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Kirill Smelkov
cython
Commits
ff8e254e
Commit
ff8e254e
authored
Sep 10, 2019
by
Thomas VINCENT
Committed by
Stefan Behnel
Sep 10, 2019
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Add support of const fused type memory views (GH-3118)
parent
97f1bbde
Changes
4
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4 changed files
with
127 additions
and
12 deletions
+127
-12
Cython/Compiler/PyrexTypes.py
Cython/Compiler/PyrexTypes.py
+2
-0
tests/errors/fused_types.pyx
tests/errors/fused_types.pyx
+24
-10
tests/memoryview/numpy_memoryview_readonly.pyx
tests/memoryview/numpy_memoryview_readonly.pyx
+48
-2
tests/run/fused_types.pyx
tests/run/fused_types.pyx
+53
-0
No files found.
Cython/Compiler/PyrexTypes.py
View file @
ff8e254e
...
...
@@ -1573,6 +1573,8 @@ class PythranExpr(CType):
class
CConstOrVolatileType
(
BaseType
):
"A C const or volatile type"
subtypes
=
[
'cv_base_type'
]
is_cv_qualified
=
1
def
__init__
(
self
,
base_type
,
is_const
=
0
,
is_volatile
=
0
):
...
...
tests/errors/fused_types.pyx
View file @
ff8e254e
# mode: error
# ticket: 1772
cimport
cython
from
cython
import
fused_type
...
...
@@ -64,17 +65,30 @@ ctypedef fused fused2:
func
(
x
,
y
)
cdef
fused
mix_const_t
:
int
const
int
cdef
cdef
_func_with_mix_const_type
(
mix_const_t
val
):
print
(
val
)
# Mixing const and non-const type makes fused type ambiguous
cdef
_func_with_mix_const_type
(
1
)
_ERRORS
=
u"""
10:15: fused_type does not take keyword arguments
15:33: Type specified multiple times
26:0: Invalid use of fused types, type cannot be specialized
26:4: Not enough types specified to specialize the function, int2_t is still fused
11:15: fused_type does not take keyword arguments
16:33: Type specified multiple times
27:0: Invalid use of fused types, type cannot be specialized
27:4: Not enough types specified to specialize the function, int2_t is still fused
28:16: Call with wrong number of arguments (expected 2, got 1)
29:16: Call with wrong number of arguments (expected 2, got 3)
36:6: Invalid base type for memoryview slice: int *
39:0: Fused lambdas not allowed
42:5: Fused types not allowed here
45:9: Fused types not allowed here
28:0: Invalid use of fused types, type cannot be specialized
28:4: Not enough types specified to specialize the function, int2_t is still fused
29:16: Call with wrong number of arguments (expected 2, got 1)
30:16: Call with wrong number of arguments (expected 2, got 3)
37:6: Invalid base type for memoryview slice: int *
40:0: Fused lambdas not allowed
43:5: Fused types not allowed here
46:9: Fused types not allowed here
76:0: Invalid use of fused types, type cannot be specialized
76:29: ambiguous overloaded method
"""
tests/memoryview/numpy_memoryview_readonly.pyx
View file @
ff8e254e
# mode: run
# tag: readonly, const, numpy
# ticket: 1772
import
numpy
as
np
cimport
cython
def
new_array
():
return
np
.
arange
(
10
).
astype
(
'float'
)
def
new_array
(
dtype
=
'float'
,
writeable
=
True
):
array
=
np
.
arange
(
10
,
dtype
=
dtype
)
array
.
setflags
(
write
=
writeable
)
return
array
ARRAY
=
new_array
()
...
...
@@ -124,3 +128,45 @@ def test_copy():
rw
[
1
]
=
2
rw2
[
2
]
=
2
return
rw
[
0
],
rw
[
1
],
rw
[
2
],
rw2
[
0
],
rw2
[
1
],
rw2
[
2
]
cdef
getmax_floating
(
const
cython
.
floating
[:]
x
):
"""Function with fused type, should work with both ro and rw memoryviews"""
cdef
cython
.
floating
max_val
=
-
float
(
'inf'
)
for
val
in
x
:
if
val
>
max_val
:
max_val
=
val
return
max_val
def
test_mmview_const_fused_cdef
():
"""Test cdef function with const fused type memory view as argument.
>>> test_mmview_const_fused_cdef()
"""
cdef
float
[:]
data_rw
=
new_array
(
dtype
=
'float32'
)
assert
getmax_floating
(
data_rw
)
==
9
cdef
const
float
[:]
data_ro
=
new_array
(
dtype
=
'float32'
,
writeable
=
False
)
assert
getmax_floating
(
data_ro
)
==
9
def
test_mmview_const_fused_def
(
const
cython
.
floating
[:]
x
):
"""Test def function with const fused type memory view as argument.
With read-write numpy array:
>>> test_mmview_const_fused_def(new_array('float32', writeable=True))
0.0
>>> test_mmview_const_fused_def(new_array('float64', writeable=True))
0.0
With read-only numpy array:
>>> test_mmview_const_fused_def(new_array('float32', writeable=False))
0.0
>>> test_mmview_const_fused_def(new_array('float64', writeable=False))
0.0
"""
cdef
cython
.
floating
result
=
x
[
0
]
return
result
tests/run/fused_types.pyx
View file @
ff8e254e
# mode: run
# ticket: 1772
cimport
cython
from
cython.view
cimport
array
...
...
@@ -361,6 +362,22 @@ def test_fused_memslice_dtype_repeated_2(cython.floating[:] array1, cython.float
"""
print
cython
.
typeof
(
array1
),
cython
.
typeof
(
array2
),
cython
.
typeof
(
array3
)
def
test_fused_const_memslice_dtype_repeated
(
const
cython
.
floating
[:]
array1
,
cython
.
floating
[:]
array2
):
"""Test fused types memory view with one being const
>>> sorted(test_fused_const_memslice_dtype_repeated.__signatures__)
['double', 'float']
>>> test_fused_const_memslice_dtype_repeated(get_array(8, 'd'), get_array(8, 'd'))
const double[:] double[:]
>>> test_fused_const_memslice_dtype_repeated(get_array(4, 'f'), get_array(4, 'f'))
const float[:] float[:]
>>> test_fused_const_memslice_dtype_repeated(get_array(8, 'd'), get_array(4, 'f'))
Traceback (most recent call last):
ValueError: Buffer dtype mismatch, expected 'double' but got 'float'
"""
print
cython
.
typeof
(
array1
),
cython
.
typeof
(
array2
)
def
test_cython_numeric
(
cython
.
numeric
arg
):
"""
Test to see whether complex numbers have their utility code declared
...
...
@@ -386,6 +403,18 @@ def test_index_fused_args(cython.floating f, ints_t i):
"""
_test_index_fused_args
[
cython
.
floating
,
ints_t
](
f
,
i
)
cdef
_test_index_const_fused_args
(
const
cython
.
floating
f
,
const
ints_t
i
):
print
(
cython
.
typeof
(
f
),
cython
.
typeof
(
i
))
def
test_index_const_fused_args
(
const
cython
.
floating
f
,
const
ints_t
i
):
"""Test indexing function implementation with const fused type args
>>> import cython
>>> test_index_const_fused_args[cython.double, cython.int](2.0, 3)
('const double', 'const int')
"""
_test_index_const_fused_args
[
cython
.
floating
,
ints_t
](
f
,
i
)
def
test_composite
(
fused_composite
x
):
"""
...
...
@@ -400,3 +429,27 @@ def test_composite(fused_composite x):
return
x
else
:
return
2
*
x
cdef
cdef
_func_const_fused_arg
(
const
cython
.
floating
val
,
const
fused_type1
*
ptr_to_const
,
const
(
cython
.
floating
*
)
const_ptr
):
print
(
val
,
cython
.
typeof
(
val
))
print
(
ptr_to_const
[
0
],
cython
.
typeof
(
ptr_to_const
[
0
]))
print
(
const_ptr
[
0
],
cython
.
typeof
(
const_ptr
[
0
]))
ptr_to_const
=
NULL
# pointer is not const, value is const
const_ptr
[
0
]
=
0.0
# pointer is const, value is not const
def
test_cdef_func_with_const_fused_arg
():
"""Test cdef function with const fused type argument
>>> test_cdef_func_with_const_fused_arg()
(0.0, 'const float')
(1, 'const int')
(2.0, 'float')
"""
cdef
float
arg0
=
0.0
cdef
int
arg1
=
1
cdef
float
arg2
=
2.0
cdef
_func_const_fused_arg
(
arg0
,
&
arg1
,
&
arg2
)
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