This commit is contained in:
2025-01-26 19:24:23 -08:00
parent 32cd60e92b
commit d1dde0dbc6
4155 changed files with 29170 additions and 216373 deletions

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@@ -93,7 +93,7 @@ CONFIG = _cleanup(
},
},
"Python Information": {
"path": r"/tmp/build-env-n2bkd7g5/bin/python",
"path": r"/tmp/build-env-17t143zw/bin/python",
"version": "3.12",
},
"SIMD Extensions": {

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@@ -151,6 +151,7 @@ cdef extern from "numpy/arrayobject.h":
NPY_COMPLEX512
NPY_INTP
NPY_UINTP
NPY_DEFAULT_INT # Not a compile time constant (normally)!
ctypedef enum NPY_ORDER:

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@@ -160,6 +160,7 @@ cdef extern from "numpy/arrayobject.h":
NPY_COMPLEX512
NPY_INTP
NPY_UINTP
NPY_DEFAULT_INT # Not a compile time constant (normally)!
ctypedef enum NPY_ORDER:

File diff suppressed because it is too large Load Diff

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@@ -1,15 +1,15 @@
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#ifdef __cplusplus
extern "C" {
#endif
#include "npy_common.h"
#include "npy_endian.h"
#include "npy_cpu.h"
#include "utils.h"
#ifdef __cplusplus
extern "C" {
#endif
#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
/* Always allow threading unless it was explicitly disabled at build time */

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@@ -3,5 +3,5 @@ includedir=${prefix}/include
Name: numpy
Description: NumPy is the fundamental package for scientific computing with Python.
Version: 2.2.0
Version: 2.2.2
Cflags: -I${includedir}

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@@ -872,15 +872,15 @@ def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...
@overload
def astype(
x: NDArray[Any],
x: ndarray[_ShapeType, dtype[Any]],
dtype: _DTypeLike[_SCT],
copy: bool = ...,
device: None | L["cpu"] = ...,
) -> NDArray[_SCT]: ...
) -> ndarray[_ShapeType, dtype[_SCT]]: ...
@overload
def astype(
x: NDArray[Any],
x: ndarray[_ShapeType, dtype[Any]],
dtype: DTypeLike,
copy: bool = ...,
device: None | L["cpu"] = ...,
) -> NDArray[Any]: ...
) -> ndarray[_ShapeType, dtype[Any]]: ...

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@@ -177,12 +177,9 @@ class _TypeCodes(TypedDict):
Datetime: L['Mm']
All: L['?bhilqnpBHILQNPefdgFDGSUVOMm']
def isdtype(
dtype: dtype[Any] | type[Any],
kind: DTypeLike | tuple[DTypeLike, ...],
) -> builtins.bool: ...
def isdtype(dtype: dtype[Any] | type[Any], kind: DTypeLike | tuple[DTypeLike, ...]) -> builtins.bool: ...
def issubdtype(arg1: DTypeLike, arg2: DTypeLike) -> bool: ...
def issubdtype(arg1: DTypeLike, arg2: DTypeLike) -> builtins.bool: ...
typecodes: _TypeCodes
ScalarType: tuple[

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