Merge branch 'm-paradox-implement_half_dtype'

1 files changed, 26 insertions, 8 deletions

diff --git a/doc/source/reference/c-api.ufunc.rst b/doc/source/reference/c-api.ufunc.rst
index 384a69cf7..f299251cb 100644
--- a/doc/source/reference/c-api.ufunc.rst
+++ b/doc/source/reference/c-api.ufunc.rst
@@ -234,18 +234,27 @@ structure.
 .. cfunction:: void PyUFunc_G_G(char** args, npy_intp* dimensions,
    npy_intp* steps, void* func)
 
+.. cfunction:: void PyUFunc_e_e(char** args, npy_intp* dimensions,
+   npy_intp* steps, void* func)
+
+.. cfunction:: void PyUFunc_e_e_As_f_f(char** args, npy_intp* dimensions,
+   npy_intp* steps, void* func)
+
+.. 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 ( ``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 but cast the values to
-    use an underlying function that takes a different data type. Thus,
-    :cfunc:`PyUFunc_f_f_As_d_d` uses ndarrays of data type :cdata:`NPY_FLOAT`
-    but calls out to a C-function that takes double and returns
-    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
+    but cast the values to use an underlying function that takes a
+    different data type. Thus, :cfunc:`PyUFunc_f_f_As_d_d` uses
+    ndarrays of data type :cdata:`NPY_FLOAT` but calls out to a
+    C-function that takes double and returns double.
 
 .. cfunction:: void PyUFunc_ff_f_As_dd_d(char** args, npy_intp* dimensions,
    npy_intp* steps, void* func)
@@ -271,6 +280,15 @@ structure.
 .. cfunction:: void PyUFunc_GG_G(char** args, npy_intp* dimensions,
    npy_intp* steps, void* func)
 
+.. cfunction:: void PyUFunc_ee_e(char** args, npy_intp* dimensions,
+   npy_intp* steps, void* func)
+
+.. cfunction:: void PyUFunc_ee_e_As_ff_f(char** args, npy_intp* dimensions,
+   npy_intp* steps, void* func)
+
+.. 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
     calculation is obtained by calling a function taking two input
     arguments and returning one output. The underlying function to