CodeFlash Optimizations for PR #1 ⚡️

[codeflash-ai]

⚡️ This pull request contains optimizations for PR #1

If you approve this dependent PR, these changes will be merged into the original PR branch new-sorter.

This PR will be automatically closed if the original PR is merged.

⚡️ CodeFlash Optimization Results

📄 code_to_optimize/bubble_sort.py : sorter()

📈 Performance went up by 42115.32x (4211531.56%)

⏱️ Runtime went down from 1070554.63μs to 25.42μs

Explanation and details

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The function you provided, sorter, is already using Python's built-in sort function which has a time complexity of O(n log n), where n is a number of elements in the array. This is the fastest achievable sorting complexity for comparison-based sorts.

However, if you want to achieve a marginal speed increase, writing this in-place might help.

Here's an alternative version using list comprehension. Although this does not improve the time complexity, it gives a Pythonic touch:

def sorter(arr):
    return sorted(arr)

Again, this command returns a new sorted list and does not modify the original list. If you want to sort the list in-place, you only have the original function:

Please note that sorting time complexity cannot be improved further than O(n log n) using comparison-based sorting algorithms. To really optimize this function, you would need a guarantee about the content of your data, for example, if your array only contained integers in a particular range, then you could use counting sort or radix sort, which can have a time complexity of O(n).

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

Test type	✅ Passed
Generated Regression Tests	15
Inspired Regression Tests	0
Existing Unit Tests	3

[codeflash-ai]

This PR has been automatically closed because the original PR #1 by fake-afik was closed.