10000 TYP: Avoid upcasting ``float64`` in the set-ops by charris · Pull Request #28243 · numpy/numpy · GitHub
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TYP: Avoid upcasting float64 in the set-ops #28243

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Jan 28, 2025
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TYP: Avoid upcasting float64 in the set-ops #28243

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TYP: Avoid upcasting float64 in the set-ops
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@jorenham @charris
jorenham authored and charris committed Jan 28, 2025
commit 3e5f2560d1581e87a0388eaee1244f04672324c1
96 changes: 26 additions & 70 deletions numpy/lib/_arraysetops_impl.pyi
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10000
Original file line number Diff line number Diff line change
Expand Up @@ -10,35 +10,7 @@ from typing import (
from typing_extensions import deprecated

import numpy as np
from numpy import (
generic,
number,
ushort,
ubyte,
uintc,
uint,
ulonglong,
short,
int8,
byte,
intc,
int_,
intp,
longlong,
half,
single,
double,
longdouble,
csingle,
cdouble,
clongdouble,
timedelta64,
datetime64,
object_,
str_,
bytes_,
void,
)
from numpy import generic, number, int8, intp, timedelta64, object_

from numpy._typing import (
ArrayLike,
Expand Down Expand Up @@ -75,33 +47,17 @@ _NumberType = TypeVar("_NumberType", bound=number[Any])
# Only relevant if two or more arguments are parametrized, (e.g. `setdiff1d`)
# which could result in, for example, `int64` and `float64`producing a
# `number[_64Bit]` array
_SCTNoCast = TypeVar(
"_SCTNoCast",
_EitherSCT = TypeVar(
"_EitherSCT",
np.bool,
ushort,
ubyte,
uintc,
uint,
ulonglong,
short,
byte,
intc,
int_,
longlong,
half,
single,
double,
longdouble,
csingle,
cdouble,
clongdouble,
timedelta64,
datetime64,
object_,
str_,
bytes_,
void,
)
np.int8, np.int16, np.int32, np.int64, np.intp,
np.uint8, np.uint16, np.uint32, np.uint64, np.uintp,
np.float16, np.float32, np.float64, np.longdouble,
np.complex64, np.complex128, np.clongdouble,
np.timedelta64, np.datetime64,
np.bytes_, np.str_, np.void, np.object_,
np.integer, np.floating, np.complexfloating, np.character,
) # fmt: skip

class UniqueAllResult(NamedTuple, Generic[_SCT]):
values: NDArray[_SCT]
Expand Down Expand Up @@ -339,11 +295,11 @@ def unique_values(x: ArrayLike, /) -> NDArray[Any]: ...

@overload
def intersect1d(
ar1: _ArrayLike[_SCTNoCast],
ar2: _ArrayLike[_SCTNoCast],
ar1: _ArrayLike[_EitherSCT],
ar2: _ArrayLike[_EitherSCT],
assume_unique: bool = ...,
return_indices: L[False] = ...,
) -> NDArray[_SCTNoCast]: ...
) -> NDArray[_EitherSCT]: ...
@overload
def intersect1d(
ar1: ArrayLike,
Expand All @@ -353,11 +309,11 @@ def intersect1d(
) -> NDArray[Any]: ...
@overload
def intersect1d(
ar1: _ArrayLike[_SCTNoCast],
ar2: _ArrayLike[_SCTNoCast],
ar1: _ArrayLike[_EitherSCT],
ar2: _ArrayLike[_EitherSCT],
assume_unique: bool = ...,
return_indices: L[True] = ...,
) -> tuple[NDArray[_SCTNoCast], NDArray[intp], NDArray[intp]]: ...
) -> tuple[NDArray[_EitherSCT], NDArray[intp], NDArray[intp]]: ...
@overload
def intersect1d(
ar1: ArrayLike,
Expand All @@ -368,10 +324,10 @@ def intersect1d(

@overload
def setxor1d(
ar1: _ArrayLike[_SCTNoCast],
ar2: _ArrayLike[_SCTNoCast],
ar1: _ArrayLike[_EitherSCT],
ar2: _ArrayLike[_EitherSCT],
assume_unique: bool = ...,
) -> NDArray[_SCTNoCast]: ...
) -> NDArray[_EitherSCT]: ...
@overload
def setxor1d(
ar1: ArrayLike,
Expand Down Expand Up @@ -400,9 +356,9 @@ def in1d(

@overload
def union1d(
ar1: _ArrayLike[_SCTNoCast],
ar2: _ArrayLike[_SCTNoCast],
) -> NDArray[_SCTNoCast]: ...
ar1: _ArrayLike[_EitherSCT],
ar2: _ArrayLike[_EitherSCT],
) -> NDArray[_EitherSCT]: ...
@overload
def union1d(
ar1: ArrayLike,
Expand All @@ -411,10 +367,10 @@ def union1d(

@overload
def setdiff1d(
ar1: _ArrayLike[_SCTNoCast],
ar2: _ArrayLike[_SCTNoCast],
ar1: _ArrayLike[_EitherSCT],
ar2: _ArrayLike[_EitherSCT],
assume_unique: bool = ...,
) -> NDArray[_SCTNoCast]: ...
) -> NDArray[_EitherSCT]: ...
@overload
def setdiff1d(
ar1: ArrayLike,
Expand Down
7 changes: 2 additions & 5 deletions numpy/typing/tests/data/reveal/arraysetops.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -2,10 +2,7 @@ from typing import Any

import numpy as np
import numpy.typing as npt
from numpy.lib._arraysetops_impl import (
UniqueAllResult, UniqueCountsResult, UniqueInverseResult
)
from numpy._typing import _64Bit
from numpy.lib._arraysetops_impl import UniqueAllResult, UniqueCountsResult, UniqueInverseResult

from typing_extensions import assert_type

Expand All @@ -28,7 +25,7 @@ assert_type(np.intersect1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datet
assert_type(np.intersect1d(AR_f8, AR_i8), npt.NDArray[Any])
assert_type(
np.intersect1d(AR_f8, AR_f8, return_indices=True),
tuple[npt.NDArray[np.floating[_64Bit]], npt.NDArray[np.intp], npt.NDArray[np.intp]],
tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]],
)

assert_type(np.setxor1d(AR_i8, AR_i8), npt.NDArray[np.int64])
Expand Down
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