forked from numpy/numpy
/
fromnumeric.pyi
270 lines (228 loc) · 9.87 KB
/
fromnumeric.pyi
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"""Tests for :mod:`core.fromnumeric`."""
import numpy as np
A = np.array(True, ndmin=2, dtype=bool)
B = np.array(1.0, ndmin=2, dtype=np.float32)
A.setflags(write=False)
B.setflags(write=False)
a = np.bool_(True)
b = np.float32(1.0)
c = 1.0
d = np.array(1.0, dtype=np.float32) # writeable
reveal_type(np.take(a, 0)) # E: Any
reveal_type(np.take(b, 0)) # E: Any
reveal_type(np.take(c, 0)) # E: Any
reveal_type(np.take(A, 0)) # E: Any
reveal_type(np.take(B, 0)) # E: Any
reveal_type(np.take(A, [0])) # E: Any
reveal_type(np.take(B, [0])) # E: Any
reveal_type(np.reshape(a, 1)) # E: ndarray[Any, Any]
reveal_type(np.reshape(b, 1)) # E: ndarray[Any, Any]
reveal_type(np.reshape(c, 1)) # E: ndarray[Any, Any]
reveal_type(np.reshape(A, 1)) # E: ndarray[Any, Any]
reveal_type(np.reshape(B, 1)) # E: ndarray[Any, Any]
reveal_type(np.choose(a, [True, True])) # E: Any
reveal_type(np.choose(A, [True, True])) # E: Any
reveal_type(np.repeat(a, 1)) # E: ndarray[Any, Any]
reveal_type(np.repeat(b, 1)) # E: ndarray[Any, Any]
reveal_type(np.repeat(c, 1)) # E: ndarray[Any, Any]
reveal_type(np.repeat(A, 1)) # E: ndarray[Any, Any]
reveal_type(np.repeat(B, 1)) # E: ndarray[Any, Any]
# TODO: Add tests for np.put()
reveal_type(np.swapaxes(A, 0, 0)) # E: ndarray[Any, Any]
reveal_type(np.swapaxes(B, 0, 0)) # E: ndarray[Any, Any]
reveal_type(np.transpose(a)) # E: ndarray[Any, Any]
reveal_type(np.transpose(b)) # E: ndarray[Any, Any]
reveal_type(np.transpose(c)) # E: ndarray[Any, Any]
reveal_type(np.transpose(A)) # E: ndarray[Any, Any]
reveal_type(np.transpose(B)) # E: ndarray[Any, Any]
reveal_type(np.partition(a, 0, axis=None)) # E: ndarray[Any, Any]
reveal_type(np.partition(b, 0, axis=None)) # E: ndarray[Any, Any]
reveal_type(np.partition(c, 0, axis=None)) # E: ndarray[Any, Any]
reveal_type(np.partition(A, 0)) # E: ndarray[Any, Any]
reveal_type(np.partition(B, 0)) # E: ndarray[Any, Any]
reveal_type(np.argpartition(a, 0)) # E: Any
reveal_type(np.argpartition(b, 0)) # E: Any
reveal_type(np.argpartition(c, 0)) # E: Any
reveal_type(np.argpartition(A, 0)) # E: Any
reveal_type(np.argpartition(B, 0)) # E: Any
reveal_type(np.sort(A, 0)) # E: ndarray[Any, Any]
reveal_type(np.sort(B, 0)) # E: ndarray[Any, Any]
reveal_type(np.argsort(A, 0)) # E: ndarray[Any, Any]
reveal_type(np.argsort(B, 0)) # E: ndarray[Any, Any]
reveal_type(np.argmax(A)) # E: {intp}
reveal_type(np.argmax(B)) # E: {intp}
reveal_type(np.argmax(A, axis=0)) # E: Any
reveal_type(np.argmax(B, axis=0)) # E: Any
reveal_type(np.argmin(A)) # E: {intp}
reveal_type(np.argmin(B)) # E: {intp}
reveal_type(np.argmin(A, axis=0)) # E: Any
reveal_type(np.argmin(B, axis=0)) # E: Any
reveal_type(np.searchsorted(A[0], 0)) # E: {intp}
reveal_type(np.searchsorted(B[0], 0)) # E: {intp}
reveal_type(np.searchsorted(A[0], [0])) # E: ndarray[Any, Any]
reveal_type(np.searchsorted(B[0], [0])) # E: ndarray[Any, Any]
reveal_type(np.resize(a, (5, 5))) # E: ndarray[Any, Any]
reveal_type(np.resize(b, (5, 5))) # E: ndarray[Any, Any]
reveal_type(np.resize(c, (5, 5))) # E: ndarray[Any, Any]
reveal_type(np.resize(A, (5, 5))) # E: ndarray[Any, Any]
reveal_type(np.resize(B, (5, 5))) # E: ndarray[Any, Any]
reveal_type(np.squeeze(a)) # E: bool_
reveal_type(np.squeeze(b)) # E: {float32}
reveal_type(np.squeeze(c)) # E: ndarray[Any, Any]
reveal_type(np.squeeze(A)) # E: ndarray[Any, Any]
reveal_type(np.squeeze(B)) # E: ndarray[Any, Any]
reveal_type(np.diagonal(A)) # E: ndarray[Any, Any]
reveal_type(np.diagonal(B)) # E: ndarray[Any, Any]
reveal_type(np.trace(A)) # E: Any
reveal_type(np.trace(B)) # E: Any
reveal_type(np.ravel(a)) # E: ndarray[Any, Any]
reveal_type(np.ravel(b)) # E: ndarray[Any, Any]
reveal_type(np.ravel(c)) # E: ndarray[Any, Any]
reveal_type(np.ravel(A)) # E: ndarray[Any, Any]
reveal_type(np.ravel(B)) # E: ndarray[Any, Any]
reveal_type(np.ravel(b)) # E: ndarray[Any, dtype[bool_]]
reveal_type(np.ravel(f4)) # E: ndarray[Any, dtype[{float32}]]
reveal_type(np.ravel(f)) # E: ndarray[Any, dtype[Any]]
reveal_type(np.ravel(AR_b)) # E: ndarray[Any, dtype[bool_]]
reveal_type(np.ravel(AR_f4)) # E: ndarray[Any, dtype[{float32}]]
reveal_type(np.nonzero(b)) # E: tuple[ndarray[Any, dtype[{intp}]], ...]
reveal_type(np.nonzero(f4)) # E: tuple[ndarray[Any, dtype[{intp}]], ...]
reveal_type(np.nonzero(f)) # E: tuple[ndarray[Any, dtype[{intp}]], ...]
reveal_type(np.nonzero(AR_b)) # E: tuple[ndarray[Any, dtype[{intp}]], ...]
reveal_type(np.nonzero(AR_f4)) # E: tuple[ndarray[Any, dtype[{intp}]], ...]
reveal_type(np.shape(b)) # E: tuple[builtins.int, ...]
reveal_type(np.shape(f4)) # E: tuple[builtins.int, ...]
reveal_type(np.shape(f)) # E: tuple[builtins.int, ...]
reveal_type(np.shape(AR_b)) # E: tuple[builtins.int, ...]
reveal_type(np.shape(AR_f4)) # E: tuple[builtins.int, ...]
reveal_type(np.compress([True], a)) # E: ndarray[Any, Any]
reveal_type(np.compress([True], b)) # E: ndarray[Any, Any]
reveal_type(np.compress([True], c)) # E: ndarray[Any, Any]
reveal_type(np.compress([True], A)) # E: ndarray[Any, Any]
reveal_type(np.compress([True], B)) # E: ndarray[Any, Any]
reveal_type(np.clip(a, 0, 1.0)) # E: Any
reveal_type(np.clip(b, -1, 1)) # E: Any
reveal_type(np.clip(c, 0, 1)) # E: Any
reveal_type(np.clip(A, 0, 1)) # E: Any
reveal_type(np.clip(B, 0, 1)) # E: Any
reveal_type(np.sum(a)) # E: Any
reveal_type(np.sum(b)) # E: Any
reveal_type(np.sum(c)) # E: Any
reveal_type(np.sum(A)) # E: Any
reveal_type(np.sum(B)) # E: Any
reveal_type(np.sum(A, axis=0)) # E: Any
reveal_type(np.sum(B, axis=0)) # E: Any
reveal_type(np.all(a)) # E: bool_
reveal_type(np.all(b)) # E: bool_
reveal_type(np.all(c)) # E: bool_
reveal_type(np.all(A)) # E: bool_
reveal_type(np.all(B)) # E: bool_
reveal_type(np.all(A, axis=0)) # E: Any
reveal_type(np.all(B, axis=0)) # E: Any
reveal_type(np.all(A, keepdims=True)) # E: Any
reveal_type(np.all(B, keepdims=True)) # E: Any
reveal_type(np.any(a)) # E: bool_
reveal_type(np.any(b)) # E: bool_
reveal_type(np.any(c)) # E: bool_
reveal_type(np.any(A)) # E: bool_
reveal_type(np.any(B)) # E: bool_
reveal_type(np.any(A, axis=0)) # E: Any
reveal_type(np.any(B, axis=0)) # E: Any
reveal_type(np.any(A, keepdims=True)) # E: Any
reveal_type(np.any(B, keepdims=True)) # E: Any
reveal_type(np.cumsum(a)) # E: ndarray[Any, Any]
reveal_type(np.cumsum(b)) # E: ndarray[Any, Any]
reveal_type(np.cumsum(c)) # E: ndarray[Any, Any]
reveal_type(np.cumsum(A)) # E: ndarray[Any, Any]
reveal_type(np.cumsum(B)) # E: ndarray[Any, Any]
reveal_type(np.ptp(a)) # E: Any
reveal_type(np.ptp(b)) # E: Any
reveal_type(np.ptp(c)) # E: Any
reveal_type(np.ptp(A)) # E: Any
reveal_type(np.ptp(B)) # E: Any
reveal_type(np.ptp(A, axis=0)) # E: Any
reveal_type(np.ptp(B, axis=0)) # E: Any
reveal_type(np.ptp(A, keepdims=True)) # E: Any
reveal_type(np.ptp(B, keepdims=True)) # E: Any
reveal_type(np.amax(a)) # E: Any
reveal_type(np.amax(b)) # E: Any
reveal_type(np.amax(c)) # E: Any
reveal_type(np.amax(A)) # E: Any
reveal_type(np.amax(B)) # E: Any
reveal_type(np.amax(A, axis=0)) # E: Any
reveal_type(np.amax(B, axis=0)) # E: Any
reveal_type(np.amax(A, keepdims=True)) # E: Any
reveal_type(np.amax(B, keepdims=True)) # E: Any
reveal_type(np.amin(a)) # E: Any
reveal_type(np.amin(b)) # E: Any
reveal_type(np.amin(c)) # E: Any
reveal_type(np.amin(A)) # E: Any
reveal_type(np.amin(B)) # E: Any
reveal_type(np.amin(A, axis=0)) # E: Any
reveal_type(np.amin(B, axis=0)) # E: Any
reveal_type(np.amin(A, keepdims=True)) # E: Any
reveal_type(np.amin(B, keepdims=True)) # E: Any
reveal_type(np.prod(a)) # E: Any
reveal_type(np.prod(b)) # E: Any
reveal_type(np.prod(c)) # E: Any
reveal_type(np.prod(A)) # E: Any
reveal_type(np.prod(B)) # E: Any
reveal_type(np.prod(A, axis=0)) # E: Any
reveal_type(np.prod(B, axis=0)) # E: Any
reveal_type(np.prod(A, keepdims=True)) # E: Any
reveal_type(np.prod(B, keepdims=True)) # E: Any
reveal_type(np.prod(b, out=d)) # E: Any
reveal_type(np.prod(B, out=d)) # E: Any
reveal_type(np.cumprod(a)) # E: ndarray[Any, Any]
reveal_type(np.cumprod(b)) # E: ndarray[Any, Any]
reveal_type(np.cumprod(c)) # E: ndarray[Any, Any]
reveal_type(np.cumprod(A)) # E: ndarray[Any, Any]
reveal_type(np.cumprod(B)) # E: ndarray[Any, Any]
reveal_type(np.ndim(a)) # E: int
reveal_type(np.ndim(b)) # E: int
reveal_type(np.ndim(c)) # E: int
reveal_type(np.ndim(A)) # E: int
reveal_type(np.ndim(B)) # E: int
reveal_type(np.size(a)) # E: int
reveal_type(np.size(b)) # E: int
reveal_type(np.size(c)) # E: int
reveal_type(np.size(A)) # E: int
reveal_type(np.size(B)) # E: int
reveal_type(np.around(a)) # E: Any
reveal_type(np.around(b)) # E: Any
reveal_type(np.around(c)) # E: Any
reveal_type(np.around(A)) # E: Any
reveal_type(np.around(B)) # E: Any
reveal_type(np.mean(a)) # E: Any
reveal_type(np.mean(b)) # E: Any
reveal_type(np.mean(c)) # E: Any
reveal_type(np.mean(A)) # E: Any
reveal_type(np.mean(B)) # E: Any
reveal_type(np.mean(A, axis=0)) # E: Any
reveal_type(np.mean(B, axis=0)) # E: Any
reveal_type(np.mean(A, keepdims=True)) # E: Any
reveal_type(np.mean(B, keepdims=True)) # E: Any
reveal_type(np.mean(b, out=d)) # E: Any
reveal_type(np.mean(B, out=d)) # E: Any
reveal_type(np.std(a)) # E: Any
reveal_type(np.std(b)) # E: Any
reveal_type(np.std(c)) # E: Any
reveal_type(np.std(A)) # E: Any
reveal_type(np.std(B)) # E: Any
reveal_type(np.std(A, axis=0)) # E: Any
reveal_type(np.std(B, axis=0)) # E: Any
reveal_type(np.std(A, keepdims=True)) # E: Any
reveal_type(np.std(B, keepdims=True)) # E: Any
reveal_type(np.std(b, out=d)) # E: Any
reveal_type(np.std(B, out=d)) # E: Any
reveal_type(np.var(a)) # E: Any
reveal_type(np.var(b)) # E: Any
reveal_type(np.var(c)) # E: Any
reveal_type(np.var(A)) # E: Any
reveal_type(np.var(B)) # E: Any
reveal_type(np.var(A, axis=0)) # E: Any
reveal_type(np.var(B, axis=0)) # E: Any
reveal_type(np.var(A, keepdims=True)) # E: Any
reveal_type(np.var(B, keepdims=True)) # E: Any
reveal_type(np.var(b, out=d)) # E: Any
reveal_type(np.var(B, out=d)) # E: Any