{x:r,y:a,startAngle:l,pixelMargin:c,innerRadius:h}=e,u=Math.max(e.outerRadius+i+n-c,0),d=h>0?h+i+n+c:0;let f=0;const p=s-l;if(i){const t=((h>0?h-i:0)+(u>0?u-i:0))/2;f=(p-(0!==t?p*t/(t+i):p))/2}const g=(p-Math.max(.001,p*u-n/fe)/u)/2,m=l+g+f,b=s-g-f,{outerStart:x,outerEnd:y,innerStart:_,innerEnd:v}=mr(e,d,u,b-m),$=u-x,k=u-y,w=m+x/$,C=b-y/k,M=d+_,S=d+v,L=m+_/M,D=b-v/S;if(t.beginPath(),o){if(t.arc(r,a,u,w,C),y>0){const e=br(k,C,r,a);t.arc(e.x,e.y,y,C,b+xe)}const e=br(S,b,r,a);if(t.lineTo(e.x,e.y),v>0){const e=br(S,D,r,a);t.arc(e.x,e.y,v,b+xe,D+Math.PI)}if(t.arc(r,a,d,b-v/d,m+_/d,!0),_>0){const e=br(M,L,r,a);t.arc(e.x,e.y,_,L+Math.PI,m-xe)}const n=br($,m,r,a);if(t.lineTo(n.x,n.y),x>0){const e=br($,w,r,a);t.arc(e.x,e.y,x,m-xe,w)}}else{t.moveTo(r,a);const e=Math.cos(w)*u+r,n=Math.sin(w)*u+a;t.lineTo(e,n);const i=Math.cos(C)*u+r,s=Math.sin(C)*u+a;t.lineTo(i,s)}t.closePath()}function yr(t,e,n,i,s,o){const{options:r}=e,{borderWidth:a,borderJoinStyle:l}=r,c="inner"===r.borderAlign;a&&(c?(t.lineWidth=2*a,t.lineJoin=l||"round"):(t.lineWidth=a,t.lineJoin=l||"bevel"),e.fullCircles&&function(t,e,n){const{x:i,y:s,startAngle:o,pixelMargin:r,fullCircles:a}=e,l=Math.max(e.outerRadius-r,0),c=e.innerRadius+r;let h;for(n&&gr(t,e,o+pe),t.beginPath(),t.arc(i,s,c,o+pe,o,!0),h=0;h{to.add(...t),fr()}},unregister:{enumerable:pr,value:(...t)=>{to.remove(...t),fr()}}});class _r extends js{constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,n){const i=this.getProps(["x","y"],n),{angle:s,distance:o}=Pe(i,{x:t,y:e}),{startAngle:r,endAngle:a,innerRadius:l,outerRadius:c,circumference:h}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],n),u=this.options.spacing/2,d=Gt(h,a-r)>=pe||Te(s,r,a),f=ze(o,l+u,c+u);return d&&f}getCenterPoint(t){const{x:e,y:n,startAngle:i,endAngle:s,innerRadius:o,outerRadius:r}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius","circumference"],t),{offset:a,spacing:l}=this.options,c=(i+s)/2,h=(o+r+l+a)/2;return{x:e+Math.cos(c)*h,y:n+Math.sin(c)*h}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:n}=this,i=(e.offset||0)/2,s=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=n>pe?Math.floor(n/pe):0,0===n||this.innerRadius<0||this.outerRadius<0)return;t.save();let r=0;if(i){r=i/2;const e=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(e)*r,Math.sin(e)*r),this.circumference>=fe&&(r=i)}t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor;const a=function(t,e,n,i,s){const{fullCircles:o,startAngle:r,circumference:a}=e;let l=e.endAngle;if(o){xr(t,e,n,i,r+pe,s);for(let e=0;ea&&o>a;return{count:i,start:l,loop:e.loop,ilen:c(r+(c?a-t:t))%o,y=()=>{f!==p&&(t.lineTo(m,p),t.lineTo(m,f),t.lineTo(m,g))};for(l&&(u=s[x(0)],t.moveTo(u.x,u.y)),h=0;h<=a;++h){if(u=s[x(h)],u.skip)continue;const e=u.x,n=u.y,i=0|e;i===d?(np&&(p=n),m=(b*m+e)/++b):(y(),t.lineTo(e,n),d=i,b=0,f=p=n),g=n}y()}function Mr(t){const e=t.options,n=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||n)?Cr:wr}_r.id="arc",_r.defaults={borderAlign:"center",borderColor:"#fff",borderJoinStyle:void 0,borderRadius:0,borderWidth:2,offset:0,spacing:0,angle:void 0,circular:!0},_r.defaultRoutes={backgroundColor:"backgroundColor"};const Sr="function"==typeof Path2D;function Lr(t,e,n,i){Sr&&!e.options.segment?function(t,e,n,i){let s=e._path;s||(s=e._path=new Path2D,e.path(s,n,i)&&s.closePath()),vr(t,e.options),t.stroke(s)}(t,e,n,i):function(t,e,n,i){const{segments:s,options:o}=e,r=Mr(e);for(const a of s)vr(t,o,a.style),t.beginPath(),r(t,e,a,{start:n,end:n+i-1})&&t.closePath(),t.stroke()}(t,e,n,i)}class Dr extends js{constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const n=this.options;if((n.tension||"monotone"===n.cubicInterpolationMode)&&!n.stepped&&!this._pointsUpdated){const i=n.spanGaps?this._loop:this._fullLoop;Ei(this._points,n,t,i,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=function(t,e){const n=t.points,i=t.options.spanGaps,s=n.length;if(!s)return[];const o=!!t._loop,{start:r,end:a}=function(t,e,n,i){let s=0,o=e-1;if(n&&!i)for(;ss&&t[o%e].skip;)o--;return o%=e,{start:s,end:o}}(n,s,o,i);return ss(t,!0===i?[{start:r,end:a,loop:o}]:function(t,e,n,i){const s=t.length,o=[];let r,a=e,l=t[e];for(r=e+1;r<=n;++r){const n=t[r%s];n.skip||n.stop?l.skip||(i=!1,o.push({start:e%s,end:(r-1)%s,loop:i}),e=a=n.stop?r:null):(a=r,l.skip&&(e=r)),l=n}return null!==a&&o.push({start:e%s,end:a%s,loop:i}),o}(n,r,a"borderDash"!==t&&"fill"!==t};class Or extends js{constructor(t){super(),this.options=void 0,this.parsed=void 0,this.skip=void 0,this.stop=void 0,t&&Object.assign(this,t)}inRange(t,e,n){const i=this.options,{x:s,y:o}=this.getProps(["x","y"],n);return Math.pow(t-s,2)+Math.pow(e-o,2)-1?t.split("\n"):t}function Vr(t,e){const{element:n,datasetIndex:i,index:s}=e,o=t.getDatasetMeta(i).controller,{label:r,value:a}=o.getLabelAndValue(s);return{chart:t,label:r,parsed:o.getParsed(s),raw:t.data.datasets[i].data[s],formattedValue:a,dataset:o.getDataset(),dataIndex:s,datasetIndex:i,element:n}}function Hr(t,e){const n=t.chart.ctx,{body:i,footer:s,title:o}=t,{boxWidth:r,boxHeight:a}=e,l=hi(e.bodyFont),c=hi(e.titleFont),h=hi(e.footerFont),u=o.length,d=s.length,f=i.length,p=ci(e.padding);let g=p.height,m=0,b=i.reduce(((t,e)=>t+e.before.length+e.lines.length+e.after.length),0);if(b+=t.beforeBody.length+t.afterBody.length,u&&(g+=u*c.lineHeight+(u-1)*e.titleSpacing+e.titleMarginBottom),b){g+=f*(e.displayColors?Math.max(a,l.lineHeight):l.lineHeight)+(b-f)*l.lineHeight+(b-1)*e.bodySpacing}d&&(g+=e.footerMarginTop+d*h.lineHeight+(d-1)*e.footerSpacing);let x=0;const y=function(t){m=Math.max(m,n.measureText(t).width+x)};return n.save(),n.font=c.string,Qt(t.title,y),n.font=l.string,Qt(t.beforeBody.concat(t.afterBody),y),x=e.displayColors?r+2+e.boxPadding:0,Qt(i,(t=>{Qt(t.before,y),Qt(t.lines,y),Qt(t.after,y)})),x=0,n.font=h.string,Qt(t.footer,y),n.restore(),m+=p.width,{width:m,height:g}}function Wr(t,e,n,i){const{x:s,width:o}=n,{width:r,chartArea:{left:a,right:l}}=t;let c="center";return"center"===i?c=s<=(a+l)/2?"left":"right":s<=o/2?c="left":s>=r-o/2&&(c="right"),function(t,e,n,i){const{x:s,width:o}=i,r=n.caretSize+n.caretPadding;return"left"===t&&s+o+r>e.width||"right"===t&&s-o-r<0||void 0}(c,t,e,n)&&(c="center"),c}function Ur(t,e,n){const i=n.yAlign||e.yAlign||function(t,e){const{y:n,height:i}=e;return nt.height-i/2?"bottom":"center"}(t,n);return{xAlign:n.xAlign||e.xAlign||Wr(t,e,n,i),yAlign:i}}function qr(t,e,n,i){const{caretSize:s,caretPadding:o,cornerRadius:r}=t,{xAlign:a,yAlign:l}=n,c=s+o,{topLeft:h,topRight:u,bottomLeft:d,bottomRight:f}=li(r);let p=function(t,e){let{x:n,width:i}=t;return"right"===e?n-=i:"center"===e&&(n-=i/2),n}(e,a);const g=function(t,e,n){let{y:i,height:s}=t;return"top"===e?i+=n:i-="bottom"===e?s+n:s/2,i}(e,l,c);return"center"===l?"left"===a?p+=c:"right"===a&&(p-=c):"left"===a?p-=Math.max(h,d)+s:"right"===a&&(p+=Math.max(u,f)+s),{x:Re(p,0,i.width-e.width),y:Re(g,0,i.height-e.height)}}function Yr(t,e,n){const i=ci(n.padding);return"center"===e?t.x+t.width/2:"right"===e?t.x+t.width-i.right:t.x+i.left}function Zr(t){return jr([],Br(t))}function Xr(t,e){const n=e&&e.dataset&&e.dataset.tooltip&&e.dataset.tooltip.callbacks;return n?t.override(n):t}(class extends js{constructor(t){super(),this.opacity=0,this._active=[],this._eventPosition=void 0,this._size=void 0,this._cachedAnimations=void 0,this._tooltipItems=[],this.$animations=void 0,this.$context=void 0,this.chart=t.chart||t._chart,this._chart=this.chart,this.options=t.options,this.dataPoints=void 0,this.title=void 0,this.beforeBody=void 0,this.body=void 0,this.afterBody=void 0,this.footer=void 0,this.xAlign=void 0,this.yAlign=void 0,this.x=void 0,this.y=void 0,this.height=void 0,this.width=void 0,this.caretX=void 0,this.caretY=void 0,this.labelColors=void 0,this.labelPointStyles=void 0,this.labelTextColors=void 0}initialize(t){this.options=t,this._cachedAnimations=void 0,this.$context=void 0}_resolveAnimations(){const t=this._cachedAnimations;if(t)return t;const e=this.chart,n=this.options.setContext(this.getContext()),i=n.enabled&&e.options.animation&&n.animations,s=new ds(this.chart,i);return i._cacheable&&(this._cachedAnimations=Object.freeze(s)),s}getContext(){return this.$context||(this.$context=(t=this.chart.getContext(),e=this,n=this._tooltipItems,di(t,{tooltip:e,tooltipItems:n,type:"tooltip"})));var t,e,n}getTitle(t,e){const{callbacks:n}=e,i=n.beforeTitle.apply(this,[t]),s=n.title.apply(this,[t]),o=n.afterTitle.apply(this,[t]);let r=[];return r=jr(r,Br(i)),r=jr(r,Br(s)),r=jr(r,Br(o)),r}getBeforeBody(t,e){return Zr(e.callbacks.beforeBody.apply(this,[t]))}getBody(t,e){const{callbacks:n}=e,i=[];return Qt(t,(t=>{const e={before:[],lines:[],after:[]},s=Xr(n,t);jr(e.before,Br(s.beforeLabel.call(this,t))),jr(e.lines,s.label.call(this,t)),jr(e.after,Br(s.afterLabel.call(this,t))),i.push(e)})),i}getAfterBody(t,e){return Zr(e.callbacks.afterBody.apply(this,[t]))}getFooter(t,e){const{callbacks:n}=e,i=n.beforeFooter.apply(this,[t]),s=n.footer.apply(this,[t]),o=n.afterFooter.apply(this,[t]);let r=[];return r=jr(r,Br(i)),r=jr(r,Br(s)),r=jr(r,Br(o)),r}_createItems(t){const e=this._active,n=this.chart.data,i=[],s=[],o=[];let r,a,l=[];for(r=0,a=e.length;rt.filter(e,i,s,n)))),t.itemSort&&(l=l.sort(((e,i)=>t.itemSort(e,i,n)))),Qt(l,(e=>{const n=Xr(t.callbacks,e);i.push(n.labelColor.call(this,e)),s.push(n.labelPointStyle.call(this,e)),o.push(n.labelTextColor.call(this,e))})),this.labelColors=i,this.labelPointStyles=s,this.labelTextColors=o,this.dataPoints=l,l}update(t,e){const n=this.options.setContext(this.getContext()),i=this._active;let s,o=[];if(i.length){const t=Nr[n.position].call(this,i,this._eventPosition);o=this._createItems(n),this.title=this.getTitle(o,n),this.beforeBody=this.getBeforeBody(o,n),this.body=this.getBody(o,n),this.afterBody=this.getAfterBody(o,n),this.footer=this.getFooter(o,n);const e=this._size=Hr(this,n),r=Object.assign({},t,e),a=Ur(this.chart,n,r),l=qr(n,r,a,this.chart);this.xAlign=a.xAlign,this.yAlign=a.yAlign,s={opacity:1,x:l.x,y:l.y,width:e.width,height:e.height,caretX:t.x,caretY:t.y}}else 0!==this.opacity&&(s={opacity:0});this._tooltipItems=o,this.$context=void 0,s&&this._resolveAnimations().update(this,s),t&&n.external&&n.external.call(this,{chart:this.chart,tooltip:this,replay:e})}drawCaret(t,e,n,i){const s=this.getCaretPosition(t,n,i);e.lineTo(s.x1,s.y1),e.lineTo(s.x2,s.y2),e.lineTo(s.x3,s.y3)}getCaretPosition(t,e,n){const{xAlign:i,yAlign:s}=this,{caretSize:o,cornerRadius:r}=n,{topLeft:a,topRight:l,bottomLeft:c,bottomRight:h}=li(r),{x:u,y:d}=t,{width:f,height:p}=e;let g,m,b,x,y,_;return"center"===s?(y=d+p/2,"left"===i?(g=u,m=g-o,x=y+o,_=y-o):(g=u+f,m=g+o,x=y-o,_=y+o),b=g):(m="left"===i?u+Math.max(a,c)+o:"right"===i?u+f-Math.max(l,h)-o:this.caretX,"top"===s?(x=d,y=x-o,g=m-o,b=m+o):(x=d+p,y=x+o,g=m+o,b=m-o),_=x),{x1:g,x2:m,x3:b,y1:x,y2:y,y3:_}}drawTitle(t,e,n){const i=this.title,s=i.length;let o,r,a;if(s){const l=ts(n.rtl,this.x,this.width);for(t.x=Yr(this,n.titleAlign,n),e.textAlign=l.textAlign(n.titleAlign),e.textBaseline="middle",o=hi(n.titleFont),r=n.titleSpacing,e.fillStyle=n.titleColor,e.font=o.string,a=0;a0!==t))?(t.beginPath(),t.fillStyle=s.multiKeyBackground,ei(t,{x:e,y:p,w:l,h:a,radius:r}),t.fill(),t.stroke(),t.fillStyle=o.backgroundColor,t.beginPath(),ei(t,{x:n,y:p+1,w:l-2,h:a-2,radius:r}),t.fill()):(t.fillStyle=s.multiKeyBackground,t.fillRect(e,p,l,a),t.strokeRect(e,p,l,a),t.fillStyle=o.backgroundColor,t.fillRect(n,p+1,l-2,a-2))}t.fillStyle=this.labelTextColors[n]}drawBody(t,e,n){const{body:i}=this,{bodySpacing:s,bodyAlign:o,displayColors:r,boxHeight:a,boxWidth:l,boxPadding:c}=n,h=hi(n.bodyFont);let u=h.lineHeight,d=0;const f=ts(n.rtl,this.x,this.width),p=function(n){e.fillText(n,f.x(t.x+d),t.y+u/2),t.y+=u+s},g=f.textAlign(o);let m,b,x,y,_,v,$;for(e.textAlign=o,e.textBaseline="middle",e.font=h.string,t.x=Yr(this,g,n),e.fillStyle=n.bodyColor,Qt(this.beforeBody,p),d=r&&"right"!==g?"center"===o?l/2+c:l+2+c:0,y=0,v=i.length;y0&&e.stroke()}_updateAnimationTarget(t){const e=this.chart,n=this.$animations,i=n&&n.x,s=n&&n.y;if(i||s){const n=Nr[t.position].call(this,this._active,this._eventPosition);if(!n)return;const o=this._size=Hr(this,t),r=Object.assign({},n,this._size),a=Ur(e,t,r),l=qr(t,r,a,e);i._to===l.x&&s._to===l.y||(this.xAlign=a.xAlign,this.yAlign=a.yAlign,this.width=o.width,this.height=o.height,this.caretX=n.x,this.caretY=n.y,this._resolveAnimations().update(this,l))}}_willRender(){return!!this.opacity}draw(t){const e=this.options.setContext(this.getContext());let n=this.opacity;if(!n)return;this._updateAnimationTarget(e);const i={width:this.width,height:this.height},s={x:this.x,y:this.y};n=Math.abs(n)<.001?0:n;const o=ci(e.padding),r=this.title.length||this.beforeBody.length||this.body.length||this.afterBody.length||this.footer.length;e.enabled&&r&&(t.save(),t.globalAlpha=n,this.drawBackground(s,t,i,e),function(t,e){let n,i;"ltr"!==e&&"rtl"!==e||(n=t.canvas.style,i=[n.getPropertyValue("direction"),n.getPropertyPriority("direction")],n.setProperty("direction",e,"important"),t.prevTextDirection=i)}(t,e.textDirection),s.y+=o.top,this.drawTitle(s,t,e),this.drawBody(s,t,e),this.drawFooter(s,t,e),function(t,e){void 0!==e&&(delete t.prevTextDirection,t.canvas.style.setProperty("direction",e[0],e[1]))}(t,e.textDirection),t.restore())}getActiveElements(){return this._active||[]}setActiveElements(t,e){const n=this._active,i=t.map((({datasetIndex:t,index:e})=>{const n=this.chart.getDatasetMeta(t);if(!n)throw new Error("Cannot find a dataset at index "+t);return{datasetIndex:t,element:n.data[e],index:e}})),s=!te(n,i),o=this._positionChanged(i,e);(s||o)&&(this._active=i,this._eventPosition=e,this._ignoreReplayEvents=!0,this.update(!0))}handleEvent(t,e,n=!0){if(e&&this._ignoreReplayEvents)return!1;this._ignoreReplayEvents=!1;const i=this.options,s=this._active||[],o=this._getActiveElements(t,s,e,n),r=this._positionChanged(o,t),a=e||!te(o,s)||r;return a&&(this._active=o,(i.enabled||i.external)&&(this._eventPosition={x:t.x,y:t.y},this.update(!0,e))),a}_getActiveElements(t,e,n,i){const s=this.options;if("mouseout"===t.type)return[];if(!i)return e;const o=this.chart.getElementsAtEventForMode(t,s.mode,s,n);return s.reverse&&o.reverse(),o}_positionChanged(t,e){const{caretX:n,caretY:i,options:s}=this,o=Nr[s.position].call(this,t,e);return!1!==o&&(n!==o.x||i!==o.y)}}).positioners=Nr;const Gr=(t,e,n,i)=>("string"==typeof e?(n=t.push(e)-1,i.unshift({index:n,label:e})):isNaN(e)&&(n=null),n);class Kr extends Js{constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:n,label:i}of e)t[n]===i&&t.splice(n,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(Ut(t))return null;const n=this.getLabels();return e=isFinite(e)&&n[e]===t?e:function(t,e,n,i){const s=t.indexOf(e);return-1===s?Gr(t,e,n,i):s!==t.lastIndexOf(e)?n:s}(n,t,Gt(e,t),this._addedLabels),((t,e)=>null===t?null:Re(Math.round(t),0,e))(e,n.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:n,max:i}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(n=0),e||(i=this.getLabels().length-1)),this.min=n,this.max=i}buildTicks(){const t=this.min,e=this.max,n=this.options.offset,i=[];let s=this.getLabels();s=0===t&&e===s.length-1?s:s.slice(t,e+1),this._valueRange=Math.max(s.length-(n?0:1),1),this._startValue=this.min-(n?.5:0);for(let n=t;n<=e;n++)i.push({value:n});return i}getLabelForValue(t){const e=this.getLabels();return t>=0&&te.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}}function Jr(t,e){const n=[],{bounds:i,step:s,min:o,max:r,precision:a,count:l,maxTicks:c,maxDigits:h,includeBounds:u}=t,d=s||1,f=c-1,{min:p,max:g}=e,m=!Ut(o),b=!Ut(r),x=!Ut(l),y=(g-p)/(h+1);let _,v,$,k,w=ke((g-p)/f/d)*d;if(w<1e-14&&!m&&!b)return[{value:p},{value:g}];k=Math.ceil(g/w)-Math.floor(p/w),k>f&&(w=ke(k*w/f/d)*d),Ut(a)||(_=Math.pow(10,a),w=Math.ceil(w*_)/_),"ticks"===i?(v=Math.floor(p/w)*w,$=Math.ceil(g/w)*w):(v=p,$=g),m&&b&&s&&function(t,e){const n=Math.round(t);return n-e<=t&&n+e>=t}((r-o)/s,w/1e3)?(k=Math.round(Math.min((r-o)/w,c)),w=(r-o)/k,v=o,$=r):x?(v=m?o:v,$=b?r:$,k=l-1,w=($-v)/k):(k=($-v)/w,k=Ce(k,Math.round(k),w/1e3)?Math.round(k):Math.ceil(k));const C=Math.max(De(w),De(v));_=Math.pow(10,Ut(a)?C:a),v=Math.round(v*_)/_,$=Math.round($*_)/_;let M=0;for(m&&(u&&v!==o?(n.push({value:o}),vi=e?i:t,r=t=>s=n?s:t;if(t){const t=$e(i),e=$e(s);t<0&&e<0?r(0):t>0&&e>0&&o(0)}if(i===s){let e=1;(s>=Number.MAX_SAFE_INTEGER||i<=Number.MIN_SAFE_INTEGER)&&(e=Math.abs(.05*s)),r(s+e),t||o(i-e)}this.min=i,this.max=s}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:n,stepSize:i}=t;return i?(e=Math.ceil(this.max/i)-Math.floor(this.min/i)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${i} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),n=n||11),n&&(e=Math.min(n,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let n=this.getTickLimit();n=Math.max(2,n);const i=Jr({maxTicks:n,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&Me(i,this,"value"),t.reverse?(i.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),i}configure(){const t=this.ticks;let e=this.min,n=this.max;if(super.configure(),this.options.offset&&t.length){const i=(n-e)/Math.max(t.length-1,1)/2;e-=i,n+=i}this._startValue=e,this._endValue=n,this._valueRange=n-e}getLabelForValue(t){return Ki(t,this.chart.options.locale,this.options.ticks.format)}}class ea extends ta{determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=Zt(t)?t:0,this.max=Zt(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,n=Se(this.options.ticks.minRotation),i=(t?Math.sin(n):Math.cos(n))||.001,s=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,s.lineHeight/i))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}function na(t){return 1===t/Math.pow(10,Math.floor(ve(t)))}ea.id="linear",ea.defaults={ticks:{callback:Vs.formatters.numeric}};class ia extends Js{constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const n=ta.prototype.parse.apply(this,[t,e]);if(0!==n)return Zt(n)&&n>0?n:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=Zt(t)?Math.max(0,t):null,this.max=Zt(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let n=this.min,i=this.max;const s=e=>n=t?n:e,o=t=>i=e?i:t,r=(t,e)=>Math.pow(10,Math.floor(ve(t))+e);n===i&&(n<=0?(s(1),o(10)):(s(r(n,-1)),o(r(i,1)))),n<=0&&s(r(i,-1)),i<=0&&o(r(n,1)),this._zero&&this.min!==this._suggestedMin&&n===r(this.min,0)&&s(r(n,-1)),this.min=n,this.max=i}buildTicks(){const t=this.options,e=function(t,e){const n=Math.floor(ve(e.max)),i=Math.ceil(e.max/Math.pow(10,n)),s=[];let o=Xt(t.min,Math.pow(10,Math.floor(ve(e.min)))),r=Math.floor(ve(o)),a=Math.floor(o/Math.pow(10,r)),l=r<0?Math.pow(10,Math.abs(r)):1;do{s.push({value:o,major:na(o)}),++a,10===a&&(a=1,++r,l=r>=0?1:l),o=Math.round(a*Math.pow(10,r)*l)/l}while(rs?{start:e-n,end:e}:{start:e,end:e+n}}function ra(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},n=Object.assign({},e),i=[],s=[],o=t._pointLabels.length,r=t.options.pointLabels,a=r.centerPointLabels?fe/o:0;for(let u=0;ue.r&&(a=(i.end-e.r)/o,t.r=Math.max(t.r,e.r+a)),s.starte.b&&(l=(s.end-e.b)/r,t.b=Math.max(t.b,e.b+l))}function la(t){return 0===t||180===t?"center":t<180?"left":"right"}function ca(t,e,n){return"right"===n?t-=e:"center"===n&&(t-=e/2),t}function ha(t,e,n){return 90===n||270===n?t-=e/2:(n>270||n<90)&&(t-=e),t}function ua(t,e,n,i){const{ctx:s}=t;if(n)s.arc(t.xCenter,t.yCenter,e,0,pe);else{let n=t.getPointPosition(0,e);s.moveTo(n.x,n.y);for(let o=1;o{const n=Jt(this.options.pointLabels.callback,[t,e],this);return n||0===n?n:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?ra(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,n,i){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((n-i)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,n,i))}getIndexAngle(t){return Ee(t*(pe/(this._pointLabels.length||1))+Se(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(Ut(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(Ut(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;s--){const e=i.setContext(t.getPointLabelContext(s)),o=hi(e.font),{x:r,y:a,textAlign:l,left:c,top:h,right:u,bottom:d}=t._pointLabelItems[s],{backdropColor:f}=e;if(!Ut(f)){const t=li(e.borderRadius),i=ci(e.backdropPadding);n.fillStyle=f;const s=c-i.left,o=h-i.top,r=u-c+i.width,a=d-h+i.height;Object.values(t).some((t=>0!==t))?(n.beginPath(),ei(n,{x:s,y:o,w:r,h:a,radius:t}),n.fill()):n.fillRect(s,o,r,a)}Qn(n,t._pointLabels[s],r,a+o.lineHeight/2,o,{color:e.color,textAlign:l,textBaseline:"middle"})}}(this,s),i.display&&this.ticks.forEach(((t,e)=>{if(0!==e){r=this.getDistanceFromCenterForValue(t.value);!function(t,e,n,i){const s=t.ctx,o=e.circular,{color:r,lineWidth:a}=e;!o&&!i||!r||!a||n<0||(s.save(),s.strokeStyle=r,s.lineWidth=a,s.setLineDash(e.borderDash),s.lineDashOffset=e.borderDashOffset,s.beginPath(),ua(t,n,o,i),s.closePath(),s.stroke(),s.restore())}(this,i.setContext(this.getContext(e-1)),r,s)}})),n.display){for(t.save(),o=s-1;o>=0;o--){const i=n.setContext(this.getPointLabelContext(o)),{color:s,lineWidth:l}=i;l&&s&&(t.lineWidth=l,t.strokeStyle=s,t.setLineDash(i.borderDash),t.lineDashOffset=i.borderDashOffset,r=this.getDistanceFromCenterForValue(e.ticks.reverse?this.min:this.max),a=this.getPointPosition(o,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(a.x,a.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,n=e.ticks;if(!n.display)return;const i=this.getIndexAngle(0);let s,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(i),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((i,r)=>{if(0===r&&!e.reverse)return;const a=n.setContext(this.getContext(r)),l=hi(a.font);if(s=this.getDistanceFromCenterForValue(this.ticks[r].value),a.showLabelBackdrop){t.font=l.string,o=t.measureText(i.label).width,t.fillStyle=a.backdropColor;const e=ci(a.backdropPadding);t.fillRect(-o/2-e.left,-s-l.size/2-e.top,o+e.width,l.size+e.height)}Qn(t,i.label,0,-s,l,{color:a.color})})),t.restore()}drawTitle(){}}da.id="radialLinear",da.defaults={display:!0,animate:!0,position:"chartArea",angleLines:{display:!0,lineWidth:1,borderDash:[],borderDashOffset:0},grid:{circular:!1},startAngle:0,ticks:{showLabelBackdrop:!0,callback:Vs.formatters.numeric},pointLabels:{backdropColor:void 0,backdropPadding:2,display:!0,font:{size:10},callback:t=>t,padding:5,centerPointLabels:!1}},da.defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"},da.descriptors={angleLines:{_fallback:"grid"}};const fa={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},pa=Object.keys(fa);function ga(t,e){return t-e}function ma(t,e){if(Ut(e))return null;const n=t._adapter,{parser:i,round:s,isoWeekday:o}=t._parseOpts;let r=e;return"function"==typeof i&&(r=i(r)),Zt(r)||(r="string"==typeof i?n.parse(r,i):n.parse(r)),null===r?null:(s&&(r="week"!==s||!we(o)&&!0!==o?n.startOf(r,s):n.startOf(r,"isoWeek",o)),+r)}function ba(t,e,n,i){const s=pa.length;for(let o=pa.indexOf(t);o=e?n[i]:n[s]]=!0}}else t[e]=!0}function ya(t,e,n){const i=[],s={},o=e.length;let r,a;for(r=0;r=0&&(e[l].major=!0);return e}(t,i,s,n):i}class _a extends Js{constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e){const n=t.time||(t.time={}),i=this._adapter=new so._date(t.adapters.date);i.init(e),oe(n.displayFormats,i.formats()),this._parseOpts={parser:n.parser,round:n.round,isoWeekday:n.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:ma(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,n=t.time.unit||"day";let{min:i,max:s,minDefined:o,maxDefined:r}=this.getUserBounds();function a(t){o||isNaN(t.min)||(i=Math.min(i,t.min)),r||isNaN(t.max)||(s=Math.max(s,t.max))}o&&r||(a(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||a(this.getMinMax(!1))),i=Zt(i)&&!isNaN(i)?i:+e.startOf(Date.now(),n),s=Zt(s)&&!isNaN(s)?s:+e.endOf(Date.now(),n)+1,this.min=Math.min(i,s-1),this.max=Math.max(i+1,s)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,n=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],n=t[t.length-1]),{min:e,max:n}}buildTicks(){const t=this.options,e=t.time,n=t.ticks,i="labels"===n.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&i.length&&(this.min=this._userMin||i[0],this.max=this._userMax||i[i.length-1]);const s=this.min,o=function(t,e,n){let i=0,s=t.length;for(;ii&&t[s-1]>n;)s--;return i>0||s=pa.indexOf(n);o--){const n=pa[o];if(fa[n].common&&t._adapter.diff(s,i,n)>=e-1)return n}return pa[n?pa.indexOf(n):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=n.major.enabled&&"year"!==this._unit?function(t){for(let e=pa.indexOf(t)+1,n=pa.length;e+t.value)))}initOffsets(t){let e,n,i=0,s=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),i=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,n=this.getDecimalForValue(t[t.length-1]),s=1===t.length?n:(n-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;i=Re(i,0,o),s=Re(s,0,o),this._offsets={start:i,end:s,factor:1/(i+1+s)}}_generate(){const t=this._adapter,e=this.min,n=this.max,i=this.options,s=i.time,o=s.unit||ba(s.minUnit,e,n,this._getLabelCapacity(e)),r=Gt(s.stepSize,1),a="week"===o&&s.isoWeekday,l=we(a)||!0===a,c={};let h,u,d=e;if(l&&(d=+t.startOf(d,"isoWeek",a)),d=+t.startOf(d,l?"day":o),t.diff(n,e,o)>1e5*r)throw new Error(e+" and "+n+" are too far apart with stepSize of "+r+" "+o);const f="data"===i.ticks.source&&this.getDataTimestamps();for(h=d,u=0;ht-e)).map((t=>+t))}getLabelForValue(t){const e=this._adapter,n=this.options.time;return n.tooltipFormat?e.format(t,n.tooltipFormat):e.format(t,n.displayFormats.datetime)}_tickFormatFunction(t,e,n,i){const s=this.options,o=s.time.displayFormats,r=this._unit,a=this._majorUnit,l=r&&o[r],c=a&&o[a],h=n[e],u=a&&c&&h&&h.major,d=this._adapter.format(t,i||(u?c:l)),f=s.ticks.callback;return f?Jt(f,[d,e,n],this):d}generateTickLabels(t){let 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Ec={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:Mc,tag:"^comment|^|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^|^",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:([punct_])|[^\s*]))|^_+(?:([punct*])|([^\s_]))/,rDelimAst:/^(?:[^_*\\]|\\.)*?\_\_(?:[^_*\\]|\\.)*?\*(?:[^_*\\]|\\.)*?(?=\_\_)|(?:[^*\\]|\\.)+(?=[^*])|[punct_](\*+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\*+)(?=[punct_\s]|$)|[punct_\s](\*+)(?=[^punct*_\s])|[\s](\*+)(?=[punct_])|[punct_](\*+)(?=[punct_])|(?:[^punct*_\s\\]|\\.)(\*+)(?=[^punct*_\s])/,rDelimUnd:/^(?:[^_*\\]|\\.)*?\*\*(?:[^_*\\]|\\.)*?\_(?:[^_*\\]|\\.)*?(?=\*\*)|(?:[^_\\]|\\.)+(?=[^_])|[punct*](\_+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\_+)(?=[punct*\s]|$)|[punct*\s](\_+)(?=[^punct*_\s])|[\s](\_+)(?=[punct*])|[punct*](\_+)(?=[punct*])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:Mc,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\.5&&(n="x"+n.toString(16)),i+="&#"+n+";";return i}Ec._punctuation="!\"#$%&'()+\\-.,/:;<=>?@\\[\\]`^{|}~",Ec.punctuation=xc(Ec.punctuation).replace(/punctuation/g,Ec._punctuation).getRegex(),Ec.blockSkip=/\[[^\]]*?\]\([^\)]*?\)|`[^`]*?`|<[^>]*?>/g,Ec.escapedEmSt=/(?:^|[^\\])(?:\\\\)*\\[*_]/g,Ec._comment=xc(Ac._comment).replace("(?:--\x3e|$)","--\x3e").getRegex(),Ec.emStrong.lDelim=xc(Ec.emStrong.lDelim).replace(/punct/g,Ec._punctuation).getRegex(),Ec.emStrong.rDelimAst=xc(Ec.emStrong.rDelimAst,"g").replace(/punct/g,Ec._punctuation).getRegex(),Ec.emStrong.rDelimUnd=xc(Ec.emStrong.rDelimUnd,"g").replace(/punct/g,Ec._punctuation).getRegex(),Ec._escapes=/\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/g,Ec._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,Ec._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,Ec.autolink=xc(Ec.autolink).replace("scheme",Ec._scheme).replace("email",Ec._email).getRegex(),Ec._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,Ec.tag=xc(Ec.tag).replace("comment",Ec._comment).replace("attribute",Ec._attribute).getRegex(),Ec._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,Ec._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,Ec._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,Ec.link=xc(Ec.link).replace("label",Ec._label).replace("href",Ec._href).replace("title",Ec._title).getRegex(),Ec.reflink=xc(Ec.reflink).replace("label",Ec._label).replace("ref",Ac._label).getRegex(),Ec.nolink=xc(Ec.nolink).replace("ref",Ac._label).getRegex(),Ec.reflinkSearch=xc(Ec.reflinkSearch,"g").replace("reflink",Ec.reflink).replace("nolink",Ec.nolink).getRegex(),Ec.normal={...Ec},Ec.pedantic={...Ec.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:xc(/^!?\[(label)\]\((.*?)\)/).replace("label",Ec._label).getRegex(),reflink:xc(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",Ec._label).getRegex()},Ec.gfm={...Ec.normal,escape:xc(Ec.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= 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if(n=this.tokenizer.html(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.def(t))t=t.substring(n.raw.length),i=e[e.length-1],!i||"paragraph"!==i.type&&"text"!==i.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(i.raw+="\n"+n.raw,i.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=i.text);else if(n=this.tokenizer.table(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.lheading(t))t=t.substring(n.raw.length),e.push(n);else{if(s=t,this.options.extensions&&this.options.extensions.startBlock){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startBlock.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof 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if(n=this.tokenizer.tag(t))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.link(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.reflink(t,this.tokens.links))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.emStrong(t,l,a))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.codespan(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.br(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.del(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.autolink(t,Rc))t=t.substring(n.raw.length),e.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(t,Rc))){if(s=t,this.options.extensions&&this.options.extensions.startInline){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startInline.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof i&&i>=0&&(e=Math.min(e,i))})),e<1/0&&e>=0&&(s=t.substring(0,e+1))}if(n=this.tokenizer.inlineText(s,Tc))t=t.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(a=n.raw.slice(-1)),r=!0,i=e[e.length-1],i&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(t){const e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}else t=t.substring(n.raw.length),e.push(n);return e}}class Ic{constructor(t){this.options=t||ac}code(t,e,n){const i=(e||"").match(/\S*/)[0];if(this.options.highlight){const e=this.options.highlight(t,i);null!=e&&e!==t&&(n=!0,t=e)}return t=t.replace(/\n$/,"")+"\n",i?'
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*/?>(?=[ \\t]*(?:\\n|$))[\\s\\S]*?(?:(?:\\n *)+\\n|$)|(?=[ \\t]*(?:\\n|$))[\\s\\S]*?(?:(?:\\n *)+\\n|$))",def:/^ {0,3}\[(label)\]: *(?:\n *)?([^<\s][^\s]*|<.*?>)(?:(?: +(?:\n *)?| *\n *)(title))? *(?:\n+|$)/,table:Uh,lheading:/^((?:(?!^bull ).|\n(?!\n|bull ))+?)\n {0,3}(=+|-+) *(?:\n+|$)/,_paragraph:/^([^\n]+(?:\n(?!hr|heading|lheading|blockquote|fences|list|html|table| +\n)[^\n]+)*)/,text:/^[^\n]+/};Ce._label=/(?!\s*\])(?:\\.|[^\[\]\\])+/,Ce._title=/(?:"(?:\\"?|[^"\\])*"|'[^'\n]*(?:\n[^'\n]+)*\n?'|\([^()]*\))/,Ce.def=it(Ce.def).replace("label",Ce._label).replace("title",Ce._title).getRegex(),Ce.bullet=/(?:[*+-]|\d{1,9}[.)])/,Ce.listItemStart=it(/^( *)(bull) */).replace("bull",Ce.bullet).getRegex(),Ce.list=it(Ce.list).replace(/bull/g,Ce.bullet).replace("hr","\\n+(?=\\1?(?:(?:- *){3,}|(?:_ *){3,}|(?:\\* *){3,})(?:\\n+|$))").replace("def","\\n+(?="+Ce.def.source+")").getRegex(),Ce._tag="address|article|aside|base|basefont|blockquote|body|caption|center|col|colgroup|dd|details|dialog|dir|div|dl|dt|fieldset|figcaption|figure|footer|form|frame|frameset|h[1-6]|head|header|hr|html|iframe|legend|li|link|main|menu|menuitem|meta|nav|noframes|ol|optgroup|option|p|param|section|source|summary|table|tbody|td|tfoot|th|thead|title|tr|track|ul",Ce._comment=/|$)/,Ce.html=it(Ce.html,"i").replace("comment",Ce._comment).replace("tag",Ce._tag).replace("attribute",/ +[a-zA-Z:_][\w.:-]*(?: *= *"[^"\n]*"| *= *'[^'\n]*'| *= *[^\s"'=<>`]+)?/).getRegex(),Ce.lheading=it(Ce.lheading).replace(/bull/g,Ce.bullet).getRegex(),Ce.paragraph=it(Ce._paragraph).replace("hr",Ce.hr).replace("heading"," {0,3}#{1,6} ").replace("|lheading","").replace("|table","").replace("blockquote"," {0,3}>").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ce._tag).getRegex(),Ce.blockquote=it(Ce.blockquote).replace("paragraph",Ce.paragraph).getRegex(),Ce.normal={...Ce},Ce.gfm={...Ce.normal,table:"^ *([^\\n ].*\\|.*)\\n {0,3}(?:\\| *)?(:?-+:? *(?:\\| *:?-+:? *)*)(?:\\| *)?(?:\\n((?:(?! *\\n|hr|heading|blockquote|code|fences|list|html).*(?:\\n|$))*)\\n*|$)"},Ce.gfm.table=it(Ce.gfm.table).replace("hr",Ce.hr).replace("heading"," {0,3}#{1,6} ").replace("blockquote"," {0,3}>").replace("code"," {4}[^\\n]").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ce._tag).getRegex(),Ce.gfm.paragraph=it(Ce._paragraph).replace("hr",Ce.hr).replace("heading"," {0,3}#{1,6} ").replace("|lheading","").replace("table",Ce.gfm.table).replace("blockquote"," {0,3}>").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ce._tag).getRegex(),Ce.pedantic={...Ce.normal,html:it(`^ *(?:comment *(?:\\n|\\s*$)|<(tag)[\\s\\S]+? *(?:\\n{2,}|\\s*$)|\\s]*)*?/?> *(?:\\n{2,}|\\s*$))`).replace("comment",Ce._comment).replace(/tag/g,"(?!(?:a|em|strong|small|s|cite|q|dfn|abbr|data|time|code|var|samp|kbd|sub|sup|i|b|u|mark|ruby|rt|rp|bdi|bdo|span|br|wbr|ins|del|img)\\b)\\w+(?!:|[^\\w\\s@]*@)\\b").getRegex(),def:/^ *\[([^\]]+)\]: *]+)>?(?: +(["(][^\n]+[")]))? *(?:\n+|$)/,heading:/^(#{1,6})(.*)(?:\n+|$)/,fences:Uh,lheading:/^(.+?)\n {0,3}(=+|-+) *(?:\n+|$)/,paragraph:it(Ce.normal._paragraph).replace("hr",Ce.hr).replace("heading",` *#{1,6} *[^
+]`).replace("lheading",Ce.lheading).replace("blockquote"," {0,3}>").replace("|fences","").replace("|list","").replace("|html","").getRegex()};const ae={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:Uh,tag:"^comment|^|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^|^",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:((?!\*)[punct])|[^\s*]))|^_+(?:((?!_)[punct])|([^\s_]))/,rDelimAst:/^[^_*]*?__[^_*]*?\*[^_*]*?(?=__)|[^*]+(?=[^*])|(?!\*)[punct](\*+)(?=[\s]|$)|[^punct\s](\*+)(?!\*)(?=[punct\s]|$)|(?!\*)[punct\s](\*+)(?=[^punct\s])|[\s](\*+)(?!\*)(?=[punct])|(?!\*)[punct](\*+)(?!\*)(?=[punct])|[^punct\s](\*+)(?=[^punct\s])/,rDelimUnd:/^[^_*]*?\*\*[^_*]*?_[^_*]*?(?=\*\*)|[^_]+(?=[^_])|(?!_)[punct](_+)(?=[\s]|$)|[^punct\s](_+)(?!_)(?=[punct\s]|$)|(?!_)[punct\s](_+)(?=[^punct\s])|[\s](_+)(?!_)(?=[punct])|(?!_)[punct](_+)(?!_)(?=[punct])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:Uh,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\`^|~",ae.punctuation=it(ae.punctuation,"u").replace(/punctuation/g,ae._punctuation).getRegex(),ae.blockSkip=/\[[^[\]]*?\]\([^\(\)]*?\)|`[^`]*?`|<[^<>]*?>/g,ae.anyPunctuation=/\\[punct]/g,ae._escapes=/\\([punct])/g,ae._comment=it(Ce._comment).replace("(?:-->|$)","-->").getRegex(),ae.emStrong.lDelim=it(ae.emStrong.lDelim,"u").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimAst=it(ae.emStrong.rDelimAst,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimUnd=it(ae.emStrong.rDelimUnd,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.anyPunctuation=it(ae.anyPunctuation,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._escapes=it(ae._escapes,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,ae._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,ae.autolink=it(ae.autolink).replace("scheme",ae._scheme).replace("email",ae._email).getRegex(),ae._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,ae.tag=it(ae.tag).replace("comment",ae._comment).replace("attribute",ae._attribute).getRegex(),ae._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,ae._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,ae._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,ae.link=it(ae.link).replace("label",ae._label).replace("href",ae._href).replace("title",ae._title).getRegex(),ae.reflink=it(ae.reflink).replace("label",ae._label).replace("ref",Ce._label).getRegex(),ae.nolink=it(ae.nolink).replace("ref",Ce._label).getRegex(),ae.reflinkSearch=it(ae.reflinkSearch,"g").replace("reflink",ae.reflink).replace("nolink",ae.nolink).getRegex(),ae.normal={...ae},ae.pedantic={...ae.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:it(/^!?\[(label)\]\((.*?)\)/).replace("label",ae._label).getRegex(),reflink:it(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",ae._label).getRegex()},ae.gfm={...ae.normal,escape:it(ae.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\.5&&(i="x"+i.toString(16)),t+="&#"+i+";";return t}class ur{constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||yo,this.options.tokenizer=this.options.tokenizer||new qh,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:Ce.normal,inline:ae.normal};this.options.pedantic?(n.block=Ce.pedantic,n.inline=ae.pedantic):this.options.gfm&&(n.block=Ce.gfm,this.options.breaks?n.inline=ae.breaks:n.inline=ae.gfm),this.tokenizer.rules=n}static get rules(){return{block:Ce,inline:ae}}static lex(t,n){return new ur(n).lex(t)}static lexInline(t,n){return new ur(n).inlineTokens(t)}lex(t){t=t.replace(/\r\n|\r/g,`
+`),this.blockTokens(t,this.tokens);let n;for(;n=this.inlineQueue.shift();)this.inlineTokens(n.src,n.tokens);return this.tokens}blockTokens(t,n=[]){this.options.pedantic?t=t.replace(/\t/g,"    ").replace(/^ +$/gm,""):t=t.replace(/^( *)(\t+)/gm,(a,u,l)=>u+"    ".repeat(l.length));let i,r,s,o;for(;t;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some(a=>(i=a.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))){if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length),i.raw.length===1&&n.length>0?n[n.length-1].raw+=`
+`:n.push(i);continue}if(i=this.tokenizer.code(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&(r.type==="paragraph"||r.type==="text")?(r.raw+=`
+`+i.raw,r.text+=`
+`+i.text,this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i);continue}if(i=this.tokenizer.fences(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.heading(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.hr(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.blockquote(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.list(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.html(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.def(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&(r.type==="paragraph"||r.type==="text")?(r.raw+=`
+`+i.raw,r.text+=`
+`+i.raw,this.inlineQueue[this.inlineQueue.length-1].src=r.text):this.tokens.links[i.tag]||(this.tokens.links[i.tag]={href:i.href,title:i.title});continue}if(i=this.tokenizer.table(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.lheading(t)){t=t.substring(i.raw.length),n.push(i);continue}if(s=t,this.options.extensions&&this.options.extensions.startBlock){let a=1/0;const u=t.slice(1);let l;this.options.extensions.startBlock.forEach(function(c){l=c.call({lexer:this},u),typeof l=="number"&&l>=0&&(a=Math.min(a,l))}),a<1/0&&a>=0&&(s=t.substring(0,a+1))}if(this.state.top&&(i=this.tokenizer.paragraph(s))){r=n[n.length-1],o&&r.type==="paragraph"?(r.raw+=`
+`+i.raw,r.text+=`
+`+i.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i),o=s.length!==t.length,t=t.substring(i.raw.length);continue}if(i=this.tokenizer.text(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&r.type==="text"?(r.raw+=`
+`+i.raw,r.text+=`
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Kme(e){const{legends:t,resolve:n}=e.component;for(const i of e.children){ML(i);for(const r of Y(i.component.legends))n.legend[r]=Yw(e.component.resolve,r),n.legend[r]==="shared"&&(t[r]=NL(t[r],i.component.legends[r]),t[r]||(n.legend[r]="independent",delete t[r]))}for(const i of Y(t))for(const r of e.children)r.component.legends[i]&&n.legend[i]==="shared"&&delete r.component.legends[i];return t}function NL(e,t){var s,o,a,u;if(!e)return t.clone();const n=e.getWithExplicit("orient"),i=t.getWithExplicit("orient");if(n.explicit&&i.explicit&&n.value!==i.value)return;let r=!1;for(const l of kL){const c=ma(e.getWithExplicit(l),t.getWithExplicit(l),l,"legend",(f,d)=>{switch(l){case"symbolType":return Zme(f,d);case"title":return tN(f,d);case"type":return r=!0,Ri("symbol")}return rm(f,d,l,"legend")});e.setWithExplicit(l,c)}return r&&((o=(s=e.implicit)==null?void 0:s.encode)!=null&&o.gradient&&w1(e.implicit,["encode","gradient"]),(u=(a=e.explicit)==null?void 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0:a.labels)!=null&&u.update&&me(s.encode.labels.update.text)&&(l=du(i,"datum.label",s.encode.labels.update.text.signal)),Jme(s,"labels","text",{signal:l})}return s}}function e2e(e){return Lc(e)||l6(e)?t2e(e):OL(e)}function t2e(e){return e.children.reduce((t,n)=>t.concat(n.assembleProjections()),OL(e))}function OL(e){const t=e.component.projection;if(!t||t.merged)return[];const n=t.combine(),{name:i}=n;if(t.data){const r={signal:`[${t.size.map(o=>o.signal).join(", ")}]`},s=t.data.reduce((o,a)=>{const u=me(a)?a.signal:`data('${e.lookupDataSource(a)}')`;return qe(o,u)||o.push(u),o},[]);if(s.length<=0)throw new Error("Projection's fit didn't find any data sources");return[{name:i,size:r,fit:{signal:s.length>1?`[${s.join(", ")}]`:s[0]},...n}]}else return[{name:i,translate:{signal:"[width / 2, height / 2]"},...n}]}const n2e=["type","clipAngle","clipExtent","center","rotate","precision","reflectX","reflectY","coefficient","distance","fraction","lobes","parallel","radius","ratio","spacing","tilt"];class LL extends lo{constructor(t,n,i,r){super({...n},{name:t}),this.specifiedProjection=n,this.size=i,this.data=r,this.merged=!1}get isFit(){return!!this.data}}function IL(e){e.component.projection=Dt(e)?i2e(e):o2e(e)}function i2e(e){if(e.hasProjection){const t=yn(e.specifiedProjection),n=!(t&&(t.scale!=null||t.translate!=null)),i=n?[e.getSizeSignalRef("width"),e.getSizeSignalRef("height")]:void 0,r=n?r2e(e):void 0,s=new LL(e.projectionName(!0),{...yn(e.config.projection),...t},i,r);return s.get("type")||s.set("type","equalEarth",!1),s}}function r2e(e){const t=[],{encoding:n}=e;for(const i of[[Sr,$r],[nr,Fr]])(Xt(n[i[0]])||Xt(n[i[1]]))&&t.push({signal:e.getName(`geojson_${t.length}`)});return e.channelHasField(gi)&&e.typedFieldDef(gi).type===mc&&t.push({signal:e.getName(`geojson_${t.length}`)}),t.length===0&&t.push(e.requestDataName(Ft.Main)),t}function s2e(e,t){const n=Q7(n2e,r=>!!(!ue(e.explicit,r)&&!ue(t.explicit,r)||ue(e.explicit,r)&&ue(t.explicit,r)&&Mi(e.get(r),t.get(r))));if(Mi(e.size,t.size)){if(n)return e;if(Mi(e.explicit,{}))return t;if(Mi(t.explicit,{}))return e}return null}function o2e(e){if(e.children.length===0)return;let t;for(const i of e.children)IL(i);const n=Q7(e.children,i=>{const r=i.component.projection;if(r)if(t){const s=s2e(t,r);return s&&(t=s),!!s}else return t=r,!0;else return!0});if(t&&n){const i=e.projectionName(!0),r=new LL(i,t.specifiedProjection,t.size,De(t.data));for(const s of e.children){const o=s.component.projection;o&&(o.isFit&&r.data.push(...s.component.projection.data),s.renameProjection(o.get("name"),i),o.merged=!0)}return r}}function a2e(e,t,n,i){if(oh(t,n)){const r=Dt(e)?e.axis(n)??e.legend(n)??{}:{},s=te(t,{expr:"datum"}),o=te(t,{expr:"datum",binSuffix:"end"});return{formulaAs:te(t,{binSuffix:"range",forAs:!0}),formula:nh(s,o,r.format,r.formatType,i)}}return{}}function PL(e,t){return`${WM(e)}_${t}`}function u2e(e,t){return{signal:e.getName(`${t}_bins`),extentSignal:e.getName(`${t}_extent`)}}function Kw(e,t,n){const i=X1(n,void 0)??{},r=PL(i,t);return e.getName(`${r}_bins`)}function l2e(e){return"as"in e}function zL(e,t,n){let i,r;l2e(e)?i=se(e.as)?[e.as,`${e.as}_end`]:[e.as[0],e.as[1]]:i=[te(e,{forAs:!0}),te(e,{binSuffix:"end",forAs:!0})];const s={...X1(t,void 0)},o=PL(s,e.field),{signal:a,extentSignal:u}=u2e(n,o);if(T1(s.extent)){const c=s.extent;r=cL(n,c.param,c),delete s.extent}const l={bin:s,field:e.field,as:[i],...a?{signal:a}:{},...u?{extentSignal:u}:{},...r?{span:r}:{}};return{key:o,binComponent:l}}class $s extends ut{clone(){return new $s(null,De(this.bins))}constructor(t,n){super(t),this.bins=n}static makeFromEncoding(t,n){const i=n.reduceFieldDef((r,s,o)=>{if(ei(s)&&_t(s.bin)){const{key:a,binComponent:u}=zL(s,s.bin,n);r[a]={...u,...r[a],...a2e(n,s,o,n.config)}}return r},{});return ht(i)?null:new $s(t,i)}static makeFromTransform(t,n,i){const{key:r,binComponent:s}=zL(n,n.bin,i);return new $s(t,{[r]:s})}merge(t,n){for(const i of Y(t.bins))i in this.bins?(n(t.bins[i].signal,this.bins[i].signal),this.bins[i].as=fs([...this.bins[i].as,...t.bins[i].as],We)):this.bins[i]=t.bins[i];for(const i of t.children)t.removeChild(i),i.parent=this;t.remove()}producedFields(){return new Set(gn(this.bins).map(t=>t.as).flat(2))}dependentFields(){return new Set(gn(this.bins).map(t=>t.field))}hash(){return`Bin ${We(this.bins)}`}assemble(){return gn(this.bins).flatMap(t=>{const 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0&&(u.explicit||u.value===i[a]||u.value==="derived"||i[a]==="flatten"?delete i[a]:Z(uN(a,i[a],u.value)))}for(const a of Y(n)){const u=r.get(a);u!==void 0&&(u===n[a]?delete n[a]:Z(uN(a,n[a],u)))}const s=new lo(n,i);r.copyAll(s);const o={};for(const a of Y(s.combine())){const u=s.get(a);u!==null&&(o[a]=u)}return Y(o).length===0||r.parseNothing?null:new In(t,o)}get parse(){return this._parse}merge(t){this._parse={...this._parse,...t.parse},t.remove()}assembleFormatParse(){const t={};for(const n of Y(this._parse)){const i=this._parse[n];fc(n)===1&&(t[n]=i)}return t}producedFields(){return new Set(Y(this._parse))}dependentFields(){return new Set(Y(this._parse))}assembleTransforms(t=!1){return Y(this._parse).filter(n=>t?fc(n)>1:!0).map(n=>{const i=d2e(n,this._parse[n]);return i?{type:"formula",expr:i,as:cc(n)}:null}).filter(n=>n!==null)}}class va extends ut{clone(){return new va(null)}constructor(t){super(t)}dependentFields(){return new Set}producedFields(){return new Set([Or])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:Or}}}class vh extends ut{clone(){return new vh(null,this.params)}constructor(t,n){super(t),this.params=n}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${We(this.params)}`}assemble(){return{type:"graticule",...this.params===!0?{}:this.params}}}class xh extends ut{clone(){return new xh(null,this.params)}constructor(t,n){super(t),this.params=n}dependentFields(){return new Set}producedFields(){return new Set([this.params.as??"data"])}hash(){return`Hash ${We(this.params)}`}assemble(){return{type:"sequence",...this.params}}}class Ru extends ut{constructor(t){super(null),t??(t={name:"source"});let n;if(ya(t)||(n=t.format?{...hi(t.format,["parse"])}:{}),uh(t))this._data={values:t.values};else if(Cc(t)){if(this._data={url:t.url},!n.type){let i=/(?:\.([^.]+))?$/.exec(t.url)[1];qe(["json","csv","tsv","dsv","topojson"],i)||(i="json"),n.type=i}}else dO(t)?this._data={values:[{type:"Sphere"}]}:(cO(t)||ya(t))&&(this._data={});this._generator=ya(t),t.name&&(this._name=t.name),n&&!ht(n)&&(this._data.format=n)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(t){this._name=t}set parent(t){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return{name:this._name,...this._data,transform:[]}}}var UL=function(e,t,n,i,r){if(i==="m")throw new TypeError("Private method is not writable");if(i==="a"&&!r)throw new TypeError("Private accessor was defined without a setter");if(typeof t=="function"?e!==t||!r:!t.has(e))throw new TypeError("Cannot write private member to an object whose class did not declare it");return i==="a"?r.call(e,n):r?r.value=n:t.set(e,n),n},m2e=function(e,t,n,i){if(n==="a"&&!i)throw new TypeError("Private accessor was defined without a getter");if(typeof t=="function"?e!==t||!i:!t.has(e))throw new TypeError("Cannot read private member from an object whose class did not declare it");return n==="m"?i:n==="a"?i.call(e):i?i.value:t.get(e)},_h;function Zw(e){return e instanceof Ru||e instanceof vh||e instanceof xh}class Jw{constructor(){_h.set(this,void 0),UL(this,_h,!1,"f")}setModified(){UL(this,_h,!0,"f")}get modifiedFlag(){return m2e(this,_h,"f")}}_h=new WeakMap;class Ou extends Jw{getNodeDepths(t,n,i){i.set(t,n);for(const r of t.children)this.getNodeDepths(r,n+1,i);return i}optimize(t){const i=[...this.getNodeDepths(t,0,new Map).entries()].sort((r,s)=>s[1]-r[1]);for(const r of i)this.run(r[0]);return this.modifiedFlag}}class Qw extends Jw{optimize(t){this.run(t);for(const n of t.children)this.optimize(n);return this.modifiedFlag}}class y2e extends Qw{mergeNodes(t,n){const 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0:s.zero}return!1}function oye(e,t,n,i,r=!1){const s=aye(t,n,i,r),{type:o}=e;return ms(t)?o!==void 0?e0e(t,o)?J(n)&&!Qhe(o,n.type)?(Z(the(o,s)),s):o:(Z(ehe(t,o,s)),s):s:null}function aye(e,t,n,i){var r;switch(t.type){case"nominal":case"ordinal":{if(pc(e)||h_(e)==="discrete")return e==="shape"&&t.type==="ordinal"&&Z(__(e,"ordinal")),"ordinal";if(f_(e))return"band";if(Bt(e)||Zd(e)){if(qe(["rect","bar","image","rule","tick"],n.type)||i)return"band"}else if(n.type==="arc"&&e in c_)return"band";const s=n[mi(e)];return Eu(s)||vc(t)&&((r=t.axis)!=null&&r.tickBand)?"band":"point"}case"temporal":return pc(e)?"time":h_(e)==="discrete"?(Z(__(e,"temporal")),"ordinal"):J(t)&&t.timeUnit&&sn(t.timeUnit).utc?"utc":f_(e)?"band":"time";case"quantitative":return pc(e)?J(t)&&_t(t.bin)?"bin-ordinal":"linear":h_(e)==="discrete"?(Z(__(e,"quantitative")),"ordinal"):f_(e)?"band":"linear";case"geojson":return}throw new Error(cN(t.type))}function uye(e,{ignoreRange:t}={}){oI(e),WL(e);for(const n of Jhe)nI(e,n);t||rI(e)}function oI(e){Dt(e)?e.component.scales=lye(e):e.component.scales=fye(e)}function lye(e){const{encoding:t,mark:n,markDef:i}=e,r={};for(const s of d_){const o=Xt(t[s]);if(o&&n===zN&&s===gi&&o.type===mc)continue;let a=o&&o.scale;if(o&&a!==null&&a!==!1){a??(a={});const u=yR(t,s),l=oye(a,s,o,i,u);r[s]=new YL(e.scaleName(`${s}`,!0),{value:l,explicit:a.type===l})}}return r}const cye=lO((e,t)=>DN(e)-DN(t));function fye(e){var t;const n=e.component.scales={},i={},r=e.component.resolve;for(const s of e.children){oI(s);for(const o of Y(s.component.scales))if((t=r.scale)[o]??(t[o]=CL(o,e)),r.scale[o]==="shared"){const a=i[o],u=s.component.scales[o].getWithExplicit("type");a?jhe(a.value,u.value)?i[o]=ma(a,u,"type","scale",cye):(r.scale[o]="independent",delete i[o]):i[o]=u}}for(const s of Y(i)){const o=e.scaleName(s,!0),a=i[s];n[s]=new YL(o,a);for(const u of e.children){const l=u.component.scales[s];l&&(u.renameScale(l.get("name"),o),l.merged=!0)}}return n}class u6{constructor(){this.nameMap={}}rename(t,n){this.nameMap[t]=n}has(t){return this.nameMap[t]!==void 0}get(t){for(;this.nameMap[t]&&t!==this.nameMap[t];)t=this.nameMap[t];return t}}function Dt(e){return(e==null?void 0:e.type)==="unit"}function Oi(e){return(e==null?void 0:e.type)==="facet"}function l6(e){return(e==null?void 0:e.type)==="concat"}function Lc(e){return(e==null?void 0:e.type)==="layer"}class c6{constructor(t,n,i,r,s,o,a){this.type=n,this.parent=i,this.config=s,this.parent=i,this.config=s,this.view=yn(a),this.name=t.name??r,this.title=da(t.title)?{text:t.title}:t.title?yn(t.title):void 0,this.scaleNameMap=i?i.scaleNameMap:new u6,this.projectionNameMap=i?i.projectionNameMap:new u6,this.signalNameMap=i?i.signalNameMap:new u6,this.data=t.data,this.description=t.description,this.transforms=age(t.transform??[]),this.layout=n==="layer"||n==="unit"?{}:dpe(t,n,s),this.component={data:{sources:i?i.component.data.sources:[],outputNodes:i?i.component.data.outputNodes:{},outputNodeRefCounts:i?i.component.data.outputNodeRefCounts:{},isFaceted:q1(t)||(i==null?void 0:i.component.data.isFaceted)&&t.data===void 0},layoutSize:new lo,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:{scale:{},axis:{},legend:{},...o?De(o):{}},selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){uye(this)}parseProjection(){IL(this)}renameTopLevelLayoutSizeSignal(){this.getName("width")!=="width"&&this.renameSignal(this.getName("width"),"width"),this.getName("height")!=="height"&&this.renameSignal(this.getName("height"),"height")}parseLegends(){ML(this)}assembleEncodeFromView(t){const{style:n,...i}=t,r={};for(const s of Y(i)){const o=i[s];o!==void 0&&(r[s]=Et(o))}return r}assembleGroupEncodeEntry(t){let n={};return this.view&&(n=this.assembleEncodeFromView(this.view)),!t&&(this.description&&(n.description=Et(this.description)),this.type==="unit"||this.type==="layer")?{width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height"),...n}:ht(n)?void 0:n}assembleLayout(){if(!this.layout)return;const{spacing:t,...n}=this.layout,{component:i,config:r}=this,s=Tme(i.layoutHeaders,r);return{padding:t,...this.assembleDefaultLayout(),...n,...s?{titleBand:s}:{}}}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:t}=this.component;let n=[];for(const i of ir)t[i].title&&n.push(kme(this,i));for(const i of Ww)n=n.concat(Ame(this,i));return n}assembleAxes(){return dme(this.component.axes,this.config)}assembleLegends(){return RL(this)}assembleProjections(){return e2e(this)}assembleTitle(){const{encoding:t,...n}=this.title??{},i={...GM(this.config.title).nonMarkTitleProperties,...n,...t?{encode:{update:t}}:{}};if(i.text)return qe(["unit","layer"],this.type)?qe(["middle",void 0],i.anchor)&&(i.frame??(i.frame="group")):i.anchor??(i.anchor="start"),ht(i)?void 0:i}assembleGroup(t=[]){const n={};t=t.concat(this.assembleSignals()),t.length>0&&(n.signals=t);const i=this.assembleLayout();i&&(n.layout=i),n.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const r=!this.parent||Oi(this.parent)?GL(this):[];r.length>0&&(n.scales=r);const s=this.assembleAxes();s.length>0&&(n.axes=s);const o=this.assembleLegends();return o.length>0&&(n.legends=o),n}getName(t){return At((this.name?`${this.name}_`:"")+t)}getDataName(t){return this.getName(Ft[t].toLowerCase())}requestDataName(t){const n=this.getDataName(t),i=this.component.data.outputNodeRefCounts;return i[n]=(i[n]||0)+1,n}getSizeSignalRef(t){if(Oi(this.parent)){const n=wL(t),i=F1(n),r=this.component.scales[i];if(r&&!r.merged){const s=r.get("type"),o=r.get("range");if(on(s)&&yu(o)){const a=r.get("name"),u=Cm(this,i),l=a6(u);if(l){const c=te({aggregate:"distinct",field:l},{expr:"datum"});return{signal:_L(a,r,c)}}else return Z(b_(i)),null}}}return{signal:this.signalNameMap.get(this.getName(t))}}lookupDataSource(t){const n=this.component.data.outputNodes[t];return n?n.getSource():t}getSignalName(t){return this.signalNameMap.get(t)}renameSignal(t,n){this.signalNameMap.rename(t,n)}renameScale(t,n){this.scaleNameMap.rename(t,n)}renameProjection(t,n){this.projectionNameMap.rename(t,n)}scaleName(t,n){if(n)return this.getName(t);if(IM(t)&&ms(t)&&this.component.scales[t]||this.scaleNameMap.has(this.getName(t)))return this.scaleNameMap.get(this.getName(t))}projectionName(t){if(t)return this.getName("projection");if(this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection")))return this.projectionNameMap.get(this.getName("projection"))}getScaleComponent(t){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const n=this.component.scales[t];return n&&!n.merged?n:this.parent?this.parent.getScaleComponent(t):void 0}getScaleType(t){const n=this.getScaleComponent(t);return n?n.get("type"):void 0}getSelectionComponent(t,n){let i=this.component.selection[t];if(!i&&this.parent&&(i=this.parent.getSelectionComponent(t,n)),!i)throw new Error(mde(n));return i}hasAxisOrientSignalRef(){var t,n;return((t=this.component.axes.x)==null?void 0:t.some(i=>i.hasOrientSignalRef()))||((n=this.component.axes.y)==null?void 0:n.some(i=>i.hasOrientSignalRef()))}}class aI extends c6{vgField(t,n={}){const i=this.fieldDef(t);if(i)return te(i,n)}reduceFieldDef(t,n){return q0e(this.getMapping(),(i,r,s)=>{const o=Rr(r);return o?t(i,o,s):i},n)}forEachFieldDef(t,n){J_(this.getMapping(),(i,r)=>{const s=Rr(i);s&&t(s,r)},n)}}class km extends ut{clone(){return new km(null,De(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=De(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??"value",i[1]??"density"];const r=this.transform.resolve??"shared";this.transform.resolve=r}dependentFields(){return new Set([this.transform.density,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${We(this.transform)}`}assemble(){const{density:t,...n}=this.transform,i={type:"kde",field:t,...n};return i.resolve=this.transform.resolve,i}}class Am extends ut{clone(){return new Am(null,De(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=De(n)}dependentFields(){return new Set([this.transform.extent])}producedFields(){return new Set([])}hash(){return`ExtentTransform ${We(this.transform)}`}assemble(){const{extent:t,param:n}=this.transform;return{type:"extent",field:t,signal:n}}}class $m extends ut{clone(){return new $m(this.parent,De(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=De(n);const{flatten:i,as:r=[]}=this.transform;this.transform.as=i.map((s,o)=>r[o]??s)}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${We(this.transform)}`}assemble(){const{flatten:t,as:n}=this.transform;return{type:"flatten",fields:t,as:n}}}class Sm extends ut{clone(){return new Sm(null,De(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=De(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??"key",i[1]??"value"]}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${We(this.transform)}`}assemble(){const{fold:t,as:n}=this.transform;return{type:"fold",fields:t,as:n}}}class Ic extends ut{clone(){return new Ic(null,De(this.fields),this.geojson,this.signal)}static parseAll(t,n){if(n.component.projection&&!n.component.projection.isFit)return t;let i=0;for(const r of[[Sr,$r],[nr,Fr]]){const s=r.map(o=>{const a=Xt(n.encoding[o]);return J(a)?a.field:_s(a)?{expr:`${a.datum}`}:Nr(a)?{expr:`${a.value}`}:void 0});(s[0]||s[1])&&(t=new Ic(t,s,null,n.getName(`geojson_${i++}`)))}if(n.channelHasField(gi)){const r=n.typedFieldDef(gi);r.type===mc&&(t=new Ic(t,null,r.field,n.getName(`geojson_${i++}`)))}return t}constructor(t,n,i,r){super(t),this.fields=n,this.geojson=i,this.signal=r}dependentFields(){const t=(this.fields??[]).filter(se);return new Set([...this.geojson?[this.geojson]:[],...t])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${We(this.fields)}`}assemble(){return[...this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[],{type:"geojson",...this.fields?{fields:this.fields}:{},...this.geojson?{geojson:this.geojson}:{},signal:this.signal}]}}class wh extends ut{clone(){return new wh(null,this.projection,De(this.fields),De(this.as))}constructor(t,n,i,r){super(t),this.projection=n,this.fields=i,this.as=r}static parseAll(t,n){if(!n.projectionName())return t;for(const i of[[Sr,$r],[nr,Fr]]){const r=i.map(o=>{const a=Xt(n.encoding[o]);return J(a)?a.field:_s(a)?{expr:`${a.datum}`}:Nr(a)?{expr:`${a.value}`}:void 0}),s=i[0]===nr?"2":"";(r[0]||r[1])&&(t=new wh(t,n.projectionName(),r,[n.getName(`x${s}`),n.getName(`y${s}`)]))}return t}dependentFields(){return new Set(this.fields.filter(se))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${We(this.fields)} ${We(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class Iu extends ut{clone(){return new Iu(null,De(this.transform))}constructor(t,n){super(t),this.transform=n}dependentFields(){return new Set([this.transform.impute,this.transform.key,...this.transform.groupby??[]])}producedFields(){return new Set([this.transform.impute])}processSequence(t){const{start:n=0,stop:i,step:r}=t;return{signal:`sequence(${[n,i,...r?[r]:[]].join(",")})`}}static makeFromTransform(t,n){return new Iu(t,n)}static makeFromEncoding(t,n){const i=n.encoding,r=i.x,s=i.y;if(J(r)&&J(s)){const o=r.impute?r:s.impute?s:void 0;if(o===void 0)return;const a=r.impute?s:s.impute?r:void 0,{method:u,value:l,frame:c,keyvals:f}=o.impute,d=xR(n.mark,i);return new Iu(t,{impute:o.field,key:a.field,...u?{method:u}:{},...l!==void 0?{value:l}:{},...c?{frame:c}:{},...f!==void 0?{keyvals:f}:{},...d.length?{groupby:d}:{}})}return null}hash(){return`Impute ${We(this.transform)}`}assemble(){const{impute:t,key:n,keyvals:i,method:r,groupby:s,value:o,frame:a=[null,null]}=this.transform,u={type:"impute",field:t,key:n,...i?{keyvals:jpe(i)?this.processSequence(i):i}:{},method:"value",...s?{groupby:s}:{},value:!r||r==="value"?o:null};if(r&&r!=="value"){const 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Iye={vgMark:"arc",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...ti("x",e,{defaultPos:"mid"}),...ti("y",e,{defaultPos:"mid"}),...fo(e,"radius"),...fo(e,"theta")})},Pye={vgMark:"area",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",orient:"include",size:"ignore",theta:"ignore"}),...lm("x",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="horizontal"}),...lm("y",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="vertical"}),...Fw(e)})},zye={vgMark:"rect",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...fo(e,"x"),...fo(e,"y")})},Bye={vgMark:"shape",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})}),postEncodingTransform:e=>{const{encoding:t}=e,n=t.shape;return[{type:"geoshape",projection:e.projectionName(),...n&&J(n)&&n.type===mc?{field:te(n,{expr:"datum"})}:{}}]}},Uye={vgMark:"image",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"ignore",orient:"ignore",size:"ignore",theta:"ignore"}),...fo(e,"x"),...fo(e,"y"),...$w(e,"url")})},jye={vgMark:"line",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...ti("x",e,{defaultPos:"mid"}),...ti("y",e,{defaultPos:"mid"}),...vn("size",e,{vgChannel:"strokeWidth"}),...Fw(e)})},qye={vgMark:"trail",encodeEntry:e=>({...rr(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"}),...ti("x",e,{defaultPos:"mid"}),...ti("y",e,{defaultPos:"mid"}),...vn("size",e),...Fw(e)})};function 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Zye(e,t,n){if(gt("align",e,n)===void 0)return"center"}function Jye(e,t,n){if(gt("baseline",e,n)===void 0)return"middle"}const Im={arc:Iye,area:Pye,bar:zye,circle:Gye,geoshape:Bye,image:Uye,line:jye,point:Hye,rect:Yye,rule:Xye,square:Vye,text:Kye,tick:{vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,i=n.orient,r=i==="horizontal"?"x":"y",s=i==="horizontal"?"y":"x",o=i==="horizontal"?"height":"width";return{...rr(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...fo(e,r),...ti(s,e,{defaultPos:"mid",vgChannel:s==="y"?"yc":"xc"}),[o]:Et(gt("thickness",n,t))}}},trail:qye};function Qye(e){if(qe([P1,L1,r0e],e.mark)){const t=xR(e.mark,e.encoding);if(t.length>0)return ebe(e,t)}else if(e.mark===I1){const t=g_.some(n=>gt(n,e.markDef,e.config));if(e.stack&&!e.fieldDef("size")&&t)return tbe(e)}return g6(e)}const hI="faceted_path_";function 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g6(e,t={fromPrefix:""}){const{mark:n,markDef:i,encoding:r,config:s}=e,o=zt(i.clip,ibe(e),rbe(e)),a=KM(i),u=r.key,l=nbe(e),c=sbe(e),f=gt("aria",i,s),d=Im[n].postEncodingTransform?Im[n].postEncodingTransform(e):null;return[{name:e.getName("marks"),type:Im[n].vgMark,...o?{clip:o}:{},...a?{style:a}:{},...u?{key:u.field}:{},...l?{sort:l}:{},...c||{},...f===!1?{aria:f}:{},from:{data:t.fromPrefix+e.requestDataName(Ft.Main)},encode:{update:Im[n].encodeEntry(e)},...d?{transform:d}:{}}]}function ibe(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return t!=null&&t.get("selectionExtent")||n!=null&&n.get("selectionExtent")?!0:void 0}function rbe(e){const t=e.component.projection;return t&&!t.isFit?!0:void 0}function sbe(e){if(!e.component.selection)return null;const t=Y(e.component.selection).length;let n=t,i=e.parent;for(;i&&n===0;)n=Y(i.component.selection).length,i=i.parent;return n?{interactive:t>0||e.mark==="geoshape"||!!e.encoding.tooltip||!!e.markDef.tooltip}:null}class gI 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+ * https://github.com/Starcounter-Jack/JSON-Patch
+ * (c) 2017-2022 Joachim Wester
+ * MIT licensed
+ */var s3e=function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(i,r){i.__proto__=r}||function(i,r){for(var s in r)r.hasOwnProperty(s)&&(i[s]=r[s])},e(t,n)};return function(t,n){e(t,n);function i(){this.constructor=t}t.prototype=n===null?Object.create(n):(i.prototype=n.prototype,new i)}}(),o3e=Object.prototype.hasOwnProperty;function C6(e,t){return o3e.call(e,t)}function k6(e){if(Array.isArray(e)){for(var t=new Array(e.length),n=0;n=48&&i<=57){t++;continue}return!1}return!0}function Hu(e){return e.indexOf("/")===-1&&e.indexOf("~")===-1?e:e.replace(/~/g,"~0").replace(/\//g,"~1")}function BI(e){return e.replace(/~1/g,"/").replace(/~0/g,"~")}function $6(e){if(e===void 0)return!0;if(e){if(Array.isArray(e)){for(var t=0,n=e.length;t0&&u[c-1]=="constructor"))throw new TypeError("JSON-Patch: modifying `__proto__` or `constructor/prototype` prop is banned for security reasons, if this was on purpose, please set `banPrototypeModifications` flag false and pass it to this function. 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xe{constructor(t){super(),ve(this,t,Zxe,Xxe,ye,{pageHierarchy:0})}}const{Boolean:Qxe}=Sz;function yz(e,t,n){const i=e.slice();return i[5]=t[n],i}function e7e(e){var i;let t,n;return t=new Jxe({props:{pageHierarchy:F5((i=e[0])==null?void 0:i.components)}}),{c(){he(t.$$.fragment)},m(r,s){ce(t,r,s),n=!0},p(r,s){var a;const o={};s&1&&(o.pageHierarchy=F5((a=r[0])==null?void 0:a.components)),t.$set(o)},i(r){n||(D(t.$$.fragment,r),n=!0)},o(r){N(t.$$.fragment,r),n=!1},d(r){fe(t,r)}}}function bz(e){let t,n;return t=new Q6({props:{componentData:e[5]}}),{c(){he(t.$$.fragment)},m(i,r){ce(t,i,r),n=!0},p(i,r){const s={};r&1&&(s.componentData=i[5]),t.$set(s)},i(i){n||(D(t.$$.fragment,i),n=!0)},o(i){N(t.$$.fragment,i),n=!1},d(i){fe(t,i)}}}function t7e(e){var o;let t,n,i=Ue(((o=e[0])==null?void 0:o.components)||[]),r=[];for(let a=0;aN(r[a],1,1,()=>{r[a]=null});return{c(){for(let 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diff --git a/metaflow/plugins/cards/card_modules/renderer_tools.py b/metaflow/plugins/cards/card_modules/renderer_tools.py
index 6746e8fee02..16adf799024 100644
--- a/metaflow/plugins/cards/card_modules/renderer_tools.py
+++ b/metaflow/plugins/cards/card_modules/renderer_tools.py
@@ -40,6 +40,7 @@ def render_safely(func):
     This is a decorator that can be added to any `MetaflowCardComponent.render`
     The goal is to render subcomponents safely and ensure that they are JSON serializable.
     """
+
     # expects a renderer func
     def ret_func(self, *args, **kwargs):
         return _render_component_safely(self, func, True, *args, **kwargs)
diff --git a/metaflow/plugins/cards/card_modules/test_cards.py b/metaflow/plugins/cards/card_modules/test_cards.py
index b756fb37dbd..67a2ee533da 100644
--- a/metaflow/plugins/cards/card_modules/test_cards.py
+++ b/metaflow/plugins/cards/card_modules/test_cards.py
@@ -1,13 +1,20 @@
+import json
 from .card import MetaflowCard, MetaflowCardComponent
+from .renderer_tools import render_safely
 
 
 class TestStringComponent(MetaflowCardComponent):
+    REALTIME_UPDATABLE = True
+
     def __init__(self, text):
         self._text = text
 
     def render(self):
         return str(self._text)
 
+    def update(self, text):
+        self._text = text
+
 
 class TestPathSpecCard(MetaflowCard):
     type = "test_pathspec_card"
@@ -27,41 +34,41 @@ def render(self, task):
 class TestEditableCard(MetaflowCard):
     type = "test_editable_card"
 
-    seperator = "$&#!!@*"
+    separator = "$&#!!@*"
 
     ALLOW_USER_COMPONENTS = True
 
-    def __init__(self, options={}, components=[], graph=None):
+    def __init__(self, components=[], **kwargs):
         self._components = components
 
     def render(self, task):
-        return self.seperator.join([str(comp) for comp in self._components])
+        return self.separator.join([str(comp) for comp in self._components])
 
 
 class TestEditableCard2(MetaflowCard):
     type = "test_editable_card_2"
 
-    seperator = "$&#!!@*"
+    separator = "$&#!!@*"
 
     ALLOW_USER_COMPONENTS = True
 
-    def __init__(self, options={}, components=[], graph=None):
+    def __init__(self, components=[], **kwargs):
         self._components = components
 
     def render(self, task):
-        return self.seperator.join([str(comp) for comp in self._components])
+        return self.separator.join([str(comp) for comp in self._components])
 
 
 class TestNonEditableCard(MetaflowCard):
     type = "test_non_editable_card"
 
-    seperator = "$&#!!@*"
+    separator = "$&#!!@*"
 
-    def __init__(self, options={}, components=[], graph=None):
+    def __init__(self, components=[], **kwargs):
         self._components = components
 
     def render(self, task):
-        return self.seperator.join([str(comp) for comp in self._components])
+        return self.separator.join([str(comp) for comp in self._components])
 
 
 class TestMockCard(MetaflowCard):
@@ -98,3 +105,127 @@ def render(self, task):
 
         time.sleep(self._timeout)
         return "%s" % task.pathspec
+
+
+REFRESHABLE_HTML_TEMPLATE = """
+
+
+
    [PATHSPEC]
    
+
    [REPLACE_CONTENT_HERE]
    
+
+"""
+
+
+class TestJSONComponent(MetaflowCardComponent):
+
+    REALTIME_UPDATABLE = True
+
+    def __init__(self, data):
+        self._data = data
+
+    @render_safely
+    def render(self):
+        return self._data
+
+    def update(self, data):
+        self._data = data
+
+
+class TestRefreshCard(MetaflowCard):
+    """
+    This card takes no components and helps test the `current.card.refresh(data)` interface.
+    """
+
+    HTML_TEMPLATE = REFRESHABLE_HTML_TEMPLATE
+
+    RUNTIME_UPDATABLE = True
+
+    ALLOW_USER_COMPONENTS = True
+
+    # Not implementing Reload Policy here since the reload Policy is set to always
+    RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ALWAYS
+
+    type = "test_refresh_card"
+
+    def render(self, task) -> str:
+        return self._render_func(task, self.runtime_data)
+
+    def _render_func(self, task, data):
+        return self.HTML_TEMPLATE.replace(
+            "[REPLACE_CONTENT_HERE]", json.dumps(data["user"])
+        ).replace("[PATHSPEC]", task.pathspec)
+
+    def render_runtime(self, task, data):
+        return self._render_func(task, data)
+
+    def refresh(self, task, data):
+        return data
+
+
+import hashlib
+
+
+def _component_values_to_hash(components):
+    comma_str = ",".join(["".join(x) for v in components.values() for x in v])
+    return hashlib.sha256(comma_str.encode("utf-8")).hexdigest()
+
+
+class TestRefreshComponentCard(MetaflowCard):
+    """
+    This card takes components and helps test the `current.card.components["A"].update()`
+    interface
+    """
+
+    HTML_TEMPLATE = REFRESHABLE_HTML_TEMPLATE
+
+    RUNTIME_UPDATABLE = True
+
+    ALLOW_USER_COMPONENTS = True
+
+    # Not implementing Reload Policy here since the reload Policy is set to always
+    RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ONCHANGE
+
+    type = "test_component_refresh_card"
+
+    def __init__(self, components=[], **kwargs):
+        self._components = components
+
+    def render(self, task) -> str:
+        # Calling `render`/`render_runtime` wont require the `data` object
+        return self.HTML_TEMPLATE.replace(
+            "[REPLACE_CONTENT_HERE]", json.dumps(self._components)
+        ).replace("[PATHSPEC]", task.pathspec)
+
+    def render_runtime(self, task, data):
+        return self.render(task)
+
+    def refresh(self, task, data):
+        # Govers the information passed in the data update
+        return data["components"]
+
+    def reload_content_token(self, task, data):
+        if task.finished:
+            return "final"
+        return "runtime-%s" % _component_values_to_hash(data["components"])
+
+
+class TestImageCard(MetaflowCard):
+    """Card that renders a tiny PNG using ``TaskToDict.parse_image``."""
+
+    type = "test_image_card"
+
+    def render(self, task):
+        from .convert_to_native_type import TaskToDict
+        import base64
+
+        png_bytes = base64.b64decode(
+            "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR4nGNgYGBgAAAABQABRDE8UwAAAABJRU5ErkJggg=="
+        )
+        img_src = TaskToDict().parse_image(png_bytes)
+        return f""
diff --git a/metaflow/plugins/cards/card_resolver.py b/metaflow/plugins/cards/card_resolver.py
index d8366990d2f..e717005ff28 100644
--- a/metaflow/plugins/cards/card_resolver.py
+++ b/metaflow/plugins/cards/card_resolver.py
@@ -1,5 +1,3 @@
-from collections import namedtuple
-
 from .card_datastore import CardDatastore
 
 
diff --git a/metaflow/plugins/cards/card_server.py b/metaflow/plugins/cards/card_server.py
new file mode 100644
index 00000000000..d0050c6559e
--- /dev/null
+++ b/metaflow/plugins/cards/card_server.py
@@ -0,0 +1,386 @@
+import os
+import json
+from http.server import BaseHTTPRequestHandler
+from threading import Thread
+from multiprocessing import Pipe
+from multiprocessing.connection import Connection
+from urllib.parse import urlparse
+import time
+
+try:
+    from http.server import ThreadingHTTPServer
+except ImportError:
+    from socketserver import ThreadingMixIn
+    from http.server import HTTPServer
+
+    class ThreadingHTTPServer(ThreadingMixIn, HTTPServer):
+        daemon_threads = True
+
+
+from .card_client import CardContainer
+from .exception import CardNotPresentException
+from .card_resolver import resolve_paths_from_task
+from metaflow import namespace
+from metaflow.exception import MetaflowNotFound
+from metaflow.plugins.datastores.local_storage import LocalStorage
+
+VIEWER_PATH = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "card_viewer", "viewer.html"
+)
+
+CARD_VIEWER_HTML = open(VIEWER_PATH).read()
+
+TASK_CACHE = {}
+
+_ClickLogger = None
+
+
+class RunWatcher(Thread):
+    """
+    A thread that watches for new runs and sends the run_id to the
+    card server when a new run is detected. It observes the `latest_run`
+    file in the `.metaflow/` directory.
+    """
+
+    def __init__(self, flow_name, connection: Connection):
+        super().__init__()
+
+        self.daemon = True
+        self._connection = connection
+        self._flow_name = flow_name
+
+        self._watch_file = self._initialize_watch_file()
+        if self._watch_file is None:
+            _ClickLogger(
+                "Warning: Could not initialize watch file location.", fg="yellow"
+            )
+
+        self._current_run_id = self.get_run_id()
+
+    def _initialize_watch_file(self):
+        local_root = LocalStorage.datastore_root
+        if local_root is None:
+            local_root = LocalStorage.get_datastore_root_from_config(
+                lambda _: None, create_on_absent=False
+            )
+
+        return (
+            os.path.join(local_root, self._flow_name, "latest_run")
+            if local_root
+            else None
+        )
+
+    def get_run_id(self):
+        # Try to reinitialize watch file if needed
+        if not self._watch_file:
+            self._watch_file = self._initialize_watch_file()
+
+        # Early return if watch file is still None or doesn't exist
+        if not (self._watch_file and os.path.exists(self._watch_file)):
+            return None
+
+        try:
+            with open(self._watch_file, "r") as f:
+                return f.read().strip()
+        except (IOError, OSError) as e:
+            _ClickLogger(
+                "Warning: Could not read run ID from watch file: %s" % e, fg="yellow"
+            )
+            return None
+
+    def watch(self):
+        while True:
+            run_id = self.get_run_id()
+            if run_id != self._current_run_id:
+                self._current_run_id = run_id
+                self._connection.send(run_id)
+            time.sleep(2)
+
+    def run(self):
+        self.watch()
+
+
+class CardServerOptions:
+    def __init__(
+        self,
+        flow_name,
+        run_object,
+        only_running,
+        follow_resumed,
+        flow_datastore,
+        follow_new_runs,
+        max_cards=20,
+        poll_interval=5,
+    ):
+        from metaflow import Run
+
+        self.RunClass = Run
+        self.run_object = run_object
+
+        self.flow_name = flow_name
+        self.only_running = only_running
+        self.follow_resumed = follow_resumed
+        self.flow_datastore = flow_datastore
+        self.max_cards = max_cards
+        self.follow_new_runs = follow_new_runs
+        self.poll_interval = poll_interval
+
+        self._parent_conn, self._child_conn = Pipe()
+
+    def refresh_run(self):
+        if not self.follow_new_runs:
+            return False
+        if not self.parent_conn.poll():
+            return False
+        run_id = self.parent_conn.recv()
+        if run_id is None:
+            return False
+        namespace(None)
+        try:
+            self.run_object = self.RunClass(f"{self.flow_name}/{run_id}")
+            return True
+        except MetaflowNotFound:
+            return False
+
+    @property
+    def parent_conn(self):
+        return self._parent_conn
+
+    @property
+    def child_conn(self):
+        return self._child_conn
+
+
+def cards_for_task(
+    flow_datastore, task_pathspec, card_type=None, card_hash=None, card_id=None
+):
+    try:
+        paths, card_ds = resolve_paths_from_task(
+            flow_datastore,
+            task_pathspec,
+            type=card_type,
+            hash=card_hash,
+            card_id=card_id,
+        )
+    except CardNotPresentException:
+        return None
+    for card in CardContainer(paths, card_ds, origin_pathspec=None):
+        yield card
+
+
+def cards_for_run(
+    flow_datastore,
+    run_object,
+    only_running,
+    card_type=None,
+    card_hash=None,
+    card_id=None,
+    max_cards=20,
+):
+    curr_idx = 0
+    for step in run_object.steps():
+        for task in step.tasks():
+            if only_running and task.finished:
+                continue
+            card_generator = cards_for_task(
+                flow_datastore,
+                task.pathspec,
+                card_type=card_type,
+                card_hash=card_hash,
+                card_id=card_id,
+            )
+            if card_generator is None:
+                continue
+            for card in card_generator:
+                curr_idx += 1
+                if curr_idx >= max_cards:
+                    raise StopIteration
+                yield task.pathspec, card
+
+
+class CardViewerRoutes(BaseHTTPRequestHandler):
+
+    card_options: CardServerOptions = None
+
+    run_watcher: RunWatcher = None
+
+    def do_GET(self):
+        try:
+            _, path = self.path.split("/", 1)
+            try:
+                prefix, suffix = path.split("/", 1)
+            except:
+                prefix = path
+                suffix = None
+        except:
+            prefix = None
+        if prefix in self.ROUTES:
+            self.ROUTES[prefix](self, suffix)
+        else:
+            self._response(open(VIEWER_PATH).read().encode("utf-8"))
+
+    def get_runinfo(self, suffix):
+        run_id_changed = self.card_options.refresh_run()
+        if run_id_changed:
+            self.log_message(
+                "RunID changed in the background to %s"
+                % self.card_options.run_object.pathspec
+            )
+            _ClickLogger(
+                "RunID changed in the background to %s"
+                % self.card_options.run_object.pathspec,
+                fg="blue",
+            )
+
+        if self.card_options.run_object is None:
+            self._response(
+                {"status": "No Run Found", "flow": self.card_options.flow_name},
+                code=404,
+                is_json=True,
+            )
+            return
+
+        task_card_generator = cards_for_run(
+            self.card_options.flow_datastore,
+            self.card_options.run_object,
+            self.card_options.only_running,
+            max_cards=self.card_options.max_cards,
+        )
+        flow_name = self.card_options.run_object.parent.id
+        run_id = self.card_options.run_object.id
+        cards = []
+        for pathspec, card in task_card_generator:
+            step, task = pathspec.split("/")[-2:]
+            _task = self.card_options.run_object[step][task]
+            task_finished = True if _task.finished else False
+            cards.append(
+                dict(
+                    task=pathspec,
+                    label="%s/%s %s" % (step, task, card.hash),
+                    card_object=dict(
+                        hash=card.hash,
+                        type=card.type,
+                        path=card.path,
+                        id=card.id,
+                    ),
+                    finished=task_finished,
+                    card="%s/%s" % (pathspec, card.hash),
+                )
+            )
+        resp = {
+            "status": "ok",
+            "flow": flow_name,
+            "run_id": run_id,
+            "cards": cards,
+            "poll_interval": self.card_options.poll_interval,
+        }
+        self._response(resp, is_json=True)
+
+    def get_card(self, suffix):
+        _suffix = urlparse(self.path).path
+        _, flow, run_id, step, task_id, card_hash = _suffix.strip("/").split("/")
+
+        pathspec = "/".join([flow, run_id, step, task_id])
+        cards = list(
+            cards_for_task(
+                self.card_options.flow_datastore, pathspec, card_hash=card_hash
+            )
+        )
+        if len(cards) == 0:
+            self._response({"status": "Card Not Found"}, code=404)
+            return
+        selected_card = cards[0]
+        self._response(selected_card.get().encode("utf-8"))
+
+    def get_data(self, suffix):
+        _suffix = urlparse(self.path).path
+        _, flow, run_id, step, task_id, card_hash = _suffix.strip("/").split("/")
+        pathspec = "/".join([flow, run_id, step, task_id])
+        cards = list(
+            cards_for_task(
+                self.card_options.flow_datastore, pathspec, card_hash=card_hash
+            )
+        )
+        if len(cards) == 0:
+            self._response(
+                {
+                    "status": "Card Not Found",
+                },
+                is_json=True,
+                code=404,
+            )
+            return
+
+        status = "ok"
+        try:
+            task_object = self.card_options.run_object[step][task_id]
+        except KeyError:
+            return self._response(
+                {"status": "Task Not Found", "is_complete": False},
+                is_json=True,
+                code=404,
+            )
+
+        is_complete = task_object.finished
+        selected_card = cards[0]
+        card_data = selected_card.get_data()
+        if card_data is not None:
+            self.log_message(
+                "Task Success: %s, Task Finished: %s"
+                % (task_object.successful, is_complete)
+            )
+            if not task_object.successful and is_complete:
+                status = "Task Failed"
+            self._response(
+                {"status": status, "payload": card_data, "is_complete": is_complete},
+                is_json=True,
+            )
+        else:
+            self._response(
+                {"status": "ok", "is_complete": is_complete},
+                is_json=True,
+                code=404,
+            )
+
+    def _response(self, body, is_json=False, code=200):
+        self.send_response(code)
+        mime = "application/json" if is_json else "text/html"
+        self.send_header("Content-type", mime)
+        self.end_headers()
+        if is_json:
+            self.wfile.write(json.dumps(body).encode("utf-8"))
+        else:
+            self.wfile.write(body)
+
+    ROUTES = {"runinfo": get_runinfo, "card": get_card, "data": get_data}
+
+
+def _is_debug_mode():
+    debug_flag = os.environ.get("METAFLOW_DEBUG_CARD_SERVER")
+    if debug_flag is None:
+        return False
+    return debug_flag.lower() in ["true", "1"]
+
+
+def create_card_server(card_options: CardServerOptions, port, ctx_obj):
+    CardViewerRoutes.card_options = card_options
+    global _ClickLogger
+    _ClickLogger = ctx_obj.echo
+    if card_options.follow_new_runs:
+        CardViewerRoutes.run_watcher = RunWatcher(
+            card_options.flow_name, card_options.child_conn
+        )
+        CardViewerRoutes.run_watcher.start()
+    server_addr = ("", port)
+    ctx_obj.echo(
+        "Starting card server on port %d " % (port),
+        fg="green",
+        bold=True,
+    )
+    # Disable logging if not in debug mode
+    if not _is_debug_mode():
+        CardViewerRoutes.log_request = lambda *args, **kwargs: None
+        CardViewerRoutes.log_message = lambda *args, **kwargs: None
+
+    server = ThreadingHTTPServer(server_addr, CardViewerRoutes)
+    server.serve_forever()
diff --git a/metaflow/plugins/cards/card_viewer/viewer.html b/metaflow/plugins/cards/card_viewer/viewer.html
new file mode 100644
index 00000000000..00a794facdc
--- /dev/null
+++ b/metaflow/plugins/cards/card_viewer/viewer.html
@@ -0,0 +1,344 @@
+
+
+  
+    
+    
+    Metaflow Run
+    
+  
+  
+    
    
+      
    Metaflow Run
    
+      
    
+        
+      
    
+      
    
+        
    Initializing
    
+        
+      
    
+    
    
+    
    
+      
+    
    
+
+    
+  
+
diff --git a/metaflow/plugins/cards/component_serializer.py b/metaflow/plugins/cards/component_serializer.py
index 9451cd67406..697934099d5 100644
--- a/metaflow/plugins/cards/component_serializer.py
+++ b/metaflow/plugins/cards/component_serializer.py
@@ -1,8 +1,17 @@
 from .card_modules import MetaflowCardComponent
+from .card_modules.card import create_component_id
 from .card_modules.basic import ErrorComponent, SectionComponent
-from .card_modules.components import UserComponent
+from .card_modules.components import (
+    UserComponent,
+    StubComponent,
+)
+from .exception import ComponentOverwriteNotSupportedException
+from metaflow.metaflow_config import RUNTIME_CARD_RENDER_INTERVAL
 import uuid
 import json
+import platform
+from collections import OrderedDict
+import time
 
 _TYPE = type
 
@@ -16,11 +25,367 @@ def get_card_class(card_type):
     return filtered_cards[0]
 
 
+def _component_is_valid(component):
+    """
+    Validates if the component is of the correct class.
+    """
+    return issubclass(type(component), MetaflowCardComponent)
+
+
+def warning_message(message, logger=None, ts=False):
+    if logger:
+        msg = "[@card WARNING] %s" % message
+        logger(msg, timestamp=ts, bad=True)
+
+
 class WarningComponent(ErrorComponent):
     def __init__(self, warning_message):
         super().__init__("@card WARNING", warning_message)
 
 
+class ComponentStore:
+    """
+    The `ComponentStore` object helps store the components for a single card in memory.
+    This class has combination of a array/dictionary like interfaces to access/change the stored components.
+
+    It exposes the `append` /`extend` methods (like an array) to add components.
+    It also exposes the `__getitem__`/`__setitem__` methods (like a dictionary) to access the components by their Ids.
+    """
+
+    def _set_component_map(self):
+        """
+        The `_component_map` attribute is supposed to be a dictionary so that we can access the components by their ids.
+        But we also want to maintain order in which components are inserted since all of these components are going to be visible on a UI.
+        Since python3.6 dictionaries are ordered by default so we can use the default python `dict`.
+        """
+        self._component_map = {}
+
+    def __init__(self, logger, card_type=None, components=None, user_set_id=None):
+        self._logger = logger
+        self._card_type = card_type
+        self._user_set_id = user_set_id
+        self._layout_last_changed_on = time.time()
+        self._set_component_map()
+        if components is not None:
+            for c in list(components):
+                self._store_component(c, component_id=None)
+
+    @property
+    def layout_last_changed_on(self):
+        """This property helps the CardComponentManager identify when the layout of the card has changed so that it can trigger a re-render of the card."""
+        return self._layout_last_changed_on
+
+    def _realtime_updateable_components(self):
+        for c in self._component_map.values():
+            if c.REALTIME_UPDATABLE:
+                yield c
+
+    def _store_component(self, component, component_id=None):
+        if not _component_is_valid(component):
+            warning_message(
+                "Component (%s) is not a valid MetaflowCardComponent. It will not be stored."
+                % str(component),
+                self._logger,
+            )
+            return
+        if component_id is not None:
+            component.component_id = component_id
+        elif component.component_id is None:
+            component.component_id = create_component_id(component)
+        setattr(component, "_logger", self._logger)
+        self._component_map[component.component_id] = component
+        self._layout_last_changed_on = time.time()
+
+    def _remove_component(self, component_id):
+        del self._component_map[component_id]
+        self._layout_last_changed_on = time.time()
+
+    def __iter__(self):
+        return iter(self._component_map.values())
+
+    def __setitem__(self, key, value):
+        if self._component_map.get(key) is not None:
+            # This is the equivalent of calling `current.card.components["mycomponent"] = Markdown("## New Component")`
+            # We don't support the replacement of individual components in the card.
+            # Instead we support rewriting the entire component array instead.
+            # So users can run `current.card[ID] = [FirstComponent, SecondComponent]` which will instantiate an entirely
+            # new ComponentStore.
+            # So we should throw an error over here, since it is clearly an operation which is not supported.
+            raise ComponentOverwriteNotSupportedException(
+                key, self._user_set_id, self._card_type
+            )
+        else:
+            self._store_component(value, component_id=key)
+
+    def __getitem__(self, key):
+        if key not in self._component_map:
+            # Store a stub-component in place since `key` doesnt exist.
+            # If the user does a `current.card.append(component, id=key)`
+            # then the stub component will be replaced by the actual component.
+            self._store_component(StubComponent(key), component_id=key)
+        return self._component_map[key]
+
+    def __delitem__(self, key):
+        if key not in self._component_map:
+            raise KeyError(
+                "MetaflowCardComponent with id `%s` not found. Available components for the cards include : %s"
+                % (key, ", ".join(self.keys()))
+            )
+        self._remove_component(key)
+
+    def __contains__(self, key):
+        return key in self._component_map
+
+    def append(self, component, id=None):
+        self._store_component(component, component_id=id)
+
+    def extend(self, components):
+        for c in components:
+            self._store_component(c, component_id=None)
+
+    def clear(self):
+        self._component_map.clear()
+
+    def keys(self):
+        return list(self._component_map.keys())
+
+    def values(self):
+        return self._component_map.values()
+
+    def __str__(self):
+        return "Card components present in the card: `%s` " % ("`, `".join(self.keys()))
+
+    def __len__(self):
+        return len(self._component_map)
+
+
+def _object_is_json_serializable(obj):
+    try:
+        json.dumps(obj)
+        return True
+    except TypeError as e:
+        return False
+
+
+class CardComponentManager:
+    """
+    This class manages the card's state for a single card.
+    - It uses the `ComponentStore` to manage the storage of the components
+    - It exposes methods to add, remove and access the components.
+    - It exposes a `refresh` method that will allow refreshing a card with new data
+    for realtime(ish) updates.
+    - The `CardComponentCollector` exposes convenience methods similar to this class for a default
+    editable card. These methods include :
+        - `append`
+        - `extend`
+        - `clear`
+        - `refresh`
+        - `components`
+        - `__iter__`
+
+    ## Usage Patterns :
+
+    ```python
+    current.card["mycardid"].append(component, id="comp123")
+    current.card["mycardid"].extend([component])
+    current.card["mycardid"].refresh(data) # refreshes the card with new data
+    current.card["mycardid"].components["comp123"] # returns the component with id "comp123"
+    current.card["mycardid"].components["comp123"].update()
+    current.card["mycardid"].components.clear() # Wipe all the components
+    del current.card["mycardid"].components["mycomponentid"] # Delete a component
+    ```
+    """
+
+    def __init__(
+        self,
+        card_uuid,
+        decorator_attributes,
+        card_creator,
+        components=None,
+        logger=None,
+        no_warnings=False,
+        user_set_card_id=None,
+        runtime_card=False,
+        card_options=None,
+        refresh_interval=5,
+    ):
+        self._card_creator_args = dict(
+            card_uuid=card_uuid,
+            user_set_card_id=user_set_card_id,
+            runtime_card=runtime_card,
+            decorator_attributes=decorator_attributes,
+            card_options=card_options,
+            logger=logger,
+        )
+        self._card_creator = card_creator
+        self._refresh_interval = refresh_interval
+        self._last_layout_change = None
+        self._latest_user_data = None
+        self._last_refresh = 0
+        self._last_render = 0
+        self._render_seq = 0
+        self._logger = logger
+        self._no_warnings = no_warnings
+        self._warn_once = {
+            "update": {},
+            "not_implemented": {},
+        }
+        card_type = decorator_attributes["type"]
+
+        if components is None:
+            self._components = ComponentStore(
+                logger=self._logger,
+                card_type=card_type,
+                user_set_id=user_set_card_id,
+                components=None,
+            )
+        else:
+            self._components = ComponentStore(
+                logger=self._logger,
+                card_type=card_type,
+                user_set_id=user_set_card_id,
+                components=list(components),
+            )
+
+    def append(self, component, id=None):
+        self._components.append(component, id=id)
+
+    def extend(self, components):
+        self._components.extend(components)
+
+    def clear(self):
+        self._components.clear()
+
+    def _card_proc(self, mode, sync=False):
+        self._card_creator.create(**self._card_creator_args, mode=mode, sync=sync)
+
+    def refresh(self, data=None, force=False):
+        self._latest_user_data = data
+        nu = time.time()
+        first_render = True if self._last_render == 0 else False
+
+        if nu - self._last_refresh < self._refresh_interval:
+            # rate limit refreshes: silently ignore requests that
+            # happen too frequently
+            return
+        self._last_refresh = nu
+
+        # This block of code will render the card in `render_runtime` mode when:
+        # 1. refresh is called with `force=True`
+        # 2. Layout of the components in the card has changed. i.e. The actual elements in the component array have changed.
+        # 3. The last time the card was rendered was more the minimum interval after which they should be rendered.
+        last_rendered_before_minimum_interval = (
+            nu - self._last_refresh
+        ) > RUNTIME_CARD_RENDER_INTERVAL
+        layout_has_changed = (
+            self._last_layout_change != self.components.layout_last_changed_on
+            or self._last_layout_change is None
+        )
+        if force or last_rendered_before_minimum_interval or layout_has_changed:
+            self._render_seq += 1
+            self._last_render = nu
+            self._card_proc("render_runtime")
+            # The below `if not first_render` condition is a special case for the following scenario:
+            # Lets assume the case that the user is only doing `current.card.append` followed by `refresh`.
+            # In this case, there will be no process executed in `refresh` mode since `layout_has_changed`
+            # will always be true and as a result there will be no data update that informs the UI of the RELOAD_TOKEN change.
+            # This will cause the UI to seek for the data update object but will constantly find None. So if it is not
+            # the first render then we should also have a `refresh` call followed by a `render_runtime` call so
+            # that the UI can always be updated with the latest data.
+            if not first_render:
+                # For the general case, the CardCreator's ProcessManager run's the `refresh` / `render_runtime` in a asynchronous manner.
+                # Due to this when the `render_runtime` call is happening, an immediately subsequent call to `refresh` will not be able to
+                # execute since the card-process manager will be busy executing the `render_runtime` call and ignore the `refresh` call.
+                # Hence we need to pass the `sync=True` argument to the `refresh` call so that the `refresh` call is executed synchronously and waits for the
+                # `render_runtime` call to finish.
+                self._card_proc("refresh", sync=True)
+            # We set self._last_layout_change so that when self._last_layout_change is not the same
+            # as `self.components.layout_last_changed_on`, then the component array itself
+            # has been modified. So we should force a re-render of the card.
+            self._last_layout_change = self.components.layout_last_changed_on
+        else:
+            self._card_proc("refresh")
+
+    @property
+    def components(self):
+        return self._components
+
+    def _warning(self, message):
+        msg = "[@card WARNING] %s" % message
+        self._logger(msg, timestamp=False, bad=True)
+
+    def _get_latest_data(self, final=False, mode=None):
+        """
+        This function returns the data object that is passed down to :
+        - `MetaflowCard.render_runtime`
+        - `MetaflowCard.refresh`
+        - `MetaflowCard.reload_content_token`
+
+        The return value of this function contains all the necessary state information for Metaflow Cards to make decisions on the following:
+        1. What components are rendered
+        2. Should the card be reloaded on the UI
+        3. What data to pass down to the card.
+
+        Parameters
+        ----------
+        final : bool, optional
+            If True, it implies that the final "rendering" sequence is taking place (which involves calling a `render` and a `refresh` function.)
+            When final is set the `render_seq` is set to "final" so that the reload token in the card is set to final
+            and the card is not reloaded again on the user interface.
+        mode : str
+            This parameter is passed down to the object returned by this function. Can be one of `render_runtime` / `refresh` / `render`
+
+        Returns
+        -------
+        dict
+            A dictionary of the form :
+            ```python
+            {
+                "user": user_data, # any passed to `current.card.refresh` function
+                "components": component_dict, # all rendered REALTIME_UPDATABLE components
+                "render_seq": seq,
+                # `render_seq` is a counter that is incremented every time `render_runtime` is called.
+                # If a metaflow card has a RELOAD_POLICY_ALWAYS set then the reload token will be set to this value
+                # so that the card reload on the UI everytime `render_runtime` is called.
+                "component_update_ts": self.components.layout_last_changed_on,
+                # `component_update_ts` is the timestamp of the last time the component array was modified.
+                # `component_update_ts` can get used by the `reload_content_token` to make decisions on weather to
+                # reload the card on the UI when component array has changed.
+                "mode": mode,
+            }
+            ```
+        """
+        seq = "final" if final else self._render_seq
+        # Extract all the runtime-updatable components as a dictionary
+        component_dict = {}
+        for component in self._components._realtime_updateable_components():
+            rendered_comp = _render_card_component(component)
+            if rendered_comp is not None:
+                component_dict.update({component.component_id: rendered_comp})
+
+        # Verify _latest_user_data is json serializable
+        user_data = {}
+        if self._latest_user_data is not None and not _object_is_json_serializable(
+            self._latest_user_data
+        ):
+            self._warning(
+                "Data provided to `refresh` is not JSON serializable. It will be ignored."
+            )
+        else:
+            user_data = self._latest_user_data
+
+        return {
+            "user": user_data,
+            "components": component_dict,
+            "render_seq": seq,
+            "component_update_ts": self.components.layout_last_changed_on,
+            "mode": mode,
+        }
+
+    def __iter__(self):
+        return iter(self._components)
+
+
 class CardComponentCollector:
     """
     This class helps collect `MetaflowCardComponent`s during runtime execution
@@ -42,25 +407,34 @@ class CardComponentCollector:
         - [x] by looking it up by its type, e.g. `current.card.get(type='pytorch')`.
     """
 
-    def __init__(self, logger=None):
+    def __init__(self, logger=None, card_creator=None):
         from metaflow.metaflow_config import CARD_NO_WARNING
 
-        self._cards_components = (
+        self._card_component_store = (
+            # Each key in the dictionary is the UUID of an individual card.
+            # value is of type `CardComponentManager`, holding a list of MetaflowCardComponents for that particular card
             {}
-        )  # a dict with key as uuid and value as a list of MetaflowCardComponent.
+        )
         self._cards_meta = (
             {}
         )  # a `dict` of (card_uuid, `dict)` holding all metadata about all @card decorators on the `current` @step.
         self._card_id_map = {}  # card_id to uuid map for all cards with ids
         self._logger = logger
+        self._card_creator = card_creator
         # `self._default_editable_card` holds the uuid of the card that is default editable. This card has access to `append`/`extend` methods of `self`
         self._default_editable_card = None
-        self._warned_once = {"__getitem__": {}, "append": False, "extend": False}
+        self._warned_once = {
+            "__getitem__": {},
+            "append": False,
+            "extend": False,
+            "update": False,
+            "update_no_id": False,
+        }
         self._no_warnings = True if CARD_NO_WARNING else False
 
     @staticmethod
     def create_uuid():
-        return str(uuid.uuid4())
+        return str(uuid.uuid4()).replace("-", "")
 
     def _log(self, *args, **kwargs):
         if self._logger:
@@ -70,9 +444,13 @@ def _add_card(
         self,
         card_type,
         card_id,
+        decorator_attributes,
+        card_options,
         editable=False,
         customize=False,
         suppress_warnings=False,
+        runtime_card=False,
+        refresh_interval=5,
     ):
         """
         This function helps collect cards from all the card decorators.
@@ -95,9 +473,24 @@ def _add_card(
             editable=editable,
             customize=customize,
             suppress_warnings=suppress_warnings,
+            runtime_card=runtime_card,
+            decorator_attributes=decorator_attributes,
+            card_options=card_options,
+            refresh_interval=refresh_interval,
         )
         self._cards_meta[card_uuid] = card_metadata
-        self._cards_components[card_uuid] = []
+        self._card_component_store[card_uuid] = CardComponentManager(
+            card_uuid,
+            decorator_attributes,
+            self._card_creator,
+            components=None,
+            logger=self._logger,
+            no_warnings=self._no_warnings,
+            user_set_card_id=card_id,
+            runtime_card=runtime_card,
+            card_options=card_options,
+            refresh_interval=refresh_interval,
+        )
         return card_metadata
 
     def _warning(self, message):
@@ -107,9 +500,9 @@ def _warning(self, message):
     def _add_warning_to_cards(self, warn_msg):
         if self._no_warnings:
             return
-        for card_id in self._cards_components:
+        for card_id in self._card_component_store:
             if not self._cards_meta[card_id]["suppress_warnings"]:
-                self._cards_components[card_id].append(WarningComponent(warn_msg))
+                self._card_component_store[card_id].append(WarningComponent(warn_msg))
 
     def get(self, type=None):
         """`get`
@@ -128,7 +521,7 @@ def get(self, type=None):
             for card_meta in self._cards_meta.values()
             if card_meta["type"] == card_type
         ]
-        return [self._cards_components[uuid] for uuid in card_uuids]
+        return [self._card_component_store[uuid] for uuid in card_uuids]
 
     def _finalize(self):
         """
@@ -229,13 +622,13 @@ def __getitem__(self, key):
 
         Returns
         -------
-        CardComponentCollector
+        CardComponentManager
             An object with `append` and `extend` calls which allow you to
             add components to the chosen card.
         """
         if key in self._card_id_map:
             card_uuid = self._card_id_map[key]
-            return self._cards_components[card_uuid]
+            return self._card_component_store[card_uuid]
         if key not in self._warned_once["__getitem__"]:
             _warn_msg = [
                 "`current.card['%s']` is not present. Please set the `id` argument in @card to '%s' to access `current.card['%s']`."
@@ -246,6 +639,7 @@ def __getitem__(self, key):
             self._warning(" ".join(_warn_msg))
             self._add_warning_to_cards("\n".join(_warn_msg))
             self._warned_once["__getitem__"][key] = True
+
         return []
 
     def __setitem__(self, key, value):
@@ -263,7 +657,7 @@ def __setitem__(self, key, value):
         key: str
             Card ID.
 
-        value: List[CardComponent]
+        value: List[MetaflowCardComponent]
             List of card components to assign to this card.
         """
         if key in self._card_id_map:
@@ -275,7 +669,18 @@ def __setitem__(self, key, value):
                 )
                 self._warning(_warning_msg)
                 return
-            self._cards_components[card_uuid] = value
+            self._card_component_store[card_uuid] = CardComponentManager(
+                card_uuid,
+                self._cards_meta[card_uuid]["decorator_attributes"],
+                self._card_creator,
+                components=value,
+                logger=self._logger,
+                no_warnings=self._no_warnings,
+                user_set_card_id=key,
+                card_options=self._cards_meta[card_uuid]["card_options"],
+                runtime_card=self._cards_meta[card_uuid]["runtime_card"],
+                refresh_interval=self._cards_meta[card_uuid]["refresh_interval"],
+            )
             return
 
         self._warning(
@@ -283,18 +688,18 @@ def __setitem__(self, key, value):
             % (key, key, key)
         )
 
-    def append(self, component):
+    def append(self, component, id=None):
         """
         Appends a component to the current card.
 
         Parameters
         ----------
-        component : CardComponent
+        component : MetaflowCardComponent
             Card component to add to this card.
         """
         if self._default_editable_card is None:
             if (
-                len(self._cards_components) == 1
+                len(self._card_component_store) == 1
             ):  # if there is one card which is not the _default_editable_card then the card is not editable
                 card_type = list(self._cards_meta.values())[0]["type"]
                 if list(self._cards_meta.values())[0]["exists"]:
@@ -324,7 +729,7 @@ def append(self, component):
                 self._warned_once["append"] = True
 
             return
-        self._cards_components[self._default_editable_card].append(component)
+        self._card_component_store[self._default_editable_card].append(component, id=id)
 
     def extend(self, components):
         """
@@ -332,12 +737,12 @@ def extend(self, components):
 
         Parameters
         ----------
-        component : Iterator[CardComponent]
+        component : Iterator[MetaflowCardComponent]
             Card components to add to this card.
         """
         if self._default_editable_card is None:
             # if there is one card which is not the _default_editable_card then the card is not editable
-            if len(self._cards_components) == 1:
+            if len(self._card_component_store) == 1:
                 card_type = list(self._cards_meta.values())[0]["type"]
                 _warning_msg = [
                     "Card of type `%s` is not an editable card." % card_type,
@@ -357,7 +762,52 @@ def extend(self, components):
 
             return
 
-        self._cards_components[self._default_editable_card].extend(components)
+        self._card_component_store[self._default_editable_card].extend(components)
+
+    @property
+    def components(self):
+        # FIXME: document
+        if self._default_editable_card is None:
+            if len(self._card_component_store) == 1:
+                card_type = list(self._cards_meta.values())[0]["type"]
+                _warning_msg = [
+                    "Card of type `%s` is not an editable card." % card_type,
+                    "Components list will not be updated and `current.card.components` will not work for any call during this runtime execution.",
+                    "Please use an editable card",  # todo : link to documentation
+                ]
+            else:
+                _warning_msg = [
+                    "`current.card.components` cannot disambiguate between multiple @card decorators.",
+                    "Components list will not be accessible and `current.card.components` will not work for any call during this runtime execution.",
+                    "To fix this set the `id` argument in all @card when using multiple @card decorators over a single @step and reference `current.card[ID].components`",  # todo : Add Link to documentation
+                    "to update/access the appropriate card component.",
+                ]
+            if not self._warned_once["components"]:
+                self._warning(" ".join(_warning_msg))
+                self._warned_once["components"] = True
+            return
+
+        return self._card_component_store[self._default_editable_card].components
+
+    def clear(self):
+        # FIXME: document
+        if self._default_editable_card is not None:
+            self._card_component_store[self._default_editable_card].clear()
+
+    def refresh(self, *args, **kwargs):
+        # FIXME: document
+        if self._default_editable_card is not None:
+            self._card_component_store[self._default_editable_card].refresh(
+                *args, **kwargs
+            )
+
+    def _get_latest_data(self, card_uuid, final=False, mode=None):
+        """
+        Returns latest data so it can be used in the final render() call
+        """
+        return self._card_component_store[card_uuid]._get_latest_data(
+            final=final, mode=mode
+        )
 
     def _serialize_components(self, card_uuid):
         """
@@ -366,36 +816,43 @@ def _serialize_components(self, card_uuid):
         don't render safely then we don't add them to the final list of serialized functions
         """
         serialized_components = []
-        if card_uuid not in self._cards_components:
+        if card_uuid not in self._card_component_store:
             return []
         has_user_components = any(
             [
                 issubclass(type(component), UserComponent)
-                for component in self._cards_components[card_uuid]
+                for component in self._card_component_store[card_uuid]
             ]
         )
-        for component in self._cards_components[card_uuid]:
-            if not issubclass(type(component), MetaflowCardComponent):
-                continue
-            try:
-                rendered_obj = component.render()
-            except:
+        for component in self._card_component_store[card_uuid]:
+            rendered_obj = _render_card_component(component)
+            if rendered_obj is None:
                 continue
-            else:
-                if not (type(rendered_obj) == str or type(rendered_obj) == dict):
-                    continue
-                else:
-                    # Since `UserComponent`s are safely_rendered using render_tools.py
-                    # we don't need to check JSON serialization as @render_tools.render_safely
-                    # decorator ensures this check so there is no need to re-serialize
-                    if not issubclass(type(component), UserComponent):
-                        try:  # check if rendered object is json serializable.
-                            json.dumps(rendered_obj)
-                        except (TypeError, OverflowError) as e:
-                            continue
-                serialized_components.append(rendered_obj)
+            serialized_components.append(rendered_obj)
         if has_user_components and len(serialized_components) > 0:
             serialized_components = [
                 SectionComponent(contents=serialized_components).render()
             ]
         return serialized_components
+
+
+def _render_card_component(component):
+    if not _component_is_valid(component):
+        return None
+    try:
+        rendered_obj = component.render()
+    except:
+        return None
+    else:
+        if not (type(rendered_obj) == str or type(rendered_obj) == dict):
+            return None
+        else:
+            # Since `UserComponent`s are safely_rendered using render_tools.py
+            # we don't need to check JSON serialization as @render_tools.render_safely
+            # decorator ensures this check so there is no need to re-serialize
+            if not issubclass(type(component), UserComponent):
+                try:  # check if rendered object is json serializable.
+                    json.dumps(rendered_obj)
+                except (TypeError, OverflowError) as e:
+                    return None
+        return rendered_obj
diff --git a/metaflow/plugins/cards/exception.py b/metaflow/plugins/cards/exception.py
index 0b9188b4475..fdc96f86e2f 100644
--- a/metaflow/plugins/cards/exception.py
+++ b/metaflow/plugins/cards/exception.py
@@ -116,7 +116,7 @@ def __init__(self, task):
         super(UnresolvableDatastoreException, self).__init__(msg)
 
 
-class IncorrectArguementException(MetaflowException):
+class IncorrectArgumentException(MetaflowException):
     headline = (
         "`get_cards` function requires a `Task` object or pathspec as an argument"
     )
@@ -138,3 +138,22 @@ def __init__(self, pthspec):
             % pthspec
         )
         super().__init__(msg=msg, lineno=None)
+
+
+class ComponentOverwriteNotSupportedException(MetaflowException):
+    headline = "Component overwrite is not supported"
+
+    def __init__(self, component_id, card_id, card_type):
+        id_str = ""
+        if card_id is not None:
+            id_str = "id='%s'" % card_id
+        msg = (
+            "Card component overwrite is not supported. "
+            "Component with id %s already exists in the @card(type='%s', %s). \n"
+            "Instead of calling `current.card.components[ID] = MyComponent`. "
+            "You can overwrite the entire component Array by calling "
+            "`current.card.components = [MyComponent]`"
+        ) % (component_id, card_type, id_str)
+        super().__init__(
+            msg=msg,
+        )
diff --git a/metaflow/plugins/cards/metadata.py b/metaflow/plugins/cards/metadata.py
new file mode 100644
index 00000000000..4b6d29fd277
--- /dev/null
+++ b/metaflow/plugins/cards/metadata.py
@@ -0,0 +1,22 @@
+import json
+from metaflow.metadata_provider import MetaDatum
+
+
+def _save_metadata(
+    metadata_provider,
+    run_id,
+    step_name,
+    task_id,
+    attempt_id,
+    card_uuid,
+    save_metadata,
+):
+    entries = [
+        MetaDatum(
+            field=card_uuid,
+            value=json.dumps(save_metadata),
+            type="card-info",
+            tags=["attempt_id:{0}".format(attempt_id)],
+        )
+    ]
+    metadata_provider.register_metadata(run_id, step_name, task_id, entries)
diff --git a/metaflow/plugins/cards/ui/.eslintrc.cjs b/metaflow/plugins/cards/ui/.eslintrc.cjs
new file mode 100644
index 00000000000..a1c19c48e6b
--- /dev/null
+++ b/metaflow/plugins/cards/ui/.eslintrc.cjs
@@ -0,0 +1,35 @@
+// TypeScript Project
+
+module.exports = {
+  root: true,
+  extends: [
+    "eslint:recommended",
+    "plugin:@typescript-eslint/recommended",
+    "plugin:svelte/recommended",
+  ],
+  parser: "@typescript-eslint/parser",
+  plugins: ["@typescript-eslint", "prettier"],
+  parserOptions: {
+    sourceType: "module",
+    ecmaVersion: 2020,
+    extraFileExtensions: [".svelte"],
+  },
+  env: {
+    browser: true,
+    es2017: true,
+    node: true,
+  },
+  overrides: [
+    {
+      files: ["*.svelte"],
+      parser: "svelte-eslint-parser",
+      parserOptions: {
+        parser: "@typescript-eslint/parser",
+      },
+    },
+  ],
+  rules: {
+    "@typescript-eslint/no-explicit-any": "off",
+    "@typescript-eslint/no-unsafe-assignment": "off",
+  },
+};
diff --git a/metaflow/plugins/cards/ui/.eslintrc.js b/metaflow/plugins/cards/ui/.eslintrc.js
deleted file mode 100644
index ab5386457eb..00000000000
--- a/metaflow/plugins/cards/ui/.eslintrc.js
+++ /dev/null
@@ -1,36 +0,0 @@
-module.exports = {
-  parser: "@typescript-eslint/parser", // add the TypeScript parser
-  parserOptions: {
-    tsconfigRootDir: __dirname,
-    project: ["./tsconfig.json"],
-    extraFileExtensions: [".svelte"],
-  },
-  env: {
-    browser: true,
-  },
-  extends: [
-    "eslint:recommended",
-    "plugin:@typescript-eslint/recommended",
-    "plugin:@typescript-eslint/recommended-requiring-type-checking",
-  ],
-  plugins: [
-    "svelte3",
-    "@typescript-eslint", // add the TypeScript plugin
-  ],
-  ignorePatterns: ["**/*.js"],
-  overrides: [
-    {
-      files: ["*.svelte"],
-      processor: "svelte3/svelte3",
-    },
-  ],
-  rules: {
-    "@typescript-eslint/no-unsafe-member-access": 0,
-    "@typescript-eslint/no-explicit-any": 0,
-    "@typescript-eslint/no-unsafe-argument": 0,
-    "@typescript-eslint/no-unsafe-call": 0,
-  },
-  settings: {
-    "svelte3/typescript": () => require("typescript"),
-  },
-};
diff --git a/metaflow/plugins/cards/ui/.gitignore b/metaflow/plugins/cards/ui/.gitignore
new file mode 100644
index 00000000000..31d93b23fc2
--- /dev/null
+++ b/metaflow/plugins/cards/ui/.gitignore
@@ -0,0 +1,581 @@
+.yarn
+
+# If you prefer the allow list template instead of the deny list, see community template:
+# https://github.com/github/gitignore/blob/main/community/Golang/Go.AllowList.gitignore
+#
+# Binaries for programs and plugins
+*.exe
+*.exe~
+*.dll
+*.so
+*.dylib
+
+# Test binary, built with `go test -c`
+*.test
+
+# Output of the go coverage tool, specifically when used with LiteIDE
+*.out
+
+# Dependency directories (remove the comment below to include it)
+# vendor/
+
+# Go workspace file
+go.work
+## Ignore Visual Studio temporary files, build results, and
+## files generated by popular Visual Studio add-ons.
+##
+## Get latest from https://github.com/github/gitignore/blob/main/VisualStudio.gitignore
+
+# User-specific files
+*.rsuser
+*.suo
+*.user
+*.userosscache
+*.sln.docstates
+
+# User-specific files (MonoDevelop/Xamarin Studio)
+*.userprefs
+
+# Mono auto generated files
+mono_crash.*
+
+# Build results
+[Dd]ebug/
+[Dd]ebugPublic/
+[Rr]elease/
+[Rr]eleases/
+x64/
+x86/
+[Ww][Ii][Nn]32/
+[Aa][Rr][Mm]/
+[Aa][Rr][Mm]64/
+bld/
+[Bb]in/
+[Oo]bj/
+[Ll]og/
+[Ll]ogs/
+
+# Visual Studio 2015/2017 cache/options directory
+.vs/
+# Uncomment if you have tasks that create the project's static files in wwwroot
+#wwwroot/
+
+# Visual Studio 2017 auto generated files
+Generated\ Files/
+
+# MSTest test Results
+[Tt]est[Rr]esult*/
+[Bb]uild[Ll]og.*
+
+# NUnit
+*.VisualState.xml
+TestResult.xml
+nunit-*.xml
+
+# Build Results of an ATL Project
+[Dd]ebugPS/
+[Rr]eleasePS/
+dlldata.c
+
+# Benchmark Results
+BenchmarkDotNet.Artifacts/
+
+# .NET Core
+project.lock.json
+project.fragment.lock.json
+artifacts/
+
+# ASP.NET Scaffolding
+ScaffoldingReadMe.txt
+
+# StyleCop
+StyleCopReport.xml
+
+# Files built by Visual Studio
+*_i.c
+*_p.c
+*_h.h
+*.ilk
+*.meta
+*.obj
+*.iobj
+*.pch
+*.pdb
+*.ipdb
+*.pgc
+*.pgd
+*.rsp
+*.sbr
+*.tlb
+*.tli
+*.tlh
+*.tmp
+*.tmp_proj
+*_wpftmp.csproj
+*.log
+*.tlog
+*.vspscc
+*.vssscc
+.builds
+*.pidb
+*.svclog
+*.scc
+
+# Chutzpah Tes# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencit files
+_Chutzpah*
+
+# Visual C++ cache files
+ipch/
+*.aps
+*.ncb
+*.opendb
+*.opensdf
+*.sdf
+*.cachefile
+*.VC.db
+*.VC.VC.opendb
+
+# Visual Studio profiler
+*.psess
+*.vsp
+*.vspx
+*.sap
+
+# Visual Studio Trace Files
+*.e2e
+
+# TFS 2012 Local Workspace
+$tf/
+
+# Guidance Automation Toolkit
+*.gpState
+
+# ReSharper is a .NET coding add-in
+_ReSharper*/
+*.[Rr]e[Ss]harper
+*.DotSettings.user
+
+# TeamCity is a build add-in
+_TeamCity*
+
+# DotCover is a Code Coverage Tool
+*.dotCover
+
+# AxoCover is a Code Coverage Tool
+.axoCover/*
+!.axoCover/settings.json
+
+# Coverlet is a free, cross platform Code Coverage Tool
+coverage*.json
+coverage*.xml
+coverage*.info
+
+# Visual Studio code coverage results
+*.coverage
+*.coveragexml
+
+# NCrunch
+_NCrunch_*
+.*crunch*.local.xml
+nCrunchTemp_*
+
+# MightyMoose
+*.mm.*
+AutoTest.Net/
+
+# Web workbench (sass)
+.sass-cache/
+
+# Installshield output folder
+[Ee]xpress/
+
+# DocProject is a documentation generator add-in
+DocProject/buildhelp/
+DocProject/Help/*.HxT
+DocProject/Help/*.HxC
+DocProject/Help/*.hhc
+DocProject/Help/*.hhk
+DocProject/Help/*.hhp
+DocProject/Help/Html2
+DocProject/Help/html
+
+# Click-Once directory
+publish/
+
+# Publish Web Output
+*.[Pp]ublish.xml
+*.azurePubxml
+# Note: Comment the next line if you want to checkin your web deploy settings,
+# but database connection strings (with potential passwords) will be unencrypted
+*.pubxml
+*.publishproj
+
+# Microsoft Azure Web App publish settings. Comment the next line if you want to
+# checkin your Azure Web App publish settings, but sensitive information contained
+# in these scripts will be unencrypted
+PublishScripts/
+
+# NuGet Packages
+*.nupkg
+# NuGet Symbol Packages
+*.snupkg
+# The packages folder can be ignored because of Package Restore
+**/[Pp]ackages/*
+# except build/, which is used as an MSBuild target.
+!**/[Pp]ackages/build/
+# Uncomment if necessary however generally it will be regenerated when needed
+#!**/[Pp]ackages/repositories.config
+# NuGet v3's project.json files produces more ignorable files
+*.nuget.props
+*.nuget.targets
+
+# Microsoft Azure Build Output
+csx/
+*.build.csdef
+
+# Microsoft Azure Emulator
+ecf/
+rcf/
+
+# Windows Store app package directories and files
+AppPackages/
+BundleArtifacts/
+Package.StoreAssociation.xml
+_pkginfo.txt
+*.appx
+*.appxbundle
+*.appxupload
+
+# Visual Studio cache files
+# files ending in .cache can be ignored
+*.[Cc]ache
+# but keep track of directories ending in .cache
+!?*.[Cc]ache/
+
+# Others
+ClientBin/
+~$*
+*~
+*.dbmdl
+*.dbproj.schemaview
+*.jfm
+*.pfx
+*.publishsettings
+orleans.codegen.cs
+
+# Including strong name files can present a security risk
+# (https://github.com/github/gitignore/pull/2483#issue-259490424)
+#*.snk
+
+# Since there are multiple workflows, uncomment next line to ignore bower_components
+# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
+#bower_components/
+
+# RIA/Silverlight projects
+Generated_Code/
+
+# Backup & report files from converting an old project file
+# to a newer Visual Studio version. Backup files are not needed,
+# because we have git ;-)
+_UpgradeReport_Files/
+Backup*/
+UpgradeLog*.XML
+UpgradeLog*.htm
+ServiceFabricBackup/
+*.rptproj.bak
+
+# SQL Server files
+*.mdf
+*.ldf
+*.ndf
+
+# Business Intelligence projects
+*.rdl.data
+*.bim.layout
+*.bim_*.settings
+*.rptproj.rsuser
+*- [Bb]ackup.rdl
+*- [Bb]ackup ([0-9]).rdl
+*- [Bb]ackup ([0-9][0-9]).rdl
+
+# Microsoft Fakes
+FakesAssemblies/
+
+# GhostDoc plugin setting file
+*.GhostDoc.xml
+
+# Node.js Tools for Visual Studio
+.ntvs_analysis.dat
+node_modules/
+
+# Visual Studio 6 build log
+*.plg
+
+# Visual Studio 6 workspace options file
+*.opt
+
+# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
+*.vbw
+
+# Visual Studio 6 auto-generated project file (contains which files were open etc.)
+*.vbp
+
+# Visual Studio 6 workspace and project file (working project files containing files to include in project)
+*.dsw
+*.dsp
+
+# Visual Studio 6 technical files
+*.ncb
+*.aps
+
+# Visual Studio LightSwitch build output
+**/*.HTMLClient/GeneratedArtifacts
+**/*.DesktopClient/GeneratedArtifacts
+**/*.DesktopClient/ModelManifest.xml
+**/*.Server/GeneratedArtifacts
+**/*.Server/ModelManifest.xml
+_Pvt_Extensions
+
+# Paket dependency manager
+.paket/paket.exe
+paket-files/
+
+# FAKE - F# Make
+.fake/
+
+# CodeRush personal settings
+.cr/personal
+
+# Python Tools for Visual Studio (PTVS)
+__pycache__/
+*.pyc
+
+# Cake - Uncomment if you are using it
+# tools/**
+# !tools/packages.config
+
+# Tabs Studio
+*.tss
+
+# Telerik's JustMock configuration file
+*.jmconfig
+
+# BizTalk build output
+*.btp.cs
+*.btm.cs
+*.odx.cs
+*.xsd.cs
+
+# OpenCover UI analysis results
+OpenCover/
+
+# Azure Stream Analytics local run output
+ASALocalRun/
+
+# MSBuild Binary and Structured Log
+*.binlog
+
+# NVidia Nsight GPU debugger configuration file
+*.nvuser
+
+# MFractors (Xamarin productivity tool) working folder
+.mfractor/
+
+# Local History for Visual Studio
+.localhistory/
+
+# Visual Studio History (VSHistory) files
+.vshistory/
+
+# BeatPulse healthcheck temp database
+healthchecksdb
+
+# Backup folder for Package Reference Convert tool in Visual Studio 2017
+MigrationBackup/
+
+# Ionide (cross platform F# VS Code tools) working folder
+.ionide/
+
+# Fody - auto-generated XML schema
+FodyWeavers.xsd
+
+# VS Code files for those working on multiple tools
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+*.code-workspace
+
+# Local History for Visual Studio Code
+.history/
+
+# Windows Installer files from build outputs
+*.cab
+*.msi
+*.msix
+*.msm
+*.msp
+
+# JetBrains Rider
+*.sln.iml
+es or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
diff --git a/metaflow/plugins/cards/ui/public/card-example.json b/metaflow/plugins/cards/ui/demo/card-example.json
similarity index 95%
rename from metaflow/plugins/cards/ui/public/card-example.json
rename to metaflow/plugins/cards/ui/demo/card-example.json
index 91c7bdc609a..52c2d2b51ff 100644
--- a/metaflow/plugins/cards/ui/public/card-example.json
+++ b/metaflow/plugins/cards/ui/demo/card-example.json
@@ -19,7 +19,21 @@
       "contents": [
         {
           "type": "section",
-          "title": "Vertical Table",
+          "title": "Progress Bar",
+          "contents": [
+            {
+              "type": "progressBar",
+              "id": "progress1",
+              "max": 100,
+              "value": 55,
+              "label": "Epochs",
+              "details": "elapsed 00:35 left: 01:05, 1.00 iters/sec"
+            }
+          ]
+        },
+        {
+          "type": "section",
+          "title": "Table with Progress Bar",
           "contents": [
             {
               "type": "table",
@@ -36,7 +50,29 @@
                 [
                   2,
                   "start",
-                  "completed",
+                  {
+                    "type": "progressBar",
+                    "id": "progress1",
+                    "max": 100,
+                    "value": 55,
+                    "label": "Epochs",
+                    "details": "elapsed 00:35 left: 01:05, 1.00 iters/sec"
+                  },
+                  "10-20-2021 05:18:34",
+                  "10-20-2021 05:18:34",
+                  "0.5s"
+                ],
+                [
+                  3,
+                  "middle",
+                  {
+                    "type": "progressBar",
+                    "id": "progress1",
+                    "max": 100,
+                    "value": 35,
+                    "label": "Epochs",
+                    "details": "elapsed 00:35 left: 01:05, 1.00 iters/sec"
+                  },
                   "10-20-2021 05:18:34",
                   "10-20-2021 05:18:34",
                   "0.5s"
@@ -52,120 +88,120 @@
           "contents": [
             {
               "type": "artifacts",
-              
+
               "data": [
                 {
-                    "name":null,
-                    "type":"tuple",
-                    "data":"(1,2,3)"
+                  "name": null,
+                  "type": "tuple",
+                  "data": "(1,2,3)"
                 },
                 {
-                  "name":"file_param",
+                  "name": "file_param",
                   "type": "NoneType",
                   "data": "None"
                 },
                 {
-                  "name":"py_set",
+                  "name": "py_set",
                   "type": "set",
                   "data": "{1, 2, 3}"
                 },
                 {
-                  "name":"img_jpg",
+                  "name": "img_jpg",
                   "type": "bytes",
                   "data": "b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x01\\x02\\x01\\x...\\x80\\x80\\x80\\x80\\x80\\x80\\x80\\x80\\x80\\x83\\xff\\xd9'"
                 },
                 {
-                  "name":"py_frozenset",
+                  "name": "py_frozenset",
                   "type": "frozenset",
                   "data": "frozenset({4, 5, 6})"
                 },
                 {
-                  "name":"py_bytearray",
+                  "name": "py_bytearray",
                   "type": "bytearray",
                   "data": "bytearray(b'\\xf0\\xf1\\xf2')"
                 },
                 {
-                  "name":"custom_class",
+                  "name": "custom_class",
                   "type": "__main__.CustomClass",
                   "data": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
                 },
                 {
-                  "name":"py_dict",
+                  "name": "py_dict",
                   "type": "dict",
                   "data": "{'a': 1, 'null': None, True: False}"
                 },
                 {
-                  "name":"py_float",
+                  "name": "py_float",
                   "type": "float",
                   "data": "3.141592653589793"
                 },
                 {
-                  "name":"large_dict_large_val",
+                  "name": "large_dict_large_val",
                   "type": "dict",
                   "data": "{'constitution': 'Provided by USConstitution.net\\n---------------...ion of Representatives shall\\nhave intervened.\\n'}"
                 },
                 {
-                  "name":"name",
+                  "name": "name",
                   "type": "str",
                   "data": "'DefaultCardFlow'"
                 },
                 {
-                  "name":"large_dict",
+                  "name": "large_dict",
                   "type": "dict",
                   "data": "{'clubs': ['ace', 2, 3, 4, 5, 6, 7, 8, 9, 'jack', 'queen', 'king'], 'diamonds': ['ace', 2, 3, 4, 5, 6, 7, 8, 9, 'jack', 'queen', 'king'], 'hearts': ['ace', 2, 3, 4, 5, 6, 7, 8, 9, 'jack', 'queen', 'king'], 'spades': ['ace', 2, 3, 4, 5, 6, 7, 8, 9, 'jack', 'queen', 'king']}"
                 },
                 {
-                  "name":"np_array",
+                  "name": "np_array",
                   "type": "numpy.ndarray",
                   "data": "array([      0,       1,       2, ..., 9999997, 9999998, 9999999],\n      dtype=uint64)"
                 },
                 {
-                  "name":"large_dict_many_keys",
+                  "name": "large_dict_many_keys",
                   "type": "dict",
                   "data": "{'00001cdb-f3cf-4a80-9d50-a5685697a9c3': 1636352431.135456, '00007105-19d0-4c25-bd18-c4b9f0f72326': 1636352431.09861, '00007fe7-87f5-499a-84a0-95bc7829350f': 1636352430.95102, '00009603-ec57-42ac-8ae1-d190d75ec8fd': 1636352431.879671, ...}"
                 },
                 {
-                  "name":"py_str",
+                  "name": "py_str",
                   "type": "str",
                   "data": "'εˆΊθΊ«γ―ηΎŽε‘³γ—γ„'"
                 },
                 {
-                  "name":"float_param",
+                  "name": "float_param",
                   "type": "float",
                   "data": "3.141592653589793"
                 },
                 {
-                  "name":"py_complex",
+                  "name": "py_complex",
                   "type": "complex",
                   "data": "(1+2j)"
                 },
                 {
-                  "name":"str_param",
+                  "name": "str_param",
                   "type": "str",
                   "data": "'εˆΊθΊ«γ―ηΎŽε‘³γ—γ„'"
                 },
                 {
-                  "name":"json_param",
+                  "name": "json_param",
                   "type": "str",
                   "data": "'{\"states\": {[{\"CA\", 0}, {\"NY\", 1}]}'"
                 },
                 {
-                  "name":"large_int",
+                  "name": "large_int",
                   "type": "int",
                   "data": "36893488147419103232"
                 },
                 {
-                  "name":"large_str",
+                  "name": "large_str",
                   "type": "str",
                   "data": "'Provided by USConstitution.net\\n---------------...ion of Representatives shall\\nhave intervened.\\n'"
                 },
                 {
-                  "name":"exception",
+                  "name": "exception",
                   "type": "Exception",
                   "data": "Exception('This is an exception!')"
                 },
                 {
-                  "name":"py_list",
+                  "name": "py_list",
                   "type": "list",
                   "data": "[1, 2, 3]"
                 }
@@ -1051,7 +1087,7 @@
           "contents": [
             {
               "type": "log",
-              "data": "Card of type default is unable to be rendered with arguements {'only_repr': True}.\nStack trace :  Traceback (most recent call last):\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_cli.py\", line 407, in create\n    rendered_info = render_card(mf_card, task, timeout_value=timeout)\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_cli.py\", line 283, in render_card\n    rendered_info = mf_card.render(task)\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_modules/basic.py\", line 461, in render\n    raise Exception(\"Hellow There\")\nException: Hellow There\n"
+              "data": "Card of type default is unable to be rendered with arguments {'only_repr': True}.\nStack trace :  Traceback (most recent call last):\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_cli.py\", line 407, in create\n    rendered_info = render_card(mf_card, task, timeout_value=timeout)\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_cli.py\", line 283, in render_card\n    rendered_info = mf_card.render(task)\n  File \"/Users/valay/Documents/Outerbounds-Code-Workspace/metaflow/metaflow/plugins/cards/card_modules/basic.py\", line 461, in render\n    raise Exception(\"Hellow There\")\nException: Hellow There\n"
             }
           ]
         },
diff --git a/metaflow/plugins/cards/ui/demo/index.html b/metaflow/plugins/cards/ui/demo/index.html
new file mode 100644
index 00000000000..3d651629232
--- /dev/null
+++ b/metaflow/plugins/cards/ui/demo/index.html
@@ -0,0 +1,38 @@
+
+
+  
+    
+    
+
+    Metaflow Card Example
+
+    
+    
+  
+
+  
+    
    
+
+    
+  
+
diff --git a/metaflow/plugins/cards/ui/package-lock.json b/metaflow/plugins/cards/ui/package-lock.json
new file mode 100644
index 00000000000..f376b99ef55
--- /dev/null
+++ b/metaflow/plugins/cards/ui/package-lock.json
@@ -0,0 +1,6070 @@
+{
+  "name": "svelte-app",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "svelte-app",
+      "version": "1.0.0",
+      "license": "UNLICENSED",
+      "dependencies": {
+        "@iconify/svelte": "^3.1.4",
+        "svelte-markdown": "^0.4.0",
+        "svelte-vega": "^2.1.0",
+        "vega": "^5.26.1",
+        "vega-lite": "^5.16.3"
+      },
+      "devDependencies": {
+        "@sveltejs/vite-plugin-svelte": "^3.0.1",
+        "@tsconfig/svelte": "^5.0.2",
+        "@types/node": "^20.10.4",
+        "@typescript-eslint/eslint-plugin": "^6.14.0",
+        "@typescript-eslint/parser": "^6.14.0",
+        "cypress": "^13.6.1",
+        "cypress-svelte-unit-test": "^3.3.4",
+        "eslint": "^8.55.0",
+        "eslint-plugin-prettier": "^5.0.1",
+        "eslint-plugin-svelte": "^2.35.1",
+        "postcss": "^8.4.32",
+        "prettier": "^3.1.1",
+        "svelte": "^4.2.19",
+        "svelte-check": "^3.6.2",
+        "svelte-preprocess": "^5.1.2",
+        "tslib": "^2.6.2",
+        "typescript": "^5.3.3",
+        "vite": "^5.4.19"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@bahmutov/cy-rollup": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/@bahmutov/cy-rollup/-/cy-rollup-2.0.0.tgz",
+      "integrity": "sha512-KJlvqB3U1nvKSq7djkXcvM4WpBLP6HEWKKzChI8s/aw0pYm0gVc+sphpyz5CmGpsNE9+/1QB6yoDfTe9Q97SJw==",
+      "dev": true,
+      "dependencies": {
+        "debug": "4.1.1"
+      },
+      "peerDependencies": {
+        "rollup": "2"
+      }
+    },
+    "node_modules/@bahmutov/cy-rollup/node_modules/debug": {
+      "version": "4.1.1",
+      "resolved": "https://registry.npmjs.org/debug/-/debug-4.1.1.tgz",
+      "integrity": "sha512-pYAIzeRo8J6KPEaJ0VWOh5Pzkbw/RetuzehGM7QRRX5he4fPHx2rdKMB256ehJCkX+XRQm16eZLqLNS8RSZXZw==",
+      "deprecated": "Debug versions >=3.2.0 <3.2.7 || >=4 <4.3.1 have a low-severity ReDos regression when used in a Node.js environment. It is recommended you upgrade to 3.2.7 or 4.3.1. (https://github.com/visionmedia/debug/issues/797)",
+      "dev": true,
+      "dependencies": {
+        "ms": "^2.1.1"
+      }
+    },
+    "node_modules/@colors/colors": {
+      "version": "1.5.0",
+      "resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.5.0.tgz",
+      "integrity": "sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==",
+      "dev": true,
+      "optional": true,
+      "engines": {
+        "node": ">=0.1.90"
+      }
+    },
+    "node_modules/@cypress/request": {
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@cypress/request/-/request-3.0.8.tgz",
+      "integrity": "sha512-h0NFgh1mJmm1nr4jCwkGHwKneVYKghUyWe6TMNrk0B9zsjAJxpg8C4/+BAcmLgCPa1vj1V8rNUaILl+zYRUWBQ==",
+      "dev": true,
+      "dependencies": {
+        "aws-sign2": "~0.7.0",
+        "aws4": "^1.8.0",
+        "caseless": "~0.12.0",
+        "combined-stream": "~1.0.6",
+        "extend": "~3.0.2",
+        "forever-agent": "~0.6.1",
+        "form-data": "~4.0.0",
+        "http-signature": "~1.4.0",
+        "is-typedarray": "~1.0.0",
+        "isstream": "~0.1.2",
+        "json-stringify-safe": "~5.0.1",
+        "mime-types": "~2.1.19",
+        "performance-now": "^2.1.0",
+        "qs": "6.14.0",
+        "safe-buffer": "^5.1.2",
+        "tough-cookie": "^5.0.0",
+        "tunnel-agent": "^0.6.0",
+        "uuid": "^8.3.2"
+      },
+      "engines": {
+        "node": ">= 6"
+      }
+    },
+    "node_modules/@cypress/xvfb": {
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/@cypress/xvfb/-/xvfb-1.2.4.tgz",
+      "integrity": "sha512-skbBzPggOVYCbnGgV+0dmBdW/s77ZkAOXIC1knS8NagwDjBrNC1LuXtQJeiN6l+m7lzmHtaoUw/ctJKdqkG57Q==",
+      "dev": true,
+      "dependencies": {
+        "debug": "^3.1.0",
+        "lodash.once": "^4.1.1"
+      }
+    },
+    "node_modules/@cypress/xvfb/node_modules/debug": {
+      "version": "3.2.7",
+      "resolved": "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz",
+      "integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==",
+      "dev": true,
+      "dependencies": {
+        "ms": "^2.1.1"
+      }
+    },
+    "node_modules/@esbuild/aix-ppc64": {
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz",
+      "integrity": "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ==",
+      "cpu": [
+        "ppc64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "aix"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/android-arm": {
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.21.5.tgz",
+      "integrity": "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg==",
+      "cpu": [
+        "arm"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/android-arm64": {
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+        "@rollup/rollup-linux-arm-gnueabihf": "4.34.9",
+        "@rollup/rollup-linux-arm-musleabihf": "4.34.9",
+        "@rollup/rollup-linux-arm64-gnu": "4.34.9",
+        "@rollup/rollup-linux-arm64-musl": "4.34.9",
+        "@rollup/rollup-linux-loongarch64-gnu": "4.34.9",
+        "@rollup/rollup-linux-powerpc64le-gnu": "4.34.9",
+        "@rollup/rollup-linux-riscv64-gnu": "4.34.9",
+        "@rollup/rollup-linux-s390x-gnu": "4.34.9",
+        "@rollup/rollup-linux-x64-gnu": "4.34.9",
+        "@rollup/rollup-linux-x64-musl": "4.34.9",
+        "@rollup/rollup-win32-arm64-msvc": "4.34.9",
+        "@rollup/rollup-win32-ia32-msvc": "4.34.9",
+        "@rollup/rollup-win32-x64-msvc": "4.34.9",
+        "fsevents": "~2.3.2"
+      }
+    },
+    "node_modules/vitefu": {
+      "version": "0.2.5",
+      "resolved": "https://registry.npmjs.org/vitefu/-/vitefu-0.2.5.tgz",
+      "integrity": "sha512-SgHtMLoqaeeGnd2evZ849ZbACbnwQCIwRH57t18FxcXoZop0uQu0uzlIhJBlF/eWVzuce0sHeqPcDo+evVcg8Q==",
+      "dev": true,
+      "peerDependencies": {
+        "vite": "^3.0.0 || ^4.0.0 || ^5.0.0"
+      },
+      "peerDependenciesMeta": {
+        "vite": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/webidl-conversions": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
+      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
+    },
+    "node_modules/whatwg-url": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
+      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
+      "dependencies": {
+        "tr46": "~0.0.3",
+        "webidl-conversions": "^3.0.0"
+      }
+    },
+    "node_modules/which": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+      "dev": true,
+      "dependencies": {
+        "isexe": "^2.0.0"
+      },
+      "bin": {
+        "node-which": "bin/node-which"
+      },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/word-wrap": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/wrap-ansi": {
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+      "dependencies": {
+        "ansi-styles": "^4.0.0",
+        "string-width": "^4.1.0",
+        "strip-ansi": "^6.0.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
+    "node_modules/wrappy": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "dev": true
+    },
+    "node_modules/y18n": {
+      "version": "5.0.8",
+      "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
+      "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/yaml": {
+      "version": "1.10.2",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
+      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "dev": true,
+      "engines": {
+        "node": ">= 6"
+      }
+    },
+    "node_modules/yargs": {
+      "version": "17.7.2",
+      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+      "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
+      "dependencies": {
+        "cliui": "^8.0.1",
+        "escalade": "^3.1.1",
+        "get-caller-file": "^2.0.5",
+        "require-directory": "^2.1.1",
+        "string-width": "^4.2.3",
+        "y18n": "^5.0.5",
+        "yargs-parser": "^21.1.1"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/yargs-parser": {
+      "version": "21.1.1",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+      "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/yauzl": {
+      "version": "2.10.0",
+      "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz",
+      "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==",
+      "dev": true,
+      "dependencies": {
+        "buffer-crc32": "~0.2.3",
+        "fd-slicer": "~1.1.0"
+      }
+    },
+    "node_modules/yauzl/node_modules/buffer-crc32": {
+      "version": "0.2.13",
+      "resolved": "https://registry.npmjs.org/buffer-crc32/-/buffer-crc32-0.2.13.tgz",
+      "integrity": "sha512-VO9Ht/+p3SN7SKWqcrgEzjGbRSJYTx+Q1pTQC0wrWqHx0vpJraQ6GtHx8tvcg1rlK1byhU5gccxgOgj7B0TDkQ==",
+      "dev": true,
+      "engines": {
+        "node": "*"
+      }
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    }
+  }
+}
diff --git a/metaflow/plugins/cards/ui/package.json b/metaflow/plugins/cards/ui/package.json
index e251a2974a1..c80a9518692 100644
--- a/metaflow/plugins/cards/ui/package.json
+++ b/metaflow/plugins/cards/ui/package.json
@@ -2,51 +2,45 @@
   "name": "svelte-app",
   "version": "1.0.0",
   "private": true,
+  "type": "module",
   "scripts": {
-    "build": "cross-env OUTPUT_DIR=../card_modules rollup -c",
-    "dev": "rollup -c -w",
-    "start": "sirv public --no-clear",
-    "check": "svelte-check --workspace src",
-    "lint": "eslint src --ext .ts,.svelte",
-    "lint:fix": "yarn run lint --fix",
-    "prebuild": "yarn run check && yarn run lint",
+    "dev": "vite build --watch",
+    "build": "vite build",
+    "preview": "vite preview",
+    "check": "svelte-check --tsconfig ./tsconfig.node.json",
+    "lint": "eslint src --ext .ts,.svelte --fix",
+    "prebuild": "npm run check && npm run lint",
     "cypress:open": "wait-on http://localhost:8080 && cypress open",
-    "cypress:open-dev": "yarn dev & yarn run cypress:open",
+    "cypress:open-dev": "npm run dev & npm run cypress:open",
     "cypress:run": "wait-on http://localhost:8080 && cypress run",
-    "cypress:run-dev": "yarn dev & yarn run cypress:run"
+    "cypress:run-dev": "npm run dev & npm run cypress:run"
   },
   "devDependencies": {
-    "@rollup/plugin-commonjs": "^21.0.1",
-    "@rollup/plugin-node-resolve": "^13.1.3",
-    "@rollup/plugin-typescript": "^8.3.0",
-    "@tsconfig/svelte": "^3.0.0",
-    "@types/node": "^17.0.8",
-    "@typescript-eslint/eslint-plugin": "^5.9.1",
-    "@typescript-eslint/parser": "^5.9.1",
-    "cross-env": "^7.0.3",
-    "cypress": "9.2.1",
+    "@sveltejs/vite-plugin-svelte": "^3.0.1",
+    "@tsconfig/svelte": "^5.0.2",
+    "@types/node": "^20.10.4",
+    "@typescript-eslint/eslint-plugin": "^6.14.0",
+    "@typescript-eslint/parser": "^6.14.0",
+    "cypress": "^13.6.1",
     "cypress-svelte-unit-test": "^3.3.4",
-    "eslint": "^8.6.0",
-    "eslint-plugin-svelte3": "^3.4.0",
-    "postcss": "^8.4.5",
-    "rollup": "^2.63.0",
-    "rollup-plugin-css-only": "^3.1.0",
-    "rollup-plugin-livereload": "^2.0.5",
-    "rollup-plugin-postcss": "^4.0.2",
-    "rollup-plugin-svelte": "^7.1.0",
-    "rollup-plugin-terser": "^7.0.2",
-    "sirv-cli": "^2.0.1",
-    "svelte": "^3.49.0",
-    "svelte-check": "^2.3.0",
-    "svelte-preprocess": "^4.10.1",
-    "tslib": "^2.3.1",
-    "typescript": "^4.5.4",
-    "wait-on": "^6.0.0"
+    "eslint": "^8.55.0",
+    "eslint-plugin-prettier": "^5.0.1",
+    "eslint-plugin-svelte": "^2.35.1",
+    "postcss": "^8.4.32",
+    "prettier": "^3.1.1",
+    "svelte": "^4.2.19",
+    "svelte-check": "^3.6.2",
+    "svelte-preprocess": "^5.1.2",
+    "tslib": "^2.6.2",
+    "typescript": "^5.3.3",
+    "vite": "^5.4.19"
   },
   "license": "UNLICENSED",
   "dependencies": {
-    "@iconify/svelte": "^2.1.1",
-    "chart.js": "^3.7.0",
-    "svelte-markdown": "^0.2.1"
+    "@iconify/svelte": "^3.1.4",
+    "svelte-markdown": "^0.4.0",
+    "svelte-vega": "^2.1.0",
+    "vega": "^5.26.1",
+    "vega-lite": "^5.16.3"
   }
 }
diff --git a/metaflow/plugins/cards/ui/src/prism.css b/metaflow/plugins/cards/ui/prism.css
similarity index 100%
rename from metaflow/plugins/cards/ui/src/prism.css
rename to metaflow/plugins/cards/ui/prism.css
diff --git a/metaflow/plugins/cards/ui/src/prism.js b/metaflow/plugins/cards/ui/prism.js
similarity index 100%
rename from metaflow/plugins/cards/ui/src/prism.js
rename to metaflow/plugins/cards/ui/prism.js
diff --git a/metaflow/plugins/cards/ui/public/index.html b/metaflow/plugins/cards/ui/public/index.html
deleted file mode 100644
index 9b18320f76f..00000000000
--- a/metaflow/plugins/cards/ui/public/index.html
+++ /dev/null
@@ -1,16 +0,0 @@
-
-
-  
-    
-    
-
-    Metaflow Card Example
-
-    
-    
-  
-
-  
-    
    
-  
-
diff --git a/metaflow/plugins/cards/ui/rollup.config.js b/metaflow/plugins/cards/ui/rollup.config.jsBACKUP
similarity index 96%
rename from metaflow/plugins/cards/ui/rollup.config.js
rename to metaflow/plugins/cards/ui/rollup.config.jsBACKUP
index 5d4b7502aef..aea515ce6a3 100644
--- a/metaflow/plugins/cards/ui/rollup.config.js
+++ b/metaflow/plugins/cards/ui/rollup.config.jsBACKUP
@@ -5,6 +5,7 @@ import livereload from "rollup-plugin-livereload";
 import { terser } from "rollup-plugin-terser";
 import sveltePreprocess from "svelte-preprocess";
 import typescript from "@rollup/plugin-typescript";
+import json from "@rollup/plugin-json"
 /**
  * @NOTE: we are currently commenting out postcss,
  * it will be added back in a separate PR
@@ -43,7 +44,7 @@ export default {
   input: "src/main.ts",
   output: {
     dir: process.env.OUTPUT_DIR ?? "public/build",
-    sourcemap: true,
+    sourcemap: !production,
     format: "iife",
     name: "app",
   },
@@ -77,7 +78,7 @@ export default {
       sourceMap: !production,
       inlineSources: !production,
     }),
-
+    json(),
     // In dev mode, call `npm run start` once
     // the bundle has been generated
     !production && serve(),
diff --git a/metaflow/plugins/cards/ui/src/App.svelte b/metaflow/plugins/cards/ui/src/App.svelte
index bbb390ebbca..d8a980650c4 100644
--- a/metaflow/plugins/cards/ui/src/App.svelte
+++ b/metaflow/plugins/cards/ui/src/App.svelte
@@ -1,9 +1,9 @@
 
 
 
    
diff --git a/metaflow/plugins/cards/ui/src/components/artifacts.svelte b/metaflow/plugins/cards/ui/src/components/artifacts.svelte
index 72309d41225..3e4de16f06c 100644
--- a/metaflow/plugins/cards/ui/src/components/artifacts.svelte
+++ b/metaflow/plugins/cards/ui/src/components/artifacts.svelte
@@ -4,10 +4,9 @@
   import ArtifactRow from "./artifact-row.svelte";
 
   export let componentData: types.ArtifactsComponent;
-  const { data } = componentData;
 
   // we can't guarantee the data is sorted from the source, so we sort before render
-  const sortedData = data.sort((a, b) => {
+  const sortedData = componentData?.data.sort((a, b) => {
     // nulls first
     if (a.name && b.name) {
       if (a.name > b.name) {
@@ -24,7 +23,7 @@
   
   
     {#each sortedData as artifact}
-      
+      
     {/each}
   
    
 
    
diff --git a/metaflow/plugins/cards/ui/src/components/bar-chart.svelte b/metaflow/plugins/cards/ui/src/components/bar-chart.svelte
deleted file mode 100644
index 7db0febe9a7..00000000000
--- a/metaflow/plugins/cards/ui/src/components/bar-chart.svelte
+++ /dev/null
@@ -1,56 +0,0 @@
-
-
-
-
    
-  
-
    
-
-
diff --git a/metaflow/plugins/cards/ui/src/components/card-component-renderer.svelte b/metaflow/plugins/cards/ui/src/components/card-component-renderer.svelte
index 6d9e05f9a14..dbeb3026f83 100644
--- a/metaflow/plugins/cards/ui/src/components/card-component-renderer.svelte
+++ b/metaflow/plugins/cards/ui/src/components/card-component-renderer.svelte
@@ -1,46 +1,48 @@
 
+
 {#if component}
   {#if (componentData.type === "page" || componentData.type === "section") && componentData?.contents}
     
diff --git a/metaflow/plugins/cards/ui/src/components/dag/connector.svelte b/metaflow/plugins/cards/ui/src/components/dag/connector.svelte
index be41248568a..77def1f790b 100644
--- a/metaflow/plugins/cards/ui/src/components/dag/connector.svelte
+++ b/metaflow/plugins/cards/ui/src/components/dag/connector.svelte
@@ -1,5 +1,5 @@
 
-
 
 
    
diff --git a/metaflow/plugins/cards/ui/src/components/image.svelte b/metaflow/plugins/cards/ui/src/components/image.svelte
index 3a247455907..d4a81e393cb 100644
--- a/metaflow/plugins/cards/ui/src/components/image.svelte
+++ b/metaflow/plugins/cards/ui/src/components/image.svelte
@@ -4,9 +4,10 @@
   import { modal } from "../store";
 
   export let componentData: types.ImageComponent;
-  const { src, label, description } = componentData;
+  $: ({ src, label, description } = componentData);
 
 
+
 
     modal.set(componentData)} data-component="image">
   
    
     {label
diff --git a/metaflow/plugins/cards/ui/src/components/line-chart.svelte b/metaflow/plugins/cards/ui/src/components/line-chart.svelte
deleted file mode 100644
index 1defb02e457..00000000000
--- a/metaflow/plugins/cards/ui/src/components/line-chart.svelte
+++ /dev/null
@@ -1,56 +0,0 @@
-
-
-
-
    
-  
-
    
-
-
diff --git a/metaflow/plugins/cards/ui/src/components/main.svelte b/metaflow/plugins/cards/ui/src/components/main.svelte
index 08e50f08e64..4f38cb14d2d 100644
--- a/metaflow/plugins/cards/ui/src/components/main.svelte
+++ b/metaflow/plugins/cards/ui/src/components/main.svelte
@@ -25,5 +25,6 @@
   /* if the embed class is present, we hide the aside, and we should center the main */
   :global(.embed main) {
     margin: 0 auto;
+    min-width: 80%
   }
 
diff --git a/metaflow/plugins/cards/ui/src/components/modal.svelte b/metaflow/plugins/cards/ui/src/components/modal.svelte
index 3dff91f914d..e475bb71187 100644
--- a/metaflow/plugins/cards/ui/src/components/modal.svelte
+++ b/metaflow/plugins/cards/ui/src/components/modal.svelte
@@ -20,6 +20,7 @@
 
 
 {#if componentData && $modal}
+  
   
    
     
       
diff --git a/metaflow/plugins/cards/ui/src/components/page.svelte b/metaflow/plugins/cards/ui/src/components/page.svelte
index 8f2736c9a39..0eb96f25ae8 100644
--- a/metaflow/plugins/cards/ui/src/components/page.svelte
+++ b/metaflow/plugins/cards/ui/src/components/page.svelte
@@ -2,10 +2,13 @@
 
 
-
    
+
    
   
 
    
 
diff --git a/metaflow/plugins/cards/ui/src/components/progress-bar.svelte b/metaflow/plugins/cards/ui/src/components/progress-bar.svelte
new file mode 100644
index 00000000000..e77499dd48d
--- /dev/null
+++ b/metaflow/plugins/cards/ui/src/components/progress-bar.svelte
@@ -0,0 +1,120 @@
+
+
+
+
+
    
+  
    
+    {#if label || details}
+      
    
+        {#if label}
+          
+        {/if}
+        {#if details}
+          {details}
+        {/if}
+      
    
+    {/if}
+    {value}{unit || ""}
+  
    
+
    
+
+
diff --git a/metaflow/plugins/cards/ui/src/components/python-code.svelte b/metaflow/plugins/cards/ui/src/components/python-code.svelte
new file mode 100644
index 00000000000..ec3f5265c63
--- /dev/null
+++ b/metaflow/plugins/cards/ui/src/components/python-code.svelte
@@ -0,0 +1,19 @@
+
+
+
+
+
+
+
    {componentData.data}
+  
+
    
diff --git a/metaflow/plugins/cards/ui/src/components/section.svelte b/metaflow/plugins/cards/ui/src/components/section.svelte
index e43a6f34d3f..8377e19cdab 100644
--- a/metaflow/plugins/cards/ui/src/components/section.svelte
+++ b/metaflow/plugins/cards/ui/src/components/section.svelte
@@ -2,7 +2,7 @@
 
 
-
    {componentData.text}
    
+
    {componentData?.text || ""}