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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 _localize(var, indexes_coords):
 """ Speed up for linear and nearest neighbor method. Only consider a subspace that is needed for the interpolation """

    indexes = {}
    for dim, [x, new_x] in indexes_coords.items():
        index = x.to_index()
        imin = index.get_loc(np.min(new_x.values), method='nearest')
        imax = index.get_loc(np.max(new_x.values), method='nearest')

        indexes[dim] = slice(max(imin - 2, 0), imax + 2)
        indexes_coords[dim] = (x[indexes[dim]], new_x)
    return var.isel(**indexes), indexes_coords