conda-forge / netcdf4-feedstock

A conda-smithy repository for netcdf4.
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netcdf4 v1.6.0 #132

Closed regro-cf-autotick-bot closed 2 years ago

regro-cf-autotick-bot commented 2 years ago

It is very likely that the current package version for this feedstock is out of date.

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This PR was created by the regro-cf-autotick-bot. The regro-cf-autotick-bot is a service to automatically track the dependency graph, migrate packages, and propose package version updates for conda-forge. Feel free to drop us a line if there are any issues! This PR was generated by https://github.com/regro/autotick-bot/actions/runs/2558569900, please use this URL for debugging.

conda-forge-linter commented 2 years ago

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

xylar commented 2 years ago

It looks like a lot is going wrong with PyPy:

  × Running setup.py install for netCDF4 did not run successfully.
  │ exit code: -11
  ╰─> [32 lines of output]
      reading from setup.cfg...
      Package hdf5 was not found in the pkg-config search path.
      Perhaps you should add the directory containing `hdf5.pc'
      to the PKG_CONFIG_PATH environment variable
      No package 'hdf5' found
      using nc-config...
      checking /home/conda/feedstock_root/build_artifacts/netcdf4_1656113800756/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/include ...
      HDF5 library version: 1.12.1 headers found in /home/conda/feedstock_root/build_artifacts/netcdf4_1656113800756/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/include
      using netcdf library version b'4.8.1'
      using Cython to compile netCDF4.pyx...
      netcdf lib has group rename capability
      netcdf lib has nc_inq_path function
      netcdf lib has nc_inq_format_extended function
      netcdf lib has nc_open_mem function
      netcdf lib has nc_create_mem function
      netcdf lib has cdf-5 format capability
      netcdf lib has netcdf4 parallel functions
      netcdf lib does not have pnetcdf parallel functions
      netcdf lib does not have bit-grooming/quantization functions
      netcdf lib does not have zstandard compression functions
      netcdf lib does not have bzip2 compression functions
      netcdf lib does not have blosc compression functions
      netcdf lib does not have szip compression functions
      NETCDF_PLUGIN_DIR not set, no netcdf compression plugins installed
      running install
      /home/conda/feedstock_root/build_artifacts/netcdf4_1656113800756/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
        setuptools.SetuptoolsDeprecationWarning,
      running build
      running build_py
      package init file 'src/netCDF4/plugins/__init__.py' not found (or not a regular file)
      running build_ext
      cythoning src/netCDF4/_netCDF4.pyx to src/netCDF4/_netCDF4.c
      [end of output]

Anyone have the expertise to figure this out?

honnorat commented 2 years ago

Only MPI+mpich builds are failing with pypy. MPI+openmpi and nompi seem ok. CPython builds are OK too...

This is strange because the build complains about linking issues with hdf5 but the libnetcdf package is the same in both cases (libnetcdf 4.8.1-mpi_mpich_hcdf9059_2).

ocefpaf commented 2 years ago

Only MPI+mpich builds are failing with pypy. MPI+openmpi and nompi seem ok. CPython builds are OK too...

I'm inclined to merge this to "cash in" the passing ones and open an issue to investigate the rest later. @conda-forge/netcdf4 are you OK with that?

xylar commented 2 years ago

I'm okay with that.