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from __future__ import annotations
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import boost_histogram as bh
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+ import dask
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import dask .array as da
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import dask .array .utils as dau
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+ import dask_histogram .core as dhc
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import numpy as np
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import pytest
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from dask .delayed import delayed
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- import dask_histogram .core as dhc
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-
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def _gen_storage (weights , sample ):
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if weights is not None and sample is not None :
@@ -123,7 +123,10 @@ def test_nd_array(weights):
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)
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np .testing .assert_allclose (h .counts (flow = True ), dh .compute ().counts (flow = True ))
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-
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+ @pytest .mark .xfail (
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+ dask .__version__ .startswith ("2025" ),
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+ reason = "major backwards incompatible changes to dataframe" ,
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+ )
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@pytest .mark .parametrize ("weights" , [True , None ])
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def test_df_input (weights ):
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pytest .importorskip ("pandas" )
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