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| author | Navpreet Singh <navpreet_np@yahoo.com> | 2022-11-18 02:57:11 -0500 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2022-11-19 10:52:16 -0700 |
| commit | dcd9404456e4af37041ee740045e95b10aaa46ad (patch) | |
| tree | 31b6e40381ed0fbb978256a6d3c46dd8f285c7e6 | |
| parent | bb5e3a671f1fab8bf39346c760cf65009f91bea2 (diff) | |
| download | numpy-dcd9404456e4af37041ee740045e95b10aaa46ad.tar.gz | |
BUG: Histogramdd breaks on big arrays in Windows (#22561)
* BUG: Histogramdd breaks on big arrays in Windows
Resolved the issue with line change from int to np.intp in numpy/numpy/lib/histograms.py
* BUG: Histogramdd breaks on big arrays in Windows
Resolved the issue with line change from int to np.intp in numpy/numpy/lib/histograms.py
* Removed the binary files
* Update test_histograms.py
* Update test_histograms.py
* Update test_histograms.py
| -rw-r--r-- | numpy/lib/histograms.py | 2 | ||||
| -rw-r--r-- | numpy/lib/tests/test_histograms.py | 11 |
2 files changed, 12 insertions, 1 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index 98182f1c4..194ee6ce2 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -1019,7 +1019,7 @@ def histogramdd(sample, bins=10, range=None, normed=None, weights=None, sample = np.atleast_2d(sample).T N, D = sample.shape - nbin = np.empty(D, int) + nbin = np.empty(D, np.intp) edges = D*[None] dedges = D*[None] if weights is not None: diff --git a/numpy/lib/tests/test_histograms.py b/numpy/lib/tests/test_histograms.py index 1a1327c84..14423f6f5 100644 --- a/numpy/lib/tests/test_histograms.py +++ b/numpy/lib/tests/test_histograms.py @@ -6,6 +6,7 @@ from numpy.testing import ( assert_array_almost_equal, assert_raises, assert_allclose, assert_array_max_ulp, assert_raises_regex, suppress_warnings, ) +from numpy.testing._private.utils import requires_memory import pytest @@ -421,6 +422,16 @@ class TestHistogram: edges = histogram_bin_edges(arr, bins='auto', range=(0, 1)) assert_array_equal(edges, e) + @requires_memory(free_bytes=1e10) + @pytest.mark.slow + def test_big_arrays(self): + sample = np.zeros([100000000, 3]) + xbins = 400 + ybins = 400 + zbins = np.arange(16000) + hist = np.histogramdd(sample=sample, bins=(xbins, ybins, zbins)) + assert_equal(type(hist), type((1, 2))) + class TestHistogramOptimBinNums: """ |