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author | Johann Faouzi <johann.faouzi@gmail.com> | 2019-07-09 10:44:42 +0200 |
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committer | GitHub <noreply@github.com> | 2019-07-09 10:44:42 +0200 |
commit | b737f63c670bce1803e8248b15276ba74dabeb8c (patch) | |
tree | 447344f6a606806125efef0565ff2aca81dfab6b /numpy/doc/basics.py | |
parent | c920f98072226c1604d097bdd40db6c8a5a71f06 (diff) | |
download | numpy-b737f63c670bce1803e8248b15276ba74dabeb8c.tar.gz |
Update basics.py
Diffstat (limited to 'numpy/doc/basics.py')
-rw-r--r-- | numpy/doc/basics.py | 4 |
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 |