Python random sample: Select multiple random items (k sized random samples) from a list or set. Python weighted random choices: Select multiple random items with probability (weights) from a list or set. Python random seed: Initialize the pseudorandom number generator with a seed value. Python ...
Ques 3. How do you generate a random seed in Python? Ans. by using the random.seed() function, we can generate random seeds based on the current time. Ques 4. Can I generate truly random numbers in Python? Ans. Python’s built-in random module generates pseudo-random numbers, which ...
Python offersrandommodule that can generate random numbers. These are pseudo-random number as the sequence of number generated depends on the seed. If the seeding value is same, the sequence will be the same. For example, if you use 2 as the seeding value, you will always see the followin...
importnumpyasnpimportpandasaspddefgenerate_house_data(num_samples=1000):np.random.seed(42)# 设定随机种子以保证可重复性rooms=np.random.randint(1,6,size=num_samples)# 房间数量1到5area=np.round(np.random.uniform(50,250,size=num_samples),2)# 房屋面积50到250平米distance=np.round(np.random.uni...
random.SystemRandom([seed]) Theseed()method has no effect and is ignored. Therandom.getState()andrandom.setState()function is not available under this class and raisesNotImplementedErrorif called. Examples Let see how to userandom.SystemRandomto generate cryptographically secure random numbers. ...
如果需要生成的字符串是可重复的,可以使用Python的random模块中的seed函数来设置随机数种子。如果两次调用生成随机字符串的函数使用了相同的随机数种子,则会生成相同的字符串。例如: import random import string random.seed(0) letters = string.ascii_letters digits = string.digits punctuation = string.punctuation...
python outputs = model.generate(**inputs, do_sample=True, temperature=0.7, top_p=0.9) temperature=0.7 使得采样更有创造性,但不会太随机。 top_p=0.9 过滤掉低概率的词,提高文本质量。 class TemperatureLogitsWarper(LogitsProcessor): r""" [`LogitsProcessor`] for temperature (exponential scaling ...
0" # Generate a random seed between 0 and 2,147,483,646 # This helps ensure unique video generation results seed = random.randint(0, 2147483646) # Configure the video generation request with additional parameters model_input = { "taskType": "TEXT_VIDEO", "textToVideoParams": {"text": ...
示例代码(Python) import numpy as np import pandas as pd def generate_data(size=100, range_min=0, range_max=100, distribution='uniform', seed=None): if seed is not None: np.random.seed(seed) if distribution == 'uniform': data = np.random.randint(range_min, range_max + 1, size)...
at https://huggingface.co/datasets/Lemhf14/EasyJailbreak_Datasets dataset = JailbreakDataset(dataset='AdvBench') # Option 2: load dataset from a local file dataset = JailbreakDataset(local_file_type='csv', dataset='AdvBench.csv') # Randomly generate initial seed seeder = SeedRandom() seeder...