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pip 从 requirements.txt 安装文件时出错

[英]Error when pip installing files from requirements.txt

 原文  2019-11-08 13:43:30  1   1    python/ numpy/ flask/ scipy

问题描述

I cloned a repo from github for research purposes, and I'm trying to install some of the requirements from the requirements.txt file.我从 github 克隆了一个 repo 用于研究目的，我正在尝试从 requirements.txt 文件中安装一些要求。 The installation ran just fine on Windows, but I've been having errors when installing on Ubuntu 18.04安装在 Windows 上运行良好，但在 Ubuntu 18.04 上安装时出现错误

I'm installing it in a conda created virtual env.我将它安装在 conda 创建的虚拟环境中。 And I'm using Python 3.8.我正在使用 Python 3.8。 Below is the error traceback.以下是错误回溯。

Collecting flask
  Using cached https://files.pythonhosted.org/packages/9b/93/628509b8d5dc749656a9641f4caf13540e2cdec85276964ff8f43bbb1d3b/Flask-1.1.1-py2.py3-none-any.whl
Collecting mysqlclient
  Using cached https://files.pythonhosted.org/packages/f8/9b/5db9a03e2088a87c26e3e4d4c7f7e8f4c2dbae610f9521cdfac15755a795/mysqlclient-1.4.5.tar.gz
Collecting sklearn
  Downloading https://files.pythonhosted.org/packages/1e/7a/dbb3be0ce9bd5c8b7e3d87328e79063f8b263b2b1bfa4774cb1147bfcd3f/sklearn-0.0.tar.gz
Collecting numpy
  Downloading https://files.pythonhosted.org/packages/3a/8f/f9ee25c0ae608f86180c26a1e35fe7ea9d71b473ea7f54db20759ba2745e/numpy-1.17.3-cp38-cp38-manylinux1_x86_64.whl (20.5MB)
     |████████████████████████████████| 20.5MB 153kB/s 
Collecting scipy
  Downloading https://files.pythonhosted.org/packages/ee/5b/5afcd1c46f97b3c2ac3489dbc95d6ca28eacf8e3634e51f495da68d97f0f/scipy-1.3.1.tar.gz (23.6MB)
     |████████████████████████████████| 23.6MB 82kB/s 
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
    Preparing wheel metadata ... error
    ERROR: Command errored out with exit status 1:
     command: /home/agozie/miniconda3/envs/facial/bin/python /home/agozie/miniconda3/envs/facial/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py prepare_metadata_for_build_wheel /tmp/tmpolyoz9vt
         cwd: /tmp/pip-install-sw1gf9a3/scipy
    Complete output (153 lines):
    lapack_opt_info:
    lapack_mkl_info:
    customize UnixCCompiler
      libraries mkl_rt not found in ['/home/agozie/miniconda3/envs/facial/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE

    openblas_lapack_info:
    customize UnixCCompiler
    customize UnixCCompiler
      libraries openblas not found in ['/home/agozie/miniconda3/envs/facial/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE

    openblas_clapack_info:
    customize UnixCCompiler
    customize UnixCCompiler
      libraries openblas,lapack not found in ['/home/agozie/miniconda3/envs/facial/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE

    atlas_3_10_threads_info:
    Setting PTATLAS=ATLAS
    customize UnixCCompiler
      libraries tatlas,tatlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries tatlas,tatlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries tatlas,tatlas not found in /usr/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib
    customize UnixCCompiler
      libraries tatlas,tatlas not found in /usr/lib/x86_64-linux-gnu
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
    <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
      NOT AVAILABLE

    atlas_3_10_info:
    customize UnixCCompiler
      libraries satlas,satlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries satlas,satlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries satlas,satlas not found in /usr/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib
    customize UnixCCompiler
      libraries satlas,satlas not found in /usr/lib/x86_64-linux-gnu
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
    <class 'numpy.distutils.system_info.atlas_3_10_info'>
      NOT AVAILABLE

    atlas_threads_info:
    Setting PTATLAS=ATLAS
    customize UnixCCompiler
      libraries ptf77blas,ptcblas,atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries ptf77blas,ptcblas,atlas not found in /usr/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib
    customize UnixCCompiler
      libraries ptf77blas,ptcblas,atlas not found in /usr/lib/x86_64-linux-gnu
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
    <class 'numpy.distutils.system_info.atlas_threads_info'>
      NOT AVAILABLE

    atlas_info:
    customize UnixCCompiler
      libraries f77blas,cblas,atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /home/agozie/miniconda3/envs/facial/lib
    customize UnixCCompiler
      libraries f77blas,cblas,atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/local/lib
    customize UnixCCompiler
      libraries f77blas,cblas,atlas not found in /usr/lib
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib
    customize UnixCCompiler
      libraries f77blas,cblas,atlas not found in /usr/lib/x86_64-linux-gnu
    customize UnixCCompiler
      libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
    <class 'numpy.distutils.system_info.atlas_info'>
      NOT AVAILABLE

    lapack_info:
    customize UnixCCompiler
      libraries lapack not found in ['/home/agozie/miniconda3/envs/facial/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE

    lapack_src_info:
      NOT AVAILABLE

      NOT AVAILABLE

    setup.py:386: UserWarning: Unrecognized setuptools command ('dist_info --egg-base /tmp/pip-modern-metadata-l1gkp34t'), proceeding with generating Cython sources and expanding templates
      warnings.warn("Unrecognized setuptools command ('{}'), proceeding with "
    Running from scipy source directory.
    /tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/numpy/distutils/system_info.py:624: UserWarning:
        Atlas (http://math-atlas.sourceforge.net/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [atlas]) or by setting
        the ATLAS environment variable.
      self.calc_info()
    /tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/numpy/distutils/system_info.py:624: UserWarning:
        Lapack (http://www.netlib.org/lapack/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [lapack]) or by setting
        the LAPACK environment variable.
      self.calc_info()
    /tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/numpy/distutils/system_info.py:624: UserWarning:
        Lapack (http://www.netlib.org/lapack/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [lapack_src]) or by setting
        the LAPACK_SRC environment variable.
      self.calc_info()
    Traceback (most recent call last):
      File "/home/agozie/miniconda3/envs/facial/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py", line 257, in <module>
        main()
      File "/home/agozie/miniconda3/envs/facial/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py", line 240, in main
        json_out['return_val'] = hook(**hook_input['kwargs'])
      File "/home/agozie/miniconda3/envs/facial/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py", line 110, in prepare_metadata_for_build_wheel
        return hook(metadata_directory, config_settings)
      File "/tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 156, in prepare_metadata_for_build_wheel
        self.run_setup()
      File "/tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 236, in run_setup
        super(_BuildMetaLegacyBackend,
      File "/tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 142, in run_setup
        exec(compile(code, __file__, 'exec'), locals())
      File "setup.py", line 505, in <module>
        setup_package()
      File "setup.py", line 501, in setup_package
        setup(**metadata)
      File "/tmp/pip-build-env-ikhv85cu/overlay/lib/python3.8/site-packages/numpy/distutils/core.py", line 135, in setup
        config = configuration()
      File "setup.py", line 403, in configuration
        raise NotFoundError(msg)
    numpy.distutils.system_info.NotFoundError: No lapack/blas resources found.
    ----------------------------------------
ERROR: Command errored out with exit status 1: /home/agozie/miniconda3/envs/facial/bin/python /home/agozie/miniconda3/envs/facial/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py prepare_metadata_for_build_wheel /tmp/tmpolyoz9vt Check the logs for full command output.

And below is the requirements.txt file下面是 requirements.txt 文件

mysqlclient
sklearn
numpy
scipy
pillow
dlib
face_recognition
flask_bootstrap
pytz
xlsxwriter
pandas
flask_mail
tensorflow
xlrd

I think it has something to do with the OS, but I can't be sure about that.我认为这与操作系统有关，但我不能确定。 If anyone can help, I'd be most grateful.如果有人可以提供帮助，我将不胜感激。

Edit: I tried installing scipy first using conda install scipy and I got the following output编辑：我尝试首先使用 conda install scipy 安装 scipy 并得到以下 output

Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: - 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abor\ 
Examining certifi:  16%|███▍                  | 5/32 [08:11<1:13:42, 163.79s/it]
Comparing s/ cs that have this dependency:   0%|          | 0/2 [00:00<?, ?it/s]
Finding shortest conflict path for certifi[version='>=2016.09']:   0%| | 0/4 [00Finding- hortest conflict path for ca-certificates:  25%|▎| 1/4 [08:43<26:09, 52Finding shortest conflict path for ca-certificates:  50%|▌| 2/4 [08:43<08:43, 26/ nding shortest conflict path for certifi:  50%|▌| 2/4 [09:05<08:43, 261.61s/itFinding shortest conflict path for certifi:  75%|▊| 3/4 [09:05<03:09, 189.68s/itFinding shortest confl| t path for certifi[version='>=2016.9.26']:  75%|▊| 3/4 [Finding shortest conflict path for certifi[version='>=2016.9.26']: 100%|█| 4/4 [Comparing specs that have this dependency:  50%|▌| 1/2 [25:37<25:37, 1537.78s/it]                       
Finding shortest conflict path for certifi[version='>=2016.09']:   0%| | 0/3 [00Finding shortest conf/ ct path for ca-certificates:  33%|▎| 1/3 [00:00<00:00, 32Finding shortest conflict path for certifi[version='>=2016.9.26']:  67%|▋| 2/3 [Examining python:  47%|███████████▎            | 15/32 [41:46<51:46, 182.75s// ]Comparing specs- hat have this dependency:   0%|          | 0/2 [00:00<?, ?it/s]
Finding shortes- conflict path for python[version='>=3.7,<3.8.0a0']:   0%| | 0/5Finding shortest conflict path for python=3.8:  20%|▏| 1/5 [00:00<00:00, 10.88itFinding shortest conflict path for python[version='>=3.6,<3.7.0a0']:  40%|▍| 2/5Finding shortest conflic| path for python[version='>=3.6,<3.7.0a0']:  60%|▌| 3/5Finding shortest conflict path for python[version='>=3.5,<3.6.0a0']:  60%|▌| 3/5Finding shortest conflic- path for python[version='>=2.7,<2.8.0a0']:  80%|▊| 4/5Finding shortest conflict path for python[version='>=2.7,<2.8.0a0']: 100%|█| 5/5Comparing specs that have this dependency:  50%|▌| 1/2 [05:30<05:30, 330.15s/it]Finding shortest conflict path for python[version='>=3.8,<3.9.0a0']:   0%| | 0/2failed                                                                                                                                                          UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - scipy -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0']

Your python: python=3.8

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with each other:



Package certifi conflicts for:
scipy -> python[version='>=3.7,<3.8.0a0'] -> pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
python=3.8 -> pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
Package setuptools conflicts for:
python=3.8 -> pip -> setuptools
scipy -> python[version='>=3.7,<3.8.0a0'] -> pip -> setuptools
Package pip conflicts for:
python=3.8 -> pip
scipy -> python[version='>=3.7,<3.8.0a0'] -> pip
Package ca-certificates conflicts for:
scipy -> python[version='>=3.7,<3.8.0a0'] -> ca-certificates
python=3.8 -> openssl[version='>=1.1.1d,<1.1.2a'] -> ca-certificates
Package wheel conflicts for:
scipy -> python[version='>=3.7,<3.8.0a0'] -> pip -> wheel
python=3.8 -> pip -> wheel

1 个解决方案

解决方案1
 1 已采纳  2019-11-08 14:03:33

It looks like you errored out installing SciPy, which it seems does not have a binary wheel on PyPI for your platform (which is surprising because there are many wheels for SciPy 1.3.1.看起来您错误地安装了 SciPy，它似乎在您的平台上的 PyPI 上没有二进制轮（这令人惊讶，因为 SciPy 1.3.1 有很多轮子。

However, since you're already using conda, you should start by installing as many dependencies through the appropriate conda packages using conda install .但是，由于您已经在使用 conda，您应该首先使用conda install通过适当的conda包安装尽可能多的依赖项。 In particular complex packages like NumPy and SciPy have already been expertly packaged for conda, similarly for packages like tensorflow and pandas. In particular complex packages like NumPy and SciPy have already been expertly packaged for conda, similarly for packages like tensorflow and pandas.

Although not made obvious in the docs , conda-install can read a basic requirements.txt file.虽然在文档中没有明确说明，但conda-install可以读取基本的requirements.txt文件。 I tried passing the above requirements.txt like我尝试通过上述requirements.txt像

conda install --file requirements.txt

but a few of the packages either were not in any of my default conda channels , or might have a different name (eg for "sklearn" the conda package is "scikit-learn").但是其中一些软件包要么不在我的任何默认conda 频道中，要么可能有不同的名称（例如，对于“sklearn”，conda package 是“scikit-learn”）。 Specifically:具体来说：

PackagesNotFoundError: The following packages are not available from current channels:

  - face_recognition
  - flask_bootstrap
  - flask_mail
  - sklearn

Some of your dependencies might not have any conda package at all for them.您的某些依赖项可能根本没有任何 conda package 。

I think the best thing to do is install as many dependencies through conda as possible, then use conda env export to create an environment.yml file.我认为最好的做法是通过conda安装尽可能多的依赖项，然后使用conda env export创建一个environment.yml文件。

Then, when setting up a development environment, first install packages from the environment.yml , then run pip install -r requirements.txt .然后，在设置开发环境时，首先从environment.yml安装包，然后运行pip install -r requirements.txt 。 The latter should ignore any requirements already satisfied by conda, and just install additional packages that might not already be managed by conda, such as "flask-bootstrap".后者应该忽略 conda 已经满足的任何要求，只安装可能尚未由 conda 管理的附加包，例如“flask-bootstrap”。

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