.tar.gz on PyPI is missing the `requirements/` directory

[YodaEmbedding]

🐛 Bug Report

.tar.gz on PyPI is missing the requirements/ directory.

How To Reproduce

Download latest .tar.gz from: https://pypi.org/project/catalyst/#files.

Code sample

wget https://files.pythonhosted.org/packages/92/6b/035a8394f8aabff4d1bf8eab6eb232b9b4e187f6b62564fcb94feaaf7a82/catalyst-21.11.tar.gz
tar xf catalyst-21.11.tar.gz
cd catalyst-21.11
pip install .

Error log:

Processing /mnt/data/Downloads/catalyst-21.11
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
  Installing build dependencies ... done
  Getting requirements to build wheel ... error
  ERROR: Command errored out with exit status 1:
   command: /nix/store/bqpbprsqhlvmkfp1nqqm677dqr7ymjpl-python3-3.9.6-env/bin/python3.9 /nix/store/bqpbprsqhlvmkfp1nqqm677dqr7ymjpl-python3-3.9.6-env/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py get_requires_for_build_wheel /tmp/tmp0a2ik0cl
       cwd: /tmp/pip-req-build-yge_hp0l
  Complete output (20 lines):
  Traceback (most recent call last):
    File "/nix/store/bqpbprsqhlvmkfp1nqqm677dqr7ymjpl-python3-3.9.6-env/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 280, in <module>
      main()
    File "/nix/store/bqpbprsqhlvmkfp1nqqm677dqr7ymjpl-python3-3.9.6-env/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 263, in main
      json_out['return_val'] = hook(**hook_input['kwargs'])
    File "/nix/store/bqpbprsqhlvmkfp1nqqm677dqr7ymjpl-python3-3.9.6-env/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 114, in get_requires_for_build_wheel
      return hook(config_settings)
    File "/tmp/pip-build-env-qb_mcgns/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 162, in get_requires_for_build_wheel
      return self._get_build_requires(
    File "/tmp/pip-build-env-qb_mcgns/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 143, in _get_build_requires
      self.run_setup()
    File "/tmp/pip-build-env-qb_mcgns/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 267, in run_setup
      super(_BuildMetaLegacyBackend,
    File "/tmp/pip-build-env-qb_mcgns/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 158, in run_setup
      exec(compile(code, __file__, 'exec'), locals())
    File "setup.py", line 43, in <module>
      "albu": load_requirements("requirements/requirements-albu.txt"),
    File "setup.py", line 22, in load_requirements
      with open(os.path.join(PROJECT_ROOT, filename), "r") as f:
  FileNotFoundError: [Errno 2] No such file or directory: '/tmp/pip-req-build-yge_hp0l/requirements/requirements-albu.txt'
  ----------------------------------------

Additional context

pip install should be sufficient to build the package. This makes it easier to package on systems like NixOS.

{ lib
, buildPythonPackage
, fetchPypi
, hydra-slayer
, numpy
, pytest
, pytorch
, pyyaml
, tensorboardx
, tqdm
}:

buildPythonPackage rec {
  pname = "catalyst";
  version = "21.11";

  src = fetchPypi {
    inherit pname version;
    sha256 = "";
  };

  propagatedBuildInputs = [
    hydra-slayer
    numpy
    pytorch
    pyyaml
    tensorboardx
    tqdm
  ];

  checkInputs = [
    pytest
  ];

  meta = with lib; {
    description = "Accelerated deep learning R&D";
    homepage = "https://github.com/catalyst-team/catalyst";
    maintainers = [ ];
  };
}

{ lib
, buildPythonPackage
, fetchPypi
, pytest
}:

buildPythonPackage rec {
  pname = "hydra-slayer";
  version = "0.4.0";

  src = fetchPypi {
    inherit pname version;
    sha256 = "sha256-Ln7wuZ5eEVBNgJlvaJ7V7Xrodm7bjna2kzswaWYVlgQ=";
  };

  checkInputs = [
    pytest
  ];

  meta = with lib; {
    description = "PyTorch library for configuring complex applications";
    homepage = "https://github.com/catalyst-team/hydra-slayer";
  };
}

EDIT: P.S. Consider bumping to tensorboardX<2.5.0>=2.1.0 if there's no breaking changes.

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