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Gwenaël Samain
cython
Commits
4171c1c0
Commit
4171c1c0
authored
Jul 06, 2018
by
scoder
Committed by
GitHub
Jul 06, 2018
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Merge pull request #2434 from gabrieldemarmiesse/test_memoryviews_6
Added tests for "typed memoryviews" part 6
parents
e4260c0a
96d5dbc3
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docs/examples/userguide/memoryviews/np_flag_const.pyx
docs/examples/userguide/memoryviews/np_flag_const.pyx
+7
-0
docs/src/userguide/memoryviews.rst
docs/src/userguide/memoryviews.rst
+2
-6
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docs/examples/userguide/memoryviews/np_flag_const.pyx
0 → 100644
View file @
4171c1c0
import
numpy
as
np
cdef
const
double
[:]
myslice
# const item type => read-only view
a
=
np
.
linspace
(
0
,
10
,
num
=
50
)
a
.
setflags
(
write
=
False
)
myslice
=
a
docs/src/userguide/memoryviews.rst
View file @
4171c1c0
...
@@ -161,13 +161,9 @@ Read-only views
...
@@ -161,13 +161,9 @@ Read-only views
---------------
---------------
Since Cython 0.28, the memoryview item type can be declared as ``const`` to
Since Cython 0.28, the memoryview item type can be declared as ``const`` to
support read-only buffers as input:
:
support read-only buffers as input:
cdef const double[:] myslice # const item type => read-only view
.. literalinclude:: ../../examples/userguide/memoryviews/np_flag_const.pyx
a = np.linspace(0, 10, num=50)
a.setflags(write=False)
myslice = a
Using a non-const memoryview with a binary Python string produces a runtime error.
Using a non-const memoryview with a binary Python string produces a runtime error.
You can solve this issue with a ``const`` memoryview:
You can solve this issue with a ``const`` memoryview:
...
...
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