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- import numpy as np
- import numpy.typing as npt
- AR_f8: npt.NDArray[np.float64]
- np.sin.nin + "foo" # E: Unsupported operand types
- np.sin(1, foo="bar") # E: No overload variant
- np.abs(None) # E: No overload variant
- np.add(1, 1, 1) # E: No overload variant
- np.add(1, 1, axis=0) # E: No overload variant
- np.matmul(AR_f8, AR_f8, where=True) # E: No overload variant
- np.frexp(AR_f8, out=None) # E: No overload variant
- np.frexp(AR_f8, out=AR_f8) # E: No overload variant
- np.absolute.outer() # E: "None" not callable
- np.frexp.outer() # E: "None" not callable
- np.divmod.outer() # E: "None" not callable
- np.matmul.outer() # E: "None" not callable
- np.absolute.reduceat() # E: "None" not callable
- np.frexp.reduceat() # E: "None" not callable
- np.divmod.reduceat() # E: "None" not callable
- np.matmul.reduceat() # E: "None" not callable
- np.absolute.reduce() # E: "None" not callable
- np.frexp.reduce() # E: "None" not callable
- np.divmod.reduce() # E: "None" not callable
- np.matmul.reduce() # E: "None" not callable
- np.absolute.accumulate() # E: "None" not callable
- np.frexp.accumulate() # E: "None" not callable
- np.divmod.accumulate() # E: "None" not callable
- np.matmul.accumulate() # E: "None" not callable
- np.frexp.at() # E: "None" not callable
- np.divmod.at() # E: "None" not callable
- np.matmul.at() # E: "None" not callable
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