Skip to content

⚡️ Speed up function _pipe_line_with_colons by 31% in PR #7 (codeflash/optimize-to_name-2024-03-01T01.08.44) #273

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: codeflash/optimize-to_name-2024-03-01T01.08.44
Choose a base branch
from

Conversation

codeflash-ai-dev[bot]
Copy link

⚡️ This pull request contains optimizations for PR #7

If you approve this dependent PR, these changes will be merged into the original PR branch codeflash/optimize-to_name-2024-03-01T01.08.44.

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


📄 31% (0.31x) speedup for _pipe_line_with_colons in codeflash/code_utils/tabulate.py

⏱️ Runtime : 4.35 milliseconds 3.33 milliseconds (best of 215 runs)

📝 Explanation and details

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.

Correctness verification report:

Test Status
?????? Existing Unit Tests 🔘 None Found
???? Inspired Regression Tests 🔘 None Found
???? Generated Regression Tests 39 Passed
??? Replay Tests 🔘 None Found
???? Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage
???? Generated Regression Tests Details
import re
from collections import namedtuple

# imports
import pytest  # used for our unit tests
import wcwidth
from codeflash.code_utils.tabulate import _pipe_line_with_colons

# unit tests

# Basic Functionality Tests
def test_single_column_default_alignment():
    codeflash_output = _pipe_line_with_colons([5], [""])

def test_multiple_columns_default_alignment():
    codeflash_output = _pipe_line_with_colons([3, 4, 5], ["", "", ""])

# Specific Alignments Tests
def test_single_column_right_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["right"])

def test_single_column_center_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["center"])

def test_single_column_left_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["left"])

def test_single_column_decimal_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["decimal"])

# Mixed Alignments Tests
def test_multiple_columns_mixed_alignments():
    codeflash_output = _pipe_line_with_colons([3, 4, 5], ["left", "center", "right"])
    codeflash_output = _pipe_line_with_colons([6, 7, 8], ["right", "decimal", "left"])

# Edge Cases Tests
def test_empty_colwidths_and_colaligns():
    codeflash_output = _pipe_line_with_colons([], [])

def test_empty_colaligns_with_non_empty_colwidths():
    codeflash_output = _pipe_line_with_colons([3, 4], [])

def test_non_empty_colaligns_with_empty_colwidths():
    codeflash_output = _pipe_line_with_colons([], ["left", "right"])

def test_mismatched_lengths_of_colwidths_and_colaligns():
    codeflash_output = _pipe_line_with_colons([3, 4], ["left"])
    codeflash_output = _pipe_line_with_colons([3], ["left", "right"])

# Large Scale Test Cases
def test_large_number_of_columns():
    codeflash_output = _pipe_line_with_colons([5] * 1000, ["left"] * 1000)
    codeflash_output = _pipe_line_with_colons([3, 4, 5] * 1000, ["left", "center", "right"] * 1000)

def test_wide_columns():
    codeflash_output = _pipe_line_with_colons([100], ["center"])
    codeflash_output = _pipe_line_with_colons([200], ["right"])

# Performance and Scalability Tests
def test_performance_with_large_data_samples():
    codeflash_output = _pipe_line_with_colons([10] * 10000, ["right"] * 10000)
    codeflash_output = _pipe_line_with_colons([1, 2, 3, 4, 5] * 2000, ["left", "center", "right", "decimal", ""] * 2000)

# Special Characters in Alignment Tests
def test_special_characters_in_colaligns():
    codeflash_output = _pipe_line_with_colons([5], ["unknown"])
    codeflash_output = _pipe_line_with_colons([3, 4], ["left", "unknown"])
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import re
from collections import namedtuple

# imports
import pytest  # used for our unit tests
import wcwidth
from codeflash.code_utils.tabulate import _pipe_line_with_colons

# unit tests

# Basic Functionality
def test_single_column_no_alignment():
    codeflash_output = _pipe_line_with_colons([5], [""])

def test_single_column_left_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["left"])

def test_single_column_center_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["center"])

def test_single_column_right_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["right"])

def test_single_column_decimal_alignment():
    codeflash_output = _pipe_line_with_colons([5], ["decimal"])

# Multiple Columns with Different Alignments
def test_two_columns_mixed_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], ["left", "right"])

def test_three_columns_mixed_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7, 3], ["center", "decimal", "left"])

# Edge Cases
def test_empty_column_widths_and_alignments():
    codeflash_output = _pipe_line_with_colons([], [])

def test_column_widths_without_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], [])

def test_column_widths_with_empty_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], ["", ""])

def test_column_widths_with_partial_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7, 3], ["left", ""])

# Large Scale Test Cases
def test_large_number_of_columns_uniform():
    colwidths = [5] * 1000
    colaligns = ["right"] * 1000
    expected_output = "|" + "|".join(["----:"] * 1000) + "|"
    codeflash_output = _pipe_line_with_colons(colwidths, colaligns)

def test_large_number_of_columns_mixed():
    colwidths = [3, 5, 7] * 333 + [3]
    colaligns = ["left", "center", "right"] * 333 + ["decimal"]
    expected_output = "|" + "|".join([":--", ":---:", "------:"] * 333 + ["--:"]) + "|"
    codeflash_output = _pipe_line_with_colons(colwidths, colaligns)

# Invalid Inputs (Assuming Function Should Handle Gracefully)
def test_negative_column_widths():
    codeflash_output = _pipe_line_with_colons([-5, 7], ["left", "right"])


def test_non_string_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], [None, "right"])

# Mixed Data Types in Alignments
def test_integers_and_strings_in_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], [1, "right"])

def test_booleans_and_strings_in_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], [True, "right"])

# Special Characters in Alignments
def test_special_characters_in_alignments():
    codeflash_output = _pipe_line_with_colons([5, 7], ["#", "right"])
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-pr7-2025-05-14T21.14.45 and push.

Codeflash

…lash/optimize-to_name-2024-03-01T01.08.44`)

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.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
⚡️ codeflash Optimization PR opened by CodeFlash AI
Projects
None yet
Development

Successfully merging this pull request may close these issues.

0 participants