Skip to content

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Oct 11, 2025

📄 33% (0.33x) speedup for get_file_path in pdd/preprocess.py

⏱️ Runtime : 1.25 milliseconds 939 microseconds (best of 286 runs)

📝 Explanation and details

The optimization eliminates the overhead of calling os.path.join() for relative paths by implementing direct string formatting.

Key Changes:

  1. Removed os.path.join() call: The original code always called os.path.join('./', file_name), which involves path normalization and cross-platform handling overhead
  2. Added path type detection: Uses os.path.isabs() to check if the path is already absolute
  3. Direct string concatenation: For relative paths, uses f-string formatting (f'./{file_name}') with duplicate prefix checking

Why It's Faster:

  • os.path.join() performs extensive path validation, normalization, and cross-platform separator handling that's unnecessary when simply prepending "./" to relative paths
  • F-string formatting is significantly faster than the internal string operations in os.path.join()
  • The conditional logic (os.path.isabs() + string checks) is cheaper than the universal os.path.join() overhead

Performance Profile:
The line profiler shows the bottleneck moved from os.path.join() (93.3% of time) to os.path.isabs() (80.8% of time), but the absolute time decreased significantly. The optimization works particularly well for:

  • Simple relative filenames (30-40% speedup)
  • Files with special characters and unicode (20-35% speedup)
  • Large-scale operations processing many files (30%+ speedup)
  • Error cases with invalid inputs show even higher gains (60-200% faster) due to early type checking

The 33% overall speedup comes from avoiding the heavyweight path manipulation in os.path.join() for the common case of relative file paths.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 61 Passed
🌀 Generated Regression Tests 2046 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_preprocess.py::test_get_file_path 3.18μs 2.29μs 38.6%✅
🌀 Generated Regression Tests and Runtime
import os

# imports
import pytest  # used for our unit tests
from pdd.preprocess import get_file_path

# unit tests

# 1. Basic Test Cases

def test_basic_filename():
    # Test with a simple filename
    codeflash_output = get_file_path("data.txt") # 1.98μs -> 1.48μs (33.6% faster)

def test_basic_filename_with_extension():
    # Test with a filename with a different extension
    codeflash_output = get_file_path("report.pdf") # 1.79μs -> 1.47μs (22.0% faster)

def test_basic_filename_with_spaces():
    # Test with spaces in the filename
    codeflash_output = get_file_path("my file.txt") # 1.89μs -> 1.42μs (33.4% faster)

def test_basic_filename_with_underscore_and_dash():
    # Test with underscores and dashes in the filename
    codeflash_output = get_file_path("my_file-01.csv") # 1.80μs -> 1.39μs (29.6% faster)

# 2. Edge Test Cases

def test_empty_filename():
    # Test with an empty filename
    codeflash_output = get_file_path("") # 1.79μs -> 1.29μs (38.4% faster)

def test_filename_is_dot():
    # Test with filename as "."
    codeflash_output = get_file_path(".") # 1.82μs -> 1.37μs (32.7% faster)

def test_filename_is_dotdot():
    # Test with filename as ".."
    codeflash_output = get_file_path("..") # 1.78μs -> 1.41μs (26.6% faster)

def test_filename_with_slashes():
    # Test with filename containing slashes (subdirectory)
    codeflash_output = get_file_path("folder/file.txt") # 1.74μs -> 1.30μs (34.0% faster)

def test_filename_with_leading_slash():
    # Test with filename starting with a slash (absolute path)
    codeflash_output = get_file_path("/absolute/path.txt") # 1.52μs -> 1.15μs (31.5% faster)

def test_filename_with_trailing_slash():
    # Test with filename ending with a slash
    codeflash_output = get_file_path("folder/") # 1.79μs -> 1.27μs (41.1% faster)

def test_filename_with_multiple_dots():
    # Test with filename containing multiple dots
    codeflash_output = get_file_path("archive.tar.gz") # 1.80μs -> 1.31μs (37.5% faster)

def test_filename_with_special_characters():
    # Test with filename containing special characters
    special_name = "!@#$%^&*()_+-=[]{};,.txt"
    codeflash_output = get_file_path(special_name) # 1.79μs -> 1.33μs (34.8% faster)

def test_filename_with_unicode_characters():
    # Test with filename containing unicode characters
    unicode_name = "файл_данных.txt"
    codeflash_output = get_file_path(unicode_name) # 2.04μs -> 1.67μs (22.2% faster)

def test_filename_with_newline_and_tab():
    # Test with filename containing newline and tab characters
    codeflash_output = get_file_path("data\n\tfile.txt") # 1.74μs -> 1.28μs (36.0% faster)

def test_filename_with_long_name():
    # Test with a very long filename (but not exceeding OS limits)
    long_name = "a" * 255 + ".txt"
    codeflash_output = get_file_path(long_name) # 1.78μs -> 1.38μs (29.1% faster)

# 3. Large Scale Test Cases

def test_many_files():
    # Test with many different filenames to check scalability
    for i in range(1000):  # Keep under 1000 as per instructions
        fname = f"file_{i}.dat"
        expected = os.path.join("./", fname)
        codeflash_output = get_file_path(fname); result = codeflash_output # 570μs -> 436μs (30.7% faster)

def test_long_path_components():
    # Test with a filename that contains many nested folders
    nested_path = "/".join([f"folder{i}" for i in range(50)]) + "/file.txt"
    expected = os.path.join("./", nested_path)
    codeflash_output = get_file_path(nested_path) # 1.25μs -> 1.14μs (9.90% faster)

def test_large_filename_with_special_chars():
    # Test with a large filename containing special characters
    fname = "".join(["!@#" for _ in range(300)]) + ".txt"
    expected = os.path.join("./", fname)
    codeflash_output = get_file_path(fname) # 1.18μs -> 1.05μs (12.1% faster)

def test_large_unicode_filename():
    # Test with a large filename containing unicode characters
    fname = "".join(["数据" for _ in range(200)]) + ".csv"
    expected = os.path.join("./", fname)
    codeflash_output = get_file_path(fname) # 1.19μs -> 1.15μs (3.67% faster)

# 4. Determinism Test

def test_determinism():
    # Test that repeated calls with the same input give the same output
    fname = "repeatable.txt"
    codeflash_output = get_file_path(fname); result1 = codeflash_output # 1.77μs -> 1.36μs (30.0% faster)
    codeflash_output = get_file_path(fname); result2 = codeflash_output # 893ns -> 663ns (34.7% faster)

# 5. Type Robustness Test

def test_filename_is_integer():
    # Test with filename as an integer (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(123) # 5.38μs -> 1.81μs (197% faster)

def test_filename_is_none():
    # Test with filename as None (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(None) # 4.76μs -> 1.54μs (209% faster)

def test_filename_is_bytes():
    # Test with filename as bytes (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(b"file.txt") # 5.19μs -> 3.14μs (65.4% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import os

# imports
import pytest  # used for our unit tests
from pdd.preprocess import get_file_path

# unit tests

# ---------------------------
# Basic Test Cases
# ---------------------------

def test_basic_filename():
    # Test with a simple filename
    codeflash_output = get_file_path("data.txt") # 2.13μs -> 1.50μs (41.4% faster)

def test_basic_filename_with_extension():
    # Test with a filename with a different extension
    codeflash_output = get_file_path("report.pdf") # 1.93μs -> 1.45μs (33.2% faster)

def test_basic_filename_no_extension():
    # Test with a filename without extension
    codeflash_output = get_file_path("README") # 1.84μs -> 1.41μs (30.7% faster)

def test_basic_filename_with_spaces():
    # Test with a filename containing spaces
    codeflash_output = get_file_path("my file.txt") # 1.78μs -> 1.33μs (33.4% faster)

def test_basic_filename_with_special_chars():
    # Test with special characters in filename
    codeflash_output = get_file_path("data_@_2024!.csv") # 1.83μs -> 1.37μs (33.4% faster)

# ---------------------------
# Edge Test Cases
# ---------------------------

def test_empty_filename():
    # Edge case: empty string as filename
    codeflash_output = get_file_path("") # 1.84μs -> 1.38μs (33.6% faster)

def test_filename_is_dot():
    # Edge case: filename is "."
    codeflash_output = get_file_path(".") # 1.73μs -> 1.35μs (28.0% faster)

def test_filename_is_double_dot():
    # Edge case: filename is ".."
    codeflash_output = get_file_path("..") # 1.80μs -> 1.30μs (38.8% faster)

def test_filename_with_path_separators():
    # Edge case: filename contains path separators
    codeflash_output = get_file_path("folder/file.txt") # 1.77μs -> 1.27μs (39.0% faster)
    codeflash_output = get_file_path("folder\\file.txt") # 941ns -> 737ns (27.7% faster)

def test_filename_with_leading_trailing_spaces():
    # Edge case: filename has leading/trailing spaces
    codeflash_output = get_file_path("  spaced.txt  ") # 1.66μs -> 1.32μs (25.5% faster)

def test_filename_with_unicode():
    # Edge case: filename contains unicode characters
    unicode_name = "файл.txt"
    codeflash_output = get_file_path(unicode_name) # 2.00μs -> 1.61μs (23.8% faster)

def test_filename_with_newline_tab():
    # Edge case: filename contains newline and tab
    codeflash_output = get_file_path("file\nname.txt") # 1.73μs -> 1.26μs (38.1% faster)
    codeflash_output = get_file_path("file\tname.txt") # 899ns -> 744ns (20.8% faster)

def test_filename_with_long_name():
    # Edge case: filename is very long (but < 255 chars, typical filesystem limit)
    long_name = "a" * 250 + ".txt"
    codeflash_output = get_file_path(long_name) # 1.70μs -> 1.31μs (29.0% faster)

def test_filename_with_only_spaces():
    # Edge case: filename is only spaces
    spaces_name = "   "
    codeflash_output = get_file_path(spaces_name) # 1.70μs -> 1.25μs (35.5% faster)

def test_filename_with_dot_in_middle():
    # Edge case: filename with multiple dots
    codeflash_output = get_file_path("my.data.backup.tar.gz") # 1.72μs -> 1.26μs (36.8% faster)

def test_filename_is_none():
    # Edge case: filename is None (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(None) # 5.00μs -> 1.64μs (205% faster)

def test_filename_is_int():
    # Edge case: filename is an integer (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(123) # 4.65μs -> 1.65μs (182% faster)

def test_filename_is_bytes():
    # Edge case: filename is bytes (should raise TypeError)
    with pytest.raises(TypeError):
        get_file_path(b"file.txt") # 4.86μs -> 3.02μs (60.8% faster)

# ---------------------------
# Large Scale Test Cases
# ---------------------------

def test_many_files():
    # Test with many different filenames to ensure scalability
    for i in range(1000):
        fname = f"file_{i}.dat"
        codeflash_output = get_file_path(fname) # 575μs -> 433μs (32.8% faster)


def test_large_filename_length():
    # Test with the maximum possible filename length (255 chars)
    fname = "a" * 255
    codeflash_output = get_file_path(fname) # 2.72μs -> 1.83μs (48.6% faster)

def test_large_filename_with_path():
    # Test with a long filename that includes subdirectories
    fname = "/".join([f"dir{i}" for i in range(20)]) + "/file.txt"
    codeflash_output = get_file_path(fname) # 2.15μs -> 1.60μs (34.0% faster)

def test_large_filename_with_special_chars():
    # Test with a long filename containing special characters
    fname = "!" * 100 + "@" * 100 + "#" * 50 + ".txt"
    codeflash_output = get_file_path(fname) # 2.00μs -> 1.51μs (33.0% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from pdd.preprocess import get_file_path

def test_get_file_path():
    get_file_path('')
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_diinpk0o/tmpxi44r408/test_concolic_coverage.py::test_get_file_path 1.91μs 1.56μs 22.9%✅

To edit these changes git checkout codeflash/optimize-get_file_path-mgmwj9ok and push.

Codeflash

The optimization eliminates the overhead of calling `os.path.join()` for relative paths by implementing direct string formatting. 

**Key Changes:**
1. **Removed `os.path.join()` call**: The original code always called `os.path.join('./', file_name)`, which involves path normalization and cross-platform handling overhead
2. **Added path type detection**: Uses `os.path.isabs()` to check if the path is already absolute
3. **Direct string concatenation**: For relative paths, uses f-string formatting (`f'./{file_name}'`) with duplicate prefix checking

**Why It's Faster:**
- `os.path.join()` performs extensive path validation, normalization, and cross-platform separator handling that's unnecessary when simply prepending "./" to relative paths
- F-string formatting is significantly faster than the internal string operations in `os.path.join()`
- The conditional logic (`os.path.isabs()` + string checks) is cheaper than the universal `os.path.join()` overhead

**Performance Profile:**
The line profiler shows the bottleneck moved from `os.path.join()` (93.3% of time) to `os.path.isabs()` (80.8% of time), but the absolute time decreased significantly. The optimization works particularly well for:
- Simple relative filenames (30-40% speedup)
- Files with special characters and unicode (20-35% speedup) 
- Large-scale operations processing many files (30%+ speedup)
- Error cases with invalid inputs show even higher gains (60-200% faster) due to early type checking

The 33% overall speedup comes from avoiding the heavyweight path manipulation in `os.path.join()` for the common case of relative file paths.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 11, 2025 23:23
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 11, 2025
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.

1 participant