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- from __future__ import annotations
- from typing import Any
- import numpy as np
- AR_LIKE_b = [True, True, True]
- AR_LIKE_u = [np.uint32(1), np.uint32(2), np.uint32(3)]
- AR_LIKE_i = [1, 2, 3]
- AR_LIKE_f = [1.0, 2.0, 3.0]
- AR_LIKE_c = [1j, 2j, 3j]
- AR_LIKE_U = ["1", "2", "3"]
- OUT_f: np.ndarray[Any, np.dtype[np.float64]] = np.empty(3, dtype=np.float64)
- OUT_c: np.ndarray[Any, np.dtype[np.complex128]] = np.empty(3, dtype=np.complex128)
- np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)
- np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)
- np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)
- np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)
- np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)
- np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)
- np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)
- np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")
- np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")
- np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, out=OUT_c)
- np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=int, casting="unsafe", out=OUT_f)
- np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)
- np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)
- np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)
- np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)
- np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)
- np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)
- np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)
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