python中怎么把'output.txt'定义成"key_value_pairs.txt"

你可以使用操作系统(如Windows 或Linux)的命令行界面改名字，命令如下：

Windows:

Linux: 

或者在Python程序中使用os库中的rename函数：

import os
 
os.rename("output.txt", "key_value_pairs.txt")

相关问题

model.state_dict()

This method returns a dictionary containing the state of the model. The state dict contains all the trainable parameters of the model as key-value pairs. The keys are the parameter names and the values are the parameter values. The state dict can be used to save and load the model state.

Example:

import torch.nn as nn

# Define a simple model
model = nn.Sequential(
    nn.Linear(10, 5),
    nn.ReLU(),
    nn.Linear(5, 2),
)

# Print the state dict of the model
print(model.state_dict())

Output:

OrderedDict([('0.weight', tensor([[-0.1464, -0.0292, -0.0428, -0.1395, -0.2927,  0.0024, -0.1274,  0.2838,
          -0.1555, -0.1155],
        [ 0.0485, -0.0121,  0.2262,  0.1230,  0.1632, -0.1716,  0.0260, -0.1388,
          -0.0559, -0.0088],
        [ 0.1007, -0.0886, -0.0397, -0.2816,  0.1102,  0.1846,  0.2877, -0.1633,
          -0.0046, -0.2268],
        [ 0.2967,  0.2078,  0.2856,  0.1374,  0.1577, -0.0576, -0.2108, -0.1999,
           0.2785, -0.0573],
        [-0.0491, -0.0572,  0.0629,  0.2515,  0.2247, -0.1601, -0.2762,  0.0459,
          -0.2034,  0.0762]])), ('0.bias', tensor([-0.2045, -0.2039, -0.0141, -0.0620,  0.2876])), ('2.weight', tensor([[ 0.0092,  0.2682, -0.3807, -0.3963, -0.4518],
        [ 0.5443, -0.2556,  0.3782, -0.1193, -0.1083]])), ('2.bias', tensor([ 0.2886, -0.0211]))])

python编程用jieba做分词任务重，将键值对转换成列表生成一个txt文件之后如何把他的内容放到字典里

你可以使用 Python 中的字典推导式来将列表中的键值对转换成字典。以下是一个示例代码：

import jieba

# 用 jieba 分词
text = "Python 编程用 jieba 做分词任务很重要。"
words = jieba.lcut(text)

# 将键值对转换成列表
pairs = [(words[i], words[i+1]) for i in range(len(words)-1)]

# 将列表转换成字典
dictionary = {pair[0]: pair[1] for pair in pairs}

# 将字典写入 txt 文件
with open("output.txt", "w") as f:
    for key, value in dictionary.items():
        f.write(f"{key}: {value}\n")

# 从 txt 文件中读取内容并将其放入字典
new_dict = {}
with open("output.txt", "r") as f:
    for line in f:
        key, value = line.strip().split(": ")
        new_dict[key] = value

print(new_dict)

以上代码将文本 "Python 编程用 jieba 做分词任务很重要。" 分成了 "Python", "编程", "用", "jieba", "做", "分词", "任务", "很", "重要", "。" 这些单词，并生成了一个包含所有相邻单词键值对的列表。然后，使用字典推导式将列表转换成字典，并将其写入名为 "output.txt" 的 txt 文件中。接着，再从 txt 文件中读取内容，并将其放入一个新的字典中。最后，使用 print 函数输出了该字典的内容。