Closed regro-cf-autotick-bot closed 5 months ago
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found it was in an excellent condition.
import: 'pymc'
WARNING (pytensor.configdefaults): g++ not detected! PyTensor will be unable to compile C-implementations and will default to Python. Performance may be severely degraded. To remove this warning, set PyTensor flags cxx to an empty string.
WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
Traceback (most recent call last):
File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/test_tmp/run_test.py", line 2, in <module>
import pymc
File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/__init__.py", line 48, in <module>
from pymc import _version, gp, ode, sampling
File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/sampling/__init__.py", line 17, in <module>
from pymc.sampling.mcmc import *
File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/sampling/mcmc.py", line 41, in <module>
from threadpoolctl import threadpool_limits
ModuleNotFoundError: No module named 'threadpoolctl'
import: 'pymc' WARNING (pytensor.configdefaults): g++ not detected! PyTensor will be unable to compile C-implementations and will default to Python. Performance may be severely degraded. To remove this warning, set PyTensor flags cxx to an empty string. WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions. Traceback (most recent call last): File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/test_tmp/run_test.py", line 2, in <module> import pymc File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/__init__.py", line 48, in <module> from pymc import _version, gp, ode, sampling File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/sampling/__init__.py", line 17, in <module> from pymc.sampling.mcmc import * File "/home/conda/feedstock_root/build_artifacts/pymc-suite_1717125891687/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/python3.12/site-packages/pymc/sampling/mcmc.py", line 41, in <module> from threadpoolctl import threadpool_limits ModuleNotFoundError: No module named 'threadpoolctl'
New dependency, I guess the recipe needs to be tweaked?
pymc 5.15.1 has requirement pytensor<2.23,>=2.22.1, but you have pytensor 2.20.0
Yes also that
Thanks
Yikes, the version pins are missing from threadpoolctl
.
Do we need them? We also lack them for cloudpickle.
We also lack them for cloudpickle.
This should be okay since there aren't version pins upstream.
Do we need them?
Maybe, maybe not. I like to be very strict about matching the PyPI dependencies. Otherwise we run the risk of very confusing dependency conflicts, for example here where a single bad ArviZ build is causing the PyMC3 build to fail.
I might add a repodata patch for this to be safe.
OK, lets add it for next time.
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