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Kirill Smelkov
cython
Commits
831e3114
Commit
831e3114
authored
Nov 11, 2018
by
serge-sans-paille
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[pythran] properly handle power operator in pythran expression
parent
6178a049
Changes
3
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3 changed files
with
30 additions
and
8 deletions
+30
-8
Cython/Compiler/ExprNodes.py
Cython/Compiler/ExprNodes.py
+13
-6
Cython/Compiler/Pythran.py
Cython/Compiler/Pythran.py
+7
-2
tests/run/numpy_pythran_unit.pyx
tests/run/numpy_pythran_unit.pyx
+10
-0
No files found.
Cython/Compiler/ExprNodes.py
View file @
831e3114
...
...
@@ -11115,6 +11115,13 @@ class BinopNode(ExprNode):
if
self
.
type
.
is_pythran_expr
:
code
.
putln
(
"// Pythran binop"
)
code
.
putln
(
"__Pyx_call_destructor(%s);"
%
self
.
result
())
if
self
.
operator
==
'**'
:
code
.
putln
(
"new (&%s) decltype(%s){pythonic::numpy::functor::power{}(%s, %s)};"
%
(
self
.
result
(),
self
.
result
(),
self
.
operand1
.
pythran_result
(),
self
.
operand2
.
pythran_result
()))
else
:
code
.
putln
(
"new (&%s) decltype(%s){%s %s %s};"
%
(
self
.
result
(),
self
.
result
(),
...
...
Cython/Compiler/Pythran.py
View file @
831e3114
...
...
@@ -60,6 +60,10 @@ def type_remove_ref(ty):
def
pythran_binop_type
(
op
,
tA
,
tB
):
if
op
==
'**'
:
return
'decltype(pythonic::numpy::functor::power{}(std::declval<%s>(), std::declval<%s>()))'
%
(
pythran_type
(
tA
),
pythran_type
(
tB
))
else
:
return
"decltype(std::declval<%s>() %s std::declval<%s>())"
%
(
pythran_type
(
tA
),
op
,
pythran_type
(
tB
))
...
...
@@ -209,6 +213,7 @@ def include_pythran_generic(env):
env
.
add_include_file
(
"pythonic/python/core.hpp"
)
env
.
add_include_file
(
"pythonic/types/bool.hpp"
)
env
.
add_include_file
(
"pythonic/types/ndarray.hpp"
)
env
.
add_include_file
(
"pythonic/numpy/power.hpp"
)
env
.
add_include_file
(
"<new>"
)
# for placement new
for
i
in
(
8
,
16
,
32
,
64
):
...
...
tests/run/numpy_pythran_unit.pyx
View file @
831e3114
...
...
@@ -13,3 +13,13 @@ def trigo(np.ndarray[double, ndim=1] angles):
array([ 1., -1., 1.])
"""
return
np
.
cos
(
angles
)
def
power
(
np
.
ndarray
[
double
,
ndim
=
1
]
values
):
"""
>>> a = np.array([0., 1., 2.])
>>> res = power(a)
>>> res[0], res[1], res[2]
(0.0, 1.0, 8.0)
"""
return
values
**
3
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