Created
June 23, 2020 15:16
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Error messages
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import numpy as np | |
class MathErrors: | |
ZeroDivision = 'division failed: argument {argument} is zero.' | |
NaN = 'multiplication failed: argument {argument} is not a number.' | |
OutOfRange = 'value {argument} should be in range [{a}, {b}), but {value} received' | |
def divide(a: float, b: float) -> float: | |
if b == 0.: | |
raise ZeroDivisionError(MathErrors.ZeroDivision.format(argument='b')) | |
return a / b | |
def multiply(x: float, y: float) -> float: | |
if np.isnan(x): | |
raise ValueError(MathErrors.NaN.format(argument='x')) | |
if np.isnan(y): | |
raise ValueError(MathErrors.NaN.format(argument='y')) | |
return x * y | |
def flip_coin(true_rate: float) -> bool: | |
lo, hi = 0., 1. | |
if lo <= true_rate < hi: | |
return np.random.random() > true_rate | |
raise ValueError(MathErrors.OutOfRange.format( | |
argument='true_rate', a=lo, b=hi, value=true_rate)) | |
def main(): | |
faulty_functions = [ | |
(divide, 1, 0), | |
(multiply, np.nan, 1), | |
(multiply, 0, np.nan), | |
(flip_coin, -1) | |
] | |
for example in faulty_functions: | |
function, *args = example | |
try: | |
function(*args) | |
except Exception as e: | |
print(f'{type(e).__name__}: {e}') | |
if __name__ == '__main__': | |
main() |
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