調査目的でgithubからリポジトリのクローンを作成し、requirements.txtファイルからいくつかの要件をインストールしようとしています。インストールはWindowsで問題なく実行されましたが、Ubuntu18.04にインストールするとエラーが発生します
condaで作成された仮想環境にインストールしています。そして、私はPython3.8を使用しています。以下はエラーのトレースバックです。
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.
そして以下はrequirements.txtファイルです
mysqlclient
sklearn
numpy
scipy
pillow
dlib
face_recognition
flask_bootstrap
pytz
xlsxwriter
pandas
flask_mail
tensorflow
xlrd
OSと関係があると思いますが、よくわかりません。誰かが助けてくれるなら、私は最も感謝するでしょう。
編集：最初にconda install scipyを使用してscipyをインストールしようとしましたが、次の出力が得られました
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
プラットフォームのPyPIにバイナリホイールがないように見えるSciPyのインストールをエラーにしたようです（SciPy 1.3.1には多くのホイールがあるため、これは驚くべきことです。
ただし、すでにcondaを使用しているため、conda installを使用して、適切なcondaパッケージを介してできるだけ多くの依存関係をインストールすることから始める必要があります。特に、NumPyやSciPyのような複雑なパッケージは、tensorflowやpandasのようなパッケージと同様に、すでにconda用に専門的にパッケージ化されています。
ドキュメントでconda-install は明らかにされていませんが、基本的なrequirements.txtファイルを読み取ることができます。上記のrequirements.txtように渡してみました
conda install --file requirements.txt
しかし、いくつかのパッケージは、私のデフォルトのcondaチャネルのいずれにも含まれていないか、名前が異なる可能性があります（たとえば、「sklearn」の場合、condaパッケージは「scikit-learn」です）。具体的には：
PackagesNotFoundError: The following packages are not available from current channels:
- face_recognition
- flask_bootstrap
- flask_mail
- sklearn
一部の依存関係には、condaパッケージがまったく含まれていない場合があります。
最善の方法は、condaを介してできるだけ多くの依存関係をインストールしてconda env exportから、を使用してenvironment.ymlファイルを作成することだと思います。
次に、開発環境をセットアップするときに、最初にからパッケージをインストールしてからenvironment.yml、を実行しpip install -r requirements.txtます。後者は、condaによってすでに満たされている要件を無視し、「flask-bootstrap」など、condaによってまだ管理されていない可能性のある追加のパッケージをインストールするだけです。
この記事はインターネットから収集されたものであり、転載の際にはソースを示してください。
侵害の場合は、連絡してください[email protected]
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