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| author | Eric Wieser <wieser.eric@gmail.com> | 2019-09-13 00:53:41 -0700 |
|---|---|---|
| committer | Eric Wieser <wieser.eric@gmail.com> | 2019-09-13 00:53:41 -0700 |
| commit | ff11d0127c5906be5bb67ec3fc86e075943124aa (patch) | |
| tree | 18e7b06d9b60c9de243f9b89542ea3ec2376b1eb /numpy/doc/basics.py | |
| parent | e4878891c848d0b1a46a310fd4a88fd7801b4fab (diff) | |
| parent | edf8a5f70bd946135a07bf8b1eada5feddef4b94 (diff) | |
| download | numpy-ff11d0127c5906be5bb67ec3fc86e075943124aa.tar.gz | |
Merge commit 'edf8a5f' into HEAD
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..1871512bf 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 |