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 ...
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...
为了确保生成的数据不重复,generate_instruction.py文件采用了多种策略和技术。首先,它使用了随机种子(random seed)来保证每次运行时生成的随机数序列是一致的,从而确保重复内容的可复现性。其次,它利用了去重技术(deduplication techniques),如哈希函数(hash function)和集合(set)数据结构,来检测并去除重复的指令数据。在...
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...
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. ...
activity_gen = NumpyRandomGenerator( method="choice", a=[low_activity, med_activity, high_activity], p=[.2, .7, .1], seed=next(example_circus.seeder)) And you can now use this timer profile and activity generator as part of your story: hello_world = example_circus.create_story( ...
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...
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 from transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-560m") model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") inputs = tokenizer(["A number:"], return_tensors="pt") # 默认生成 gen_out = model....