Preparing metadata pyproject toml error - Исправление ошибок и поиск оптимальных решений проблем

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

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

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
ImportError: cannot import name ‘Markup’ from ‘jinja2’
ImportError: cannot import name ‘_unicodefun’ from ‘click’

Источник

Содержание

Preparing wheel metadata pyproject toml error
Preparing metadata (pyproject.toml) did not run successfully #
Try upgrading your versions of pip , setuptools and wheel #
[Fixed] Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully
How to Fix Error while installing pytq5 with pip: Preparing metadata (pyproject.toml) did not run successfully Error?
Solution 1 : Install PyQt5
Solution 2 : Install turtle
Conclusion
pywavelets fails to install on Alpine Linux v3.15 ARM #623
Comments
[Bug]: metadata-generation-failed #2199
Comments
Is there an existing issue for this?
Current Behavior
Expected Behavior
Steps To Reproduce
Anything else?

Reading time В· 5 min

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 missing dependencies.
Try running the pip install command with the —pre option.

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

Run the brew install qt5 command to install qt5.
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 .

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

Источник

pywavelets fails to install on Alpine Linux v3.15 ARM #623

Hi! Trying to install pywavelets on Nextcloud 23 Docker Alpine image with ARM and facing next issue:

numpy already installed:

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

That’s a partial log of a build from source. We do have 64-bit ARM wheels, so are you on 32-bit ARM?

Can you please provide a full build log, here or as a gist?

I didn’t found 64bit pywavelets wheels for Alpine (musllinux_1_1_).

Full build log available here.

Ugh, we have aarch64 wheels and musllinux_1_1 wheels, but not musl-on-aarch64 wheels.

So yes you have to build from source. The relevant error is:

So you don’t have a compiler installed or it’s not working correctly for some reason.

I’m getting something very similar:

Custom built AWS Graviton2 Processor with 64-bit Arm Neoverse cores

what would you advise regarding compiling ?

@rom1504, that looks like pip did not automatically install NumPy as specified in the pyproject.toml file’s build requirements.

We have not tested on the AWS Graviton2 platform, so it is possible that we haven’t set the numpy version selection logic in pyproject.toml properly for that case. If you manually install the dependencies via python -m pip install numpy cython setuptools wheel does that complete successfully?

I may also be worth first upgrading pip via: python -m pip install -–upgrade pip . If you are still having problems after this can you post a more verbose output using pip install pywavelets -vvv

hi @grlee77 , I tested again on this platform and if I’m using ubuntu 20.04 instead of aws centos based distribution, it seems to be working.
I guess the difference might come from using python 3.8 in ubuntu 20.04 instead of 3.7 in aws distribution
so this works for me.
I could try again on the aws distribution if that’s useful for you

Same problem here. Using GitHub Actions and building within the quay.io/pypa/manylinux2014_aarch64 docker image. I note that 1.1.1 has manylinux2014_aarch64 wheels, whereas 1.2.0 does not. Previously my build wouldn’t fail as 1.1.1 was used, but now this bar got raised by some transitive dependency (probably scikit-image) so that it tries to build 1.2.0 from source (given the lack of wheels) and fails. So IMO there are two issues here: failing build, missing wheel.

Looking at the pyproject.toml there is no variant that applies to Python 3.7 and aarch64:

Looking at the pyproject.toml there is no variant that applies to Python 3.7 and aarch64:

That does sound right. NumPy 1.20.0 does have an aarch64 wheel for Python 3.7: numpy-1.20.0-cp37-cp37m-manylinux2014_aarch64.whl

Adding this to pyproject.toml will probably fix that one:

That’s different from the original report on Python 3.9 though, which was due to musllinux .

Yes, also stumbled into that second bug of the ticket, on a regular python docker image on a regular ubuntu host.

In fact, downgrade to installing PyWavelets==1.1.1 did work with the docker image pypy:3.7-buster

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

I’m trying to install pyqt5-tools (just for the designer) on a fresh python virtual environment on Window.
But I get the following error message from pip:

  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
  ╰─> [29 lines of output]
      Traceback (most recent call last):
        File "c:UsersAntoniotestenvlibsite-packagespip_vendorpep517in_process_in_process.py", line 156, in prepare_metadata_for_build_wheel
          hook = backend.prepare_metadata_for_build_wheel
      AttributeError: module 'sipbuild.api' has no attribute 'prepare_metadata_for_build_wheel'

      During handling of the above exception, another exception occurred:

      Traceback (most recent call last):
        File "c:UsersAntoniotestenvlibsite-packagespip_vendorpep517in_process_in_process.py", line 363, in <module>
          main()
        File "c:UsersAntoniotestenvlibsite-packagespip_vendorpep517in_process_in_process.py", line 345, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
        File "c:UsersAntoniotestenvlibsite-packagespip_vendorpep517in_process_in_process.py", line 160, in prepare_metadata_for_build_wheel
          whl_basename = backend.build_wheel(metadata_directory, config_settings)
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagessipbuildapi.py", line 46, in build_wheel
          project = AbstractProject.bootstrap('wheel',
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagessipbuildabstract_project.py", line 87, in bootstrap
          project.setup(pyproject, tool, tool_description)
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagessipbuildproject.py", line 584, in setup
          self.apply_user_defaults(tool)
        File "C:UsersAntonioAppDataLocalTemppip-install-hyvt3ynypyqt5_eb0ef21f6fd44feab5540f177959c190project.py", line 63, in apply_user_defaults
          super().apply_user_defaults(tool)
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagespyqtbuildproject.py", line 70, in apply_user_defaults
          super().apply_user_defaults(tool)
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagessipbuildproject.py", line 236, in apply_user_defaults
          self.builder.apply_user_defaults(tool)
        File "C:UsersAntonioAppDataLocalTemppip-build-env-i8iu0fc8overlayLibsite-packagespyqtbuildbuilder.py", line 67, in apply_user_defaults
          raise PyProjectOptionException('qmake',
      sipbuild.pyproject.PyProjectOptionException
      [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.

Do you have an idea on how to solve this issue?

Источник

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:

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 missing dependencies.
Try running the pip install command with the —pre option.

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

Run the brew install qt5 command to install qt5.
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

Источник

Hi all, I’ve been trying to install PyQT6 designer but can’t seem to be able to install it. This is the error I’ve been getting:

C:WINDOWSsystem32>pip install pyqt6-tools
Collecting pyqt6-tools
  Using cached pyqt6_tools-6.1.0.3.2-py3-none-any.whl (29 kB)
Collecting python-dotenv
  Using cached python_dotenv-0.20.0-py3-none-any.whl (17 kB)
Collecting click
  Using cached click-8.1.0-py3-none-any.whl (96 kB)
Collecting pyqt6-tools
  Using cached pyqt6_tools-6.0.3.3.2-py3-none-any.whl (29 kB)
  Using cached pyqt6_tools-6.0.2.3.2-py3-none-any.whl (29 kB)
Collecting pyqt6==6.0.2
  Using cached PyQt6-6.0.2.tar.gz (940 kB)
  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
  ╰─> [29 lines of output]
      Traceback (most recent call last):
        File "C:UsersIrritatedRavenAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py", line 156, in prepare_metadata_for_build_wheel
          hook = backend.prepare_metadata_for_build_wheel
      AttributeError: module 'sipbuild.api' has no attribute 'prepare_metadata_for_build_wheel'

      During handling of the above exception, another exception occurred:

      Traceback (most recent call last):
        File "C:UsersIrritatedRavenAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py", line 363, in <module>
          main()
        File "C:UsersIrritatedRavenAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py", line 345, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
        File "C:UsersIrritatedRavenAppDataLocalProgramsPythonPython310libsite-packagespip_vendorpep517in_process_in_process.py", line 160, in prepare_metadata_for_build_wheel
          whl_basename = backend.build_wheel(metadata_directory, config_settings)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagessipbuildapi.py", line 51, in build_wheel
          project = AbstractProject.bootstrap('pep517')
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagessipbuildabstract_project.py", line 83, in bootstrap
          project.setup(pyproject, tool, tool_description)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagessipbuildproject.py", line 594, in setup
          self.apply_user_defaults(tool)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-install-hnu_p6a6pyqt6_0e0e15bb298146eaa5426f358c9d5d11project.py", line 60, in apply_user_defaults
          super().apply_user_defaults(tool)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagespyqtbuildproject.py", line 70, in apply_user_defaults
          super().apply_user_defaults(tool)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagessipbuildproject.py", line 241, in apply_user_defaults
          self.builder.apply_user_defaults(tool)
        File "C:UsersIrritatedRavenAppDataLocalTemppip-build-env-ubtroc_2overlayLibsite-packagespyqtbuildbuilder.py", line 67, in apply_user_defaults
          raise PyProjectOptionException('qmake',
      sipbuild.pyproject.PyProjectOptionException
      [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.

I’ve tried the following to fix my issues:

Uninstalled PyQT 6 through pip uninstall PyQt6 — Same error occured
Installed pyqt5-tools instead of pyqt6-tools — Same error occured
Reinstalled Python — Same error occured

Anyone mind helping me figure out what’s going on?

Источник

Solution 1 : Install PyQt5

Solution 2 : Install turtle

Conclusion

Also Read These Solutions

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

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

Solution 1 : Install PyQt5

Solution 2 : Install turtle

Conclusion

pywavelets fails to install on Alpine Linux v3.15 ARM #623

Is there an existing issue for this?

Current Behavior

Expected Behavior

Steps To Reproduce

Anything else?

Preparing metadata (setup.py) . error #1157

Comments

Footer

Preparing metadata setup py error

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

Try upgrading your versions of pip , setuptools and wheel #

Rijwan & Satya’s Blog

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

By Satya Karki

Can’t install Deepspeed #2099

Comments

Почему появляется ошибка pip?