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⚡️ Speed up function _pipe_line_with_colons by 31% in PR #35 (line-profiler)
To make the given Python program faster, we can improve the performance of the `_pipe_line_with_colons` function by avoiding repeated creation of temporary lists in the list comprehension and minimizing function calls within loops. Here's a rewritten version.
### Explanation of Changes.
1. **Reduce Function Calls within Loops**: By directly including the logic from `_pipe_segment_with_colons` within the loop in `_pipe_line_with_colons`, we avoid the overhead of repeatedly calling the `_pipe_segment_with_colons` function.
2. **Optimize List Construction**: We merged the list comprehension into a standard `for` loop, which makes the logic clearer and avoids temporary list creation overhead in an intermediate step.
3. **Optimize Condition Check**: Simplified the alignment checks by directly comparing the `align` variable instead of storing and passing it around. This reduces the memory overhead.
This will result in decreased execution time particularly when processing larger tables.
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