def generate_random_word(length): letters = string.ascii_lowercase return ''.join(random.choice(letters) for i in range(length)) 生成一个长度为5的随机单词 random_word = generate_random_word(5) print(random_word) 在这个例子中,我们首先导入了random库和string库。string.ascii_lowercase提供了所有...
下面是一个使用随机数生成器生成5个随机字母词语的示例代码: importrandomimportstringdefgenerate_random_word(length):word=''for_inrange(length):word+=random.choice(string.ascii_lowercase)returnword random_words=[]for_inrange(5):random_words.append(generate_random_word(5))print(random_words) 1. 2....
如果你需要生成多个单词,可以在一个循环中多次调用generate_random_word函数,并将生成的单词存储在一个列表中。 例如,生成10个随机单词: python random_words = [generate_random_word(3, 10) for _ in range(10)] for word in random_words: print(word) 这样,你就可以使用Python生成随机单词了。
print("游戏开始!") words_to_remember = generate_random_words(word_list, num_words_to_remember) display_words(words_to_remember) print(f"请在{time_to_remember}秒内记住这些单词。") time.sleep(time_to_remember) print("时间到!") user_words = get_user_input() score = calculate_score(word...
fit_words(frequencies) 该函数根据词频生成词云generate_from_frequencies(frequencies[, ……]) 根据词频生成词generate(text) 根据文本生成词云process_text(text) 将长文本分词并去除屏蔽词（此处指英语，中文分词还是需要自己用别的库先行实现，使用上面的 fit_words(frequencies) ）recolor([random_state, ...
importstring,randomrandword=lambdan:"".join([random.choice(string.ascii_letters)foriinrange(n)])...
This is a simple python package to generate random English words. If you need help after reading the below, please find me on Twitter at@vaibhavsingh97. If you love the package, please 🌟 the repo. Installation You should be able to install usingeasy_installorpipin the usual ways: ...
``` # Python script to generate random text import random import string def generate_random_text(length): letters = string.ascii_letters + string.digits + string.punctuation random_text = ''.join(random.choice(letters) for i in range(length)) return random_text ``` 说明: 此Python脚本生成...
chain_order): state = tuple(words[i:i + self.chain_order]) next_word = words[i + self.chain_order] self.model[state].append(next_word) def generate_text(self, length=100): if not self.model: return "模型未训练,请先加载数据。" state = random.choice(list(self.model.keys())) ...
You’ve probably seen random.seed(999), random.seed(1234), or the like, in Python. This function call is seeding the underlying random number generator used by Python’s random module. It is what makes subsequent calls to generate random numbers deterministic: input A always produces output ...