Ruff format
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@@ -746,7 +746,7 @@ class StatisticOutputTask(AsyncTask):
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data_fmt = "{:<32} {:>10} {:>12} {:>12} {:>12} {:>9.2f}¥ {:>10.1f} {:>10.1f} {:>12} {:>12}"
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total_replies = stats.get(TOTAL_REPLY_CNT, 0)
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output = [
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"按模型分类统计:",
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" 模型名称 调用次数 输入Token 输出Token Token总量 累计花费 平均耗时(秒) 标准差(秒) 每次回复平均调用次数 每次回复平均Token数",
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@@ -759,11 +759,11 @@ class StatisticOutputTask(AsyncTask):
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cost = stats[COST_BY_MODEL][model_name]
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avg_time_cost = stats[AVG_TIME_COST_BY_MODEL][model_name]
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std_time_cost = stats[STD_TIME_COST_BY_MODEL][model_name]
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# 计算每次回复平均值
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avg_count_per_reply = count / total_replies if total_replies > 0 else 0.0
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avg_tokens_per_reply = tokens / total_replies if total_replies > 0 else 0.0
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# 格式化大数字
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formatted_count = _format_large_number(count)
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formatted_in_tokens = _format_large_number(in_tokens)
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@@ -771,7 +771,7 @@ class StatisticOutputTask(AsyncTask):
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formatted_tokens = _format_large_number(tokens)
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formatted_avg_count = _format_large_number(avg_count_per_reply) if total_replies > 0 else "N/A"
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formatted_avg_tokens = _format_large_number(avg_tokens_per_reply) if total_replies > 0 else "N/A"
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output.append(
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data_fmt.format(
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name,
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@@ -800,7 +800,7 @@ class StatisticOutputTask(AsyncTask):
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data_fmt = "{:<32} {:>10} {:>12} {:>12} {:>12} {:>9.2f}¥ {:>10.1f} {:>10.1f} {:>12} {:>12}"
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total_replies = stats.get(TOTAL_REPLY_CNT, 0)
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output = [
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"按模块分类统计:",
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" 模块名称 调用次数 输入Token 输出Token Token总量 累计花费 平均耗时(秒) 标准差(秒) 每次回复平均调用次数 每次回复平均Token数",
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@@ -813,11 +813,11 @@ class StatisticOutputTask(AsyncTask):
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cost = stats[COST_BY_MODULE][module_name]
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avg_time_cost = stats[AVG_TIME_COST_BY_MODULE][module_name]
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std_time_cost = stats[STD_TIME_COST_BY_MODULE][module_name]
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# 计算每次回复平均值
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avg_count_per_reply = count / total_replies if total_replies > 0 else 0.0
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avg_tokens_per_reply = tokens / total_replies if total_replies > 0 else 0.0
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# 格式化大数字
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formatted_count = _format_large_number(count)
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formatted_in_tokens = _format_large_number(in_tokens)
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@@ -825,7 +825,7 @@ class StatisticOutputTask(AsyncTask):
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formatted_tokens = _format_large_number(tokens)
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formatted_avg_count = _format_large_number(avg_count_per_reply) if total_replies > 0 else "N/A"
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formatted_avg_tokens = _format_large_number(avg_tokens_per_reply) if total_replies > 0 else "N/A"
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output.append(
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data_fmt.format(
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name,
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