Python vs Swift: Comparing Code Performance for Array Manipulation
There could be several reasons why code 1 is faster than code 2:
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Input parsing: In code 1, the input is parsed using the 'input()' function in Python, which is generally faster than using 'readLine()' and 'split(separator:)' in Swift. The 'map' function is also faster in Python compared to Swift.
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List manipulation: In code 1, the list manipulation is done using list comprehensions, which are generally faster than using map functions in Swift.
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Loop optimization: The loop in code 1 has a more efficient structure compared to code 2. In code 1, the loop continues until 'arr[end]' becomes 0, whereas in code 2, the loop condition is 'arr[end] != 0', which requires an additional comparison operation.
Overall, code 1 may have better performance due to more efficient input parsing, list manipulation, and loop structure. However, the actual performance difference could vary depending on the specific input and the underlying implementation of the programming languages.
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