import numpy as np
# Generating synthetic time-series data
def generate_data(size=1000, sequence_length=10):
    data = np.sin(np.linspace(0, 10 * np.pi, size))  # Sine wave data
    sequences = [data[i:i+sequence_length] for i in range(size-sequence_length)]
    next_points = data[sequence_length:]
    return np.array(sequences), next_points