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authorseberg <sebastian@sipsolutions.net>2017-08-14 10:48:58 +0200
committerGitHub <noreply@github.com>2017-08-14 10:48:58 +0200
commit22bd314b6e532ff54d3434959fea9d74d2073b44 (patch)
tree0a46a2513018800d4e4410dd1b62aabf208af525 /numpy/doc/basics.py
parentae17d2c93dfac88cca9859d8b49490deb3991f41 (diff)
parentd12b8d835708018fbb4e2ce5c6a6c3f9abd6bbb0 (diff)
downloadnumpy-22bd314b6e532ff54d3434959fea9d74d2073b44.tar.gz
Merge pull request #9552 from charris/fix-invalid-escape
DOC, BUG: Fix Python 3.6 invalid escape sequence.
Diffstat (limited to 'numpy/doc/basics.py')
-rw-r--r--numpy/doc/basics.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/doc/basics.py b/numpy/doc/basics.py
index d0d384a62..4d3ab046e 100644
--- a/numpy/doc/basics.py
+++ b/numpy/doc/basics.py
@@ -158,8 +158,8 @@ compiler's ``long double`` available as ``np.longdouble`` (and
numpy provides with ``np.finfo(np.longdouble)``.
NumPy does not provide a dtype with more precision than C
-``long double``\s; in particular, the 128-bit IEEE quad precision
-data type (FORTRAN's ``REAL*16``\) is not available.
+``long double``\\s; in particular, the 128-bit IEEE quad precision
+data type (FORTRAN's ``REAL*16``\\) is not available.
For efficient memory alignment, ``np.longdouble`` is usually stored
padded with zero bits, either to 96 or 128 bits. Which is more efficient