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authorJohann Faouzi <johann.faouzi@gmail.com>2019-07-09 10:44:42 +0200
committerGitHub <noreply@github.com>2019-07-09 10:44:42 +0200
commitb737f63c670bce1803e8248b15276ba74dabeb8c (patch)
tree447344f6a606806125efef0565ff2aca81dfab6b /numpy/doc/basics.py
parentc920f98072226c1604d097bdd40db6c8a5a71f06 (diff)
downloadnumpy-b737f63c670bce1803e8248b15276ba74dabeb8c.tar.gz
Update basics.py
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-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 7946c6432..8633984cb 100644
--- a/numpy/doc/basics.py
+++ b/numpy/doc/basics.py
@@ -314,8 +314,8 @@ compiler's ``long double`` available as ``np.longdouble`` (and
``np.clongdouble`` for the complex numbers). You can find out what your
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
+NumPy does not provide a dtype with more precision than C's
+``long double``; 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