8000 ENH: Make `np.number` generic with respect to its precision by BvB93 · Pull Request #17540 · numpy/numpy · GitHub
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ENH: Make np.number generic with respect to its precision #17540

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Merged
merged 12 commits into from
Oct 21, 2020
Merged

ENH: Make np.number generic with respect to its precision #17540

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c53797e
ENH: Added support for `number` precision
Oct 2, 2020
1816e44
ENH: Make `complexfloating` generic w.r.t 2 typevars
Oct 12, 2020
9e732c8
MAINT: Removed a now redundant `TODO` comment
Oct 12, 2020
fdf30fb
DOC: Fixed some docstring formatting
Oct 13, 2020
3ebabec
MAINT: Added a missing `__init__` method
Oct 16, 2020
a5f1757
MAINT: Fixed a few issues with the `__call__`-based protocols
Oct 16, 2020
b84946d
TST: Ignore all `*` characters in the reveal tests
Oct 16, 2020
27d5864
TST: Update the pre-existing tests
Oct 16, 2020
95a391c
TST: Add support for precision to the arithmetic and bitwise ops tests
Oct 16, 2020
3082bd7
TST: Added a test for the example in the `NBitBase` docstring
Oct 16, 2020
226b46b
MAINT: Removed an unused import
Oct 17, 2020
cd15084
TST: Update the tests introduced in the latest rebase
Oct 17, 2020
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TST: Added a test for the example in the NBitBase docstring
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Bas van Beek committed Oct 17, 2020
commit 3082bd7e6b23d6076cc6da8b526862019610202c
18 changes: 18 additions & 0 deletions numpy/typing/tests/data/reveal/nbit_base_example.py
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from typing import TypeVar, Union
import numpy as np
import numpy.typing as npt

T = TypeVar("T", bound=npt.NBitBase)

def add(a: np.floating[T], b: np.integer[T]) -> np.floating[T]:
return a + b

i8: np.int64
i4: np.int32
f8: np.float64
f4: np.float32

reveal_type(add(f8, i8)) # E: numpy.floating[numpy.typing._64Bit]
reveal_type(add(f4, i8)) # E: numpy.floating[numpy.typing._64Bit]
reveal_type(add(f8, i4)) # E: numpy.floating[numpy.typing._64Bit]
reveal_type(add(f4, i4)) # E: numpy.floating[numpy.typing._32Bit]
0