conda-forge / pytest-subtests-feedstock

A conda-smithy repository for pytest-subtests.

About pytest-subtests-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/pytest-dev/pytest-subtests

Package license: MIT

Summary: unittest subTest() support and subtests fixture

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing pytest-subtests

Installing pytest-subtests 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, pytest-subtests can be installed with conda:

conda install pytest-subtests

or with mamba:

mamba install pytest-subtests

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

conda search pytest-subtests --channel conda-forge

or with mamba:

mamba search pytest-subtests --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

# List dependencies of `pytest-subtests`:
mamba repoquery depends pytest-subtests --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-Cloud 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 pytest-subtests-feedstock

If you would like to improve the pytest-subtests 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/pytest-subtests-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

• @nicoddemus

pytest-subtests-feedstock's Issues

Recipe is missing `attrs` dependency

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

pytest-subtests depends on attrs, but this dependency is not included in the recipe. pytest-subtests installed from conda-forge can't be used without separately installing attrs. This issue is appearing now because pytest removed their attrs dependency in 7.3.0.

$ conda create -n pytest && conda activate pytest
$ conda install pytest-subtests
$ python -c "import pytest_subtests"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/emily/miniconda3/envs/pytest/lib/python3.11/site-packages/pytest_subtests.py", line 5, in <module>
    import attr
ModuleNotFoundError: No module named 'attr'

Installed packages

bzip2                     1.0.8                h0d85af4_4    conda-forge
ca-certificates           2022.12.7            h033912b_0    conda-forge
colorama                  0.4.6              pyhd8ed1ab_0    conda-forge
exceptiongroup            1.1.1              pyhd8ed1ab_0    conda-forge
importlib-metadata        6.3.0              pyha770c72_0    conda-forge
iniconfig                 2.0.0              pyhd8ed1ab_0    conda-forge
libexpat                  2.5.0                hf0c8a7f_1    conda-forge
libffi                    3.4.2                h0d85af4_5    conda-forge
libsqlite                 3.40.0               ha978bb4_0    conda-forge
libzlib                   1.2.13               hfd90126_4    conda-forge
ncurses                   6.3                  h96cf925_1    conda-forge
openssl                   3.1.0                hfd90126_0    conda-forge
packaging                 23.1               pyhd8ed1ab_0    conda-forge
pip                       23.0.1             pyhd8ed1ab_0    conda-forge
pluggy                    1.0.0              pyhd8ed1ab_5    conda-forge
pytest                    7.3.0              pyhd8ed1ab_0    conda-forge
pytest-subtests           0.10.0             pyhd8ed1ab_0    conda-forge
python                    3.11.3          h99528f9_0_cpython    conda-forge
readline                  8.2                  h9e318b2_1    conda-forge
setuptools                67.6.1             pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h5dbffcc_0    conda-forge
tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
tzdata                    2023c                h71feb2d_0    conda-forge
wheel                     0.40.0             pyhd8ed1ab_0    conda-forge
xz                        5.2.6                h775f41a_0    conda-forge
zipp                      3.15.0             pyhd8ed1ab_0    conda-forge

Environment info

active environment : pytest
    active env location : /Users/emily/miniconda3/envs/pytest
            shell level : 2
       user config file : /Users/emily/.condarc
 populated config files : /Users/emily/.condarc
          conda version : 4.13.0
    conda-build version : not installed
         python version : 3.9.12.final.0
       virtual packages : __osx=13.2.1=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /Users/emily/miniconda3  (writable)
      conda av data dir : /Users/emily/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/osx-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/osx-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /Users/emily/miniconda3/pkgs
                          /Users/emily/.conda/pkgs
       envs directories : /Users/emily/miniconda3/envs
                          /Users/emily/.conda/envs
               platform : osx-64
             user-agent : conda/4.13.0 requests/2.28.1 CPython/3.9.12 Darwin/22.3.0 OSX/13.2.1
                UID:GID : 501:20
             netrc file : None
           offline mode : False