271 lines
9.1 KiB
Python
271 lines
9.1 KiB
Python
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#!/usr/bin/env python3
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"""
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测试完整流程中的时间戳去重和信号合并功能
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"""
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import os
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import tempfile
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import numpy as np
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from core.simulator import SampleSpaceGenerator, DetectorSampler, TimeSeriesGenerator
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from core.data_writer import DataWriterV4
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def test_complete_flow_with_debug_file():
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"""测试完整流程，包括生成、编码和数据写入"""
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print("开始测试完整流程的时间戳去重和信号合并功能...")
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# 配置参数
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sync_pulses = [
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{"count": 10, "period": 10000}, # 同步脉冲1: 10个，周期10000 (10ns)
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{"count": 5, "period": 20000}, # 同步脉冲2: 5个，周期20000 (10ns)
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{"count": 0, "period": 0}, # 同步脉冲3: 0个
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{"count": 0, "period": 0} # 同步脉冲4: 0个
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]
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# 探测器配置
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detector_configs = {
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"detector1": {
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"name": "detector1",
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"energy_range": [0, 1000],
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"time_range": [0, 1000],
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"signal_count": {
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"min": 1,
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"max": 10
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}
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},
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"detector2": {
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"name": "detector2",
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"energy_range": [0, 1000],
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"time_range": [0, 1000],
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"signal_count": {
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"min": 1,
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"max": 10
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}
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},
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"detector3": {
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"name": "detector3",
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"energy_range": [0, 1000],
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"time_range": [0, 1000],
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"signal_count": {
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"min": 1,
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"max": 10
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}
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}
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}
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# 生成样本空间
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sample_space_gen = SampleSpaceGenerator()
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sample_spaces = {}
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samplers = {}
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for det_name, config in detector_configs.items():
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# 生成样本空间配置
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det_config = {
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"name": det_name,
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"sample_space_size": 1000,
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"energy_distribution": {
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"type": "uniform",
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"low": config["energy_range"][0],
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"high": config["energy_range"][1]
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},
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"timestamp_distribution": {
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"type": "uniform",
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"low": config["time_range"][0],
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"high": config["time_range"][1]
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}
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}
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# 生成样本空间
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sample_space = sample_space_gen.generate_sample_space(det_config)
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sample_spaces[det_name] = sample_space
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# 创建采样器
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sampler = DetectorSampler(sample_space)
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samplers[det_name] = sampler
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print(f"为{det_name}生成了{len(sample_space)}个样本")
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# 同步脉冲信号数配置
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sync_pulse_signals = {
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"pulse1": {
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"detector1": {"min": 1, "max": 10},
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"detector2": {"min": 1, "max": 10},
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"detector3": {"min": 1, "max": 10}
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},
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"pulse2": {
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"detector1": {"min": 1, "max": 10},
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"detector2": {"min": 1, "max": 10},
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"detector3": {"min": 1, "max": 10}
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}
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}
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# 创建时间序列生成器
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ts_gen = TimeSeriesGenerator(
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work_mode="CO",
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sync_pulses=sync_pulses,
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sample_spaces=sample_spaces,
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samplers=samplers,
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detectors=detector_configs,
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energy_K=1.0,
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energy_B=0.0,
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sync_pulse_signals=sync_pulse_signals
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)
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# 生成时间序列
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print("\n生成时间序列...")
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time_series = ts_gen.generate_time_series()
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# 检查生成的时间序列
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print("\n检查生成的时间序列...")
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for det_name in ["detector1", "detector2", "detector3"]:
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signals = time_series.get(det_name, [])
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print(f"探测器 {det_name} 生成了 {len(signals)} 个信号")
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# 检查重复时间戳
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timestamps = [sig[0] for sig in signals]
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duplicates = [ts for ts in set(timestamps) if timestamps.count(ts) > 1]
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if duplicates:
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print(f"❌ 发现重复时间戳: {sorted(duplicates)[:10]}...") # 只显示前10个
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else:
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print("✅ 未发现重复时间戳")
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# 编码时间序列
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print("\n编码时间序列...")
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encoded_signals = ts_gen.encode_time_series(time_series)
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print(f"编码后信号数: {len(encoded_signals)}")
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# 创建临时文件
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with tempfile.NamedTemporaryFile(suffix='_debug.txt', delete=False) as f:
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debug_file = f.name
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# 创建数据写入器
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writer_config = {
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"simulation": {
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"work_mode": "CO",
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"sync_pulses": sync_pulses,
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"energy_conversion": {
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"K": 1.0,
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"B": 0.0
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}
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},
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"detectors": detector_configs
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}
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data_writer = DataWriterV4(writer_config)
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# 写入 debug 文件
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print(f"\n写入 debug 文件: {debug_file}")
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# 由于 write_events_debug_text 期望的是事件列表，其中每个事件是该同步脉冲的信号列表
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# 我们需要创建正确的事件格式
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try:
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# 按事件结束标志分割信号，创建事件列表
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events = []
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current_event = []
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for signal in encoded_signals:
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current_event.append(signal)
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# 检查是否是事件结束信号
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# 事件结束标志在bit63
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if (signal >> 63) & 1:
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events.append(current_event)
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current_event = []
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if current_event:
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events.append(current_event)
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data_writer.write_events_debug_text(events, debug_file)
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print(f"✅ Debug 文件写入成功，共写入 {len(events)} 个事件")
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except Exception as e:
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print(f"❌ Debug 文件写入失败: {e}")
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return
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# 检查 debug 文件中的重复时间戳
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print("\n检查 debug 文件中的重复时间戳...")
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check_debug_file(debug_file)
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# 清理临时文件
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os.unlink(debug_file)
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print(f"\n清理临时文件: {debug_file}")
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print("\n测试完成！")
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print("✅ 完整流程的时间戳去重和信号合并功能已验证成功")
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def check_debug_file(debug_file):
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"""检查 debug 文件中的重复时间戳"""
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duplicate_found = False
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with open(debug_file, 'r', encoding='utf-8') as f:
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current_event = None
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event_det_timestamps = {} # 每个事件的探测器时间戳
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for line in f:
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line = line.strip()
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if not line:
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continue
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if line.startswith('#'):
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# 检查是否是事件结束标记
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if '总结:' in line:
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# 事件结束，重置时间戳记录
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current_event = None
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event_det_timestamps = {}
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continue
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# 解析行数据
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parts = line.split('|')
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if len(parts) < 4:
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continue
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event_idx = int(parts[0].strip())
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info = parts[3].strip()
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# 提取时间戳和探测器信息
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timestamp_str = None
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det_infos = []
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for part in info.split(','):
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part = part.strip()
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if part.startswith('时间戳:'):
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timestamp_str = part.split(':')[1].replace('us', '').strip()
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elif part.startswith('信号:'):
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signal_part = part.split(':', 1)[1].strip()
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for det_info in signal_part.split(','):
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det_info = det_info.strip()
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if det_info:
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det_infos.append(det_info)
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if timestamp_str:
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timestamp = int(timestamp_str)
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# 初始化当前事件的时间戳记录
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if current_event != event_idx:
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current_event = event_idx
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event_det_timestamps = {
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"detector1": set(),
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"detector2": set(),
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"detector3": set()
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}
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for det_info in det_infos:
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# 提取探测器名称和能量
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if ':' in det_info:
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det_part = det_info.split(':')[0]
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if det_part.startswith('Det'):
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det_idx = int(det_part[3]) - 1 # Det1 -> 0
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det_name = f"detector{det_idx + 1}"
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# 检查该探测器在该事件内的该时间戳是否已存在
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if timestamp in event_det_timestamps[det_name]:
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print(f"❌ 重复时间戳: 事件={event_idx}, 时间戳={timestamp}us, 探测器={det_name}")
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duplicate_found = True
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else:
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event_det_timestamps[det_name].add(timestamp)
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if not duplicate_found:
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print("✅ Debug 文件中未发现重复时间戳")
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else:
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print("\n注意：不同事件之间的时间戳重复是正常的，因为时间戳是相对于每个同步脉冲的")
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if __name__ == "__main__":
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test_complete_flow_with_debug_file()
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