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