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NumPy ufuncs #60

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jpivarski opened this issue Jan 14, 2020 · 1 comment
Closed

NumPy ufuncs #60

jpivarski opened this issue Jan 14, 2020 · 1 comment
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Also known as NEP 13.
@jpivarski jpivarski self-assigned this Jan 14, 2020
@jpivarski jpivarski added the feature New feature or request label Jan 14, 2020
jpivarski added a commit that referenced this issue Jan 18, 2020
@jpivarski
[WIP] For issue #60, NEP 13: allow NumPy ufuncs to be called on ak.Array
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Finished in PR #86.

jpivarski added a commit that referenced this issue Jan 21, 2020
@jpivarski
For issue #60, NEP 13: allow NumPy ufuncs to be called on ak.Array (#86)
ec2d8b7 
Implemented list-broadcasting in ufunc-handling, but there are no standalone broadcasting functions. It may be that they're not really needed after all, so close #66 for now.

* [WIP] For issue #60, NEP 13: allow NumPy ufuncs to be called on ak.Array

* Rename and split namespace -> classes and functions (LISP-2 style).

* Minimal example of a jagged ufunc works.

* Stubs to handle all array types in NEP13.

* Implemented and tested NEP13 for EmptyArray.

* Implemented and tested NEP13 for IndexedArray (not IndexedOffsetArray).

* Implemented and tested NEP13 for IndexedOptionArray.

* NumpyArray::regularize_shape for ensuring that we can work with RegularArrays at all levels.

* RegularArray broadcasting works.

* Better unwrapping.

* [skip ci] Half-done with ufunc for lists: compact_offsets64.

* [skip ci] Two-thirds-done with ufunc for lists: stubs for broadcast_tooffsets.

* [skip ci] Three-quarters-done with ufunc for lists: stubs for broadcast_tooffsets.

* [skip ci] Three-quarters-done with ufunc for lists: working on broadcast_tooffsets.

* [skip ci] Switch computers.

* Basic cases for broadcast_tooffsets work, but RegularArray of 1 (broadcasting non-jagged -> jagged) does not.

* List-broadcasting works in all cases.

* Union-combining works in all cases.

* Record-combining works.
ianna added a commit to ianna/awkward that referenced this issue Sep 10, 2024
@ianna @ohrechykha
chore: port to numpy 2.0 (scikit-hep#60)
a83deb4 
* move to local branch

* fix array_api import at test_spec_elementwise_functions.py

* adding _wrapper in ceil function at _spec_elementwise_functions.py

* implementing a wrapper to fix test errors

* fixing import, trying ceil & floor w\o wrapper

* pre-commit fixes

* reverting wrapper removal in floor and ceil

* fixing lower bound in the same PR

* fixing test errors for numpy 1.22

* skip wrapping of dtype in numpy 1

* adding helper file & floor, ceil tests for numpy 1 changes

* pre-commit changes

* fix: cleanup

* fix: prettyprint

* fix: pin numpy to a stable version for now

* revert changes

* fix: fix to numpy 2.0 stable version

* fix: ensure compatibility with numpy 2.0.0

* fix: pre-commit

* fix: numpy version

---------

Co-authored-by: ohrechykha <[email protected]>
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