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A conda-smithy repository for h5netcdf.

License: BSD 3-Clause "New" or "Revised" License

h5netcdf-feedstock's Introduction

About h5netcdf-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/h5netcdf/h5netcdf

Package license: BSD-3-Clause

Summary: Pythonic interface to netCDF4 via h5py

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing h5netcdf

Installing h5netcdf 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, h5netcdf can be installed with conda:

conda install h5netcdf

or with mamba:

mamba install h5netcdf

It is possible to list all of the versions of h5netcdf available on your platform with conda:

conda search h5netcdf --channel conda-forge

or with mamba:

mamba search h5netcdf --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search h5netcdf --channel conda-forge

# List packages depending on `h5netcdf`:
mamba repoquery whoneeds h5netcdf --channel conda-forge

# List dependencies of `h5netcdf`:
mamba repoquery depends h5netcdf --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 h5netcdf-feedstock

If you would like to improve the h5netcdf 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/h5netcdf-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

h5netcdf-feedstock's People

Contributors

Stargazers

Watchers

Forkers

ocefpaf conda-forge-admin lexual shoyer berryconda regro-cf-autotick-bot jjhelmus hmaarrfk ramonaoptics conda-forge-linter kmuehlbauer anacondarecipes

h5netcdf-feedstock's Issues

Version incorrectly reported (0.0.0)

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

micromamba create -n h5netcdf-version h5netcdf
micromamba activate h5netcdf-version
pip list

prints

❯ pip list
Package         Version
--------------- -------
cached-property 1.5.2
h5netcdf        0.0.0
h5py            3.8.0
numpy           1.24.2
packaging       23.0
pip             23.0.1
setuptools      67.4.0
wheel           0.38.4

The __version__ string is correctly set:

❯ python -c "import h5netcdf; print(h5netcdf.__version__)"
1.1.0

When creating an new env and pip installing h5netcdf, the version is fine:

❯ pip list | grep h5netcdf
h5netcdf   1.1.0

Installed packages

❯ conda list
List of packages in environment: "/Users/basnijholt/micromamba/envs/py310-test"

  Name             Version       Build                    Channel
───────────────────────────────────────────────────────────────────────
  bzip2            1.0.8         h3422bc3_4               conda-forge
  c-ares           1.18.1        h3422bc3_0               conda-forge
  ca-certificates  2022.12.7     h4653dfc_0               conda-forge
  cached-property  1.5.2         hd8ed1ab_1               conda-forge
  cached_property  1.5.2         pyha770c72_1             conda-forge
  h5netcdf         1.1.0         pyhd8ed1ab_0             conda-forge
  h5py             3.8.0         nompi_py311ha096f4f_101  conda-forge
  hdf5             1.14.0        nompi_h6b85c65_102       conda-forge
  krb5             1.20.1        h69eda48_0               conda-forge
  libaec           1.0.6         hb7217d7_1               conda-forge
  libblas          3.9.0         16_osxarm64_openblas     conda-forge
  libcblas         3.9.0         16_osxarm64_openblas     conda-forge
  libcurl          7.88.1        h9049daf_0               conda-forge
  libcxx           15.0.7        h75e25f2_0               conda-forge
  libedit          3.1.20191231  hc8eb9b7_2               conda-forge
  libev            4.33          h642e427_1               conda-forge
  libffi           3.4.2         h3422bc3_5               conda-forge
  libgfortran      5.0.0         11_3_0_hd922786_28       conda-forge
  libgfortran5     11.3.0        hdaf2cc0_28              conda-forge
  liblapack        3.9.0         16_osxarm64_openblas     conda-forge
  libnghttp2       1.51.0        hae82a92_0               conda-forge
  libopenblas      0.3.21        openmp_hc731615_3        conda-forge
  libsqlite        3.40.0        h76d750c_0               conda-forge
  libssh2          1.10.0        h7a5bd25_3               conda-forge
  libzlib          1.2.13        h03a7124_4               conda-forge
  llvm-openmp      15.0.7        h7cfbb63_0               conda-forge
  ncurses          6.3           h07bb92c_1               conda-forge
  numpy            1.24.2        py311h60f8152_0          conda-forge
  openssl          3.0.8         h03a7124_0               conda-forge
  packaging        23.0          pyhd8ed1ab_0             conda-forge
  pip              23.0.1        pyhd8ed1ab_0             conda-forge
  python           3.11.0        h3ba56d0_1_cpython       conda-forge
  python_abi       3.11          3_cp311                  conda-forge
  readline         8.1.2         h46ed386_0               conda-forge
  setuptools       67.4.0        pyhd8ed1ab_0             conda-forge
  tk               8.6.12        he1e0b03_0               conda-forge
  tzdata           2022g         h191b570_0               conda-forge
  wheel            0.38.4        pyhd8ed1ab_0             conda-forge
  xz               5.2.6         h57fd34a_0               conda-forge

Environment info

❯ conda info

                                           __
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/


            environment : py310-test (active)
           env location : /Users/basnijholt/micromamba/envs/py310-test
      user config files : /Users/basnijholt/.mambarc
 populated config files : /Users/basnijholt/.condarc
       libmamba version : 1.3.0
     micromamba version : 1.3.0
           curl version : libcurl/7.86.0 SecureTransport (OpenSSL/3.0.7) zlib/1.2.13 libssh2/1.10.0 nghttp2/1.47.0
     libarchive version : libarchive 3.6.2 zlib/1.2.13 bz2lib/1.0.8 libzstd/1.5.2
       virtual packages : __unix=0=0
                          __osx=13.2.1=0
                          __archspec=1=arm64
               channels : https://conda.anaconda.org/conda-forge/osx-arm64
                          https://conda.anaconda.org/conda-forge/noarch
       base environment : /Users/basnijholt/micromamba
               platform : osx-arm64

@conda-forge-admin, please add user @hmaarrfk

I read the conda-forge documentation and could not find the solution for my problem there.

Issue:

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info