Initial configuration commit
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commit
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266 changed files with 780274 additions and 0 deletions
12
typings/numpy/ma/__init__.pyi
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12
typings/numpy/ma/__init__.pyi
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@ -0,0 +1,12 @@
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"""
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This type stub file was generated by pyright.
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"""
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from numpy._pytesttester import PytestTester
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from numpy.ma import extras as extras
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from numpy.ma.core import MAError as MAError, MaskError as MaskError, MaskType as MaskType, MaskedArray as MaskedArray, abs as abs, absolute as absolute, add as add, all as all, allclose as allclose, allequal as allequal, alltrue as alltrue, amax as amax, amin as amin, angle as angle, anom as anom, anomalies as anomalies, any as any, append as append, arange as arange, arccos as arccos, arccosh as arccosh, arcsin as arcsin, arcsinh as arcsinh, arctan as arctan, arctan2 as arctan2, arctanh as arctanh, argmax as argmax, argmin as argmin, argsort as argsort, around as around, array as array, asanyarray as asanyarray, asarray as asarray, bitwise_and as bitwise_and, bitwise_or as bitwise_or, bitwise_xor as bitwise_xor, bool_ as bool_, ceil as ceil, choose as choose, clip as clip, common_fill_value as common_fill_value, compress as compress, compressed as compressed, concatenate as concatenate, conjugate as conjugate, convolve as convolve, copy as copy, correlate as correlate, cos as cos, cosh as cosh, count as count, cumprod as cumprod, cumsum as cumsum, default_fill_value as default_fill_value, diag as diag, diagonal as diagonal, diff as diff, divide as divide, empty as empty, empty_like as empty_like, equal as equal, exp as exp, expand_dims as expand_dims, fabs as fabs, filled as filled, fix_invalid as fix_invalid, flatten_mask as flatten_mask, flatten_structured_array as flatten_structured_array, floor as floor, floor_divide as floor_divide, fmod as fmod, frombuffer as frombuffer, fromflex as fromflex, fromfunction as fromfunction, getdata as getdata, getmask as getmask, getmaskarray as getmaskarray, greater as greater, greater_equal as greater_equal, harden_mask as harden_mask, hypot as hypot, identity as identity, ids as ids, indices as indices, inner as inner, innerproduct as innerproduct, isMA as isMA, isMaskedArray as isMaskedArray, is_mask as is_mask, is_masked as is_masked, isarray as isarray, left_shift as left_shift, less as less, less_equal as less_equal, log as log, log10 as log10, log2 as log2, logical_and as logical_and, logical_not as logical_not, logical_or as logical_or, logical_xor as logical_xor, make_mask as make_mask, make_mask_descr as make_mask_descr, make_mask_none as make_mask_none, mask_or as mask_or, masked as masked, masked_array as masked_array, masked_equal as masked_equal, masked_greater as masked_greater, masked_greater_equal as masked_greater_equal, masked_inside as masked_inside, masked_invalid as masked_invalid, masked_less as masked_less, masked_less_equal as masked_less_equal, masked_not_equal as masked_not_equal, masked_object as masked_object, masked_outside as masked_outside, masked_print_option as masked_print_option, masked_singleton as masked_singleton, masked_values as masked_values, masked_where as masked_where, max as max, maximum as maximum, maximum_fill_value as maximum_fill_value, mean as mean, min as min, minimum as minimum, minimum_fill_value as minimum_fill_value, mod as mod, multiply as multiply, mvoid as mvoid, ndim as ndim, negative as negative, nomask as nomask, nonzero as nonzero, not_equal as not_equal, ones as ones, outer as outer, outerproduct as outerproduct, power as power, prod as prod, product as product, ptp as ptp, put as put, putmask as putmask, ravel as ravel, remainder as remainder, repeat as repeat, reshape as reshape, resize as resize, right_shift as right_shift, round as round, set_fill_value as set_fill_value, shape as shape, sin as sin, sinh as sinh, size as size, soften_mask as soften_mask, sometrue as sometrue, sort as sort, sqrt as sqrt, squeeze as squeeze, std as std, subtract as subtract, sum as sum, swapaxes as swapaxes, take as take, tan as tan, tanh as tanh, trace as trace, transpose as transpose, true_divide as true_divide, var as var, where as where, zeros as zeros
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from numpy.ma.extras import apply_along_axis as apply_along_axis, apply_over_axes as apply_over_axes, atleast_1d as atleast_1d, atleast_2d as atleast_2d, atleast_3d as atleast_3d, average as average, clump_masked as clump_masked, clump_unmasked as clump_unmasked, column_stack as column_stack, compress_cols as compress_cols, compress_nd as compress_nd, compress_rowcols as compress_rowcols, compress_rows as compress_rows, corrcoef as corrcoef, count_masked as count_masked, cov as cov, diagflat as diagflat, dot as dot, dstack as dstack, ediff1d as ediff1d, flatnotmasked_contiguous as flatnotmasked_contiguous, flatnotmasked_edges as flatnotmasked_edges, hsplit as hsplit, hstack as hstack, in1d as in1d, intersect1d as intersect1d, isin as isin, mask_cols as mask_cols, mask_rowcols as mask_rowcols, mask_rows as mask_rows, masked_all as masked_all, masked_all_like as masked_all_like, median as median, mr_ as mr_, ndenumerate as ndenumerate, notmasked_contiguous as notmasked_contiguous, notmasked_edges as notmasked_edges, polyfit as polyfit, row_stack as row_stack, setdiff1d as setdiff1d, setxor1d as setxor1d, stack as stack, union1d as union1d, unique as unique, vander as vander, vstack as vstack
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__all__: list[str]
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__path__: list[str]
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test: PytestTester
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853
typings/numpy/ma/core.pyi
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853
typings/numpy/ma/core.pyi
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@ -0,0 +1,853 @@
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"""
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This type stub file was generated by pyright.
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"""
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from collections.abc import Callable
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from typing import Any, TypeVar
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from numpy import bool_ as bool_, dtype, float64, ndarray, squeeze as squeeze
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_ShapeType = TypeVar("_ShapeType", bound=Any)
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_DType_co = TypeVar("_DType_co", bound=dtype[Any], covariant=True)
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__all__: list[str]
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MaskType = bool_
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nomask: bool_
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class MaskedArrayFutureWarning(FutureWarning):
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...
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class MAError(Exception):
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...
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class MaskError(MAError):
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...
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def default_fill_value(obj):
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...
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def minimum_fill_value(obj):
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...
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def maximum_fill_value(obj):
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...
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def set_fill_value(a, fill_value):
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...
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def common_fill_value(a, b):
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...
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def filled(a, fill_value=...):
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...
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def getdata(a, subok=...):
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...
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get_data = ...
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def fix_invalid(a, mask=..., copy=..., fill_value=...):
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...
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class _MaskedUFunc:
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f: Any
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__doc__: Any
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__name__: Any
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def __init__(self, ufunc) -> None:
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...
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class _MaskedUnaryOperation(_MaskedUFunc):
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fill: Any
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domain: Any
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def __init__(self, mufunc, fill=..., domain=...) -> None:
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...
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def __call__(self, a, *args, **kwargs):
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...
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class _MaskedBinaryOperation(_MaskedUFunc):
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fillx: Any
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filly: Any
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def __init__(self, mbfunc, fillx=..., filly=...) -> None:
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...
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def __call__(self, a, b, *args, **kwargs):
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...
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def reduce(self, target, axis=..., dtype=...):
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...
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def outer(self, a, b):
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...
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def accumulate(self, target, axis=...):
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...
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class _DomainedBinaryOperation(_MaskedUFunc):
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domain: Any
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fillx: Any
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filly: Any
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def __init__(self, dbfunc, domain, fillx=..., filly=...) -> None:
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...
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def __call__(self, a, b, *args, **kwargs):
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...
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exp: _MaskedUnaryOperation
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conjugate: _MaskedUnaryOperation
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sin: _MaskedUnaryOperation
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cos: _MaskedUnaryOperation
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arctan: _MaskedUnaryOperation
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arcsinh: _MaskedUnaryOperation
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sinh: _MaskedUnaryOperation
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cosh: _MaskedUnaryOperation
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tanh: _MaskedUnaryOperation
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abs: _MaskedUnaryOperation
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absolute: _MaskedUnaryOperation
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fabs: _MaskedUnaryOperation
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negative: _MaskedUnaryOperation
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floor: _MaskedUnaryOperation
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ceil: _MaskedUnaryOperation
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around: _MaskedUnaryOperation
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logical_not: _MaskedUnaryOperation
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sqrt: _MaskedUnaryOperation
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log: _MaskedUnaryOperation
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log2: _MaskedUnaryOperation
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log10: _MaskedUnaryOperation
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tan: _MaskedUnaryOperation
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arcsin: _MaskedUnaryOperation
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arccos: _MaskedUnaryOperation
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arccosh: _MaskedUnaryOperation
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arctanh: _MaskedUnaryOperation
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add: _MaskedBinaryOperation
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subtract: _MaskedBinaryOperation
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multiply: _MaskedBinaryOperation
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arctan2: _MaskedBinaryOperation
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equal: _MaskedBinaryOperation
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not_equal: _MaskedBinaryOperation
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less_equal: _MaskedBinaryOperation
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greater_equal: _MaskedBinaryOperation
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less: _MaskedBinaryOperation
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greater: _MaskedBinaryOperation
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logical_and: _MaskedBinaryOperation
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alltrue: _MaskedBinaryOperation
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logical_or: _MaskedBinaryOperation
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sometrue: Callable[..., Any]
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logical_xor: _MaskedBinaryOperation
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bitwise_and: _MaskedBinaryOperation
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bitwise_or: _MaskedBinaryOperation
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bitwise_xor: _MaskedBinaryOperation
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hypot: _MaskedBinaryOperation
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divide: _MaskedBinaryOperation
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true_divide: _MaskedBinaryOperation
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floor_divide: _MaskedBinaryOperation
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remainder: _MaskedBinaryOperation
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fmod: _MaskedBinaryOperation
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mod: _MaskedBinaryOperation
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def make_mask_descr(ndtype):
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...
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def getmask(a):
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...
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get_mask = ...
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def getmaskarray(arr):
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...
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def is_mask(m):
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...
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def make_mask(m, copy=..., shrink=..., dtype=...):
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...
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def make_mask_none(newshape, dtype=...):
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...
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def mask_or(m1, m2, copy=..., shrink=...):
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...
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def flatten_mask(mask):
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...
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def masked_where(condition, a, copy=...):
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...
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def masked_greater(x, value, copy=...):
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...
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def masked_greater_equal(x, value, copy=...):
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...
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def masked_less(x, value, copy=...):
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...
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def masked_less_equal(x, value, copy=...):
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...
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def masked_not_equal(x, value, copy=...):
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...
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def masked_equal(x, value, copy=...):
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...
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def masked_inside(x, v1, v2, copy=...):
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...
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def masked_outside(x, v1, v2, copy=...):
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...
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def masked_object(x, value, copy=..., shrink=...):
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...
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def masked_values(x, value, rtol=..., atol=..., copy=..., shrink=...):
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...
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def masked_invalid(a, copy=...):
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...
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class _MaskedPrintOption:
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def __init__(self, display) -> None:
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...
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|
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def display(self):
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...
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def set_display(self, s):
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...
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|
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def enabled(self):
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...
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def enable(self, shrink=...):
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...
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masked_print_option: _MaskedPrintOption
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def flatten_structured_array(a):
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...
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class MaskedIterator:
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ma: Any
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dataiter: Any
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maskiter: Any
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def __init__(self, ma) -> None:
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...
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def __iter__(self):
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...
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def __getitem__(self, indx):
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...
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def __setitem__(self, index, value):
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...
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def __next__(self):
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...
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class MaskedArray(ndarray[_ShapeType, _DType_co]):
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__array_priority__: Any
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def __new__(cls, data=..., mask=..., dtype=..., copy=..., subok=..., ndmin=..., fill_value=..., keep_mask=..., hard_mask=..., shrink=..., order=...):
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...
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def __array_finalize__(self, obj):
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...
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def __array_wrap__(self, obj, context=...):
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...
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def view(self, dtype=..., type=..., fill_value=...):
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...
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def __getitem__(self, indx):
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...
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def __setitem__(self, indx, value):
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...
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@property
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def dtype(self):
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...
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@dtype.setter
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def dtype(self, dtype):
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...
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@property
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def shape(self):
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...
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@shape.setter
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def shape(self, shape):
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...
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|
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def __setmask__(self, mask, copy=...):
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...
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@property
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def mask(self):
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...
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|
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@mask.setter
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def mask(self, value):
|
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...
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|
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@property
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def recordmask(self):
|
||||
...
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|
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@recordmask.setter
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def recordmask(self, mask):
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...
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|
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def harden_mask(self):
|
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...
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|
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def soften_mask(self):
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...
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@property
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def hardmask(self):
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...
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||||
|
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def unshare_mask(self):
|
||||
...
|
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|
||||
@property
|
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def sharedmask(self):
|
||||
...
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||||
|
||||
def shrink_mask(self):
|
||||
...
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||||
|
||||
@property
|
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def baseclass(self):
|
||||
...
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||||
|
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data: Any
|
||||
@property
|
||||
def flat(self):
|
||||
...
|
||||
|
||||
@flat.setter
|
||||
def flat(self, value):
|
||||
...
|
||||
|
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@property
|
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def fill_value(self):
|
||||
...
|
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|
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@fill_value.setter
|
||||
def fill_value(self, value=...):
|
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...
|
||||
|
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get_fill_value: Any
|
||||
set_fill_value: Any
|
||||
def filled(self, fill_value=...):
|
||||
...
|
||||
|
||||
def compressed(self):
|
||||
...
|
||||
|
||||
def compress(self, condition, axis=..., out=...):
|
||||
...
|
||||
|
||||
def __eq__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __ne__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __ge__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __gt__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __le__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __lt__(self, other) -> bool:
|
||||
...
|
||||
|
||||
def __add__(self, other):
|
||||
...
|
||||
|
||||
def __radd__(self, other):
|
||||
...
|
||||
|
||||
def __sub__(self, other):
|
||||
...
|
||||
|
||||
def __rsub__(self, other):
|
||||
...
|
||||
|
||||
def __mul__(self, other):
|
||||
...
|
||||
|
||||
def __rmul__(self, other):
|
||||
...
|
||||
|
||||
def __div__(self, other):
|
||||
...
|
||||
|
||||
def __truediv__(self, other):
|
||||
...
|
||||
|
||||
def __rtruediv__(self, other):
|
||||
...
|
||||
|
||||
def __floordiv__(self, other):
|
||||
...
|
||||
|
||||
def __rfloordiv__(self, other):
|
||||
...
|
||||
|
||||
def __pow__(self, other):
|
||||
...
|
||||
|
||||
def __rpow__(self, other):
|
||||
...
|
||||
|
||||
def __iadd__(self, other):
|
||||
...
|
||||
|
||||
def __isub__(self, other):
|
||||
...
|
||||
|
||||
def __imul__(self, other):
|
||||
...
|
||||
|
||||
def __idiv__(self, other):
|
||||
...
|
||||
|
||||
def __ifloordiv__(self, other):
|
||||
...
|
||||
|
||||
def __itruediv__(self, other):
|
||||
...
|
||||
|
||||
def __ipow__(self, other):
|
||||
...
|
||||
|
||||
def __float__(self):
|
||||
...
|
||||
|
||||
def __int__(self) -> int:
|
||||
...
|
||||
|
||||
@property
|
||||
def imag(self):
|
||||
...
|
||||
|
||||
get_imag: Any
|
||||
@property
|
||||
def real(self):
|
||||
...
|
||||
|
||||
get_real: Any
|
||||
def count(self, axis=..., keepdims=...):
|
||||
...
|
||||
|
||||
def ravel(self, order=...):
|
||||
...
|
||||
|
||||
def reshape(self, *s, **kwargs):
|
||||
...
|
||||
|
||||
def resize(self, newshape, refcheck=..., order=...):
|
||||
...
|
||||
|
||||
def put(self, indices, values, mode=...):
|
||||
...
|
||||
|
||||
def ids(self):
|
||||
...
|
||||
|
||||
def iscontiguous(self):
|
||||
...
|
||||
|
||||
def all(self, axis=..., out=..., keepdims=...):
|
||||
...
|
||||
|
||||
def any(self, axis=..., out=..., keepdims=...):
|
||||
...
|
||||
|
||||
def nonzero(self):
|
||||
...
|
||||
|
||||
def trace(self, offset=..., axis1=..., axis2=..., dtype=..., out=...):
|
||||
...
|
||||
|
||||
def dot(self, b, out=..., strict=...):
|
||||
...
|
||||
|
||||
def sum(self, axis=..., dtype=..., out=..., keepdims=...):
|
||||
...
|
||||
|
||||
def cumsum(self, axis=..., dtype=..., out=...):
|
||||
...
|
||||
|
||||
def prod(self, axis=..., dtype=..., out=..., keepdims=...):
|
||||
...
|
||||
|
||||
product: Any
|
||||
def cumprod(self, axis=..., dtype=..., out=...):
|
||||
...
|
||||
|
||||
def mean(self, axis=..., dtype=..., out=..., keepdims=...):
|
||||
...
|
||||
|
||||
def anom(self, axis=..., dtype=...):
|
||||
...
|
||||
|
||||
def var(self, axis=..., dtype=..., out=..., ddof=..., keepdims=...):
|
||||
...
|
||||
|
||||
def std(self, axis=..., dtype=..., out=..., ddof=..., keepdims=...):
|
||||
...
|
||||
|
||||
def round(self, decimals=..., out=...):
|
||||
...
|
||||
|
||||
def argsort(self, axis=..., kind=..., order=..., endwith=..., fill_value=...):
|
||||
...
|
||||
|
||||
def argmin(self, axis=..., fill_value=..., out=..., *, keepdims=...):
|
||||
...
|
||||
|
||||
def argmax(self, axis=..., fill_value=..., out=..., *, keepdims=...):
|
||||
...
|
||||
|
||||
def sort(self, axis=..., kind=..., order=..., endwith=..., fill_value=...):
|
||||
...
|
||||
|
||||
def min(self, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
def max(self, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
def ptp(self, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
def partition(self, *args, **kwargs):
|
||||
...
|
||||
|
||||
def argpartition(self, *args, **kwargs):
|
||||
...
|
||||
|
||||
def take(self, indices, axis=..., out=..., mode=...):
|
||||
...
|
||||
|
||||
copy: Any
|
||||
diagonal: Any
|
||||
flatten: Any
|
||||
repeat: Any
|
||||
squeeze: Any
|
||||
swapaxes: Any
|
||||
T: Any
|
||||
transpose: Any
|
||||
def tolist(self, fill_value=...):
|
||||
...
|
||||
|
||||
def tobytes(self, fill_value=..., order=...):
|
||||
...
|
||||
|
||||
def tofile(self, fid, sep=..., format=...):
|
||||
...
|
||||
|
||||
def toflex(self):
|
||||
...
|
||||
|
||||
torecords: Any
|
||||
def __reduce__(self):
|
||||
...
|
||||
|
||||
def __deepcopy__(self, memo=...):
|
||||
...
|
||||
|
||||
|
||||
|
||||
class mvoid(MaskedArray[_ShapeType, _DType_co]):
|
||||
def __new__(self, data, mask=..., dtype=..., fill_value=..., hardmask=..., copy=..., subok=...):
|
||||
...
|
||||
|
||||
def __getitem__(self, indx):
|
||||
...
|
||||
|
||||
def __setitem__(self, indx, value):
|
||||
...
|
||||
|
||||
def __iter__(self):
|
||||
...
|
||||
|
||||
def __len__(self):
|
||||
...
|
||||
|
||||
def filled(self, fill_value=...):
|
||||
...
|
||||
|
||||
def tolist(self):
|
||||
...
|
||||
|
||||
|
||||
|
||||
def isMaskedArray(x):
|
||||
...
|
||||
|
||||
isarray = ...
|
||||
isMA = ...
|
||||
class MaskedConstant(MaskedArray[Any, dtype[float64]]):
|
||||
def __new__(cls):
|
||||
...
|
||||
|
||||
__class__: Any
|
||||
def __array_finalize__(self, obj):
|
||||
...
|
||||
|
||||
def __array_prepare__(self, obj, context=...):
|
||||
...
|
||||
|
||||
def __array_wrap__(self, obj, context=...):
|
||||
...
|
||||
|
||||
def __format__(self, format_spec):
|
||||
...
|
||||
|
||||
def __reduce__(self):
|
||||
...
|
||||
|
||||
def __iop__(self, other):
|
||||
...
|
||||
|
||||
__iadd__: Any
|
||||
__isub__: Any
|
||||
__imul__: Any
|
||||
__ifloordiv__: Any
|
||||
__itruediv__: Any
|
||||
__ipow__: Any
|
||||
def copy(self, *args, **kwargs):
|
||||
...
|
||||
|
||||
def __copy__(self):
|
||||
...
|
||||
|
||||
def __deepcopy__(self, memo):
|
||||
...
|
||||
|
||||
def __setattr__(self, attr, value):
|
||||
...
|
||||
|
||||
|
||||
|
||||
masked: MaskedConstant
|
||||
masked_singleton: MaskedConstant
|
||||
masked_array = MaskedArray
|
||||
def array(data, dtype=..., copy=..., order=..., mask=..., fill_value=..., keep_mask=..., hard_mask=..., shrink=..., subok=..., ndmin=...):
|
||||
...
|
||||
|
||||
def is_masked(x):
|
||||
...
|
||||
|
||||
class _extrema_operation(_MaskedUFunc):
|
||||
compare: Any
|
||||
fill_value_func: Any
|
||||
def __init__(self, ufunc, compare, fill_value) -> None:
|
||||
...
|
||||
|
||||
def __call__(self, a, b):
|
||||
...
|
||||
|
||||
def reduce(self, target, axis=...):
|
||||
...
|
||||
|
||||
def outer(self, a, b):
|
||||
...
|
||||
|
||||
|
||||
|
||||
def min(obj, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
def max(obj, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
def ptp(obj, axis=..., out=..., fill_value=..., keepdims=...):
|
||||
...
|
||||
|
||||
class _frommethod:
|
||||
__name__: Any
|
||||
__doc__: Any
|
||||
reversed: Any
|
||||
def __init__(self, methodname, reversed=...) -> None:
|
||||
...
|
||||
|
||||
def getdoc(self):
|
||||
...
|
||||
|
||||
def __call__(self, a, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
all: _frommethod
|
||||
anomalies: _frommethod
|
||||
anom: _frommethod
|
||||
any: _frommethod
|
||||
compress: _frommethod
|
||||
cumprod: _frommethod
|
||||
cumsum: _frommethod
|
||||
copy: _frommethod
|
||||
diagonal: _frommethod
|
||||
harden_mask: _frommethod
|
||||
ids: _frommethod
|
||||
mean: _frommethod
|
||||
nonzero: _frommethod
|
||||
prod: _frommethod
|
||||
product: _frommethod
|
||||
ravel: _frommethod
|
||||
repeat: _frommethod
|
||||
soften_mask: _frommethod
|
||||
std: _frommethod
|
||||
sum: _frommethod
|
||||
swapaxes: _frommethod
|
||||
trace: _frommethod
|
||||
var: _frommethod
|
||||
count: _frommethod
|
||||
argmin: _frommethod
|
||||
argmax: _frommethod
|
||||
minimum: _extrema_operation
|
||||
maximum: _extrema_operation
|
||||
def take(a, indices, axis=..., out=..., mode=...):
|
||||
...
|
||||
|
||||
def power(a, b, third=...):
|
||||
...
|
||||
|
||||
def argsort(a, axis=..., kind=..., order=..., endwith=..., fill_value=...):
|
||||
...
|
||||
|
||||
def sort(a, axis=..., kind=..., order=..., endwith=..., fill_value=...):
|
||||
...
|
||||
|
||||
def compressed(x):
|
||||
...
|
||||
|
||||
def concatenate(arrays, axis=...):
|
||||
...
|
||||
|
||||
def diag(v, k=...):
|
||||
...
|
||||
|
||||
def left_shift(a, n):
|
||||
...
|
||||
|
||||
def right_shift(a, n):
|
||||
...
|
||||
|
||||
def put(a, indices, values, mode=...):
|
||||
...
|
||||
|
||||
def putmask(a, mask, values):
|
||||
...
|
||||
|
||||
def transpose(a, axes=...):
|
||||
...
|
||||
|
||||
def reshape(a, new_shape, order=...):
|
||||
...
|
||||
|
||||
def resize(x, new_shape):
|
||||
...
|
||||
|
||||
def ndim(obj):
|
||||
...
|
||||
|
||||
def shape(obj):
|
||||
...
|
||||
|
||||
def size(obj, axis=...):
|
||||
...
|
||||
|
||||
def diff(a, /, n=..., axis=..., prepend=..., append=...):
|
||||
...
|
||||
|
||||
def where(condition, x=..., y=...):
|
||||
...
|
||||
|
||||
def choose(indices, choices, out=..., mode=...):
|
||||
...
|
||||
|
||||
def round(a, decimals=..., out=...):
|
||||
...
|
||||
|
||||
def inner(a, b):
|
||||
...
|
||||
|
||||
innerproduct = ...
|
||||
def outer(a, b):
|
||||
...
|
||||
|
||||
outerproduct = ...
|
||||
def correlate(a, v, mode=..., propagate_mask=...):
|
||||
...
|
||||
|
||||
def convolve(a, v, mode=..., propagate_mask=...):
|
||||
...
|
||||
|
||||
def allequal(a, b, fill_value=...):
|
||||
...
|
||||
|
||||
def allclose(a, b, masked_equal=..., rtol=..., atol=...):
|
||||
...
|
||||
|
||||
def asarray(a, dtype=..., order=...):
|
||||
...
|
||||
|
||||
def asanyarray(a, dtype=...):
|
||||
...
|
||||
|
||||
def fromflex(fxarray):
|
||||
...
|
||||
|
||||
class _convert2ma:
|
||||
__doc__: Any
|
||||
def __init__(self, funcname, params=...) -> None:
|
||||
...
|
||||
|
||||
def getdoc(self):
|
||||
...
|
||||
|
||||
def __call__(self, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
arange: _convert2ma
|
||||
empty: _convert2ma
|
||||
empty_like: _convert2ma
|
||||
frombuffer: _convert2ma
|
||||
fromfunction: _convert2ma
|
||||
identity: _convert2ma
|
||||
ones: _convert2ma
|
||||
zeros: _convert2ma
|
||||
def append(a, b, axis=...):
|
||||
...
|
||||
|
||||
def dot(a, b, strict=..., out=...):
|
||||
...
|
||||
|
||||
def mask_rowcols(a, axis=...):
|
||||
...
|
||||
|
||||
165
typings/numpy/ma/extras.pyi
Normal file
165
typings/numpy/ma/extras.pyi
Normal file
|
|
@ -0,0 +1,165 @@
|
|||
"""
|
||||
This type stub file was generated by pyright.
|
||||
"""
|
||||
|
||||
from typing import Any
|
||||
from numpy.lib.index_tricks import AxisConcatenator
|
||||
|
||||
__all__: list[str]
|
||||
def count_masked(arr, axis=...):
|
||||
...
|
||||
|
||||
def masked_all(shape, dtype=...):
|
||||
...
|
||||
|
||||
def masked_all_like(arr):
|
||||
...
|
||||
|
||||
class _fromnxfunction:
|
||||
__name__: Any
|
||||
__doc__: Any
|
||||
def __init__(self, funcname) -> None:
|
||||
...
|
||||
|
||||
def getdoc(self):
|
||||
...
|
||||
|
||||
def __call__(self, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
class _fromnxfunction_single(_fromnxfunction):
|
||||
def __call__(self, x, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
class _fromnxfunction_seq(_fromnxfunction):
|
||||
def __call__(self, x, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
class _fromnxfunction_allargs(_fromnxfunction):
|
||||
def __call__(self, *args, **params):
|
||||
...
|
||||
|
||||
|
||||
|
||||
atleast_1d: _fromnxfunction_allargs
|
||||
atleast_2d: _fromnxfunction_allargs
|
||||
atleast_3d: _fromnxfunction_allargs
|
||||
vstack: _fromnxfunction_seq
|
||||
row_stack: _fromnxfunction_seq
|
||||
hstack: _fromnxfunction_seq
|
||||
column_stack: _fromnxfunction_seq
|
||||
dstack: _fromnxfunction_seq
|
||||
stack: _fromnxfunction_seq
|
||||
hsplit: _fromnxfunction_single
|
||||
diagflat: _fromnxfunction_single
|
||||
def apply_along_axis(func1d, axis, arr, *args, **kwargs):
|
||||
...
|
||||
|
||||
def apply_over_axes(func, a, axes):
|
||||
...
|
||||
|
||||
def average(a, axis=..., weights=..., returned=..., keepdims=...):
|
||||
...
|
||||
|
||||
def median(a, axis=..., out=..., overwrite_input=..., keepdims=...):
|
||||
...
|
||||
|
||||
def compress_nd(x, axis=...):
|
||||
...
|
||||
|
||||
def compress_rowcols(x, axis=...):
|
||||
...
|
||||
|
||||
def compress_rows(a):
|
||||
...
|
||||
|
||||
def compress_cols(a):
|
||||
...
|
||||
|
||||
def mask_rows(a, axis=...):
|
||||
...
|
||||
|
||||
def mask_cols(a, axis=...):
|
||||
...
|
||||
|
||||
def ediff1d(arr, to_end=..., to_begin=...):
|
||||
...
|
||||
|
||||
def unique(ar1, return_index=..., return_inverse=...):
|
||||
...
|
||||
|
||||
def intersect1d(ar1, ar2, assume_unique=...):
|
||||
...
|
||||
|
||||
def setxor1d(ar1, ar2, assume_unique=...):
|
||||
...
|
||||
|
||||
def in1d(ar1, ar2, assume_unique=..., invert=...):
|
||||
...
|
||||
|
||||
def isin(element, test_elements, assume_unique=..., invert=...):
|
||||
...
|
||||
|
||||
def union1d(ar1, ar2):
|
||||
...
|
||||
|
||||
def setdiff1d(ar1, ar2, assume_unique=...):
|
||||
...
|
||||
|
||||
def cov(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...):
|
||||
...
|
||||
|
||||
def corrcoef(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...):
|
||||
...
|
||||
|
||||
class MAxisConcatenator(AxisConcatenator):
|
||||
concatenate: Any
|
||||
@classmethod
|
||||
def makemat(cls, arr):
|
||||
...
|
||||
|
||||
def __getitem__(self, key):
|
||||
...
|
||||
|
||||
|
||||
|
||||
class mr_class(MAxisConcatenator):
|
||||
def __init__(self) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
mr_: mr_class
|
||||
def ndenumerate(a, compressed=...):
|
||||
...
|
||||
|
||||
def flatnotmasked_edges(a):
|
||||
...
|
||||
|
||||
def notmasked_edges(a, axis=...):
|
||||
...
|
||||
|
||||
def flatnotmasked_contiguous(a):
|
||||
...
|
||||
|
||||
def notmasked_contiguous(a, axis=...):
|
||||
...
|
||||
|
||||
def clump_unmasked(a):
|
||||
...
|
||||
|
||||
def clump_masked(a):
|
||||
...
|
||||
|
||||
def vander(x, n=...):
|
||||
...
|
||||
|
||||
def polyfit(x, y, deg, rcond=..., full=..., w=..., cov=...):
|
||||
...
|
||||
|
||||
68
typings/numpy/ma/mrecords.pyi
Normal file
68
typings/numpy/ma/mrecords.pyi
Normal file
|
|
@ -0,0 +1,68 @@
|
|||
"""
|
||||
This type stub file was generated by pyright.
|
||||
"""
|
||||
|
||||
from typing import Any, TypeVar
|
||||
from numpy import dtype
|
||||
from numpy.ma import MaskedArray
|
||||
|
||||
__all__: list[str]
|
||||
_ShapeType = TypeVar("_ShapeType", bound=Any)
|
||||
_DType_co = TypeVar("_DType_co", bound=dtype[Any], covariant=True)
|
||||
class MaskedRecords(MaskedArray[_ShapeType, _DType_co]):
|
||||
def __new__(cls, shape, dtype=..., buf=..., offset=..., strides=..., formats=..., names=..., titles=..., byteorder=..., aligned=..., mask=..., hard_mask=..., fill_value=..., keep_mask=..., copy=..., **options):
|
||||
...
|
||||
|
||||
_mask: Any
|
||||
_fill_value: Any
|
||||
def __array_finalize__(self, obj):
|
||||
...
|
||||
|
||||
def __len__(self):
|
||||
...
|
||||
|
||||
def __getattribute__(self, attr):
|
||||
...
|
||||
|
||||
def __setattr__(self, attr, val):
|
||||
...
|
||||
|
||||
def __getitem__(self, indx):
|
||||
...
|
||||
|
||||
def __setitem__(self, indx, value):
|
||||
...
|
||||
|
||||
def view(self, dtype=..., type=...):
|
||||
...
|
||||
|
||||
def harden_mask(self):
|
||||
...
|
||||
|
||||
def soften_mask(self):
|
||||
...
|
||||
|
||||
def copy(self):
|
||||
...
|
||||
|
||||
def tolist(self, fill_value=...):
|
||||
...
|
||||
|
||||
def __reduce__(self):
|
||||
...
|
||||
|
||||
|
||||
|
||||
mrecarray = MaskedRecords
|
||||
def fromarrays(arraylist, dtype=..., shape=..., formats=..., names=..., titles=..., aligned=..., byteorder=..., fill_value=...):
|
||||
...
|
||||
|
||||
def fromrecords(reclist, dtype=..., shape=..., formats=..., names=..., titles=..., aligned=..., byteorder=..., fill_value=..., mask=...):
|
||||
...
|
||||
|
||||
def fromtextfile(fname, delimiter=..., commentchar=..., missingchar=..., varnames=..., vartypes=...):
|
||||
...
|
||||
|
||||
def addfield(mrecord, newfield, newfieldname=...):
|
||||
...
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue