Preparing metadata setup py error

Preparing metadata error pip Reading time В· 5 min Preparing metadata (pyproject.toml) did not run successfully # To solve the «Preparing metadata (pyproject.toml) did not run successfully» error: Make sure your Python version is supported by the package. Upgrade your versions of pip , setuptools and wheel . Make sure you haven’t got any […]

Содержание

  1. Preparing metadata error pip
  2. Preparing metadata (pyproject.toml) did not run successfully #
  3. Try upgrading your versions of pip , setuptools and wheel #
  4. [Fixed] Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully
  5. How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?
  6. Solution 1 : Install PyQt5
  7. Solution 2 : Install turtle
  8. Conclusion
  9. Preparing metadata setup py error
  10. [Bug]: metadata-generation-failed #2199
  11. Comments
  12. Is there an existing issue for this?
  13. Current Behavior
  14. Expected Behavior
  15. Steps To Reproduce
  16. Anything else?

Reading time В· 5 min

To solve the «Preparing metadata (pyproject.toml) did not run successfully» error:

  1. Make sure your Python version is supported by the package.
  2. Upgrade your versions of pip , setuptools and wheel .
  3. Make sure you haven’t got any missing dependencies.
  4. Try running the pip install command with the —pre option.

If you got the error when trying to install PyQt5 on macOS:

  1. Run the brew install qt5 command to install qt5.
  2. Add the directory where qmake is located to your PATH environment variable.

First, try to upgrade your versions of pip , setuptools and wheel .

If that didn’t help, try running the pip install command with the —use-deprecated-legacy option.

The —use-deprecated option allows us to use the old resolver behavior when installing modules.

If the suggestions didn’t help, read toward the end of your error message.

It might contain information such as:

«RuntimeError: Cannot install on Python version 3.11.0; only versions >=3.7, requirements.txt file.

  • Install an older version of the package, e.g. pip install requests==2.28.0 .
  • Use a Python version that is supported by the package.
  • Your error message might also contain a missing package you have to install, e.g. «ModuleNotFoundError: No module named ‘X’» or «ImportError: cannot import name ‘X’».

    If that’s the case, you have to pip install the package from the error message before installing the other package.

    Another common cause of the error is misspelling the name of the package and trying to install some broken, obsolete module by mistake.

    If none of the suggestions helped, try running the pip install command with the —pre option.

    Источник

    [Fixed] Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully

    Today We are Going To Solve Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully in Python. Here we will Discuss All Possible Solutions and How this error Occurs So let’s get started with this Article.

    How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?

    1. How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?

    To Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error just Install PyQt5. You have to uninstall python and install the latest version of it and after it run the below command python -m pip install PyQt5

    Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully

    To Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error just Install turtle. To solve this error you have to install turtle and use-deprecated pip install turtle —use-deprecated=backtrack-on-build-failures

    Solution 1 : Install PyQt5

    You have to uninstall python and install the latest version of it and after it run the below command

    Solution 2 : Install turtle

    To solve this error you have to install turtle and use-deprecated

    Conclusion

    So these were all possible solutions to this error. I hope your error has been solved by this article. In the comments, tell us which solution worked? If you liked our article, please share it on your social media and comment on your suggestions. Thank you.

    Источник

    «Preparing metadata setup» возникает при разных обстоятельствах. Например, ошибка при установке пакета mysqlclient выглядит так:

    «# pip install mysqlclient Collecting mysqlclient Using cached mysqlclient-2.1.0.tar.gz (87 kB) Preparing metadata (setup.py) … error error: subprocess-exited-with-error».

    При установке модуля pycurl через pip иногда выдаёт данную ошибку: «Collecting pycurl
    Using cached pycurl-7.45.1.tar.gz (233 kB)
    Preparing metadata (setup.py) … error
    error: subprocess-exited-with-error».

    Также подоюные ошибки возникают при установке sixgill на голый Питон 3.10 или Pycharm Комьюнити версию.
    Или если установить блокнот jupyter, можно впервые увидеть ошибку такого типа, когда попытаетесь открыть блокнот jupyter из командной строки, несмотря на ошибку, он будет работать нормально.
    Но после начнутся сбои. Unroll показал тот же тип ошибки.

    «C:Userskumar > pip install unroll
    Collecting unroll
    Using cached unroll -0.1 .0 .tar.gz ( 7.3 kB)
    Preparing metadata (setup.py) . error
    error: subprocess — exited — with — error»

    Если вы видите, что команда python setup.py egg_info завершилась неудачно с кодом ошибки 1 при установке Python, возможно, инструмент установки на вашем компьютере не установлен или не обновлен. В этой статье мы исправим эту ошибку несколькими простыми решениями.

    Это то, что вам нужно сделать, чтобы исправить «Ошибка команды« python setup.py egg_info »с кодом ошибки 1» при установке Python. Обязательно следуйте инструкциям в указанном порядке.

    1. Проверьте, установлены ли PIP и Setuptools.
    2. Обновите PIP и инструменты настройки
    3. Установить ez_Setup

    попробуйте установить их с помощью такого инструмента, как Анаконда или ей подобного. Кроме того, в тексте присутствует предложение посмотреть логи на предмет точного сообщения об ошибке — сделайте это.

    Первое, что вам нужно проверить, это установить ли PIP и Setuptools. Это простая задача, и вам просто нужно выполнить команду. Запустите командную строку от имени администратора из Стартовое меню и выполните следующую команду.

    Если на вашем компьютере не установлены инструменты установки, установите его, выполнив следующую команду.

    вам нужно обновить как PIP, так и Setuptools и посмотреть, решит ли это проблему.

    Запустите командную строку от имени администратора.

    Чтобы обновить Setuptools, вам необходимо выполнить следующую команду.

    pip install –upgrade setuptools

    Чтобы обновить PIP, вам необходимо выполнить следующую команду.

    python -m pip install -U pip

    Сделав то же самое, вам нужно проверить, устранена ли проблема.

    Источник

    Is there an existing issue for this?

    • I have searched the existing issues

    Current Behavior

    I keep on trying to pip install mindsdb.

    This is the message that it comes up with.

    • Installing wheel
    • Upgrading pip
    • Installing sktime
    • googling/StackOverflow

    Expected Behavior

    I anticipated that I would be able to download the package.

    Steps To Reproduce

    Anything else?

    The text was updated successfully, but these errors were encountered:

    Hi @TyanBr how did you resolve this?

    I didn’t to be honest I just assumed it was something wrong with my computer though as I am relatively new to using Open source software.

    Can you please share the stacktrace log, just copy/paste it here, and we will check?

    Sure, here you go.

    C:UsersTyanb>pip install mindsdb
    Collecting mindsdb
    Downloading MindsDB-22.5.1.2.tar.gz (146 kB)
    —————————————- 146.2/146.2 KB 1.7 MB/s eta 0:00:00
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting lightwood>=22.5.1.0
    Downloading lightwood-22.5.1.0.tar.gz (180 kB)
    —————————————- 180.2/180.2 KB 3.6 MB/s eta 0:00:00
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting pymongo[srv,tls]>=3.10.1
    Using cached pymongo-4.1.1-cp39-cp39-win_amd64.whl (365 kB)
    Collecting flask =1.0
    Using cached Flask-1.1.4-py2.py3-none-any.whl (94 kB)
    Collecting psycopg[binary]>=1.15.3
    Using cached psycopg-3.0.13-py3-none-any.whl (142 kB)
    Collecting sentry-sdk
    Downloading sentry_sdk-1.5.12-py2.py3-none-any.whl (145 kB)
    —————————————- 145.3/145.3 KB 2.9 MB/s eta 0:00:00
    Collecting markupsafe==2.0.1
    Using cached MarkupSafe-2.0.1-cp39-cp39-win_amd64.whl (14 kB)
    Collecting waitress>=1.4.4
    Using cached waitress-2.1.1-py3-none-any.whl (57 kB)
    Collecting flask-compress>=1.0.0
    Using cached Flask_Compress-1.12-py3-none-any.whl (7.9 kB)
    Collecting mindsdb-sql =0.3.4
    Using cached mindsdb_sql-0.3.4-py3-none-any.whl (87 kB)
    Collecting mindsdb-streams==0.0.5
    Using cached mindsdb-streams-0.0.5.tar.gz (9.5 kB)
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting python-tds>=1.10.0
    Using cached python-tds-1.11.0.tar.gz (68 kB)
    Preparing metadata (setup.py) . done
    Requirement already satisfied: appdirs>=1.0.0 in c:userstyanbonedrivedocumentspythonlibsite-packages (from mindsdb) (1.4.4)
    Collecting walrus==0.8.2
    Using cached walrus-0.8.2.tar.gz (81 kB)
    Preparing metadata (setup.py) . done
    Collecting flask-restx>=0.2.0
    Using cached flask_restx-0.5.1-py2.py3-none-any.whl (5.3 MB)
    Collecting pyparsing==2.3.1
    Using cached pyparsing-2.3.1-py2.py3-none-any.whl (61 kB)
    Collecting cryptography =2.9.2
    Using cached cryptography-3.3.2-cp36-abi3-win_amd64.whl (1.5 MB)
    Collecting alembic>=1.3.3
    Using cached alembic-1.7.7-py3-none-any.whl (210 kB)
    Requirement already satisfied: setuptools in c:userstyanbonedrivedocumentspythonlibsite-packages (from mindsdb) (61.2.0)
    Collecting checksumdir>=1.2.0
    Using cached checksumdir-1.2.0-py3-none-any.whl (5.3 kB)
    Requirement already satisfied: requests>=2.0.0 in c:userstyanbonedrivedocumentspythonlibsite-packages (from mindsdb) (2.27.1)
    Collecting duckdb==0.3.1
    Using cached duckdb-0.3.1-cp39-cp39-win_amd64.whl (7.3 MB)
    Requirement already satisfied: sqlalchemy>=1.3.0 in c:userstyanbonedrivedocumentspythonlibsite-packages (from mindsdb) (1.4.32)
    Collecting psutil
    Using cached psutil-5.9.0-cp39-cp39-win_amd64.whl (245 kB)
    Collecting python-multipart>=0.0.5
    Using cached python-multipart-0.0.5.tar.gz (32 kB)
    Preparing metadata (setup.py) . done
    Collecting mindsdb-datasources =1.8.3
    Using cached mindsdb_datasources-1.8.3.tar.gz (25 kB)
    Preparing metadata (setup.py) . done
    Collecting kafka-python>=2.0.0
    Using cached kafka_python-2.0.2-py2.py3-none-any.whl (246 kB)
    Requirement already satisfied: numpy>=1.14 in c:userstyanbonedrivedocumentspythonlibsite-packages (from duckdb==0.3.1->mindsdb) (1.21.6)
    Requirement already satisfied: pandas>=1.1.5 in c:userstyanbonedrivedocumentspythonlibsite-packages (from mindsdb-streams==0.0.5->mindsdb) (1.4.1)
    Collecting urllib3==1.26.6
    Using cached urllib3-1.26.6-py2.py3-none-any.whl (138 kB)
    Collecting charset-normalizer==2.0.2
    Using cached charset_normalizer-2.0.2-py3-none-any.whl (35 kB)
    Collecting requests>=2.0.0
    Using cached requests-2.26.0-py2.py3-none-any.whl (62 kB)
    Collecting redis==3.5.3
    Using cached redis-3.5.3-py2.py3-none-any.whl (72 kB)
    Collecting certifi==2021.5.30
    Using cached certifi-2021.5.30-py2.py3-none-any.whl (145 kB)
    Collecting idna==3.2
    Using cached idna-3.2-py3-none-any.whl (59 kB)
    Collecting Mako
    Using cached Mako-1.2.0-py3-none-any.whl (78 kB)
    Requirement already satisfied: six>=1.4.1 in c:userstyanbonedrivedocumentspythonlibsite-packages (from cryptography =2.9.2->mindsdb) (1.16.0)
    Requirement already satisfied: cffi>=1.12 in c:userstyanbonedrivedocumentspythonlibsite-packages (from cryptography =2.9.2->mindsdb) (1.15.0)
    Collecting click =5.1
    Using cached click-7.1.2-py2.py3-none-any.whl (82 kB)
    Collecting itsdangerous =0.24
    Using cached itsdangerous-1.1.0-py2.py3-none-any.whl (16 kB)
    Collecting Jinja2 =2.10.1
    Using cached Jinja2-2.11.3-py2.py3-none-any.whl (125 kB)
    Collecting Werkzeug =0.15
    Using cached Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
    Collecting brotli
    Using cached Brotli-1.0.9-cp39-cp39-win_amd64.whl (383 kB)
    Collecting jsonschema
    Using cached jsonschema-4.5.1-py3-none-any.whl (72 kB)
    Requirement already satisfied: pytz in c:userstyanbonedrivedocumentspythonlibsite-packages (from flask-restx>=0.2.0->mindsdb) (2022.1)
    Collecting aniso8601>=0.82
    Using cached aniso8601-9.0.1-py2.py3-none-any.whl (52 kB)
    Collecting scipy =1.5.4
    Using cached scipy-1.7.1-cp39-cp39-win_amd64.whl (33.8 MB)
    Collecting python-dateutil =2.1
    Using cached python_dateutil-2.8.0-py2.py3-none-any.whl (226 kB)
    Collecting colorlog==6.5.0
    Using cached colorlog-6.5.0-py2.py3-none-any.whl (11 kB)
    Collecting NLTK =3
    Using cached nltk-3.5.zip (1.4 MB)
    Preparing metadata (setup.py) . done
    Requirement already satisfied: wheel>=0.32.2 in c:userstyanbonedrivedocumentspythonlibsite-packages (from lightwood>=22.5.1.0->mindsdb) (0.37.1)
    Collecting langdetect =1.0.0
    Using cached langdetect-1.0.9.tar.gz (981 kB)
    Preparing metadata (setup.py) . done
    Collecting pandas>=1.1.5
    Using cached pandas-1.3.3-cp39-cp39-win_amd64.whl (10.2 MB)
    Collecting torch-optimizer==0.1.0
    Using cached torch_optimizer-0.1.0-py3-none-any.whl (72 kB)
    Collecting transformers =4.5.0
    Using cached transformers-4.11.3-py3-none-any.whl (2.9 MB)
    Collecting dataclasses-json>=0.5.4
    Using cached dataclasses_json-0.5.7-py3-none-any.whl (25 kB)
    Collecting optuna =2.8.0
    Using cached optuna-2.9.1-py3-none-any.whl (302 kB)
    Collecting sktime =0.5.0
    Using cached sktime-0.8.0.tar.gz (9.7 MB)
    Preparing metadata (setup.py) . error
    error: subprocess-exited-with-error

    × python setup.py egg_info did not run successfully.
    │ exit code: 1
    ╰─> [16 lines of output]
    c:userstyanbonedrivedocumentspythonlibsite-packagessetuptoolsdist.py:757: UserWarning: Usage of dash-separated ‘description-file’ will not be supported in future versions. Please use the underscore name ‘description_file’ instead
    warnings.warn(
    error: Multiple top-level packages discovered in a flat-layout: [‘sktime’, ‘build_tools’, ‘extension_templates’].

    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.

    Running into the same error, anyone found a solution?

    same error, help

    are we all using the latest version of python? likely purely coincidental but neverhad this problem before using the current version of python

    I upgraded from 3.9.5 to the latest version of 3.10.5. Errors still occur seems to be roughly the same error but this time it occurs with Scipy.

    I have added the Stacktrace log below:

    C:UsersTyanb>pip install mindsdb
    Collecting mindsdb
    Using cached MindsDB-22.6.2.1.tar.gz (150 kB)
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting lightwood =22.6.1.2
    Using cached lightwood-22.6.1.2.tar.gz (182 kB)
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting sqlalchemy>=1.3.0
    Downloading SQLAlchemy-1.4.37-cp310-cp310-win_amd64.whl (1.6 MB)
    —————————————- 1.6/1.6 MB 3.4 MB/s eta 0:00:00
    Collecting python-tds>=1.10.0
    Using cached python-tds-1.11.0.tar.gz (68 kB)
    Preparing metadata (setup.py) . done
    Collecting checksumdir>=1.2.0
    Using cached checksumdir-1.2.0-py3-none-any.whl (5.3 kB)
    Collecting flask-restx>=0.2.0
    Using cached flask_restx-0.5.1-py2.py3-none-any.whl (5.3 MB)
    Collecting flask =1.0
    Using cached Flask-1.1.4-py2.py3-none-any.whl (94 kB)
    Collecting pymongo[srv,tls]>=3.10.1
    Downloading pymongo-4.1.1-cp310-cp310-win_amd64.whl (365 kB)
    —————————————- 365.3/365.3 KB 2.8 MB/s eta 0:00:00
    Collecting sentry-sdk
    Using cached sentry_sdk-1.5.12-py2.py3-none-any.whl (145 kB)
    Collecting alembic>=1.3.3
    Using cached alembic-1.8.0-py3-none-any.whl (209 kB)
    Requirement already satisfied: setuptools in c:userstyanbappdatalocalprogramspythonpython310libsite-packages (from mindsdb) (58.1.0)
    Collecting flask-compress>=1.0.0
    Using cached Flask_Compress-1.12-py3-none-any.whl (7.9 kB)
    Collecting mindsdb-sql =0.3.5
    Using cached mindsdb_sql-0.3.7-py3-none-any.whl (88 kB)
    Collecting kafka-python>=2.0.0
    Using cached kafka_python-2.0.2-py2.py3-none-any.whl (246 kB)
    Collecting walrus==0.8.2
    Using cached walrus-0.8.2.tar.gz (81 kB)
    Preparing metadata (setup.py) . done
    Collecting duckdb==0.3.1
    Downloading duckdb-0.3.1.tar.gz (8.8 MB)
    —————————————- 8.8/8.8 MB 3.9 MB/s eta 0:00:00
    Preparing metadata (setup.py) . done
    Collecting requests>=2.0.0
    Downloading requests-2.28.0-py3-none-any.whl (62 kB)
    —————————————- 62.8/62.8 KB 3.5 MB/s eta 0:00:00
    Collecting python-multipart>=0.0.5
    Using cached python-multipart-0.0.5.tar.gz (32 kB)
    Preparing metadata (setup.py) . done
    Collecting psutil
    Downloading psutil-5.9.1-cp310-cp310-win_amd64.whl (245 kB)
    —————————————- 245.8/245.8 KB 2.1 MB/s eta 0:00:00
    Collecting mindsdb-datasources =1.8.4
    Using cached mindsdb_datasources-1.8.4.tar.gz (25 kB)
    Preparing metadata (setup.py) . done
    Collecting psycopg[binary]>=1.15.3
    Using cached psycopg-3.0.14-py3-none-any.whl (143 kB)
    Collecting pyparsing==2.3.1
    Using cached pyparsing-2.3.1-py2.py3-none-any.whl (61 kB)
    Collecting mindsdb-streams==0.0.5
    Using cached mindsdb-streams-0.0.5.tar.gz (9.5 kB)
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . done
    Collecting cryptography =2.9.2
    Using cached cryptography-3.3.2-cp36-abi3-win_amd64.whl (1.5 MB)
    Collecting markupsafe==2.0.1
    Downloading MarkupSafe-2.0.1-cp310-cp310-win_amd64.whl (15 kB)
    Collecting waitress>=1.4.4
    Using cached waitress-2.1.2-py3-none-any.whl (57 kB)
    Collecting appdirs>=1.0.0
    Using cached appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
    Collecting numpy>=1.14
    Downloading numpy-1.22.4-cp310-cp310-win_amd64.whl (14.7 MB)
    —————————————- 14.7/14.7 MB 951.7 kB/s eta 0:00:00
    Collecting requests>=2.0.0
    Using cached requests-2.26.0-py2.py3-none-any.whl (62 kB)
    Collecting urllib3==1.26.6
    Using cached urllib3-1.26.6-py2.py3-none-any.whl (138 kB)
    Collecting pandas>=1.1.5
    Downloading pandas-1.4.2-cp310-cp310-win_amd64.whl (10.6 MB)
    —————————————- 10.6/10.6 MB 1.9 MB/s eta 0:00:00
    Collecting redis==3.5.3
    Using cached redis-3.5.3-py2.py3-none-any.whl (72 kB)
    Collecting certifi==2021.5.30
    Using cached certifi-2021.5.30-py2.py3-none-any.whl (145 kB)
    Collecting charset-normalizer==2.0.2
    Using cached charset_normalizer-2.0.2-py3-none-any.whl (35 kB)
    Collecting idna==3.2
    Using cached idna-3.2-py3-none-any.whl (59 kB)
    Collecting Mako
    Using cached Mako-1.2.0-py3-none-any.whl (78 kB)
    Collecting six>=1.4.1
    Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
    Collecting cffi>=1.12
    Downloading cffi-1.15.0-cp310-cp310-win_amd64.whl (180 kB)
    —————————————- 180.3/180.3 KB 1.6 MB/s eta 0:00:00
    Collecting click =5.1
    Using cached click-7.1.2-py2.py3-none-any.whl (82 kB)
    Collecting itsdangerous =0.24
    Using cached itsdangerous-1.1.0-py2.py3-none-any.whl (16 kB)
    Collecting Jinja2 =2.10.1
    Using cached Jinja2-2.11.3-py2.py3-none-any.whl (125 kB)
    Collecting Werkzeug =0.15
    Using cached Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
    Collecting brotli
    Downloading Brotli-1.0.9-cp310-cp310-win_amd64.whl (383 kB)
    —————————————- 383.3/383.3 KB 994.9 kB/s eta 0:00:00
    Collecting aniso8601>=0.82
    Using cached aniso8601-9.0.1-py2.py3-none-any.whl (52 kB)
    Collecting pytz
    Using cached pytz-2022.1-py2.py3-none-any.whl (503 kB)
    Collecting jsonschema
    Using cached jsonschema-4.6.0-py3-none-any.whl (80 kB)
    Collecting scipy =1.5.4
    Downloading scipy-1.6.1.tar.gz (27.3 MB)
    —————————————- 27.3/27.3 MB 1.4 MB/s eta 0:00:00
    Installing build dependencies . done
    Getting requirements to build wheel . done
    Preparing metadata (pyproject.toml) . error
    error: subprocess-exited-with-error

    × Preparing metadata (pyproject.toml) did not run successfully.
    │ exit code: 1
    ╰─> [130 lines of output]
    setup.py:461: UserWarning: Unrecognized setuptools command (‘dist_info —egg-base C:UsersTyanbAppDataLocalTemppip-modern-metadata-f0ssrpuh’), proceeding with generating Cython sources and expanding templates
    warnings.warn(«Unrecognized setuptools command (‘<>‘), proceeding with »
    Running from SciPy source directory.
    INFO: lapack_opt_info:
    INFO: lapack_armpl_info:
    INFO: No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
    INFO: customize MSVCCompiler
    INFO: libraries armpl_lp64_mp not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: NOT AVAILABLE
    INFO:
    INFO: lapack_mkl_info:
    INFO: libraries mkl_rt not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: NOT AVAILABLE
    INFO:
    INFO: openblas_lapack_info:
    INFO: libraries openblas not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: get_default_fcompiler: matching types: ‘[‘gnu’, ‘intelv’, ‘absoft’, ‘compaqv’, ‘intelev’, ‘gnu95’, ‘g95’, ‘intelvem’, ‘intelem’, ‘flang’]’
    INFO: customize GnuFCompiler
    WARN: Could not locate executable g77
    WARN: Could not locate executable f77
    INFO: customize IntelVisualFCompiler
    WARN: Could not locate executable ifort
    WARN: Could not locate executable ifl
    INFO: customize AbsoftFCompiler
    WARN: Could not locate executable f90
    INFO: customize CompaqVisualFCompiler
    WARN: Could not locate executable DF
    INFO: customize IntelItaniumVisualFCompiler
    WARN: Could not locate executable efl
    INFO: customize Gnu95FCompiler
    WARN: Could not locate executable gfortran
    WARN: Could not locate executable f95
    INFO: customize G95FCompiler
    WARN: Could not locate executable g95
    INFO: customize IntelEM64VisualFCompiler
    INFO: customize IntelEM64TFCompiler
    WARN: Could not locate executable efort
    WARN: Could not locate executable efc
    INFO: customize PGroupFlangCompiler
    WARN: Could not locate executable flang
    WARN: don’t know how to compile Fortran code on platform ‘nt’
    INFO: NOT AVAILABLE
    INFO:
    INFO: openblas_clapack_info:
    INFO: libraries openblas,lapack not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: NOT AVAILABLE
    INFO:
    INFO: flame_info:
    INFO: libraries flame not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: NOT AVAILABLE
    INFO:
    INFO: accelerate_info:
    INFO: NOT AVAILABLE
    INFO:
    INFO: atlas_3_10_threads_info:
    INFO: Setting PTATLAS=ATLAS
    INFO: libraries tatlas,tatlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310lib
    INFO: libraries tatlas,tatlas not found in C:
    INFO: libraries tatlas,tatlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310libs
    INFO:
    INFO: NOT AVAILABLE
    INFO:
    INFO: atlas_3_10_info:
    INFO: libraries satlas,satlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310lib
    INFO: libraries satlas,satlas not found in C:
    INFO: libraries satlas,satlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310libs
    INFO:
    INFO: NOT AVAILABLE
    INFO:
    INFO: atlas_threads_info:
    INFO: Setting PTATLAS=ATLAS
    INFO: libraries ptf77blas,ptcblas,atlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310lib
    INFO: libraries ptf77blas,ptcblas,atlas not found in C:
    INFO: libraries ptf77blas,ptcblas,atlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310libs
    INFO:
    INFO: NOT AVAILABLE
    INFO:
    INFO: atlas_info:
    INFO: libraries f77blas,cblas,atlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310lib
    INFO: libraries f77blas,cblas,atlas not found in C:
    INFO: libraries f77blas,cblas,atlas not found in C:UsersTyanbAppDataLocalProgramsPythonPython310libs
    INFO:
    INFO: NOT AVAILABLE
    INFO:
    INFO: lapack_info:
    INFO: libraries lapack not found in [‘C:UsersTyanbAppDataLocalProgramsPythonPython310lib’, ‘C:’, ‘C:UsersTyanbAppDataLocalProgramsPythonPython310libs’]
    INFO: NOT AVAILABLE
    INFO:
    C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagesnumpydistutilssystem_info.py:1902: 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.
    return getattr(self, ‘calc_info<>‘.format(name))()
    INFO: lapack_src_info:
    INFO: NOT AVAILABLE
    INFO:
    C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagesnumpydistutilssystem_info.py:1902: 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.
    return getattr(self, ‘calc_info<>‘.format(name))()
    INFO: NOT AVAILABLE
    INFO:
    Traceback (most recent call last):
    File «C:UsersTyanbAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py», line 363, in
    main()
    File «C:UsersTyanbAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py», line 345, in main
    json_out[‘return_val’] = hook(**hook_input[‘kwargs’])
    File «C:UsersTyanbAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py», line 164, in prepare_metadata_for_build_wheel
    return hook(metadata_directory, config_settings)
    File «C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagessetuptoolsbuild_meta.py», line 161, in prepare_metadata_for_build_wheel
    self.run_setup()
    File «C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagessetuptoolsbuild_meta.py», line 253, in run_setup
    super(_BuildMetaLegacyBackend,
    File «C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagessetuptoolsbuild_meta.py», line 145, in run_setup
    exec(compile(code, file, ‘exec’), locals())
    File «setup.py», line 588, in
    setup_package()
    File «setup.py», line 584, in setup_package
    setup(**metadata)
    File «C:UsersTyanbAppDataLocalTemppip-build-env-85vp7kzboverlayLibsite-packagesnumpydistutilscore.py», line 135, in setup
    config = configuration()
    File «setup.py», line 499, in configuration
    raise NotFoundError(msg)
    numpy.distutils.system_info.NotFoundError: No BLAS/LAPACK libraries found.
    To build Scipy from sources, BLAS & LAPACK libraries need to be installed.
    See site.cfg.example in the Scipy source directory and
    https://docs.scipy.org/doc/scipy/reference/building/index.html for details.
    [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.

    Источник

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    Closed

    CaffreyR opened this issue

    Mar 9, 2022

    · 12 comments

    Comments

    @CaffreyR

    Version:macOS 12.1 Apple m1 pro python 3.9
    I got this issue when I pip install netCDF4. I had already install hdf5 when I installed tensorflow for appleslicon. Thanks a lot.
    截屏2022-03-09 下午4 13 39

    @jswhit

    It’s trying to build from source instead of installing a pre-built binary — what platform are you on?

    To install from source, you need to have a C compiler installed, and the HDF5_DIR environment variable needs to point to the path where the HDF5 library was installed. You also need to have the netcdf-c library installed.

    @jswhit

    Sorry, I missed that you said you are using apple silicon. We have a binary (universal2) for python 3.10 that should work on M1. For some reason, pip is not using it -are you using python 3.10?
    We will soon be making a 1.6.0 release that should have M1 binaries for python 3.8,3.9 and 3.10.

    @CaffreyR

    emm so I just have to create a env where python == 3.10 and pip install the netCDF4?

    @CaffreyR

    Sorry, I missed that you said you are using apple silicon. We have a binary (universal2) for python 3.10 that should work on M1. For some reason, pip is not using it -are you using python 3.10? We will soon be making a 1.6.0 release that should have M1 binaries for python 3.8,3.9 and 3.10.

    emm so I just have to create a env where python == 3.10 and pip install the netCDF4?

    @jswhit

    The 3.10 universal2 wheel is broken (see #1148). A workaround to build from source that uses homebrew to provide the C lib dependencies is described in that issue.

    @jswhit

    You can also install via conda.

    @jswhit

    I think the issues with cross-compiling the C libs are now fixed. I’ve uploaded new arm64 wheels for version 1.5.8 to pypi. @CaffreyR — could you test and report back here whether they work?

    @CaffreyR

    I think the issues with cross-compiling the C libs are now fixed. I’ve uploaded new arm64 wheels for version 1.5.8 to pypi. @CaffreyR — could you test and report back here whether they work?
    Actually, there are something wrong here. See although I successfully install netCDF4, I can’t import it.

    image

    @CaffreyR

    And it seems it don’t work on both python 3.9 and 3.10 @jswhit
    image

    @jswhit

    @suchethu

    Version:macOS 12.1 Apple m1 pro python 3.9 I got this issue when I pip install netCDF4. I had already install hdf5 when I installed tensorflow for appleslicon. Thanks a lot. 截屏2022-03-09 下午4 13 39

    @zouyim

    image

    Preparing metadata (setup.py) . error #1157

    Comments

    Version:macOS 12.1 Apple m1 pro python 3.9
    I got this issue when I pip install netCDF4. I had already install hdf5 when I installed tensorflow for appleslicon. Thanks a lot.

    The text was updated successfully, but these errors were encountered:

    It’s trying to build from source instead of installing a pre-built binary — what platform are you on?

    To install from source, you need to have a C compiler installed, and the HDF5_DIR environment variable needs to point to the path where the HDF5 library was installed. You also need to have the netcdf-c library installed.

    Sorry, I missed that you said you are using apple silicon. We have a binary (universal2) for python 3.10 that should work on M1. For some reason, pip is not using it -are you using python 3.10?
    We will soon be making a 1.6.0 release that should have M1 binaries for python 3.8,3.9 and 3.10.

    emm so I just have to create a env where python == 3.10 and pip install the netCDF4?

    Sorry, I missed that you said you are using apple silicon. We have a binary (universal2) for python 3.10 that should work on M1. For some reason, pip is not using it -are you using python 3.10? We will soon be making a 1.6.0 release that should have M1 binaries for python 3.8,3.9 and 3.10.

    emm so I just have to create a env where python == 3.10 and pip install the netCDF4?

    The 3.10 universal2 wheel is broken (see #1148). A workaround to build from source that uses homebrew to provide the C lib dependencies is described in that issue.

    You can also install via conda.

    I think the issues with cross-compiling the C libs are now fixed. I’ve uploaded new arm64 wheels for version 1.5.8 to pypi. @CaffreyR — could you test and report back here whether they work?

    I think the issues with cross-compiling the C libs are now fixed. I’ve uploaded new arm64 wheels for version 1.5.8 to pypi. @CaffreyR — could you test and report back here whether they work?
    Actually, there are something wrong here. See although I successfully install netCDF4, I can’t import it.

    And it seems it don’t work on both python 3.9 and 3.10 @jswhit

    covered by issue #1158

    Version:macOS 12.1 Apple m1 pro python 3.9 I got this issue when I pip install netCDF4. I had already install hdf5 when I installed tensorflow for appleslicon. Thanks a lot.

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    Источник

    Preparing metadata setup py error

    Reading time В· 5 min

    Preparing metadata (pyproject.toml) did not run successfully #

    To solve the «Preparing metadata (pyproject.toml) did not run successfully» error:

    1. Make sure your Python version is supported by the package.
    2. Upgrade your versions of pip , setuptools and wheel .
    3. Make sure you haven’t got any missing dependencies.
    4. Try running the pip install command with the —pre option.

    If you got the error when trying to install PyQt5 on macOS:

    1. Run the brew install qt5 command to install qt5.
    2. Add the directory where qmake is located to your PATH environment variable.

    Try upgrading your versions of pip , setuptools and wheel #

    First, try to upgrade your versions of pip , setuptools and wheel .

    If that didn’t help, try running the pip install command with the —use-deprecated-legacy option.

    The —use-deprecated option allows us to use the old resolver behavior when installing modules.

    If the suggestions didn’t help, read toward the end of your error message.

    It might contain information such as:

    «RuntimeError: Cannot install on Python version 3.11.0; only versions >=3.7, requirements.txt file.

  • Install an older version of the package, e.g. pip install requests==2.28.0 .
  • Use a Python version that is supported by the package.
  • Your error message might also contain a missing package you have to install, e.g. «ModuleNotFoundError: No module named ‘X’» or «ImportError: cannot import name ‘X’».

    If that’s the case, you have to pip install the package from the error message before installing the other package.

    Another common cause of the error is misspelling the name of the package and trying to install some broken, obsolete module by mistake.

    If none of the suggestions helped, try running the pip install command with the —pre option.

    Источник

    Rijwan & Satya’s Blog

    Learn developer and data technologies with us

    AttributeError: module ‘mistune’ has no attribute ‘BlockGrammar’

    By Satya Karki

    I was installing some dependency requirements for my project on a Windows machine by running the below command.

    And I got the below error.

    Exact Error Message: “Preparing metadata (setup.py) … error

    error: subprocess-exited-with-error

    × python setup.py egg_info did not run successfully.

    │ exit code: 1

    ╰─> [8 lines of output]

    Traceback (most recent call last):

    File “ ”, line 2, in

    File “C:UsersrijsatAppDataLocalTemppip-install-zuk43gtqm2r_e56fc974548d456482c4df30a3e037e6setup.py”, line 14, in

    from m2r import parse_from_file

    File “C:UsersrijsatAppDataLocalTemppip-install-zuk43gtqm2r_e56fc974548d456482c4df30a3e037e6m2r.py”, line 59, in

    class RestBlockGrammar(mistune.BlockGrammar):

    AttributeError: module ‘mistune’ has no attribute ‘BlockGrammar’

    [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.”

    Solution

    Then I downgraded the mistune version as suggested here. You can run the below cmd to install the lower working version of the mistune. Once, I downgraded the mistune version, the error got resolved.

    I hope, it will be helpful for you, if you encounter the same error and issue.

    Источник

    Can’t install Deepspeed #2099

    Comments

    «, line 34, in File «C:UsersRGWyoAppDataLocalTemppip-install-pdq_etardeepspeed_5154de904eb44c55af7b10637df57bdasetup.py», line 152, in abort(f»Unable to pre-compile «) File «C:UsersRGWyoAppDataLocalTemppip-install-pdq_etardeepspeed_5154de904eb44c55af7b10637df57bdasetup.py», line 48, in abort assert False, msg AssertionError: Unable to pre-compile sparse_attn DS_BUILD_OPS=1 [WARNING] cpu_adam requires the ‘lscpu’ command, but it does not exist! [WARNING] cpu_adam attempted to query ‘lscpu’ after failing to use py-cpuinfo to detect the CPU architecture. ‘lscpu’ does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution. [WARNING] cpu_adam requires the ‘lscpu’ command, but it does not exist! [WARNING] cpu_adam attempted to query ‘lscpu’ after failing to use py-cpuinfo to detect the CPU architecture. ‘lscpu’ does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution. [WARNING] cpu_adagrad requires the ‘lscpu’ command, but it does not exist! [WARNING] cpu_adagrad attempted to query ‘lscpu’ after failing to use py-cpuinfo to detect the CPU architecture. ‘lscpu’ does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution. [WARNING] cpu_adagrad requires the ‘lscpu’ command, but it does not exist! [WARNING] cpu_adagrad attempted to query ‘lscpu’ after failing to use py-cpuinfo to detect the CPU architecture. ‘lscpu’ does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution. [WARNING] please install triton==1.0.0 if you want to use sparse attention [WARNING] One can disable sparse_attn with DS_BUILD_SPARSE_ATTN=0 [ERROR] Unable to pre-compile sparse_attn [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. «>

    Tried to disable sparse and async_io.

    The text was updated successfully, but these errors were encountered:

    @AndreyRGW sorry the late response on this. Can you try installing Triton and try again? pip install triton==1.0.0

    @AndreyRGW sorry the late response on this. Can you try installing Triton and try again? pip install triton==1.0.0

    Hello. First of all, my python doesn’t see triton above version 0.3.0. Secondly, when I install triton 0.3.0, I get an error.

    Источник

    Почему появляется ошибка pip?

    Ошибка при скачивании python пакетов (pip). Из-за чего может вывесть такую ошибку ?

    • Вопрос задан 02 февр. 2022
    • 2585 просмотров

    Простой 5 комментариев

    Dr. Bacon, $ pip install uvloop
    Collecting uvloop
    Using cached uvloop-0.16.0.tar.gz (2.1 MB)
    Preparing metadata (setup.py) . error
    error: subprocess-exited-with-error

    × python setup.py egg_info did not run successfully.
    │ exit code: 1
    ╰─> [6 lines of output]
    Traceback (most recent call last):
    File «», line 2, in
    File «», line 34, in
    File «C:UsersUserAppDataLocalTemppip-install-j62ognxauvloop_c6ea97633ab74c66b6a637f49476419csetup.py», line 8, in
    raise RuntimeError(‘uvloop does not support Windows at the moment’)
    RuntimeError: uvloop does not support Windows at the moment
    [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.

    Источник

    Today We are Going To Solve Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully in Python. Here we will Discuss All Possible Solutions and How this error Occurs So let’s get started with this Article.

    Contents

    • 1 How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?
      • 1.1 Solution 1 : Install PyQt5
      • 1.2 Solution 2 : Install turtle
    • 2 Conclusion
      • 2.1 Also Read These Solutions
    1. How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?

      To Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error just Install PyQt5. You have to uninstall python and install the latest version of it and after it run the below command python -m pip install PyQt5

    2. Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully

      To Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error just Install turtle. To solve this error you have to install turtle and use-deprecated pip install turtle --use-deprecated=backtrack-on-build-failures

    Solution 1 : Install PyQt5

    You have to uninstall python and install the latest version of it and after it run the below command

    python -m pip install PyQt5

    Solution 2 : Install turtle

    To solve this error you have to install turtle and use-deprecated

    pip install turtle --use-deprecated=backtrack-on-build-failures
    

    Conclusion

    So these were all possible solutions to this error. I hope your error has been solved by this article. In the comments, tell us which solution worked? If you liked our article, please share it on your social media and comment on your suggestions. Thank you.

    Also Read These Solutions

    • python pip: “error: legacy-install-failure”
    • ERROR: Failed building wheel for numpy , ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
    • Python/Docker ImportError: cannot import name ‘json’ from itsdangerous
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    • ImportError: cannot import name ‘_unicodefun’ from ‘click’

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