diff options
author | Mark Wiebe <mwwiebe@gmail.com> | 2010-11-27 16:45:12 -0800 |
---|---|---|
committer | Charles Harris <charlesr.harris@gmail.com> | 2010-12-01 20:02:16 -0700 |
commit | c6f8dbbd240ada8d0edd0527cd218cfc46deec41 (patch) | |
tree | 39b447663a83c021c34b8cdf32a3644e1bfe9ebc /doc/source/reference/c-api.ufunc.rst | |
parent | 9b72aa96cec9d182062f378fca869aaa303f1ca9 (diff) | |
download | numpy-c6f8dbbd240ada8d0edd0527cd218cfc46deec41.tar.gz |
ENH: Rename the half character code from 'j' to 'e'
Diffstat (limited to 'doc/source/reference/c-api.ufunc.rst')
-rw-r--r-- | doc/source/reference/c-api.ufunc.rst | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/doc/source/reference/c-api.ufunc.rst b/doc/source/reference/c-api.ufunc.rst index 27977de99..f299251cb 100644 --- a/doc/source/reference/c-api.ufunc.rst +++ b/doc/source/reference/c-api.ufunc.rst @@ -234,20 +234,20 @@ structure. .. cfunction:: void PyUFunc_G_G(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_j_j(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_e_e(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_j_j_As_f_f(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_e_e_As_f_f(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_j_j_As_d_d(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_e_e_As_d_d(char** args, npy_intp* dimensions, npy_intp* steps, void* func) Type specific, core 1-d functions for ufuncs where each calculation is obtained by calling a function taking one input argument and returning one output. This function is passed in ``func``. The letters correspond to dtypechar's of the supported - data types ( ``j`` - half, ``f`` - float, ``d`` - double, + data types ( ``e`` - half, ``f`` - float, ``d`` - double, ``g`` - long double, ``F`` - cfloat, ``D`` - cdouble, ``G`` - clongdouble). The argument *func* must support the same signature. The _As_X_X variants assume ndarray's of one data type @@ -280,13 +280,13 @@ structure. .. cfunction:: void PyUFunc_GG_G(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_jj_j(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_ee_e(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_jj_j_As_ff_f(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_ee_e_As_ff_f(char** args, npy_intp* dimensions, npy_intp* steps, void* func) -.. cfunction:: void PyUFunc_jj_j_As_dd_d(char** args, npy_intp* dimensions, +.. cfunction:: void PyUFunc_ee_e_As_dd_d(char** args, npy_intp* dimensions, npy_intp* steps, void* func) Type specific, core 1-d functions for ufuncs where each |