Complete the code to set a random seed in Python for reproducible results.
import random random.[1](42)
Using random.seed(42) sets the seed for Python's random module, ensuring reproducible random numbers.
Complete the code to set the seed for NumPy's random number generator.
import numpy as np np.random.[1](123)
rand or random instead of seed.NumPy uses np.random.seed() to set the seed for reproducible random numbers.
Fix the error in setting the seed for PyTorch's random number generator.
import torch torch.[1](2024)
seed or set_seed which do not exist in PyTorch.PyTorch uses torch.manual_seed() to set the seed for reproducibility.
Fill both blanks to set seeds for Python's random and NumPy's random generators for reproducibility.
import random import numpy as np random.[1](101) np.random.[2](101)
randint or random instead of seed.Both Python's random.seed() and NumPy's np.random.seed() must be set for consistent random behavior.
Fill all three blanks to set seeds for Python's random, NumPy's random, and PyTorch's random generators.
import random import numpy as np import torch random.[1](7) np.random.[2](7) torch.[3](7)
randint instead of seed or manual_seed.Set seeds using random.seed(), np.random.seed(), and torch.manual_seed() for full reproducibility.