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| author | Charles Harris <charlesr.harris@gmail.com> | 2017-08-12 12:57:04 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-08-12 12:57:04 -0500 |
| commit | 019212996b70e50a535755ea01dd40acd1a1335d (patch) | |
| tree | d9fca9c31152487f2440b780f3f03e11b70ba1a9 /numpy/doc | |
| parent | b094453b73a3bf707e2e9864f45f8357e759763c (diff) | |
| parent | 1f291b8eee4bd3d7a343f03617e5fac40d8dbb36 (diff) | |
| download | python-numpy-019212996b70e50a535755ea01dd40acd1a1335d.tar.gz python-numpy-019212996b70e50a535755ea01dd40acd1a1335d.tar.bz2 python-numpy-019212996b70e50a535755ea01dd40acd1a1335d.zip | |
Merge branch 'master' into fix-note-on-quad-prec
Diffstat (limited to 'numpy/doc')
| -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 4943aa227..d0d384a62 100644 --- a/numpy/doc/basics.py +++ b/numpy/doc/basics.py @@ -155,11 +155,11 @@ with 80-bit precision, and while most C compilers provide this as their ``long double`` identical to ``double`` (64 bits). NumPy makes the 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 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. +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 |