Hi, thanks for your interesting project. When installing the package to reproduce the training result, I meet an error:
/tmp/pip-build-env-5nfkk1gy/overlay/lib/python3.7/site-packages/setuptools/command/build_py.py:201: _Warning: Package 'pyreadr.libs.lzma.lzma' is absent from the `packages` configuration.
!!
********************************************************************************
############################
# Package would be ignored #
############################
Python recognizes 'pyreadr.libs.lzma.lzma' as an importable package[^1],
but it is absent from setuptools' `packages` configuration.
This leads to an ambiguous overall configuration. If you want to distribute this
package, please make sure that 'pyreadr.libs.lzma.lzma' is explicitly added
to the `packages` configuration field.
Alternatively, you can also rely on setuptools' discovery methods
(for example by using `find_namespace_packages(...)`/`find_namespace:`
instead of `find_packages(...)`/`find:`).
You can read more about "package discovery" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/package_discovery.html
If you don't want 'pyreadr.libs.lzma.lzma' to be distributed and are
already explicitly excluding 'pyreadr.libs.lzma.lzma' via
`find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
you can try to use `exclude_package_data`, or `include-package-data=False` in
combination with a more fine grained `package-data` configuration.
You can read more about "package data files" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/datafiles.html
[^1]: For Python, any directory (with suitable naming) can be imported,
even if it does not contain any `.py` files.
On the other hand, currently there is no concept of package data
directory, all directories are treated like packages.
********************************************************************************
!!
check.warn(importable)
/tmp/pip-build-env-5nfkk1gy/overlay/lib/python3.7/site-packages/setuptools/command/build_py.py:201: _Warning: Package 'pyreadr.libs.zlib' is absent from the `packages` configuration.
!!
********************************************************************************
############################
# Package would be ignored #
############################
Python recognizes 'pyreadr.libs.zlib' as an importable package[^1],
but it is absent from setuptools' `packages` configuration.
This leads to an ambiguous overall configuration. If you want to distribute this
package, please make sure that 'pyreadr.libs.zlib' is explicitly added
to the `packages` configuration field.
Alternatively, you can also rely on setuptools' discovery methods
(for example by using `find_namespace_packages(...)`/`find_namespace:`
instead of `find_packages(...)`/`find:`).
You can read more about "package discovery" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/package_discovery.html
If you don't want 'pyreadr.libs.zlib' to be distributed and are
already explicitly excluding 'pyreadr.libs.zlib' via
`find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
you can try to use `exclude_package_data`, or `include-package-data=False` in
combination with a more fine grained `package-data` configuration.
You can read more about "package data files" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/datafiles.html
[^1]: For Python, any directory (with suitable naming) can be imported,
even if it does not contain any `.py` files.
On the other hand, currently there is no concept of package data
directory, all directories are treated like packages.
********************************************************************************
!!
check.warn(importable)
error: command '/usr/bin/gcc' failed with exit code 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for pyreadr
ERROR: Could not build wheels for pyreadr, which is required to install pyproject.toml-based projects
It seems that the current conda.yml file is not enough. Would you please provide more information? Thanks.
Also, I wonder if it is possible to directly use the example data to reproduce the baseline models, like plink, which accepts different types of data as inputs.
Hi, thanks for your interesting project. When installing the package to reproduce the training result, I meet an error:
It seems that the current conda.yml file is not enough. Would you please provide more information? Thanks.