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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 get_dimord(measure, calc=None, community=None):
 """ Get the dimension order of a network measure. Parameters measure : str Name of funciton in teneto.networkmeasures. calc : str, default=None Calc parameter for the function community : bool, default=None If not null, then community property is assumed to be believed. Returns ------- dimord : str Dimension order. So "node,node,time" would define the dimensions of the network measure. """


    if not calc:
        calc = ''
    else:
        calc = '_' + calc
    if not community:
        community = ''
    else:
        community = 'community'
    if 'community' in calc and 'community' in community:
        community = ''
    if calc == 'community_avg' or calc == 'community_pairs':
        community = ''

    dimord_dict = {
        'temporal_closeness_centrality': 'node',
        'temporal_degree_centrality': 'node',
        'temporal_degree_centralit_avg': 'node',
        'temporal_degree_centrality_time': 'node,time',
        'temporal_efficiency': 'global',
        'temporal_efficiency_global': 'global',
        'temporal_efficiency_node': 'node',
        'temporal_efficiency_to': 'node',
        'sid_global': 'global,time',
        'community_pairs': 'community,community,time',
        'community_avg': 'community,time',
        'sid': 'community,community,time',
        'reachability_latency_global': 'global',
        'reachability_latency': 'global',
        'reachability_latency_node': 'node',
        'fluctuability': 'node',
        'fluctuability_global': 'global',
        'bursty_coeff': 'edge,edge',
        'bursty_coeff_edge': 'edge,edge',
        'bursty_coeff_node': 'node',
        'bursty_coeff_meanEdgePerNode': 'node',
        'volatility_global': 'time',
    }
    if measure + calc + community in dimord_dict:
        return dimord_dict[measure + calc + community]
    else:
        print('WARNINGL: get_dimord() returned unknown dimension labels')
        return 'unknown'