Two similar ways to check whether a list contains an odd number:
any(x % 2 for x in a)
any(True for x in a if x % 2)
Timing results with a = [0] * 10000000
(five attempts each, times in seconds):
0.60 0.60 0.60 0.61 0.63 any(x % 2 for x in a)
0.36 0.36 0.36 0.37 0.37 any(True for x in a if x % 2)
Why is the second way almost twice as fast?
My testing code:
from timeit import repeat
setup = 'a = [0] * 10000000'
expressions = [
'any(x % 2 for x in a)',
'any(True for x in a if x % 2)',
]
for expression in expressions:
times = sorted(repeat(expression, setup, number=1))
print(*('%.2f ' % t for t in times), expression)
Try it online!
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