"""
This type stub file was generated by pyright.
"""

import math as math
from typing import Any
from numpy._pytesttester import PytestTester
from numpy import ndenumerate as ndenumerate, ndindex as ndindex
from numpy.version import version
from numpy.lib import format as format, mixins as mixins, scimath as scimath, stride_tricks as stride_tricks
from numpy.lib._version import NumpyVersion as NumpyVersion
from numpy.lib.arraypad import pad as pad
from numpy.lib.arraysetops import ediff1d as ediff1d, in1d as in1d, intersect1d as intersect1d, isin as isin, setdiff1d as setdiff1d, setxor1d as setxor1d, union1d as union1d, unique as unique
from numpy.lib.arrayterator import Arrayterator as Arrayterator
from numpy.lib.function_base import add_docstring as add_docstring, add_newdoc as add_newdoc, add_newdoc_ufunc as add_newdoc_ufunc, angle as angle, append as append, asarray_chkfinite as asarray_chkfinite, average as average, bartlett as bartlett, bincount as bincount, blackman as blackman, copy as copy, corrcoef as corrcoef, cov as cov, delete as delete, diff as diff, digitize as digitize, disp as disp, extract as extract, flip as flip, gradient as gradient, hamming as hamming, hanning as hanning, i0 as i0, insert as insert, interp as interp, iterable as iterable, kaiser as kaiser, median as median, meshgrid as meshgrid, percentile as percentile, piecewise as piecewise, place as place, quantile as quantile, rot90 as rot90, select as select, sinc as sinc, sort_complex as sort_complex, trapz as trapz, trim_zeros as trim_zeros, unwrap as unwrap, vectorize as vectorize
from numpy.lib.histograms import histogram as histogram, histogram_bin_edges as histogram_bin_edges, histogramdd as histogramdd
from numpy.lib.index_tricks import c_ as c_, diag_indices as diag_indices, diag_indices_from as diag_indices_from, fill_diagonal as fill_diagonal, index_exp as index_exp, ix_ as ix_, mgrid as mgrid, ogrid as ogrid, r_ as r_, ravel_multi_index as ravel_multi_index, s_ as s_, unravel_index as unravel_index
from numpy.lib.nanfunctions import nanargmax as nanargmax, nanargmin as nanargmin, nancumprod as nancumprod, nancumsum as nancumsum, nanmax as nanmax, nanmean as nanmean, nanmedian as nanmedian, nanmin as nanmin, nanpercentile as nanpercentile, nanprod as nanprod, nanquantile as nanquantile, nanstd as nanstd, nansum as nansum, nanvar as nanvar
from numpy.lib.npyio import DataSource as DataSource, fromregex as fromregex, genfromtxt as genfromtxt, load as load, loadtxt as loadtxt, packbits as packbits, recfromcsv as recfromcsv, recfromtxt as recfromtxt, save as save, savetxt as savetxt, savez as savez, savez_compressed as savez_compressed, unpackbits as unpackbits
from numpy.lib.polynomial import RankWarning as RankWarning, poly as poly, poly1d as poly1d, polyadd as polyadd, polyder as polyder, polydiv as polydiv, polyfit as polyfit, polyint as polyint, polymul as polymul, polysub as polysub, polyval as polyval, roots as roots
from numpy.lib.shape_base import apply_along_axis as apply_along_axis, apply_over_axes as apply_over_axes, array_split as array_split, column_stack as column_stack, dsplit as dsplit, dstack as dstack, expand_dims as expand_dims, get_array_wrap as get_array_wrap, hsplit as hsplit, kron as kron, put_along_axis as put_along_axis, row_stack as row_stack, split as split, take_along_axis as take_along_axis, tile as tile, vsplit as vsplit
from numpy.lib.stride_tricks import broadcast_arrays as broadcast_arrays, broadcast_shapes as broadcast_shapes, broadcast_to as broadcast_to
from numpy.lib.twodim_base import diag as diag, diagflat as diagflat, eye as eye, fliplr as fliplr, flipud as flipud, histogram2d as histogram2d, mask_indices as mask_indices, tri as tri, tril as tril, tril_indices as tril_indices, tril_indices_from as tril_indices_from, triu as triu, triu_indices as triu_indices, triu_indices_from as triu_indices_from, vander as vander
from numpy.lib.type_check import asfarray as asfarray, common_type as common_type, imag as imag, iscomplex as iscomplex, iscomplexobj as iscomplexobj, isreal as isreal, isrealobj as isrealobj, mintypecode as mintypecode, nan_to_num as nan_to_num, real as real, real_if_close as real_if_close, typename as typename
from numpy.lib.ufunclike import fix as fix, isneginf as isneginf, isposinf as isposinf
from numpy.lib.utils import byte_bounds as byte_bounds, deprecate as deprecate, deprecate_with_doc as deprecate_with_doc, get_include as get_include, info as info, issubclass_ as issubclass_, issubdtype as issubdtype, issubsctype as issubsctype, lookfor as lookfor, safe_eval as safe_eval, show_runtime as show_runtime, source as source, who as who
from numpy.core.multiarray import tracemalloc_domain as tracemalloc_domain

__all__: list[str]
__path__: list[str]
test: PytestTester
__version__ = ...
emath = scimath
