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| author | Johann Faouzi <johann.faouzi@gmail.com> | 2019-07-09 10:59:08 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-07-09 10:59:08 +0200 |
| commit | 830d5b5fd712d4c27c3695b4a1c91d64561b683a (patch) | |
| tree | 6a0d14546846adb5afcef770592d4633fa4c2d08 /numpy/doc/basics.py | |
| parent | b737f63c670bce1803e8248b15276ba74dabeb8c (diff) | |
| download | numpy-830d5b5fd712d4c27c3695b4a1c91d64561b683a.tar.gz | |
Re-add double backlash
Diffstat (limited to 'numpy/doc/basics.py')
| -rw-r--r-- | numpy/doc/basics.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/basics.py b/numpy/doc/basics.py index 8633984cb..1871512bf 100644 --- a/numpy/doc/basics.py +++ b/numpy/doc/basics.py @@ -315,7 +315,7 @@ 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's -``long double``; in particular, the 128-bit IEEE quad precision +``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 |