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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 identify_groups(groups):
 """ To compute number of unique elements in a given membership specification. Parameters groups : numpy 1d array of length p, each value specifying which group that particular node belongs to. For examlpe, if you have a cortical thickness values for 1000 vertices belonging to 100 patches, this array could have numbers 1 to 100 specifying which vertex belongs to which cortical patch. Although grouping with numerical values (contiguous from 1 to num_patches) is strongly recommended for simplicity, this could also be a list of strings of length p. Returns ------- group_ids : numpy array of values identifying the unique groups specified num_groups : scalar value denoting the number of unique groups specified """


    group_ids = np.unique(groups)
    num_groups = len(group_ids)

    if num_groups < 2:
        raise ValueError('There must be atleast two nodes or groups in data, for pair-wise edge-weight calculations.')

    return group_ids, num_groups