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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 run(self):
 """Run flux analysis command."""


        # Load compound information
        def compound_name(id):
            if id not in self._model.compounds:
                return id
            return self._model.compounds[id].properties.get('name', id)

        # Reaction genes information
        def reaction_genes_string(id):
            if id not in self._model.reactions:
                return ''
            return self._model.reactions[id].properties.get('genes', '')

        reaction = self._get_objective()
        if not self._mm.has_reaction(reaction):
            self.fail(
                'Specified reaction is not in model: {}'.format(reaction))

        loop_removal = self._get_loop_removal_option()
        if loop_removal == 'none':
            result = self.run_fba(reaction)
        elif loop_removal == 'l1min':
            result = self.run_fba_minimized(reaction)
        elif loop_removal == 'tfba':
            result = self.run_tfba(reaction)

        optimum = None
        total_reactions = 0
        nonzero_reactions = 0
        for reaction_id, flux in sorted(result):
            total_reactions += 1
            if abs(flux) > self._args.epsilon:
                nonzero_reactions += 1

            if abs(flux) > self._args.epsilon or self._args.all_reactions:
                rx = self._mm.get_reaction(reaction_id)
                rx_trans = rx.translated_compounds(compound_name)
                genes = reaction_genes_string(reaction_id)
                print('{}\t{}\t{}\t{}'.format(
                    reaction_id, flux, rx_trans, genes))

            # Remember flux of requested reaction
            if reaction_id == reaction:
                optimum = flux

        logger.info('Objective flux: {}'.format(optimum))
        logger.info('Reactions at zero flux: {}/{}'.format(
            total_reactions - nonzero_reactions, total_reactions))