TEST 76 — bfloat16 해상도 아래의 히든스테이트 주입으로 모델 출력을 바꾼 재현 가능한 로그

class AdaptiveCongestionManager(object):
    def __init__(self, num_params=1_500_000):
        self.num_params = num_params

    async def monitor_system_status(self):
        pass

    async def manage_congestion(self):
        await self.monitor_system_status()
        if self.system_load > LOAD_THRESHOLD:
            print("Increasing buffer size...")
            await asyncio.sleep(LOAD_UPDATE_INTERVAL)

    async def process_message(self, message):
        await asyncio.sleep(process_delay)
        if message.priority == HIGH_PRIORITY_GROUP:
            msg_priority_buffer = get_high_priority_buffer(message)
            processed_msg = execute_processing_function(msg_priority_buffer)
            return send_result_to_sender(processeded_msg)

import heapq
from collections import deque

MAX_BUFFER_SIZE = 100
BUFFER_QUEUE_SIZE = MAX_BUFFER_SIZE * 2
WEIGHTS = [0] + list(range(1, BUFFER_QUEUE_SIZE))
PATH_WEIGHT = {f"P{index}": weight for index, weight in enumerate(WEIGHTS)}

class Node:
    def __init__(self):
        self.buffer_queue = deque(maxlen=BUFFER_QUEUE_SIZE)

    def process_packet(self, packet_id, payload_size):
        if_full_buffer = len(self.buffer_queue) == MAX_BUFFER_SIZE
        updated_weights_after_operation = []
        pass


def main():
    nodes = [Node() for _ in range(BUFFER_QUEUE_SIZE)]
    tfo_algorithm(nodes)

if __name__ == "__main__":
    main()