mapc_optimal.main
=================

.. py:module:: mapc_optimal.main


Classes
-------

.. autoapisummary::

   mapc_optimal.main.Main


Module Contents
---------------

.. py:class:: Main(log_approx, opt_type, solver, M)

   The main problem responsible for the selection and time division of configurations
   generated by the pricing problem.

   :param log_approx: Tuple containing the slopes and biases of the piecewise linear approximation of the logarithm function.
   :type log_approx: :py:class:`tuple[NDArray`, :py:class:`NDArray]`
   :param opt_type: The type of optimization problem to solve.
   :type opt_type: :py:class:`OptimizationType`
   :param solver: The solver used to solve the optimization problem.
   :type solver: :py:class:`pulp.LpSolver`
   :param M: The value of the big-M parameter.
   :type M: :py:class:`float`


   .. py:attribute:: log_approx


   .. py:attribute:: opt_type


   .. py:attribute:: solver


   .. py:attribute:: M


   .. py:method:: __call__(stations, link_node_b, conf_links, conf_link_rates, conf_total_rates, confs, baseline)

      Solves the main problem given the configurations generated by the pricing problem.
      Returns the dual variables, the shares of the configurations and the value of the objective function.

      :param stations: List of the station nodes.
      :type stations: :py:class:`list`
      :param link_node_b: Dictionary containing the mapping of links to the station nodes.
      :type link_node_b: :py:class:`dict`
      :param conf_links: Dictionary containing the links of each configuration.
      :type conf_links: :py:class:`dict`
      :param conf_link_rates: Dictionary containing the rates of each link for each configuration.
      :type conf_link_rates: :py:class:`dict`
      :param conf_total_rates: Dictionary containing the total rate of each configuration.
      :type conf_total_rates: :py:class:`dict`
      :param confs: List of the configurations.
      :type confs: :py:class:`list`
      :param baseline: Dictionary containing the baseline rates of the links.
      :type baseline: :py:class:`dict`

      :returns: **result** -- Tuple containing the results of the optimization problem and the value of the objective function.
      :rtype: :py:class:`tuple[dict`, :py:class:`float]`