डिस्क्रीट डिस्ट्रीब्यूशंस के साथ काम करना

from torch.distributions import Categorical

def sample_from_distribution(probs):
    print(f"\nInput: {probs}")
    probs = torch.tensor(probs, dtype=torch.float32)
    # Instantiate the categorical distribution
    dist = ____(probs)
    # Take one sample from the distribution
    sampled_index = ____
    print(f"Taking one sample: index {sampled_index}, with associated probability {dist.probs[sampled_index]:.2f}")

# Specify 3 positive numbers summing to 1
sample_from_distribution([.3, ____, ____])
# Specify 5 positive numbers that do not sum to 1
sample_from_distribution([2, ____, ____, ____, ____])