⚡️ Speed up function normalize_answer by 187%

[codeflash-ai]

📄 187% (1.87x) speedup for normalize_answer in evaluation/benchmarks/toolqa/utils.py

⏱️ Runtime : 8.19 milliseconds → 2.85 milliseconds (best of 1033 runs)

📝 Explanation and details

Key Optimizations.

1. Inline Helper Functions: Combined the operations of the helper functions into a linear process within normalize_answer. This minimizes function call overhead and slightly improves readability for such a small scope of operations.

2. Use of str.translate: Used str.translate instead of list comprehensions to remove punctuation, which is faster because it is implemented in C and has fewer overhead operations than iterating character by character in Python. This approach also eliminates the need to create a set of punctuation characters, reducing memory usage.

3. Order of Operations: Performed lowering before other transformations to ensure minimal operations on the input string as we proceed, optimizing the sequence of transformations for common text processing tasks.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 44 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests Details

import os
import re
import string

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.toolqa.utils import normalize_answer

# unit tests

def test_basic_functionality():
    # Test simple sentence
    codeflash_output = normalize_answer("The quick brown fox jumps over the lazy dog.")
    codeflash_output = normalize_answer("A cat and an apple.")

    # Test sentence with articles and USD
    codeflash_output = normalize_answer("The price is 100 USD for the item.")
    codeflash_output = normalize_answer("An apple a day keeps the doctor away.")

def test_edge_cases():
    # Test empty string
    codeflash_output = normalize_answer("")

    # Test string with only articles
    codeflash_output = normalize_answer("a an the usd")

    # Test string with only punctuation
    codeflash_output = normalize_answer("!!!...,,,")

    # Test string with mixed case
    codeflash_output = normalize_answer("ThE QuICk bROwn FoX.")

def test_complex_scenarios():
    # Test string with excessive whitespace
    codeflash_output = normalize_answer("   The    quick   brown    fox   ")

    # Test string with no articles or punctuation
    codeflash_output = normalize_answer("Quick brown fox jumps")

def test_performance_and_scalability():
    # Test large text block
    large_text = "The quick brown fox jumps over the lazy dog. " * 1000
    expected_output = "quick brown fox jumps over lazy dog " * 1000
    codeflash_output = normalize_answer(large_text)

    # Test large text with articles and punctuation
    large_text_with_articles = ("A quick brown fox! The lazy dog? " * 1000)
    expected_output_with_articles = "quick brown fox lazy dog " * 1000
    codeflash_output = normalize_answer(large_text_with_articles)

def test_special_characters_and_unicode():
    # Test string with unicode characters
    codeflash_output = normalize_answer("Café au lait costs 5 usd.")
    codeflash_output = normalize_answer("naïve approach to solve the problem.")

    # Test string with emojis
    codeflash_output = normalize_answer("The quick brown 🦊 jumps over the lazy 🐶.")

def test_mixed_content():
    # Test string with numbers and punctuation
    codeflash_output = normalize_answer("The 2 quick brown foxes, and 1 lazy dog.")

    # Test string with special symbols
    codeflash_output = normalize_answer("The price is $100, not €100.")

def test_difficult_cases():
    # Test string with nested punctuation
    codeflash_output = normalize_answer("The quick (brown) fox.")

    # Test string with multiple languages
    codeflash_output = normalize_answer("The quick brown 狐 jumps over the lazy 犬.")
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import os
import re
import string

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.toolqa.utils import normalize_answer

# unit tests

# Basic Functionality
def test_simple_sentence():
    codeflash_output = normalize_answer("The quick brown fox jumps over the lazy dog.")
    codeflash_output = normalize_answer("A cat and an owl.")

def test_sentence_with_usd():
    codeflash_output = normalize_answer("The price is 100 USD.")

# Case Insensitivity
def test_mixed_case_input():
    codeflash_output = normalize_answer("ThE QuIcK bRoWn FoX.")
    codeflash_output = normalize_answer("A CAT and An OWL.")

# Punctuation Handling
def test_sentence_with_punctuation():
    codeflash_output = normalize_answer("Hello, world!")
    codeflash_output = normalize_answer("Is this a question?")

def test_punctuation_only():
    codeflash_output = normalize_answer("!!!")

# Whitespace Handling
def test_multiple_spaces():
    codeflash_output = normalize_answer("The   quick brown   fox.")
    codeflash_output = normalize_answer("   A cat     and an owl.  ")

def test_tabs_and_newlines():
    codeflash_output = normalize_answer("The\tquick\nbrown fox.")

# Article Removal
def test_sentences_with_articles():
    codeflash_output = normalize_answer("A quick brown fox.")
    codeflash_output = normalize_answer("An apple a day keeps the doctor away.")

# Empty and Minimal Input
def test_empty_string():
    codeflash_output = normalize_answer("")

def test_single_character():
    codeflash_output = normalize_answer("a")
    codeflash_output = normalize_answer("!")

# Non-ASCII Characters
def test_unicode_characters():
    codeflash_output = normalize_answer("Café au lait.")
    codeflash_output = normalize_answer("naïve façade.")

# Large Input
def test_long_text():
    input_text = "The quick brown fox jumps over the lazy dog. " * 1000
    expected_output = "quick brown fox jumps over lazy dog " * 1000
    codeflash_output = normalize_answer(input_text)

def test_large_text_with_punctuation_and_articles():
    input_text = ("A quick, brown fox jumps over the lazy dog. " * 1000)
    expected_output = "quick brown fox jumps over lazy dog " * 1000
    codeflash_output = normalize_answer(input_text)

# Edge Cases
def test_numbers_and_symbols():
    codeflash_output = normalize_answer("123 456 789")
    codeflash_output = normalize_answer("$100,000 and €200,000.")

def test_no_articles_or_punctuation():
    codeflash_output = normalize_answer("Quick brown fox")

# Complex Sentences
def test_complex_sentences():
    codeflash_output = normalize_answer("The quick, brown fox jumps over the lazy dog; however, the dog was not amused.")
    codeflash_output = normalize_answer("An owl hooted at the moon, and a cat purred in response.")
# 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-normalize_answer-m8x4w078 and push.