function [param_map, support_map] = ffs_ipwkz_set_default_param(varargin)

%% FFS_IPKZ_SET_DEFAULT_PARAM setting model default parameters

% Define model parameters, similar to

% <https://fanwangecon.github.io/CodeDynaAsset/m_akz/paramfunc/html/ffs_akz_set_default_param.html

% ffs_akz_set_default_param> see that file for descriptions.

%

% Several changes here: 1, inclusion of percentage based choice grids

%

% @param it_subset integer default parameter control subsetting. it_subset = 1 is

% basic invoke quick test. it_subset = 2 is main invoke. it_subset = 3 is

% profiling invoke. it_subset = 4 is matlab publish.

%

% @param bl_display_defparam boolean local printing

%

% @return param_map container parameters needed for solving the model

%

% @return support_map container programming control parameters like to graph to print etc

%

% @example

%

%   it_param_set = 1;

%   [param_map, support_map] = ffs_akz_set_default_param(it_param_set);

%

% @seealso

%

% * <https://fanwangecon.github.io/CodeDynaAsset/m_ipwkbz/paramfunc/html/ffs_ipwkbz_set_default_param.html ffs_ipwkbz_set_default_param>

% * <https://fanwangecon.github.io/CodeDynaAsset/m_ipwkbzr/paramfunc/html/ffs_ipwkbzr_set_default_param.html ffs_ipwkbzr_set_default_param>

% * <https://fanwangecon.github.io/CodeDynaAsset/m_fibs/m_ipwkbz_paramfunc/html/ffs_ipwkbz_fibs_set_default_param.html ffs_ipwkbz_fibs_set_default_param>

% * <https://fanwangecon.github.io/CodeDynaAsset/m_fibs/m_ipwkbzr_paramfunc/html/ffs_ipwkbzr_fibs_set_default_param.html ffs_ipwkbzr_fibs_set_default_param>

%

%% Default

it_subset = 4; 

if (isempty(varargin)) 

    bl_display_defparam = true;

else 

    bl_display_defparam = false; 

end 

default_params = {it_subset bl_display_defparam}; 

[default_params{1:length(varargin)}] = varargin{:}; 

[it_subset, bl_display_defparam] = default_params{:}; 

%% Setting param_map container

param_map = containers.Map('KeyType','char', 'ValueType','any'); 

% model name

param_map('st_model') = 'ipwkz'; 

% Preferences

param_map('fl_crra') = 1.5; 

param_map('fl_beta') = 0.94; 

param_map('fl_nan_replace') = -9999; 

%% 1b. Production Function Parameters

% CD Production Function Parameters

param_map('fl_Amean') = 1; 

param_map('fl_alpha') = 0.36; 

param_map('fl_delta') = 0.08; 

%% 2a. Set Borrowing Control Parameters

% Borrowing Parameters

param_map('fl_b_bd') = 0; % borrow bound, = 0 if save only 

% Minimum Consumption, utility lower bound. The cmin parameter and

% fl_nan_replace parameter have no effects on value function, just for

% resetting invalid choice grid values. fl_nan_replace reset invalid k

% choice given w. fl_c_min resets invalid consumption levels due to w

% choices that are invalid. But this is the case when fl_w > 0.

param_map('fl_c_min') = 0.02; 

%% 2b. Set Asset Grid Parameters

% Asset Grids

% Toal savings aggregate grid (see discussion on top). 35 points picked for

% for this problem w_max is overall for everyone, but each individual coh

% levle has associated w_max. Unlike before, when we had it_w_n, now we

% have it_w_perc_n which is how many percentage grid points to have. We

% also now include fl_w_interp_grid_gap, the grip gap for interpolation.

param_map('fl_w_min') = param_map('fl_b_bd'); % but b_bd overrides this 

param_map('fl_w_max') = 50; 

param_map('it_w_perc_n') = 50; 

% Risky Capital Asset Vector

% see graph below for how it looks graphically

% in principle keep it_k_n the same as it_w_n to have equi-distance points

% in triangle choice grid. For the ipwkz this k_max is the overall max, not

% the individual max given coh. we have it_ak_perc_n rather than it_ak_n

% for percentage.

param_map('fl_k_min') = 0; 

param_map('fl_k_max') = (param_map('fl_w_max') - param_map('fl_b_bd')); 

param_map('it_ak_perc_n') = param_map('it_w_perc_n'); % grid for a and k the same 

% Prices

% shock is on k, not on labor, fl_w is fixed wage income

param_map('fl_w') = 1.28*0.3466; % min(z*w) from benchmark az model 

%% 2c. Set Asset Interpolation Parameters

% Interpolation

% fl_coh_interp_grid_gap controls the number of coh points at which to solve the model

% it_c_interp_grid_gap determines the gap between consumption terpolation

% points. For consumption interpolation 10^-4 is extremely accurate, there

% should be no perceptible differences in value and policy functions when the

% it_c_interp_grid_gap <= 0.001 compared to actual evaluation. Also include

% now fl_w_interp_grid_gap above, which is for interpolation over w.

param_map('fl_coh_interp_grid_gap') = 0.1; 

% param_map('it_coh_interp_n') = 500;

param_map('it_c_interp_grid_gap') = 10^-4; 

% Interpolation gap second stage w

% previously only it_w_n, now two grids control w it_w_perc_n for 2nd stage

% fl_w_interp_grid_gap for first stage, make them the same length for

% default.

param_map('fl_w_interp_grid_gap') = 0.1; 

% param_map('fl_w_interp_grid_gap') = (param_map('fl_w_max') - param_map('fl_w_min'))/param_map('it_w_perc_n');

%% 3. Set Interest Rates non-Shock Parameters

% Prices

% shock is on k, not on labor, fl_w is fixed wage income

param_map('fl_w') = 1.28*0.3466; % min(z*w) from benchmark az model 

param_map('fl_r_save') = 0.025; 

param_map('fl_r_borr') = 0.095; 

%% 4. Set Shock 2 Productivity Shock Parameters

% Production Function

% Productivity Shock Parameters

param_map('it_z_n') = 15; 

param_map('fl_z_mu') = 0; 

param_map('fl_z_rho') = 0.8; 

param_map('fl_z_sig') = 0.2; 

%% 5. Set Solution Control Parameters

% Solution Accuracy

param_map('it_maxiter_val') = 250; 

param_map('it_maxiter_dist') = 1000; 

param_map('st_analytical_stationary_type') = 'eigenvector'; % could be loop or vector 

param_map('fl_tol_val') = 10^-5; 

param_map('fl_tol_pol') = 10^-5; 

param_map('fl_tol_dist') = 10^-5; 

param_map('it_tol_pol_nochange') = 25; % number of iterations where policy does not change 

%% Setting support_map container

support_map = containers.Map('KeyType','char', 'ValueType','any'); 

% root directory

[st_root_path] = preamble(false); 

st_matimg_path_root = [st_root_path '/m_ipwkz/']; 

support_map('st_matimg_path_root') = st_matimg_path_root; 

% timer

support_map('bl_time') = true; 

% Print Controls

support_map('bl_display') = true; 

support_map('bl_display_dist') = false; 

support_map('it_display_every') = 5; % how often to print results 

% Profile Controls

support_map('bl_profile') = false; 

support_map('bl_profile_dist') = false; % distribution profile 

support_map('st_profile_path') = [st_matimg_path_root '/solve/profile/']; 

support_map('st_profile_prefix') = ['']; 

support_map('st_profile_name_main') = ['_default']; 

support_map('st_profile_suffix') = ['_p' num2str(it_subset)]; 

support_map('bl_post') = false; 

% Final Print

support_map('bl_display_final') = false; % print finalized results 

support_map('bl_display_final_dist') = false; % print finalized results 

support_map('bl_display_final_dist_detail') = false; 

support_map('it_display_final_rowmax') = 100; % max row to print (states/iters) 

support_map('it_display_final_colmax') = 12; % max col to print (shocks) 

it_display_summmat_rowmax = 7; 

it_display_summmat_colmax = 7; 

support_map('it_display_summmat_rowmax') = it_display_summmat_rowmax; 

support_map('it_display_summmat_colmax') = it_display_summmat_colmax; 

% Mat File Controls

support_map('bl_mat') = false; 

support_map('st_mat_path') = [st_matimg_path_root '/solve/mat/']; 

support_map('st_mat_prefix') = ['']; 

support_map('st_mat_name_main') = ['_default']; 

support_map('st_mat_suffix') = ['_p' num2str(it_subset)]; 

% Graphing Controls

support_map('bl_graph') = false; 

support_map('bl_graph_onebyones') = true; 

support_map('bl_graph_val') = true; 

support_map('bl_graph_pol_lvl') = true; 

support_map('bl_graph_pol_pct') = true; 

support_map('bl_graph_coh_t_coh') = true; 

% Image Saving Controls (given graphing)

support_map('st_title_prefix') = ''; 

support_map('bl_img_save') = false; 

support_map('st_img_path') = [st_matimg_path_root '/solve/img/']; 

support_map('st_img_prefix') = ['']; 

support_map('st_img_name_main') = ['_default']; 

support_map('st_img_suffix') = ['_p' num2str(it_subset) '.png']; 

support_map('st_mat_test_path') = [st_matimg_path_root '/test/ff_ipwkz_ds_vecsv/mat/']; 

% Sub-function graphing controls

support_map('bl_graph_funcgrids') = false; 

support_map('bl_graph_funcgrids_detail') = false; 

support_map('bl_display_funcgrids') = false; 

support_map('bl_graph_evf') = false; 

support_map('bl_display_evf') = false; 

support_map('bl_display_defparam') = false; 

%% Subset Options

%

% # it_subset = 1 is basic invoke quick test

% # it_subset = 2 is main invoke

% # it_subset = 3 is profiling invoke

% # it_subset = 4 is matlab publish.

%

% close figures

close all; 

if (ismember(it_subset, [3])) 

    % Profile run

    support_map('bl_profile') = true;

    support_map('bl_display') = false; % don't print

    support_map('bl_time') = true;

elseif (ismember(it_subset, [1,2,4])) 

    % Main Run

    support_map('bl_time') = true; 

    support_map('bl_display_defparam') = true; 

    support_map('bl_display') = true; 

    support_map('it_display_every') = 5; 

    support_map('bl_post') = true; 

    support_map('bl_display_final') = true; 

    support_map('bl_mat') = false; 

    support_map('bl_graph') = true; 

    support_map('bl_graph_onebyones') = false; 

    support_map('bl_img_save') = true; 

    if (ismember(it_subset, [1])) 

        % TEST quick

        param_map('it_w_perc_n') = 20;

        param_map('it_ak_perc_n') = param_map('it_w_perc_n');

        param_map('it_z_n') = 5;

        param_map('fl_coh_interp_grid_gap') = 0.25;

        param_map('it_c_interp_grid_gap') = 0.001;

        param_map('fl_w_interp_grid_gap') = 1;

        param_map('it_maxiter_val') = 50;

        param_map('it_tol_pol_nochange') = 1000;

        support_map('bl_display') = true;

        support_map('it_display_every') = 1;

        support_map('bl_graph') = false;

    end

    if (ismember(it_subset, [4])) 

        support_map('bl_time') = false; 

        support_map('bl_display') = false; 

        support_map('bl_graph_onebyones') = true; 

        support_map('bl_img_save') = false; 

    end 

end 

%% Subset Options for Distribution solutions

%

% # it_subset = 5 is basic invoke quick test

% # it_subset = 6 is invoke full test

% # it_subset = 7 is profiling invoke

% # it_subset = 8 is matlab publish

% # it_subset = 9 is invoke operational (only final stats) and coh graph

%

if (ismember(it_subset, [7])) 

    % Profile run

    support_map('bl_profile_dist') = true;

    support_map('bl_display') = false; % don't print

    support_map('bl_display_dist') = false; % don't print

    support_map('bl_time') = true;

elseif (ismember(it_subset, [5,6,8,9])) 

    % close all

    close all;

    % Main Run

    support_map('bl_time') = true;

    support_map('bl_display_defparam') = true;

    support_map('bl_display') = true;

    support_map('bl_display_dist') = true;

    support_map('it_display_every') = 20;

    support_map('bl_post') = true;

    support_map('bl_display_final_dist') = true;

    support_map('bl_mat') = false;

    support_map('bl_graph') = true;

    support_map('bl_graph_onebyones') = false;

    support_map('bl_img_save') = true;

    % do not generate all graphs when solving for distribution

    support_map('bl_graph_val') = false;

    support_map('bl_graph_pol_lvl') = false;

    support_map('bl_graph_pol_pct') = false;

    support_map('bl_graph_coh_t_coh') = true;

    if (ismember(it_subset, [5]))

        % TEST quick (need to enough to have distribution)

        param_map('it_w_perc_n') = 40;

        param_map('it_ak_perc_n') = param_map('it_w_perc_n');

        param_map('it_z_n') = 5;

        param_map('fl_coh_interp_grid_gap') = 0.25;

        param_map('it_c_interp_grid_gap') = 0.001;

        param_map('fl_w_interp_grid_gap') = 1;

        param_map('it_maxiter_val') = 50;

        param_map('it_tol_pol_nochange') = 1000;

        support_map('bl_display') = true;

        support_map('it_display_every') = 1;

        support_map('bl_display_dist') = true;

        support_map('bl_graph') = false;

    end

    if (ismember(it_subset, [8, 9]))

        support_map('bl_time') = false;

        support_map('bl_display') = false;

        support_map('bl_display_dist') = false;

        support_map('bl_display_final_dist_detail') = true;

        support_map('bl_graph_onebyones') = true;

        support_map('bl_img_save') = false;

        if (ismember(it_subset, [9]))

            % quietly turn off all graphs, only tables

            support_map('bl_display_defparam') = false;

            support_map('bl_display_final_dist_detail') = false;

            support_map('bl_graph_coh_t_coh') = false;

            support_map('bl_graph') = false;

        end

    end

end

%% Display

if (bl_display_defparam) 

    fft_container_map_display(param_map, it_display_summmat_rowmax, it_display_summmat_colmax);

    fft_container_map_display(support_map, it_display_summmat_rowmax, it_display_summmat_colmax);

end

end