Added extra run file for the covid-19 paper, run_TWIST_covid19.py, which can be run via commandlines

re-calibrated rice and corn with alpha_s fixed to 0.1, made runs with historic importStrat activated

Fixed bug. Now the global demand curve is taking into account lowered consumption if include_consReduction = True. Before this was not properbly implemented in the funs.consumerDemandCurve

Added missing arguments q_storage_max_cons_type, q_out_offset_type which were only incorporated in the fitting_freeParam branch and not the scenario branch.

Changed scenario so that one can now chose to reduce consumption when export restrictions are active to account for direct consumption of the region that has started with an export ban. The absolute amount of consumption reduction is also reduced from the producer storage, to compensate for direct consumption.

Split production decline into two scenarios, added so that consumption can be fixed to reported values for scenarios and also the posibility for consumption decline for the scenario year

Implemented flexible consumption where the new consumption is added to the historic time series for the scenario years, and the running mean is updated during the loop and the scenario length is completely free since no historic data is needed for the scenario period.

One type scenario where the production is constant for baseline and declined for the following scenario years and where the consumption is calculated as FlexCons, for both the historic and scenario period

Added parameter scenario_start_consumer_stock to the TWIST main() in TWIST_simpleCore.py which is used when running a scenario. The beginning stock of the initial scenario year will then be set to the scenario_start_consumer_stock value.

Changed in TWIST_runScenario.py so that the scenario run is done three time with historic low, average and high beginning stock levels. Updated the plotting routine for the three different type of storage levels.

Added baseline option where the production is keep fixed and the consumption is matched to production for the scenario years. And scenario has production failure of a certain degree based on the production the year before the shock and then keep constant for the following years

Added a fitting routine and removed the bmi files. Updated the TWIST_coreSimple.py file so the code can be run as a function with arguments instead of reading in the settings.py file, and it also returns the output of the run. Added more corps in the TWIST_settings,py file. Updated TWIST_functions.py to included functions needed for the fitting.

Added a non default parameter fitting_param=False to the main() function, which should be use if you want to fit the free parameter, otherwise the values are read in from the TWIST_settings.py file.

Changed so that the parameters specific for the run is passed by as the argument fitting_param to the TWIST_coreSimple.main() instead of opening TWIST_settings.py and change specific rows each time.

Fits multiple runs with varying initial guess, using scipy.optimize.leastsq. it changes the parameter by opening the TWIST_settings.py file and chancing specific rows.

Added components for `BmiTime` class and updated README to demonstrate class inheritance using the `Bmi` superclass

Major commit includes adding the Basic Modeling Interface (BMI) stub at , adding a function wrapper for the BMI at  as well as a major refactor of  so that it is now object oriented. Now,  contains a class called  which initializes the TWIST model. This object can be initalized with the  function, incremented one time step with the  function, and run to completion with the  function.'

Updated `/main/TWIST_settings.py` so that if a results directory does not exist, it is created. Updated the README to provide installation and run instructions.

Updated TWIST modules so that the `localbasedir` for the TWIST repository is read from `/main/TWIST_settings.py`. This makes it easier for a new user to run TWIST as they must only change the `localbasedir` in one location (the settings file)