Issues

New issue

Rank-typing
#539 · jorenham opened on May 4, 2025
2

docs for "who should be using numtype"
numpy/numtype#817 · opened on Jan 8, 2026
2
Explainer on what is supported
numpy/numtype#808 · opened on Dec 30, 2025
8
long pyright analysis times
Task
numpy/numtype#602 · opened on Aug 6, 2025
Reflected arithmetic binary ops don't accept list array-likes
Bug
numpy/numtype#589 · opened on Jun 23, 2025
1
remove the numpy._typing._ArrayLike aliases in favor of the ones in _numtype
Task
numpy/numtype#568 · opened on May 19, 2025
move the numpy._typing._char_codes literals to _numtype
Task
numpy/numtype#567 · opened on May 19, 2025
improve ndarray.__getitem__ with rank-typing
Feature
numpy/numtype#557 · opened on May 15, 2025
2
same_kind casting type-aliases
Feature
numpy/numtype#551 · opened on May 14, 2025
Rank-typing
Feature
numpy/numtype#539 · opened on May 4, 2025 · v2.4.x.0a1
2
simplify np.common_type with _numtype.Casts*
Task
numpy/numtype#520 · opened on Apr 15, 2025
simplify linalg._linalg function overloads with _numtype.Casts*
Feature
numpy/numtype#518 · opened on Apr 15, 2025
exhaustive type-test generation for _numtype.Casts*
Task
numpy/numtype#504 · opened on Apr 13, 2025 · v2.4.x.0a1
1
generate ndarray iop tests
Task
numpy/numtype#494 · opened on Apr 10, 2025
document the new ufunc infrastructure
Task
numpy/numtype#484 · opened on Apr 8, 2025
move test README.md into the contributor's guide
Task
numpy/numtype#457 · opened on Apr 1, 2025
type-test generation for subscripted datetime64 and timedelta64 operands
Task
numpy/numtype#417 · opened on Mar 27, 2025
annotate the missing private functions in numpy.linalg._linalg
Feature
numpy/numtype#367 · opened on Mar 21, 2025
generic numpy.polynomial classes
Feature
numpy/numtype#232 · opened on Mar 4, 2025
Annotating the ufuncs
Feature
numpy/numtype#230 · opened on Mar 3, 2025
1
ndarray.__matmul__ should return a scalar for 1d input
Bug
numpy/numtype#197 · opened on Feb 25, 2025
make ndindex generic on its shape-type
Feature
numpy/numtype#192 · opened on Feb 24, 2025
make numpy.vectorize (optionally) generic
Feature
numpy/numtype#183 · opened on Feb 24, 2025
narrower dtypes in numpy.lib._function_base_impl
Feature
numpy/numtype#180 · opened on Feb 24, 2025
shape-typing and narrower dtypes in numpy.lib._histograms_impl
Feature
numpy/numtype#179 · opened on Feb 24, 2025
shape-typing and narrower dtypes in numpy.lib._polynomial_impl
Feature
numpy/numtype#177 · opened on Feb 24, 2025

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Issues

Issues

docs for "who should be using numtype"

Explainer on what is supported

long pyright analysis times

Reflected arithmetic binary ops don't accept `list` array-likes

remove the `numpy._typing._ArrayLike` aliases in favor of the ones in `_numtype`

move the `numpy._typing._char_codes` literals to `_numtype`

improve `ndarray.getitem` with rank-typing

`same_kind` casting type-aliases

Rank-typing

simplify `np.common_type` with `_numtype.Casts*`

simplify `linalg._linalg` function overloads with `_numtype.Casts*`

exhaustive type-test generation for `_numtype.Casts*`

generate `ndarray` iop tests

document the new ufunc infrastructure

move test `README.md` into the contributor's guide

type-test generation for subscripted `datetime64` and `timedelta64` operands

annotate the missing private functions in `numpy.linalg._linalg`

generic `numpy.polynomial` classes

Annotating the ufuncs

`ndarray.matmul` should return a scalar for 1d input

make `ndindex` generic on its shape-type

make `numpy.vectorize` (optionally) generic

narrower dtypes in `numpy.lib._function_base_impl`

shape-typing and narrower dtypes in `numpy.lib._histograms_impl`

shape-typing and narrower dtypes in `numpy.lib._polynomial_impl`