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authorPauli Virtanen <pav@iki.fi>2015-11-12 20:15:37 +0200
committerPauli Virtanen <pav@iki.fi>2015-11-12 20:19:47 +0200
commit8efc87ec599c0b3eac4e63bea6eda9023d8ed96d (patch)
treeb9f51647e66537760e63c5e662155eba9b6cde3e /numpy/add_newdocs.py
parent4be9ce7bea3321af3c9896da98c751f03459fa38 (diff)
downloadnumpy-8efc87ec599c0b3eac4e63bea6eda9023d8ed96d.tar.gz
ENH: reimplement may_share_memory in C to improve its performance
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r--numpy/add_newdocs.py39
1 files changed, 39 insertions, 0 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index b00e229c3..c14036089 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -3826,6 +3826,45 @@ add_newdoc('numpy.core.multiarray', 'shares_memory',
""")
+add_newdoc('numpy.core.multiarray', 'may_share_memory',
+ """
+ may_share_memory(a, b, max_work=None)
+
+ Determine if two arrays might share memory
+
+ A return of True does not necessarily mean that the two arrays
+ share any element. It just means that they *might*.
+
+ Only the memory bounds of a and b are checked by default.
+
+ Parameters
+ ----------
+ a, b : ndarray
+ Input arrays
+ max_work : int, optional
+ Effort to spend on solving the overlap problem. See
+ `shares_memory` for details. Default for ``may_share_memory``
+ is to do a bounds check.
+
+ Returns
+ -------
+ out : bool
+
+ See Also
+ --------
+ shares_memory
+
+ Examples
+ --------
+ >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
+ False
+ >>> x = np.zeros([3, 4])
+ >>> np.may_share_memory(x[:,0], x[:,1])
+ True
+
+ """)
+
+
add_newdoc('numpy.core.multiarray', 'ndarray', ('newbyteorder',
"""
arr.newbyteorder(new_order='S')