count=5# 指定需要选择的字符个数selected_characters=[]# 存储选择的字符列表whilelen(selected_characters)<count:random_number=random.randrange(len(characters))random_character=characters[random_number]selected_characters.append(random_character) 1. 2. 3. 4. 5. 6. 7. 8. 3. 完整代码示例 importrando...
在生成随机中文字符的过程中,我们可以通过序列图来展示对象之间的交互: CharacterConverterRandomGeneratorUserCharacterConverterRandomGeneratorUser请求生成 N 个汉字随机选择汉字编码转换编码为汉字返回汉字返回生成的汉字 序列图解析 用户请求:用户向随机生成器请求生成 N 个汉字。 生成随机编码:随机生成器根据请求生成随机的...
'attribute3': random.choice(['alpha', 'beta', 'gamma']), 'attribute4': random.choice([True, False]) } 示例 obj = RandomAttributes() for attr, value in obj.attributes.items(): print(f"{attr}: {value}") 2. 动态添加属性 使用setattr方法可以动态地为对象添加属性。 import random class ...
Python Code: importrandomimportstringprint("Generate a random alphabetical character:")print(random.choice(string.ascii_letters))print("\nGenerate a random alphabetical string:")max_length=255str1=""foriinrange(random.randint(1,max_length)):str1+=random.choice(string.ascii_letters)print(str1)pr...
importstringimportrandom defstring_generator(size):chars=string.ascii_uppercase+string.ascii_lowercasereturn''.join(random.choice(chars)for_inrange(size))defstring_num_generator(size):chars=string.ascii_lowercase+string.digitsreturn''.join(random.choice(chars)for_inrange(size))# Random String test=...
chain_order:]) else: # 如果当前状态没有后续词,则重新选择一个起始状态 state = random.choice(list(self.model.keys())) output = list(state) return ' '.join(output) if __name__ == "__main__": generator = MarkovTextGenerator() generated_text = generator.generate_text(100) print(...
class NotSoRandom(object): def seed(self, a=3): """Seed the world's most mysterious random number generator.""" self.seedval = a def random(self): """Look, random numbers!""" self.seedval = (self.seedval * 3) % 19 return self.seedval _inst = NotSoRandom() seed = _inst....
print(random.randint(1,10)) 6 生成随机数; print(random.randrange(1,20,2)) 不包含10,可以加步长;会跳着显示; print(random.sample([1,2,3,4,5,6,7],2)) #随机取两个值; [3, 1] print(random.sample(range(100),5)) #随机取五个值; [2, 3, 7, 5, 1] print(string.ascii_lowercas...
一类是generator,包括生成器和带yield的generator function。 这些可以直接作用于for循环的对象统称为可迭代对象:Iterable。 可以使用isinstance()判断一个对象是否是Iterable对象: >>>fromcollectionsimportIterator>>>isinstance((xforxinrange(10)), Iterator)True>>>isinstance([], Iterator)False>>>isinstance({}, ...
The seed is a value which initializes the random number generator. Random number generators produce values by performing some operation on a previous value. When the algorithm starts, the seed is the initial value on which the generator operates. The most important and difficult part of the gene...