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src/array_api_extra/_delegation.py

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@@ -856,9 +856,9 @@ def isin(
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Parameters
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----------
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a : array_like
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a : array
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Input elements.
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b : array_like
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b : array
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The elements against which to test each element of `a`.
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assume_unique : bool, optional
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If True, the input arrays are both assumed to be unique which can speed
@@ -868,7 +868,7 @@ def isin(
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kind : str | None, optional
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The algorithm or method to use. This will not affect the final result,
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but will affect the speed and memory use.
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For Numpy the options are {None, "sort", "table"}.
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For NumPy the options are {None, "sort", "table"}.
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For Jax the mapped parameter is instead `method` and the options are
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{"compare_all", "binary_search", "sort", and "auto" (default)}
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For Cupy, Dask, Torch and the default case this parameter is not present and

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