| from collections.abc import Callable | |
| from typing import Any, TypeVar | |
| from numpy import ndarray, dtype, float64 | |
| from numpy import ( | |
| amax as amax, | |
| amin as amin, | |
| bool as bool, | |
| expand_dims as expand_dims, | |
| clip as clip, | |
| indices as indices, | |
| ones_like as ones_like, | |
| squeeze as squeeze, | |
| zeros_like as zeros_like, | |
| angle as angle | |
| ) | |
| _ShapeType_co = TypeVar("_ShapeType_co", bound=tuple[int, ...], covariant=True) | |
| _DType_co = TypeVar("_DType_co", bound=dtype[Any], covariant=True) | |
| __all__: list[str] | |
| MaskType = bool | |
| nomask: bool | |
| class MaskedArrayFutureWarning(FutureWarning): ... | |
| class MAError(Exception): ... | |
| class MaskError(MAError): ... | |
| def default_fill_value(obj): ... | |
| def minimum_fill_value(obj): ... | |
| def maximum_fill_value(obj): ... | |
| def set_fill_value(a, fill_value): ... | |
| def common_fill_value(a, b): ... | |
| def filled(a, fill_value=...): ... | |
| def getdata(a, subok=...): ... | |
| get_data = getdata | |
| def fix_invalid(a, mask=..., copy=..., fill_value=...): ... | |
| class _MaskedUFunc: | |
| f: Any | |
| __doc__: Any | |
| __name__: Any | |
| def __init__(self, ufunc): ... | |
| class _MaskedUnaryOperation(_MaskedUFunc): | |
| fill: Any | |
| domain: Any | |
| def __init__(self, mufunc, fill=..., domain=...): ... | |
| def __call__(self, a, *args, **kwargs): ... | |
| class _MaskedBinaryOperation(_MaskedUFunc): | |
| fillx: Any | |
| filly: Any | |
| def __init__(self, mbfunc, fillx=..., filly=...): ... | |
| def __call__(self, a, b, *args, **kwargs): ... | |
| def reduce(self, target, axis=..., dtype=...): ... | |
| def outer(self, a, b): ... | |
| def accumulate(self, target, axis=...): ... | |
| class _DomainedBinaryOperation(_MaskedUFunc): | |
| domain: Any | |
| fillx: Any | |
| filly: Any | |
| def __init__(self, dbfunc, domain, fillx=..., filly=...): ... | |
| def __call__(self, a, b, *args, **kwargs): ... | |
| exp: _MaskedUnaryOperation | |
| conjugate: _MaskedUnaryOperation | |
| sin: _MaskedUnaryOperation | |
| cos: _MaskedUnaryOperation | |
| arctan: _MaskedUnaryOperation | |
| arcsinh: _MaskedUnaryOperation | |
| sinh: _MaskedUnaryOperation | |
| cosh: _MaskedUnaryOperation | |
| tanh: _MaskedUnaryOperation | |
| abs: _MaskedUnaryOperation | |
| absolute: _MaskedUnaryOperation | |
| fabs: _MaskedUnaryOperation | |
| negative: _MaskedUnaryOperation | |
| floor: _MaskedUnaryOperation | |
| ceil: _MaskedUnaryOperation | |
| around: _MaskedUnaryOperation | |
| logical_not: _MaskedUnaryOperation | |
| sqrt: _MaskedUnaryOperation | |
| log: _MaskedUnaryOperation | |
| log2: _MaskedUnaryOperation | |
| log10: _MaskedUnaryOperation | |
| tan: _MaskedUnaryOperation | |
| arcsin: _MaskedUnaryOperation | |
| arccos: _MaskedUnaryOperation | |
| arccosh: _MaskedUnaryOperation | |
| arctanh: _MaskedUnaryOperation | |
| add: _MaskedBinaryOperation | |
| subtract: _MaskedBinaryOperation | |
| multiply: _MaskedBinaryOperation | |
| arctan2: _MaskedBinaryOperation | |
| equal: _MaskedBinaryOperation | |
| not_equal: _MaskedBinaryOperation | |
| less_equal: _MaskedBinaryOperation | |
| greater_equal: _MaskedBinaryOperation | |
| less: _MaskedBinaryOperation | |
| greater: _MaskedBinaryOperation | |
| logical_and: _MaskedBinaryOperation | |
| alltrue: _MaskedBinaryOperation | |
| logical_or: _MaskedBinaryOperation | |
| sometrue: Callable[..., Any] | |
| logical_xor: _MaskedBinaryOperation | |
| bitwise_and: _MaskedBinaryOperation | |
| bitwise_or: _MaskedBinaryOperation | |
| bitwise_xor: _MaskedBinaryOperation | |
| hypot: _MaskedBinaryOperation | |
| divide: _MaskedBinaryOperation | |
| true_divide: _MaskedBinaryOperation | |
| floor_divide: _MaskedBinaryOperation | |
| remainder: _MaskedBinaryOperation | |
| fmod: _MaskedBinaryOperation | |
| mod: _MaskedBinaryOperation | |
| def make_mask_descr(ndtype): ... | |
| def getmask(a): ... | |
| get_mask = getmask | |
| def getmaskarray(arr): ... | |
| def is_mask(m): ... | |
| def make_mask(m, copy=..., shrink=..., dtype=...): ... | |
| def make_mask_none(newshape, dtype=...): ... | |
| def mask_or(m1, m2, copy=..., shrink=...): ... | |
| def flatten_mask(mask): ... | |
| def masked_where(condition, a, copy=...): ... | |
| def masked_greater(x, value, copy=...): ... | |
| def masked_greater_equal(x, value, copy=...): ... | |
| def masked_less(x, value, copy=...): ... | |
| def masked_less_equal(x, value, copy=...): ... | |
| def masked_not_equal(x, value, copy=...): ... | |
| def masked_equal(x, value, copy=...): ... | |
| def masked_inside(x, v1, v2, copy=...): ... | |
| def masked_outside(x, v1, v2, copy=...): ... | |
| def masked_object(x, value, copy=..., shrink=...): ... | |
| def masked_values(x, value, rtol=..., atol=..., copy=..., shrink=...): ... | |
| def masked_invalid(a, copy=...): ... | |
| class _MaskedPrintOption: | |
| def __init__(self, display): ... | |
| def display(self): ... | |
| def set_display(self, s): ... | |
| def enabled(self): ... | |
| def enable(self, shrink=...): ... | |
| masked_print_option: _MaskedPrintOption | |
| def flatten_structured_array(a): ... | |
| class MaskedIterator: | |
| ma: Any | |
| dataiter: Any | |
| maskiter: Any | |
| def __init__(self, ma): ... | |
| def __iter__(self): ... | |
| def __getitem__(self, indx): ... | |
| def __setitem__(self, index, value): ... | |
| def __next__(self): ... | |
| class MaskedArray(ndarray[_ShapeType_co, _DType_co]): | |
| __array_priority__: Any | |
| def __new__(cls, data=..., mask=..., dtype=..., copy=..., subok=..., ndmin=..., fill_value=..., keep_mask=..., hard_mask=..., shrink=..., order=...): ... | |
| def __array_finalize__(self, obj): ... | |
| def __array_wrap__(self, obj, context=..., return_scalar=...): ... | |
| def view(self, dtype=..., type=..., fill_value=...): ... | |
| def __getitem__(self, indx): ... | |
| def __setitem__(self, indx, value): ... | |
| @property | |
| def dtype(self): ... | |
| @dtype.setter | |
| def dtype(self, dtype): ... | |
| @property | |
| def shape(self): ... | |
| @shape.setter | |
| def shape(self, shape): ... | |
| def __setmask__(self, mask, copy=...): ... | |
| @property | |
| def mask(self): ... | |
| @mask.setter | |
| def mask(self, value): ... | |
| @property | |
| def recordmask(self): ... | |
| @recordmask.setter | |
| def recordmask(self, mask): ... | |
| def harden_mask(self): ... | |
| def soften_mask(self): ... | |
| @property | |
| def hardmask(self): ... | |
| def unshare_mask(self): ... | |
| @property | |
| def sharedmask(self): ... | |
| def shrink_mask(self): ... | |
| @property | |
| def baseclass(self): ... | |
| data: Any | |
| @property | |
| def flat(self): ... | |
| @flat.setter | |
| def flat(self, value): ... | |
| @property | |
| def fill_value(self): ... | |
| @fill_value.setter | |
| def fill_value(self, value=...): ... | |
| 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): ... | |
| def __ne__(self, other): ... | |
| def __ge__(self, other): ... | |
| def __gt__(self, other): ... | |
| def __le__(self, other): ... | |
| def __lt__(self, other): ... | |
| 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): ... | |
| @property # type: ignore[misc] | |
| def imag(self): ... | |
| get_imag: Any | |
| @property # type: ignore[misc] | |
| 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=..., stable=...): ... | |
| 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=..., stable=...): ... | |
| def min(self, axis=..., out=..., fill_value=..., keepdims=...): ... | |
| # NOTE: deprecated | |
| # def tostring(self, fill_value=..., order=...): ... | |
| 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 | |
| @property # type: ignore[misc] | |
| def mT(self): ... | |
| 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_co, _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 = isMaskedArray | |
| isMA = isMaskedArray | |
| # 0D float64 array | |
| class MaskedConstant(MaskedArray[Any, dtype[float64]]): | |
| def __new__(cls): ... | |
| __class__: Any | |
| def __array_finalize__(self, obj): ... | |
| def __array_wrap__(self, obj, context=..., return_scalar=...): ... | |
| 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): ... | |
| # NOTE: in practice `b` has a default value, but users should | |
| # explicitly provide a value here as the default is deprecated | |
| 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=...): ... | |
| 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=..., stable=...): ... | |
| def sort(a, axis=..., kind=..., order=..., endwith=..., fill_value=..., stable=...): ... | |
| 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 = inner | |
| def outer(a, b): ... | |
| outerproduct = outer | |
| 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=...): ... | |
| 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=...): ... | |