mirror of https://github.com/python/cpython.git
Add a tool to benchmark external inspection (#134810)
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parent
9fbd66a93d
commit
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import _remote_debugging
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import time
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import subprocess
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import sys
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import contextlib
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import tempfile
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import os
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import argparse
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from _colorize import get_colors, can_colorize
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CODE = '''\
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import time
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import os
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import sys
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import math
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def slow_fibonacci(n):
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"""Intentionally slow recursive fibonacci - should show up prominently in profiler"""
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if n <= 1:
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return n
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return slow_fibonacci(n-1) + slow_fibonacci(n-2)
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def medium_computation():
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"""Medium complexity function"""
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result = 0
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for i in range(1000):
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result += math.sqrt(i) * math.sin(i)
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return result
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def fast_loop():
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"""Fast simple loop"""
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total = 0
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for i in range(100):
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total += i
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return total
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def string_operations():
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"""String manipulation that should be visible in profiler"""
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text = "hello world " * 100
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words = text.split()
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return " ".join(reversed(words))
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def nested_calls():
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"""Nested function calls to test call stack depth"""
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def level1():
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def level2():
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def level3():
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return medium_computation()
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return level3()
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return level2()
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return level1()
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def main_loop():
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"""Main computation loop with different execution paths"""
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iteration = 0
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while True:
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iteration += 1
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# Different execution paths with different frequencies
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if iteration % 50 == 0:
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# Expensive operation - should show high per-call time
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result = slow_fibonacci(20)
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elif iteration % 10 == 0:
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# Medium operation
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result = nested_calls()
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elif iteration % 5 == 0:
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# String operations
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result = string_operations()
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else:
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# Fast operation - most common
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result = fast_loop()
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# Small delay to make sampling more interesting
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time.sleep(0.001)
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if __name__ == "__main__":
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main_loop()
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'''
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DEEP_STATIC_CODE = """\
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import time
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def factorial(n):
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if n <= 1:
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time.sleep(10000)
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return 1
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return n * factorial(n-1)
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factorial(900)
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"""
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CODE_WITH_TONS_OF_THREADS = '''\
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import time
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import threading
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import random
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import math
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def cpu_intensive_work():
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"""Do some CPU intensive calculations"""
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result = 0
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for _ in range(10000):
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result += math.sin(random.random()) * math.cos(random.random())
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return result
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def io_intensive_work():
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"""Simulate IO intensive work with sleeps"""
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time.sleep(0.1)
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def mixed_workload():
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"""Mix of CPU and IO work"""
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while True:
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if random.random() < 0.3:
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cpu_intensive_work()
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else:
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io_intensive_work()
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def create_threads(n):
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"""Create n threads doing mixed workloads"""
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threads = []
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for _ in range(n):
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t = threading.Thread(target=mixed_workload, daemon=True)
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t.start()
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threads.append(t)
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return threads
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# Start with 5 threads
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active_threads = create_threads(5)
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thread_count = 5
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# Main thread manages threads and does work
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while True:
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# Randomly add or remove threads
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if random.random() < 0.1: # 10% chance each iteration
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if random.random() < 0.5 and thread_count < 100:
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# Add 1-5 new threads
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new_count = random.randint(1, 5)
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new_threads = create_threads(new_count)
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active_threads.extend(new_threads)
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thread_count += new_count
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elif thread_count > 10:
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# Remove 1-3 threads
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remove_count = random.randint(1, 5)
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# The threads will terminate naturally since they're daemons
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active_threads = active_threads[remove_count:]
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thread_count -= remove_count
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cpu_intensive_work()
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time.sleep(0.05)
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'''
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CODE_EXAMPLES = {
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"basic": {
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"code": CODE,
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"description": "Mixed workload with fibonacci, computations, and string operations",
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},
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"deep_static": {
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"code": DEEP_STATIC_CODE,
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"description": "Deep recursive call stack with 900+ frames (factorial)",
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},
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"threads": {
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"code": CODE_WITH_TONS_OF_THREADS,
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"description": "Tons of threads doing mixed CPU/IO work",
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},
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}
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def benchmark(unwinder, duration_seconds=10):
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"""Benchmark mode - measure raw sampling speed for specified duration"""
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sample_count = 0
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fail_count = 0
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total_work_time = 0.0
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start_time = time.perf_counter()
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end_time = start_time + duration_seconds
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colors = get_colors(can_colorize())
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print(
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f"{colors.BOLD_BLUE}Benchmarking sampling speed for {duration_seconds} seconds...{colors.RESET}"
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)
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try:
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while time.perf_counter() < end_time:
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work_start = time.perf_counter()
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try:
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stack_trace = unwinder.get_stack_trace()
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if stack_trace:
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sample_count += 1
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except (OSError, RuntimeError, UnicodeDecodeError) as e:
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fail_count += 1
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work_end = time.perf_counter()
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total_work_time += work_end - work_start
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total_attempts = sample_count + fail_count
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if total_attempts % 10000 == 0:
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avg_work_time_us = (total_work_time / total_attempts) * 1e6
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work_rate = (
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total_attempts / total_work_time if total_work_time > 0 else 0
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)
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success_rate = (sample_count / total_attempts) * 100
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# Color code the success rate
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if success_rate >= 95:
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success_color = colors.GREEN
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elif success_rate >= 80:
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success_color = colors.YELLOW
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else:
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success_color = colors.RED
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print(
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f"{colors.CYAN}Attempts:{colors.RESET} {total_attempts} | "
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f"{colors.CYAN}Success:{colors.RESET} {success_color}{success_rate:.1f}%{colors.RESET} | "
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f"{colors.CYAN}Rate:{colors.RESET} {colors.MAGENTA}{work_rate:.1f}Hz{colors.RESET} | "
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f"{colors.CYAN}Avg:{colors.RESET} {colors.YELLOW}{avg_work_time_us:.2f}µs{colors.RESET}"
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)
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except KeyboardInterrupt:
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print(f"\n{colors.YELLOW}Benchmark interrupted by user{colors.RESET}")
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actual_end_time = time.perf_counter()
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wall_time = actual_end_time - start_time
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total_attempts = sample_count + fail_count
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# Return final statistics
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return {
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"wall_time": wall_time,
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"total_attempts": total_attempts,
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"sample_count": sample_count,
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"fail_count": fail_count,
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"success_rate": (
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(sample_count / total_attempts) * 100 if total_attempts > 0 else 0
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),
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"total_work_time": total_work_time,
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"avg_work_time_us": (
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(total_work_time / total_attempts) * 1e6 if total_attempts > 0 else 0
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),
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"work_rate_hz": total_attempts / total_work_time if total_work_time > 0 else 0,
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"samples_per_sec": sample_count / wall_time if wall_time > 0 else 0,
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}
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def print_benchmark_results(results):
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"""Print comprehensive benchmark results"""
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colors = get_colors(can_colorize())
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print(f"\n{colors.BOLD_GREEN}{'='*60}{colors.RESET}")
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print(f"{colors.BOLD_GREEN}get_stack_trace() Benchmark Results{colors.RESET}")
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print(f"{colors.BOLD_GREEN}{'='*60}{colors.RESET}")
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# Basic statistics
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print(f"\n{colors.BOLD_CYAN}Basic Statistics:{colors.RESET}")
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print(
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f" {colors.CYAN}Wall time:{colors.RESET} {colors.YELLOW}{results['wall_time']:.3f}{colors.RESET} seconds"
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)
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print(
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f" {colors.CYAN}Total attempts:{colors.RESET} {colors.MAGENTA}{results['total_attempts']:,}{colors.RESET}"
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)
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print(
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f" {colors.CYAN}Successful samples:{colors.RESET} {colors.GREEN}{results['sample_count']:,}{colors.RESET}"
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)
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print(
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f" {colors.CYAN}Failed samples:{colors.RESET} {colors.RED}{results['fail_count']:,}{colors.RESET}"
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)
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# Color code the success rate
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success_rate = results["success_rate"]
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if success_rate >= 95:
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success_color = colors.BOLD_GREEN
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elif success_rate >= 80:
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success_color = colors.BOLD_YELLOW
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else:
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success_color = colors.BOLD_RED
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print(
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f" {colors.CYAN}Success rate:{colors.RESET} {success_color}{success_rate:.2f}%{colors.RESET}"
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)
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# Performance metrics
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print(f"\n{colors.BOLD_CYAN}Performance Metrics:{colors.RESET}")
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print(
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f" {colors.CYAN}Average call time:{colors.RESET} {colors.YELLOW}{results['avg_work_time_us']:.2f}{colors.RESET} µs"
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)
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print(
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f" {colors.CYAN}Work rate:{colors.RESET} {colors.MAGENTA}{results['work_rate_hz']:.1f}{colors.RESET} calls/sec"
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)
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print(
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f" {colors.CYAN}Sample rate:{colors.RESET} {colors.MAGENTA}{results['samples_per_sec']:.1f}{colors.RESET} samples/sec"
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)
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print(
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f" {colors.CYAN}Total work time:{colors.RESET} {colors.YELLOW}{results['total_work_time']:.3f}{colors.RESET} seconds"
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)
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# Color code work efficiency
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efficiency = (results["total_work_time"] / results["wall_time"]) * 100
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if efficiency >= 80:
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efficiency_color = colors.GREEN
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elif efficiency >= 50:
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efficiency_color = colors.YELLOW
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else:
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efficiency_color = colors.RED
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print(
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f" {colors.CYAN}Work efficiency:{colors.RESET} {efficiency_color}{efficiency:.1f}%{colors.RESET}"
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)
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def parse_arguments():
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"""Parse command line arguments"""
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# Build the code examples description
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examples_desc = "\n".join(
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[f" {name}: {info['description']}" for name, info in CODE_EXAMPLES.items()]
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)
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parser = argparse.ArgumentParser(
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description="Benchmark get_stack_trace() performance",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=f"""
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Examples:
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%(prog)s # Run basic benchmark for 10 seconds (default)
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%(prog)s --duration 30 # Run basic benchmark for 30 seconds
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%(prog)s -d 60 # Run basic benchmark for 60 seconds
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%(prog)s --code deep_static # Run deep static call stack benchmark
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%(prog)s --code deep_static -d 30 # Run deep static benchmark for 30 seconds
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Available code examples:
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{examples_desc}
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""",
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color=True,
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)
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parser.add_argument(
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"--duration",
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"-d",
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type=int,
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default=10,
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help="Benchmark duration in seconds (default: 10)",
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)
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parser.add_argument(
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"--code",
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"-c",
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choices=list(CODE_EXAMPLES.keys()),
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default="basic",
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help="Code example to benchmark (default: basic)",
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)
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return parser.parse_args()
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def create_target_process(temp_file, code_example="basic"):
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"""Create and start the target process for benchmarking"""
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example_info = CODE_EXAMPLES.get(code_example, {"code": CODE})
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selected_code = example_info["code"]
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temp_file.write(selected_code)
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temp_file.flush()
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process = subprocess.Popen(
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[sys.executable, temp_file.name], stdout=subprocess.PIPE, stderr=subprocess.PIPE
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)
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# Give it time to start
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time.sleep(1.0)
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# Check if it's still running
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if process.poll() is not None:
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stdout, stderr = process.communicate()
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raise RuntimeError(
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f"Target process exited unexpectedly:\nSTDOUT: {stdout.decode()}\nSTDERR: {stderr.decode()}"
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)
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return process, temp_file.name
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def cleanup_process(process, temp_file_path):
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"""Clean up the target process and temporary file"""
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with contextlib.suppress(Exception):
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if process.poll() is None:
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process.terminate()
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try:
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process.wait(timeout=5.0)
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except subprocess.TimeoutExpired:
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process.kill()
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process.wait()
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def main():
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"""Main benchmark function"""
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colors = get_colors(can_colorize())
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args = parse_arguments()
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print(f"{colors.BOLD_MAGENTA}External Inspection Benchmark Tool{colors.RESET}")
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print(f"{colors.BOLD_MAGENTA}{'=' * 34}{colors.RESET}")
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example_info = CODE_EXAMPLES.get(args.code, {"description": "Unknown"})
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print(
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f"\n{colors.CYAN}Code Example:{colors.RESET} {colors.GREEN}{args.code}{colors.RESET}"
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)
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print(f"{colors.CYAN}Description:{colors.RESET} {example_info['description']}")
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print(
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f"{colors.CYAN}Benchmark Duration:{colors.RESET} {colors.YELLOW}{args.duration}{colors.RESET} seconds"
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)
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process = None
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temp_file_path = None
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try:
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# Create target process
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print(f"\n{colors.BLUE}Creating and starting target process...{colors.RESET}")
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with tempfile.NamedTemporaryFile(mode="w", suffix=".py") as temp_file:
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process, temp_file_path = create_target_process(temp_file, args.code)
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print(
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f"{colors.GREEN}Target process started with PID: {colors.BOLD_WHITE}{process.pid}{colors.RESET}"
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)
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# Run benchmark with specified duration
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with process:
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# Create unwinder and run benchmark
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print(f"{colors.BLUE}Initializing unwinder...{colors.RESET}")
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try:
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unwinder = _remote_debugging.RemoteUnwinder(
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process.pid, all_threads=True
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)
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results = benchmark(unwinder, duration_seconds=args.duration)
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finally:
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cleanup_process(process, temp_file_path)
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# Print results
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print_benchmark_results(results)
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except PermissionError as e:
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print(
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f"{colors.BOLD_RED}Error: Insufficient permissions to read stack trace: {e}{colors.RESET}"
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)
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print(
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f"{colors.YELLOW}Try running with appropriate privileges (e.g., sudo){colors.RESET}"
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)
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return 1
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except Exception as e:
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print(f"{colors.BOLD_RED}Error during benchmarking: {e}{colors.RESET}")
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if process:
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with contextlib.suppress(Exception):
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stdout, stderr = process.communicate(timeout=1)
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if stdout:
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print(
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f"{colors.CYAN}Process STDOUT:{colors.RESET} {stdout.decode()}"
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)
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if stderr:
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print(
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f"{colors.RED}Process STDERR:{colors.RESET} {stderr.decode()}"
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)
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raise
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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