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| author | Matti Picus <matti.picus@gmail.com> | 2019-01-15 07:15:22 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-01-15 07:15:22 +0200 |
| commit | a4b450ddd71f6fc7efd1a1eff655122abaec2bdc (patch) | |
| tree | dcf7795568fa8da188de84d2c41f43d10660ca29 /doc | |
| parent | 7885b293398a5009ffc4bb961d4804b0af0b3e83 (diff) | |
| parent | 08a92de354f1f7592c7957f4aafe892f3d5a828a (diff) | |
| download | numpy-a4b450ddd71f6fc7efd1a1eff655122abaec2bdc.tar.gz | |
Merge pull request #12456 from eric-wieser/dtype_to_ctypes
ENH: Add np.ctypeslib.as_ctypes_type(dtype), improve `np.ctypeslib.as_ctypes`
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/1.17.0-notes.rst | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/doc/release/1.17.0-notes.rst b/doc/release/1.17.0-notes.rst index 10563f4c0..c79c966c7 100644 --- a/doc/release/1.17.0-notes.rst +++ b/doc/release/1.17.0-notes.rst @@ -73,6 +73,15 @@ maintains `O(N log N)` run time complexity instead of deteriorating towards `O(N*N)` for prime lengths. Also, accuracy for real-valued FFTs with near-prime lengths has improved and is on par with complex-valued FFTs. +Further improvements to ``ctypes`` support in ``np.ctypeslib`` +-------------------------------------------------------------- +A new ``np.ctypeslib.as_ctypes_type`` function has been added, which can be +used to converts a `dtype` into a best-guess `ctypes` type. Thanks to this +new function, ``np.ctypeslib.as_ctypes`` now supports a much wider range of +array types, including structures, booleans, and integers of non-native +endianness. + + Changes ======= |