40 lines
937 B
Python
40 lines
937 B
Python
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)
|