projektAI/venv/Lib/site-packages/numpy/typing/tests/data/pass/array_like.py

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2021-06-06 22:13:05 +02:00
from typing import Any, List, Optional
import numpy as np
from numpy.typing import ArrayLike, DTypeLike, _SupportsArray
x1: ArrayLike = True
x2: ArrayLike = 5
x3: ArrayLike = 1.0
x4: ArrayLike = 1 + 1j
x5: ArrayLike = np.int8(1)
x6: ArrayLike = np.float64(1)
x7: ArrayLike = np.complex128(1)
x8: ArrayLike = np.array([1, 2, 3])
x9: ArrayLike = [1, 2, 3]
x10: ArrayLike = (1, 2, 3)
x11: ArrayLike = "foo"
x12: ArrayLike = memoryview(b'foo')
class A:
def __array__(self, dtype: DTypeLike = None) -> np.ndarray:
return np.array([1, 2, 3])
x13: ArrayLike = A()
scalar: _SupportsArray = np.int64(1)
scalar.__array__(np.float64)
array: _SupportsArray = np.array(1)
array.__array__(np.float64)
a: _SupportsArray = A()
a.__array__(np.int64)
a.__array__(dtype=np.int64)
# Escape hatch for when you mean to make something like an object
# array.
object_array_scalar: Any = (i for i in range(10))
np.array(object_array_scalar)