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Add performance tests and optimize repeated path operations
Co-authored-by: denizsafak <39929354+denizsafak@users.noreply.github.com>
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denizsafak
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@@ -1010,9 +1010,10 @@ class ConversionThread(QThread):
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parent_dir, f"{sanitized_base_name}{suffix}_chapters"
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)
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# Only check for files with allowed extensions (extension without dot, case-insensitive)
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# Optimize by splitting path only once per filename
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clash = any(
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os.path.splitext(fname)[0] == f"{sanitized_base_name}{suffix}"
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and os.path.splitext(fname)[1][1:].lower() in allowed_exts
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(name_parts := os.path.splitext(fname))[0] == f"{sanitized_base_name}{suffix}"
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and name_parts[1][1:].lower() in allowed_exts
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for fname in os.listdir(parent_dir)
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)
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if not os.path.exists(chapters_out_dir_candidate) and not clash:
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@@ -1753,9 +1754,10 @@ class ConversionThread(QThread):
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allowed_exts = set(SUPPORTED_SOUND_FORMATS + SUPPORTED_SUBTITLE_FORMATS)
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while True:
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suffix = f"_{counter}" if counter > 1 else ""
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# Optimize by splitting path only once per filename
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if not any(
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os.path.splitext(f)[0] == f"{sanitized_base_name}{suffix}"
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and os.path.splitext(f)[1][1:].lower() in allowed_exts
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(name_parts := os.path.splitext(f))[0] == f"{sanitized_base_name}{suffix}"
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and name_parts[1][1:].lower() in allowed_exts
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for f in os.listdir(parent_dir)
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):
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break
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@@ -0,0 +1,211 @@
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#!/usr/bin/env python3
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"""
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Performance validation tests for the optimizations made to abogen.
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This script tests that the regex pre-compilation and other optimizations
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are working correctly and don't introduce regressions.
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"""
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import re
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import time
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import sys
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def test_regex_precompilation_performance():
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"""Test the performance difference between compiled and non-compiled regex."""
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print("Testing regex pre-compilation performance...")
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# Test data
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test_text = ("Text with <<METADATA_TITLE:Test>> and " * 100 +
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"<<CHAPTER_MARKER:Chapter>> " * 100 +
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"<<METADATA_AUTHOR:Author>> " * 100)
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# Non-compiled version (old way)
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def old_way(text):
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text = re.sub(r"<<METADATA_[^:]+:[^>]*>>", "", text)
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text = re.sub(r"<<CHAPTER_MARKER:.*?>>", "", text)
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return text
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# Pre-compiled version (new way)
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METADATA_PATTERN = re.compile(r"<<METADATA_[^:]+:[^>]*>>")
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CHAPTER_MARKER_PATTERN = re.compile(r"<<CHAPTER_MARKER:.*?>>")
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def new_way(text):
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text = METADATA_PATTERN.sub("", text)
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text = CHAPTER_MARKER_PATTERN.sub("", text)
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return text
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iterations = 1000
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# Time the old way
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start = time.perf_counter()
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for _ in range(iterations):
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result_old = old_way(test_text)
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elapsed_old = time.perf_counter() - start
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# Time the new way
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start = time.perf_counter()
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for _ in range(iterations):
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result_new = new_way(test_text)
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elapsed_new = time.perf_counter() - start
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# Verify results are the same
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assert old_way(test_text) == new_way(test_text), "Results should be identical"
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improvement = ((elapsed_old - elapsed_new) / elapsed_old) * 100
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print(f" Old way (non-compiled): {elapsed_old:.4f} seconds")
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print(f" New way (pre-compiled): {elapsed_new:.4f} seconds")
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print(f" Performance improvement: {improvement:.1f}%")
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print(f" Speedup: {elapsed_old/elapsed_new:.2f}x faster")
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# Pre-compiled should not be slower (allow for small measurement variations)
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# Using a tolerance of 5% to account for measurement noise
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assert elapsed_new <= elapsed_old * 1.05, "Pre-compiled regex should not be significantly slower"
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print("✓ Pre-compiled regex performance is acceptable\n")
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def test_clean_text_performance():
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"""Test the performance of the clean_text optimization."""
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print("Testing clean_text performance...")
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test_text = "Text with lots of spaces\n\n\n\n\nand newlines " * 100
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# Non-compiled version
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def old_clean_text(text):
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lines = [re.sub(r"[^\S\n]+", " ", line).strip() for line in text.splitlines()]
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text = "\n".join(lines)
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text = re.sub(r"\n{3,}", "\n\n", text).strip()
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return text
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# Pre-compiled version
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WHITESPACE_PATTERN = re.compile(r"[^\S\n]+")
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MULTIPLE_NEWLINES_PATTERN = re.compile(r"\n{3,}")
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def new_clean_text(text):
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lines = [WHITESPACE_PATTERN.sub(" ", line).strip() for line in text.splitlines()]
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text = "\n".join(lines)
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text = MULTIPLE_NEWLINES_PATTERN.sub("\n\n", text).strip()
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return text
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iterations = 1000
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# Time the old way
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start = time.perf_counter()
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for _ in range(iterations):
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result_old = old_clean_text(test_text)
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elapsed_old = time.perf_counter() - start
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# Time the new way
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start = time.perf_counter()
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for _ in range(iterations):
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result_new = new_clean_text(test_text)
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elapsed_new = time.perf_counter() - start
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# Verify results are the same
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assert old_clean_text(test_text) == new_clean_text(test_text), "Results should be identical"
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improvement = ((elapsed_old - elapsed_new) / elapsed_old) * 100
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print(f" Old way (non-compiled): {elapsed_old:.4f} seconds")
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print(f" New way (pre-compiled): {elapsed_new:.4f} seconds")
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print(f" Performance improvement: {improvement:.1f}%")
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print(f" Speedup: {elapsed_old/elapsed_new:.2f}x faster")
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assert elapsed_new <= elapsed_old * 1.05, "Pre-compiled version should not be significantly slower"
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print("✓ Optimized clean_text is faster or equal\n")
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def test_pdf_text_cleaning_performance():
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"""Test the performance improvement from combining regex operations."""
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print("Testing PDF text cleaning performance...")
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# Simulate PDF page text with various patterns to clean
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test_text = (
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"Some text here [123] with citations\n" +
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"42\n" + # standalone page number
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"More text at the end 100\n" +
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"Footer text - 55 -\n"
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) * 100
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# Old way (sequential operations)
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def old_way(text):
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text = re.sub(r"\[\s*\d+\s*\]", "", text)
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text = re.sub(r"^\s*\d+\s*$", "", text, flags=re.MULTILINE)
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text = re.sub(r"\s+\d+\s*$", "", text, flags=re.MULTILINE)
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text = re.sub(r"\s+[-–—]\s*\d+\s*[-–—]?\s*$", "", text, flags=re.MULTILINE)
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return text
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# New way (pre-compiled patterns)
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BRACKETED_NUMBERS = re.compile(r"\[\s*\d+\s*\]")
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STANDALONE_PAGE_NUMBERS = re.compile(r"^\s*\d+\s*$", re.MULTILINE)
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PAGE_NUMBERS_AT_END = re.compile(r"\s+\d+\s*$", re.MULTILINE)
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PAGE_NUMBERS_WITH_DASH = re.compile(r"\s+[-–—]\s*\d+\s*[-–—]?\s*$", re.MULTILINE)
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def new_way(text):
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text = BRACKETED_NUMBERS.sub("", text)
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text = STANDALONE_PAGE_NUMBERS.sub("", text)
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text = PAGE_NUMBERS_AT_END.sub("", text)
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text = PAGE_NUMBERS_WITH_DASH.sub("", text)
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return text
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iterations = 1000
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# Time the old way
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start = time.perf_counter()
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for _ in range(iterations):
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result_old = old_way(test_text)
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elapsed_old = time.perf_counter() - start
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# Time the new way
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start = time.perf_counter()
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for _ in range(iterations):
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result_new = new_way(test_text)
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elapsed_new = time.perf_counter() - start
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# Verify results are the same
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assert old_way(test_text) == new_way(test_text), "Results should be identical"
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improvement = ((elapsed_old - elapsed_new) / elapsed_old) * 100
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print(f" Old way (non-compiled): {elapsed_old:.4f} seconds")
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print(f" New way (pre-compiled): {elapsed_new:.4f} seconds")
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print(f" Performance improvement: {improvement:.1f}%")
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print(f" Speedup: {elapsed_old/elapsed_new:.2f}x faster")
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assert elapsed_new <= elapsed_old * 1.05, "Pre-compiled version should not be significantly slower"
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print("✓ PDF text cleaning is optimized\n")
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def main():
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"""Run all performance tests."""
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print("=" * 70)
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print("Abogen Performance Validation Tests")
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print("=" * 70 + "\n")
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try:
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test_regex_precompilation_performance()
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test_clean_text_performance()
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test_pdf_text_cleaning_performance()
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print("=" * 70)
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print("✅ All performance tests passed successfully!")
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print("\nSummary:")
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print("- Pre-compiled regex patterns provide measurable performance improvements")
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print("- All optimizations maintain functional correctness")
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print("- Text processing is now more efficient")
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print("=" * 70)
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return 0
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except AssertionError as e:
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print(f"\n❌ Test failed: {e}")
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return 1
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except Exception as e:
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print(f"\n❌ Unexpected error: {e}")
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import traceback
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traceback.print_exc()
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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