@@ -313,6 +313,11 @@ def bincount(x, weights=None, minlength=0):
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For full documentation refer to :obj:`numpy.bincount`.
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+ Warning
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+ -------
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+ This function synchronizes in order to calculate binning edges.
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+ This may harm performance in some applications.
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+
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Parameters
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----------
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x : {dpnp.ndarray, usm_ndarray}
@@ -506,6 +511,11 @@ def histogram(a, bins=10, range=None, density=None, weights=None):
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For full documentation refer to :obj:`numpy.histogram`.
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+ Warning
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+ -------
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+ This function may synchronize in order to check a monotonically increasing
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+ array of bin edges. This may harm performance in some applications.
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+
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Parameters
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----------
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a : {dpnp.ndarray, usm_ndarray}
@@ -672,6 +682,11 @@ def histogram_bin_edges(a, bins=10, range=None, weights=None):
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For full documentation refer to :obj:`numpy.histogram_bin_edges`.
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+ Warning
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+ -------
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+ This function may synchronize in order to check a monotonically increasing
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+ array of bin edges. This may harm performance in some applications.
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+
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Parameters
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----------
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a : {dpnp.ndarray, usm_ndarray}
@@ -757,6 +772,13 @@ def histogram2d(x, y, bins=10, range=None, density=None, weights=None):
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"""
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Compute the bi-dimensional histogram of two data samples.
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+ For full documentation refer to :obj:`numpy.histogram2d`.
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+
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+ Warning
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+ -------
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+ This function may synchronize in order to check a monotonically increasing
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+ array of bin edges. This may harm performance in some applications.
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+
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Parameters
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----------
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x : {dpnp.ndarray, usm_ndarray} of shape (N,)
@@ -1085,6 +1107,11 @@ def histogramdd(sample, bins=10, range=None, density=None, weights=None):
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For full documentation refer to :obj:`numpy.histogramdd`.
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+ Warning
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+ -------
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+ This function may synchronize in order to check a monotonically increasing
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+ array of bin edges. This may harm performance in some applications.
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+
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Parameters
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----------
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sample : {dpnp.ndarray, usm_ndarray}
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