q13_cost_tc(i2) ..
  v13_cost_tc(i2) =e= sum(ct, i13_land(i2) * i13_tc_factor(ct,i2)
                     * vm_tau(i2)**i13_tc_exponent(ct,i2)
                     * (1+pm_interest(i2))**15);

# |  (C) 2008-2018 Potsdam Institute for Climate Impact Research (PIK),
# |  authors, and contributors see AUTHORS file
# |  This file is part of MAgPIE and licensed under GNU AGPL Version 3
# |  or later. See LICENSE file or go to http://www.gnu.org/licenses/
# |  Contact: magpie@pik-potsdam.de

##################
#### SETTINGS ####
##################

cfg <- list()

#### Main settings ####

# short description of the actual run
cfg$title <- "default"

# path to the submodel to be used relative to main model folder
cfg$model <- "main.gms"   #def = "main.gms"

#### input settings ####

# which input data sets should be used?
cfg$input <- c("isimip_rcp-IPSL_CM5A_LR-rcp2p6-noco2_rev29_h200_8a828c6ed5004e77d1ba2025e8ea2261.tgz",
               "rev3.15_8a828c6ed5004e77d1ba2025e8ea2261_magpie.tgz",
               "rev3.15_8a828c6ed5004e77d1ba2025e8ea2261_validation.tgz",
               "additional_data_rev3.29.tgz",
               "npi_ndc_base_SSP2_mixed.tgz")

#a list of repositories (please pay attention to the list format!) in which the
#files should be searched for. Files will be searched in all repositories until
#found, always starting with the first repository in the list. The argument must
#have the format of a named list with the url of the repository as name and a
#corresponding list of options such as username or password to access the
#repository as value. If no options are required the value has to be NULL. (e.g.
#list("ftp://my_pw_protected_server.de/data"=list(user="me",password=12345),
#     "http://free_server.de/dat"=NULL))
#Please add system or user specific repositories (such as repos with limited
#access for) through the R option "magpie_repos". Through the append command
#below it will get merged into cfg$repositories

cfg$repositories <- append(list("https://rse.pik-potsdam.de/data/magpie/public"=NULL),
                           getOption("magpie_repos"))


# Should input data be downloaded from source even if cfg$input did not change?
cfg$force_download <- FALSE

# Settings for the yield calibration
# * (TRUE): Yield calibration will be performed
# * (ifneeded): Yield calibration will only be executed if input data is
# *             downloaded from repository
# * (FALSE): Yield calibration will not be performed
cfg$recalibrate <- "ifneeded"     # def = ifneeded
# Up to which accuracy shall be recalibrated?
cfg$calib_accuracy <- 0.1         # def = 0.1
# What is the maximum number of iterations if the precision goal is not reached?
cfg$calib_maxiter <- 20           # def = 20
# factor determining how much the new calibration factor influences the result
# (0-1)
cfg$damping_factor <- 0.98        # def= 0.98
# switch on/of calibration of cropland (pasture will be left untouched)
cfg$calib_cropland <- TRUE         # def= TRUE


# Settings for NPI/NDC recalculation
# * (TRUE): NPI/NDC recalculation will be performed
# * (ifneeded): NPI/NDC recalculation will only be executed if current input files 
# *             are zero and policy switches (p32_aff_pol, p35_ad_pol, p35_emis_pol)
# *             are set to "npi" or "ndc". If policy switches are set to "none" 
# *             (default) NPI/NDC recalculation will not be performed
# * (FALSE): NPI/NDC recalculation will not be performed
cfg$recalc_npi_ndc <- TRUE    # def = ifneeded
# * should the new base run be calculated?
cfg$recalc_base_run <- FALSE
# * which national or subnational mappinng should be used
cfg$policyregions <- "iso"           # def = "iso"

#### magpie.gms settings ####
cfg$gms <- list()

# Set number of time steps (1-16) or type "less_TS" for remind time steps
cfg$gms$c_timesteps <- 10

# use of gdx files
cfg$gms$s_use_gdx <- 2  # def = 2
#*                   0:  gdx will not be loaded
#*                   1:  gdx is loaded in the first time step
#*                   2:  gdx is loaded in all time steps

# **----------------------------------------------------------------------------
# ***                           MODULES
# ***---------------------------------------------------------------------------

# ***---------------------    09_drivers   ----------------------------------------
# * (aug17): default drivers
cfg$gms$drivers <- "aug17"          # def = aug17
cfg$gms$c09_pop_scenario  <- "SSP2"    # def = SSP2
cfg$gms$c09_gdp_scenario  <- "SSP2"    # def = SSP2
# *   options:   SSP: "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"
# *             SRES: "A1", "A2", "B1", "B2"

# ***---------------------    10_land   ----------------------------------------
# * (feb15): default land realization
cfg$gms$land <- "feb15"          # def = feb15


# ***---------------------    11_costs   ------ --------------------------------
# * (default): default cost realization
cfg$gms$costs <- "default"          # def = default

# ***---------------------    12_interest_rate ---------------------------------
# * (glo_jan16): global interest rates - annuity calculated with macro m_annuity
# * (reg_feb18): regional interest rates, dependent on development state

cfg$gms$interest_rate <- "reg_feb18"          # def = reg_feb18

# * interest rate scenario: low, medium, high or mixed
cfg$gms$c12_interest_rate <- "medium"          # def = "medium"

# * investment time horizon (years)
cfg$gms$sm_invest_horizon <- 30                # def = 30

# ***---------------------    13_tc    -----------------------------------------
# * (endo_JUN16): endogenous technological change with full cost accounting
cfg$gms$tc <- "endo_JUN16"              # def = endo_JUN16

# * tc cost scenario: low, medium or high
cfg$gms$c13_tccost <- "medium"

# ***---------------------    14_yield    --------------------------------------
# * (biocorrect): yield calculations with correction for bioenergy crops
# * (staticpasture): no yield increases for pasture
# * (dynamic_apr18): dynamic pasture yield calculation
cfg$gms$yields <- "biocorrect"          # def = biocorrect

# * yield scenario
# *   options:   cc  (climate change)
# *             nocc (no climate change)
cfg$gms$c14_yields_scenario  <- "nocc"   # def = "nocc"

# * switch determing the effectivity of translating crop tc into pasture yield
# * increase. Value has to be in the range of 0 (no pasture yield growth)
# * and 1 (pasture yields increase linearily with tau)
cfg$gms$s14_yld_past_switch <- 0.25           # def = 0.25

# ***---------------------    15_food    ---------------------------------------
# * (anthropometrics_jan18): estimates food using scenario dependent regression
# *                          and demography drivers
cfg$gms$food <- "anthropometrics_jan18"            # def = anthropometrics_jan18

# * maximal number of iterations between food and magpie model before
# * simulation proceeds to next time step
cfg$gms$s15_maxiter <- 5                   # def = 5

# * convergence criteria: maximal allowed country-wise deviation in calculated
# *                       real income between iterations
cfg$gms$s15_convergence <- 0.05            # def = 0.05

# * switch between exogenous and endogenous food demand
# *  options: 0 (exogenous food demand) and 1 (endogenous food demand)
cfg$gms$s15_elastic_demand <- 1            # def =1

# * food scenario
# *   options:   SSP: "SSP1", "SSP2", "SSP3", "SSP4", "SSP5"
# *             SRES: "A1", "A2", "B1", "B2"
# *            OTHER: "PB" (planetary boundaries)
cfg$gms$c15_food_scenario <- "SSP2"        # def = SSP2

# * ruminant meat share scenario
# *   options:   constant, halving2050, mixed
cfg$gms$c15_rumscen <- "mixed"             # def = mixed

# ***---------------------    16_demand    -------------------------------------
# * (sector_may15): default for flexible regions
cfg$gms$demand <- "sector_may15"                # def = sector_may15

# ***---------------------    17_production    ---------------------------------
# * (flexreg_apr16): default production aggregation
cfg$gms$production <- "flexreg_apr16"          # def = flexreg_apr16

# ***---------------------    18_residues    -----------------------------------
# * (flexreg_apr16): detailed residue calculations
# * (off): off
cfg$gms$residues <- "flexreg_apr16"            # def = flexreg_apr16

# ***---------------------    20_processing    ---------------------------------
# * (coupleproducts_feb17): processing with couple products
# * (off): off
cfg$gms$processing <- "coupleproducts_feb17"        # def = coupleproducts_feb17

# ***---------------------    21_trade    --------------------------------------
# * (free_apr16):       free trade without restrictions
# * (off):              no trade at all
# * (selfsuff_flexreg): self-sufficiency based trade
# * (selfsuff_flexreg_cost): self-sufficiency based trade with trade costs related to exports
cfg$gms$trade <- "selfsuff_flexreg_cost"             # def = selfsuff_flexreg_cost

# * trade balance reduction scenario
# * (regionalized): regionalized trade balance reduction
# * (globalized):   globalized trade balance reduction
# * (fragmented):   fragmented trade balance reduction
cfg$gms$c21_trade_liberalization  <- "regionalized"       # def = regionalized

# * whether trade tariff should be considered
# * (0) without trade tariff
# * (1) with  trade tariff
cfg$gms$s21_trade_tariff <- 0               # def =0

# ***---------------------    30_crop    ---------------------------------------
# * (endo_jun13): dynamic cropland
cfg$gms$crop    <- "endo_jun13"               # def = endo_jun13

# ***---------------------    31_past    ---------------------------------------
# * (static):     static pasture
# * (endo_jun13): dynamic pasture
cfg$gms$past <- "endo_jun13"               # def = endo_jun13

# * Factor requirements (US$04 per ton DM)
cfg$gms$s31_fac_req_past  <- 1             # def = 1

# ***---------------------    32_forestry    -----------------------------------
# * (static_sep16) :     static forestry sector
# * (affore_vegc_dec16): static forestry sector + afforestation
cfg$gms$forestry  <- "affore_vegc_dec16"              # def = affore_vegc_dec16

# Afforestation policy
# * ("none"): no prescribed afforestation
# * ("npi"): prescribed afforestation based on NPI policies
# * ("ndc"): prescribed afforestation based on NPI+NDC policies
cfg$gms$c32_aff_policy <- "npi"              # def = "none"

# maximum total global afforestation in Mha (Inf = no constraint)
cfg$gms$s32_max_aff_area <- Inf              # def = Inf

# Switch to determine whether afforestation should be limited to
# certain latitudinal zones
# * ("unrestricted"): No regions excluded
# * ("noboreal"): Exclude boreal regions > 50deg N
# * ("onlytropical"): Afforestation only in tropical areas 20deg S-20deg N
cfg$gms$c32_aff_mask <- "noboreal"            # def = "noboreal"

# ***---------------------    34_urban   ---------------------------------------
# * (static): static urban
cfg$gms$urban   <- "static"                # def = static

# ***---------------------    35_natveg    --------------------------------------
# * 35_natveg includes primforest, secdforest and other land
# * (static):               static natveg land
# * (dynamic_mai17): 		dynamic natveg land
cfg$gms$natveg  <- "dynamic_mai17"           # def = dynamic_mai17

# * protected areas (primforest,secdforest,other land)
# * (WDPA) WDPA IUCN catI+II
# * (BH) Biodiversity Hotspots + WDPA
# * (FF) Frontier Forests + WDPA
# * (CPD) Centres of Plant Diversity + WDPA
# * (LW) last of the wild + WDPA
# * (none) no protection
# * (full) full protection
cfg$gms$c35_protect_scenario <- "WDPA"			# def = WDPA

# Avoided Deforestation policy
# * ("none"): no avoided deforestation
# * ("npi"): avoided deforestation based on NPI policies
# * ("ndc"): avoided deforestation based on NPI+NDC policies
cfg$gms$c35_ad_policy <- "npi"              # def = "none"

# Land-use change emission reduction policy (emissions from primforest and secdforest)
# * ("none"): no emission reduction policy
# * ("npi"): emission reduction policy based on NPI policies
# * ("ndc"): emission reduction policy based on NPI+NDC policies
cfg$gms$c35_emis_policy <- "npi"              # def = "none"

# ***---------------------    38_factor_costs    -------------------------------
# * (fixed_per_ton_nov16): factor costs fixed per ton
# * (mixed_feb17):         reimplementation of MAgPIE 3.0 default
cfg$gms$factor_costs <- "mixed_feb17"        # tentative default = mixed_feb17

# ***---------------------    39_landconversion    -----------------------------
# * (gdp_scaled_jun13): gdp based land conversion costs (new parametrization)
# * (gdp_vegc_mar18): land clearing costs based on GDP and vegetation carbon density. 
# *                   Land establishment costs based on GDP
cfg$gms$landconversion <- "gdp_vegc_mar18"     # def = gdp_vegc_mar18

# * land conversion cost scenario (works only with gdp_vegc_mar18)
# *   options:  low, medium, high
cfg$gms$c39_cost_scenario  <- "high"   # def = "high"

# ***---------------------    40_transport    ----------------------------------
# * (off):        no transport costs
# * (gtap_nov12): transport costs applied to crops and ruminant livestock
# *               products calibrated based on magpie-output (dynamic pasture)
# *               to match GTAP data
cfg$gms$transport <- "gtap_nov12"                   # def = gtap_nov12

# ***---------------------    41_area_equipped_for_irrigation    ---------------
# * (static):     no expansion
# * (endo_APR13): endogenous, cost driven expansion
cfg$gms$area_equipped_for_irrigation <- "endo_apr13"   # def = endo_APR13

# ***---------------------    42_water_demand   --------------------------------
# * (agr_sector_aug13): fixed fraction of water available is reserved
# *                     for other uses
# * (all_sectors_aug13): industrial, eletricity and domestic demand are
# *                     retrieved from WATERGAP data.
cfg$gms$water_demand<- "agr_sector_aug13"            # def = agr_sector_aug13

# * water demand scenario
# *   options:   cc  (climate change)
# *             nocc (no climate change)
cfg$gms$c42_watdem_scenario  <- "nocc"   # def = "nocc"

# * Choice of fraction of available water that is not
# * available for agriculture (only affects agr_sector_aug13 realization)
cfg$gms$s42_reserved_fraction <- 0.5         # def = 0.5

# * Scenario for non agricultural water demand from WATERGAP
# * (only affects all_sector_aug13 realization)
# * (1): SSP2
# * (2): A2
# * (3): B1
cfg$gms$s42_watdem_nonagr_scenario <- 1      # def = 1

# * Switch to determine the irrigation efficiency scenario
# * (1): global static value
# * (2): regional static values from gdp regression
# * (3): gdp driven increase
cfg$gms$s42_irrig_eff_scenario <- 1           # def = 1

# * Environmental flow protection policy
# * (off):   no EFP policy
# * (on):    global EFP policy starting in 2015
# * (mixed): EFP policy starting in 2015 only in hic regions
cfg$gms$c42_env_flow_policy <- "off"             # def = "off"

# * Environmental flow protection scenario
# * (0): do not consider environmental flows.
# *      s42_env_flow_base_fraction and
# *      s42_env_flow_fraction have no effect.
# * (1): Reserve a certain fraction of available water
# *      specified by s42_env_flow_fraction for
# *      environmental flows
# * (2): Each grid cell receives its own value for
# *      environmental flow protection based on LPJ
# *      results and a calculation algorithm by Smakhtin 2004.
# *      s42_env_flow_fraction has no effect.
cfg$gms$s42_env_flow_scenario <- 2             # def = 2

# * Fraction of available water that is reserved for the environment
# * in case of a protection policy
# * In which regions and timesteps a protection policy is in place is determined
# * in the file EFR_protection_policy.csv in the input folder
# * of the 42_water_demand module
cfg$gms$s42_env_flow_fraction <- 0.2           # def = 0.2

# * Fraction of available water that is reserved for the environment in case of
# * missing protection policy
cfg$gms$s42_env_flow_base_fraction <- 0.05      # def = 0.05

# ***---------------------    43_water_availability   --------------------------
# * (total_water_aug13): surface and ground water resources available
cfg$gms$water_availability <- "total_water_aug13"    # def = total_water_aug13

# * water availability scenario
# *   options:   cc  (climate change)
# *             nocc (no climate change)
cfg$gms$c43_watavail_scenario  <- "nocc"   # def = "nocc"

# ***-------------------------    45_climate   ---------------------------------
# * (static): static koeppengeiger climate classification data
cfg$gms$climate <- "static"    # def = static

# ***-------------------------    50_nr_soil_budget   --------------------------
# * (off):          off
# * (exoeff_aug16): exogenous nr efficiency
cfg$gms$nr_soil_budget <- "exoeff_aug16"    # def = exoeff_aug16

# * options: neff55_55_starty1990,neff60_60_starty1990,neff65_70_starty1990,
# *          neff65_70_starty2010,neff60_60_starty2010,neff55_60_starty2010,
# *          neff70_75_starty2010,neff75_80_starty2010,neff80_85_starty2010
cfg$gms$c50_scen_neff <- "neff60_60_starty2010"   # def = neff60_60_starty2010

# ***---------------------    51_nitrogen   ------------------------------------
# * (ipcc2006_sep16): IPCC based nitrogen implementation
# * (off):            no nitrogen calculations
cfg$gms$nitrogen    <- "ipcc2006_sep16"                 # def = ipcc2006_sep16

# ***---------------------    52_carbon   --------------------------------------
# * (normal_sep16): regrowth of carbon stocks starts from 0 in vegc and litc pools,
# * and from mean of cropland and pasture in soilc pool
# * (normal_dec17): regrowth of carbon stocks in all c pools starts from pasture levels
# * (off):          carbon calculations deactivated
cfg$gms$carbon <- "normal_dec17"                       # def = normal_dec17

# * carbon scenario
# *   options:   cc  (climate change)
# *             nocc (no climate change)
cfg$gms$c52_carbon_scenario  <- "nocc"   # def = "nocc"

# ***---------------------    53_methane   -------------------------------------
# * (ipcc2006_flexreg_apr16): IPCC 1996 methodology
# * (off):                    methane calculations deactivated
cfg$gms$methane  <- "ipcc2006_flexreg_apr16"    # def = ipcc2006_flexreg_apr16

# ***---------------------    54_phosphorus   ----------------------------------
# * (off): calculations deactivated
cfg$gms$phosphorus  <- "off"                     # def = off

# ***---------------------    55_awms   ---------------------------------------
# * (ipcc2006_aug16): animal waste management systems
# *                   (based on IPCC 2006 Guidelines)
# * (off):            deactivated animal waste management
cfg$gms$awms  <- "ipcc2006_aug16"                     # def = ipcc2006_aug16

# ***---------------------    56_ghg_policy   ----------------------------------
# * (price_sep16): GHG emission pricing - same annuity as used in other modules
cfg$gms$ghg_policy  <- "price_sep16"                     # def = price_sep16

# * pollutant price scenario
cfg$gms$c56_pollutant_prices <- "SSP2-Ref-SPA0"         # def = "SSP2-Ref-SPA0"
# *   options:  SSP1-Ref-SPA0, SSP2-Ref-SPA0, SSP5-Ref-SPA0,
# *             SSP1-26-SPA0, SSP1-37-SPA0, SSP1-45-SPA0,
# *             SSP2-26-SPA0, SSP2-37-SPA0, SSP2-45-SPA0, SSP2-60-SPA0,
# *             SSP5-26-SPA0, SSP5-37-SPA0, SSP5-45-SPA0, SSP5-60-SPA0,
# *             SSP1-26-SPA1, SSP1-37-SPA1, SSP1-45-SPA1,
# *             SSP2-26-SPA2, SSP2-37-SPA2, SSP2-45-SPA2, SSP2-60-SPA2,
# *             SSP5-26-SPA5, SSP5-37-SPA5, SSP5-45-SPA5, SSP5-60-SPA5,
# *             coupling

# * emission policies
# * options: none, all, ssp
# * ssp: CO2 emis from LUC in natveg; all CH4 and N2O emissions
cfg$gms$c56_emis_policy <- "ssp" 		# def = ssp

# * Treatment of negative costs originating from negative co2 emissions
# * reward negative co2 emissions (-Inf) or not (0)
# * s56_reward_neg_emis is applied on emission policy chosen in c56_emis_policy
# * In case of carbon pricing s56_reward_neg_emis = -Inf results in increase of other land
# * For runs with afforestation s56_reward_neg_emis should be 0 (default setting)
cfg$gms$s56_reward_neg_emis <- 0			# def = 0

# * economic incentive for afforestation (only effective if forestry=affore_vegc_dec16)
# * options: none, all, all50, vegc50, vegc33, vegc25
# * none: no carbon price applied on forestry carbon pools
# * all: full carbon price; all carbon pools
# * all50: 50% of carbon price; all carbon pools
# * vegc50: 50% of carbon price; only vegetation carbon pool
# * vegc33: 33% of carbon price; only vegetation carbon pool
# * vegc25: 25% of carbon price; only vegetation carbon pool
cfg$gms$c56_aff_policy <- "vegc33"		# def = vegc33

# ***---------------------    57_maccs   ---------------------------------------
# * (on_sep16):  maccs for non-CO2 emission mitigation activated
# * (off_jul16): maccs for non-CO2 emission mitigation deactivated
cfg$gms$maccs  <- "on_sep16"                     # def = on_sep16

# ***---------------------    58_carbon_removal   ------------------------------
# * (off_sep16): deactivated
cfg$gms$carbon_removal <- "off_sep16"                  # def = off_sep16

# ***-------------------------    59_som   -------------------------------------
# * (off): off
# * (cellpool_aug16): soil organic matter pool on cellular level
cfg$gms$som <- "off"    # def = off

# ***---------------------    60_bioenergy   -----------------------------------
# * (standard_flexreg_may17): fixed 1st generation demand based on Lotze Campen (2014),
# *                           scenario-depending 2nd gen demand which can be
# *                           either fullfilled by begr or betr
cfg$gms$bioenergy <- "standard_flexreg_may17"     # def = standard_flexreg_may17

# * 1st generation bioenergy demand scenarios based on Lotze Campen (2014)
# * (phaseout2020): increase until 2020, followed by phaseout until 2050
# * (const2020): increase until 2020, constant thereafter
# * (const2030): increase until 2030, constant thereafter
cfg$gms$c60_1stgen_biodem <- "const2020"               # def = const2020

# * 2nd generation bioenergy demand scenarios for standard realization
# *   options:  SSP1-Ref-SPA0, SSP2-Ref-SPA0, SSP5-Ref-SPA0,
# *             SSP1-26-SPA0, SSP1-37-SPA0, SSP1-45-SPA0,
# *             SSP2-26-SPA0, SSP2-37-SPA0, SSP2-45-SPA0, SSP2-60-SPA0,
# *             SSP5-26-SPA0, SSP5-37-SPA0, SSP5-45-SPA0, SSP5-60-SPA0,
# *             SSP1-26-SPA1, SSP1-37-SPA1, SSP1-45-SPA1,
# *             SSP2-26-SPA2, SSP2-37-SPA2, SSP2-45-SPA2, SSP2-60-SPA2,
# *             SSP5-26-SPA5, SSP5-37-SPA5, SSP5-45-SPA5, SSP5-60-SPA5,
# *             coupling
cfg$gms$c60_2ndgen_biodem <- "SSP2-Ref-SPA0"     # def = SSP2-Ref-SPA0

# * bioenergy demand level
# * (1): regional
# * (0): global
cfg$gms$c60_biodem_level <- 1                     # def = 1

# ***---------------------    62_material   ------------------------------------
# * (exo_flexreg_apr16): default
cfg$gms$material <- "exo_flexreg_apr16"

cfg$gms$c62_material_scenario <- "SSP2"

# ***---------------------    70_livestock   -----------------------------------
# * (fbask_jan16): default feed basket realization
cfg$gms$livestock <- "fbask_jan16"                  # def = fbask_jan16

# * feed scenario
# *   options:    ssp1, ssp2, ssp3, ssp4, ssp5, constant
cfg$gms$c70_feed_scen <- "ssp2"                     # def = ssp2

# ***-------------------    80_optimization ------------------------------------
# * (nlp_apr17):    solve procedure solving the whole, nonlinear problem
# *                 at once
# * (lp_nlp_apr17): alternative approach in which the nonlinear terms are
# *                 fixed first so that the linear problem can be solved
# *                 before the full problem is solved
cfg$gms$optimization <- "lp_nlp_apr17"              # def = lp_nlp_apr17

# maximal number of solve iterations
cfg$gms$s80_maxiter <- 30

# * (conopt3):         conopt3
# * (conopt4):         conopt4
# * (conopt4+cplex):   conopt4 followed by cplex with landdiff optimization 
# * (conopt4+conopt3): conopt4 followed by conopt3
cfg$gms$c80_nlp_solver <- "conopt4+conopt3"              # def = conopt4

# * 1: using optfile for specified solver settings
# * 0: default settings (optfile will be ignored)
cfg$gms$s80_optfile <- 1


#*******************************END MODULE SETUP********************************

#### Other settings (e.g. clustering, gdx files, ...): ####

# Decide whether the runs should be run sequentially (TRUE),
# or in parallel (FALSE)
# NA means that this decision is taken automatically
# (typically on cluster = FALSE and locally = TRUE)
cfg$sequential <- NA

# How should log information be treated?
# (0:no output, 2:write to full.log 3:show in console)
cfg$logoption <- 2

# Should output.R generate output?
# List of output scripts that should be used
# Available scripts can be found in scripts/output/
cfg$output <- c("rds_report",
                "validation",
                "interpolation",
                "DiffPlot_CropReshuffle",
                "LU_DiffPlots",
                "LandusePlots")

# Set the format for the results folder
# :date: is a placeholder for the current time stamp (e.g. "results:date:")
# :title: is a placeholder for the current run title (cfg$title)
cfg$results_folder <- "output/:title::date:"

# Which files should be copied into the output folder?
cfg$files2export <- list()
# Files that should be copied before MAgPIE is started
cfg$files2export$start <- c("input/info.txt",
                            "modules/10_land/input/avl_land.cs3",
                            "input/spatial_header.rda",
                            "scripts/run_submit/submit.R",
                            "scripts/run_submit/submit.sh",
                            ".Rprofile",
                            "input/*.spam",
                            "input/validation.mif")
# Files that should be copied after the MAgPIE run is finished
cfg$files2export$end <- NULL

# Folder run statistics should be submitted to
cfg$runstatistics <- "/p/projects/rd3mod/models/statistics/magpie"

# name of the overall model (just used for reporting purposes)
# should usually not be changed
cfg$model_name <- "MAgPIE"

# model version of the overall model (use extension "-rc" for release candidate
# and "-dev" for developer version)
cfg$model_version <- "4.0-rc"

# Should the model run in developer mode? This will loosen some restrictions,
# such as temporary toleration of coding etiquette violations
# Please make sure to set it to FALSE for production runs!
cfg$developer_mode <- FALSE

# Should the model run in debug mode?
# Download script will copy files from input to destination folder instead of
# moving it allowing to check whether something in the move/copy process goes
# wrong
cfg$debug <- FALSE

################################################################################