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============================= test session starts ============================== | |
platform darwin -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-1.0.0 -- /Users/ogrisel/mambaforge/envs/crash-scipy-dev/bin/python | |
cachedir: .pytest_cache | |
rootdir: /Users/ogrisel | |
collecting ... collected 47225 items | |
mambaforge/envs/crash-scipy-dev/lib/python3.9/site-packages/scipy/_build_utils/tests/test_scipy_version.py::test_valid_scipy_version PASSED [ 0%] | |
mambaforge/envs/crash-scipy-dev/lib/python3.9/site-packages/scipy/_lib/tests/test__gcutils.py::test_set_gc_state PASSED [ 0%] | |
mambaforge/envs/crash-scipy-dev/lib/python3.9/site-packages/scipy/_lib/tests/test__gcutils.py::test_gc_state PASSED [ 0%] | |
mambaforge/envs/crash-scipy-dev/lib/python3.9/site-packages/scipy/_lib/tests/test__gcutils.py::test_assert_deallocated PASSED [ 0%] |
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import numpy as np | |
from subprocess import check_output | |
import threadpoolctl | |
from pprint import pprint | |
from time import perf_counter | |
from pathlib import Path | |
import sklearn | |
from sklearn.neighbors import KNeighborsClassifier | |
from sklearn.datasets import make_classification | |
from sklearn.model_selection import train_test_split |
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import numpy as np | |
from subprocess import check_output | |
import threadpoolctl | |
from pprint import pprint | |
from time import perf_counter | |
from pathlib import Path | |
import sklearn | |
from sklearn.neighbors import KNeighborsClassifier | |
from sklearn.datasets import make_classification | |
from sklearn.model_selection import train_test_split |
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___________________________________________ TestUfuncGenericLoops.test_unary_PyUFunc_O_O_method_full[reciprocal] ____________________________________________ | |
self = <numpy.core.tests.test_ufunc.TestUfuncGenericLoops object at 0x15b5324f0>, ufunc = <ufunc 'reciprocal'> | |
@pytest.mark.parametrize("ufunc", UNARY_OBJECT_UFUNCS) | |
def test_unary_PyUFunc_O_O_method_full(self, ufunc): | |
"""Compare the result of the object loop with non-object one""" | |
val = np.float64(np.pi/4) | |
class MyFloat(np.float64): |
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Running from numpy source directory. | |
Processing numpy/random/_bounded_integers.pxd.in | |
Processing numpy/random/_philox.pyx | |
Processing numpy/random/_bounded_integers.pyx.in | |
Processing numpy/random/_sfc64.pyx | |
Processing numpy/random/_mt19937.pyx | |
Processing numpy/random/bit_generator.pyx | |
Processing numpy/random/mtrand.pyx | |
Processing numpy/random/_generator.pyx | |
Processing numpy/random/_pcg64.pyx |
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# %% | |
import numpy as np | |
from numpy.random import sample | |
from numpy.testing import assert_allclose | |
from sklearn.preprocessing import scale | |
from sklearn.datasets import make_regression | |
from sklearn.model_selection import train_test_split | |
from scipy.optimize import fmin_l_bfgs_b, check_grad | |
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import numpy as np | |
from sklearn.utils.extmath import _incremental_mean_and_var | |
from sklearn.utils.sparsefuncs import _incr_mean_var_axis0 | |
from sklearn.utils.sparsefuncs import _csc_mean_var_axis0 | |
from sklearn.utils.sparsefuncs import _csr_mean_var_axis0 | |
from scipy.sparse import csr_matrix | |
from scipy.sparse import csc_matrix | |
for dtype in [np.float64, np.float32]: | |
print(f"## dtype={dtype.__name__}") |
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# %% | |
import numpy as np | |
from numpy.testing import assert_allclose | |
from sklearn.linear_model import Ridge | |
from sklearn.datasets import make_regression | |
from sklearn.model_selection import train_test_split | |
from scipy.optimize import fmin_l_bfgs_b, check_grad | |
np.random.seed(0) |
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# %% | |
from time import perf_counter | |
from sklearn.datasets import make_blobs | |
from sklearn.cluster import KMeans | |
from sklearn.cluster import MiniBatchKMeans | |
from sklearn.cluster import kmeans_plusplus | |
from sklearn.model_selection import train_test_split | |
from scipy.spatial.distance import cdist | |
from subprocess import run | |
from pprint import pprint |