conda-forge / numcodecs-feedstock

A conda-smithy repository for numcodecs.

About numcodecs-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/zarr-developers/numcodecs

Package license: MIT

Summary: A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.

Current build status

Azure

Variant Status linux_64_python3.10.____cpython linux_64_python3.11.____cpython linux_64_python3.12.____cpython linux_64_python3.8.____cpython linux_64_python3.9.____cpython linux_aarch64_python3.10.____cpython linux_aarch64_python3.11.____cpython linux_aarch64_python3.12.____cpython linux_aarch64_python3.8.____cpython linux_aarch64_python3.9.____cpython linux_ppc64le_python3.10.____cpython linux_ppc64le_python3.11.____cpython linux_ppc64le_python3.12.____cpython linux_ppc64le_python3.8.____cpython linux_ppc64le_python3.9.____cpython osx_64_python3.10.____cpython osx_64_python3.11.____cpython osx_64_python3.12.____cpython osx_64_python3.8.____cpython osx_64_python3.9.____cpython osx_arm64_python3.10.____cpython osx_arm64_python3.11.____cpython osx_arm64_python3.12.____cpython osx_arm64_python3.8.____cpython osx_arm64_python3.9.____cpython win_64_python3.10.____cpython win_64_python3.11.____cpython win_64_python3.12.____cpython win_64_python3.8.____cpython win_64_python3.9.____cpython

Current release info

Name	Downloads	Version	Platforms

Installing numcodecs

Installing numcodecs from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, numcodecs can be installed with conda:

conda install numcodecs

or with mamba:

mamba install numcodecs

It is possible to list all of the versions of numcodecs available on your platform with conda:

conda search numcodecs --channel conda-forge

or with mamba:

mamba search numcodecs --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search numcodecs --channel conda-forge

# List packages depending on `numcodecs`:
mamba repoquery whoneeds numcodecs --channel conda-forge

# List dependencies of `numcodecs`:
mamba repoquery depends numcodecs --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating numcodecs-feedstock

If you would like to improve the numcodecs recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/numcodecs-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @alimanfoo
• @jakirkham
• @joshmoore
• @jrbourbeau

numcodecs-feedstock's Issues

@conda-forge-admin, please rerender

@conda-forge-admin, please rerender.

Needed to move us to conda-build 3 on this feedstock.

Build without AVX2

For maximum portability, ensure the C extensions are built without AVX2. This probably currently happens anyway due to machine architectures on which conda-forge runs, but there is a new option to manually force disable AVX2 and so we could add this to the conda build.

@conda-forge-admin, please update version

@conda-forge-admin, please update version.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

missing `typing-extensions` dependency

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

In conda-forge/gdal-feedstock#637, we are seeing:

Traceback (most recent call last):
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/test_tmp/run_test.py", line 3, in <module>
    import zarr
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/zarr/__init__.py", line 2, in <module>
    from zarr.codecs import *
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/zarr/codecs.py", line 2, in <module>
    from numcodecs import *
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/numcodecs/__init__.py", line 26, in <module>
    from numcodecs.zlib import Zlib
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/numcodecs/zlib.py", line 5, in <module>
    from .compat import ndarray_copy, ensure_contiguous_ndarray
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/numcodecs/compat.py", line 10, in <module>
    from .ndarray_like import NDArrayLike, is_ndarray_like
  File "/home/conda/feedstock_root/build_artifacts/gdal-split_1656705056514/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.7/site-packages/numcodecs/ndarray_like.py", line 7, in <module>
    from typing_extensions import Protocol, runtime_checkable
ModuleNotFoundError: No module named 'typing_extensions'

Installed packages

CI (not available)

Environment info

CI (not available)

Upgrade to 0.1

N.B., this will require adding msgpack-python as a dependency.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

@conda-forge-admin , please re-render

@conda-forge-admin , please re-render

Add `entrypoints` requirement in next release

In PR ( zarr-developers/numcodecs#300 ), entrypoints was added as a requirement. Raising this to make sure we added it as a dependency when updating to the next release that contains this change.

cc @joshmoore (for awareness)

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

Add backports.lzma as dependency for PY27

Support for lzma via backports package should soon be in numcodecs (https://github.com/alimanfoo/numcodecs/pull/13), so should add a dependency on backports.lzma for PY27.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

Add `{{ stdlib('c') }}` to `requirements/build`

@conda-forge-admin , please re-render

Updating to pip

We should start using pip in this feedstock, but when I just now tried things quickly went off the rails. See this failed build for an example of the kinds of issues. For now have gone back to setuptools. Though would welcome feedback from others on how to correct this.

Add msgpack-python as dependency

@conda-forge-admin, please update version

@conda-forge-admin, please update version.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.

@conda-forge-admin, please re-render

@conda-forge-admin, please re-render.