otime 0.1.3

A package for analyzing time complexity of functions

OTime: Time Complexity Analyzer

A Python package for empirically analyzing the time complexity of functions.

Installation

pip install otime

Usage

from otime import analyze_time_complexity

def my_function(data):
    # Your function here
    pass

sizes = [100, 200, 400, 800, 1600]
complexity, r_squared = analyze_time_complexity(
    my_function,
    lambda x: list(range(x)),  # Input generator
    sizes
)
print(f"Time complexity: {complexity}")
print(f"R-squared: {r_squared}")

More examples

from otime import analyze_time_complexity

# Example usage
def example_input_generator(size):
    """Generate a list of given size for testing."""
    return size

def func(n):
    for i in range(n):
        j = i * i
        while j > 0:
            j //= 4

sizes = [100, 200, 400, 800, 1600, 3200]
complexity, r_squared = analyze_time_complexity(
    func, 
    example_input_generator,
    sizes,
    save_plot=True
)
print(f"\nResults:")
print(f"Detected time complexity: {complexity}")
print(f"R-squared value: {r_squared:.4f}")

Features

• Automatic time complexity detection
• Visual plotting of results
• Support for common complexity classes
• Robust numerical analysis

License

MIT License