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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 set_components(self, params):
 """ Set the value of exogenous model elements. Element values can be passed as keyword=value pairs in the function call. Values can be numeric type or pandas Series. Series will be interpolated by integrator. Examples -------- """

        # It might make sense to allow the params argument to take a pandas series, where
        # the indices of the series are variable names. This would make it easier to
        # do a Pandas apply on a DataFrame of parameter values. However, this may conflict
        # with a pandas series being passed in as a dictionary element.

        for key, value in params.items():
            if isinstance(value, pd.Series):
                new_function = self._timeseries_component(value)
            elif callable(value):
                new_function = value
            else:
                new_function = self._constant_component(value)

            func_name = utils.get_value_by_insensitive_key_or_value(key, self.components._namespace)

            if func_name is None:
                raise NameError('%s is not recognized as a model component' % key)

            if '_integ_' + func_name in dir(self.components):  # this won't handle other statefuls...
                warnings.warn("Replacing the equation of stock {} with params".format(key),
                              stacklevel=2)

            setattr(self.components, func_name, new_function)