![Paul Sokolovsky](/assets/img/avatar_default.png)
map() is 5 times slower. That's mostly because of inefficiency of creating containers from iterables of unknown length (like map()).
13 lines
352 B
Python
13 lines
352 B
Python
# Array operation
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# Type: list, map() call. This method requires allocation of
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# the same amount of memory as original array (to hold result
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# array). On the other hand, input array stays intact.
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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arr = [0] * 1000
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arr2 = list(map(lambda x: x + 1, arr))
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bench.run(test)
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