diff --git a/pyproject.toml b/pyproject.toml
index 3d8fcf51..e22d2f66 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "numtype"
-version = "2.2.6.0.dev0"
+version = "2.3.0.0.dev0"
 description = "Experimental Typing Stubs for NumPy"
 readme = "README.md"
 authors = [
@@ -37,7 +37,7 @@ requires-python = ">=3.11"
 dependencies = []
 
     [project.optional-dependencies]
-    numpy = ["numpy>=2.2.6,<2.3"]
+    numpy = ["numpy>=2.3.0,<2.4"]
 
     [project.urls]
     Homepage = "https://numpy.org/"
@@ -48,11 +48,11 @@ dependencies = []
 
 [dependency-groups]
 numpy = ["numtype[numpy]"]
-lint = ["ruff>=0.11.12"]
+lint = ["ruff>=0.11.13"]
 pytest = [
     {include-group = "numpy"},
-    "pytest>=8.3.5",
-    "typing_extensions>=4.13.2",
+    "pytest>=8.4.0",
+    "typing_extensions>=4.14.0",
 ]
 list_and_test = [
     {include-group = "lint"},
diff --git a/src/numpy-stubs/__init__.pyi b/src/numpy-stubs/__init__.pyi
index cd6086df..4c38d70c 100644
--- a/src/numpy-stubs/__init__.pyi
+++ b/src/numpy-stubs/__init__.pyi
@@ -519,12 +519,12 @@ __all__ = [  # noqa: RUF022
     "bitwise_and", "bitwise_count", "bitwise_invert", "bitwise_left_shift", "bitwise_not", "bitwise_or",
     "bitwise_right_shift", "bitwise_xor", "block", "bool", "bool_", "broadcast", "busday_count", "busday_offset",
     "busdaycalendar", "byte", "bytes_", "can_cast", "cbrt", "cdouble", "ceil", "character", "choose", "clip",
-    "clongdouble", "complex128", "complex192", "complex256", "complex64", "complexfloating", "compress", "concat",
+    "clongdouble", "complex64", "complex128", "complex192", "complex256", "complexfloating", "compress", "concat",
     "concatenate", "conj", "conjugate", "convolve", "copysign", "copyto", "correlate", "cos", "cosh", "count_nonzero",
     "cross", "csingle", "cumprod", "cumsum", "cumulative_prod", "cumulative_sum", "datetime64", "datetime_as_string",
     "datetime_data", "deg2rad", "degrees", "diagonal", "divide", "divmod", "dot", "double", "dtype", "e", "einsum",
     "einsum_path", "empty", "empty_like", "equal", "errstate", "euler_gamma", "exp", "exp2", "expm1", "fabs", "finfo",
-    "flatiter", "flatnonzero", "flexible", "float128", "float16", "float32", "float64", "float96", "float_power",
+    "flatiter", "flatnonzero", "flexible", "float16", "float32", "float64", "float96", "float128", "float_power",
     "floating", "floor", "floor_divide", "fmax", "fmin", "fmod", "format_float_positional", "format_float_scientific",
     "frexp", "from_dlpack", "frombuffer", "fromfile", "fromfunction", "fromiter", "frompyfunc", "fromstring", "full",
     "full_like", "gcd", "generic", "geomspace", "get_printoptions", "getbufsize", "geterr", "geterrcall", "greater",
@@ -1046,7 +1046,7 @@ __NUMPY_SETUP__: Final = False
 __numpy_submodules__: Final[set[_SubModule]] = ...
 __former_attrs__: Final[_FormerAttrsDict] = ...
 __future_scalars__: Final[set[_FutureScalar]] = ...
-__array_api_version__: Final = "2023.12"
+__array_api_version__: Final = "2024.12"
 test: Final[PytestTester] = ...
 
 ###
@@ -3527,8 +3527,6 @@ class bool_(generic[_BoolItemT_co], Generic[_BoolItemT_co]):
     def __bool__(self, /) -> _BoolItemT_co: ...
     @override
     def __int__(self, /) -> L[0, 1]: ...
-    @deprecated("It will be an error for 'np.bool' scalars to be interpreted as an index in NumPy 2.3.0")
-    def __index__(self, /) -> L[0, 1]: ...
 
     #
     @overload
@@ -4735,13 +4733,6 @@ class complexfloating(inexact[complex]):
     @override
     def __abs__(self, /) -> floating: ...
 
-    #
-    @deprecated(
-        "The Python built-in `round` is deprecated for complex scalars, "
-        "and will raise a `TypeError` in a future release"
-    )
-    def __round__(self, /, ndigits: CanIndex | None = None) -> Self: ...
-
 class complex64(complexfloating):
     @overload
     def __init__(self, real: _ConvertibleToComplex | None = 0, /) -> None: ...
diff --git a/src/numpy-stubs/_core/__init__.pyi b/src/numpy-stubs/_core/__init__.pyi
index 0eca9ad1..d4953d3b 100644
--- a/src/numpy-stubs/_core/__init__.pyi
+++ b/src/numpy-stubs/_core/__init__.pyi
@@ -1,38 +1,63 @@
-from ._asarray import require  # noqa: I001
-from ._ufunc_config import (
-    errstate,
-    geterr, seterr,
-    geterrcall, seterrcall,
-    getbufsize, setbufsize,
-)  # fmt: skip
+from ._asarray import require
+from ._ufunc_config import errstate, getbufsize, geterr, geterrcall, setbufsize, seterr, seterrcall
 from .arrayprint import (
-    array2string, array_str, array_repr,
-    format_float_positional, format_float_scientific,
-    printoptions, get_printoptions, set_printoptions,
-)  # fmt: skip
+    array2string,
+    array_repr,
+    array_str,
+    format_float_positional,
+    format_float_scientific,
+    get_printoptions,
+    printoptions,
+    set_printoptions,
+)
 from .einsumfunc import einsum, einsum_path
 from .fromnumeric import (
-    all, any,
-    round, around,
-    min, amin, argmin,
-    max, amax, argmax,
-    sum, cumsum, cumulative_sum,
-    prod, cumprod, cumulative_prod,
-    sort, argsort,
-    partition, argpartition,
-    mean, std, var, ptp,
-    clip,
+    all,
+    amax,
+    amin,
+    any,
+    argmax,
+    argmin,
+    argpartition,
+    argsort,
+    around,
     choose,
+    clip,
     compress,
+    cumprod,
+    cumsum,
+    cumulative_prod,
+    cumulative_sum,
+    diagonal,
+    matrix_transpose,
+    max,
+    mean,
+    min,
+    ndim,
     nonzero,
+    partition,
+    prod,
+    ptp,
+    put,
+    ravel,
     repeat,
+    reshape,
+    resize,
+    round,
     searchsorted,
-    diagonal, trace,
-    shape, size, ndim,
-    reshape, resize, swapaxes, ravel, squeeze,
-    take, put,
-    transpose, transpose as permute_dims, matrix_transpose,
-)  # fmt: skip
+    shape,
+    size,
+    sort,
+    squeeze,
+    std,
+    sum,
+    swapaxes,
+    take,
+    trace,
+    transpose,
+    transpose as permute_dims,
+    var,
+)
 from .function_base import geomspace, linspace, logspace
 from .getlimits import finfo, iinfo
 from .memmap import memmap
@@ -112,72 +137,185 @@ from .numeric import (
     zeros_like,
 )
 from .numerictypes import (
-    ScalarType, sctypeDict, typecodes,
-    isdtype, issubdtype,
-    datetime_data, datetime_as_string,
-    busday_offset, busday_count, is_busday, busdaycalendar,
-
-    generic, number, integer, inexact, flexible,
-    signedinteger, unsignedinteger, floating, complexfloating, character,
-    bool, bool_,
-    int8, int16, int32, int64, byte, short, intc, intp, int_, long, longlong,
-    uint8, uint16, uint32, uint64, ubyte, ushort, uintc, uintp, uint, ulong, ulonglong,
-    float16, float32, float64, float96, float128, half, single, double, longdouble,
-    complex64, complex128, complex192, complex256, csingle, cdouble, clongdouble,
+    ScalarType,
+    bool,
+    bool_,
+    busday_count,
+    busday_offset,
+    busdaycalendar,
+    byte,
+    bytes_,
+    cdouble,
+    character,
+    clongdouble,
+    complex64,
+    complex128,
+    complex192,
+    complex256,
+    complexfloating,
+    csingle,
+    datetime64,
+    datetime_as_string,
+    datetime_data,
+    double,
+    flexible,
+    float16,
+    float32,
+    float64,
+    float96,
+    float128,
+    floating,
+    generic,
+    half,
+    inexact,
+    int8,
+    int16,
+    int32,
+    int64,
+    int_,
+    intc,
+    integer,
+    intp,
+    is_busday,
+    isdtype,
+    issubdtype,
+    long,
+    longdouble,
+    longlong,
+    number,
     object_,
-    bytes_, str_, void,
-    datetime64, timedelta64,
-)  # fmt: skip
+    sctypeDict,
+    short,
+    signedinteger,
+    single,
+    str_,
+    timedelta64,
+    typecodes,
+    ubyte,
+    uint,
+    uint8,
+    uint16,
+    uint32,
+    uint64,
+    uintc,
+    uintp,
+    ulong,
+    ulonglong,
+    unsignedinteger,
+    ushort,
+    void,
+)
 from .records import recarray, record
-from .shape_base import (
-    atleast_1d, atleast_2d, atleast_3d,
-    block,
-    stack, unstack,
-    vstack, hstack,
-)  # fmt: skip
+from .shape_base import atleast_1d, atleast_2d, atleast_3d, block, hstack, stack, unstack, vstack
 from .umath import (
-    e, euler_gamma, pi,
-
-    cos, cosh, arccos, arccos as acos, arccosh, arccosh as acosh,
-    sin, sinh, arcsin, arcsin as asin, arcsinh, arcsinh as asinh,
-    tan, tanh, arctan, arctan as atan, arctanh, arctanh as atanh,
-    arctan2, arctan2 as atan2,
-
-    equal, not_equal,
-    greater, greater_equal,
-    less, less_equal,
-
-    add, subtract,
-    multiply,
-    divide, true_divide, floor_divide,
-    power, power as pow, float_power,
-
-    bitwise_and, bitwise_or, bitwise_xor,
-    logical_not, logical_and, logical_or, logical_xor,
-    invert, invert as bitwise_invert,
-    left_shift, left_shift as bitwise_left_shift,
-    right_shift, right_shift as bitwise_right_shift,
-    mod, modf, fmod, divmod,
-    square, sqrt, cbrt,
-    absolute, absolute as abs, fabs,
-    conj, conjugate,
-    floor, ceil, trunc, rint,
-    positive, negative, heaviside,
-    reciprocal, remainder,
-    log, log2, log10, log1p, frexp,
-    exp, exp2, expm1, ldexp,
-    gcd, lcm,
-    hypot, logaddexp, logaddexp2,
-    isfinite, isinf, isnan, isnat,
-    deg2rad, rad2deg, degrees, radians,
-    fmin, fmax,
-    minimum, maximum,
-    sign, signbit, copysign,
-    nextafter, spacing,
-    matvec, vecmat,
+    absolute,
+    absolute as abs,
+    add,
+    arccos,
+    arccos as acos,
+    arccosh,
+    arccosh as acosh,
+    arcsin,
+    arcsin as asin,
+    arcsinh,
+    arcsinh as asinh,
+    arctan,
+    arctan as atan,
+    arctan2,
+    arctan2 as atan2,
+    arctanh,
+    arctanh as atanh,
+    bitwise_and,
     bitwise_count,
+    bitwise_or,
+    bitwise_xor,
+    cbrt,
+    ceil,
+    conj,
+    conjugate,
+    copysign,
+    cos,
+    cosh,
+    deg2rad,
+    degrees,
+    divide,
+    divmod,
+    e,
+    equal,
+    euler_gamma,
+    exp,
+    exp2,
+    expm1,
+    fabs,
+    float_power,
+    floor,
+    floor_divide,
+    fmax,
+    fmin,
+    fmod,
+    frexp,
     frompyfunc,
-)  # fmt: skip
+    gcd,
+    greater,
+    greater_equal,
+    heaviside,
+    hypot,
+    invert,
+    invert as bitwise_invert,
+    isfinite,
+    isinf,
+    isnan,
+    isnat,
+    lcm,
+    ldexp,
+    left_shift,
+    left_shift as bitwise_left_shift,
+    less,
+    less_equal,
+    log,
+    log1p,
+    log2,
+    log10,
+    logaddexp,
+    logaddexp2,
+    logical_and,
+    logical_not,
+    logical_or,
+    logical_xor,
+    matvec,
+    maximum,
+    minimum,
+    mod,
+    modf,
+    multiply,
+    negative,
+    nextafter,
+    not_equal,
+    pi,
+    positive,
+    power,
+    power as pow,
+    rad2deg,
+    radians,
+    reciprocal,
+    remainder,
+    right_shift,
+    right_shift as bitwise_right_shift,
+    rint,
+    sign,
+    signbit,
+    sin,
+    sinh,
+    spacing,
+    sqrt,
+    square,
+    subtract,
+    tan,
+    tanh,
+    true_divide,
+    trunc,
+    vecmat,
+)
 
 __all__ = [
     "False_",
diff --git a/src/numpy-stubs/_core/_exceptions.pyi b/src/numpy-stubs/_core/_exceptions.pyi
index 58e78014..ec75e5d2 100644
--- a/src/numpy-stubs/_core/_exceptions.pyi
+++ b/src/numpy-stubs/_core/_exceptions.pyi
@@ -5,7 +5,6 @@ from typing_extensions import TypeVar
 import _numtype as _nt
 import numpy as np
 from numpy import _CastingKind  # noqa: ICN003
-from numpy._utils import set_module as set_module
 
 ###
 
diff --git a/src/numpy-stubs/_core/numeric.pyi b/src/numpy-stubs/_core/numeric.pyi
index f81ef6af..aa3774b4 100644
--- a/src/numpy-stubs/_core/numeric.pyi
+++ b/src/numpy-stubs/_core/numeric.pyi
@@ -588,6 +588,7 @@ __all__ = [
     "zeros",
     "zeros_like",
 ]
+
 ###
 
 _T = TypeVar("_T")
diff --git a/src/numpy-stubs/_core/numerictypes.pyi b/src/numpy-stubs/_core/numerictypes.pyi
index 5f72fbcb..698aa653 100644
--- a/src/numpy-stubs/_core/numerictypes.pyi
+++ b/src/numpy-stubs/_core/numerictypes.pyi
@@ -1,42 +1,141 @@
-from builtins import bool as py_bool  # noqa: I001
+from builtins import bool as py_bool
 from typing import Final, Literal as L, TypedDict, type_check_only
 
 import numpy as np
-from numpy import (  # noqa: ICN003
-    dtype,
 
-    generic, number, integer, inexact, flexible,
-    signedinteger, unsignedinteger, floating, complexfloating, character,
-    bool, bool_,
-    int8, int16, int32, int64, byte, short, intc, intp, int_, long, longlong,
-    uint8, uint16, uint32, uint64, ubyte, ushort, uintc, uintp, uint, ulong, ulonglong,
-    float16, float32, float64, float96, float128, half, single, double, longdouble,
-    complex64, complex128, complex192, complex256, csingle, cdouble, clongdouble,
+# ruff: noqa: ICN003
+from numpy import (
+    bool,
+    bool_,
+    byte,
+    bytes_,
+    cdouble,
+    character,
+    clongdouble,
+    complex64,
+    complex128,
+    complex192,
+    complex256,
+    complexfloating,
+    csingle,
+    datetime64,
+    double,
+    dtype,
+    flexible,
+    float16,
+    float32,
+    float64,
+    float96,
+    float128,
+    floating,
+    generic,
+    half,
+    inexact,
+    int8,
+    int16,
+    int32,
+    int64,
+    int_,
+    intc,
+    integer,
+    intp,
+    long,
+    longdouble,
+    longlong,
+    number,
     object_,
-    bytes_, str_, void,
-    datetime64, timedelta64,
-)  # fmt: skip
+    short,
+    signedinteger,
+    single,
+    str_,
+    timedelta64,
+    ubyte,
+    uint,
+    uint8,
+    uint16,
+    uint32,
+    uint64,
+    uintc,
+    uintp,
+    ulong,
+    ulonglong,
+    unsignedinteger,
+    ushort,
+    void,
+)
 from numpy._typing import DTypeLike
 
 from ._type_aliases import sctypeDict as sctypeDict
 from .multiarray import busday_count, busday_offset, busdaycalendar, datetime_as_string, datetime_data, is_busday
 
-__all__ = [  # noqa: RUF022
-    "ScalarType", "typecodes",
-    "isdtype", "issubdtype",
-    "datetime_data", "datetime_as_string",
-    "busday_offset", "busday_count", "is_busday", "busdaycalendar",
-    "generic", "number", "integer", "inexact", "flexible",
-    "signedinteger", "unsignedinteger", "floating", "complexfloating", "character",
-    "bool", "bool_",
-    "int8", "int16", "int32", "int64", "byte", "short", "intc", "intp", "int_", "long", "longlong",
-    "uint8", "uint16", "uint32", "uint64", "ubyte", "ushort", "uintc", "uintp", "uint", "ulong", "ulonglong",
-    "float16", "float32", "float64", "float96", "float128", "half", "single", "double", "longdouble",
-    "complex64", "complex128", "complex192", "complex256", "csingle", "cdouble", "clongdouble",
+__all__ = [
+    "ScalarType",
+    "bool",
+    "bool_",
+    "busday_count",
+    "busday_offset",
+    "busdaycalendar",
+    "byte",
+    "bytes_",
+    "cdouble",
+    "character",
+    "clongdouble",
+    "complex64",
+    "complex128",
+    "complex192",
+    "complex256",
+    "complexfloating",
+    "csingle",
+    "datetime64",
+    "datetime_as_string",
+    "datetime_data",
+    "double",
+    "flexible",
+    "float16",
+    "float32",
+    "float64",
+    "float96",
+    "float128",
+    "floating",
+    "generic",
+    "half",
+    "inexact",
+    "int8",
+    "int16",
+    "int32",
+    "int64",
+    "int_",
+    "intc",
+    "integer",
+    "intp",
+    "is_busday",
+    "isdtype",
+    "issubdtype",
+    "long",
+    "longdouble",
+    "longlong",
+    "number",
     "object_",
-    "bytes_", "str_", "void",
-    "datetime64", "timedelta64",
-]  # fmt: skip
+    "short",
+    "signedinteger",
+    "single",
+    "str_",
+    "timedelta64",
+    "typecodes",
+    "ubyte",
+    "uint",
+    "uint8",
+    "uint16",
+    "uint32",
+    "uint64",
+    "uintc",
+    "uintp",
+    "ulong",
+    "ulonglong",
+    "unsignedinteger",
+    "ushort",
+    "void",
+]
 
 ###
 
diff --git a/src/numpy-stubs/_core/strings.pyi b/src/numpy-stubs/_core/strings.pyi
index d761297f..4f29ba39 100644
--- a/src/numpy-stubs/_core/strings.pyi
+++ b/src/numpy-stubs/_core/strings.pyi
@@ -62,6 +62,7 @@ __all__ = [
     "rjust",
     "rpartition",
     "rstrip",
+    "slice",
     "startswith",
     "str_len",
     "strip",
@@ -239,6 +240,32 @@ def translate(a: _nt.ToBytes_nd, table: str, deletechars: str | None = None) ->
 @overload
 def translate(a: _nt.ToString_nd, table: str, deletechars: str | None = None) -> _nt.StringArray: ...
 
+#
+@overload
+def slice(
+    a: _nt.ToStr_nd,
+    start: _nt.ToInteger_nd | None = None,
+    stop: _nt.ToInteger_nd | None = None,
+    step: _nt.ToInteger_nd | None = None,
+    /,
+) -> _StrND: ...
+@overload
+def slice(
+    a: _nt.ToBytes_nd,
+    start: _nt.ToInteger_nd | None = None,
+    stop: _nt.ToInteger_nd | None = None,
+    step: _nt.ToInteger_nd | None = None,
+    /,
+) -> _BytesND: ...
+@overload
+def slice(
+    a: _nt.ToString_nd,
+    start: _nt.ToInteger_nd | None = None,
+    stop: _nt.ToInteger_nd | None = None,
+    step: _nt.ToInteger_nd | None = None,
+    /,
+) -> _nt.StringArray: ...
+
 #
 @overload
 def lstrip(a: _nt.ToStr_nd, chars: _nt.ToStr_nd | None = None) -> _StrND: ...
diff --git a/src/numpy-stubs/_pyinstaller/hook-numpy.pyi b/src/numpy-stubs/_pyinstaller/hook-numpy.pyi
index 2642996d..6da4914d 100644
--- a/src/numpy-stubs/_pyinstaller/hook-numpy.pyi
+++ b/src/numpy-stubs/_pyinstaller/hook-numpy.pyi
@@ -1,13 +1,6 @@
 from typing import Final
 
-# from `PyInstaller.compat`
-is_conda: Final[bool]
-is_pure_conda: Final[bool]
+binaries: Final[list[tuple[str, str]]] = ...
 
-# from `PyInstaller.utils.hooks`
-def is_module_satisfies(requirements: str, version: None = None, version_attr: None = None) -> bool: ...
-
-binaries: Final[list[tuple[str, str]]]
-
-hiddenimports: Final[list[str]]
-excludedimports: Final[list[str]]
+hiddenimports: Final[list[str]] = ...
+excludedimports: Final[list[str]] = ...
diff --git a/src/numpy-stubs/compat/__init__.pyi b/src/numpy-stubs/compat/__init__.pyi
deleted file mode 100644
index 9b43adf7..00000000
--- a/src/numpy-stubs/compat/__init__.pyi
+++ /dev/null
@@ -1,55 +0,0 @@
-# NOTE: numpy.compat is deprecated since 1.26.0
-
-from numpy._utils._inspect import formatargspec, getargspec
-
-from .py3k import (
-    Path,
-    asbytes,
-    asbytes_nested,
-    asstr,
-    asunicode,
-    asunicode_nested,
-    basestring,
-    bytes,
-    contextlib_nullcontext,
-    getexception,
-    integer_types,
-    is_pathlib_path,
-    isfileobj,
-    long,
-    npy_load_module,
-    open_latin1,
-    os_PathLike,
-    os_fspath,
-    pickle,
-    sixu,
-    strchar,
-    unicode,
-)
-
-__all__ = [
-    "Path",
-    "asbytes",
-    "asbytes_nested",
-    "asstr",
-    "asunicode",
-    "asunicode_nested",
-    "basestring",
-    "bytes",
-    "contextlib_nullcontext",
-    "formatargspec",
-    "getargspec",
-    "getexception",
-    "integer_types",
-    "is_pathlib_path",
-    "isfileobj",
-    "long",
-    "npy_load_module",
-    "open_latin1",
-    "os_PathLike",
-    "os_fspath",
-    "pickle",
-    "sixu",
-    "strchar",
-    "unicode",
-]
diff --git a/src/numpy-stubs/compat/py3k.pyi b/src/numpy-stubs/compat/py3k.pyi
deleted file mode 100644
index fe52f046..00000000
--- a/src/numpy-stubs/compat/py3k.pyi
+++ /dev/null
@@ -1,100 +0,0 @@
-import io
-import pickle as pickle
-from _typeshed import FileDescriptorOrPath, Incomplete, OpenTextMode
-from builtins import bytes  # noqa: UP029
-from collections.abc import Iterable, Sequence
-from os import PathLike as os_PathLike, fspath as os_fspath  # noqa: ICN003
-from pathlib import Path as Path
-from types import ModuleType, TracebackType
-from typing import IO, Any, Final, Generic, TypeGuard, overload
-from typing_extensions import TypeIs, TypeVar
-
-__all__ = [
-    "Path",
-    "asbytes",
-    "asbytes_nested",
-    "asstr",
-    "asunicode",
-    "asunicode_nested",
-    "basestring",
-    "bytes",
-    "contextlib_nullcontext",
-    "getexception",
-    "integer_types",
-    "is_pathlib_path",
-    "isfileobj",
-    "long",
-    "npy_load_module",
-    "open_latin1",
-    "os_PathLike",
-    "os_fspath",
-    "pickle",
-    "sixu",
-    "strchar",
-    "unicode",
-]
-
-###
-
-_T = TypeVar("_T")
-_T_co = TypeVar("_T_co", covariant=True, default=None)
-
-###
-
-long = int
-unicode = str
-basestring = str
-integer_types: Final[tuple[type[int]]] = ...
-strchar: Final = "U"
-
-class contextlib_nullcontext(Generic[_T_co]):
-    enter_result: Incomplete
-    def __init__(self, /, enter_result: _T_co | None = None) -> None: ...
-    def __enter__(self, /) -> _T_co: ...
-    def __exit__(
-        self, cls: type[BaseException] | None, exc: BaseException | None, tb: TracebackType | None, /
-    ) -> None: ...
-
-#
-def asstr(s: object) -> str: ...
-def asunicode(s: object) -> str: ...
-def asbytes(s: object) -> bytes: ...
-
-#
-@overload
-def asbytes_nested(x: bytes | str) -> bytes: ...
-@overload
-def asbytes_nested(x: Iterable[bytes]) -> Sequence[bytes]: ...
-@overload
-def asbytes_nested(x: Iterable[Iterable[bytes]]) -> Sequence[Sequence[bytes]]: ...
-@overload
-def asbytes_nested(x: Iterable[object]) -> Any: ...
-
-#
-@overload
-def asunicode_nested(x: bytes | str) -> str: ...
-@overload
-def asunicode_nested(x: Iterable[bytes | str]) -> Sequence[str]: ...
-@overload
-def asunicode_nested(x: Iterable[object]) -> Sequence[Any]: ...
-
-# NOTE: don't use `TypeIs` here; even `f` is of this type, this function might still return `False`.
-def isfileobj(f: object) -> TypeGuard[io.FileIO | io.BufferedReader | io.BufferedWriter]: ...
-
-#
-def is_pathlib_path(obj: object) -> TypeIs[Path]: ...
-
-#
-@overload
-def open_latin1(filename: FileDescriptorOrPath, mode: OpenTextMode = "r") -> io.TextIOWrapper: ...
-@overload
-def open_latin1(filename: FileDescriptorOrPath, mode: str = "r") -> IO[Any]: ...
-
-#
-def sixu(s: _T) -> _T: ...
-
-#
-def getexception() -> BaseException: ...
-
-#
-def npy_load_module(name: str, fn: str, info: None = None) -> ModuleType: ...
diff --git a/src/numpy-stubs/core/numerictypes.pyi b/src/numpy-stubs/core/numerictypes.pyi
index 425cfd3c..4538af55 100644
--- a/src/numpy-stubs/core/numerictypes.pyi
+++ b/src/numpy-stubs/core/numerictypes.pyi
@@ -67,19 +67,71 @@ from numpy._core.numerictypes import (
     void,
 )
 
-__all__ = [  # noqa: RUF022
-    "ScalarType", "typecodes",
-    "isdtype", "issubdtype",
-    "datetime_data", "datetime_as_string",
-    "busday_offset", "busday_count", "is_busday", "busdaycalendar",
-    "generic", "number", "integer", "inexact", "flexible",
-    "signedinteger", "unsignedinteger", "floating", "complexfloating", "character",
-    "bool", "bool_",
-    "int8", "int16", "int32", "int64", "byte", "short", "intc", "intp", "int_", "long", "longlong",
-    "uint8", "uint16", "uint32", "uint64", "ubyte", "ushort", "uintc", "uintp", "uint", "ulong", "ulonglong",
-    "float16", "float32", "float64", "float96", "float128", "half", "single", "double", "longdouble",
-    "complex64", "complex128", "complex192", "complex256", "csingle", "cdouble", "clongdouble",
+__all__ = [
+    "ScalarType",
+    "bool",
+    "bool_",
+    "busday_count",
+    "busday_offset",
+    "busdaycalendar",
+    "byte",
+    "bytes_",
+    "cdouble",
+    "character",
+    "clongdouble",
+    "complex64",
+    "complex128",
+    "complex192",
+    "complex256",
+    "complexfloating",
+    "csingle",
+    "datetime64",
+    "datetime_as_string",
+    "datetime_data",
+    "double",
+    "flexible",
+    "float16",
+    "float32",
+    "float64",
+    "float96",
+    "float128",
+    "floating",
+    "generic",
+    "half",
+    "inexact",
+    "int8",
+    "int16",
+    "int32",
+    "int64",
+    "int_",
+    "intc",
+    "integer",
+    "intp",
+    "is_busday",
+    "isdtype",
+    "issubdtype",
+    "long",
+    "longdouble",
+    "longlong",
+    "number",
     "object_",
-    "bytes_", "str_", "void",
-    "datetime64", "timedelta64",
-]  # fmt: skip
+    "short",
+    "signedinteger",
+    "single",
+    "str_",
+    "timedelta64",
+    "typecodes",
+    "ubyte",
+    "uint",
+    "uint8",
+    "uint16",
+    "uint32",
+    "uint64",
+    "uintc",
+    "uintp",
+    "ulong",
+    "ulonglong",
+    "unsignedinteger",
+    "ushort",
+    "void",
+]
diff --git a/src/numpy-stubs/f2py/auxfuncs.pyi b/src/numpy-stubs/f2py/auxfuncs.pyi
index 9926f014..fb202231 100644
--- a/src/numpy-stubs/f2py/auxfuncs.pyi
+++ b/src/numpy-stubs/f2py/auxfuncs.pyi
@@ -9,6 +9,7 @@ from .cfuncs import errmess
 __all__ = [
     "applyrules",
     "containscommon",
+    "containsderivedtypes",
     "debugcapi",
     "dictappend",
     "errmess",
@@ -200,6 +201,7 @@ def isintent_aux(var: _Var) -> bool: ...
 
 #
 def containscommon(rout: _ROut) -> _Bool: ...
+def containsderivedtypes(rout: _ROut) -> L[0, 1]: ...
 def hasexternals(rout: _ROut) -> bool: ...
 def hasresultnote(rout: _ROut) -> _Bool: ...
 def hasbody(rout: _ROut) -> _Bool: ...
diff --git a/src/numpy-stubs/f2py/diagnose.pyi b/src/numpy-stubs/f2py/diagnose.pyi
index 29cc2b49..b88194ac 100644
--- a/src/numpy-stubs/f2py/diagnose.pyi
+++ b/src/numpy-stubs/f2py/diagnose.pyi
@@ -1,4 +1 @@
-from _typeshed import StrOrBytesPath
-
-def run_command(cmd: StrOrBytesPath) -> None: ...
 def run() -> None: ...
diff --git a/src/numpy-stubs/lib/__init__.pyi b/src/numpy-stubs/lib/__init__.pyi
index 82d200d5..b36d9659 100644
--- a/src/numpy-stubs/lib/__init__.pyi
+++ b/src/numpy-stubs/lib/__init__.pyi
@@ -2,11 +2,13 @@ from numpy._core.function_base import add_newdoc
 from numpy._core.multiarray import add_docstring, tracemalloc_domain
 
 from . import (
+    # all private submodules are accessible at runtime through `__getattr__`
     _array_utils_impl as _array_utils_impl,
     _arraypad_impl as _arraypad_impl,
     _arraysetops_impl as _arraysetops_impl,
     _arrayterator_impl as _arrayterator_impl,
     _datasource as _datasource,
+    _format_impl as _format_impl,
     _function_base_impl as _function_base_impl,
     _histograms_impl as _histograms_impl,
     _index_tricks_impl as _index_tricks_impl,
@@ -23,7 +25,7 @@ from . import (
     _utils_impl as _utils_impl,
     _version as _version,
     array_utils,
-    format as format,
+    format,
     introspect,
     mixins,
     npyio,
@@ -39,6 +41,7 @@ __all__ = [
     "add_docstring",
     "add_newdoc",
     "array_utils",
+    "format",
     "introspect",
     "mixins",
     "npyio",
diff --git a/src/numpy-stubs/lib/_arraysetops_impl.pyi b/src/numpy-stubs/lib/_arraysetops_impl.pyi
index e8525a52..4ca266f4 100644
--- a/src/numpy-stubs/lib/_arraysetops_impl.pyi
+++ b/src/numpy-stubs/lib/_arraysetops_impl.pyi
@@ -115,6 +115,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> _nt.Array[_ScalarT]: ...
 @overload
 def unique(
@@ -125,6 +126,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> _nt.Array[Any]: ...
 @overload
 def unique(
@@ -135,6 +137,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -145,6 +148,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -155,6 +159,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -165,6 +170,7 @@ def unique(
     return_counts: L[False] = False,
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -175,6 +181,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -185,6 +192,7 @@ def unique(
     return_counts: L[False] = False,
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -195,6 +203,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -205,6 +214,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -215,6 +225,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -225,6 +236,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -235,6 +247,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -245,6 +258,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -255,6 +269,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -265,6 +280,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -275,6 +291,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -285,6 +302,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -295,6 +313,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -305,6 +324,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -315,6 +335,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -325,6 +346,7 @@ def unique(
     return_counts: L[True],
     axis: CanIndex | None = None,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -335,6 +357,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[_ScalarT], _nt.Array[np.intp], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 @overload
 def unique(
@@ -345,6 +368,7 @@ def unique(
     axis: CanIndex | None = None,
     *,
     equal_nan: bool = True,
+    sorted: bool = True,
 ) -> tuple[_nt.Array[Any], _nt.Array[np.intp], _nt.Array[np.intp], _nt.Array[np.intp]]: ...
 
 #
diff --git a/src/numpy-stubs/lib/_format_impl.pyi b/src/numpy-stubs/lib/_format_impl.pyi
new file mode 100644
index 00000000..193a5624
--- /dev/null
+++ b/src/numpy-stubs/lib/_format_impl.pyi
@@ -0,0 +1,168 @@
+import io
+import os
+from _typeshed import SupportsRead, SupportsWrite
+from collections.abc import Mapping, Sequence
+from typing import Any, Final, Literal as L, TypeAlias, TypeGuard, TypedDict, overload, type_check_only
+from typing_extensions import TypeVar
+
+import _numtype as _nt
+import numpy as np
+from numpy import _AnyShapeT, _DTypeDescr  # noqa: ICN003
+from numpy._typing import DTypeLike, _DTypeLike
+
+from ._utils_impl import drop_metadata as drop_metadata
+
+__all__: list[str] = []
+
+###
+
+_ScalarT = TypeVar("_ScalarT", bound=np.generic)
+
+_ToDescr: TypeAlias = str | Sequence[tuple[str, str] | tuple[str, str, tuple[int, ...]]]
+_HeaderVersion: TypeAlias = tuple[L[1, 2, 3], L[0]]
+_MemmapMode: TypeAlias = L["r", "c", "r+", "w+"]
+_ArrayHeader: TypeAlias = tuple[tuple[int, ...], bool, np.dtype]
+
+@type_check_only
+class _HeaderDict_1_0(TypedDict):
+    shape: _nt.Shape
+    fortran_order: bool
+    descr: _DTypeDescr
+
+###
+
+EXPECTED_KEYS: Final[set[str]] = ...
+MAGIC_PREFIX: Final = b"\x93NUMPY"
+MAGIC_LEN: Final = 16
+ARRAY_ALIGN: Final = 64
+BUFFER_SIZE: Final = 262_144  # 2**18
+GROWTH_AXIS_MAX_DIGITS: Final = 21
+_MAX_HEADER_SIZE: Final = 10_000
+
+#
+def _check_version(version: _HeaderVersion | None) -> None: ...
+def _filter_header(s: str) -> str: ...
+def _wrap_header(header: str, version: _HeaderVersion) -> bytes: ...
+def _wrap_header_guess_version(header: str) -> bytes: ...
+def _read_bytes(fp: SupportsRead[bytes], size: int, error_template: str = "ran out of data") -> bytes: ...
+
+# NOTE: Don't use `TypeIs` here: It might still be of this IO type if `False` is returned
+def isfileobj(f: object) -> TypeGuard[io.FileIO | io.BufferedReader | io.BufferedWriter]: ...
+
+#
+def magic(major: int, minor: int) -> bytes: ...
+def read_magic(fp: SupportsRead[bytes]) -> tuple[int, int]: ...
+
+#
+def dtype_to_descr(dtype: np.dtype) -> _DTypeDescr | str: ...
+def descr_to_dtype(descr: _ToDescr) -> np.dtype: ...
+
+#
+@overload  # known dtype, known shape (positional)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode,
+    dtype: _DTypeLike[_ScalarT],
+    shape: _AnyShapeT,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    *,
+    max_header_size: int = 10_000,
+) -> np.memmap[_AnyShapeT, np.dtype[_ScalarT]]: ...
+@overload  # known dtype, known shape (keyword)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode = "r+",
+    *,
+    dtype: _DTypeLike[_ScalarT],
+    shape: _AnyShapeT,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    max_header_size: int = 10_000,
+) -> np.memmap[_AnyShapeT, np.dtype[_ScalarT]]: ...
+@overload  # unknown dtype, known shape (positional)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode,
+    dtype: DTypeLike | None,
+    shape: _AnyShapeT,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    *,
+    max_header_size: int = 10_000,
+) -> np.memmap[_AnyShapeT, np.dtype]: ...
+@overload  # unknown dtype, known shape (keyword)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode = "r+",
+    dtype: DTypeLike | None = None,
+    *,
+    shape: _AnyShapeT,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    max_header_size: int = 10_000,
+) -> np.memmap[_AnyShapeT, np.dtype]: ...
+@overload  # known dtype, unknown shape (positional)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode,
+    dtype: _DTypeLike[_ScalarT],
+    shape: tuple[int, ...] | None = None,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    *,
+    max_header_size: int = 10_000,
+) -> np.memmap[Any, np.dtype[_ScalarT]]: ...
+@overload  # known dtype, unknown shape (keyword)
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode = "r+",
+    *,
+    dtype: _DTypeLike[_ScalarT],
+    shape: tuple[int, ...] | None = None,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    max_header_size: int = 10_000,
+) -> np.memmap[Any, np.dtype[_ScalarT]]: ...
+@overload  # unknown dtype, unknown shape
+def open_memmap(
+    filename: str | os.PathLike[str],
+    mode: _MemmapMode = "r+",
+    dtype: DTypeLike | None = None,
+    shape: tuple[int, ...] | None = None,
+    fortran_order: bool = False,
+    version: _HeaderVersion | None = None,
+    *,
+    max_header_size: int = 10_000,
+) -> np.memmap[Any, np.dtype]: ...
+
+#
+def header_data_from_array_1_0(array: np.ndarray[Any, Any]) -> _HeaderDict_1_0: ...
+
+#
+def _read_array_header(
+    fp: SupportsRead[bytes], version: _HeaderVersion, max_header_size: int = 10_000
+) -> _ArrayHeader: ...
+def read_array_header_1_0(fp: SupportsRead[bytes], max_header_size: int = 10_000) -> _ArrayHeader: ...
+def read_array_header_2_0(fp: SupportsRead[bytes], max_header_size: int = 10_000) -> _ArrayHeader: ...
+def read_array(
+    fp: SupportsRead[bytes],
+    allow_pickle: bool = False,
+    pickle_kwargs: Mapping[str, object] | None = None,
+    *,
+    max_header_size: int = 10_000,
+) -> np.ndarray[Any, np.dtype]: ...
+
+#
+def _write_array_header(
+    fp: SupportsWrite[str], d: Mapping[str, str], version: _HeaderVersion | None = None
+) -> None: ...
+def write_array_header_1_0(fp: SupportsWrite[str], d: Mapping[str, str]) -> None: ...
+def write_array_header_2_0(fp: SupportsWrite[str], d: Mapping[str, str]) -> None: ...
+def write_array(
+    fp: SupportsWrite[str],
+    array: np.ndarray[Any, Any],
+    version: _HeaderVersion | None = None,
+    allow_pickle: bool = True,
+    pickle_kwargs: Mapping[str, object] | None = None,
+) -> None: ...
diff --git a/src/numpy-stubs/lib/_iotools.pyi b/src/numpy-stubs/lib/_iotools.pyi
index 0eb6849b..58a4cdc2 100644
--- a/src/numpy-stubs/lib/_iotools.pyi
+++ b/src/numpy-stubs/lib/_iotools.pyi
@@ -39,8 +39,9 @@ class LineSplitter:
     def autostrip(self, /, method: Callable[[_T], Iterable[str]]) -> Callable[[_T], list[str]]: ...
 
 class NameValidator:
-    defaultexcludelist: ClassVar[list[L["return", "file", "print"]]]
-    defaultdeletechars: ClassVar[set[str]]
+    defaultexcludelist: ClassVar[tuple[L["return"], L["file"], L["print"]]] = ...
+    defaultdeletechars: ClassVar[frozenset[str]] = ...
+
     excludelist: list[str]
     deletechars: set[str]
     case_converter: Callable[[str], str]
diff --git a/src/numpy-stubs/lib/_polynomial_impl.pyi b/src/numpy-stubs/lib/_polynomial_impl.pyi
index 23947213..cf61c02f 100644
--- a/src/numpy-stubs/lib/_polynomial_impl.pyi
+++ b/src/numpy-stubs/lib/_polynomial_impl.pyi
@@ -170,8 +170,6 @@ class poly1d(Generic[_ScalarT_co]):
     def __pow__(self, val: _nt.CoFloating_0d, /) -> poly1d: ...  # Integral floats are accepted
     def __truediv__(self, other: ArrayLike, /) -> poly1d: ...
     def __rtruediv__(self, other: ArrayLike, /) -> poly1d: ...
-    def __div__(self, other: ArrayLike, /) -> poly1d: ...
-    def __rdiv__(self, other: ArrayLike, /) -> poly1d: ...
 
     #
     @overload
diff --git a/src/numpy-stubs/lib/_shape_base_impl.pyi b/src/numpy-stubs/lib/_shape_base_impl.pyi
index b5712cd0..88f1f1c7 100644
--- a/src/numpy-stubs/lib/_shape_base_impl.pyi
+++ b/src/numpy-stubs/lib/_shape_base_impl.pyi
@@ -51,7 +51,7 @@ class _CanArrayWrap(Protocol):
 
 #
 def take_along_axis(
-    arr: _ScalarT | _nt.Array[_ScalarT], indices: _nt.Array[np.integer], axis: int | None
+    arr: _ScalarT | _nt.Array[_ScalarT], indices: _nt.Array[np.integer], axis: int | None = -1
 ) -> _nt.Array[_ScalarT]: ...
 
 #
diff --git a/src/numpy-stubs/lib/_user_array_impl.pyi b/src/numpy-stubs/lib/_user_array_impl.pyi
index 9d756104..37ab2558 100644
--- a/src/numpy-stubs/lib/_user_array_impl.pyi
+++ b/src/numpy-stubs/lib/_user_array_impl.pyi
@@ -1,7 +1,7 @@
 from _typeshed import Incomplete
 from types import EllipsisType
 from typing import Any, Generic, Self, SupportsIndex, TypeAlias, overload
-from typing_extensions import TypeAliasType, TypeVar, deprecated, override
+from typing_extensions import TypeAliasType, TypeVar, override
 
 import _numtype as _nt
 import numpy as np
@@ -125,11 +125,6 @@ class container(Generic[_ShapeT_co, _DTypeT_co]):
     def __rmul__(self, other: npt.ArrayLike, /) -> Incomplete: ...
     def __imul__(self, other: npt.ArrayLike, /) -> Self: ...
 
-    #
-    def __div__(self, other: npt.ArrayLike, /) -> Incomplete: ...
-    def __rdiv__(self, other: npt.ArrayLike, /) -> Incomplete: ...
-    def __idiv__(self, other: npt.ArrayLike, /) -> Self: ...
-
     #
     def __mod__(self, other: npt.ArrayLike, /) -> Incomplete: ...
     def __rmod__(self, other: npt.ArrayLike, /) -> Incomplete: ...
@@ -203,8 +198,6 @@ class container(Generic[_ShapeT_co, _DTypeT_co]):
 
     #
     def copy(self, /) -> Self: ...
-    @deprecated("tostring() is deprecated. Use tobytes() instead.")
-    def tostring(self, /) -> bytes: ...
     def tobytes(self, /) -> bytes: ...
     def byteswap(self, /) -> Self: ...
     def astype(self, /, typecode: _DTypeLike[_ScalarT]) -> _Container[_ScalarT, _ShapeT_co]: ...
diff --git a/src/numpy-stubs/lib/format.pyi b/src/numpy-stubs/lib/format.pyi
index 193a5624..c868abc5 100644
--- a/src/numpy-stubs/lib/format.pyi
+++ b/src/numpy-stubs/lib/format.pyi
@@ -1,168 +1,24 @@
-import io
-import os
-from _typeshed import SupportsRead, SupportsWrite
-from collections.abc import Mapping, Sequence
-from typing import Any, Final, Literal as L, TypeAlias, TypeGuard, TypedDict, overload, type_check_only
-from typing_extensions import TypeVar
-
-import _numtype as _nt
-import numpy as np
-from numpy import _AnyShapeT, _DTypeDescr  # noqa: ICN003
-from numpy._typing import DTypeLike, _DTypeLike
-
-from ._utils_impl import drop_metadata as drop_metadata
+from ._format_impl import (
+    ARRAY_ALIGN as ARRAY_ALIGN,
+    BUFFER_SIZE as BUFFER_SIZE,
+    EXPECTED_KEYS as EXPECTED_KEYS,
+    GROWTH_AXIS_MAX_DIGITS as GROWTH_AXIS_MAX_DIGITS,
+    MAGIC_LEN as MAGIC_LEN,
+    MAGIC_PREFIX as MAGIC_PREFIX,
+    descr_to_dtype as descr_to_dtype,
+    drop_metadata as drop_metadata,
+    dtype_to_descr as dtype_to_descr,
+    header_data_from_array_1_0 as header_data_from_array_1_0,
+    isfileobj as isfileobj,
+    magic as magic,
+    open_memmap as open_memmap,
+    read_array as read_array,
+    read_array_header_1_0 as read_array_header_1_0,
+    read_array_header_2_0 as read_array_header_2_0,
+    read_magic as read_magic,
+    write_array as write_array,
+    write_array_header_1_0 as write_array_header_1_0,
+    write_array_header_2_0 as write_array_header_2_0,
+)
 
 __all__: list[str] = []
-
-###
-
-_ScalarT = TypeVar("_ScalarT", bound=np.generic)
-
-_ToDescr: TypeAlias = str | Sequence[tuple[str, str] | tuple[str, str, tuple[int, ...]]]
-_HeaderVersion: TypeAlias = tuple[L[1, 2, 3], L[0]]
-_MemmapMode: TypeAlias = L["r", "c", "r+", "w+"]
-_ArrayHeader: TypeAlias = tuple[tuple[int, ...], bool, np.dtype]
-
-@type_check_only
-class _HeaderDict_1_0(TypedDict):
-    shape: _nt.Shape
-    fortran_order: bool
-    descr: _DTypeDescr
-
-###
-
-EXPECTED_KEYS: Final[set[str]] = ...
-MAGIC_PREFIX: Final = b"\x93NUMPY"
-MAGIC_LEN: Final = 16
-ARRAY_ALIGN: Final = 64
-BUFFER_SIZE: Final = 262_144  # 2**18
-GROWTH_AXIS_MAX_DIGITS: Final = 21
-_MAX_HEADER_SIZE: Final = 10_000
-
-#
-def _check_version(version: _HeaderVersion | None) -> None: ...
-def _filter_header(s: str) -> str: ...
-def _wrap_header(header: str, version: _HeaderVersion) -> bytes: ...
-def _wrap_header_guess_version(header: str) -> bytes: ...
-def _read_bytes(fp: SupportsRead[bytes], size: int, error_template: str = "ran out of data") -> bytes: ...
-
-# NOTE: Don't use `TypeIs` here: It might still be of this IO type if `False` is returned
-def isfileobj(f: object) -> TypeGuard[io.FileIO | io.BufferedReader | io.BufferedWriter]: ...
-
-#
-def magic(major: int, minor: int) -> bytes: ...
-def read_magic(fp: SupportsRead[bytes]) -> tuple[int, int]: ...
-
-#
-def dtype_to_descr(dtype: np.dtype) -> _DTypeDescr | str: ...
-def descr_to_dtype(descr: _ToDescr) -> np.dtype: ...
-
-#
-@overload  # known dtype, known shape (positional)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode,
-    dtype: _DTypeLike[_ScalarT],
-    shape: _AnyShapeT,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    *,
-    max_header_size: int = 10_000,
-) -> np.memmap[_AnyShapeT, np.dtype[_ScalarT]]: ...
-@overload  # known dtype, known shape (keyword)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode = "r+",
-    *,
-    dtype: _DTypeLike[_ScalarT],
-    shape: _AnyShapeT,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    max_header_size: int = 10_000,
-) -> np.memmap[_AnyShapeT, np.dtype[_ScalarT]]: ...
-@overload  # unknown dtype, known shape (positional)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode,
-    dtype: DTypeLike | None,
-    shape: _AnyShapeT,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    *,
-    max_header_size: int = 10_000,
-) -> np.memmap[_AnyShapeT, np.dtype]: ...
-@overload  # unknown dtype, known shape (keyword)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode = "r+",
-    dtype: DTypeLike | None = None,
-    *,
-    shape: _AnyShapeT,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    max_header_size: int = 10_000,
-) -> np.memmap[_AnyShapeT, np.dtype]: ...
-@overload  # known dtype, unknown shape (positional)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode,
-    dtype: _DTypeLike[_ScalarT],
-    shape: tuple[int, ...] | None = None,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    *,
-    max_header_size: int = 10_000,
-) -> np.memmap[Any, np.dtype[_ScalarT]]: ...
-@overload  # known dtype, unknown shape (keyword)
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode = "r+",
-    *,
-    dtype: _DTypeLike[_ScalarT],
-    shape: tuple[int, ...] | None = None,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    max_header_size: int = 10_000,
-) -> np.memmap[Any, np.dtype[_ScalarT]]: ...
-@overload  # unknown dtype, unknown shape
-def open_memmap(
-    filename: str | os.PathLike[str],
-    mode: _MemmapMode = "r+",
-    dtype: DTypeLike | None = None,
-    shape: tuple[int, ...] | None = None,
-    fortran_order: bool = False,
-    version: _HeaderVersion | None = None,
-    *,
-    max_header_size: int = 10_000,
-) -> np.memmap[Any, np.dtype]: ...
-
-#
-def header_data_from_array_1_0(array: np.ndarray[Any, Any]) -> _HeaderDict_1_0: ...
-
-#
-def _read_array_header(
-    fp: SupportsRead[bytes], version: _HeaderVersion, max_header_size: int = 10_000
-) -> _ArrayHeader: ...
-def read_array_header_1_0(fp: SupportsRead[bytes], max_header_size: int = 10_000) -> _ArrayHeader: ...
-def read_array_header_2_0(fp: SupportsRead[bytes], max_header_size: int = 10_000) -> _ArrayHeader: ...
-def read_array(
-    fp: SupportsRead[bytes],
-    allow_pickle: bool = False,
-    pickle_kwargs: Mapping[str, object] | None = None,
-    *,
-    max_header_size: int = 10_000,
-) -> np.ndarray[Any, np.dtype]: ...
-
-#
-def _write_array_header(
-    fp: SupportsWrite[str], d: Mapping[str, str], version: _HeaderVersion | None = None
-) -> None: ...
-def write_array_header_1_0(fp: SupportsWrite[str], d: Mapping[str, str]) -> None: ...
-def write_array_header_2_0(fp: SupportsWrite[str], d: Mapping[str, str]) -> None: ...
-def write_array(
-    fp: SupportsWrite[str],
-    array: np.ndarray[Any, Any],
-    version: _HeaderVersion | None = None,
-    allow_pickle: bool = True,
-    pickle_kwargs: Mapping[str, object] | None = None,
-) -> None: ...
diff --git a/src/numpy-stubs/lib/mixins.pyi b/src/numpy-stubs/lib/mixins.pyi
index 349facce..1f3f6730 100644
--- a/src/numpy-stubs/lib/mixins.pyi
+++ b/src/numpy-stubs/lib/mixins.pyi
@@ -19,6 +19,8 @@ _AnyArray: TypeAlias = np.ndarray[Any, np.dtype]
 # As such, only little type safety can be provided here.
 
 class NDArrayOperatorsMixin(Generic[_T_contra, _T_co]):
+    from numpy._core import umath as um  # noqa: PLC0415
+
     __slots__ = ()
 
     @type_check_only
diff --git a/src/numpy-stubs/linalg/lapack_lite.pyi b/src/numpy-stubs/linalg/lapack_lite.pyi
index a44c112b..79c40d90 100644
--- a/src/numpy-stubs/linalg/lapack_lite.pyi
+++ b/src/numpy-stubs/linalg/lapack_lite.pyi
@@ -57,6 +57,8 @@ class _ZUNGQR(TypedDict):
 
 _ilp64: Final[bool] = ...
 
+class LapackError(Exception): ...
+
 def dgelsd(
     m: int,
     n: int,
diff --git a/src/numpy-stubs/ma/core.pyi b/src/numpy-stubs/ma/core.pyi
index 199c3367..e4623e8e 100644
--- a/src/numpy-stubs/ma/core.pyi
+++ b/src/numpy-stubs/ma/core.pyi
@@ -12,7 +12,7 @@ from typing import (
     overload,
     type_check_only,
 )
-from typing_extensions import TypeVar, deprecated, override
+from typing_extensions import TypeVar, override
 
 import _numtype as _nt
 import numpy as np
@@ -437,7 +437,6 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     def __mul__(self, other: Incomplete, /) -> Incomplete: ...
     @override
     def __rmul__(self, other: Incomplete, /) -> Incomplete: ...
-    def __div__(self, other: Incomplete, /) -> Incomplete: ...
     @override
     def __truediv__(self, other: Incomplete, /) -> Incomplete: ...
     @override
@@ -456,7 +455,6 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     def __isub__(self, other: Incomplete, /) -> Self: ...
     @override
     def __imul__(self, other: Incomplete, /) -> Self: ...  # type: ignore[override]
-    def __idiv__(self, other: Incomplete, /) -> Self: ...
     @override
     def __ifloordiv__(self, other: Incomplete, /) -> Self: ...
     @override
@@ -657,9 +655,6 @@ class MaskedArray(np.ndarray[_ShapeT_co, _DTypeT_co]):
     def torecords(self) -> Incomplete: ...
     @override
     def tolist(self, fill_value: Incomplete | None = None) -> Incomplete: ...
-    @deprecated("tostring() is deprecated. Use tobytes() instead.")
-    @override
-    def tostring(self, /, fill_value: Incomplete | None = None, order: _OrderKACF = "C") -> bytes: ...  # type: ignore[override]  # pyright: ignore[reportIncompatibleMethodOverride]
     @override
     def tobytes(self, /, fill_value: Incomplete | None = None, order: _OrderKACF = "C") -> bytes: ...  # type: ignore[override]  # pyright: ignore[reportIncompatibleMethodOverride]
     @override
diff --git a/src/numpy-stubs/ma/timer_comparison.pyi b/src/numpy-stubs/ma/timer_comparison.pyi
deleted file mode 100644
index ddf32f50..00000000
--- a/src/numpy-stubs/ma/timer_comparison.pyi
+++ /dev/null
@@ -1,58 +0,0 @@
-from _typeshed import Incomplete
-
-pi: float = ...
-
-class ModuleTester:
-    module: Incomplete = ...
-    allequal: Incomplete = ...
-    arange: Incomplete = ...
-    array: Incomplete = ...
-    concatenate: Incomplete = ...
-    count: Incomplete = ...
-    equal: Incomplete = ...
-    filled: Incomplete = ...
-    getmask: Incomplete = ...
-    getmaskarray: Incomplete = ...
-    id: Incomplete = ...
-    inner: Incomplete = ...
-    make_mask: Incomplete = ...
-    masked: Incomplete = ...
-    masked_array: Incomplete = ...
-    masked_values: Incomplete = ...
-    mask_or: Incomplete = ...
-    nomask: Incomplete = ...
-    ones: Incomplete = ...
-    outer: Incomplete = ...
-    repeat: Incomplete = ...
-    resize: Incomplete = ...
-    sort: Incomplete = ...
-    take: Incomplete = ...
-    transpose: Incomplete = ...
-    zeros: Incomplete = ...
-    MaskType: Incomplete = ...
-    umath: Incomplete = ...
-    testnames: list[str] = ...
-
-    def __init__(self, module: Incomplete) -> None: ...
-    def assert_array_compare(
-        self,
-        comparison: Incomplete,
-        x: Incomplete,
-        y: Incomplete,
-        err_msg: str = ...,
-        header: str = ...,
-        fill_value: bool = ...,
-    ) -> None: ...
-    def assert_array_equal(self, x: Incomplete, y: Incomplete, err_msg: str = ...) -> None: ...
-
-    #
-    def test_0(self) -> None: ...
-    def test_1(self) -> None: ...
-    def test_2(self) -> None: ...
-    def test_3(self) -> None: ...
-    def test_4(self) -> None: ...
-    def test_5(self) -> None: ...
-    def test_6(self) -> None: ...
-    def test_7(self) -> None: ...
-    def test_99(self) -> None: ...
-    def test_A(self) -> None: ...
diff --git a/src/numpy-stubs/matlib.pyi b/src/numpy-stubs/matlib.pyi
index cbca5685..b317b407 100644
--- a/src/numpy-stubs/matlib.pyi
+++ b/src/numpy-stubs/matlib.pyi
@@ -4,8 +4,8 @@ import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
 
-# ruff: noqa: F401
-from numpy import (  # noqa: ICN003
+# ruff: noqa: ICN003
+from numpy import (
     False_,
     ScalarType,
     True_,
@@ -102,6 +102,7 @@ from numpy import (  # noqa: ICN003
     common_type,
     complex64,
     complex128,
+    complex192,
     complex256,
     complexfloating,
     compress,
@@ -178,6 +179,7 @@ from numpy import (  # noqa: ICN003
     float16,
     float32,
     float64,
+    float96,
     float128,
     float_power,
     floating,
@@ -507,7 +509,96 @@ from numpy import (  # noqa: ICN003
 from numpy._typing import _ArrayLike, _DTypeLike
 
 __all__ = ["rand", "randn", "repmat"]
-__all__ += np.__all__
+
+# keep in sync with `__init__.__all__`
+__all__ += [  # noqa: RUF022
+    # __numpy_submodules__
+    "char", "core", "ctypeslib", "dtypes", "exceptions", "f2py", "fft", "lib", "linalg", "ma", "polynomial", "random",
+    "rec", "strings", "test", "testing", "typing",
+    # _core.*
+    "False_", "ScalarType", "True_", "abs", "absolute", "acos", "acosh", "add", "all", "allclose", "amax", "amin",
+    "any", "arange", "arccos", "arccosh", "arcsin", "arcsinh", "arctan", "arctan2", "arctanh", "argmax", "argmin",
+    "argpartition", "argsort", "argwhere", "around", "array", "array2string", "array_equal", "array_equiv",
+    "array_repr", "array_str", "asanyarray", "asarray", "ascontiguousarray", "asfortranarray", "asin", "asinh",
+    "astype", "atan", "atan2", "atanh", "atleast_1d", "atleast_2d", "atleast_3d", "base_repr", "binary_repr",
+    "bitwise_and", "bitwise_count", "bitwise_invert", "bitwise_left_shift", "bitwise_not", "bitwise_or",
+    "bitwise_right_shift", "bitwise_xor", "block", "bool", "bool_", "broadcast", "busday_count", "busday_offset",
+    "busdaycalendar", "byte", "bytes_", "can_cast", "cbrt", "cdouble", "ceil", "character", "choose", "clip",
+    "clongdouble", "complex64", "complex128", "complex192", "complex256", "complexfloating", "compress", "concat",
+    "concatenate", "conj", "conjugate", "convolve", "copysign", "copyto", "correlate", "cos", "cosh", "count_nonzero",
+    "cross", "csingle", "cumprod", "cumsum", "cumulative_prod", "cumulative_sum", "datetime64", "datetime_as_string",
+    "datetime_data", "deg2rad", "degrees", "diagonal", "divide", "divmod", "dot", "double", "dtype", "e", "einsum",
+    "einsum_path", "empty", "empty_like", "equal", "errstate", "euler_gamma", "exp", "exp2", "expm1", "fabs", "finfo",
+    "flatiter", "flatnonzero", "flexible", "float16", "float32", "float64", "float96", "float128", "float_power",
+    "floating", "floor", "floor_divide", "fmax", "fmin", "fmod", "format_float_positional", "format_float_scientific",
+    "frexp", "from_dlpack", "frombuffer", "fromfile", "fromfunction", "fromiter", "frompyfunc", "fromstring", "full",
+    "full_like", "gcd", "generic", "geomspace", "get_printoptions", "getbufsize", "geterr", "geterrcall", "greater",
+    "greater_equal", "half", "heaviside", "hstack", "hypot", "identity", "iinfo", "indices", "inexact", "inf", "inner",
+    "int8", "int16", "int32", "int64", "int_", "intc", "integer", "intp", "invert", "is_busday", "isclose", "isdtype",
+    "isfinite", "isfortran", "isinf", "isnan", "isnat", "isscalar", "issubdtype", "lcm", "ldexp", "left_shift", "less",
+    "less_equal", "lexsort", "linspace", "little_endian", "log", "log10", "log1p", "log2", "logaddexp", "logaddexp2",
+    "logical_and", "logical_not", "logical_or", "logical_xor", "logspace", "long", "longdouble", "longlong", "matmul",
+    "matrix_transpose", "matvec", "max", "maximum", "may_share_memory", "mean", "memmap", "min", "min_scalar_type",
+    "minimum", "mod", "modf", "moveaxis", "multiply", "nan", "ndarray", "ndim", "nditer", "negative", "nested_iters",
+    "newaxis", "nextafter", "nonzero", "not_equal", "number", "object_", "ones", "ones_like", "outer", "partition",
+    "permute_dims", "pi", "positive", "pow", "power", "printoptions", "prod", "promote_types", "ptp", "put", "putmask",
+    "rad2deg", "radians", "ravel", "recarray", "reciprocal", "record", "remainder", "repeat", "require", "reshape",
+    "resize", "result_type", "right_shift", "rint", "roll", "rollaxis", "round", "sctypeDict", "searchsorted",
+    "set_printoptions", "setbufsize", "seterr", "seterrcall", "shape", "shares_memory", "short", "sign", "signbit",
+    "signedinteger", "sin", "single", "sinh", "size", "sort", "spacing", "sqrt", "square", "squeeze", "stack", "std",
+    "str_", "subtract", "sum", "swapaxes", "take", "tan", "tanh", "tensordot", "timedelta64", "trace", "transpose",
+    "true_divide", "trunc", "typecodes", "ubyte", "ufunc", "uint", "uint16", "uint32", "uint64", "uint64", "uint8",
+    "uintc", "uintp", "ulong", "ulonglong", "unsignedinteger", "unstack", "ushort", "var", "vdot", "vecdot", "vecmat",
+    "void", "vstack", "where", "zeros", "zeros_like",
+    # matrixlib.*
+    "matrix", "bmat", "asmatrix",
+    # lib._arraypad_impl.*
+    "pad",
+    # lib._arraysetops_impl.*
+    "ediff1d", "in1d", "intersect1d", "isin", "setdiff1d", "setxor1d", "union1d", "unique", "unique_all",
+    "unique_counts", "unique_inverse", "unique_values",
+    # lib._function_base_impl.*
+    "angle", "append", "asarray_chkfinite", "average", "bartlett", "bincount", "blackman", "copy", "corrcoef", "cov",
+    "delete", "diff", "digitize", "extract", "flip", "gradient", "hamming", "hanning", "i0", "insert", "interp",
+    "iterable", "kaiser", "median", "meshgrid", "percentile", "piecewise", "place", "quantile", "rot90", "select",
+    "sinc", "sort_complex", "trapezoid", "trapz", "trim_zeros", "unwrap", "vectorize",
+    # lib._histograms_impl.*
+    "histogram", "histogram_bin_edges", "histogramdd",
+    # lib._index_tricks_impl.*
+    "c_", "diag_indices", "diag_indices_from", "fill_diagonal", "index_exp", "ix_", "mgrid", "ndenumerate", "ndindex",
+    "ogrid", "r_", "ravel_multi_index", "s_", "unravel_index",
+    # lib._nanfunctions_impl.*
+    "nanargmax", "nanargmin", "nancumprod", "nancumsum", "nanmax", "nanmean", "nanmedian", "nanmin", "nanpercentile",
+    "nanprod", "nanquantile", "nanstd", "nansum", "nanvar",
+    # lib._npyio_impl.*
+    "fromregex", "genfromtxt", "load", "loadtxt", "packbits", "save", "savetxt", "savez", "savez_compressed",
+    "unpackbits",
+    # lib._polynomial_impl.*
+    "poly", "poly1d", "polyadd", "polyder", "polydiv", "polyfit", "polyint", "polymul", "polysub", "polyval", "roots",
+    # lib._scimath_impl
+    "emath",
+    # lib._shape_base_impl
+    "apply_along_axis", "apply_over_axes", "array_split", "row_stack", "column_stack", "dsplit", "dstack",
+    "expand_dims", "hsplit", "kron", "put_along_axis", "split", "take_along_axis", "tile", "vsplit",
+    # lib._stride_tricks_impl.*
+    "broadcast_arrays", "broadcast_shapes", "broadcast_to",
+    # lib._twodim_base_impl
+    "diag", "diagflat", "eye", "fliplr", "flipud", "histogram2d", "mask_indices", "tri", "tril", "tril_indices",
+    "tril_indices_from", "triu", "triu_indices", "triu_indices_from", "vander",
+    # lib._type_check_impl
+    "common_type", "imag", "iscomplex", "iscomplexobj", "isreal", "isrealobj", "mintypecode", "nan_to_num", "real",
+    "real_if_close", "typename",
+    # lib._ufunclike_impl
+    "fix", "isneginf", "isposinf",
+    # lib._utils_impl
+    "get_include", "info", "show_runtime",
+    # __config__.*
+    "show_config",
+    # _array_api_info.*
+    "__array_namespace_info__",
+    # version.*
+    "__version__",
+]  # fmt: skip
 
 ###
 
@@ -517,8 +608,6 @@ _Order: TypeAlias = Literal["C", "F"]
 
 ###
 
-# ruff: noqa: F811
-
 #
 @overload
 def empty(shape: int | tuple[int, int], dtype: None = None, order: _Order = "C") -> _Matrix[np.float64]: ...
diff --git a/src/numpy-stubs/polynomial/_polybase.pyi b/src/numpy-stubs/polynomial/_polybase.pyi
index 2fec926f..ce728fce 100644
--- a/src/numpy-stubs/polynomial/_polybase.pyi
+++ b/src/numpy-stubs/polynomial/_polybase.pyi
@@ -93,7 +93,6 @@ class ABCPolyBase(abc.ABC):
     def __rmul__(self, x: _AnyOther, /) -> Self: ...
     def __rtruediv__(self, x: _AnyOther, /) -> Self: ...
     def __rfloordiv__(self, x: _AnyOther, /) -> Self: ...
-    def __rdiv__(self, x: _AnyOther, /) -> Self: ...
     def __rmod__(self, x: _AnyOther, /) -> Self: ...
     def __rdivmod__(self, x: _AnyOther, /) -> tuple[Self, Self]: ...
     def __len__(self, /) -> int: ...
diff --git a/src/numpy-stubs/strings/__init__.pyi b/src/numpy-stubs/strings/__init__.pyi
index d5fcaa15..4a33ff05 100644
--- a/src/numpy-stubs/strings/__init__.pyi
+++ b/src/numpy-stubs/strings/__init__.pyi
@@ -36,6 +36,7 @@ from numpy._core.strings import (
     rjust,
     rpartition,
     rstrip,
+    slice,
     startswith,
     str_len,
     strip,
@@ -84,6 +85,7 @@ __all__ = [
     "rjust",
     "rpartition",
     "rstrip",
+    "slice",
     "startswith",
     "str_len",
     "strip",
diff --git a/src/numpy-stubs/testing/_private/extbuild.pyi b/src/numpy-stubs/testing/_private/extbuild.pyi
index 609a45e7..4820f009 100644
--- a/src/numpy-stubs/testing/_private/extbuild.pyi
+++ b/src/numpy-stubs/testing/_private/extbuild.pyi
@@ -1,6 +1,6 @@
 import pathlib
 import types
-from collections.abc import Sequence
+from collections.abc import Iterable, Sequence
 
 __all__ = ["build_and_import_extension", "compile_extension_module"]
 
@@ -10,16 +10,24 @@ def build_and_import_extension(
     *,
     prologue: str = "",
     build_dir: pathlib.Path | None = None,
-    include_dirs: Sequence[str] = [],
+    include_dirs: Sequence[str] | None = None,
     more_init: str = "",
 ) -> types.ModuleType: ...
-
-#
 def compile_extension_module(
     name: str,
     builddir: pathlib.Path,
     include_dirs: Sequence[str],
     source_string: str,
-    libraries: Sequence[str] = [],
-    library_dirs: Sequence[str] = [],
+    libraries: Sequence[str] | None = None,
+    library_dirs: Sequence[str] | None = None,
 ) -> pathlib.Path: ...
+def build(
+    cfile: pathlib.Path,
+    outputfilename: pathlib.Path,
+    compile_extra: str,
+    link_extra: str,
+    include_dirs: str,
+    libraries: object,  # unused
+    library_dirs: Iterable[str],
+) -> pathlib.Path: ...  # undocumented
+def get_so_suffix() -> str: ...  # undocumented
diff --git a/src/numpy-stubs/testing/_private/utils.pyi b/src/numpy-stubs/testing/_private/utils.pyi
index 0c4d7008..5219591e 100644
--- a/src/numpy-stubs/testing/_private/utils.pyi
+++ b/src/numpy-stubs/testing/_private/utils.pyi
@@ -166,14 +166,14 @@ if sys.platform != "win32" and sys.platform != "cygwin" and sys.platform != "lin
     def memusage() -> NoReturn: ...
 
 elif sys.platform == "win32" or sys.platform == "cygwin":
-    def memusage(processName: str = ..., instance: int = ...) -> int: ...
+    def memusage(processName: str = "python", instance: int = 0) -> int: ...
 
 else:
-    def memusage(_proc_pid_stat: StrOrBytesPath = ...) -> int | None: ...
+    def memusage(_proc_pid_stat: StrOrBytesPath | None = None) -> int | None: ...
 
 #
 if sys.platform == "linux":
-    def jiffies(_proc_pid_stat: StrOrBytesPath = ..., _load_time: list[float] = []) -> int: ...
+    def jiffies(_proc_pid_stat: StrOrBytesPath | None = None, _load_time: list[float] | None = None) -> int: ...
 
 else:
     def jiffies(_load_time: list[float] = []) -> int: ...
diff --git a/tool/allowlists/common.txt b/tool/allowlists/common.txt
index f462cea5..7e077d5e 100644
--- a/tool/allowlists/common.txt
+++ b/tool/allowlists/common.txt
@@ -2,14 +2,12 @@
 numpy\.__numtype__
 numpy\._typing.*
 numpy\.typing\.NBitBase
+numpy\.typing\.mypy_plugin
 
 # internal testing code
 numpy\.conftest
-numpy(\.\w+)?\.tests.*
 numpy\.random\._generator\.__test__
-
-# workaround for the `dtype.type` generic class-attribute that's `None` unless instantiated
-numpy(\..+)?\.dtype\.type
+numpy(\.\w+)?\.tests.*
 
 # system-dependent extended precision types
 numpy(\..+)?\.float(96|128)
@@ -25,14 +23,11 @@ numpy\.matlib\.__all__
 # requires numpy/_core/code_generators to be on the PYTHONPATH when running stubtest
 numpy\._core\.cversions
 
-# mypy plugin
-numpy\.typing\.mypy_plugin
-
 # raises SystemExit on import
 numpy\.f2py\.__main__
 
+# workaround for the `dtype.type` generic class-attribute that's `None` unless instantiated
+numpy(\..+)?\.dtype\.type
+
 # does not exist
 numpy\.distutils\.\w+
-
-# stdlib re-exports with incorrect typeshed stubs
-numpy\.compat(\.py3k)?\.os_PathLike\.__class_getitem__
diff --git a/tool/allowlists/lt-py312.txt b/tool/allowlists/lt-py312.txt
index 71953064..5eafa0b2 100644
--- a/tool/allowlists/lt-py312.txt
+++ b/tool/allowlists/lt-py312.txt
@@ -1,8 +1,5 @@
 # python < 3.12
 
-# blame typeshed
-numpy\.compat(\.py3k)?\.bytes\.__buffer__
-
 # distutils is deprecated and does not exist on python>=3.12
 numpy\.distutils\.command\.\w+
 numpy\.distutils\.fcompiler\.\w+
diff --git a/tool/stubtest.py.lock b/tool/stubtest.py.lock
index 8abefdbe..0b4ece97 100644
--- a/tool/stubtest.py.lock
+++ b/tool/stubtest.py.lock
@@ -41,15 +41,15 @@ wheels = [
 
 [[package]]
 name = "hypothesis"
-version = "6.132.0"
+version = "6.135.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "attrs" },
     { name = "sortedcontainers" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/35/ff/8a67f7217f86d0bc597a2d8c958b273729592d5b2cb40430506b8fb4acbd/hypothesis-6.132.0.tar.gz", hash = "sha256:55868060add41baa6176ed9c3456655678d140c74e3514bdf03381dae6391403", size = 444710, upload-time = "2025-05-31T19:48:03.798Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/77/d5/f569c4f93c84b7f8ea147da6100050a36940a0ece799887bcd75b554f2ad/hypothesis-6.135.1.tar.gz", hash = "sha256:36eea411ef5dde5612301fcd9a293b6f2a3a5ab96488be2e23e7c5799cbd7b33", size = 449455, upload-time = "2025-06-05T22:08:12.353Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/36/16/92696e0da87d9799e22742afdd44978440c7a5738191929def39fc8115ac/hypothesis-6.132.0-py3-none-any.whl", hash = "sha256:9d11f81664c0688d27d37c871cee8baf4349383cf9ef9938ef6b3ae836962595", size = 509522, upload-time = "2025-05-31T19:47:59.556Z" },
+    { url = "https://files.pythonhosted.org/packages/30/15/4bcd915f4bd747bb258482d8e705ef27a1584b7744e26bec72a9289a6e4f/hypothesis-6.135.1-py3-none-any.whl", hash = "sha256:14fab728bfe2409a3934e6e1ea6ae0a706d0bc78187137218a253aec7528b4c8", size = 515130, upload-time = "2025-06-05T22:08:08.467Z" },
 ]
 
 [[package]]
@@ -121,55 +121,65 @@ wheels = [
 
 [[package]]
 name = "numpy"
-version = "2.2.6"
+version = "2.3.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz", hash = "sha256:581f87f9e9e9db2cba2141400e160e9dd644ee248788d6f90636eeb8fd9260a6", size = 20382813, upload-time = "2025-06-07T14:54:32.608Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" },
-    { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" },
-    { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" },
-    { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" },
-    { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" },
-    { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" },
-    { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" },
-    { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" },
-    { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" },
-    { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" },
-    { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" },
-    { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" },
-    { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" },
-    { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" },
-    { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" },
-    { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" },
-    { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" },
-    { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" },
-    { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" },
-    { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" },
-    { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" },
-    { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" },
-    { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" },
-    { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" },
-    { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" },
-    { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" },
-    { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/5f/df67435257d827eb3b8af66f585223dc2c3f2eb7ad0b50cb1dae2f35f494/numpy-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c3c9fdde0fa18afa1099d6257eb82890ea4f3102847e692193b54e00312a9ae9", size = 21199688, upload-time = "2025-06-07T14:36:52.067Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/ce/aad219575055d6c9ef29c8c540c81e1c38815d3be1fe09cdbe53d48ee838/numpy-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46d16f72c2192da7b83984aa5455baee640e33a9f1e61e656f29adf55e406c2b", size = 14359277, upload-time = "2025-06-07T14:37:15.325Z" },
+    { url = "https://files.pythonhosted.org/packages/29/6b/2d31da8e6d2ec99bed54c185337a87f8fbeccc1cd9804e38217e92f3f5e2/numpy-2.3.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a0be278be9307c4ab06b788f2a077f05e180aea817b3e41cebbd5aaf7bd85ed3", size = 5376069, upload-time = "2025-06-07T14:37:25.636Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/2a/6c59a062397553ec7045c53d5fcdad44e4536e54972faa2ba44153bca984/numpy-2.3.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:99224862d1412d2562248d4710126355d3a8db7672170a39d6909ac47687a8a4", size = 6913057, upload-time = "2025-06-07T14:37:37.215Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/5a/8df16f258d28d033e4f359e29d3aeb54663243ac7b71504e89deeb813202/numpy-2.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2393a914db64b0ead0ab80c962e42d09d5f385802006a6c87835acb1f58adb96", size = 14568083, upload-time = "2025-06-07T14:37:59.337Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/92/0528a563dfc2cdccdcb208c0e241a4bb500d7cde218651ffb834e8febc50/numpy-2.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:7729c8008d55e80784bd113787ce876ca117185c579c0d626f59b87d433ea779", size = 16929402, upload-time = "2025-06-07T14:38:24.343Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/2f/e7a8c8d4a2212c527568d84f31587012cf5497a7271ea1f23332142f634e/numpy-2.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:06d4fb37a8d383b769281714897420c5cc3545c79dc427df57fc9b852ee0bf58", size = 15879193, upload-time = "2025-06-07T14:38:48.007Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/c3/dada3f005953847fe35f42ac0fe746f6e1ea90b4c6775e4be605dcd7b578/numpy-2.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c39ec392b5db5088259c68250e342612db82dc80ce044cf16496cf14cf6bc6f8", size = 18665318, upload-time = "2025-06-07T14:39:15.794Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/ae/3f448517dedefc8dd64d803f9d51a8904a48df730e00a3c5fb1e75a60620/numpy-2.3.0-cp311-cp311-win32.whl", hash = "sha256:ee9d3ee70d62827bc91f3ea5eee33153212c41f639918550ac0475e3588da59f", size = 6601108, upload-time = "2025-06-07T14:39:27.176Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/4a/556406d2bb2b9874c8cbc840c962683ac28f21efbc9b01177d78f0199ca1/numpy-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:43c55b6a860b0eb44d42341438b03513cf3879cb3617afb749ad49307e164edd", size = 13021525, upload-time = "2025-06-07T14:39:46.637Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/ee/bf54278aef30335ffa9a189f869ea09e1a195b3f4b93062164a3b02678a7/numpy-2.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:2e6a1409eee0cb0316cb64640a49a49ca44deb1a537e6b1121dc7c458a1299a8", size = 10170327, upload-time = "2025-06-07T14:40:02.703Z" },
+    { url = "https://files.pythonhosted.org/packages/89/59/9df493df81ac6f76e9f05cdbe013cdb0c9a37b434f6e594f5bd25e278908/numpy-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:389b85335838155a9076e9ad7f8fdba0827496ec2d2dc32ce69ce7898bde03ba", size = 20897025, upload-time = "2025-06-07T14:40:33.558Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/86/4ff04335901d6cf3a6bb9c748b0097546ae5af35e455ae9b962ebff4ecd7/numpy-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9498f60cd6bb8238d8eaf468a3d5bb031d34cd12556af53510f05fcf581c1b7e", size = 14129882, upload-time = "2025-06-07T14:40:55.034Z" },
+    { url = "https://files.pythonhosted.org/packages/71/8d/a942cd4f959de7f08a79ab0c7e6cecb7431d5403dce78959a726f0f57aa1/numpy-2.3.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:622a65d40d8eb427d8e722fd410ac3ad4958002f109230bc714fa551044ebae2", size = 5110181, upload-time = "2025-06-07T14:41:04.4Z" },
+    { url = "https://files.pythonhosted.org/packages/86/5d/45850982efc7b2c839c5626fb67fbbc520d5b0d7c1ba1ae3651f2f74c296/numpy-2.3.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b9446d9d8505aadadb686d51d838f2b6688c9e85636a0c3abaeb55ed54756459", size = 6647581, upload-time = "2025-06-07T14:41:14.695Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/c0/c871d4a83f93b00373d3eebe4b01525eee8ef10b623a335ec262b58f4dc1/numpy-2.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:50080245365d75137a2bf46151e975de63146ae6d79f7e6bd5c0e85c9931d06a", size = 14262317, upload-time = "2025-06-07T14:41:35.862Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/f6/bc47f5fa666d5ff4145254f9e618d56e6a4ef9b874654ca74c19113bb538/numpy-2.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c24bb4113c66936eeaa0dc1e47c74770453d34f46ee07ae4efd853a2ed1ad10a", size = 16633919, upload-time = "2025-06-07T14:42:00.622Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b4/65f48009ca0c9b76df5f404fccdea5a985a1bb2e34e97f21a17d9ad1a4ba/numpy-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4d8d294287fdf685281e671886c6dcdf0291a7c19db3e5cb4178d07ccf6ecc67", size = 15567651, upload-time = "2025-06-07T14:42:24.429Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/62/5367855a2018578e9334ed08252ef67cc302e53edc869666f71641cad40b/numpy-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6295f81f093b7f5769d1728a6bd8bf7466de2adfa771ede944ce6711382b89dc", size = 18361723, upload-time = "2025-06-07T14:42:51.167Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/75/5baed8cd867eabee8aad1e74d7197d73971d6a3d40c821f1848b8fab8b84/numpy-2.3.0-cp312-cp312-win32.whl", hash = "sha256:e6648078bdd974ef5d15cecc31b0c410e2e24178a6e10bf511e0557eed0f2570", size = 6318285, upload-time = "2025-06-07T14:43:02.052Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/49/d5781eaa1a15acb3b3a3f49dc9e2ff18d92d0ce5c2976f4ab5c0a7360250/numpy-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:0898c67a58cdaaf29994bc0e2c65230fd4de0ac40afaf1584ed0b02cd74c6fdd", size = 12732594, upload-time = "2025-06-07T14:43:21.071Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/1c/6d343e030815c7c97a1f9fbad00211b47717c7fe446834c224bd5311e6f1/numpy-2.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:bd8df082b6c4695753ad6193018c05aac465d634834dca47a3ae06d4bb22d9ea", size = 9891498, upload-time = "2025-06-07T14:43:36.332Z" },
+    { url = "https://files.pythonhosted.org/packages/73/fc/1d67f751fd4dbafc5780244fe699bc4084268bad44b7c5deb0492473127b/numpy-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5754ab5595bfa2c2387d241296e0381c21f44a4b90a776c3c1d39eede13a746a", size = 20889633, upload-time = "2025-06-07T14:44:06.839Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/73ffdb69e5c3f19ec4530f8924c4386e7ba097efc94b9c0aff607178ad94/numpy-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d11fa02f77752d8099573d64e5fe33de3229b6632036ec08f7080f46b6649959", size = 14151683, upload-time = "2025-06-07T14:44:28.847Z" },
+    { url = "https://files.pythonhosted.org/packages/64/d5/06d4bb31bb65a1d9c419eb5676173a2f90fd8da3c59f816cc54c640ce265/numpy-2.3.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:aba48d17e87688a765ab1cd557882052f238e2f36545dfa8e29e6a91aef77afe", size = 5102683, upload-time = "2025-06-07T14:44:38.417Z" },
+    { url = "https://files.pythonhosted.org/packages/12/8b/6c2cef44f8ccdc231f6b56013dff1d71138c48124334aded36b1a1b30c5a/numpy-2.3.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4dc58865623023b63b10d52f18abaac3729346a7a46a778381e0e3af4b7f3beb", size = 6640253, upload-time = "2025-06-07T14:44:49.359Z" },
+    { url = "https://files.pythonhosted.org/packages/62/aa/fca4bf8de3396ddb59544df9b75ffe5b73096174de97a9492d426f5cd4aa/numpy-2.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:df470d376f54e052c76517393fa443758fefcdd634645bc9c1f84eafc67087f0", size = 14258658, upload-time = "2025-06-07T14:45:10.156Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/12/734dce1087eed1875f2297f687e671cfe53a091b6f2f55f0c7241aad041b/numpy-2.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:87717eb24d4a8a64683b7a4e91ace04e2f5c7c77872f823f02a94feee186168f", size = 16628765, upload-time = "2025-06-07T14:45:35.076Z" },
+    { url = "https://files.pythonhosted.org/packages/48/03/ffa41ade0e825cbcd5606a5669962419528212a16082763fc051a7247d76/numpy-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d8fa264d56882b59dcb5ea4d6ab6f31d0c58a57b41aec605848b6eb2ef4a43e8", size = 15564335, upload-time = "2025-06-07T14:45:58.797Z" },
+    { url = "https://files.pythonhosted.org/packages/07/58/869398a11863310aee0ff85a3e13b4c12f20d032b90c4b3ee93c3b728393/numpy-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e651756066a0eaf900916497e20e02fe1ae544187cb0fe88de981671ee7f6270", size = 18360608, upload-time = "2025-06-07T14:46:25.687Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/8a/5756935752ad278c17e8a061eb2127c9a3edf4ba2c31779548b336f23c8d/numpy-2.3.0-cp313-cp313-win32.whl", hash = "sha256:e43c3cce3b6ae5f94696669ff2a6eafd9a6b9332008bafa4117af70f4b88be6f", size = 6310005, upload-time = "2025-06-07T14:50:13.138Z" },
+    { url = "https://files.pythonhosted.org/packages/08/60/61d60cf0dfc0bf15381eaef46366ebc0c1a787856d1db0c80b006092af84/numpy-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:81ae0bf2564cf475f94be4a27ef7bcf8af0c3e28da46770fc904da9abd5279b5", size = 12729093, upload-time = "2025-06-07T14:50:31.82Z" },
+    { url = "https://files.pythonhosted.org/packages/66/31/2f2f2d2b3e3c32d5753d01437240feaa32220b73258c9eef2e42a0832866/numpy-2.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:c8738baa52505fa6e82778580b23f945e3578412554d937093eac9205e845e6e", size = 9885689, upload-time = "2025-06-07T14:50:47.888Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/89/c7828f23cc50f607ceb912774bb4cff225ccae7131c431398ad8400e2c98/numpy-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:39b27d8b38942a647f048b675f134dd5a567f95bfff481f9109ec308515c51d8", size = 20986612, upload-time = "2025-06-07T14:46:56.077Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/46/79ecf47da34c4c50eedec7511e53d57ffdfd31c742c00be7dc1d5ffdb917/numpy-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0eba4a1ea88f9a6f30f56fdafdeb8da3774349eacddab9581a21234b8535d3d3", size = 14298953, upload-time = "2025-06-07T14:47:18.053Z" },
+    { url = "https://files.pythonhosted.org/packages/59/44/f6caf50713d6ff4480640bccb2a534ce1d8e6e0960c8f864947439f0ee95/numpy-2.3.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:b0f1f11d0a1da54927436505a5a7670b154eac27f5672afc389661013dfe3d4f", size = 5225806, upload-time = "2025-06-07T14:47:27.524Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/43/e1fd1aca7c97e234dd05e66de4ab7a5be54548257efcdd1bc33637e72102/numpy-2.3.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:690d0a5b60a47e1f9dcec7b77750a4854c0d690e9058b7bef3106e3ae9117808", size = 6735169, upload-time = "2025-06-07T14:47:38.057Z" },
+    { url = "https://files.pythonhosted.org/packages/84/89/f76f93b06a03177c0faa7ca94d0856c4e5c4bcaf3c5f77640c9ed0303e1c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:8b51ead2b258284458e570942137155978583e407babc22e3d0ed7af33ce06f8", size = 14330701, upload-time = "2025-06-07T14:47:59.113Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/f5/4858c3e9ff7a7d64561b20580cf7cc5d085794bd465a19604945d6501f6c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:aaf81c7b82c73bd9b45e79cfb9476cb9c29e937494bfe9092c26aece812818ad", size = 16692983, upload-time = "2025-06-07T14:48:24.196Z" },
+    { url = "https://files.pythonhosted.org/packages/08/17/0e3b4182e691a10e9483bcc62b4bb8693dbf9ea5dc9ba0b77a60435074bb/numpy-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f420033a20b4f6a2a11f585f93c843ac40686a7c3fa514060a97d9de93e5e72b", size = 15641435, upload-time = "2025-06-07T14:48:47.712Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/d5/463279fda028d3c1efa74e7e8d507605ae87f33dbd0543cf4c4527c8b882/numpy-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d344ca32ab482bcf8735d8f95091ad081f97120546f3d250240868430ce52555", size = 18433798, upload-time = "2025-06-07T14:49:14.866Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/1e/7a9d98c886d4c39a2b4d3a7c026bffcf8fbcaf518782132d12a301cfc47a/numpy-2.3.0-cp313-cp313t-win32.whl", hash = "sha256:48a2e8eaf76364c32a1feaa60d6925eaf32ed7a040183b807e02674305beef61", size = 6438632, upload-time = "2025-06-07T14:49:25.67Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ab/66fc909931d5eb230107d016861824f335ae2c0533f422e654e5ff556784/numpy-2.3.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ba17f93a94e503551f154de210e4d50c5e3ee20f7e7a1b5f6ce3f22d419b93bb", size = 12868491, upload-time = "2025-06-07T14:49:44.898Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/e8/2c8a1c9e34d6f6d600c83d5ce5b71646c32a13f34ca5c518cc060639841c/numpy-2.3.0-cp313-cp313t-win_arm64.whl", hash = "sha256:f14e016d9409680959691c109be98c436c6249eaf7f118b424679793607b5944", size = 9935345, upload-time = "2025-06-07T14:50:02.311Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/a2/f8c1133f90eaa1c11bbbec1dc28a42054d0ce74bc2c9838c5437ba5d4980/numpy-2.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:80b46117c7359de8167cc00a2c7d823bdd505e8c7727ae0871025a86d668283b", size = 21070759, upload-time = "2025-06-07T14:51:18.241Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/e0/4c05fc44ba28463096eee5ae2a12832c8d2759cc5bcec34ae33386d3ff83/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:5814a0f43e70c061f47abd5857d120179609ddc32a613138cbb6c4e9e2dbdda5", size = 5301054, upload-time = "2025-06-07T14:51:27.413Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/3b/6c06cdebe922bbc2a466fe2105f50f661238ea223972a69c7deb823821e7/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:ef6c1e88fd6b81ac6d215ed71dc8cd027e54d4bf1d2682d362449097156267a2", size = 6817520, upload-time = "2025-06-07T14:51:38.015Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/a3/1e536797fd10eb3c5dbd2e376671667c9af19e241843548575267242ea02/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:33a5a12a45bb82d9997e2c0b12adae97507ad7c347546190a18ff14c28bbca12", size = 14398078, upload-time = "2025-06-07T14:52:00.122Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/61/9d574b10d9368ecb1a0c923952aa593510a20df4940aa615b3a71337c8db/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:54dfc8681c1906d239e95ab1508d0a533c4a9505e52ee2d71a5472b04437ef97", size = 16751324, upload-time = "2025-06-07T14:52:25.077Z" },
+    { url = "https://files.pythonhosted.org/packages/39/de/bcad52ce972dc26232629ca3a99721fd4b22c1d2bda84d5db6541913ef9c/numpy-2.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:e017a8a251ff4d18d71f139e28bdc7c31edba7a507f72b1414ed902cbe48c74d", size = 12924237, upload-time = "2025-06-07T14:52:44.713Z" },
 ]
 
 [[package]]
 name = "numtype"
-version = "2.2.6.0.dev0"
+version = "2.3.0.0.dev0"
 source = { directory = "../" }
 
 [package.optional-dependencies]
@@ -178,17 +188,17 @@ numpy = [
 ]
 
 [package.metadata]
-requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.2.6,<2.3" }]
+requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.3.0,<2.4" }]
 provides-extras = ["numpy"]
 
 [package.metadata.requires-dev]
 basedpyright = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 dev = [
     { name = "basedpyright", specifier = ">=1.29.2" },
@@ -201,11 +211,11 @@ dev = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
     { name = "pygments", specifier = ">=2.19.1" },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 docs = [
     { name = "markdown-callouts", specifier = ">=0.4.0" },
@@ -216,42 +226,42 @@ docs = [
     { name = "mkdocstrings", extras = ["python"], specifier = ">=0.29.1" },
     { name = "pygments", specifier = ">=2.19.1" },
 ]
-lint = [{ name = "ruff", specifier = ">=0.11.12" }]
+lint = [{ name = "ruff", specifier = ">=0.11.13" }]
 list-and-test = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 mypy = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 numpy = [{ name = "numtype", extras = ["numpy"] }]
 pytest = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 typecheck = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 types = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 
 [[package]]
@@ -343,9 +353,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" },
 ]
 
+[[package]]
+name = "pygments"
+version = "2.19.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7c/2d/c3338d48ea6cc0feb8446d8e6937e1408088a72a39937982cc6111d17f84/pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f", size = 4968581, upload-time = "2025-01-06T17:26:30.443Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293, upload-time = "2025-01-06T17:26:25.553Z" },
+]
+
 [[package]]
 name = "pyinstaller"
-version = "6.13.0"
+version = "6.14.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "altgraph" },
@@ -356,19 +375,19 @@ dependencies = [
     { name = "pywin32-ctypes", marker = "sys_platform == 'win32'" },
     { name = "setuptools" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/b1/2949fe6d3874e961898ca5cfc1bf2cf13bdeea488b302e74a745bc28c8ba/pyinstaller-6.13.0.tar.gz", hash = "sha256:38911feec2c5e215e5159a7e66fdb12400168bd116143b54a8a7a37f08733456", size = 4276427, upload-time = "2025-04-15T23:25:31.646Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/7e/dc/4ec9284d14952d3a4902c29b0c86314cad8de35104b5c1d6e001b914c0f5/pyinstaller-6.14.0.tar.gz", hash = "sha256:cc55cdc21491722d74133e35ab363a88679b37ee2d76f9d80adcbc0ae862d630", size = 4284182, upload-time = "2025-06-03T20:09:50.883Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b4/02/d1a347d35b1b627da1e148159e617576555619ac3bb8bbd5fed661fc7bb5/pyinstaller-6.13.0-py3-none-macosx_10_13_universal2.whl", hash = "sha256:aa404f0b02cd57948098055e76ee190b8e65ccf7a2a3f048e5000f668317069f", size = 1001923, upload-time = "2025-04-15T23:24:17.646Z" },
-    { url = "https://files.pythonhosted.org/packages/6b/80/6da39f7aeac65c9ca5afad0fac37887d75fdfd480178a7077c9d30b0704c/pyinstaller-6.13.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:92efcf2f09e78f07b568c5cb7ed48c9940f5dad627af4b49bede6320fab2a06e", size = 718135, upload-time = "2025-04-15T23:24:22.385Z" },
-    { url = "https://files.pythonhosted.org/packages/05/2c/d21d31f780a489609e7bf6385c0f7635238dc98b37cba8645b53322b7450/pyinstaller-6.13.0-py3-none-manylinux2014_i686.whl", hash = "sha256:9f82f113c463f012faa0e323d952ca30a6f922685d9636e754bd3a256c7ed200", size = 728543, upload-time = "2025-04-15T23:24:27.02Z" },
-    { url = "https://files.pythonhosted.org/packages/e1/20/e6ca87bbed6c0163533195707f820f05e10b8da1223fc6972cfe3c3c50c7/pyinstaller-6.13.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:db0e7945ebe276f604eb7c36e536479556ab32853412095e19172a5ec8fca1c5", size = 726868, upload-time = "2025-04-15T23:24:31.779Z" },
-    { url = "https://files.pythonhosted.org/packages/20/d5/53b19285f8817ab6c4b07c570208d62606bab0e5a049d50c93710a1d9dc6/pyinstaller-6.13.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:92fe7337c5aa08d42b38d7a79614492cb571489f2cb0a8f91dc9ef9ccbe01ed3", size = 725037, upload-time = "2025-04-15T23:24:36.244Z" },
-    { url = "https://files.pythonhosted.org/packages/84/5b/08e0b305ba71e6d7cb247e27d714da7536895b0283132d74d249bf662366/pyinstaller-6.13.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:bc09795f5954135dd4486c1535650958c8218acb954f43860e4b05fb515a21c0", size = 721027, upload-time = "2025-04-15T23:24:40.16Z" },
-    { url = "https://files.pythonhosted.org/packages/1f/9c/d8d0a7120103471be8dbe1c5419542aa794b9b9ec2ef628b542f9e6f9ef0/pyinstaller-6.13.0-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:589937548d34978c568cfdc39f31cf386f45202bc27fdb8facb989c79dfb4c02", size = 723443, upload-time = "2025-04-15T23:24:50.63Z" },
-    { url = "https://files.pythonhosted.org/packages/52/c7/8a9d81569dda2352068ecc6ee779d5feff6729569dd1b4ffd1236ecd38fe/pyinstaller-6.13.0-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:b7260832f7501ba1d2ce1834d4cddc0f2b94315282bc89c59333433715015447", size = 719915, upload-time = "2025-04-15T23:24:54.917Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/e6/cccadb02b90198c7ed4ffb8bc34d420efb72b996f47cbd4738067a602d65/pyinstaller-6.13.0-py3-none-win32.whl", hash = "sha256:80c568848529635aa7ca46d8d525f68486d53e03f68b7bb5eba2c88d742e302c", size = 1294997, upload-time = "2025-04-15T23:25:01.391Z" },
-    { url = "https://files.pythonhosted.org/packages/1a/06/15cbe0e25d1e73d5b981fa41ff0bb02b15e924e30b8c61256f4a28c4c837/pyinstaller-6.13.0-py3-none-win_amd64.whl", hash = "sha256:8d4296236b85aae570379488c2da833b28828b17c57c2cc21fccd7e3811fe372", size = 1352714, upload-time = "2025-04-15T23:25:08.061Z" },
-    { url = "https://files.pythonhosted.org/packages/83/ef/74379298d46e7caa6aa7ceccc865106d3d4b15ac487ffdda2a35bfb6fe79/pyinstaller-6.13.0-py3-none-win_arm64.whl", hash = "sha256:d9f21d56ca2443aa6a1e255e7ad285c76453893a454105abe1b4d45e92bb9a20", size = 1293589, upload-time = "2025-04-15T23:25:14.523Z" },
+    { url = "https://files.pythonhosted.org/packages/69/f6/7aaee3c4289ee3784b48229b2155d04936c514f66af29ced60cdf4c576b8/pyinstaller-6.14.0-py3-none-macosx_10_13_universal2.whl", hash = "sha256:20b4dcaf17a27cf5d5417f9dc53e81adf417d22e4d8c4afe50ae20dacdc1cde6", size = 999807, upload-time = "2025-06-03T20:08:45.713Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/bb/96a83e17c72cbe0eac385c6101b82881ba86c30f852b27824e98c99aaef1/pyinstaller-6.14.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:57982d0ebeb39e9a5dd8722bed871873ec59161613d8b09ca638adbd4fb4e592", size = 719439, upload-time = "2025-06-03T20:08:51.876Z" },
+    { url = "https://files.pythonhosted.org/packages/66/ae/1415822212ca69fb29ac0b961ee6103ea90be2d8e5fe00b39db6340c8c7d/pyinstaller-6.14.0-py3-none-manylinux2014_i686.whl", hash = "sha256:d75492d4a7ece299b580837cb027cf7742cea5e92dfec0bb4c6064816c009b59", size = 729694, upload-time = "2025-06-03T20:08:56.136Z" },
+    { url = "https://files.pythonhosted.org/packages/49/e3/757efe36330f79efcdd9b288514082f786e35832458da5ef84cf24905209/pyinstaller-6.14.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:ca5ad60e210a7eb1c968d09deb85b645963bf24dcb8ed4af93c293ea526a08e6", size = 727807, upload-time = "2025-06-03T20:08:59.922Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/d4/17a7c81cc82d33119f0b3d751d30e253a14b04087059ae9fa15c7dd8707a/pyinstaller-6.14.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:af8c973543e976bd660f83a43089cabd3c41e98398f53fa179ef7eee4d5fe3b0", size = 724631, upload-time = "2025-06-03T20:09:04.035Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/03/eeb4af303f5eb0a2cb5cdc8ae1053894f53057c1e218d1252669aebcadde/pyinstaller-6.14.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:640f68e50d22684aa5970c2f3a6490d2e7c16bd5c20c63f5541c0e50e5bd2391", size = 724827, upload-time = "2025-06-03T20:09:08.328Z" },
+    { url = "https://files.pythonhosted.org/packages/49/3d/26e860641655adb2bf4aed243351abefff258551a1811ffe60b03f5bb514/pyinstaller-6.14.0-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:3c2c88a355223d13704b5153dc341e02699523363cc18c49d872c8e82b5c6063", size = 724002, upload-time = "2025-06-03T20:09:12.121Z" },
+    { url = "https://files.pythonhosted.org/packages/52/28/5f442033ed7f89badc93112421248c848470d5d1fbcd226fabd9d4e71475/pyinstaller-6.14.0-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:9af257dc72d6b2027ab8a4c217eda07a6e6efa8ae9223953fd721aa9baec9106", size = 723717, upload-time = "2025-06-03T20:09:16.192Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/38/5ad380af42229b77afd7536d8ecec0b89db37e7d83f9c80780db365d17bf/pyinstaller-6.14.0-py3-none-win32.whl", hash = "sha256:083d97ee52077bc21a8e8beaede394dfd8d19da8bafc03ebc6734949d63d74a1", size = 1299615, upload-time = "2025-06-03T20:09:21.979Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/89/e8b850913b998ac2999ffd75dc9b6c30ac7b341ba674f22b6fe8c962074c/pyinstaller-6.14.0-py3-none-win_amd64.whl", hash = "sha256:c62c3e0f768d4f90c0329c5e2616d8fff5c041dc4864a28e74d653d0e77aff1a", size = 1357494, upload-time = "2025-06-03T20:09:28.107Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/df/83e5fbcd247f1e9b38f381db6870dcba57078f24612b02b2604799e8b3fc/pyinstaller-6.14.0-py3-none-win_arm64.whl", hash = "sha256:adf130c72e98ced09df5c43d7ca271d701a730036980da75cae056325cbc2dcd", size = 1298477, upload-time = "2025-06-03T20:09:33.932Z" },
 ]
 
 [[package]]
@@ -386,17 +405,18 @@ wheels = [
 
 [[package]]
 name = "pytest"
-version = "8.3.5"
+version = "8.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
     { name = "iniconfig" },
     { name = "packaging" },
     { name = "pluggy" },
+    { name = "pygments" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ae/3c/c9d525a414d506893f0cd8a8d0de7706446213181570cdbd766691164e40/pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845", size = 1450891, upload-time = "2025-03-02T12:54:54.503Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/fb/aa/405082ce2749be5398045152251ac69c0f3578c7077efc53431303af97ce/pytest-8.4.0.tar.gz", hash = "sha256:14d920b48472ea0dbf68e45b96cd1ffda4705f33307dcc86c676c1b5104838a6", size = 1515232, upload-time = "2025-06-02T17:36:30.03Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl", hash = "sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820", size = 343634, upload-time = "2025-03-02T12:54:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/de/afa024cbe022b1b318a3d224125aa24939e99b4ff6f22e0ba639a2eaee47/pytest-8.4.0-py3-none-any.whl", hash = "sha256:f40f825768ad76c0977cbacdf1fd37c6f7a468e460ea6a0636078f8972d4517e", size = 363797, upload-time = "2025-06-02T17:36:27.859Z" },
 ]
 
 [[package]]
@@ -437,9 +457,9 @@ wheels = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.13.2"
+version = "4.14.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/f6/37/23083fcd6e35492953e8d2aaaa68b860eb422b34627b13f2ce3eb6106061/typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef", size = 106967, upload-time = "2025-04-10T14:19:05.416Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d1/bc/51647cd02527e87d05cb083ccc402f93e441606ff1f01739a62c8ad09ba5/typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4", size = 107423, upload-time = "2025-06-02T14:52:11.399Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806, upload-time = "2025-04-10T14:19:03.967Z" },
+    { url = "https://files.pythonhosted.org/packages/69/e0/552843e0d356fbb5256d21449fa957fa4eff3bbc135a74a691ee70c7c5da/typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af", size = 43839, upload-time = "2025-06-02T14:52:10.026Z" },
 ]
diff --git a/tool/ufunc.py.lock b/tool/ufunc.py.lock
index 6fda5bd6..29951424 100644
--- a/tool/ufunc.py.lock
+++ b/tool/ufunc.py.lock
@@ -10,55 +10,65 @@ requirements = [
 
 [[package]]
 name = "numpy"
-version = "2.2.6"
+version = "2.3.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz", hash = "sha256:581f87f9e9e9db2cba2141400e160e9dd644ee248788d6f90636eeb8fd9260a6", size = 20382813, upload-time = "2025-06-07T14:54:32.608Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" },
-    { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" },
-    { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" },
-    { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" },
-    { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" },
-    { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" },
-    { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" },
-    { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" },
-    { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" },
-    { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" },
-    { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" },
-    { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" },
-    { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" },
-    { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" },
-    { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" },
-    { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" },
-    { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" },
-    { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" },
-    { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" },
-    { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" },
-    { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" },
-    { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" },
-    { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" },
-    { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" },
-    { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" },
-    { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" },
-    { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/5f/df67435257d827eb3b8af66f585223dc2c3f2eb7ad0b50cb1dae2f35f494/numpy-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c3c9fdde0fa18afa1099d6257eb82890ea4f3102847e692193b54e00312a9ae9", size = 21199688, upload-time = "2025-06-07T14:36:52.067Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/ce/aad219575055d6c9ef29c8c540c81e1c38815d3be1fe09cdbe53d48ee838/numpy-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46d16f72c2192da7b83984aa5455baee640e33a9f1e61e656f29adf55e406c2b", size = 14359277, upload-time = "2025-06-07T14:37:15.325Z" },
+    { url = "https://files.pythonhosted.org/packages/29/6b/2d31da8e6d2ec99bed54c185337a87f8fbeccc1cd9804e38217e92f3f5e2/numpy-2.3.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a0be278be9307c4ab06b788f2a077f05e180aea817b3e41cebbd5aaf7bd85ed3", size = 5376069, upload-time = "2025-06-07T14:37:25.636Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/2a/6c59a062397553ec7045c53d5fcdad44e4536e54972faa2ba44153bca984/numpy-2.3.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:99224862d1412d2562248d4710126355d3a8db7672170a39d6909ac47687a8a4", size = 6913057, upload-time = "2025-06-07T14:37:37.215Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/5a/8df16f258d28d033e4f359e29d3aeb54663243ac7b71504e89deeb813202/numpy-2.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2393a914db64b0ead0ab80c962e42d09d5f385802006a6c87835acb1f58adb96", size = 14568083, upload-time = "2025-06-07T14:37:59.337Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/92/0528a563dfc2cdccdcb208c0e241a4bb500d7cde218651ffb834e8febc50/numpy-2.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:7729c8008d55e80784bd113787ce876ca117185c579c0d626f59b87d433ea779", size = 16929402, upload-time = "2025-06-07T14:38:24.343Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/2f/e7a8c8d4a2212c527568d84f31587012cf5497a7271ea1f23332142f634e/numpy-2.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:06d4fb37a8d383b769281714897420c5cc3545c79dc427df57fc9b852ee0bf58", size = 15879193, upload-time = "2025-06-07T14:38:48.007Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/c3/dada3f005953847fe35f42ac0fe746f6e1ea90b4c6775e4be605dcd7b578/numpy-2.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c39ec392b5db5088259c68250e342612db82dc80ce044cf16496cf14cf6bc6f8", size = 18665318, upload-time = "2025-06-07T14:39:15.794Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/ae/3f448517dedefc8dd64d803f9d51a8904a48df730e00a3c5fb1e75a60620/numpy-2.3.0-cp311-cp311-win32.whl", hash = "sha256:ee9d3ee70d62827bc91f3ea5eee33153212c41f639918550ac0475e3588da59f", size = 6601108, upload-time = "2025-06-07T14:39:27.176Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/4a/556406d2bb2b9874c8cbc840c962683ac28f21efbc9b01177d78f0199ca1/numpy-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:43c55b6a860b0eb44d42341438b03513cf3879cb3617afb749ad49307e164edd", size = 13021525, upload-time = "2025-06-07T14:39:46.637Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/ee/bf54278aef30335ffa9a189f869ea09e1a195b3f4b93062164a3b02678a7/numpy-2.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:2e6a1409eee0cb0316cb64640a49a49ca44deb1a537e6b1121dc7c458a1299a8", size = 10170327, upload-time = "2025-06-07T14:40:02.703Z" },
+    { url = "https://files.pythonhosted.org/packages/89/59/9df493df81ac6f76e9f05cdbe013cdb0c9a37b434f6e594f5bd25e278908/numpy-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:389b85335838155a9076e9ad7f8fdba0827496ec2d2dc32ce69ce7898bde03ba", size = 20897025, upload-time = "2025-06-07T14:40:33.558Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/86/4ff04335901d6cf3a6bb9c748b0097546ae5af35e455ae9b962ebff4ecd7/numpy-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9498f60cd6bb8238d8eaf468a3d5bb031d34cd12556af53510f05fcf581c1b7e", size = 14129882, upload-time = "2025-06-07T14:40:55.034Z" },
+    { url = "https://files.pythonhosted.org/packages/71/8d/a942cd4f959de7f08a79ab0c7e6cecb7431d5403dce78959a726f0f57aa1/numpy-2.3.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:622a65d40d8eb427d8e722fd410ac3ad4958002f109230bc714fa551044ebae2", size = 5110181, upload-time = "2025-06-07T14:41:04.4Z" },
+    { url = "https://files.pythonhosted.org/packages/86/5d/45850982efc7b2c839c5626fb67fbbc520d5b0d7c1ba1ae3651f2f74c296/numpy-2.3.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b9446d9d8505aadadb686d51d838f2b6688c9e85636a0c3abaeb55ed54756459", size = 6647581, upload-time = "2025-06-07T14:41:14.695Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/c0/c871d4a83f93b00373d3eebe4b01525eee8ef10b623a335ec262b58f4dc1/numpy-2.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:50080245365d75137a2bf46151e975de63146ae6d79f7e6bd5c0e85c9931d06a", size = 14262317, upload-time = "2025-06-07T14:41:35.862Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/f6/bc47f5fa666d5ff4145254f9e618d56e6a4ef9b874654ca74c19113bb538/numpy-2.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c24bb4113c66936eeaa0dc1e47c74770453d34f46ee07ae4efd853a2ed1ad10a", size = 16633919, upload-time = "2025-06-07T14:42:00.622Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b4/65f48009ca0c9b76df5f404fccdea5a985a1bb2e34e97f21a17d9ad1a4ba/numpy-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4d8d294287fdf685281e671886c6dcdf0291a7c19db3e5cb4178d07ccf6ecc67", size = 15567651, upload-time = "2025-06-07T14:42:24.429Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/62/5367855a2018578e9334ed08252ef67cc302e53edc869666f71641cad40b/numpy-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6295f81f093b7f5769d1728a6bd8bf7466de2adfa771ede944ce6711382b89dc", size = 18361723, upload-time = "2025-06-07T14:42:51.167Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/75/5baed8cd867eabee8aad1e74d7197d73971d6a3d40c821f1848b8fab8b84/numpy-2.3.0-cp312-cp312-win32.whl", hash = "sha256:e6648078bdd974ef5d15cecc31b0c410e2e24178a6e10bf511e0557eed0f2570", size = 6318285, upload-time = "2025-06-07T14:43:02.052Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/49/d5781eaa1a15acb3b3a3f49dc9e2ff18d92d0ce5c2976f4ab5c0a7360250/numpy-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:0898c67a58cdaaf29994bc0e2c65230fd4de0ac40afaf1584ed0b02cd74c6fdd", size = 12732594, upload-time = "2025-06-07T14:43:21.071Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/1c/6d343e030815c7c97a1f9fbad00211b47717c7fe446834c224bd5311e6f1/numpy-2.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:bd8df082b6c4695753ad6193018c05aac465d634834dca47a3ae06d4bb22d9ea", size = 9891498, upload-time = "2025-06-07T14:43:36.332Z" },
+    { url = "https://files.pythonhosted.org/packages/73/fc/1d67f751fd4dbafc5780244fe699bc4084268bad44b7c5deb0492473127b/numpy-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5754ab5595bfa2c2387d241296e0381c21f44a4b90a776c3c1d39eede13a746a", size = 20889633, upload-time = "2025-06-07T14:44:06.839Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/73ffdb69e5c3f19ec4530f8924c4386e7ba097efc94b9c0aff607178ad94/numpy-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d11fa02f77752d8099573d64e5fe33de3229b6632036ec08f7080f46b6649959", size = 14151683, upload-time = "2025-06-07T14:44:28.847Z" },
+    { url = "https://files.pythonhosted.org/packages/64/d5/06d4bb31bb65a1d9c419eb5676173a2f90fd8da3c59f816cc54c640ce265/numpy-2.3.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:aba48d17e87688a765ab1cd557882052f238e2f36545dfa8e29e6a91aef77afe", size = 5102683, upload-time = "2025-06-07T14:44:38.417Z" },
+    { url = "https://files.pythonhosted.org/packages/12/8b/6c2cef44f8ccdc231f6b56013dff1d71138c48124334aded36b1a1b30c5a/numpy-2.3.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4dc58865623023b63b10d52f18abaac3729346a7a46a778381e0e3af4b7f3beb", size = 6640253, upload-time = "2025-06-07T14:44:49.359Z" },
+    { url = "https://files.pythonhosted.org/packages/62/aa/fca4bf8de3396ddb59544df9b75ffe5b73096174de97a9492d426f5cd4aa/numpy-2.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:df470d376f54e052c76517393fa443758fefcdd634645bc9c1f84eafc67087f0", size = 14258658, upload-time = "2025-06-07T14:45:10.156Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/12/734dce1087eed1875f2297f687e671cfe53a091b6f2f55f0c7241aad041b/numpy-2.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:87717eb24d4a8a64683b7a4e91ace04e2f5c7c77872f823f02a94feee186168f", size = 16628765, upload-time = "2025-06-07T14:45:35.076Z" },
+    { url = "https://files.pythonhosted.org/packages/48/03/ffa41ade0e825cbcd5606a5669962419528212a16082763fc051a7247d76/numpy-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d8fa264d56882b59dcb5ea4d6ab6f31d0c58a57b41aec605848b6eb2ef4a43e8", size = 15564335, upload-time = "2025-06-07T14:45:58.797Z" },
+    { url = "https://files.pythonhosted.org/packages/07/58/869398a11863310aee0ff85a3e13b4c12f20d032b90c4b3ee93c3b728393/numpy-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e651756066a0eaf900916497e20e02fe1ae544187cb0fe88de981671ee7f6270", size = 18360608, upload-time = "2025-06-07T14:46:25.687Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/8a/5756935752ad278c17e8a061eb2127c9a3edf4ba2c31779548b336f23c8d/numpy-2.3.0-cp313-cp313-win32.whl", hash = "sha256:e43c3cce3b6ae5f94696669ff2a6eafd9a6b9332008bafa4117af70f4b88be6f", size = 6310005, upload-time = "2025-06-07T14:50:13.138Z" },
+    { url = "https://files.pythonhosted.org/packages/08/60/61d60cf0dfc0bf15381eaef46366ebc0c1a787856d1db0c80b006092af84/numpy-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:81ae0bf2564cf475f94be4a27ef7bcf8af0c3e28da46770fc904da9abd5279b5", size = 12729093, upload-time = "2025-06-07T14:50:31.82Z" },
+    { url = "https://files.pythonhosted.org/packages/66/31/2f2f2d2b3e3c32d5753d01437240feaa32220b73258c9eef2e42a0832866/numpy-2.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:c8738baa52505fa6e82778580b23f945e3578412554d937093eac9205e845e6e", size = 9885689, upload-time = "2025-06-07T14:50:47.888Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/89/c7828f23cc50f607ceb912774bb4cff225ccae7131c431398ad8400e2c98/numpy-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:39b27d8b38942a647f048b675f134dd5a567f95bfff481f9109ec308515c51d8", size = 20986612, upload-time = "2025-06-07T14:46:56.077Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/46/79ecf47da34c4c50eedec7511e53d57ffdfd31c742c00be7dc1d5ffdb917/numpy-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0eba4a1ea88f9a6f30f56fdafdeb8da3774349eacddab9581a21234b8535d3d3", size = 14298953, upload-time = "2025-06-07T14:47:18.053Z" },
+    { url = "https://files.pythonhosted.org/packages/59/44/f6caf50713d6ff4480640bccb2a534ce1d8e6e0960c8f864947439f0ee95/numpy-2.3.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:b0f1f11d0a1da54927436505a5a7670b154eac27f5672afc389661013dfe3d4f", size = 5225806, upload-time = "2025-06-07T14:47:27.524Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/43/e1fd1aca7c97e234dd05e66de4ab7a5be54548257efcdd1bc33637e72102/numpy-2.3.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:690d0a5b60a47e1f9dcec7b77750a4854c0d690e9058b7bef3106e3ae9117808", size = 6735169, upload-time = "2025-06-07T14:47:38.057Z" },
+    { url = "https://files.pythonhosted.org/packages/84/89/f76f93b06a03177c0faa7ca94d0856c4e5c4bcaf3c5f77640c9ed0303e1c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:8b51ead2b258284458e570942137155978583e407babc22e3d0ed7af33ce06f8", size = 14330701, upload-time = "2025-06-07T14:47:59.113Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/f5/4858c3e9ff7a7d64561b20580cf7cc5d085794bd465a19604945d6501f6c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:aaf81c7b82c73bd9b45e79cfb9476cb9c29e937494bfe9092c26aece812818ad", size = 16692983, upload-time = "2025-06-07T14:48:24.196Z" },
+    { url = "https://files.pythonhosted.org/packages/08/17/0e3b4182e691a10e9483bcc62b4bb8693dbf9ea5dc9ba0b77a60435074bb/numpy-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f420033a20b4f6a2a11f585f93c843ac40686a7c3fa514060a97d9de93e5e72b", size = 15641435, upload-time = "2025-06-07T14:48:47.712Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/d5/463279fda028d3c1efa74e7e8d507605ae87f33dbd0543cf4c4527c8b882/numpy-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d344ca32ab482bcf8735d8f95091ad081f97120546f3d250240868430ce52555", size = 18433798, upload-time = "2025-06-07T14:49:14.866Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/1e/7a9d98c886d4c39a2b4d3a7c026bffcf8fbcaf518782132d12a301cfc47a/numpy-2.3.0-cp313-cp313t-win32.whl", hash = "sha256:48a2e8eaf76364c32a1feaa60d6925eaf32ed7a040183b807e02674305beef61", size = 6438632, upload-time = "2025-06-07T14:49:25.67Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ab/66fc909931d5eb230107d016861824f335ae2c0533f422e654e5ff556784/numpy-2.3.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ba17f93a94e503551f154de210e4d50c5e3ee20f7e7a1b5f6ce3f22d419b93bb", size = 12868491, upload-time = "2025-06-07T14:49:44.898Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/e8/2c8a1c9e34d6f6d600c83d5ce5b71646c32a13f34ca5c518cc060639841c/numpy-2.3.0-cp313-cp313t-win_arm64.whl", hash = "sha256:f14e016d9409680959691c109be98c436c6249eaf7f118b424679793607b5944", size = 9935345, upload-time = "2025-06-07T14:50:02.311Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/a2/f8c1133f90eaa1c11bbbec1dc28a42054d0ce74bc2c9838c5437ba5d4980/numpy-2.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:80b46117c7359de8167cc00a2c7d823bdd505e8c7727ae0871025a86d668283b", size = 21070759, upload-time = "2025-06-07T14:51:18.241Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/e0/4c05fc44ba28463096eee5ae2a12832c8d2759cc5bcec34ae33386d3ff83/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:5814a0f43e70c061f47abd5857d120179609ddc32a613138cbb6c4e9e2dbdda5", size = 5301054, upload-time = "2025-06-07T14:51:27.413Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/3b/6c06cdebe922bbc2a466fe2105f50f661238ea223972a69c7deb823821e7/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:ef6c1e88fd6b81ac6d215ed71dc8cd027e54d4bf1d2682d362449097156267a2", size = 6817520, upload-time = "2025-06-07T14:51:38.015Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/a3/1e536797fd10eb3c5dbd2e376671667c9af19e241843548575267242ea02/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:33a5a12a45bb82d9997e2c0b12adae97507ad7c347546190a18ff14c28bbca12", size = 14398078, upload-time = "2025-06-07T14:52:00.122Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/61/9d574b10d9368ecb1a0c923952aa593510a20df4940aa615b3a71337c8db/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:54dfc8681c1906d239e95ab1508d0a533c4a9505e52ee2d71a5472b04437ef97", size = 16751324, upload-time = "2025-06-07T14:52:25.077Z" },
+    { url = "https://files.pythonhosted.org/packages/39/de/bcad52ce972dc26232629ca3a99721fd4b22c1d2bda84d5db6541913ef9c/numpy-2.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:e017a8a251ff4d18d71f139e28bdc7c31edba7a507f72b1414ed902cbe48c74d", size = 12924237, upload-time = "2025-06-07T14:52:44.713Z" },
 ]
 
 [[package]]
 name = "numtype"
-version = "2.2.6.0.dev0"
+version = "2.3.0.0.dev0"
 source = { directory = "../" }
 
 [package.optional-dependencies]
@@ -67,17 +77,17 @@ numpy = [
 ]
 
 [package.metadata]
-requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.2.6,<2.3" }]
+requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.3.0,<2.4" }]
 provides-extras = ["numpy"]
 
 [package.metadata.requires-dev]
 basedpyright = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 dev = [
     { name = "basedpyright", specifier = ">=1.29.2" },
@@ -90,11 +100,11 @@ dev = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
     { name = "pygments", specifier = ">=2.19.1" },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 docs = [
     { name = "markdown-callouts", specifier = ">=0.4.0" },
@@ -105,42 +115,42 @@ docs = [
     { name = "mkdocstrings", extras = ["python"], specifier = ">=0.29.1" },
     { name = "pygments", specifier = ">=2.19.1" },
 ]
-lint = [{ name = "ruff", specifier = ">=0.11.12" }]
+lint = [{ name = "ruff", specifier = ">=0.11.13" }]
 list-and-test = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 mypy = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 numpy = [{ name = "numtype", extras = ["numpy"] }]
 pytest = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 typecheck = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 types = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 
 [[package]]
diff --git a/uv.lock b/uv.lock
index 2838e4b8..ee772d1b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -438,16 +438,16 @@ python = [
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.16.11"
+version = "1.16.12"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "griffe" },
     { name = "mkdocs-autorefs" },
     { name = "mkdocstrings" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/90/a3/0c7559a355fa21127a174a5aa2d3dca2de6e479ddd9c63ca4082d5f9980c/mkdocstrings_python-1.16.11.tar.gz", hash = "sha256:935f95efa887f99178e4a7becaaa1286fb35adafffd669b04fd611d97c00e5ce", size = 205392, upload-time = "2025-05-24T10:41:32.078Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/bf/ed/b886f8c714fd7cccc39b79646b627dbea84cd95c46be43459ef46852caf0/mkdocstrings_python-1.16.12.tar.gz", hash = "sha256:9b9eaa066e0024342d433e332a41095c4e429937024945fea511afe58f63175d", size = 206065, upload-time = "2025-06-03T12:52:49.276Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/cb/c4/ffa32f2c7cdb1728026c7a34aab87796b895767893aaa54611a79b4eef45/mkdocstrings_python-1.16.11-py3-none-any.whl", hash = "sha256:25d96cc9c1f9c272ea1bd8222c900b5f852bf46c984003e9c7c56eaa4696190f", size = 124282, upload-time = "2025-05-24T10:41:30.008Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/dd/a24ee3de56954bfafb6ede7cd63c2413bb842cc48eb45e41c43a05a33074/mkdocstrings_python-1.16.12-py3-none-any.whl", hash = "sha256:22ded3a63b3d823d57457a70ff9860d5a4de9e8b1e482876fc9baabaf6f5f374", size = 124287, upload-time = "2025-06-03T12:52:47.819Z" },
 ]
 
 [[package]]
@@ -523,55 +523,65 @@ wheels = [
 
 [[package]]
 name = "numpy"
-version = "2.2.6"
+version = "2.3.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz", hash = "sha256:581f87f9e9e9db2cba2141400e160e9dd644ee248788d6f90636eeb8fd9260a6", size = 20382813, upload-time = "2025-06-07T14:54:32.608Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" },
-    { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" },
-    { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" },
-    { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" },
-    { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" },
-    { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" },
-    { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" },
-    { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" },
-    { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" },
-    { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" },
-    { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" },
-    { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" },
-    { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" },
-    { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" },
-    { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" },
-    { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" },
-    { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" },
-    { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" },
-    { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" },
-    { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" },
-    { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" },
-    { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" },
-    { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" },
-    { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" },
-    { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" },
-    { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" },
-    { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" },
-    { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/5f/df67435257d827eb3b8af66f585223dc2c3f2eb7ad0b50cb1dae2f35f494/numpy-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c3c9fdde0fa18afa1099d6257eb82890ea4f3102847e692193b54e00312a9ae9", size = 21199688, upload-time = "2025-06-07T14:36:52.067Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/ce/aad219575055d6c9ef29c8c540c81e1c38815d3be1fe09cdbe53d48ee838/numpy-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46d16f72c2192da7b83984aa5455baee640e33a9f1e61e656f29adf55e406c2b", size = 14359277, upload-time = "2025-06-07T14:37:15.325Z" },
+    { url = "https://files.pythonhosted.org/packages/29/6b/2d31da8e6d2ec99bed54c185337a87f8fbeccc1cd9804e38217e92f3f5e2/numpy-2.3.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a0be278be9307c4ab06b788f2a077f05e180aea817b3e41cebbd5aaf7bd85ed3", size = 5376069, upload-time = "2025-06-07T14:37:25.636Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/2a/6c59a062397553ec7045c53d5fcdad44e4536e54972faa2ba44153bca984/numpy-2.3.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:99224862d1412d2562248d4710126355d3a8db7672170a39d6909ac47687a8a4", size = 6913057, upload-time = "2025-06-07T14:37:37.215Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/5a/8df16f258d28d033e4f359e29d3aeb54663243ac7b71504e89deeb813202/numpy-2.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2393a914db64b0ead0ab80c962e42d09d5f385802006a6c87835acb1f58adb96", size = 14568083, upload-time = "2025-06-07T14:37:59.337Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/92/0528a563dfc2cdccdcb208c0e241a4bb500d7cde218651ffb834e8febc50/numpy-2.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:7729c8008d55e80784bd113787ce876ca117185c579c0d626f59b87d433ea779", size = 16929402, upload-time = "2025-06-07T14:38:24.343Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/2f/e7a8c8d4a2212c527568d84f31587012cf5497a7271ea1f23332142f634e/numpy-2.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:06d4fb37a8d383b769281714897420c5cc3545c79dc427df57fc9b852ee0bf58", size = 15879193, upload-time = "2025-06-07T14:38:48.007Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/c3/dada3f005953847fe35f42ac0fe746f6e1ea90b4c6775e4be605dcd7b578/numpy-2.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c39ec392b5db5088259c68250e342612db82dc80ce044cf16496cf14cf6bc6f8", size = 18665318, upload-time = "2025-06-07T14:39:15.794Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/ae/3f448517dedefc8dd64d803f9d51a8904a48df730e00a3c5fb1e75a60620/numpy-2.3.0-cp311-cp311-win32.whl", hash = "sha256:ee9d3ee70d62827bc91f3ea5eee33153212c41f639918550ac0475e3588da59f", size = 6601108, upload-time = "2025-06-07T14:39:27.176Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/4a/556406d2bb2b9874c8cbc840c962683ac28f21efbc9b01177d78f0199ca1/numpy-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:43c55b6a860b0eb44d42341438b03513cf3879cb3617afb749ad49307e164edd", size = 13021525, upload-time = "2025-06-07T14:39:46.637Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/ee/bf54278aef30335ffa9a189f869ea09e1a195b3f4b93062164a3b02678a7/numpy-2.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:2e6a1409eee0cb0316cb64640a49a49ca44deb1a537e6b1121dc7c458a1299a8", size = 10170327, upload-time = "2025-06-07T14:40:02.703Z" },
+    { url = "https://files.pythonhosted.org/packages/89/59/9df493df81ac6f76e9f05cdbe013cdb0c9a37b434f6e594f5bd25e278908/numpy-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:389b85335838155a9076e9ad7f8fdba0827496ec2d2dc32ce69ce7898bde03ba", size = 20897025, upload-time = "2025-06-07T14:40:33.558Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/86/4ff04335901d6cf3a6bb9c748b0097546ae5af35e455ae9b962ebff4ecd7/numpy-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9498f60cd6bb8238d8eaf468a3d5bb031d34cd12556af53510f05fcf581c1b7e", size = 14129882, upload-time = "2025-06-07T14:40:55.034Z" },
+    { url = "https://files.pythonhosted.org/packages/71/8d/a942cd4f959de7f08a79ab0c7e6cecb7431d5403dce78959a726f0f57aa1/numpy-2.3.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:622a65d40d8eb427d8e722fd410ac3ad4958002f109230bc714fa551044ebae2", size = 5110181, upload-time = "2025-06-07T14:41:04.4Z" },
+    { url = "https://files.pythonhosted.org/packages/86/5d/45850982efc7b2c839c5626fb67fbbc520d5b0d7c1ba1ae3651f2f74c296/numpy-2.3.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b9446d9d8505aadadb686d51d838f2b6688c9e85636a0c3abaeb55ed54756459", size = 6647581, upload-time = "2025-06-07T14:41:14.695Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/c0/c871d4a83f93b00373d3eebe4b01525eee8ef10b623a335ec262b58f4dc1/numpy-2.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:50080245365d75137a2bf46151e975de63146ae6d79f7e6bd5c0e85c9931d06a", size = 14262317, upload-time = "2025-06-07T14:41:35.862Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/f6/bc47f5fa666d5ff4145254f9e618d56e6a4ef9b874654ca74c19113bb538/numpy-2.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c24bb4113c66936eeaa0dc1e47c74770453d34f46ee07ae4efd853a2ed1ad10a", size = 16633919, upload-time = "2025-06-07T14:42:00.622Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b4/65f48009ca0c9b76df5f404fccdea5a985a1bb2e34e97f21a17d9ad1a4ba/numpy-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4d8d294287fdf685281e671886c6dcdf0291a7c19db3e5cb4178d07ccf6ecc67", size = 15567651, upload-time = "2025-06-07T14:42:24.429Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/62/5367855a2018578e9334ed08252ef67cc302e53edc869666f71641cad40b/numpy-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6295f81f093b7f5769d1728a6bd8bf7466de2adfa771ede944ce6711382b89dc", size = 18361723, upload-time = "2025-06-07T14:42:51.167Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/75/5baed8cd867eabee8aad1e74d7197d73971d6a3d40c821f1848b8fab8b84/numpy-2.3.0-cp312-cp312-win32.whl", hash = "sha256:e6648078bdd974ef5d15cecc31b0c410e2e24178a6e10bf511e0557eed0f2570", size = 6318285, upload-time = "2025-06-07T14:43:02.052Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/49/d5781eaa1a15acb3b3a3f49dc9e2ff18d92d0ce5c2976f4ab5c0a7360250/numpy-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:0898c67a58cdaaf29994bc0e2c65230fd4de0ac40afaf1584ed0b02cd74c6fdd", size = 12732594, upload-time = "2025-06-07T14:43:21.071Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/1c/6d343e030815c7c97a1f9fbad00211b47717c7fe446834c224bd5311e6f1/numpy-2.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:bd8df082b6c4695753ad6193018c05aac465d634834dca47a3ae06d4bb22d9ea", size = 9891498, upload-time = "2025-06-07T14:43:36.332Z" },
+    { url = "https://files.pythonhosted.org/packages/73/fc/1d67f751fd4dbafc5780244fe699bc4084268bad44b7c5deb0492473127b/numpy-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5754ab5595bfa2c2387d241296e0381c21f44a4b90a776c3c1d39eede13a746a", size = 20889633, upload-time = "2025-06-07T14:44:06.839Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/73ffdb69e5c3f19ec4530f8924c4386e7ba097efc94b9c0aff607178ad94/numpy-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d11fa02f77752d8099573d64e5fe33de3229b6632036ec08f7080f46b6649959", size = 14151683, upload-time = "2025-06-07T14:44:28.847Z" },
+    { url = "https://files.pythonhosted.org/packages/64/d5/06d4bb31bb65a1d9c419eb5676173a2f90fd8da3c59f816cc54c640ce265/numpy-2.3.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:aba48d17e87688a765ab1cd557882052f238e2f36545dfa8e29e6a91aef77afe", size = 5102683, upload-time = "2025-06-07T14:44:38.417Z" },
+    { url = "https://files.pythonhosted.org/packages/12/8b/6c2cef44f8ccdc231f6b56013dff1d71138c48124334aded36b1a1b30c5a/numpy-2.3.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4dc58865623023b63b10d52f18abaac3729346a7a46a778381e0e3af4b7f3beb", size = 6640253, upload-time = "2025-06-07T14:44:49.359Z" },
+    { url = "https://files.pythonhosted.org/packages/62/aa/fca4bf8de3396ddb59544df9b75ffe5b73096174de97a9492d426f5cd4aa/numpy-2.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:df470d376f54e052c76517393fa443758fefcdd634645bc9c1f84eafc67087f0", size = 14258658, upload-time = "2025-06-07T14:45:10.156Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/12/734dce1087eed1875f2297f687e671cfe53a091b6f2f55f0c7241aad041b/numpy-2.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:87717eb24d4a8a64683b7a4e91ace04e2f5c7c77872f823f02a94feee186168f", size = 16628765, upload-time = "2025-06-07T14:45:35.076Z" },
+    { url = "https://files.pythonhosted.org/packages/48/03/ffa41ade0e825cbcd5606a5669962419528212a16082763fc051a7247d76/numpy-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d8fa264d56882b59dcb5ea4d6ab6f31d0c58a57b41aec605848b6eb2ef4a43e8", size = 15564335, upload-time = "2025-06-07T14:45:58.797Z" },
+    { url = "https://files.pythonhosted.org/packages/07/58/869398a11863310aee0ff85a3e13b4c12f20d032b90c4b3ee93c3b728393/numpy-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e651756066a0eaf900916497e20e02fe1ae544187cb0fe88de981671ee7f6270", size = 18360608, upload-time = "2025-06-07T14:46:25.687Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/8a/5756935752ad278c17e8a061eb2127c9a3edf4ba2c31779548b336f23c8d/numpy-2.3.0-cp313-cp313-win32.whl", hash = "sha256:e43c3cce3b6ae5f94696669ff2a6eafd9a6b9332008bafa4117af70f4b88be6f", size = 6310005, upload-time = "2025-06-07T14:50:13.138Z" },
+    { url = "https://files.pythonhosted.org/packages/08/60/61d60cf0dfc0bf15381eaef46366ebc0c1a787856d1db0c80b006092af84/numpy-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:81ae0bf2564cf475f94be4a27ef7bcf8af0c3e28da46770fc904da9abd5279b5", size = 12729093, upload-time = "2025-06-07T14:50:31.82Z" },
+    { url = "https://files.pythonhosted.org/packages/66/31/2f2f2d2b3e3c32d5753d01437240feaa32220b73258c9eef2e42a0832866/numpy-2.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:c8738baa52505fa6e82778580b23f945e3578412554d937093eac9205e845e6e", size = 9885689, upload-time = "2025-06-07T14:50:47.888Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/89/c7828f23cc50f607ceb912774bb4cff225ccae7131c431398ad8400e2c98/numpy-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:39b27d8b38942a647f048b675f134dd5a567f95bfff481f9109ec308515c51d8", size = 20986612, upload-time = "2025-06-07T14:46:56.077Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/46/79ecf47da34c4c50eedec7511e53d57ffdfd31c742c00be7dc1d5ffdb917/numpy-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0eba4a1ea88f9a6f30f56fdafdeb8da3774349eacddab9581a21234b8535d3d3", size = 14298953, upload-time = "2025-06-07T14:47:18.053Z" },
+    { url = "https://files.pythonhosted.org/packages/59/44/f6caf50713d6ff4480640bccb2a534ce1d8e6e0960c8f864947439f0ee95/numpy-2.3.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:b0f1f11d0a1da54927436505a5a7670b154eac27f5672afc389661013dfe3d4f", size = 5225806, upload-time = "2025-06-07T14:47:27.524Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/43/e1fd1aca7c97e234dd05e66de4ab7a5be54548257efcdd1bc33637e72102/numpy-2.3.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:690d0a5b60a47e1f9dcec7b77750a4854c0d690e9058b7bef3106e3ae9117808", size = 6735169, upload-time = "2025-06-07T14:47:38.057Z" },
+    { url = "https://files.pythonhosted.org/packages/84/89/f76f93b06a03177c0faa7ca94d0856c4e5c4bcaf3c5f77640c9ed0303e1c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:8b51ead2b258284458e570942137155978583e407babc22e3d0ed7af33ce06f8", size = 14330701, upload-time = "2025-06-07T14:47:59.113Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/f5/4858c3e9ff7a7d64561b20580cf7cc5d085794bd465a19604945d6501f6c/numpy-2.3.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:aaf81c7b82c73bd9b45e79cfb9476cb9c29e937494bfe9092c26aece812818ad", size = 16692983, upload-time = "2025-06-07T14:48:24.196Z" },
+    { url = "https://files.pythonhosted.org/packages/08/17/0e3b4182e691a10e9483bcc62b4bb8693dbf9ea5dc9ba0b77a60435074bb/numpy-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f420033a20b4f6a2a11f585f93c843ac40686a7c3fa514060a97d9de93e5e72b", size = 15641435, upload-time = "2025-06-07T14:48:47.712Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/d5/463279fda028d3c1efa74e7e8d507605ae87f33dbd0543cf4c4527c8b882/numpy-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d344ca32ab482bcf8735d8f95091ad081f97120546f3d250240868430ce52555", size = 18433798, upload-time = "2025-06-07T14:49:14.866Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/1e/7a9d98c886d4c39a2b4d3a7c026bffcf8fbcaf518782132d12a301cfc47a/numpy-2.3.0-cp313-cp313t-win32.whl", hash = "sha256:48a2e8eaf76364c32a1feaa60d6925eaf32ed7a040183b807e02674305beef61", size = 6438632, upload-time = "2025-06-07T14:49:25.67Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ab/66fc909931d5eb230107d016861824f335ae2c0533f422e654e5ff556784/numpy-2.3.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ba17f93a94e503551f154de210e4d50c5e3ee20f7e7a1b5f6ce3f22d419b93bb", size = 12868491, upload-time = "2025-06-07T14:49:44.898Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/e8/2c8a1c9e34d6f6d600c83d5ce5b71646c32a13f34ca5c518cc060639841c/numpy-2.3.0-cp313-cp313t-win_arm64.whl", hash = "sha256:f14e016d9409680959691c109be98c436c6249eaf7f118b424679793607b5944", size = 9935345, upload-time = "2025-06-07T14:50:02.311Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/a2/f8c1133f90eaa1c11bbbec1dc28a42054d0ce74bc2c9838c5437ba5d4980/numpy-2.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:80b46117c7359de8167cc00a2c7d823bdd505e8c7727ae0871025a86d668283b", size = 21070759, upload-time = "2025-06-07T14:51:18.241Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/e0/4c05fc44ba28463096eee5ae2a12832c8d2759cc5bcec34ae33386d3ff83/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:5814a0f43e70c061f47abd5857d120179609ddc32a613138cbb6c4e9e2dbdda5", size = 5301054, upload-time = "2025-06-07T14:51:27.413Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/3b/6c06cdebe922bbc2a466fe2105f50f661238ea223972a69c7deb823821e7/numpy-2.3.0-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:ef6c1e88fd6b81ac6d215ed71dc8cd027e54d4bf1d2682d362449097156267a2", size = 6817520, upload-time = "2025-06-07T14:51:38.015Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/a3/1e536797fd10eb3c5dbd2e376671667c9af19e241843548575267242ea02/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:33a5a12a45bb82d9997e2c0b12adae97507ad7c347546190a18ff14c28bbca12", size = 14398078, upload-time = "2025-06-07T14:52:00.122Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/61/9d574b10d9368ecb1a0c923952aa593510a20df4940aa615b3a71337c8db/numpy-2.3.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:54dfc8681c1906d239e95ab1508d0a533c4a9505e52ee2d71a5472b04437ef97", size = 16751324, upload-time = "2025-06-07T14:52:25.077Z" },
+    { url = "https://files.pythonhosted.org/packages/39/de/bcad52ce972dc26232629ca3a99721fd4b22c1d2bda84d5db6541913ef9c/numpy-2.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:e017a8a251ff4d18d71f139e28bdc7c31edba7a507f72b1414ed902cbe48c74d", size = 12924237, upload-time = "2025-06-07T14:52:44.713Z" },
 ]
 
 [[package]]
 name = "numtype"
-version = "2.2.6.0.dev0"
+version = "2.3.0.0.dev0"
 source = { editable = "." }
 
 [package.optional-dependencies]
@@ -657,17 +667,17 @@ types = [
 ]
 
 [package.metadata]
-requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.2.6,<2.3" }]
+requires-dist = [{ name = "numpy", marker = "extra == 'numpy'", specifier = ">=2.3.0,<2.4" }]
 provides-extras = ["numpy"]
 
 [package.metadata.requires-dev]
 basedpyright = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 dev = [
     { name = "basedpyright", specifier = ">=1.29.2" },
@@ -680,11 +690,11 @@ dev = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
     { name = "pygments", specifier = ">=2.19.1" },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 docs = [
     { name = "markdown-callouts", specifier = ">=0.4.0" },
@@ -695,42 +705,42 @@ docs = [
     { name = "mkdocstrings", extras = ["python"], specifier = ">=0.29.1" },
     { name = "pygments", specifier = ">=2.19.1" },
 ]
-lint = [{ name = "ruff", specifier = ">=0.11.12" }]
+lint = [{ name = "ruff", specifier = ">=0.11.13" }]
 list-and-test = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "ruff", specifier = ">=0.11.12" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "ruff", specifier = ">=0.11.13" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 mypy = [
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 numpy = [{ name = "numtype", extras = ["numpy"] }]
 pytest = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "pytest", specifier = ">=8.4.0" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 typecheck = [
     { name = "basedpyright", specifier = ">=1.29.2" },
     { name = "mypy", extras = ["faster-cache"], specifier = ">=1.16.0" },
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 types = [
     { name = "numtype", extras = ["numpy"] },
-    { name = "pytest", specifier = ">=8.3.5" },
+    { name = "pytest", specifier = ">=8.4.0" },
     { name = "types-setuptools", specifier = ">=80.9.0.20250529" },
     { name = "types-tabulate", specifier = ">=0.9.0.20241207" },
-    { name = "typing-extensions", specifier = ">=4.13.2" },
+    { name = "typing-extensions", specifier = ">=4.14.0" },
 ]
 
 [[package]]
@@ -935,17 +945,18 @@ wheels = [
 
 [[package]]
 name = "pytest"
-version = "8.3.5"
+version = "8.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
     { name = "iniconfig" },
     { name = "packaging" },
     { name = "pluggy" },
+    { name = "pygments" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ae/3c/c9d525a414d506893f0cd8a8d0de7706446213181570cdbd766691164e40/pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845", size = 1450891, upload-time = "2025-03-02T12:54:54.503Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/fb/aa/405082ce2749be5398045152251ac69c0f3578c7077efc53431303af97ce/pytest-8.4.0.tar.gz", hash = "sha256:14d920b48472ea0dbf68e45b96cd1ffda4705f33307dcc86c676c1b5104838a6", size = 1515232, upload-time = "2025-06-02T17:36:30.03Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl", hash = "sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820", size = 343634, upload-time = "2025-03-02T12:54:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/de/afa024cbe022b1b318a3d224125aa24939e99b4ff6f22e0ba639a2eaee47/pytest-8.4.0-py3-none-any.whl", hash = "sha256:f40f825768ad76c0977cbacdf1fd37c6f7a468e460ea6a0636078f8972d4517e", size = 363797, upload-time = "2025-06-02T17:36:27.859Z" },
 ]
 
 [[package]]
@@ -1024,27 +1035,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.11.12"
+version = "0.11.13"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/15/0a/92416b159ec00cdf11e5882a9d80d29bf84bba3dbebc51c4898bfbca1da6/ruff-0.11.12.tar.gz", hash = "sha256:43cf7f69c7d7c7d7513b9d59c5d8cafd704e05944f978614aa9faff6ac202603", size = 4202289, upload-time = "2025-05-29T13:31:40.037Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ed/da/9c6f995903b4d9474b39da91d2d626659af3ff1eeb43e9ae7c119349dba6/ruff-0.11.13.tar.gz", hash = "sha256:26fa247dc68d1d4e72c179e08889a25ac0c7ba4d78aecfc835d49cbfd60bf514", size = 4282054, upload-time = "2025-06-05T21:00:15.721Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/60/cc/53eb79f012d15e136d40a8e8fc519ba8f55a057f60b29c2df34efd47c6e3/ruff-0.11.12-py3-none-linux_armv6l.whl", hash = "sha256:c7680aa2f0d4c4f43353d1e72123955c7a2159b8646cd43402de6d4a3a25d7cc", size = 10285597, upload-time = "2025-05-29T13:30:57.539Z" },
-    { url = "https://files.pythonhosted.org/packages/e7/d7/73386e9fb0232b015a23f62fea7503f96e29c29e6c45461d4a73bac74df9/ruff-0.11.12-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:2cad64843da9f134565c20bcc430642de897b8ea02e2e79e6e02a76b8dcad7c3", size = 11053154, upload-time = "2025-05-29T13:31:00.865Z" },
-    { url = "https://files.pythonhosted.org/packages/4e/eb/3eae144c5114e92deb65a0cb2c72326c8469e14991e9bc3ec0349da1331c/ruff-0.11.12-py3-none-macosx_11_0_arm64.whl", hash = "sha256:9b6886b524a1c659cee1758140138455d3c029783d1b9e643f3624a5ee0cb0aa", size = 10403048, upload-time = "2025-05-29T13:31:03.413Z" },
-    { url = "https://files.pythonhosted.org/packages/29/64/20c54b20e58b1058db6689e94731f2a22e9f7abab74e1a758dfba058b6ca/ruff-0.11.12-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cc3a3690aad6e86c1958d3ec3c38c4594b6ecec75c1f531e84160bd827b2012", size = 10597062, upload-time = "2025-05-29T13:31:05.539Z" },
-    { url = "https://files.pythonhosted.org/packages/29/3a/79fa6a9a39422a400564ca7233a689a151f1039110f0bbbabcb38106883a/ruff-0.11.12-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f97fdbc2549f456c65b3b0048560d44ddd540db1f27c778a938371424b49fe4a", size = 10155152, upload-time = "2025-05-29T13:31:07.986Z" },
-    { url = "https://files.pythonhosted.org/packages/e5/a4/22c2c97b2340aa968af3a39bc38045e78d36abd4ed3fa2bde91c31e712e3/ruff-0.11.12-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74adf84960236961090e2d1348c1a67d940fd12e811a33fb3d107df61eef8fc7", size = 11723067, upload-time = "2025-05-29T13:31:10.57Z" },
-    { url = "https://files.pythonhosted.org/packages/bc/cf/3e452fbd9597bcd8058856ecd42b22751749d07935793a1856d988154151/ruff-0.11.12-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:b56697e5b8bcf1d61293ccfe63873aba08fdbcbbba839fc046ec5926bdb25a3a", size = 12460807, upload-time = "2025-05-29T13:31:12.88Z" },
-    { url = "https://files.pythonhosted.org/packages/2f/ec/8f170381a15e1eb7d93cb4feef8d17334d5a1eb33fee273aee5d1f8241a3/ruff-0.11.12-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d47afa45e7b0eaf5e5969c6b39cbd108be83910b5c74626247e366fd7a36a13", size = 12063261, upload-time = "2025-05-29T13:31:15.236Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/bf/57208f8c0a8153a14652a85f4116c0002148e83770d7a41f2e90b52d2b4e/ruff-0.11.12-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bf9603fe1bf949de8b09a2da896f05c01ed7a187f4a386cdba6760e7f61be", size = 11329601, upload-time = "2025-05-29T13:31:18.68Z" },
-    { url = "https://files.pythonhosted.org/packages/c3/56/edf942f7fdac5888094d9ffa303f12096f1a93eb46570bcf5f14c0c70880/ruff-0.11.12-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:08033320e979df3b20dba567c62f69c45e01df708b0f9c83912d7abd3e0801cd", size = 11522186, upload-time = "2025-05-29T13:31:21.216Z" },
-    { url = "https://files.pythonhosted.org/packages/ed/63/79ffef65246911ed7e2290aeece48739d9603b3a35f9529fec0fc6c26400/ruff-0.11.12-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:929b7706584f5bfd61d67d5070f399057d07c70585fa8c4491d78ada452d3bef", size = 10449032, upload-time = "2025-05-29T13:31:23.417Z" },
-    { url = "https://files.pythonhosted.org/packages/88/19/8c9d4d8a1c2a3f5a1ea45a64b42593d50e28b8e038f1aafd65d6b43647f3/ruff-0.11.12-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:7de4a73205dc5756b8e09ee3ed67c38312dce1aa28972b93150f5751199981b5", size = 10129370, upload-time = "2025-05-29T13:31:25.777Z" },
-    { url = "https://files.pythonhosted.org/packages/bc/0f/2d15533eaa18f460530a857e1778900cd867ded67f16c85723569d54e410/ruff-0.11.12-py3-none-musllinux_1_2_i686.whl", hash = "sha256:2635c2a90ac1b8ca9e93b70af59dfd1dd2026a40e2d6eebaa3efb0465dd9cf02", size = 11123529, upload-time = "2025-05-29T13:31:28.396Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/e2/4c2ac669534bdded835356813f48ea33cfb3a947dc47f270038364587088/ruff-0.11.12-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d05d6a78a89166f03f03a198ecc9d18779076ad0eec476819467acb401028c0c", size = 11577642, upload-time = "2025-05-29T13:31:30.647Z" },
-    { url = "https://files.pythonhosted.org/packages/a7/9b/c9ddf7f924d5617a1c94a93ba595f4b24cb5bc50e98b94433ab3f7ad27e5/ruff-0.11.12-py3-none-win32.whl", hash = "sha256:f5a07f49767c4be4772d161bfc049c1f242db0cfe1bd976e0f0886732a4765d6", size = 10475511, upload-time = "2025-05-29T13:31:32.917Z" },
-    { url = "https://files.pythonhosted.org/packages/fd/d6/74fb6d3470c1aada019ffff33c0f9210af746cca0a4de19a1f10ce54968a/ruff-0.11.12-py3-none-win_amd64.whl", hash = "sha256:5a4d9f8030d8c3a45df201d7fb3ed38d0219bccd7955268e863ee4a115fa0832", size = 11523573, upload-time = "2025-05-29T13:31:35.782Z" },
-    { url = "https://files.pythonhosted.org/packages/44/42/d58086ec20f52d2b0140752ae54b355ea2be2ed46f914231136dd1effcc7/ruff-0.11.12-py3-none-win_arm64.whl", hash = "sha256:65194e37853158d368e333ba282217941029a28ea90913c67e558c611d04daa5", size = 10697770, upload-time = "2025-05-29T13:31:38.009Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/ce/a11d381192966e0b4290842cc8d4fac7dc9214ddf627c11c1afff87da29b/ruff-0.11.13-py3-none-linux_armv6l.whl", hash = "sha256:4bdfbf1240533f40042ec00c9e09a3aade6f8c10b6414cf11b519488d2635d46", size = 10292516, upload-time = "2025-06-05T20:59:32.944Z" },
+    { url = "https://files.pythonhosted.org/packages/78/db/87c3b59b0d4e753e40b6a3b4a2642dfd1dcaefbff121ddc64d6c8b47ba00/ruff-0.11.13-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:aef9c9ed1b5ca28bb15c7eac83b8670cf3b20b478195bd49c8d756ba0a36cf48", size = 11106083, upload-time = "2025-06-05T20:59:37.03Z" },
+    { url = "https://files.pythonhosted.org/packages/77/79/d8cec175856ff810a19825d09ce700265f905c643c69f45d2b737e4a470a/ruff-0.11.13-py3-none-macosx_11_0_arm64.whl", hash = "sha256:53b15a9dfdce029c842e9a5aebc3855e9ab7771395979ff85b7c1dedb53ddc2b", size = 10436024, upload-time = "2025-06-05T20:59:39.741Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/5b/f6d94f2980fa1ee854b41568368a2e1252681b9238ab2895e133d303538f/ruff-0.11.13-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ab153241400789138d13f362c43f7edecc0edfffce2afa6a68434000ecd8f69a", size = 10646324, upload-time = "2025-06-05T20:59:42.185Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/9c/b4c2acf24ea4426016d511dfdc787f4ce1ceb835f3c5fbdbcb32b1c63bda/ruff-0.11.13-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6c51f93029d54a910d3d24f7dd0bb909e31b6cd989a5e4ac513f4eb41629f0dc", size = 10174416, upload-time = "2025-06-05T20:59:44.319Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/10/e2e62f77c65ede8cd032c2ca39c41f48feabedb6e282bfd6073d81bb671d/ruff-0.11.13-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1808b3ed53e1a777c2ef733aca9051dc9bf7c99b26ece15cb59a0320fbdbd629", size = 11724197, upload-time = "2025-06-05T20:59:46.935Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/f0/466fe8469b85c561e081d798c45f8a1d21e0b4a5ef795a1d7f1a9a9ec182/ruff-0.11.13-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:d28ce58b5ecf0f43c1b71edffabe6ed7f245d5336b17805803312ec9bc665933", size = 12511615, upload-time = "2025-06-05T20:59:49.534Z" },
+    { url = "https://files.pythonhosted.org/packages/17/0e/cefe778b46dbd0cbcb03a839946c8f80a06f7968eb298aa4d1a4293f3448/ruff-0.11.13-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55e4bc3a77842da33c16d55b32c6cac1ec5fb0fbec9c8c513bdce76c4f922165", size = 12117080, upload-time = "2025-06-05T20:59:51.654Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/2c/caaeda564cbe103bed145ea557cb86795b18651b0f6b3ff6a10e84e5a33f/ruff-0.11.13-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:633bf2c6f35678c56ec73189ba6fa19ff1c5e4807a78bf60ef487b9dd272cc71", size = 11326315, upload-time = "2025-06-05T20:59:54.469Z" },
+    { url = "https://files.pythonhosted.org/packages/75/f0/782e7d681d660eda8c536962920c41309e6dd4ebcea9a2714ed5127d44bd/ruff-0.11.13-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ffbc82d70424b275b089166310448051afdc6e914fdab90e08df66c43bb5ca9", size = 11555640, upload-time = "2025-06-05T20:59:56.986Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/d4/3d580c616316c7f07fb3c99dbecfe01fbaea7b6fd9a82b801e72e5de742a/ruff-0.11.13-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a9ddd3ec62a9a89578c85842b836e4ac832d4a2e0bfaad3b02243f930ceafcc", size = 10507364, upload-time = "2025-06-05T20:59:59.154Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/dc/195e6f17d7b3ea6b12dc4f3e9de575db7983db187c378d44606e5d503319/ruff-0.11.13-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:d237a496e0778d719efb05058c64d28b757c77824e04ffe8796c7436e26712b7", size = 10141462, upload-time = "2025-06-05T21:00:01.481Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/8e/39a094af6967faa57ecdeacb91bedfb232474ff8c3d20f16a5514e6b3534/ruff-0.11.13-py3-none-musllinux_1_2_i686.whl", hash = "sha256:26816a218ca6ef02142343fd24c70f7cd8c5aa6c203bca284407adf675984432", size = 11121028, upload-time = "2025-06-05T21:00:04.06Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/c0/b0b508193b0e8a1654ec683ebab18d309861f8bd64e3a2f9648b80d392cb/ruff-0.11.13-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:51c3f95abd9331dc5b87c47ac7f376db5616041173826dfd556cfe3d4977f492", size = 11602992, upload-time = "2025-06-05T21:00:06.249Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/91/263e33ab93ab09ca06ce4f8f8547a858cc198072f873ebc9be7466790bae/ruff-0.11.13-py3-none-win32.whl", hash = "sha256:96c27935418e4e8e77a26bb05962817f28b8ef3843a6c6cc49d8783b5507f250", size = 10474944, upload-time = "2025-06-05T21:00:08.459Z" },
+    { url = "https://files.pythonhosted.org/packages/46/f4/7c27734ac2073aae8efb0119cae6931b6fb48017adf048fdf85c19337afc/ruff-0.11.13-py3-none-win_amd64.whl", hash = "sha256:29c3189895a8a6a657b7af4e97d330c8a3afd2c9c8f46c81e2fc5a31866517e3", size = 11548669, upload-time = "2025-06-05T21:00:11.147Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/bf/b273dd11673fed8a6bd46032c0ea2a04b2ac9bfa9c628756a5856ba113b0/ruff-0.11.13-py3-none-win_arm64.whl", hash = "sha256:b4385285e9179d608ff1d2fb9922062663c658605819a6876d8beef0c30b7f3b", size = 10683928, upload-time = "2025-06-05T21:00:13.758Z" },
 ]
 
 [[package]]
@@ -1076,11 +1087,11 @@ wheels = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.13.2"
+version = "4.14.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/f6/37/23083fcd6e35492953e8d2aaaa68b860eb422b34627b13f2ce3eb6106061/typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef", size = 106967, upload-time = "2025-04-10T14:19:05.416Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d1/bc/51647cd02527e87d05cb083ccc402f93e441606ff1f01739a62c8ad09ba5/typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4", size = 107423, upload-time = "2025-06-02T14:52:11.399Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806, upload-time = "2025-04-10T14:19:03.967Z" },
+    { url = "https://files.pythonhosted.org/packages/69/e0/552843e0d356fbb5256d21449fa957fa4eff3bbc135a74a691ee70c7c5da/typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af", size = 43839, upload-time = "2025-06-02T14:52:10.026Z" },
 ]
 
 [[package]]