Skip to content

⚡️ Speed up function get_likely_indent_size by 7% #38

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: main
Choose a base branch
from

Conversation

codeflash-ai[bot]
Copy link

@codeflash-ai codeflash-ai bot commented Mar 31, 2025

📄 7% (0.07x) speedup for get_likely_indent_size in evaluation/benchmarks/biocoder/scripts/setup/remove_code.py

⏱️ Runtime : 578 microseconds 542 microseconds (best of 1429 runs)

📝 Explanation and details

Changes Made

  1. Avoid Repeated Length Calculation: Calculated the length of array_of_tabs once and stored it in array_len.
  2. Use zip for Iteration: Used zip to iterate through the array, shifting from indexing which avoids the need to access elements multiple times.
  3. Simplified Empty Check: Used if not sizes to check if the dictionary is empty, which is more idiomatic and faster.
  4. Direct Max Calculation on Dict Items: Used max directly on dictionary items, as it is inherently faster and clearer.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 28 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
from collections import defaultdict

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.biocoder.scripts.setup.remove_code import \
    get_likely_indent_size


# unit tests
def test_single_indentation_size():
    # Test with a single consistent indentation size
    codeflash_output = get_likely_indent_size([0, 4, 8, 12])
    codeflash_output = get_likely_indent_size([0, 2, 4, 6])

def test_multiple_indentation_sizes():
    # Test with multiple indentation sizes, where one is more frequent
    codeflash_output = get_likely_indent_size([0, 2, 4, 8, 10])
    codeflash_output = get_likely_indent_size([0, 3, 6, 9, 12, 15])

def test_empty_list():
    # Test with an empty list, should return default indent size 4
    codeflash_output = get_likely_indent_size([])

def test_single_element_list():
    # Test with a single element list, should return default indent size 4
    codeflash_output = get_likely_indent_size([0])

def test_uniform_list():
    # Test with a list of uniform values, should return default indent size 4
    codeflash_output = get_likely_indent_size([0, 0, 0])

def test_negative_or_zero_differences():
    # Test with negative or zero differences, should ignore these
    codeflash_output = get_likely_indent_size([0, 4, 4, 8])
    codeflash_output = get_likely_indent_size([8, 4, 0])

def test_large_uniform_list():
    # Test with a large list with uniform indentation
    large_list = list(range(0, 4000, 4))
    codeflash_output = get_likely_indent_size(large_list)

def test_large_mixed_indentations():
    # Test with a large list with mixed indentations, where one is more frequent
    large_list = [i * 2 if i % 2 == 0 else i * 4 for i in range(500)]
    codeflash_output = get_likely_indent_size(large_list)

def test_very_large_list():
    # Test with a very large list with consistent increments
    very_large_list = list(range(0, 1000, 1))
    codeflash_output = get_likely_indent_size(very_large_list)

def test_large_random_mixed():
    # Test with a large list with random increments but a dominant increment
    import random
    random.seed(0)
    random_list = [0]
    for _ in range(999):
        random_list.append(random_list[-1] + random.choice([1, 3, 3, 3, 5]))
    codeflash_output = get_likely_indent_size(random_list)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import argparse
from collections import defaultdict

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.biocoder.scripts.setup.remove_code import \
    get_likely_indent_size

# unit tests

def test_single_indentation_size():
    # Test with a consistent indentation size of 2
    codeflash_output = get_likely_indent_size([0, 2, 4, 6, 8])
    # Test with a consistent indentation size of 4
    codeflash_output = get_likely_indent_size([0, 4, 8, 12])

def test_multiple_indentation_sizes():
    # Test with mixed sizes, where 2 is the most frequent
    codeflash_output = get_likely_indent_size([0, 2, 4, 6, 10])

def test_no_indentation():
    # Test with an empty list, expecting default size of 4
    codeflash_output = get_likely_indent_size([])
    # Test with a single element, expecting default size of 4
    codeflash_output = get_likely_indent_size([0])

def test_negative_or_zero_differences():
    # Test with all elements the same, expecting default size of 4
    codeflash_output = get_likely_indent_size([0, 0, 0])
    # Test with decreasing sequence, expecting default size of 4
    codeflash_output = get_likely_indent_size([3, 2, 1])

def test_large_uniform_indentation():
    # Test with a large list of uniform indentation size of 4
    codeflash_output = get_likely_indent_size(list(range(0, 4000, 4)))

def test_large_mixed_indentation():
    # Test with a large list with mixed sizes, where 4 is predominant
    array = [0] + [i for i in range(4, 1000, 4)] + [i for i in range(2, 1000, 8)]
    codeflash_output = get_likely_indent_size(array)

def test_alternating_indentation_sizes():
    # Test with alternating sizes, where 2 is the most frequent
    codeflash_output = get_likely_indent_size([0, 2, 4, 8, 10, 12, 16])

def test_randomized_indentation_sizes():
    # Test with random sizes, ensuring 2 is the most frequent
    array = [0, 2, 4, 6, 8, 10, 12, 16, 18, 20, 24, 28, 30]
    codeflash_output = get_likely_indent_size(array)

def test_very_large_input():
    # Test with a very large list of consistent size
    codeflash_output = get_likely_indent_size(list(range(0, 5000, 5)))

def test_sparse_indentation():
    # Test with large gaps, expecting size of 10
    codeflash_output = get_likely_indent_size([0, 10, 20, 30])

def test_dense_indentation():
    # Test with frequent repetition of small differences
    codeflash_output = get_likely_indent_size([0, 1, 1, 2, 2, 3])

def test_common_code_indentation():
    # Simulate real-world code indentation patterns
    codeflash_output = get_likely_indent_size([0, 2, 4, 6, 8, 12, 14, 16, 20])
# 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-get_likely_indent_size-m8wrg4g7 and push.

Codeflash

### Changes Made
1. **Avoid Repeated Length Calculation**: Calculated the length of `array_of_tabs` once and stored it in `array_len`.
2. **Use `zip` for Iteration**: Used `zip` to iterate through the array, shifting from indexing which avoids the need to access elements multiple times.
3. **Simplified Empty Check**: Used `if not sizes` to check if the dictionary is empty, which is more idiomatic and faster.
4. **Direct Max Calculation on Dict Items**: Used `max` directly on dictionary items, as it is inherently faster and clearer.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Mar 31, 2025
@codeflash-ai codeflash-ai bot requested a review from dasarchan March 31, 2025 07:41
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