Some of the built-in scalar types inherit from the corresponding Python types. However, this fact does not seem to be exposed by the numpy type stubs.
# Python version 3.8.10, numpy version 1.23.0
import numpy as np
x = np.float64(1.0)
print(f"x={x} of type={type(x)} is float: {isinstance(x, float)}")
# x=1.0 of type=<class 'numpy.float64'> is float: True
def f(a: float) -> float:
return a
f(x)
"""
pyright 1.1.256:
error: Argument of type "float64" cannot be assigned to parameter "a" of type "float" in function "f"
"float64" is incompatible with "float" (reportGeneralTypeIssues)
mypy 0.961:
error: Argument 1 to "f" has incompatible type "floating[_64Bit]"; expected "float"
"""
Replacing np.float64 with np.float_ or np.double does not help.
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Some of the built-in scalar types inherit from the corresponding Python types. However, this fact does not seem to be exposed by the numpy type stubs.
# Python version 3.8.10, numpy version 1.23.0 import numpy as np x = np.float64(1.0) print(f"x={x} of type={type(x)} is float: {isinstance(x, float)}") # x=1.0 of type=<class 'numpy.float64'> is float: True def f(a: float) -> float: return a f(x) """ pyright 1.1.256: error: Argument of type "float64" cannot be assigned to parameter "a" of type "float" in function "f" "float64" is incompatible with "float" (reportGeneralTypeIssues) mypy 0.961: error: Argument 1 to "f" has incompatible type "floating[_64Bit]"; expected "float" """Replacing np.float64 with np.float_ or np.double does not help.