input_texts = [] target_texts = [] input_characters = set() target_characters = set() with open(data_path, 'r', encoding='utf-8') as f: lines = f.read().split('\n') for line in lines[: min(num_samples, len(lines) - 1)]: input_text, target_text = line.split('\t') target_text = '\t' + target_text + '\n' input_texts.append(input_text) target_texts.append(target_text) for char in input_text: if char not in input_characters: input_characters.add(char) for char in target_text: if char not in target_characters: target_characters.add(char) input_characters = sorted(list(input_characters)) target_characters = sorted(list(target_characters))
时间: 2024-02-26 08:54:53 浏览: 16
这段代码基本上是一个数据预处理的过程,它会读取一个数据集文件,将每一行按照`\t`分割成输入文本和目标文本,并将目标文本加上起始标记`\t`和结束标记`\n`,然后将它们分别存储在`input_texts`和`target_texts`两个列表中。在这个过程中,还会记录输入文本和目标文本中所有出现过的字符,并将它们分别保存在`input_characters`和`target_characters`两个集合中。最后,对两个集合进行排序,然后分别将它们转换为有序列表`input_characters`和`target_characters`,这些列表将用于后面的数据编码和模型构建。总的来说,这段代码是数据预处理中的一个重要步骤,它将原始的文本数据转换成了模型可以直接处理的数字序列。
相关问题
优化以下代码,使其符合python运行格式input_texts = [] target_texts = [] input_characters = set() target_characters = set() with open(data_path, 'r', encoding='utf-8') as f: lines = f.read().split('\n') for line in lines[: min(num_samples, len(lines) - 1)]: input_text, target_text = line.split('\t') target_text = '\t' + target_text + '\n' input_texts.append(input_text) target_texts.append(target_text) for char in input_text: if char not in input_characters: input_characters.add(char) for char in target_text: if char not in target_characters: target_characters.add(char) input_characters = sorted(list(input_characters)) target_characters = sorted(list(target_characters))
以下是优化后的代码:
```
input_texts = []
target_texts = []
input_characters = set()
target_characters = set()
with open(data_path, 'r', encoding='utf-8') as f:
lines = f.read().split('\n')
for line in lines[: min(num_samples, len(lines) - 1)]:
input_text, target_text = line.split('\t')
target_text = '\t' + target_text + '\n'
input_texts.append(input_text)
target_texts.append(target_text)
for char in input_text:
input_characters.add(char)
for char in target_text:
target_characters.add(char)
input_characters = sorted(list(input_characters))
target_characters = sorted(list(target_characters))
```
主要的改动有两个:
1. 在 `with open()` 语句后,增加了一个缩进用于将接下来的代码块与上一行的语句分开。
2. 将 `for` 语句的起始位置向右移动一个缩进,在它之前增加一个冒号 `:`,以符合 Python 的语法规则。
input_texts = [] target_texts = [] input_characters = set() target_characters = set() with open(data_path, 'r', encoding='utf-8') as f: lines = f.read().split('\n') if len(lines) < num_samples: num_samples = len(lines) - 1 for line in lines[:num_samples]: try: input_text, target_text = line.split('\t') target_text = '\t' + target_text + '\n' input_texts.append(input_text) target_texts.append(target_text) for char in input_text.strip(): input_characters.add(char) for char in target_text.strip(): target_characters.add(char) except ValueError: pass input_characters = sorted(list(input_characters)) target_characters = sorted(list(target_characters)) num_encoder_tokens = len(input_characters) num_decoder_tokens = len(target_characters) max_encoder_seq_length = max([len(txt.strip()) for txt in input_texts]) max_decoder_seq_length = max([len(txt.strip()) for txt in target_texts])在上面代码加一个条件判断,判断input text是不是空,如果是空就返回其他,如果不是空再返回那个max等式
可以按照以下方式添加条件判断:
```
input_texts = []
target_texts = []
input_characters = set()
target_characters = set()
with open(data_path, 'r', encoding='utf-8') as f:
lines = f.read().split('\n')
if len(lines) < num_samples:
num_samples = len(lines) - 1
for line in lines[:num_samples]:
try:
input_text, target_text = line.split('\t')
target_text = '\t' + target_text + '\n'
if input_text.strip() == "":
continue # 如果input text是空,跳过本次循环
input_texts.append(input_text)
target_texts.append(target_text)
for char in input_text.strip():
input_characters.add(char)
for char in target_text.strip():
target_characters.add(char)
except ValueError:
pass
if not input_texts:
print("No valid input texts found.")
else:
input_characters = sorted(list(input_characters))
target_characters = sorted(list(target_characters))
num_encoder_tokens = len(input_characters)
num_decoder_tokens = len(target_characters)
max_encoder_seq_length = max([len(txt.strip()) for txt in input_texts])
max_decoder_seq_length = max([len(txt.strip()) for txt in target_texts])
```
这样,在 input_texts 中没有有效的 input text 时,就会输出 "No valid input texts found." 的提示。
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