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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _embed(x, order=3, delay=1):
 """Time-delay embedding. Parameters x : 1d-array, shape (n_times) Time series order : int Embedding dimension (order) delay : int Delay. Returns ------- embedded : ndarray, shape (n_times - (order - 1) * delay, order) Embedded time-series. """

    N = len(x)
    Y = np.empty((order, N - (order - 1) * delay))
    for i in range(order):
        Y[i] = x[i * delay:i * delay + Y.shape[1]]
    return Y.T