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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 insert_synapses(self, cell, cellindex, synParams, idx = np.array([]), X='EX', SpCell = np.array([]), synDelays = None):
 """ Insert synapse with `parameters`=`synparams` on cell=cell, with segment indexes given by `idx`. `SpCell` and `SpTimes` picked from Brunel network simulation Parameters cell : `LFPy.Cell` instance Postsynaptic target cell. cellindex : int Index of cell in population. synParams : dict Parameters passed to `LFPy.Synapse`. idx : numpy.ndarray Postsynaptic compartment indices. X : str presynaptic population name SpCell : numpy.ndarray Presynaptic spiking cells. synDelays : numpy.ndarray Per connection specific delays. Returns ------- None See also -------- Population.insert_all_synapses """

        #Insert synapses in an iterative fashion
        try:
            spikes = self.networkSim.dbs[X].select(SpCell[:idx.size])
        except AttributeError as ae:
            raise ae, 'could not open CachedNetwork database objects'


        #apply synaptic delays
        if synDelays is not None and idx.size > 0:
            for i, delay in enumerate(synDelays):
                if spikes[i].size > 0:
                    spikes[i] += delay

        #create synapse events:
        for i in range(idx.size):
            if len(spikes[i]) == 0:
                pass
                #print 'no spike times, skipping network cell #%i' % SpCell[i]
            else:
                synParams.update({'idx' : idx[i]})
                # Create synapse(s) and setting times using class LFPy.Synapse
                synapse = LFPy.Synapse(cell, **synParams)
                #SpCell is a vector, or do not exist
                synapse.set_spike_times(spikes[i] + cell.tstartms)