venv
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@@ -93,7 +93,7 @@ CONFIG = _cleanup(
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},
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},
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"Python Information": {
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"path": r"/tmp/build-env-n2bkd7g5/bin/python",
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"path": r"/tmp/build-env-17t143zw/bin/python",
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"version": "3.12",
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},
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"SIMD Extensions": {
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@@ -151,6 +151,7 @@ cdef extern from "numpy/arrayobject.h":
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NPY_COMPLEX512
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NPY_INTP
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NPY_UINTP
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NPY_DEFAULT_INT # Not a compile time constant (normally)!
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ctypedef enum NPY_ORDER:
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@@ -160,6 +160,7 @@ cdef extern from "numpy/arrayobject.h":
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NPY_COMPLEX512
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NPY_INTP
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NPY_UINTP
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NPY_DEFAULT_INT # Not a compile time constant (normally)!
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ctypedef enum NPY_ORDER:
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@@ -1,15 +1,15 @@
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#ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
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#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
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#ifdef __cplusplus
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extern "C" {
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#endif
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#include "npy_common.h"
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#include "npy_endian.h"
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#include "npy_cpu.h"
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#include "utils.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
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/* Always allow threading unless it was explicitly disabled at build time */
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@@ -3,5 +3,5 @@ includedir=${prefix}/include
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Name: numpy
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Description: NumPy is the fundamental package for scientific computing with Python.
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Version: 2.2.0
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Version: 2.2.2
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Cflags: -I${includedir}
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@@ -872,15 +872,15 @@ def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...
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@overload
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def astype(
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x: NDArray[Any],
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x: ndarray[_ShapeType, dtype[Any]],
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dtype: _DTypeLike[_SCT],
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copy: bool = ...,
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device: None | L["cpu"] = ...,
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) -> NDArray[_SCT]: ...
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) -> ndarray[_ShapeType, dtype[_SCT]]: ...
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@overload
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def astype(
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x: NDArray[Any],
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x: ndarray[_ShapeType, dtype[Any]],
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dtype: DTypeLike,
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copy: bool = ...,
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device: None | L["cpu"] = ...,
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) -> NDArray[Any]: ...
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) -> ndarray[_ShapeType, dtype[Any]]: ...
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@@ -177,12 +177,9 @@ class _TypeCodes(TypedDict):
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Datetime: L['Mm']
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All: L['?bhilqnpBHILQNPefdgFDGSUVOMm']
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def isdtype(
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dtype: dtype[Any] | type[Any],
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kind: DTypeLike | tuple[DTypeLike, ...],
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) -> builtins.bool: ...
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def isdtype(dtype: dtype[Any] | type[Any], kind: DTypeLike | tuple[DTypeLike, ...]) -> builtins.bool: ...
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def issubdtype(arg1: DTypeLike, arg2: DTypeLike) -> bool: ...
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def issubdtype(arg1: DTypeLike, arg2: DTypeLike) -> builtins.bool: ...
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typecodes: _TypeCodes
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ScalarType: tuple[
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