PYMC/Arviz failing to install on Databricks

[brawth]

Describe the issue:

Good Afternoon,

Wanted to check if anyone's else's workflows on Databricks are failing to install pymc== 5.23.0 on 14.3 lts + clusters on Databricks as of earlier today.

Both within notebook installation via pip and installation via pyPi on DB are failing for me-with (sadly) not terribly helpful error messages.

Reproduceable code example:

%pip install pymc

Error message:

Collecting pymc==5.23.0
  Using cached pymc-5.23.0-py3-none-any.whl.metadata (16 kB)
Collecting arviz>=0.13.0 (from pymc==5.23.0)
  Using cached arviz-0.21.0-py3-none-any.whl.metadata (8.8 kB)
Requirement already satisfied: cachetools>=4.2.1 in /databricks/python3/lib/python3.12/site-packages (from pymc==5.23.0) (5.3.3)
Requirement already satisfied: cloudpickle in /databricks/python3/lib/python3.12/site-packages (from pymc==5.23.0) (2.2.1)
Requirement already satisfied: numpy>=1.25.0 in /databricks/python3/lib/python3.12/site-packages (from pymc==5.23.0) (1.26.4)
Requirement already satisfied: pandas>=0.24.0 in /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages (from pymc==5.23.0) (2.3.0)
Collecting pytensor<2.32,>=2.31.2 (from pymc==5.23.0)
  Using cached pytensor-2.31.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.9 kB)
Collecting rich>=13.7.1 (from pymc==5.23.0)
  Using cached rich-14.0.0-py3-none-any.whl.metadata (18 kB)
Requirement already satisfied: scipy>=1.4.1 in /databricks/python3/lib/python3.12/site-packages (from pymc==5.23.0) (1.13.1)
Requirement already satisfied: threadpoolctl<4.0.0,>=3.1.0 in /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages (from pymc==5.23.0) (3.6.0)
Requirement already satisfied: typing-extensions>=3.7.4 in /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages (from pymc==5.23.0) (4.14.0)
Requirement already satisfied: setuptools>=60.0.0 in /usr/local/lib/python3.12/dist-packages (from arviz>=0.13.0->pymc==5.23.0) (74.0.0)
Requirement already satisfied: matplotlib>=3.5 in /databricks/python3/lib/python3.12/site-packages (from arviz>=0.13.0->pymc==5.23.0) (3.8.4)
Requirement already satisfied: packaging in /databricks/python3/lib/python3.12/site-packages (from arviz>=0.13.0->pymc==5.23.0) (24.1)
Collecting xarray>=2022.6.0 (from arviz>=0.13.0->pymc==5.23.0)
  Using cached xarray-2025.6.1-py3-none-any.whl.metadata (12 kB)
Collecting h5netcdf>=1.0.2 (from arviz>=0.13.0->pymc==5.23.0)
  Using cached h5netcdf-1.6.1-py3-none-any.whl.metadata (13 kB)
Collecting xarray-einstats>=0.3 (from arviz>=0.13.0->pymc==5.23.0)
  Using cached xarray_einstats-0.9.1-py3-none-any.whl.metadata (5.9 kB)
Requirement already satisfied: python-dateutil>=2.8.2 in /databricks/python3/lib/python3.12/site-packages (from pandas>=0.24.0->pymc==5.23.0) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in /databricks/python3/lib/python3.12/site-packages (from pandas>=0.24.0->pymc==5.23.0) (2024.1)
Requirement already satisfied: tzdata>=2022.7 in /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages (from pandas>=0.24.0->pymc==5.23.0) (2025.2)
Requirement already satisfied: filelock>=3.15 in /usr/local/lib/python3.12/dist-packages (from pytensor<2.32,>=2.31.2->pymc==5.23.0) (3.15.4)
Collecting etuples (from pytensor<2.32,>=2.31.2->pymc==5.23.0)
  Using cached etuples-0.3.9.tar.gz (30 kB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting logical-unification (from pytensor<2.32,>=2.31.2->pymc==5.23.0)
  Using cached logical-unification-0.4.6.tar.gz (31 kB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting miniKanren (from pytensor<2.32,>=2.31.2->pymc==5.23.0)
  Using cached minikanren-1.0.4.tar.gz (21 kB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'error'
  error: subprocess-exited-with-error
  
  × Getting requirements to build wheel did not run successfully.
  │ exit code: 1
  ╰─> [36 lines of output]
      Traceback (most recent call last):
        File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-5d1139e6-59ac-454b-8cc5-dd49c0cef86b/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
          main()
        File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-5d1139e6-59ac-454b-8cc5-dd49c0cef86b/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-5d1139e6-59ac-454b-8cc5-dd49c0cef86b/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 118, in get_requires_for_build_wheel
          return hook(config_settings)
                 ^^^^^^^^^^^^^^^^^^^^^
        File "/usr/local/lib/python3.12/dist-packages/setuptools/build_meta.py", line 332, in get_requires_for_build_wheel
          return self._get_build_requires(config_settings, requirements=[])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/usr/local/lib/python3.12/dist-packages/setuptools/build_meta.py", line 302, in _get_build_requires
          self.run_setup()
        File "/usr/local/lib/python3.12/dist-packages/setuptools/build_meta.py", line 318, in run_setup
          exec(code, locals())
        File "<string>", line 1, in <module>
        File "/usr/local/lib/python3.12/dist-packages/setuptools/__init__.py", line 117, in setup
          return distutils.core.setup(**attrs)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/usr/local/lib/python3.12/dist-packages/setuptools/_distutils/core.py", line 158, in setup
          dist.parse_config_files()
        File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-5d1139e6-59ac-454b-8cc5-dd49c0cef86b/lib/python3.12/site-packages/_virtualenv.py", line 22, in parse_config_files
          result = old_parse_config_files(self, *args, **kwargs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/usr/local/lib/python3.12/dist-packages/setuptools/dist.py", line 608, in parse_config_files
          pyprojecttoml.apply_configuration(self, filename, ignore_option_errors)
        File "/usr/local/lib/python3.12/dist-packages/setuptools/config/pyprojecttoml.py", line 71, in apply_configuration
          config = read_configuration(filepath, True, ignore_option_errors, dist)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/usr/local/lib/python3.12/dist-packages/setuptools/config/pyprojecttoml.py", line 136, in read_configuration
          validate(subset, filepath)
        File "/usr/local/lib/python3.12/dist-packages/setuptools/config/pyprojecttoml.py", line 60, in validate
          raise ValueError(f"{error}\n{summary}") from None
      ValueError: invalid pyproject.toml config: `project`.
      configuration error: `project` must not contain {'license-files'} properties
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

PyMC version information:

pymc==5.23.0

Context for the issue:

(please note, no changes have been made to workflow-issue seems to be on the DB side as far as I can tell, as I can install locally on my other machine)

[redcodeworks]

The package build is breaking on miniKanren. Looking at PyPI, this was bumped to 1.0.4 over the weekend (6/19).

So in a notebook first install the old pin:

%pip install miniKanren==1.0.3

Then install pymc

%pip install pymc

[brawth]

Thank you!

It looks like databricks may have also done some work on their end-i tested today on my cluster and now all libraries install without issue.

[ricardoV94]

Thank you!

It looks like databricks may have also done some work on their end-i tested today on my cluster and now all libraries install without issue.

We made a release that avoids the breaking package