einsumfunc.pyi 2.0 KB

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  1. from typing import Any
  2. import numpy as np
  3. AR_LIKE_b: list[bool]
  4. AR_LIKE_u: list[np.uint32]
  5. AR_LIKE_i: list[int]
  6. AR_LIKE_f: list[float]
  7. AR_LIKE_c: list[complex]
  8. AR_LIKE_U: list[str]
  9. OUT_f: np.ndarray[Any, np.dtype[np.float64]]
  10. reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Any
  11. reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Any
  12. reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Any
  13. reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Any
  14. reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Any
  15. reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Any
  16. reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Any
  17. reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f)) # E: ndarray[Any, dtype[{float64}]
  18. reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f)) # E: ndarray[Any, dtype[{float64}]
  19. reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")) # E: Any
  20. reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")) # E: Any
  21. reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Tuple[builtins.list[Any], builtins.str]
  22. reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Tuple[builtins.list[Any], builtins.str]
  23. reveal_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
  24. reveal_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Tuple[builtins.list[Any], builtins.str]
  25. reveal_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str]
  26. reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
  27. reveal_type(np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str]
  28. reveal_type(np.einsum([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Any
  29. reveal_type(np.einsum_path([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]