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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_synidx(self, cellindex):
 """ Local function, draw and return synapse locations corresponding to a single cell, using a random seed set as `POPULATIONSEED` + `cellindex`. Parameters cellindex : int Index of cell object. Returns ------- synidx : dict `LFPy.Cell` compartment indices See also -------- Population.get_all_synIdx, Population.fetchSynIdxCell """

        #create a cell instance
        cell = self.cellsim(cellindex, return_just_cell=True)


        #local containers
        synidx = {}

        #get synaptic placements and cells from the network,
        #then set spike times,
        for i, X in enumerate(self.X):
            synidx[X] = self.fetchSynIdxCell(cell=cell,
                                             nidx=self.k_yXL[:, i],
                                             synParams=self.synParams.copy())

        return synidx