Rename opensourceeconomics -> optimagic-dev; adjust badges

CHANGES.md

@@ -2,7 +2,7 @@
 
 This is a record of all past optimagic releases and what went into them in reverse
 chronological order. We follow [semantic versioning](https://semver.org/) and all
-releases are available on [Anaconda.org](https://anaconda.org/OpenSourceEconomics/optimagic).
+releases are available on [Anaconda.org](https://anaconda.org/optimagic-dev/optimagic).
 
 Following the [scientific python guidelines](https://scientific-python.org/specs/spec-0000/)
 we drop the official support for Python 3.9.

CITATION

@@ -1,19 +1,19 @@
 
-Please use one of the following samples to cite the estimagic version (change
+Please use one of the following samples to cite the optimagic version (change
 x.y) from this installation
 
 Text:
 
 [optimagic]  optimagic x.y, 2024
-Janos Gabler, https://github.com/OpenSourceEconomics/optimagic
+Janos Gabler, https://github.com/optimagic-dev/optimagic
 
 BibTeX:
 
 @Unpublished{Gabler2024,
       Title  = {optimagic: A library for nonlinear optimization},
       Author = {Janos Gabler},
       Year   = {2024},
-      Url    = {https://github.com/OpenSourceEconomics/optimagic}
+      Url    = {https://github.com/optimagic-dev/optimagic}
     }
 
 If you are unsure about which version of optimagic you are using run: `conda list optimagic`.

README.md

@@ -1,17 +1,17 @@
 # optimagic
 
 ![PyPI - Version](https://img.shields.io/pypi/v/optimagic)
-[![image](https://img.shields.io/pypi/pyversions/estimagic)](https://pypi.org/project/estimagic)
-[![image](https://img.shields.io/conda/vn/conda-forge/estimagic.svg)](https://anaconda.org/conda-forge/estimagic)
-[![image](https://img.shields.io/conda/pn/conda-forge/estimagic.svg)](https://anaconda.org/conda-forge/estimagic)
-[![image](https://img.shields.io/pypi/l/estimagic)](https://pypi.org/project/estimagic)
-[![image](https://readthedocs.org/projects/estimagic/badge/?version=latest)](https://estimagic.readthedocs.io/en/latest)
-[![image](https://img.shields.io/github/actions/workflow/status/OpenSourceEconomics/estimagic/main.yml?branch=main)](https://github.com/OpenSourceEconomics/estimagic/actions?query=branch%3Amain)
-[![image](https://codecov.io/gh/OpenSourceEconomics/estimagic/branch/main/graph/badge.svg)](https://codecov.io/gh/OpenSourceEconomics/optimagic)
-[![image](https://results.pre-commit.ci/badge/github/OpenSourceEconomics/estimagic/main.svg)](https://github.com/OpenSourceEconomics/optimagic/actions?query=branch%3Amain)
-[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![image](https://img.shields.io/pypi/pyversions/optimagic)](https://pypi.org/project/optimagic)
+[![image](https://img.shields.io/conda/vn/conda-forge/optimagic.svg)](https://anaconda.org/conda-forge/optimagic)
+[![image](https://img.shields.io/conda/pn/conda-forge/optimagic.svg)](https://anaconda.org/conda-forge/optimagic)
+[![image](https://img.shields.io/pypi/l/optimagic)](https://pypi.org/project/optimagic)
+[![image](https://readthedocs.org/projects/optimagic/badge/?version=latest)](https://optimagic.readthedocs.io/en/latest)
+[![image](https://img.shields.io/github/actions/workflow/status/optimagic-dev/optimagic/main.yml?branch=main)](https://github.com/optimagic-dev/optimagic/actions?query=branch%3Amain)
+[![image](https://codecov.io/gh/optimagic-dev/optimagic/branch/main/graph/badge.svg)](https://codecov.io/gh/optimagic-dev/optimagic)
+[![image](https://results.pre-commit.ci/badge/github/optimagic-dev/optimagic/main.svg)](https://github.com/optimagic-dev/optimagic/actions?query=branch%3Amain)
+[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
 [![image](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](CODE_OF_CONDUCT.md)
-[![image](https://pepy.tech/badge/estimagic/month)](https://pepy.tech/project/estimagic)
+[![image](https://pepy.tech/badge/optimagic/month)](https://pepy.tech/project/optimagic)
 [![image](https://img.shields.io/badge/NumFOCUS-affiliated%20project-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org/sponsored-projects/affiliated-projects)
 [![image](https://img.shields.io/twitter/follow/aiidateam.svg?style=social&label=Follow)](https://x.com/optimagic)
 
@@ -86,7 +86,7 @@ If you use optimagic for your research, please do not forget to cite it.
   Title  = {optimagic: A library for nonlinear optimization},
   Author = {Janos Gabler},
   Year   = {2022},
-  Url    = {https://github.com/OpenSourceEconomics/optimagic}
+  Url    = {https://github.com/optimagic-dev/optimagic}
 }
 ```
 

docs/source/conf.py

@@ -81,7 +81,7 @@
 
 extlinks = {
     "ghuser": ("https://github.com/%s", "@"),
-    "gh": ("https://github.com/OpenSourceEconomics/optimagic/pulls/%s", "#"),
+    "gh": ("https://github.com/optimagic-dev/optimagic/pulls/%s", "#"),
 }
 
 intersphinx_mapping = {

docs/source/development/ep-01-pytrees.md

@@ -627,7 +627,7 @@ three types of moments have to be aligned, i.e. be stored in a tree of the same
 structure. We will raise an error if the trees do not have the same structure.
 
 This is a generalization of an interface that has already proven useful in
-[respy](https://github.com/OpenSourceEconomics/respy),
+[respy](https://github.com/optimagic-dev/respy),
 [sid](https://github.com/covid-19-impact-lab/sid) and other applications. In the future,
 the project specific implementations of flatten and unflatten functions could simply be
 deleted.
@@ -734,4 +734,4 @@ arrays and numbers for automatic differentiation.
 If you want to use automatic differentiation with estimagic you will thus have to
 restrict yourself in the way you specify parameters.
 
-[pybaum]: https://github.com/OpenSourceEconomics/pybaum
+[pybaum]: https://github.com/optimagic-dev/pybaum

docs/source/development/how_to_contribute.md

@@ -13,8 +13,8 @@ ideas and guide the development process from the beginning. You can start a conv
 by posting an issue on GitHub or by emailing [janosg](https://github.com/janosg).
 
 To get familiar with the codebase, we recommend checking out our
-[issue tracker](https://github.com/OpenSourceEconomics/optimagic/issues) for some
-immediate and clearly defined tasks.
+[issue tracker](https://github.com/optimagic-dev/optimagic/issues) for some immediate
+and clearly defined tasks.
 
 ## 2. Before you start
 
@@ -30,11 +30,11 @@ contribution process (see Notes below).
 
 ## 3. Step-by-step guide
 
-1. Fork the [optimagic repository](https://github.com/OpenSourceEconomics/optimagic/).
-   This action creates a copy of the repository with write access for you.
+1. Fork the [optimagic repository](https://github.com/optimagic-dev/optimagic/). This
+   action creates a copy of the repository with write access for you.
 
 ```{note}
-For regular contributors: **Clone** the [repository](https://github.com/OpenSourceEconomics/optimagic/) to your local machine and create a new branch for implementing your changes. You can push your branch directly to the remote optimagic repository and open a PR from there.
+For regular contributors: **Clone** the [repository](https://github.com/optimagic-dev/optimagic/) to your local machine and create a new branch for implementing your changes. You can push your branch directly to the remote optimagic repository and open a PR from there.
 ```
 
 2. Clone your forked repository to your disk. This is where you'll make all your
@@ -110,7 +110,7 @@ Skip the next paragraph if you haven't worked on the documentation.
    ```
 
    Follow the steps outlined in the optimagic
-   [PR template](https://github.com/OpenSourceEconomics/optimagic/blob/main/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md)
+   [PR template](https://github.com/optimagic-dev/optimagic/blob/main/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md)
    to describe your contribution, the problem it addresses, and your proposed solution.
 
    Opening a PR initiates a complete CI run, including the `pytest` suite, linters, code

docs/source/estimagic/explanation/cluster_robust_likelihood_inference.md

@@ -5,4 +5,4 @@
 (to be written.)
 
 In case of an urgent request for this guide, feel free to open an issue
-\[here\](<https://github.com/OpenSourceEconomics/estimagic/issues>).
+\[here\](<https://github.com/optimagic-dev/estimagic/issues>).

pyproject.toml

@@ -60,9 +60,9 @@ content-type = "text/markdown"
 text = "MIT"
 
 [project.urls]
-Repository = "https://github.com/opensourceeconomics/optimagic"
-Github = "https://github.com/opensourceeconomics/optimagic"
-Tracker = "https://github.com/OpenSourceEconomics/optimagic/issues"
+Repository = "https://github.com/optimagic-dev/optimagic"
+Github = "https://github.com/optimagic-dev/optimagic"
+Tracker = "https://github.com/optimagic-dev/optimagic/issues"
 
 
 # ======================================================================================

src/optimagic/optimization/create_optimization_problem.py

@@ -282,23 +282,23 @@ def create_optimization_problem(
     if hess is not None:
         msg = (
             "The hess argument is not yet supported in optimagic. Creat an issue on "
-            "https://github.com/OpenSourceEconomics/optimagic/ if you have urgent need "
+            "https://github.com/optimagic-dev/optimagic/ if you have urgent need "
             "for this feature."
         )
         raise NotImplementedError(msg)
 
     if hessp is not None:
         msg = (
             "The hessp argument is not yet supported in optimagic. Creat an issue on "
-            "https://github.com/OpenSourceEconomics/optimagic/ if you have urgent need "
+            "https://github.com/optimagic-dev/optimagic/ if you have urgent need "
             "for this feature."
         )
         raise NotImplementedError(msg)
 
     if callback is not None:
         msg = (
             "The callback argument is not yet supported in optimagic. Creat an issue "
-            "on https://github.com/OpenSourceEconomics/optimagic/ if you have urgent "
+            "on https://github.com/optimagic-dev/optimagic/ if you have urgent "
             "need for this feature."
         )
         raise NotImplementedError(msg)

src/optimagic/optimization/scipy_aliases.py

@@ -31,7 +31,7 @@ def map_method_to_algorithm(method):
     elif method in not_implemented:
         msg = (
             f"The method {method} is not yet wrapped in optimagic. Create an issue on "
-            "https://github.com/OpenSourceEconomics/optimagic/ if you have urgent need "
+            "https://github.com/optimagic-dev/optimagic/ if you have urgent need "
             "for this method."
         )
         raise NotImplementedError(msg)