Dashboard
PHP:
8.2.30
OS:
Linux
User:
dh_nv8b2m
/
/
usr
/
lib
/
python3
/
dist-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
📤 Upload
📝 New File
📁 New Folder
Close
Editing: einsumfunc.py
from typing import List, Any import numpy as np AR_LIKE_b: List[bool] AR_LIKE_u: List[np.uint32] AR_LIKE_i: List[int] AR_LIKE_f: List[float] AR_LIKE_c: List[complex] AR_LIKE_U: List[str] OUT_f: np.ndarray[Any, np.dtype[np.float64]] reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f)) # E: numpy.ndarray[Any, numpy.dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f)) # E: numpy.ndarray[Any, numpy.dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")) # E: Any reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] 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]
Save
Cancel