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Azure / azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
MIT License
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Mltable installation error. Apple MacOS #33642

Open nagydavid opened 11 months ago

nagydavid commented 11 months ago

Describe the bug I know its a duplicate, but other bug report is inactive. https://github.com/Azure/azure-sdk-for-python/issues/28760

Unable to install mltable/dependency issue.

To Reproduce Steps to reproduce the behavior:

  1. pip install mltable

Expected behavior install MLtable Screenshots If applicable, add screenshots to help explain your problem.

Additional context Full log of installation 


Installing mltable...
Resolving mltable...
Installing...
⠇ Installing mltable...[31m[1mError: [0m An error occurred while installing [32mmltable[0m!
Error text: Collecting mltable
  Using cached mltable-1.5.0-py3-none-any.whl (181 kB)
Requirement already satisfied: azure-core!=1.22.0,<2.0.0,>=1.8.0 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (1.29.6)
Requirement already satisfied: msrest>=0.6.18 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (0.7.1)
Collecting azureml-dataprep<4.14.0a,>=4.12.0a
  Using cached azureml_dataprep-4.12.8-py3-none-any.whl (38.2 MB)
Requirement already satisfied: PyJWT<3.0.0 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (2.8.0)
Requirement already satisfied: python-dateutil<3.0.0,>=2.7.3 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (2.8.2)
Requirement already satisfied: pyyaml<7.0.0,>=5.1.0 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (6.0.1)
Requirement already satisfied: azure-mgmt-core<2.0.0,>=1.3.0 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (1.4.0)
Requirement already satisfied: jsonschema<5.0.0,>=4.0.0 in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (4.20.0)
Collecting pytz
  Using cached pytz-2023.3.post1-py2.py3-none-any.whl (502 kB)
Requirement already satisfied: cryptography!=1.9,!=2.0.*,!=2.1.*,!=2.2.* in ./.venv/lib/python3.9/site-packages (from mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (41.0.7)
Requirement already satisfied: anyio<5.0,>=3.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (4.2.0)
Requirement already satisfied: six>=1.11.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (1.16.0)
Requirement already satisfied: requests>=2.21.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (2.31.0)
Requirement already satisfied: typing-extensions>=4.6.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable->-r
/var/folders/82/x0pf9gdd5cs4f3h1mxcrcx280000gn/T/pipenv-2q8mwfb8-requirements/pipenv-mkpkv72m-requirement.txt (line 1)) (4.9.0)
Collecting azureml-dataprep<4.14.0a,>=4.12.0a
  Using cached azureml_dataprep-4.12.7-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.6-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.5-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.4-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.2-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.1-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.12.0-py3-none-any.whl (38.2 MB)
INFO: pip is looking at multiple versions of azure-mgmt-core to determine which version is compatible with other requirements. This could take a while.
Collecting azure-mgmt-core<2.0.0,>=1.3.0
  Using cached azure_mgmt_core-1.4.0-py3-none-any.whl (27 kB)
INFO: pip is looking at multiple versions of azure-core to determine which version is compatible with other requirements. This could take a while.
Collecting azure-core!=1.22.0,<2.0.0,>=1.8.0
  Using cached azure_core-1.29.6-py3-none-any.whl (192 kB)
INFO: pip is looking at multiple versions of <Python from Requires-Python> to determine which version is compatible with other requirements. This could take a while.
INFO: pip is looking at multiple versions of mltable to determine which version is compatible with other requirements. This could take a while.
Collecting mltable
  Using cached mltable-1.4.1-py3-none-any.whl (179 kB)
Collecting azureml-dataprep<4.12.0a,>=4.11.1
  Using cached azureml_dataprep-4.11.7-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.6-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.5-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.4-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.3-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.2-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.11.1-py3-none-any.whl (38.2 MB)
Collecting mltable
  Using cached mltable-1.4.0-py3-none-any.whl (179 kB)
Collecting cryptography!=1.9,!=2.0.*,!=2.1.*,!=2.2.*,<41
  Using cached cryptography-40.0.2-cp36-abi3-macosx_10_12_universal2.whl (5.1 MB)
Collecting mltable
  Using cached mltable-1.3.1-py3-none-any.whl (178 kB)
Collecting azureml-dataprep<4.11.0a,>=4.10.0a
  Using cached azureml_dataprep-4.10.9-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.8-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.7-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.6-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.5-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.4-py3-none-any.whl (38.2 MB)
  Using cached azureml_dataprep-4.10.1-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.10.0-py3-none-any.whl (43.5 MB)
Collecting mltable
  Using cached mltable-1.3.0-py3-none-any.whl (178 kB)
  Using cached mltable-1.2.0-py3-none-any.whl (177 kB)
Collecting azureml-dataprep<4.10.0a,>=4.9.0a
  Using cached azureml_dataprep-4.9.7-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.9.6-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.9.5-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.9.4-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.9.3-py3-none-any.whl (38.4 MB)
  Using cached azureml_dataprep-4.9.2-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.9.1-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.9.0-py3-none-any.whl (43.5 MB)
Collecting mltable
  Using cached mltable-1.1.0-py3-none-any.whl (170 kB)
Collecting azureml-dataprep<4.9.0a,>=4.8.0a
  Using cached azureml_dataprep-4.8.6-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.5-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.4-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.3-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.2-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.1-py3-none-any.whl (43.5 MB)
  Using cached azureml_dataprep-4.8.0-py3-none-any.whl (43.5 MB)
Collecting mltable
  Using cached mltable-1.0.0-py3-none-any.whl (149 kB)
INFO: pip is looking at multiple versions of <Python from Requires-Python> to determine which version is compatible with other requirements. This could take a while.
INFO: pip is looking at multiple versions of mltable to determine which version is compatible with other requirements. This could take a while.

The conflict is caused by:
    azureml-dataprep 4.8.6 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.5 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.4 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.3 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.2 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.1 depends on azureml-dataprep-native<39.0.0 and >=38.0.0
    azureml-dataprep 4.8.0 depends on azureml-dataprep-native<39.0.0 and >=38.0.0

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

[36mERROR: Cannot install azureml-dataprep==4.8.0, azureml-dataprep==4.8.1, azureml-dataprep==4.8.2, azureml-dataprep==4.8.3, azureml-dataprep==4.8.4, azureml-dataprep==4.8.5 and
azureml-dataprep==4.8.6 because these package versions have conflicting dependencies.
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
[0m
✘ Installation Failed
❯ pipenv install azureml-dataprep[pandas]
zsh: no matches found: azureml-dataprep[pandas]
❯ pipenv install "azureml-dataprep[pandas]"
Installing azureml-dataprep[pandas]...
Resolving azureml-dataprep...
Installing...

Aborted!
/Users/davidnagy/.pyenv/versions/3.10.9/lib/python3.10/subprocess.py:1072: ResourceWarning: subprocess 22801 is still running
  _warn("subprocess %s is still running" % self.pid,
ResourceWarning: Enable tracemalloc to get the object allocation traceback
❯ pip install -v mltable
Using pip 23.3.1 from /Users/davidnagy/Documents/work/GCAD.AML/.venv/lib/python3.9/site-packages/pip (python 3.9)
  Link requires a different Python (3.9.18 not in: '>=3.6,<3.9'): https://files.pythonhosted.org/packages/57/31/278edd9f710f818dd87bdca1509b2446e305d22e3efe3eddbb28b2147663/mltable-0.1.0b1-py3-none-any.whl (from https://pypi.org/simple/mltable/) (requires-python:>=3.6,<3.9)
  Link requires a different Python (3.9.18 not in: '>=3.6,<3.9'): https://files.pythonhosted.org/packages/95/ff/cdd79bd88c8961a6748fc1faa121222e2a376e64c2c973d26e49b1e6d054/mltable-0.1.0b2-py3-none-any.whl (from https://pypi.org/simple/mltable/) (requires-python:>=3.6,<3.9)
  Link requires a different Python (3.9.18 not in: '>=3.6,<3.9'): https://files.pythonhosted.org/packages/8a/26/d3036b832e26dba2a3b290a2c66672a11e4e65e28d94973d4564b4038f5e/mltable-0.1.0b3-py3-none-any.whl (from https://pypi.org/simple/mltable/) (requires-python:>=3.6,<3.9)
Collecting mltable
  Obtaining dependency information for mltable from https://files.pythonhosted.org/packages/95/fd/ae3d747f801982759483977f9942c299c0e0c77c287c0ac5dbe8dc34b333/mltable-1.5.0-py3-none-any.whl.metadata
  Downloading mltable-1.5.0-py3-none-any.whl.metadata (4.5 kB)
Collecting azureml-dataprep<4.14.0a,>=4.12.0a (from azureml-dataprep[parquet]<4.14.0a,>=4.12.0a->mltable)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/2a/bd/326b1a3469024ad6356f3b6ba3de57245d470833a5cfe23d8359687ce7d4/azureml_dataprep-4.12.8-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.8-py3-none-any.whl.metadata (2.1 kB)
Requirement already satisfied: pyyaml<7.0.0,>=5.1.0 in ./.venv/lib/python3.9/site-packages (from mltable) (6.0.1)
Requirement already satisfied: jsonschema<5.0.0,>=4.0.0 in ./.venv/lib/python3.9/site-packages (from mltable) (4.20.0)
Requirement already satisfied: msrest>=0.6.18 in ./.venv/lib/python3.9/site-packages (from mltable) (0.7.1)
Requirement already satisfied: azure-core!=1.22.0,<2.0.0,>=1.8.0 in ./.venv/lib/python3.9/site-packages (from mltable) (1.29.6)
Requirement already satisfied: azure-mgmt-core<2.0.0,>=1.3.0 in ./.venv/lib/python3.9/site-packages (from mltable) (1.4.0)
Requirement already satisfied: python-dateutil<3.0.0,>=2.7.3 in ./.venv/lib/python3.9/site-packages (from mltable) (2.8.2)
Requirement already satisfied: cryptography!=1.9,!=2.0.*,!=2.1.*,!=2.2.* in ./.venv/lib/python3.9/site-packages (from mltable) (41.0.7)
Requirement already satisfied: PyJWT<3.0.0 in ./.venv/lib/python3.9/site-packages (from mltable) (2.8.0)
Collecting pytz (from mltable)
  Obtaining dependency information for pytz from https://files.pythonhosted.org/packages/32/4d/aaf7eff5deb402fd9a24a1449a8119f00d74ae9c2efa79f8ef9994261fc2/pytz-2023.3.post1-py2.py3-none-any.whl.metadata
  Downloading pytz-2023.3.post1-py2.py3-none-any.whl.metadata (22 kB)
Requirement already satisfied: anyio<5.0,>=3.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable) (4.2.0)
Requirement already satisfied: requests>=2.21.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable) (2.31.0)
Requirement already satisfied: six>=1.11.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable) (1.16.0)
Requirement already satisfied: typing-extensions>=4.6.0 in ./.venv/lib/python3.9/site-packages (from azure-core!=1.22.0,<2.0.0,>=1.8.0->mltable) (4.9.0)
INFO: pip is looking at multiple versions of azureml-dataprep to determine which version is compatible with other requirements. This could take a while.
Collecting azureml-dataprep<4.14.0a,>=4.12.0a (from azureml-dataprep[parquet]<4.14.0a,>=4.12.0a->mltable)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/15/2a/53a71385d953d35a6bccb6053588240e91206527348eaf82068845d4a0af/azureml_dataprep-4.12.7-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.7-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/cb/40/59e490da0c216c8e60e00fd76bb325d95889c316a22e1aabd2651880ce78/azureml_dataprep-4.12.6-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.6-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/10/e8/ef78385061a74bb45beffb46755305b2858545bc6370e6d17d62473ab9ff/azureml_dataprep-4.12.5-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.5-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/d9/77/5026258cfe88424ad59f3b656d1dd0e82d600d0d9681b968396ed52a6958/azureml_dataprep-4.12.4-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.4-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/4e/9d/871277765d74a5b5541ce7d7c70c130f046d78e4a4c0c22d41aae950c420/azureml_dataprep-4.12.2-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.2-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/1f/f6/3e93d67408c8caacc6143552f10f286d167e021a6d0d9c272ba47d2ce71a/azureml_dataprep-4.12.1-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.1-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.14.0a,>=4.12.0a from https://files.pythonhosted.org/packages/28/84/f2b4e43381e4453db35bbe4480b7225cba6ded091d6630a223b60346d474/azureml_dataprep-4.12.0-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.12.0-py3-none-any.whl.metadata (2.1 kB)
INFO: pip is still looking at multiple versions of azureml-dataprep to determine which version is compatible with other requirements. This could take a while.
Collecting mltable
  Obtaining dependency information for mltable from https://files.pythonhosted.org/packages/8b/19/a5db18633b1756fd97b94ddd457372e35bc53f0ce807ee8d863d8526ede8/mltable-1.4.1-py3-none-any.whl.metadata
  Downloading mltable-1.4.1-py3-none-any.whl.metadata (4.1 kB)
Collecting azureml-dataprep<4.12.0a,>=4.11.1 (from azureml-dataprep[parquet]<4.12.0a,>=4.11.1->mltable)
  Obtaining dependency information for azureml-dataprep<4.12.0a,>=4.11.1 from https://files.pythonhosted.org/packages/5e/db/662de25eab79bb3a7153d0bf45289c1086c17bde055d7a262a0413029e35/azureml_dataprep-4.11.7-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.11.7-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.12.0a,>=4.11.1 from https://files.pythonhosted.org/packages/f5/26/2f9732f3d737fe45f7213475d497814b38608fdcc2e6f6c20fb3be546935/azureml_dataprep-4.11.6-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.11.6-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.12.0a,>=4.11.1 from https://files.pythonhosted.org/packages/cb/8f/075510d6a2b5ae53621316f4e4778d79bec4141af28bdfae1f5f20dc3c4d/azureml_dataprep-4.11.5-py3-none-any.whl.metadata
  Downloading azureml_dataprep-4.11.5-py3-none-any.whl.metadata (2.1 kB)
  Obtaining dependency information for azureml-dataprep<4.12.0a,>=4.11.1 from https://files.pythonhosted.org/packages/78/3a/c8b7638eabc68ca340961ee76fe6b67ae74412481a262e3af0993052a6d8/azureml_dataprep-4.11.4-py3-none-any.whl.metadata
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  Obtaining dependency information for azureml-dataprep<4.12.0a,>=4.11.1 from https://files.pythonhosted.org/packages/7c/f9/dabadcbce97961677913cf32cc31494ce774d7f3e1f13969ddc52d4214f4/azureml_dataprep-4.11.3-py3-none-any.whl.metadata
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ERROR: Cannot install azureml-dataprep because these package versions have conflicting dependencies.

The conflict is caused by:
    azureml-dataprep 4.8.6 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.5 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.4 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.3 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.2 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.1 depends on dotnetcore2<4.0.0 and >=3.0.0
    azureml-dataprep 4.8.0 depends on dotnetcore2<4.0.0 and >=3.0.0

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
´´´
github-actions[bot] commented 11 months ago

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @Azure/azure-ml-sdk @azureml-github.

github-actions[bot] commented 11 months ago

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @Azure/azure-ml-sdk @azureml-github.

nagydavid commented 10 months ago

@xiangyan99 May I have some update on the issue?

nagydavid commented 9 months ago

@vivram Do you have any update?

doc commented 9 months ago

also having this issue ... any updates?

jzm0144 commented 8 months ago

Still dealing with this issue. I wonder, do all people with Macs are facing this? Any update?

sjsivert commented 7 months ago

+1. This is still an issue

radu-gheorghe commented 7 months ago

I get the same on ARM Ubuntu 22 (as well as OSX Ventura). Only on Windows it worked for me.

sidthekidder commented 5 months ago

Still facing the same issue

arianpasquali commented 5 months ago

This issue was first reported in Feb 2023. 18 months and no solution yet.

btw, also using Mac M1.

ross-p-smith commented 4 months ago

Due to this issue, we cannot use the DataAsset/DataStores within MachineLearning Workspace. This means we have to access the data directly from BlobServiceClient which goes against what we are trying to do - It looks like the dataprep library is reliant on dotnetcore2 which will not work on a Mac M1/M2

xekster commented 3 months ago

Same problem here, on a Mac M3.

MoyaCar commented 3 months ago

Same here M1 Pro

tds-captic commented 3 months ago

Same here

elisasimoni commented 2 months ago

No solution yet? Same problem on every macos thats not intel

MoyaCar commented 2 months ago

I'm using Conda env in Rosetta mode to install all those libraries and everything seems to be working now. I found this workaround in other issue not related, but I think it can help when you find a problem between a library and ARM processors.

change myenv_x86 and python versions to the desired ones, I'm using 3.10, so it should work in 3.9 and 3.10 at least.

CONDA_SUBDIR=osx-64 conda create -n myenv_x86 python=3.9
conda activate myenv_x86
conda config --env --set subdir osx-64

Hope this help, good luck to you all.