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Setting boolean indexing flag to False #884

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Merged
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Jul 13, 2025
Merged

Setting boolean indexing flag to False #884

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226109b
Setting boolean indexing flag to False
prady0t Jul 13, 2025
affa763
Update docs/operations.md
prady0t Jul 13, 2025
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2 changes: 1 addition & 1 deletion docs/operations.md
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Expand Up @@ -209,7 +209,7 @@ in the form `x.reduction()`, the following reductions are supported:
## Indexing

[`sparse.COO`][] and [`sparse.GCXS`][] arrays can be [indexed](https://numpy.org/doc/stable/user/basics.indexing.html)
just like regular [`numpy.ndarray`][] objects. They support integer, slice and boolean indexing.
just like regular [`numpy.ndarray`][] objects. They support integer, slice and boolean indexing(sparse boolean index not supported yet).
However, currently, numpy advanced indexing is not properly supported. This
means that all of the following work like in Numpy, except that they will produce
[`sparse.SparseArray`][] arrays rather than [`numpy.ndarray`][] objects, and will produce
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2 changes: 1 addition & 1 deletion sparse/numba_backend/_settings.py
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Expand Up @@ -28,7 +28,7 @@ def __init__(self):
def capabilities(self):
np_capabilities = self.np_info.capabilities()
return {
"boolean indexing": True,
"boolean indexing": False,
"data-dependent shapes": True,
"max dimensions": np_capabilities.get("max dimensions", 64) - 1,
}
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