[Python] Numpythonic way of the inverse of sliding_window_view

I have original array test:

from numpy.lib.stride_tricks import sliding_window_view

test = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14]).reshape(-1,7) # (batch_size, seq_len) -> (2,7)
slided = sliding_window_view(test, window_shape=(3,), axis=-1).copy()
print(test, test.shape)
print(slided, slided.shape)


Outputting:

[[ 1 2 3 4 5 6 7]
[ 8 9 10 11 12 13 14]] (2, 7)

[[[ 1 2 3]
[ 2 3 4]
[ 3 4 5]
[ 4 5 6]
[ 5 6 7]]

[[ 8 9 10]
[ 9 10 11]
[10 11 12]
[11 12 13]
[12 13 14]]] (2, 5, 3)


Given copied of slided array that was computed by sliding_window_view returning shape (batch_size, num_win, win_len), how do I reconstruct back into original array test with the shape of (batch_size, seq_len)?

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