import numpy as np
from typing import List

class ShapeMorphing4D:
    def __init__(self, use_gpu: bool = False):
        self.scaler = None
    
    def train_morphing_model(self, shapes: List[np.ndarray], epochs: int = 100):
        pass
    
    def morph(self, shape1: np.ndarray, shape2: np.ndarray, num_frames: int = 50) -> List[np.ndarray]:
        morphed_frames = []
        
        for i in range(num_frames):
            t = i / (num_frames - 1)
            interpolated = (1 - t) * shape1 + t * shape2
            morphed_frames.append(interpolated)
        
        return morphed_frames
    
    def generate_variation(self, shape:  np.ndarray, num_variations: int = 10) -> List[np.ndarray]:
        variations = []
        
        for _ in range(num_variations):
            noise = np.random.randn(*shape.shape) * 0.1
            variation = shape + noise
            variations.append(variation)
        
        return variations