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Update scipy #771

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34efc4d
Update scipy
jarrodmillman Jun 27, 2024
8c8664f
Fix doctests
jarrodmillman Jun 27, 2024
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12 changes: 6 additions & 6 deletions advanced/scipy_sparse/bsr_array.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -35,8 +35,8 @@ Examples

>>> mtx = sp.sparse.bsr_array((3, 4), dtype=np.int8)
>>> mtx
<3x4 sparse array of type '<... 'numpy.int8'>'
with 0 stored elements (blocksize = 1x1) in Block Sparse Row format>
<Block Sparse Row sparse array of dtype 'int8'
with 0 stored elements (blocksize=1x1) and shape (3, 4)>
>>> mtx.toarray()
array([[0, 0, 0, 0],
[0, 0, 0, 0],
Expand All @@ -46,8 +46,8 @@ Examples

>>> mtx = sp.sparse.bsr_array((3, 4), blocksize=(3, 2), dtype=np.int8)
>>> mtx
<3x4 sparse array of type '<... 'numpy.int8'>'
with 0 stored elements (blocksize = 3x2) in Block Sparse Row format>
<Block Sparse Row sparse array of dtype 'int8'
with 0 stored elements (blocksize=3x2) and shape (3, 4)>
>>> mtx.toarray()
array([[0, 0, 0, 0],
[0, 0, 0, 0],
Expand All @@ -62,8 +62,8 @@ Examples
>>> data = np.array([1, 2, 3, 4, 5, 6])
>>> mtx = sp.sparse.bsr_array((data, (row, col)), shape=(3, 3))
>>> mtx
<3x3 sparse array of type '<... 'numpy.int64'>'
with 6 stored elements (blocksize = 1x1) in Block Sparse Row format>
<Block Sparse Row sparse array of dtype 'int64'
with 6 stored elements (blocksize=1x1) and shape (3, 3)>
>>> mtx.toarray()
array([[1, 0, 2],
[0, 0, 3],
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2 changes: 1 addition & 1 deletion requirements.txt
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@@ -1,5 +1,5 @@
numpy==2.0.0
scipy==1.13.1
scipy==1.14.0
matplotlib==3.9.0
pandas==2.2.2
patsy==0.5.6
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