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Merge branch 'main' of https://github.com/zarr-developers/zarr-python into docs/3.0-index-update
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.github/workflows/test.yml

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run: |
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hatch env run --env ${{ matrix.dependency-set }} run
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doctests:
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name: doctests
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with:
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fetch-depth: 0 # required for hatch version discovery, which is needed for numcodecs.zarr3
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.13'
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cache: 'pip'
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- name: Install Hatch
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run: |
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python -m pip install --upgrade pip
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pip install hatch
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- name: Set Up Hatch Env
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run: |
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hatch env create doctest
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hatch env run -e doctest list-env
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- name: Run Tests
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run: |
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hatch env run --env doctest run
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test-complete:
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name: Test complete
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needs:
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[
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test,
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test-upstream-and-min-deps,
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doctests
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]
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if: always()
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runs-on: ubuntu-latest
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contains(needs.*.result, 'cancelled')
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run: exit 1
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- name: Success
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run: echo Success!
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run: echo Success!

.gitignore

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docs/_autoapi
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docs/data
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data
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data.zip
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# PyBuilder
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target/

docs/about.rst

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About
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=====
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Zarr is a format for the storage of chunked, compressed, N-dimensional arrays
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inspired by `HDF5 <https://www.hdfgroup.org/HDF5/>`_, `h5py
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<https://www.h5py.org/>`_ and `bcolz <https://bcolz.readthedocs.io/>`_.
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These documents describe the Zarr-Python implementation. More information
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about the Zarr format can be found on the `main website <https://zarr.dev>`_.
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Projects using Zarr
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-------------------
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If you are using Zarr-Python, we would `love to hear about it
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<https://github.com/zarr-developers/community/issues/19>`_.
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Funding
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-------
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The project is fiscally sponsored by `NumFOCUS <https://numfocus.org/>`_, a US
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501(c)(3) public charity, and development is supported by the
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`MRC Centre for Genomics and Global Health <https://www.cggh.org>`_
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and the `Chan Zuckerberg Initiative <https://chanzuckerberg.com/>`_.
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.. _NumCodecs: https://numcodecs.readthedocs.io/

docs/conf.py

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import sys
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from typing import Any
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import sphinx
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import sphinx.application
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from importlib.metadata import version as get_version
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"sphinx_copybutton",
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"sphinx_design",
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'sphinx_reredirects',
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"IPython.sphinxext.ipython_directive",
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"IPython.sphinxext.ipython_console_highlighting",
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]
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issues_github_path = "zarr-developers/zarr-python"
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autoapi_keep_files = True
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autoapi_options = [ 'members', 'undoc-members', 'show-inheritance', 'show-module-summary', 'imported-members', ]
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def skip_submodules(
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app: sphinx.application.Sphinx,
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what: str,
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name: str,
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obj: object,
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skip: bool,
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options: dict[str, Any]
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) -> bool:
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# Skip documenting zarr.codecs submodules
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# codecs are documented in the main zarr.codecs namespace
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if what == "module" and name.startswith("zarr.codecs."):
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skip = True
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return skip
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# Add any paths that contain templates here, relative to this directory.
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templates_path = ["_templates"]
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"spec/v3": "https://zarr-specs.readthedocs.io/en/latest/v3/core/v3.0.html",
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"license": "https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt",
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"tutorial": "user-guide",
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"getting-started": "quickstart",
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"release": "developers/release.html",
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"roadmap": "developers/roadmap.html",
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}
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# The language for content autogenerated by Sphinx. Refer to documentation
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def setup(app: sphinx.application.Sphinx) -> None:
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app.add_css_file("custom.css")
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app.connect("autoapi-skip-member", skip_submodules)
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# The name of an image file (relative to this directory) to use as a favicon of

docs/contributing.rst renamed to docs/developers/contributing.rst

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Contributing
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============
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Contributing to Zarr
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====================
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Zarr is a community maintained project. We welcome contributions in the form of bug
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reports, bug fixes, documentation, enhancement proposals and more. This page provides
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interpreter can be obtained by running a Python interactive session, e.g.::
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$ python
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Python 3.6.1 (default, Mar 22 2017, 06:17:05)
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[GCC 6.3.0 20170321] on linux
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Python 3.12.7 | packaged by conda-forge | (main, Oct 4 2024, 15:57:01) [Clang 17.0.6 ] on darwin
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Enhancement proposals
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---------------------
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* `https://github.com/zarr-developers/zarr-python <https://github.com/zarr-developers/zarr-python>`_
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You will need your own fork to work on the code. Go to the link above and hit
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the "Fork" button. Then clone your fork to your local machine::
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the `"Fork" <https://github.com/zarr-developers/zarr-python/fork>`_ button.
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Then clone your fork to your local machine::
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$ git clone [email protected]:your-user-name/zarr-python.git
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$ cd zarr-python
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Creating a development environment
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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To work with the Zarr source code, it is recommended to set up a Python virtual
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environment and install all Zarr dependencies using the same versions as are used by
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the core developers and continuous integration services. Assuming you have a Python
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3 interpreter already installed, and you have cloned the Zarr source code and your
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current working directory is the root of the repository, you can do something like
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the following::
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To work with the Zarr source code, it is recommended to use
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`hatch <https://hatch.pypa.io/latest/index.html>`_ to create and manage development
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environments. Hatch will automatically install all Zarr dependencies using the same
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versions as are used by the core developers and continuous integration services.
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Assuming you have a Python 3 interpreter already installed, and you have cloned the
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Zarr source code and your current working directory is the root of the repository,
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you can do something like the following::
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$ mkdir -p ~/pyenv/zarr-dev
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$ python -m venv ~/pyenv/zarr-dev
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$ source ~/pyenv/zarr-dev/bin/activate
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$ pip install -e .[test,docs]
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$ pip install hatch
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$ hatch env show # list all available environments
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To verify that your development environment is working, you can run the unit tests::
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To verify that your development environment is working, you can run the unit tests
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for one of the test environments, e.g.::
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$ python -m pytest -v tests
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$ hatch env run --env test.py3.12-2.1-optional run
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Creating a branch
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~~~~~~~~~~~~~~~~~
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git checkout main
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git fetch upstream
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git rebase upstream/main
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git push
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git checkout -b shiny-new-feature
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git checkout -b shiny-new-feature upstream/main
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git push -u origin shiny-new-feature
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This changes your working directory to the 'shiny-new-feature' branch. Keep any changes in
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Alternatively, you can merge the changes in from upstream/main instead of rebasing,
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git fetch upstream
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git merge upstream/main
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git pull upstream main
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Again, any conflicts need to be resolved before submitting a pull request.
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Running the test suite
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~~~~~~~~~~~~~~~~~~~~~~
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Zarr includes a suite of unit tests, as well as doctests included in
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function and class docstrings and in the tutorial and storage
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spec. The simplest way to run the unit tests is to activate your
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development environment (see `creating a development environment`_ above)
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and invoke::
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$ python -m pytest -v zarr
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Some tests require optional dependencies to be installed, otherwise
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the tests will be skipped. To install all optional dependencies, run::
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$ pip install pytest-doctestplus
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To also run the doctests within docstrings (requires optional
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dependencies to be installed), run::
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$ python -m pytest -v --doctest-plus zarr
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To run the doctests within the tutorial and storage spec (requires
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optional dependencies to be installed), run::
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$ python -m doctest -o NORMALIZE_WHITESPACE -o ELLIPSIS docs/tutorial.rst docs/spec/v2.rst
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Note that some tests also require storage services to be running
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locally. To run the Azure Blob Service storage tests, run an Azure
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storage emulator (e.g., azurite) and set the environment variable
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``ZARR_TEST_ABS=1``. If you're using Docker to run azurite, start the service with::
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Zarr includes a suite of unit tests. The simplest way to run the unit tests
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is to activate your development environment
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(see `creating a development environment`_ above) and invoke::
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docker run --rm -p 10000:10000 mcr.microsoft.com/azure-storage/azurite azurite-blob --loose --blobHost 0.0.0.0
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To run the Mongo DB storage tests, run a Mongo
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server locally and set the environment variable ``ZARR_TEST_MONGO=1``.
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To run the Redis storage tests, run a Redis server locally on port
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6379 and set the environment variable ``ZARR_TEST_REDIS=1``.
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$ hatch env run --env test.py3.12-2.1-optional run
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All tests are automatically run via GitHub Actions for every pull
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request and must pass before code can be accepted. Test coverage is
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also collected automatically via the Codecov service, and total
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coverage over all builds must be 100% (although individual builds
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may be lower due to Python 2/3 or other differences).
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also collected automatically via the Codecov service.
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.. note::
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Previous versions of Zarr-Python made extensive use of doctests. These tests were
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not maintained during the 3.0 refactor but may be brought back in the future.
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See :issue:`2614` for more details.
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Code standards - using pre-commit
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Test coverage
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Zarr maintains 100% test coverage under the latest Python stable release (currently
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Python 3.8). Both unit tests and docstring doctests are included when computing
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coverage. Running::
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.. note::
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Test coverage for Zarr-Python 3 is currently not at 100%. This is a known issue and help
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is welcome to bring test coverage back to 100%. See :issue:`2613` for more details.
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Zarr strives to maintain 100% test coverage under the latest Python stable release
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Both unit tests and docstring doctests are included when computing coverage. Running::
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$ python -m pytest -v --cov=zarr --cov-config=pyproject.toml zarr
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$ hatch env run --env test.py3.12-2.1-optional run-coverage
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will automatically run the test suite with coverage and produce a coverage report.
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This should be 100% before code can be accepted into the main code base.
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`numpydoc
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<https://numpydoc.readthedocs.io/en/stable/format.html#docstring-standard>`_
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standard, including sections for Parameters and Examples. All examples
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should run and pass as doctests under Python 3.8. To run doctests,
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activate your development environment, install optional requirements,
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and run::
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$ python -m pytest -v --doctest-plus tests
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should run and pass as doctests under Python 3.11.
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Zarr uses Sphinx for documentation, hosted on readthedocs.org. Documentation is
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written in the RestructuredText markup language (.rst files) in the ``docs`` folder.
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The documentation consists both of prose and API documentation. All user-facing classes
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and functions should be included in the API documentation, under the ``docs/api``
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folder. Any new features or important usage information should be included in the
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tutorial (``docs/tutorial.rst``). Any changes should also be included in the release
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notes (``docs/release.rst``).
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and functions are included in the API documentation, under the ``docs/api`` folder
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using the `autodoc <https://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html>`_
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extension to sphinx. Any new features or important usage information should be included in the
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user-guide (``docs/user-guide``). Any changes should also be included in the release
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notes (``docs/developers/release.rst``).
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The documentation can be built locally by running::
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$ cd docs
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$ make clean; make html
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$ open _build/html/index.html
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$ hatch --env docs run build
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The resulting built documentation will be available in the ``docs/_build/html`` folder.
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Hatch can also be used to serve continuously updating version of the documentation
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during development at `http://0.0.0.0:8000/ <http://0.0.0.0:8000/>`_. This can be done by running::
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$ hatch --env docs run serve
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Development best practices, policies and procedures
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---------------------------------------------------
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number 3.0.0. Note however that the major version number of the Zarr library may not
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always correspond to the spec version number. For example, Zarr versions 2.x, 3.x, and
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4.x might all implement the same version of the storage spec and thus maintain data
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format compatibility, although they will not maintain API compatibility. The version number
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of the storage specification that is currently implemented is stored under the
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``zarr.meta.ZARR_FORMAT`` variable.
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Note that the Zarr test suite includes a data fixture and tests to try and ensure that
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data format compatibility is not accidentally broken. See the
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:func:`test_format_compatibility` function in the :mod:`tests.test_storage` module
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for details.
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format compatibility, although they will not maintain API compatibility.
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When to make a release
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~~~~~~~~~~~~~~~~~~~~~~
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.. note::
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Most of the release process is now handled by github workflow which should
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Most of the release process is now handled by GitHub workflow which should
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automatically push a release to PyPI if a tag is pushed.
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Before releasing, make sure that all pull requests which will be

docs/developers/index.rst

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Developer's Guide
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-----------------
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.. toctree::
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:maxdepth: 1
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contributing
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release
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roadmap

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