Dropout Forward (Training)

Implement the dropout forward pass in training mode.

Signature: def dropout_forward(x: np.ndarray, p: float, seed: int = 0) -> np.ndarray

• Each element is zeroed independently with probability p
• Surviving elements are scaled by 1/(1-p) (inverted dropout)
• Use np.random.default_rng(seed) for reproducibility