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chore: Generate build artifacts for 2.4.0 release
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‎build_artifacts/v2/v2.4/v2.4.0/Dockerfile

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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
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FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
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ARG CUDA_MAJOR_MINOR_VERSION=''
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ARG ENV_IN_FILENAME
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ARG ARG_BASED_ENV_IN_FILENAME
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ARG IMAGE_VERSION
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LABEL "org.amazon.sagemaker-distribution.image.version"=$IMAGE_VERSION
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ARG AMZN_BASE="/opt/amazon/sagemaker"
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ARG DB_ROOT_DIR="/opt/db"
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ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging"
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ARG NB_USER="sagemaker-user"
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ARG NB_UID=1000
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ARG NB_GID=100
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# https://www.openssl.org/source/
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ARG FIPS_VALIDATED_SSL=3.0.8
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ARG MIN_REQUIRED_MICROMAMBA_VERSION=1.5.11
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ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/"
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ENV STUDIO_LOGGING_DIR="/var/log/studio/"
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ENV EDITOR="nano"
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ENV IMAGE_VERSION=$IMAGE_VERSION
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ENV PINNED_MICROMAMBA_MINOR_VERSION="1.5.*"
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ENV SAGEMAKER_RECOVERY_MODE_HOME=/tmp/sagemaker-recovery-mode-home
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USER root
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# Upgrade micromamba to the latest patch version in the pinned minor version range, if applicable
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RUN CURRENT_MICROMAMBA_VERSION=$(micromamba --version) && \
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echo "Current micromamba version: $CURRENT_MICROMAMBA_VERSION" && \
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if [[ "$CURRENT_MICROMAMBA_VERSION" == $PINNED_MICROMAMBA_MINOR_VERSION ]]; then \
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echo "Upgrading micromamba to the latest $PINNED_MICROMAMBA_MINOR_VERSION version..." && \
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micromamba self-update -c conda-forge --version "$MIN_REQUIRED_MICROMAMBA_VERSION" && \
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micromamba clean --all --yes --force-pkgs-dirs; \
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else \
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echo "Micromamba is already at version $CURRENT_MICROMAMBA_VERSION (outside $PINNED_MICROMAMBA_MINOR_VERSION). No upgrade performed."; \
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fi
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RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \
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groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \
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# Update the expected value of MAMBA_USER for the
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# _entrypoint.sh consistency check.
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echo "${NB_USER}" > "/etc/arg_mamba_user" && \
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:
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ENV MAMBA_USER=$NB_USER
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ENV USER=$NB_USER
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RUN apt-get update && apt-get upgrade -y && \
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apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client nano cron less mandoc && \
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# We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly.
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DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \
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chmod g+w /etc/passwd && \
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echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \
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touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \
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# Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will
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# not be able to run any `apt-get install` commands and that would hamper customizability of the images.
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curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" && \
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unzip awscliv2.zip && \
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sudo ./aws/install && \
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rm -rf aws awscliv2.zip && \
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: && \
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echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile && \
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# CodeEditor - create server, user data dirs
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mkdir -p /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data \
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&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data && \
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# create dir to store user data files
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mkdir -p /opt/amazon/sagemaker/user-data \
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&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/user-data && \
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# Merge in OS directory tree contents.
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mkdir -p ${DIRECTORY_TREE_STAGE_DIR}
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COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/
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RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \
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rm -rf ${DIRECTORY_TREE_STAGE_DIR} && \
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# CodeEditor - download the extensions
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mkdir -p /etc/code-editor/extensions && \
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while IFS= read -r url || [ -n "$url" ]; do \
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echo "Downloading extension from ${url}..." && \
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wget --no-check-certificate -P /etc/code-editor/extensions "${url}"; \
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done < /etc/code-editor/extensions.txt
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USER $MAMBA_USER
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COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/
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ARG MAMBA_DOCKERFILE_ACTIVATE=1
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION
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# Make sure that $ENV_IN_FILENAME has a newline at the end before the `tee` command runs. Otherwise, nasty things
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# will happen.
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RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \
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then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \
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else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \
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fi && \
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# Enforce dependencies are all installed from conda-forge
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micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME && \
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mkdir -p $SAGEMAKER_RECOVERY_MODE_HOME && \
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chown $MAMBA_USER:$MAMBA_USER $SAGEMAKER_RECOVERY_MODE_HOME && \
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SUPERVISOR_VERSION=$(grep "^conda-forge::supervisor\[" /tmp/$ENV_IN_FILENAME) && \
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JUPYTERLAB_VERSION=$(grep "^conda-forge::jupyterlab\[" /tmp/$ENV_IN_FILENAME) && \
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SAGEMAKER_JUPYTERLAB_VERSION=$(grep "^conda-forge::sagemaker-jupyterlab-extension" /tmp/$ENV_IN_FILENAME) && \
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echo "Installing in sagemaker-recovery-mode micromamba environment: $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION" && \
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micromamba create -n sagemaker-recovery-mode && \
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micromamba install -n sagemaker-recovery-mode -y $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION $SUPERVISOR_VERSION && \
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micromamba clean --all --yes --force-pkgs-dirs && \
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rm -rf /tmp/*.in && \
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sudo ln -s $(which python3) /usr/bin/python && \
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# Update npm version
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npm i -g npm && \
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# Enforce to use `conda-forge` as only channel, by removing `defaults`
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conda config --remove channels defaults && \
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micromamba config append channels conda-forge --env && \
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# Configure CodeEditor - Install extensions and set preferences
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extensionloc=/opt/amazon/sagemaker/sagemaker-code-editor-server-data/extensions && mkdir -p "${extensionloc}" \
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# Loop through all vsix files in /etc/code-editor/extensions and install them
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&& for ext in /etc/code-editor/extensions/*.vsix; do \
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echo "Installing extension ${ext}..."; \
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sagemaker-code-editor --install-extension "${ext}" --extensions-dir "${extensionloc}" --server-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-server-data --user-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-user-data; \
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done \
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# Copy the settings
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&& cp /etc/code-editor/code_editor_machine_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/Machine/settings.json && \
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cp /etc/code-editor/code_editor_user_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/User/settings.json && \
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# Install glue kernels, and move to shared directory
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# Also patching base kernel so Studio background code doesn't start session silently
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install-glue-kernels && \
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SITE_PACKAGES=$(pip show aws-glue-sessions | grep Location | awk '{print $2}') && \
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jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_pyspark --user && \
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jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_spark --user && \
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mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_pyspark /opt/conda/share/jupyter/kernels && \
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mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_spark /opt/conda/share/jupyter/kernels && \
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sed -i '/if not store_history and (/i\ if "sm_analytics_runtime_check" in code:\n return await self._complete_cell()\n' \
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"$SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_kernel_base/BaseKernel.py" && \
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# Install FIPS Provider for OpenSSL, on top of existing OpenSSL installation
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# v3.0.8 is latest FIPS validated provider, so this is the one we install
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# But we need to run tests against the installed version.
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# see https://github.com/openssl/openssl/blob/master/README-FIPS.md https://www.openssl.org/source/
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INSTALLED_SSL=$(micromamba list | grep openssl | tr -s ' ' | cut -d ' ' -f 3 | head -n 1) && \
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# download source code for installed, and FIPS validated openssl versions
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curl -L https://github.com/openssl/openssl/releases/download/openssl-$FIPS_VALIDATED_SSL/openssl-$FIPS_VALIDATED_SSL.tar.gz > openssl-$FIPS_VALIDATED_SSL.tar.gz && \
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curl -L https://github.com/openssl/openssl/releases/download/openssl-$INSTALLED_SSL/openssl-$INSTALLED_SSL.tar.gz > openssl-$INSTALLED_SSL.tar.gz && \
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tar -xf openssl-$FIPS_VALIDATED_SSL.tar.gz && tar -xf openssl-$INSTALLED_SSL.tar.gz && cd openssl-$FIPS_VALIDATED_SSL && \
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# Configure both versions to enable FIPS and build
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./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
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cd ../openssl-$INSTALLED_SSL && \
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./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
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# Copy validated provider to installed version for testing
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cp ../openssl-$FIPS_VALIDATED_SSL/providers/fips.so providers/. && \
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cp ../openssl-$FIPS_VALIDATED_SSL/providers/fipsmodule.cnf providers/. && \
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make tests && cd ../openssl-$FIPS_VALIDATED_SSL && \
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# After tests pass, install FIPS provider and remove source code
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make install_fips && cd .. && rm -rf ./openssl-* && \
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# Create new config file with fips-enabled. Then user can override OPENSSL_CONF to enable FIPS
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# e.g. export OPENSSL_CONF=/opt/conda/ssl/openssl-fips.cnf
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cp /opt/conda/ssl/openssl.cnf /opt/conda/ssl/openssl-fips.cnf && \
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sed -i "s:# .include fipsmodule.cnf:.include /opt/conda/ssl/fipsmodule.cnf:" /opt/conda/ssl/openssl-fips.cnf && \
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sed -i 's:# fips = fips_sect:fips = fips_sect:' /opt/conda/ssl/openssl-fips.cnf && \
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# Install Kerberos.
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# Make sure no dependency is added/updated
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pip install "krb5>=0.5.1,<0.6" && \
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pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] ' && \
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# https://stackoverflow.com/questions/122327
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SYSTEM_PYTHON_PATH=$(python3 -c "from __future__ import print_function;import sysconfig; print(sysconfig.get_paths().get('purelib'))") && \
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# Remove SparkRKernel as it's not supported \
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jupyter-kernelspec remove -f -y sparkrkernel && \
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# Patch Sparkmagic lib to support Custom Certificates \
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# https://github.com/jupyter-incubator/sparkmagic/pull/435/files \
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cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/configuration.py ${SYSTEM_PYTHON_PATH}/sparkmagic/utils/ && \
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cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/reliablehttpclient.py ${SYSTEM_PYTHON_PATH}/sparkmagic/livyclientlib/reliablehttpclient.py && \
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sed -i 's= "python"= "/opt/conda/bin/python"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \
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sed -i 's="Spark"="SparkMagic Spark"=g' /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \
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sed -i 's="PySpark"="SparkMagic PySpark"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json && \
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# Configure RTC - disable jupyter_collaboration by default
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jupyter labextension disable @jupyter/collaboration-extension
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# Patch glue kernels to use kernel wrapper
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COPY patch_glue_pyspark.json /opt/conda/share/jupyter/kernels/glue_pyspark/kernel.json
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COPY patch_glue_spark.json /opt/conda/share/jupyter/kernels/glue_spark/kernel.json
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USER root
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# Create logging directories for supervisor
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RUN mkdir -p $SAGEMAKER_LOGGING_DIR && \
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chmod a+rw $SAGEMAKER_LOGGING_DIR && \
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mkdir -p ${STUDIO_LOGGING_DIR} && \
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chown ${NB_USER}:${MAMBA_USER} ${STUDIO_LOGGING_DIR} && \
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# Clean up CodeEditor artifacts
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rm -rf /etc/code-editor && \
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# Create supervisord runtime directory
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mkdir -p /var/run/supervisord && \
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chmod a+rw /var/run/supervisord && \
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# Create root directory for DB
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# Create logging directories for supervisor
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mkdir -p $DB_ROOT_DIR && \
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chmod a+rw $DB_ROOT_DIR && \
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HOME_DIR="/home/${NB_USER}/licenses" \
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&& mkdir -p ${HOME_DIR} \
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&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
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&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
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&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
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&& chmod +x /usr/local/bin/testOSSCompliance \
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&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
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&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \
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&& rm -rf ${HOME_DIR}/oss_compliance*
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# Explicitly disable BuildKit for SM Studio Docker functionality
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ENV DOCKER_BUILDKIT=0
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ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
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WORKDIR "/home/${NB_USER}"
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ENV SHELL=/bin/bash
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ENV OPENSSL_MODULES=/opt/conda/lib64/ossl-modules/
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USER $MAMBA_USER

‎build_artifacts/v2/v2.4/v2.4.0/cpu.env.in

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# This file is auto-generated.
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conda-forge::s3fs[version='>=2024.10.0,<2025.0.0']
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conda-forge::seaborn[version='>=0.13.2,<1.0.0']
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conda-forge::jupyter-activity-monitor-extension[version='>=0.3.1,<1.0.0']
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conda-forge::mlflow[version='>=2.20.0,<3.0.0']
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conda-forge::sagemaker-mlflow[version='>=0.1.0,<1.0.0']
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conda-forge::langchain-aws[version='>=0.2.10,<1.0.0']
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conda-forge::jupyter-collaboration[version='>=2.1.5,<3.0.0']
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conda-forge::sagemaker-code-editor[version='>=1.4.2,<2.0.0']
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conda-forge::amazon_sagemaker_sql_editor[version='>=0.1.14,<1.0.0']
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conda-forge::amazon-sagemaker-sql-magic[version='>=0.1.3,<1.0.0']
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conda-forge::amazon-sagemaker-jupyter-ai-q-developer[version='>=1.0.16,<2.0.0']
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conda-forge::amazon-q-developer-jupyterlab-ext[version='>=3.4.5,<4.0.0']
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conda-forge::langchain[version='>=0.3.15,<1.0.0']
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conda-forge::fastapi[version='>=0.115.7,<1.0.0']
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conda-forge::uvicorn[version='>=0.34.0,<1.0.0']
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conda-forge::pytorch[version='>=2.4.1,<3.0.0']
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conda-forge::tensorflow[version='>=2.17.0,<3.0.0']
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conda-forge::python[version='>=3.11.11,<3.12.0']
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conda-forge::pip[version='>=24.3.1,<25.0.0']
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conda-forge::torchvision[version='>=0.19.1,<1.0.0']
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conda-forge::numpy[version='>=1.26.4,<2.0.0']
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conda-forge::pandas[version='>=2.2.3,<3.0.0']
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conda-forge::scikit-learn[version='>=1.5.2,<2.0.0']
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conda-forge::jinja2[version='>=3.1.5,<4.0.0']
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conda-forge::matplotlib-base[version='>=3.10.0,<4.0.0']
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conda-forge::sagemaker-headless-execution-driver[version='>=0.0.13,<1.0.0']
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conda-forge::ipython[version='>=8.31.0,<9.0.0']
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conda-forge::scipy[version='>=1.15.1,<2.0.0']
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conda-forge::keras[version='>=3.8.0,<4.0.0']
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conda-forge::py-xgboost-cpu[version='>=2.1.3,<3.0.0']
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conda-forge::jupyterlab[version='>=4.2.6,<5.0.0']
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conda-forge::ipywidgets[version='>=8.1.5,<9.0.0']
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conda-forge::conda[version='>=24.11.3,<25.0.0']
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conda-forge::boto3[version='>=1.36.3,<2.0.0']
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conda-forge::sagemaker-python-sdk[version='>=2.228.0,<3.0.0']
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conda-forge::supervisor[version='>=4.2.5,<5.0.0']
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conda-forge::autogluon[version='>=1.2.0,<2.0.0']
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conda-forge::aws-glue-sessions[version='>=1.0.8,<2.0.0']
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conda-forge::sagemaker-kernel-wrapper[version='>=0.0.4,<1.0.0']
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conda-forge::jupyter-ai[version='>=2.29.0,<3.0.0']
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conda-forge::jupyter-scheduler[version='>=2.10.0,<3.0.0']
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conda-forge::jupyter-lsp[version='>=2.2.5,<3.0.0']
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conda-forge::jupyterlab-lsp[version='>=5.0.3,<6.0.0']
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conda-forge::python-lsp-server[version='>=1.12.0,<2.0.0']
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conda-forge::notebook[version='>=7.2.2,<8.0.0']
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conda-forge::altair[version='>=5.5.0,<6.0.0']
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conda-forge::sagemaker-studio-analytics-extension[version='>=0.1.4,<1.0.0']
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conda-forge::jupyter-dash[version='>=0.4.2,<1.0.0']
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conda-forge::sagemaker-jupyterlab-extension[version='>=0.3.3,<1.0.0']
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conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.3.7,<1.0.0']
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conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.1.8,<4.0.0']
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conda-forge::jupyter-server-proxy[version='>=4.4.0,<5.0.0']
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conda-forge::jupyterlab-git[version='>=0.50.2,<1.0.0']
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conda-forge::pyhive[version='>=0.7.0,<1.0.0']
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conda-forge::python-gssapi[version='>=1.9.0,<2.0.0']
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conda-forge::tf-keras[version='>=2.17.0,<3.0.0']
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conda-forge::git-remote-codecommit[version='>=1.16,<2.0.0']
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conda-forge::sentencepiece[version='>=0.1.99,<1.0.0']
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conda-forge::docker-cli[version='>=27.5.1,<28.0.0']
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conda-forge::libmamba[version='>=1.5.12,<2.0.0']
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conda-forge::dash[version='>=2.18.1,<3.0.0']
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conda-forge::evaluate[version='>=0.4.1,<1.0.0']

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/code-editor/code_editor_machine_settings.json

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{
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"python.terminal.activateEnvironment": false,
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"python.defaultInterpreterPath": "/opt/conda/bin/python"
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}

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/code-editor/code_editor_user_settings.json

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{
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"extensions.autoUpdate": false
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}

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/code-editor/extensions.txt

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https://open-vsx.org/api/ms-toolsai/jupyter/2023.9.100/file/ms-toolsai.jupyter-2023.9.100.vsix
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https://open-vsx.org/api/ms-python/python/2023.20.0/file/ms-python.python-2023.20.0.vsix
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https://open-vsx.org/api/amazonwebservices/aws-toolkit-vscode/3.30.0/file/amazonwebservices.aws-toolkit-vscode-3.30.0.vsix
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https://open-vsx.org/api/amazonwebservices/amazon-q-vscode/1.32.0/file/amazonwebservices.amazon-q-vscode-1.32.0.vsix

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/conda/.condarc

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envs_dirs:
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- ~/.conda/envs
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- /opt/conda/envs
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pkgs_dirs:
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- ~/.conda/pkgs
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- /opt/conda/pkgs

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/jupyter/jupyter_server_config.py

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# Default Jupyter server config
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# Note: those config can be overridden by user-level configs.
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c.ServerApp.terminado_settings = {"shell_command": ["/bin/bash"]}
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c.ServerApp.tornado_settings = {"compress_response": True}
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# Do not delete files to trash. Instead, permanently delete files.
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c.FileContentsManager.delete_to_trash = False
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# Allow deleting non-empty directory via file browser. Related documentation:
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# https://github.com/jupyter-server/jupyter_server/blob/main/jupyter_server/services/contents/filemanager.py#L125-L129
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c.FileContentsManager.always_delete_dir = True
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# Enable `allow_hidden` by default, so hidden files are accessible via Jupyter server
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# Related documentation: https://jupyterlab.readthedocs.io/en/stable/user/files.html#displaying-hidden-files
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c.ContentsManager.allow_hidden = True
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# This will set the LanguageServerManager.extra_node_roots setting if amazon_sagemaker_sql_editor exists in the
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# environment. Ignore otherwise, don't fail the JL server start
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# Related documentation: https://jupyterlab-lsp.readthedocs.io/en/v3.4.0/Configuring.html
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try:
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import os
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module = __import__("amazon_sagemaker_sql_editor")
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module_location = os.path.dirname(module.__file__)
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c.LanguageServerManager.extra_node_roots = [f"{module_location}/sql-language-server"]
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except:
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pass

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/supervisor/conf.d/supervisord-code-editor.conf

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[include]
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files = supervisord-common.conf
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[program:codeeditorserver]
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directory=%(ENV_HOME)s
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command=start-code-editor
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autostart=true
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autorestart=true
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stdout_logfile=/dev/fd/1 ; Redirect web server logs to stdout
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stderr_logfile=/dev/fd/1
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stdout_logfile_maxbytes = 0 ; Fix: https://github.com/Supervisor/supervisor/issues/935
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stderr_logfile_maxbytes = 0 ; Fix: https://github.com/Supervisor/supervisor/issues/935

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/supervisor/conf.d/supervisord-common.conf

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[supervisord]
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nodaemon=true
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pidfile=/var/run/supervisord/supervisord.pid
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logfile=%(ENV_STUDIO_LOGGING_DIR)s/%(ENV_SAGEMAKER_APP_TYPE_LOWERCASE)s/supervisord/supervisord.log
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logfile_maxbytes=5MB
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logfile_backups=10
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redirect_stderr=true
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[unix_http_server]
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file=/var/run/supervisord/supervisor.sock
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chmod=0700
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[supervisorctl]
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serverurl=unix:///var/run/supervisord/supervisor.sock
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[rpcinterface:supervisor]
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supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface

‎build_artifacts/v2/v2.4/v2.4.0/dirs/etc/supervisor/conf.d/supervisord-jupyter-lab.conf

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[include]
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files = supervisord-common.conf
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[program:jupyterlabserver]
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directory=%(ENV_HOME)s
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command=start-jupyter-server
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stopasgroup=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0

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