import statistics
import time
import tracemalloc
from typing import Any, Callable, Dict
import psutil
def benchmark_function(func: Callable, *args, num_runs: int = 5) -> Dict[str, Any]:
"""
Benchmark a function for memory usage and computational performance.
Args:
func: Function to benchmark
*args: Arguments to pass to the function
num_runs: Number of times to run the benchmark
Returns:
Dictionary containing benchmark metrics
"""
execution_times = []
peak_memory_usages = []
cpu_percentages = []
process = psutil.Process()
for _ in range(num_runs):
# Start memory tracking
tracemalloc.start()
# Measure execution time and CPU usage
start_time = time.perf_counter()
start_cpu_time = process.cpu_times()
end_cpu_time = process.cpu_times()
end_time = time.perf_counter()
# Calculate metrics
execution_time = end_time - start_time
cpu_time = (end_cpu_time.user + end_cpu_time.system) - (
start_cpu_time.user + start_cpu_time.system
)
current, peak = tracemalloc.get_traced_memory()
# Store results
execution_times.append(execution_time)
peak_memory_usages.append(peak / 1024 / 1024) # Convert to MB
cpu_percentages.append((cpu_time / execution_time) * 100)
tracemalloc.stop()
analysis = {
"mean_execution_time": statistics.mean(execution_times),
"mean_peak_memory_mb": statistics.mean(peak_memory_usages),
"mean_cpu_percent": statistics.mean(cpu_percentages),
"num_runs": num_runs,
}
if num_runs > 1:
analysis["std_execution_time"] = statistics.stdev(execution_times)
return analysis