Skip to content

(fix): correct error message for sparse-in-dask #3646

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
merged 2 commits into from
May 27, 2025
Merged

(fix): correct error message for sparse-in-dask #3646

merged 2 commits into from
May 27, 2025

Conversation

flying-sheep
Copy link
Member

  • Release notes not necessary because:

@flying-sheep flying-sheep added this to the 1.11.2 milestone May 27, 2025
@flying-sheep flying-sheep requested a review from ilan-gold May 27, 2025 08:11
@codecov Codecov
Copy link

codecov bot commented May 27, 2025 •
edited
Loading

❌ 3 Tests Failed:

Tests completed Failed Passed Skipped
2136 3 2133 96
View the top 3 failed test(s) by shortest run time 
tests/test_preprocessing.py::test_regress_out_constants_equivalent
Stack Traces | 0.014s run time 
#x1B[0m#x1B[94mdef#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[92mtest_regress_out_constants_equivalent#x1B[39;49;00m():#x1B[90m#x1B[39;49;00m
        #x1B[90m# Tests that constant values don't change results#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        #x1B[90m# (since support for constant values is implemented by us)#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96msklearn#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mdatasets#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m make_blobs#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
        X, cat = make_blobs(#x1B[94m100#x1B[39;49;00m, #x1B[94m20#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m
        a = sc.AnnData(np.hstack([X, np.zeros((#x1B[94m100#x1B[39;49;00m, #x1B[94m5#x1B[39;49;00m))]), obs={#x1B[33m"#x1B[39;49;00m#x1B[33mcat#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m: pd.Categorical(cat)})#x1B[90m#x1B[39;49;00m
        b = sc.AnnData(X, obs={#x1B[33m"#x1B[39;49;00m#x1B[33mcat#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m: pd.Categorical(cat)})#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
>       sc.pp.regress_out(a, #x1B[33m"#x1B[39;49;00m#x1B[33mcat#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m

#x1B[1m#x1B[31mtests/test_preprocessing.py#x1B[0m:439: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../site-packages/legacy_api_wrap/__init__.py#x1B[0m:82: in fn_compatible
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m fn(*args_all, **kw)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py#x1B[0m:774: in regress_out
    #x1B[0mres = Parallel(n_jobs=n_jobs)(#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13....../site-packages/joblib/parallel.py#x1B[0m:1986: in __call__
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m output #x1B[94mif#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m.return_generator #x1B[94melse#x1B[39;49;00m #x1B[96mlist#x1B[39;49;00m(output)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13....../site-packages/joblib/parallel.py#x1B[0m:1914: in _get_sequential_output
    #x1B[0mres = func(*args, **kwargs)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py#x1B[0m:796: in _regress_out_chunk
    #x1B[0m#x1B[94mimport#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mstatsmodels#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mapi#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96msm#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../site-packages/statsmodels/api.py#x1B[0m:76: in <module>
    #x1B[0m#x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m datasets, distributions, iolib, regression, robust, tools#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../statsmodels/distributions/__init__.py#x1B[0m:7: in <module>
    #x1B[0m#x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mdiscrete#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m (#x1B[90m#x1B[39;49;00m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    #x1B[0m#x1B[94mimport#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mnumpy#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mnp#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
    #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mstats#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m rv_discrete, poisson, nbinom#x1B[90m#x1B[39;49;00m
    #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mspecial#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m gammaln#x1B[90m#x1B[39;49;00m
>   #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96m_lib#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96m_util#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m _lazywhere#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mE   ImportError: cannot import name '_lazywhere' from 'scipy._lib._util' (.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scipy/_lib/_util.py)#x1B[0m

#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../statsmodels/distributions/discrete.py#x1B[0m:5: ImportError
tests/test_preprocessing.py::test_regress_out_constants
Stack Traces | 0.035s run time 
#x1B[0m#x1B[94mdef#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[92mtest_regress_out_constants#x1B[39;49;00m():#x1B[90m#x1B[39;49;00m
        adata = AnnData(np.hstack((np.full((#x1B[94m10#x1B[39;49;00m, #x1B[94m1#x1B[39;49;00m), #x1B[94m0.0#x1B[39;49;00m), np.full((#x1B[94m10#x1B[39;49;00m, #x1B[94m1#x1B[39;49;00m), #x1B[94m1.0#x1B[39;49;00m))))#x1B[90m#x1B[39;49;00m
        adata.obs[#x1B[33m"#x1B[39;49;00m#x1B[33mpercent_mito#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m] = np.random.rand(adata.X.shape[#x1B[94m0#x1B[39;49;00m])#x1B[90m#x1B[39;49;00m
        adata.obs[#x1B[33m"#x1B[39;49;00m#x1B[33mn_counts#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m] = adata.X.sum(axis=#x1B[94m1#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m
        adata_copy = adata.copy()#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
>       sc.pp.regress_out(adata, keys=[#x1B[33m"#x1B[39;49;00m#x1B[33mn_counts#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m, #x1B[33m"#x1B[39;49;00m#x1B[33mpercent_mito#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m])#x1B[90m#x1B[39;49;00m

#x1B[1m#x1B[31mtests/test_preprocessing.py#x1B[0m:416: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../site-packages/legacy_api_wrap/__init__.py#x1B[0m:82: in fn_compatible
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m fn(*args_all, **kw)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py#x1B[0m:774: in regress_out
    #x1B[0mres = Parallel(n_jobs=n_jobs)(#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13....../site-packages/joblib/parallel.py#x1B[0m:1986: in __call__
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m output #x1B[94mif#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m.return_generator #x1B[94melse#x1B[39;49;00m #x1B[96mlist#x1B[39;49;00m(output)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13....../site-packages/joblib/parallel.py#x1B[0m:1914: in _get_sequential_output
    #x1B[0mres = func(*args, **kwargs)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py#x1B[0m:796: in _regress_out_chunk
    #x1B[0m#x1B[94mimport#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mstatsmodels#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mapi#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96msm#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../site-packages/statsmodels/api.py#x1B[0m:76: in <module>
    #x1B[0m#x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m datasets, distributions, iolib, regression, robust, tools#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../statsmodels/distributions/__init__.py#x1B[0m:7: in <module>
    #x1B[0m#x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mdiscrete#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m (#x1B[90m#x1B[39;49;00m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    #x1B[0m#x1B[94mimport#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mnumpy#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mnp#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
    #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mstats#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m rv_discrete, poisson, nbinom#x1B[90m#x1B[39;49;00m
    #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mspecial#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m gammaln#x1B[90m#x1B[39;49;00m
>   #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96m_lib#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96m_util#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m _lazywhere#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mE   ImportError: cannot import name '_lazywhere' from 'scipy._lib._util' (.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../scipy/_lib/_util.py)#x1B[0m

#x1B[1m#x1B[.../hostedtoolcache/Python/3.13.3.........................../x64/lib/python3.13.../statsmodels/distributions/discrete.py#x1B[0m:5: ImportError
tests/test_preprocessing.py::test_regress_out_categorical
Stack Traces | 13.9s run time 
joblib.externals.loky.process_executor._RemoteTraceback: 
"""
Traceback (most recent call last):
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../externals/loky/process_executor.py", line 490, in _process_worker
    r = call_item()
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../externals/loky/process_executor.py", line 291, in __call__
    return self.fn(*self.args, **self.kwargs)
           ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py", line 607, in __call__
    return [func(*args, **kwargs) for func, args, kwargs in self.items]
            ~~~~^^^^^^^^^^^^^^^^^
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py", line 796, in _regress_out_chunk
    import statsmodels.api as sm
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../site-packages/statsmodels/api.py", line 76, in <module>
    from . import datasets, distributions, iolib, regression, robust, tools
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../statsmodels/distributions/__init__.py", line 7, in <module>
    from .discrete import (
        genpoisson_p, zipoisson, zigenpoisson, zinegbin,
        )
  File ".../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../statsmodels/distributions/discrete.py", line 5, in <module>
    from scipy._lib._util import _lazywhere
ImportError: cannot import name '_lazywhere' from 'scipy._lib._util' (.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../scipy/_lib/_util.py)
"""

#x1B[33mThe above exception was the direct cause of the following exception:#x1B[0m

    #x1B[0m#x1B[94mdef#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[92mtest_regress_out_categorical#x1B[39;49;00m():#x1B[90m#x1B[39;49;00m
        #x1B[94mimport#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mpandas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mas#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mpd#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscipy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96msparse#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m random#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
        adata = AnnData(random(#x1B[94m1000#x1B[39;49;00m, #x1B[94m100#x1B[39;49;00m, density=#x1B[94m0.6#x1B[39;49;00m, #x1B[96mformat#x1B[39;49;00m=#x1B[33m"#x1B[39;49;00m#x1B[33mcsr#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m))#x1B[90m#x1B[39;49;00m
        #x1B[90m# create a categorical column#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        adata.obs[#x1B[33m"#x1B[39;49;00m#x1B[33mbatch#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m] = pd.Categorical(np.random.randint(#x1B[94m1#x1B[39;49;00m, #x1B[94m4#x1B[39;49;00m, size=adata.X.shape[#x1B[94m0#x1B[39;49;00m]))#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
>       multi = sc.pp.regress_out(adata, keys=#x1B[33m"#x1B[39;49;00m#x1B[33mbatch#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m, n_jobs=#x1B[94m8#x1B[39;49;00m, copy=#x1B[94mTrue#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m

#x1B[1m#x1B[31mtests/test_preprocessing.py#x1B[0m:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../site-packages/legacy_api_wrap/__init__.py#x1B[0m:82: in fn_compatible
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m fn(*args_all, **kw)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../scanpy/preprocessing/_simple.py#x1B[0m:774: in regress_out
    #x1B[0mres = Parallel(n_jobs=n_jobs)(#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:2072: in __call__
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m output #x1B[94mif#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m.return_generator #x1B[94melse#x1B[39;49;00m #x1B[96mlist#x1B[39;49;00m(output)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:1682: in _get_outputs
    #x1B[0m#x1B[94myield from#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m._retrieve()#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:1784: in _retrieve
    #x1B[0m#x1B[96mself#x1B[39;49;00m._raise_error_fast()#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:1859: in _raise_error_fast
    #x1B[0merror_job.get_result(#x1B[96mself#x1B[39;49;00m.timeout)#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:758: in get_result
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m._return_or_raise()#x1B[90m#x1B[39;49;00m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <joblib.parallel.BatchCompletionCallBack object at 0x7fc3dd05ca70>

    #x1B[0m#x1B[94mdef#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[92m_return_or_raise#x1B[39;49;00m(#x1B[96mself#x1B[39;49;00m):#x1B[90m#x1B[39;49;00m
        #x1B[94mtry#x1B[39;49;00m:#x1B[90m#x1B[39;49;00m
            #x1B[94mif#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m.status == TASK_ERROR:#x1B[90m#x1B[39;49;00m
>               #x1B[94mraise#x1B[39;49;00m #x1B[96mself#x1B[39;49;00m._result#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mE               ImportError: cannot import name '_lazywhere' from 'scipy._lib._util' (.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13.../scipy/_lib/_util.py)#x1B[0m

#x1B[1m#x1B[31m.../hostedtoolcache/Python/3.13.3.................................................../x64/lib/python3.13...................../site-packages/joblib/parallel.py#x1B[0m:773: ImportError

To view more test analytics, go to the Test Analytics Dashboard
📋 Got 3 mins? Take this short survey to help us improve Test Analytics.

@flying-sheep flying-sheep merged commit be79a9b into main May 27, 2025
11 of 15 checks passed
@flying-sheep flying-sheep deleted the pa/fix-sparse-pca-errmsg branch May 27, 2025 09:16
meeseeksmachine pushed a commit to meeseeksmachine/scanpy that referenced this pull request May 27, 2025
@flying-sheep @meeseeksmachine
Backport PR scverse#3646: (fix): correct error message for sparse-in-…
030314c 
…dask
@meeseeksmachine meeseeksmachine mentioned this pull request May 27, 2025
Merged
flying-sheep added a commit that referenced this pull request May 28, 2025
@meeseeksmachine @flying-sheep
Backport PR #3646: (fix): correct error message for sparse-in-dask (#…
46d54b6 
…3648)

Co-authored-by: Philipp A <flying-sheep@web.de>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@ilan-gold ilan-gold ilan-gold approved these changes

Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
1.11.2
Development

Successfully merging this pull request may close these issues.

Getting TypeError: Dask sparse arrays do not support zero-centering (yet) when zero_center=False
2 participants
@flying-sheep @ilan-gold