weditor安装时提示This is an issue with the package mentioned above, not pip.解决方法

这篇博客介绍了如何处理Python包安装时遇到的metadata-generation-failed错误和ReadTimeoutError。建议尝试降低安装版本,例如将weditor降至0.6.4,或者增加pip的默认超时时间来避免安装超时。此外,提供了访问PyPI官网查找兼容版本的建议。
部署运行你感兴趣的模型镜像

报错如下:

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

 解决方法:

降低安装版本:pip install weditor==0.6.4

降低到哪个版本可以参考安装时失败的安装版本的上一个;

或者可以访问官网自己查看:weditor · PyPI 

若安装超时:

pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.

命令行超时安装语句:pip --default-timeout=1000 install -U 模块名

eg:pip --default-timeout=1000 install -U uiautomator2

您可能感兴趣的与本文相关的镜像

Wan2.2-T2V-A5B

Wan2.2-T2V-A5B

文生视频
Wan2.2

Wan2.2是由通义万相开源高效文本到视频生成模型,是有​50亿参数的轻量级视频生成模型,专为快速内容创作优化。支持480P视频生成,具备优秀的时序连贯性和运动推理能力

Collecting sklearn Using cached sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [15 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details. (rl4) PS C:\Users\FZP> pip install sklearn Collecting sklearn Using cached sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [15 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details. (rl4) PS C:\Users\FZP> pip install sklearn Collecting sklearn Using cached sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [15 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.
最新发布
09-23
Getting requirements to build wheel ... done Installing backend dependencies ... done Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error × Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [30 lines of output] C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\util.py:75: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources Error parsing Traceback (most recent call last): File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\core.py", line 105, in pbr attrs = util.cfg_to_args(path, dist.script_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\util.py", line 272, in cfg_to_args pbr.hooks.setup_hook(config) File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\hooks\__init__.py", line 25, in setup_hook metadata_config.run() File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\hooks\base.py", line 27, in run self.hook() File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\hooks\metadata.py", line 25, in hook self.config['version'] = packaging.get_version( ^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\packaging.py", line 854, in get_version version = _get_version_from_pkg_metadata(package_name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\26289\AppData\Local\Temp\pip-build-env-_uaj_44a\normal\Lib\site-packages\pbr\packaging.py", line 822, in _get_version_from_pkg_metadata pkg_metadata = email.message_from_file(pkg_metadata_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\toos\python\Lib\email\__init__.py", line 53, in message_from_file return Parser(*args, **kws).parse(fp) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\toos\python\Lib\email\parser.py", line 52, in parse while data := fp.read(8192): ^^^^^^^^^^^^^ UnicodeDecodeError: 'gbk' codec can't decode byte 0xad in position 795: illegal multibyte sequence error in setup command: Error parsing C:\Users\26289\AppData\Local\Temp\pip-install-yrpn9_um\weditor\setup.cfg: UnicodeDecodeError: 'gbk' codec can't decode byte 0xad in position 795: illegal multibyte sequence [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. [notice] A new release of pip is available: 25.0.1 -> 25.1.1 [notice] To update, run: python.exe -m pip install --upgrade pip error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> weditor note: This is an issue with the package mentioned above, not pip. hint: See above for details.
06-29
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值