skimpy.analysis.mca.make
========================

.. py:module:: skimpy.analysis.mca.make

.. autoapi-nested-parse::

   .. module:: skimpy
      :platform: Unix, Windows
      :synopsis: Simple Kinetic Models in Python

   .. moduleauthor:: SKiMPy team

   [---------]

   Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
   Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.



Functions
---------

.. autoapisummary::

   skimpy.analysis.mca.make.make_mca_functions
   skimpy.analysis.mca.make.make_elasticity_fun
   skimpy.analysis.mca.make.make_elasticity_fun_single_cpu
   skimpy.analysis.mca.make.make_elasticity_fun_multicore
   skimpy.analysis.mca.make.make_elasticity_single_row


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

.. py:function:: make_mca_functions(kinetic_model, parameter_list, sim_type, mca_type=NET)

   Create the elasticity and flux functions for MCA
   :param kinmodel:
   :param parameter_list:
   :return:


.. py:function:: make_elasticity_fun(expressions, respective_variables, variables, parameters, pool=None)

   Create an ElasticityFunction with elasticity = dlog(expression)/dlog(respective_variable)
   :param expressions  tab_dict of expressions (e.g. forward and backward fluxes)
   :param variables    list of variables as string (e.g. concentrations or parameters)



.. py:function:: make_elasticity_fun_single_cpu(expressions, respective_variables, variables, parameters)

.. py:function:: make_elasticity_fun_multicore(expressions, respective_variables, variables, parameters, pool)

.. py:function:: make_elasticity_single_row(input)

   Halter function to compute a full row of the elasticity matrix
   :param input: input tuple of row, expression and all respective vars
   :return: