对于如下这种内容的log.log文件,如何从第9964行开始每跳过30行提取接下来10000行的reward数据:[32m[05-13 17:20:36 MainThread @train.py:373][0m Total Steps: 122 Reward: 10.252438767788885
时间: 2023-11-27 07:52:03 浏览: 100
HelpSteer2: Open-source dataset for training reward models
可以使用Python的文件读取和处理操作,具体步骤如下:
1. 打开文件并跳过前9963行:
```python
with open('log.log') as f:
for i in range(9963):
next(f)
```
2. 每隔30行读取一次,并提取接下来的10000行数据:
```python
rewards = []
for i in range(333):
for j in range(10000):
line = next(f)
reward = line.split()[-1]
rewards.append(float(reward))
# 跳过接下来的29行
for k in range(29):
next(f)
```
3. 最终得到的rewards列表即为所需的reward数据。完整代码如下:
```python
with open('log.log') as f:
for i in range(9963):
next(f)
rewards = []
for i in range(333):
for j in range(10000):
line = next(f)
reward = line.split()[-1]
rewards.append(float(reward))
for k in range(29):
next(f)
```
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