🏷️ add __all__ in numpy._core.__init__

src/numpy-stubs/__init__.pyi

@@ -32,154 +32,170 @@ from uuid import UUID
 import numpy as np
 from numpy.__config__ import show as show_config
 from numpy._array_api_info import __array_namespace_info__
-from numpy._core._asarray import require
-from numpy._core._internal import _ctypes
-from numpy._core._type_aliases import sctypeDict
-from numpy._core._ufunc_config import _ErrCall, _ErrKind, getbufsize, geterr, geterrcall, setbufsize, seterr, seterrcall
-from numpy._core.arrayprint import (
-    array2string,
-    array_repr,
-    array_str,
-    format_float_positional,
-    format_float_scientific,
-    get_printoptions,
-    printoptions,
-    set_printoptions,
-)
-from numpy._core.einsumfunc import einsum, einsum_path
-from numpy._core.fromnumeric import (
+from numpy._core import (
+    False_,
+    ScalarType,
+    True_,
     all,
+    allclose,
     amax,
     amin,
     any,
+    arange,
     argmax,
     argmin,
     argpartition,
     argsort,
+    argwhere,
     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,
-    shape,
-    size,
-    sort,
-    squeeze,
-    std,
-    sum,
-    swapaxes,
-    take,
-    trace,
-    transpose,
-    var,
-)
-from numpy._core.function_base import geomspace, linspace, logspace
-from numpy._core.getlimits import finfo, iinfo
-from numpy._core.memmap import memmap
-from numpy._core.multiarray import (
-    arange,
     array,
+    array2string,
+    array_equal,
+    array_equiv,
+    array_repr,
+    array_str,
     asanyarray,
     asarray,
     ascontiguousarray,
     asfortranarray,
-    bincount,
+    astype,
+    atleast_1d,
+    atleast_2d,
+    atleast_3d,
+    base_repr,
+    binary_repr,
+    block,
     broadcast,
     busday_count,
     busday_offset,
     busdaycalendar,
     can_cast,
+    choose,
+    clip,
+    complex192,
+    complex256,
+    compress,
     concatenate,
+    convolve,
     copyto,
+    correlate,
+    count_nonzero,
+    cross,
+    cumprod,
+    cumsum,
+    cumulative_prod,
+    cumulative_sum,
     datetime_as_string,
     datetime_data,
+    diagonal,
     dot,
+    einsum,
+    einsum_path,
     empty,
     empty_like,
-    flagsobj,
+    finfo,
     flatiter,
+    flatnonzero,
+    float96,
+    float128,
+    format_float_positional,
+    format_float_scientific,
     from_dlpack,
     frombuffer,
     fromfile,
+    fromfunction,
     fromiter,
     frompyfunc,
     fromstring,
-    inner,
-    is_busday,
-    lexsort,
-    may_share_memory,
-    min_scalar_type,
-    nditer,
-    nested_iters,
-    packbits,
-    promote_types,
-    putmask,
-    result_type,
-    shares_memory,
-    unpackbits,
-    vdot,
-    where,
-    zeros,
-)
-from numpy._core.numeric import (
-    False_,
-    True_,
-    allclose,
-    argwhere,
-    array_equal,
-    array_equiv,
-    astype,
-    base_repr,
-    binary_repr,
-    convolve,
-    correlate,
-    count_nonzero,
-    cross,
-    flatnonzero,
-    fromfunction,
     full,
     full_like,
+    geomspace,
+    get_printoptions,
+    getbufsize,
+    geterr,
+    geterrcall,
+    hstack,
     identity,
+    iinfo,
     indices,
     inf,
+    inner,
+    is_busday,
     isclose,
+    isdtype,
     isfortran,
     isscalar,
+    issubdtype,
+    lexsort,
+    linspace,
     little_endian,
+    logspace,
+    matrix_transpose,
+    max,
+    may_share_memory,
+    mean,
+    min,
+    min_scalar_type,
     moveaxis,
     nan,
+    ndim,
+    nditer,
+    nested_iters,
     newaxis,
+    nonzero,
     ones,
     ones_like,
     outer,
+    partition,
+    printoptions,
+    prod,
+    promote_types,
+    ptp,
+    put,
+    putmask,
+    ravel,
+    recarray,
+    record,
+    repeat,
+    require,
+    reshape,
+    resize,
+    result_type,
     roll,
     rollaxis,
+    round,
+    sctypeDict,
+    searchsorted,
+    set_printoptions,
+    setbufsize,
+    seterr,
+    seterrcall,
+    shape,
+    shares_memory,
+    size,
+    sort,
+    squeeze,
+    stack,
+    std,
+    sum,
+    swapaxes,
+    take,
     tensordot,
+    trace,
+    transpose,
+    typecodes,
+    unstack,
+    var,
+    vdot,
+    vstack,
+    where,
+    zeros,
     zeros_like,
 )
-from numpy._core.numerictypes import ScalarType, isdtype, issubdtype, typecodes
-from numpy._core.records import recarray, record
-from numpy._core.shape_base import atleast_1d, atleast_2d, atleast_3d, block, hstack, stack, unstack, vstack
+from numpy._core._internal import _ctypes
+from numpy._core._ufunc_config import _ErrCall, _ErrKind
+from numpy._core.memmap import memmap
+from numpy._core.multiarray import bincount, flagsobj, packbits, unpackbits
 from numpy._pytesttester import PytestTester
 from numpy._typing import (
     ArrayLike,
@@ -302,20 +318,9 @@ from numpy._typing._callable import (
     _UnsignedIntMod,
     _UnsignedIntOp,
 )
-from numpy._typing._extended_precision import (
-    complex160,
-    complex192,
-    complex256,
-    complex512,
-    float80,
-    float96,
-    float128,
-    float256,
-    int128,
-    int256,
-    uint128,
-    uint256,
-)
+
+# TODO(jorenham): remove these: https://github.com/numpy/numtype/issues/120
+from numpy._typing._extended_precision import complex160, complex512, float80, float256, int128, int256, uint128, uint256
 from numpy.lib import scimath as emath
 from numpy.lib._arraypad_impl import pad
 from numpy.lib._arraysetops_impl import (