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authorSebastian Berg <sebastian@sipsolutions.net>2022-02-22 19:19:08 -0800
committerGitHub <noreply@github.com>2022-02-22 19:19:08 -0800
commit41d37b714caa1eef72f984d529f1d40ed48ce535 (patch)
tree34fe085cab7083ac46c1613567f372b1e2efc2a6 /numpy/array_api/_array_object.py
parentda0de1b3e3a73705f44d9da8cc6c963a90bb4b87 (diff)
downloadnumpy-41d37b714caa1eef72f984d529f1d40ed48ce535.tar.gz
API: Fix `np.result_type(structured_dtype)` to "canonicalize" (#19346)
This means that the resulting dtype will have all canonical (native byte order) fields. Also the new fields will be ordered contiguously in memory without any additional space/padding unless it is necessary for alignment and the input dtype was `structured_dtype.isalignedstruct`.
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