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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 max_extents(extents, zrange=False):
 """ Computes the maximal extent in 2D and 3D space from list of 4-tuples or 6-tuples. If zrange is enabled all extents are converted to 6-tuples to compute x-, y- and z-limits. """

    if zrange:
        num = 6
        inds = [(0, 3), (1, 4), (2, 5)]
        extents = [e if len(e) == 6 else (e[0], e[1], None,
                                          e[2], e[3], None)
                   for e in extents]
    else:
        num = 4
        inds = [(0, 2), (1, 3)]
    arr = list(zip(*extents)) if extents else []
    extents = [np.NaN] * num
    if len(arr) == 0:
        return extents
    with warnings.catch_warnings():
        warnings.filterwarnings('ignore', r'All-NaN (slice|axis) encountered')
        for lidx, uidx in inds:
            lower = [v for v in arr[lidx] if v is not None and not is_nan(v)]
            upper = [v for v in arr[uidx] if v is not None and not is_nan(v)]
            if lower and isinstance(lower[0], datetime_types):
                extents[lidx] = np.min(lower)
            elif any(isinstance(l, basestring) for l in lower):
                extents[lidx] = np.sort(lower)[0]
            elif lower:
                extents[lidx] = np.nanmin(lower)
            if upper and isinstance(upper[0], datetime_types):
                extents[uidx] = np.max(upper)
            elif any(isinstance(u, basestring) for u in upper):
                extents[uidx] = np.sort(upper)[-1]
            elif upper:
                extents[uidx] = np.nanmax(upper)
    return tuple(extents)