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

📄 20% (0.20x) speedup for process_pdd_tags in pdd/preprocess.py

⏱️ Runtime : 543 microseconds 452 microseconds (best of 368 runs)

📝 Explanation and details

The optimization achieves a 20% speedup by pre-compiling the regex pattern outside the function. The key changes are:

  1. Pre-compiled regex pattern: The pattern r'<pdd>.*?</pdd>' with re.DOTALL flag is compiled once at module import time into _pdd_pattern instead of being recompiled on every function call.

  2. Direct pattern usage: The function now calls _pdd_pattern.sub('', text) directly instead of using re.sub() with string pattern and flags.

Why this is faster: In the original code, re.sub(pattern, '', text, flags=re.DOTALL) internally compiles the regex pattern on every function call. The line profiler shows this compilation overhead consuming 93.5% of the total execution time (1.026ms out of 1.098ms). The optimized version eliminates this repeated compilation, reducing the regex operation time to 91.8% of a much smaller total (544μs out of 593μs).

Performance characteristics: The optimization provides consistent speedups across all test cases:

  • Small inputs with no matches: 142-208% faster (e.g., empty string, plain text)
  • Basic tag removal: 80-117% faster for typical use cases
  • Large-scale operations: Still beneficial but smaller gains (1-20% faster) since the compilation overhead becomes proportionally smaller

This optimization is particularly effective for functions called frequently with small to medium inputs, where regex compilation overhead dominates the execution time.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 71 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 80.0%
🌀 Generated Regression Tests and Runtime
import re

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

# unit tests

# Basic Test Cases

def test_basic_remove_single_pdd_tag():
    # Should remove a single <pdd> tag and its contents
    codeflash_output = process_pdd_tags("Hello <pdd>remove this</pdd> World") # 2.97μs -> 1.53μs (94.3% faster)

def test_basic_no_pdd_tag():
    # Should leave text unchanged if there are no <pdd> tags
    codeflash_output = process_pdd_tags("Hello World") # 2.14μs -> 747ns (187% faster)

def test_basic_multiple_pdd_tags():
    # Should remove all <pdd> tags and their contents
    codeflash_output = process_pdd_tags("A <pdd>1</pdd>B <pdd>2</pdd>C") # 3.15μs -> 1.74μs (80.9% faster)

def test_basic_pdd_tag_at_start():
    # Should remove <pdd> tag at the start
    codeflash_output = process_pdd_tags("<pdd>start</pdd> Middle End") # 2.62μs -> 1.31μs (99.8% faster)

def test_basic_pdd_tag_at_end():
    # Should remove <pdd> tag at the end
    codeflash_output = process_pdd_tags("Begin Middle <pdd>end</pdd>") # 2.61μs -> 1.20μs (117% faster)

def test_basic_empty_pdd_tag():
    # Should remove empty <pdd> tag
    codeflash_output = process_pdd_tags("A <pdd></pdd> B") # 2.72μs -> 1.28μs (113% faster)

def test_basic_exact_special_case():
    # Should handle the hardcoded special case
    codeflash_output = process_pdd_tags("This is a test <pdd>something</pdd>") # 2.62μs -> 1.37μs (91.4% faster)

# Edge Test Cases

def test_edge_nested_pdd_tags():
    # Should remove nested <pdd> tags as a single block (greedy match)
    codeflash_output = process_pdd_tags("A <pdd>outer <pdd>inner</pdd> outer</pdd> B") # 3.04μs -> 1.62μs (87.7% faster)

def test_edge_multiple_adjacent_pdd_tags():
    # Should remove adjacent <pdd> tags
    codeflash_output = process_pdd_tags("X<pdd>1</pdd><pdd>2</pdd>Y") # 2.88μs -> 1.52μs (89.1% faster)

def test_edge_pdd_tag_with_newlines():
    # Should remove <pdd> tags with newlines inside (DOTALL)
    codeflash_output = process_pdd_tags("Hello <pdd>line1\nline2</pdd> World") # 2.80μs -> 1.42μs (97.7% faster)

def test_edge_pdd_tag_with_special_characters():
    # Should remove <pdd> tags with special characters inside
    codeflash_output = process_pdd_tags("A <pdd>!@#$%^&*()</pdd> B") # 2.74μs -> 1.40μs (96.6% faster)

def test_edge_pdd_tag_in_only_text():
    # If the entire text is a <pdd> tag, should return empty string
    codeflash_output = process_pdd_tags("<pdd>all</pdd>") # 2.54μs -> 1.19μs (115% faster)

def test_edge_unclosed_pdd_tag():
    # Should leave unclosed <pdd> tag unchanged
    codeflash_output = process_pdd_tags("A <pdd>not closed B") # 2.65μs -> 1.25μs (112% faster)

def test_edge_malformed_pdd_tag():
    # Should leave malformed <pdd> tag unchanged
    codeflash_output = process_pdd_tags("A <pdd>missing end B</pd>") # 2.74μs -> 1.38μs (99.3% faster)

def test_edge_empty_string():
    # Should handle empty string input
    codeflash_output = process_pdd_tags("") # 2.08μs -> 696ns (199% faster)

def test_edge_only_pdd_tag():
    # Should remove the <pdd> tag and return empty string
    codeflash_output = process_pdd_tags("<pdd></pdd>") # 2.38μs -> 1.11μs (115% faster)

def test_edge_pdd_tag_with_spaces_in_tag():
    # Should not match tags with spaces in tag name
    codeflash_output = process_pdd_tags("A <pdd >foo</pdd > B") # 2.08μs -> 792ns (163% faster)

def test_edge_pdd_tag_with_uppercase():
    # Should not match uppercase tags
    codeflash_output = process_pdd_tags("A <PDD>foo</PDD> B") # 2.24μs -> 776ns (189% faster)

def test_edge_pdd_tag_with_attributes():
    # Should not match tags with attributes
    codeflash_output = process_pdd_tags("A <pdd attr='x'>foo</pdd> B") # 2.15μs -> 742ns (190% faster)

def test_edge_pdd_tag_with_similar_tags():
    # Should not remove similar tags
    codeflash_output = process_pdd_tags("A <pddx>foo</pddx> B") # 2.23μs -> 780ns (185% faster)

def test_edge_pdd_tag_with_multiline_and_other_tags():
    # Should only remove <pdd> tags, not others
    codeflash_output = process_pdd_tags("A <pdd>foo\nbar</pdd> <foo>baz</foo> B") # 2.97μs -> 1.64μs (81.8% faster)

# Large Scale Test Cases

def test_large_many_pdd_tags():
    # Should efficiently remove many <pdd> tags
    text = "X" + "".join(f"<pdd>{i}</pdd>" for i in range(500)) + "Y"
    codeflash_output = process_pdd_tags(text) # 43.7μs -> 41.4μs (5.56% faster)

def test_large_long_text_with_pdd_tags():
    # Should efficiently process long text with scattered <pdd> tags
    base = "A" * 100
    text = base + "<pdd>" + "B" * 100 + "</pdd>" + base + "<pdd>" + "C" * 100 + "</pdd>" + base
    expected = base + base + base
    codeflash_output = process_pdd_tags(text) # 4.44μs -> 3.07μs (44.5% faster)

def test_large_text_no_pdd_tags():
    # Should leave large text unchanged if no <pdd> tags
    text = "A" * 1000
    codeflash_output = process_pdd_tags(text) # 2.23μs -> 923ns (142% faster)

def test_large_pdd_tag_with_large_content():
    # Should remove a <pdd> tag with large content
    text = "Start <pdd>" + "X" * 900 + "</pdd> End"
    codeflash_output = process_pdd_tags(text) # 7.84μs -> 6.48μs (20.9% faster)

def test_large_many_adjacent_pdd_tags():
    # Should remove many adjacent <pdd> tags
    text = "".join(f"<pdd>{i}</pdd>" for i in range(1000))
    codeflash_output = process_pdd_tags(text) # 81.6μs -> 80.5μs (1.34% faster)

def test_large_many_pdd_tags_with_text_between():
    # Should remove all <pdd> tags and keep interleaved text
    text = "".join(f"A<pdd>{i}</pdd>B" for i in range(500))
    expected = "".join("AB" for _ in range(500))
    codeflash_output = process_pdd_tags(text) # 54.6μs -> 53.0μs (3.14% faster)

def test_large_special_case_multiple_times():
    # Should handle the special case only at the start
    text = "This is a test <pdd>foo</pdd>This is a test <pdd>bar</pdd>"
    # Only the first occurrence triggers the special case
    codeflash_output = process_pdd_tags(text) # 2.93μs -> 1.53μs (91.9% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import re

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

# unit tests

# --- Basic Test Cases ---

def test_basic_single_pdd_tag_removal():
    # Should remove a single <pdd>...</pdd> tag
    input_text = "Hello <pdd>remove this</pdd> world"
    expected = "Hello  world"
    codeflash_output = process_pdd_tags(input_text) # 3.15μs -> 1.65μs (90.7% faster)

def test_basic_multiple_pdd_tags_removal():
    # Should remove multiple <pdd>...</pdd> tags
    input_text = "<pdd>foo</pdd>bar<pdd>baz</pdd>"
    expected = "bar"
    codeflash_output = process_pdd_tags(input_text) # 3.05μs -> 1.67μs (83.1% faster)

def test_basic_no_pdd_tag():
    # Should return the input unchanged if no <pdd> tags
    input_text = "No tags here"
    expected = "No tags here"
    codeflash_output = process_pdd_tags(input_text) # 2.22μs -> 760ns (192% faster)

def test_basic_pdd_tag_at_start_and_end():
    # Should remove tags at both the start and end
    input_text = "<pdd>start</pdd>middle<pdd>end</pdd>"
    expected = "middle"
    codeflash_output = process_pdd_tags(input_text) # 3.02μs -> 1.52μs (99.0% faster)

def test_basic_empty_string():
    # Should handle empty string input
    input_text = ""
    expected = ""
    codeflash_output = process_pdd_tags(input_text) # 2.18μs -> 708ns (208% faster)

def test_basic_special_case_this_is_a_test():
    # Should handle the special case described in the implementation
    input_text = "This is a test <pdd>foo</pdd>"
    expected = "This is a test "
    codeflash_output = process_pdd_tags(input_text) # 2.66μs -> 1.31μs (102% faster)

# --- Edge Test Cases ---

def test_edge_nested_pdd_tags():
    # Should remove nested <pdd> tags as a single block (greedy match)
    input_text = "<pdd>outer <pdd>inner</pdd> outer</pdd> end"
    # Greedy match: removes from first <pdd> to last </pdd>
    expected = " end"
    codeflash_output = process_pdd_tags(input_text) # 2.89μs -> 1.53μs (88.8% faster)

def test_edge_overlapping_pdd_tags():
    # Overlapping tags are not possible in HTML, but test for robustness
    input_text = "<pdd>foo<pdd>bar</pdd>baz</pdd>qux"
    expected = "qux"
    codeflash_output = process_pdd_tags(input_text) # 2.79μs -> 1.40μs (99.9% faster)

def test_edge_pdd_tag_with_newlines_and_whitespace():
    # Should remove tags with newlines and extra spaces inside
    input_text = "Hello<pdd>\n   remove\nthis\n</pdd>World"
    expected = "HelloWorld"
    codeflash_output = process_pdd_tags(input_text) # 2.90μs -> 1.44μs (102% faster)

def test_edge_pdd_tag_with_empty_content():
    # Should remove empty tags
    input_text = "A<pdd></pdd>B"
    expected = "AB"
    codeflash_output = process_pdd_tags(input_text) # 2.56μs -> 1.21μs (112% faster)

def test_edge_pdd_tag_with_special_characters():
    # Should remove tags containing special characters
    input_text = "Start<pdd>@#$%^&*()</pdd>End"
    expected = "StartEnd"
    codeflash_output = process_pdd_tags(input_text) # 2.75μs -> 1.37μs (101% faster)

def test_edge_pdd_tag_case_sensitivity():
    # Should not remove tags with different case
    input_text = "foo<PDD>bar</PDD>baz"
    expected = "foo<PDD>bar</PDD>baz"
    codeflash_output = process_pdd_tags(input_text) # 2.06μs -> 746ns (176% faster)

def test_edge_pdd_tag_incomplete():
    # Should not remove if closing tag is missing
    input_text = "abc <pdd>def"
    expected = "abc <pdd>def"
    codeflash_output = process_pdd_tags(input_text) # 2.67μs -> 1.29μs (106% faster)

def test_edge_pdd_tag_malformed():
    # Should not remove if tags are malformed
    input_text = "abc <pdd def </pdd> xyz"
    expected = "abc <pdd def </pdd> xyz"
    codeflash_output = process_pdd_tags(input_text) # 2.18μs -> 745ns (193% faster)

def test_edge_only_pdd_tag():
    # Should remove the entire string if it's a single pdd tag
    input_text = "<pdd>all gone</pdd>"
    expected = ""
    codeflash_output = process_pdd_tags(input_text) # 2.68μs -> 1.30μs (106% faster)

def test_edge_pdd_tag_with_unicode():
    # Should remove tags containing unicode characters
    input_text = "foo <pdd>你好,世界</pdd> bar"
    expected = "foo  bar"
    codeflash_output = process_pdd_tags(input_text) # 3.54μs -> 2.10μs (68.6% faster)

def test_edge_pdd_tag_with_adjacent_tags():
    # Should remove adjacent tags
    input_text = "a<pdd>1</pdd><pdd>2</pdd>b"
    expected = "ab"
    codeflash_output = process_pdd_tags(input_text) # 2.99μs -> 1.58μs (88.7% faster)

def test_edge_pdd_tag_with_embedded_pdd_in_content():
    # Should remove the whole block including embedded <pdd> inside content
    input_text = "start<pdd>foo <pdd>bar</pdd> baz</pdd>end"
    expected = "startend"
    codeflash_output = process_pdd_tags(input_text) # 2.86μs -> 1.46μs (96.5% faster)

def test_edge_pdd_tag_with_non_greedy_content():
    # Should match non-greedy (but implementation is greedy)
    input_text = "a<pdd>1</pdd>b<pdd>2</pdd>c"
    expected = "abc"
    codeflash_output = process_pdd_tags(input_text) # 2.88μs -> 1.57μs (83.5% faster)

# --- Large Scale Test Cases ---

def test_large_many_pdd_tags():
    # Should handle many tags efficiently
    input_text = "".join([f"x<pdd>{i}</pdd>" for i in range(500)]) + "end"
    expected = "x" * 500 + "end"
    codeflash_output = process_pdd_tags(input_text) # 50.2μs -> 49.1μs (2.06% faster)

def test_large_long_content_in_pdd_tag():
    # Should handle very long content inside a single tag
    long_content = "a" * 1000
    input_text = f"start<pdd>{long_content}</pdd>end"
    expected = "startend"
    codeflash_output = process_pdd_tags(input_text) # 8.29μs -> 6.93μs (19.7% faster)

def test_large_long_text_with_sparse_pdd_tags():
    # Should handle large text with few tags
    input_text = "foo" * 250 + "<pdd>bar</pdd>" + "baz" * 250
    expected = "foo" * 250 + "baz" * 250
    codeflash_output = process_pdd_tags(input_text) # 3.32μs -> 1.97μs (68.8% faster)

def test_large_no_pdd_tags_long_text():
    # Should return unchanged for large text with no tags
    input_text = "abc" * 1000
    expected = "abc" * 1000
    codeflash_output = process_pdd_tags(input_text) # 2.65μs -> 1.27μs (109% faster)

def test_large_all_pdd_tags():
    # Should remove all content if all is inside tags
    input_text = "".join([f"<pdd>{i}</pdd>" for i in range(1000)])
    expected = ""
    codeflash_output = process_pdd_tags(input_text) # 82.2μs -> 80.1μs (2.62% faster)

def test_large_alternating_pdd_and_non_pdd():
    # Should remove all <pdd> tags and keep non-tag content
    input_text = "".join([f"A<pdd>{i}</pdd>B" for i in range(500)])
    expected = "AB" * 500
    codeflash_output = process_pdd_tags(input_text) # 52.3μs -> 50.2μs (4.02% faster)

def test_large_pdd_tag_with_newlines():
    # Should handle tags with many newlines inside
    content = "\n".join(str(i) for i in range(500))
    input_text = f"start<pdd>{content}</pdd>end"
    expected = "startend"
    codeflash_output = process_pdd_tags(input_text) # 13.2μs -> 11.9μs (11.1% faster)

# --- Determinism and Idempotency ---

def test_deterministic_output():
    # Should produce same output every time
    input_text = "abc<pdd>def</pdd>ghi"
    expected = "abcghi"
    for _ in range(10):
        codeflash_output = process_pdd_tags(input_text) # 10.4μs -> 4.80μs (116% faster)

def test_idempotency():
    # Should produce same output if called multiple times
    input_text = "abc<pdd>def</pdd>ghi"
    codeflash_output = process_pdd_tags(input_text); first_pass = codeflash_output # 2.57μs -> 1.22μs (110% faster)
    codeflash_output = process_pdd_tags(first_pass); second_pass = codeflash_output # 967ns -> 385ns (151% faster)

# --- Robustness ---

def test_non_string_input_raises():
    # Should raise TypeError if input is not a string
    with pytest.raises(TypeError):
        process_pdd_tags(None) # 2.92μs -> 1.40μs (109% faster)
    with pytest.raises(TypeError):
        process_pdd_tags(123) # 1.81μs -> 867ns (109% faster)
    with pytest.raises(TypeError):
        process_pdd_tags(["<pdd>foo</pdd>"]) # 1.27μs -> 635ns (100% faster)

# --- Regression for Special Case ---

def test_regression_special_case_this_is_a_test_without_pdd():
    # Should not trigger special case if no pdd tag
    input_text = "This is a test"
    expected = "This is a test"
    codeflash_output = process_pdd_tags(input_text) # 2.43μs -> 1.00μs (143% faster)

def test_regression_special_case_this_is_a_test_with_pdd_not_at_start():
    # Should not trigger special case if 'This is a test' not at start
    input_text = "foo This is a test <pdd>bar</pdd>"
    expected = "foo This is a test "
    codeflash_output = process_pdd_tags(input_text) # 2.69μs -> 1.32μs (103% 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 process_pdd_tags

def test_process_pdd_tags():
    process_pdd_tags('')
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_diinpk0o/tmpwwbk3t0d/test_concolic_coverage.py::test_process_pdd_tags 2.34μs 801ns 192%✅

To edit these changes git checkout codeflash/optimize-process_pdd_tags-mgmwr8et and push.

Codeflash

The optimization achieves a 20% speedup by **pre-compiling the regex pattern** outside the function. The key changes are:

1. **Pre-compiled regex pattern**: The pattern `r'<pdd>.*?</pdd>'` with `re.DOTALL` flag is compiled once at module import time into `_pdd_pattern` instead of being recompiled on every function call.

2. **Direct pattern usage**: The function now calls `_pdd_pattern.sub('', text)` directly instead of using `re.sub()` with string pattern and flags.

**Why this is faster**: In the original code, `re.sub(pattern, '', text, flags=re.DOTALL)` internally compiles the regex pattern on every function call. The line profiler shows this compilation overhead consuming 93.5% of the total execution time (1.026ms out of 1.098ms). The optimized version eliminates this repeated compilation, reducing the regex operation time to 91.8% of a much smaller total (544μs out of 593μs).

**Performance characteristics**: The optimization provides consistent speedups across all test cases:
- **Small inputs with no matches**: 142-208% faster (e.g., empty string, plain text)
- **Basic tag removal**: 80-117% faster for typical use cases
- **Large-scale operations**: Still beneficial but smaller gains (1-20% faster) since the compilation overhead becomes proportionally smaller

This optimization is particularly effective for functions called frequently with small to medium inputs, where regex compilation overhead dominates the execution time.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 11, 2025 23:30
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 11, 2025
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