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		expr_view {
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			compiled-expr = '
vector(number) cash_flows = [27.2,49.47,67.7,82.63,67.65,55.39,45.35,37.13,30.4,24.89,20.38,16.68,13.66,11.18,9.16,7.5,6.14,5.02,4.11,3.37,2.76,2.26,1.85,1.51,1.24,1.01,0.83,0.68,0.56,0.46,0.37,0.31,0.25,0.2,0.17,0.14,0.11,0.09,0.08,0.06];

disc_func glob_df;
vector(number) t = (index_vector(40)+1)/4; //quarterly
matrix(number) glob_hist_rates;
matrix(number) glob_cov;
matrix(number) glob_corr;
series<date>(vector(number)) glob_r;

vector(number) eig_vals;
vector(number) idx;
matrix(number) eig_vectors;
matrix(number) reduced_eig_vectors;
vector(number) bond_t;
vector(number) bond_flows;
vector(number) all_times;
vector(instrument) g_bond_i;
vector(number) b_ix; //list of bonds used
date g_date;

matrix(number) sortmatrix(matrix(number) mat,vector(number) order){
	number m_rows = n_rows(mat);
	number m_columns = n_cols(mat);
	
	matrix(number) new_mat[m_rows,m_columns];
	
	for(i:0,m_columns-1) {
		for(j:0,m_rows-1) new_mat[j,i] = mat[j,order[i]];
			}
	return new_mat;
}
void get_portfolio_cf(vector(number) weight, vector(instrument) instr, date cut_off_date, out vector(number) amounts, out vector(number) times){

	vector(date) d, d_red;
	vector(number) a, a_red;
	resize(b_ix,0);
	for(i:0, v_size(instr)-1){

		if(weight[i] > 0){
			push_back(b_ix, i);
			push_back(d, instr[i].cash_flow_dates());
			push_back(a, instr[i].cash_flow_amounts() * weight[i]);
		}
	}
	sort(a,d);
	sort(d);
	push_back(d_red, d[0]);
	push_back(a_red, a[0]);
	for(i:1, v_size(d)-1){
			vector(number) idx = v_find(d_red, [d[i]]);
			if(!null(idx) && v_size(idx) > 0){
				a_red[idx[0]] += a[i]; // add to already exisiting date	
			}else{
				push_back(d_red, d[i]);
				push_back(a_red, a[i]);
			}
	}

	amounts = a_red;
	times = (d_red - cut_off_date)/365;

}


out void init_data(curve_name c, curve_name bonds, date to_date, number periods,number freq_days, quote_side q, number pca_dim,  out vector(number) bond_weights, out vector(instrument_name) bond_list, out vector(number) cpn_pct, out vector(date) maturity){

	vector(instrument) bond_i = curve(bonds,to_date, q).instruments(); 
	g_bond_i = bond_i;
	bond_list = bond_i.name();
	cpn_pct = bond_i.coupon()*100;
	maturity = bond_i.maturity();
	if(null(bond_weights) || v_size(bond_weights) != v_size(bond_list))
		bond_weights = one_vector(v_size(bond_list),1);
	
	vector(number) amounts, times;
	get_portfolio_cf(bond_weights,bond_i, to_date, amounts, times);
	bond_t = times;
	bond_flows = amounts;
	

	g_date = to_date;
	all_times = concat(t, bond_t);
	sort(all_times);
	all_times = sub_vector(all_times, v_find_unique(all_times));

	glob_df = bootstrap(curve(c,to_date,q), ip_linear());

	glob_r = series(k:to_date-freq_days*periods, to_date, freq_days; bootstrap(curve(c,calendar(\"SWEDEN\").move_bus_days(k,-1),q), ip_linear()).zero_rate_spot(all_times, RT_CONT));
	series<date>(vector(number)) r_diff = change(glob_r);
	glob_hist_rates = s2v(r_diff);
	glob_cov = covariance(r_diff);
	glob_corr = correlation(r_diff);
	jacobi(glob_cov, eig_vals, eig_vectors);
	number n_vals = v_size(eig_vals);
	vector(number) idx = index_vector(n_vals);
	sort(idx,eig_vals);
	sort(eig_vals);
	reverse(idx);
	reverse(eig_vals);
	eig_vectors = sortmatrix(eig_vectors,idx);

	reduced_eig_vectors = sub_matrix(eig_vectors, 0,0, n_vals, pca_dim);
	//trick to update graph dynamically as g_dates, g_values are global variables
	local_publish(\"local\", \"update\", [\"status\"], [\"true\"]);
}

out matrix(number) show_eig_vecs(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return reduced_eig_vectors;
}

out vector(number) show_eig_vals(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return eig_vals;
}

out matrix(number) show_corr(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_corr;
}

out matrix(number) show_cov(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_cov;
}

out void show_debtstuff(out vector(number) Pr_debt, out vector(number) gradPr_debt)
{
	realtime_str(\"update\", \"status\", \"local\", true);
	Pr_debt = [glob_df.disc(t)*cash_flows];
	gradPr_debt = -t.*(glob_df.disc(t).*cash_flows);
//	Pr_bonds = [glob_df.disc(bond_t)*bond_flows]; 
//	gradPr_bonds = -bond_t.*(glob_df.disc(bond_t).*bond_flows);
}

out void show_bondstuff(number bond_nr, out string b_name, out vector(number) Pr_bond, out vector(number) gradPr_bond, out vector(number) b_times, out vector(number) b_flows)
{
	realtime_str(\"update\", \"status\", \"local\", true);

	if(bond_nr >= v_size(g_bond_i))
		return;
	b_name = g_bond_i[bond_nr].name();
	vector(number) myt = (g_bond_i[bond_nr].cash_flow_dates() - g_date)/365;
	vector(number) amts = g_bond_i[bond_nr].cash_flow_amounts(); 
	Pr_bond = [glob_df.disc(myt)*amts]; 
	gradPr_bond = -myt.*(glob_df.disc(myt).*amts);
	
	b_times = myt;
	b_flows = amts;
}


out series<date>(vector(number)) show_rates() 
{
 	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_r*100;
}

out void show_debt_flows(out vector(number) debt_times, out vector(number) debt_flows, out vector(number) a_times)
{
	realtime_str(\"update\", \"status\", \"local\", true);
	debt_times = clone_vector(t);
	debt_flows = clone_vector(cash_flows); 
	//b_times = clone_vector(bond_t);
	//b_flows = clone_vector(bond_flows);
}

out vector(number) show_all_times() {
	realtime_str(\"update\", \"status\", \"local\", true);
	return all_times;
}

out void show_bond_flows_and_rates(out vector(number) time, out vector(number) bond_pay, out vector(number) yld_pct)
{
	realtime_str(\"update\", \"status\", \"local\", true);

	time = concat(t, bond_t);
	bond_pay = concat(one_vector(v_size(t), 0),bond_flows);

	sort(bond_pay, time);
	sort(time);
	yld_pct = glob_df.zero_rate_spot(time, RT_CONT)*100;

}

matrix(number) gradPb(out vector(number) P)
{
	matrix(number) tmp;
	resize(P, 0);
	for(i:0, v_size(b_ix)-1){
		vector(number) local_cash = one_vector(v_size(all_times),0);
		vector(number) myt = (g_bond_i[b_ix[i]].cash_flow_dates() - g_date)/365;
		vector(number) amts = g_bond_i[b_ix[i]].cash_flow_amounts();

			for(k:0, v_size(myt)-1){ // check each cashflow

				vector(number) found = v_find(all_times, [myt[k]]);
				if(!null(found)){
					local_cash[found[0]]=amts[k];
				}

			}
		push_back(P,local_cash*glob_df.disc(all_times)); //price of bond
		local_cash = -all_times.*local_cash.*glob_df.disc(all_times);
		tmp = m_concat_hz(tmp,transpose([local_cash]));

	}

	return tmp;

}

vector(number) gradP(out number s){
	vector(number) local_cash = one_vector(v_size(all_times),0);
	
	for(k:0, v_size(t)-1){ // check each cashflow
		
		vector(number) found = v_find(all_times, [t[k]]);
		if(!null(found)){
			local_cash[found[0]]=cash_flows[k];
		}
	}
	s = local_cash*glob_df.disc(all_times);
	local_cash = -all_times.*local_cash.*glob_df.disc(all_times);

	return local_cash;
}

out vector(number) get_optimal_weights()
{
	
	realtime_str(\"update\", \"status\", \"local\", true);
	vector(number) P;
	matrix(number) A = transpose(reduced_eig_vectors)*gradPb(P);
	A = m_concat_vt([P], A);
	number s; 
	vector(number) b = gradP(s);
	b = concat([s],b*reduced_eig_vectors);
	vector(number) weights;
	vector(number) h;
	if(n_cols(A) < n_cols(reduced_eig_vectors)+1)
		throw(E_INVALID_ARG,\"Number of bonds must be greater than or equal to eigenvectors plus one\");
	else if(n_cols(A) == n_cols(reduced_eig_vectors)+1)
		weights = gauss_jordan(A,b);
	else{


		vector(number) c = concat(one_vector(2*n_cols(A),0),[1]);
		vector(number) b_eq = clone_vector(b);
		for (number t = 0;t < v_size(b_eq); t = t+1){
		
				if (b_eq[t] < 0){
					b_eq[t] = abs(b_eq[t]);
					replace_row(A, m_row2v(A,t)*(-1),t);
				}
				else{
				
				}
		}	
		matrix(number) preA_eq = m_concat_hz(A,(-1)*A);
		matrix(number) A_eq = m_concat_hz(preA_eq, v2col(one_vector(n_rows(A),0)));
		matrix(number) preA_leq_1 = m_concat_hz(identity_matrix(n_cols(A)), (-1)*identity_matrix(n_cols(A)));
		matrix(number) preA_leq_2 = m_concat_hz((-1)*identity_matrix(n_cols(A)), identity_matrix(n_cols(A)));
		matrix(number) A_le_1 = m_concat_hz(preA_leq_1, v2col(one_vector(n_cols(A),-1))); 
		matrix(number) A_le_2 = m_concat_hz(preA_leq_2, v2col(one_vector(n_cols(A),-1)));
		matrix(number) A_le = m_concat_vt(A_le_1, A_le_2);
		vector(number) b_le = one_vector(2*n_cols(A),0);

		//h = simplex(-c, null<matrix(number)>,null<vector(number)>,-A_le,-b_le,A_eq,b_eq);		weights = one_vector((v_size(h)-1)/2,0);
		h = clp.simplexclp(-c, null<matrix(number)>,null<vector(number)>,-A_le,-b_le,A_eq,b_eq);		weights = one_vector((v_size(h)-1)/2,0);
		for (number t = 0; t < (v_size(h)-1)/2; t = t+1){	
 				
			weights[t] = h[t] - h[t+(v_size(h)-1)/2];
		
		}

	}
	return weights;
}
'
			expr = '
vector(number) cash_flows = [27.2,49.47,67.7,82.63,67.65,55.39,45.35,37.13,30.4,24.89,20.38,16.68,13.66,11.18,9.16,7.5,6.14,5.02,4.11,3.37,2.76,2.26,1.85,1.51,1.24,1.01,0.83,0.68,0.56,0.46,0.37,0.31,0.25,0.2,0.17,0.14,0.11,0.09,0.08,0.06];

disc_func glob_df;
vector(number) t = (index_vector(40)+1)/4; //quarterly
matrix(number) glob_hist_rates;
matrix(number) glob_cov;
matrix(number) glob_corr;
series<date>(vector(number)) glob_r;

vector(number) eig_vals;
vector(number) idx;
matrix(number) eig_vectors;
matrix(number) reduced_eig_vectors;
vector(number) bond_t;
vector(number) bond_flows;
vector(number) all_times;
vector(instrument) g_bond_i;
vector(number) b_ix; //list of bonds used
date g_date;

matrix(number) sortmatrix(matrix(number) mat,vector(number) order){
	number m_rows = n_rows(mat);
	number m_columns = n_cols(mat);
	
	matrix(number) new_mat[m_rows,m_columns];
	
	for(i:0,m_columns-1) {
		for(j:0,m_rows-1) new_mat[j,i] = mat[j,order[i]];
			}
	return new_mat;
}
void get_portfolio_cf(vector(number) weight, vector(instrument) instr, date cut_off_date, out vector(number) amounts, out vector(number) times){

	vector(date) d, d_red;
	vector(number) a, a_red;
	resize(b_ix,0);
	for(i:0, v_size(instr)-1){

		if(weight[i] > 0){
			push_back(b_ix, i);
			push_back(d, instr[i].cash_flow_dates());
			push_back(a, instr[i].cash_flow_amounts() * weight[i]);
		}
	}
	sort(a,d);
	sort(d);
	push_back(d_red, d[0]);
	push_back(a_red, a[0]);
	for(i:1, v_size(d)-1){
			vector(number) idx = v_find(d_red, [d[i]]);
			if(!null(idx) && v_size(idx) > 0){
				a_red[idx[0]] += a[i]; // add to already exisiting date	
			}else{
				push_back(d_red, d[i]);
				push_back(a_red, a[i]);
			}
	}

	amounts = a_red;
	times = (d_red - cut_off_date)/365;

}


out void init_data(curve_name c, curve_name bonds, date to_date, number periods,number freq_days, quote_side q, number pca_dim,  out vector(number) bond_weights, out vector(instrument_name) bond_list, out vector(number) cpn_pct, out vector(date) maturity){

	vector(instrument) bond_i = curve(bonds,to_date, q).instruments(); 
	g_bond_i = bond_i;
	bond_list = bond_i.name();
	cpn_pct = bond_i.coupon()*100;
	maturity = bond_i.maturity();
	if(null(bond_weights) || v_size(bond_weights) != v_size(bond_list))
		bond_weights = one_vector(v_size(bond_list),1);
	
	vector(number) amounts, times;
	get_portfolio_cf(bond_weights,bond_i, to_date, amounts, times);
	bond_t = times;
	bond_flows = amounts;
	

	g_date = to_date;
	all_times = concat(t, bond_t);
	sort(all_times);
	all_times = sub_vector(all_times, v_find_unique(all_times));

	glob_df = bootstrap(curve(c,to_date,q), ip_linear());

	glob_r = series(k:to_date-freq_days*periods, to_date, freq_days; bootstrap(curve(c,calendar(\"SWEDEN\").move_bus_days(k,-1),q), ip_linear()).zero_rate_spot(all_times, RT_CONT));
	series<date>(vector(number)) r_diff = change(glob_r);
	glob_hist_rates = s2v(r_diff);
	glob_cov = covariance(r_diff);
	glob_corr = correlation(r_diff);
	jacobi(glob_cov, eig_vals, eig_vectors);
	number n_vals = v_size(eig_vals);
	vector(number) idx = index_vector(n_vals);
	sort(idx,eig_vals);
	sort(eig_vals);
	reverse(idx);
	reverse(eig_vals);
	eig_vectors = sortmatrix(eig_vectors,idx);

	reduced_eig_vectors = sub_matrix(eig_vectors, 0,0, n_vals, pca_dim);
	//trick to update graph dynamically as g_dates, g_values are global variables
	local_publish(\"local\", \"update\", [\"status\"], [\"true\"]);
}

out matrix(number) show_eig_vecs(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return reduced_eig_vectors;
}

out vector(number) show_eig_vals(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return eig_vals;
}

out matrix(number) show_corr(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_corr;
}

out matrix(number) show_cov(){
	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_cov;
}

out void show_debtstuff(out vector(number) Pr_debt, out vector(number) gradPr_debt)
{
	realtime_str(\"update\", \"status\", \"local\", true);
	Pr_debt = [glob_df.disc(t)*cash_flows];
	gradPr_debt = -t.*(glob_df.disc(t).*cash_flows);
//	Pr_bonds = [glob_df.disc(bond_t)*bond_flows]; 
//	gradPr_bonds = -bond_t.*(glob_df.disc(bond_t).*bond_flows);
}

out void show_bondstuff(number bond_nr, out string b_name, out vector(number) Pr_bond, out vector(number) gradPr_bond, out vector(number) b_times, out vector(number) b_flows)
{
	realtime_str(\"update\", \"status\", \"local\", true);

	if(bond_nr >= v_size(g_bond_i))
		return;
	b_name = g_bond_i[bond_nr].name();
	vector(number) myt = (g_bond_i[bond_nr].cash_flow_dates() - g_date)/365;
	vector(number) amts = g_bond_i[bond_nr].cash_flow_amounts(); 
	Pr_bond = [glob_df.disc(myt)*amts]; 
	gradPr_bond = -myt.*(glob_df.disc(myt).*amts);
	
	b_times = myt;
	b_flows = amts;
}


out series<date>(vector(number)) show_rates() 
{
 	realtime_str(\"update\", \"status\", \"local\", true);
	return glob_r*100;
}

out void show_debt_flows(out vector(number) debt_times, out vector(number) debt_flows, out vector(number) a_times)
{
	realtime_str(\"update\", \"status\", \"local\", true);
	debt_times = clone_vector(t);
	debt_flows = clone_vector(cash_flows); 
	//b_times = clone_vector(bond_t);
	//b_flows = clone_vector(bond_flows);
}

out vector(number) show_all_times() {
	realtime_str(\"update\", \"status\", \"local\", true);
	return all_times;
}

out void show_bond_flows_and_rates(out vector(number) time, out vector(number) bond_pay, out vector(number) yld_pct)
{
	realtime_str(\"update\", \"status\", \"local\", true);

	time = concat(t, bond_t);
	bond_pay = concat(one_vector(v_size(t), 0),bond_flows);

	sort(bond_pay, time);
	sort(time);
	yld_pct = glob_df.zero_rate_spot(time, RT_CONT)*100;

}

matrix(number) gradPb(out vector(number) P)
{
	matrix(number) tmp;
	resize(P, 0);
	for(i:0, v_size(b_ix)-1){
		vector(number) local_cash = one_vector(v_size(all_times),0);
		vector(number) myt = (g_bond_i[b_ix[i]].cash_flow_dates() - g_date)/365;
		vector(number) amts = g_bond_i[b_ix[i]].cash_flow_amounts();

			for(k:0, v_size(myt)-1){ // check each cashflow

				vector(number) found = v_find(all_times, [myt[k]]);
				if(!null(found)){
					local_cash[found[0]]=amts[k];
				}

			}
		push_back(P,local_cash*glob_df.disc(all_times)); //price of bond
		local_cash = -all_times.*local_cash.*glob_df.disc(all_times);
		tmp = m_concat_hz(tmp,transpose([local_cash]));

	}

	return tmp;

}

vector(number) gradP(out number s){
	vector(number) local_cash = one_vector(v_size(all_times),0);
	
	for(k:0, v_size(t)-1){ // check each cashflow
		
		vector(number) found = v_find(all_times, [t[k]]);
		if(!null(found)){
			local_cash[found[0]]=cash_flows[k];
		}
	}
	s = local_cash*glob_df.disc(all_times);
	local_cash = -all_times.*local_cash.*glob_df.disc(all_times);

	return local_cash;
}

out vector(number) get_optimal_weights()
{
	
	realtime_str(\"update\", \"status\", \"local\", true);
	vector(number) P;
	matrix(number) A = transpose(reduced_eig_vectors)*gradPb(P);
	A = m_concat_vt([P], A);
	number s; 
	vector(number) b = gradP(s);
	b = concat([s],b*reduced_eig_vectors);
	vector(number) weights;
	vector(number) h;
	if(n_cols(A) < n_cols(reduced_eig_vectors)+1)
		throw(E_INVALID_ARG,\"Number of bonds must be greater than or equal to eigenvectors plus one\");
	else if(n_cols(A) == n_cols(reduced_eig_vectors)+1)
		weights = gauss_jordan(A,b);
	else{


		vector(number) c = concat(one_vector(2*n_cols(A),0),[1]);
		vector(number) b_eq = clone_vector(b);
		for (number t = 0;t < v_size(b_eq); t = t+1){
		
				if (b_eq[t] < 0){
					b_eq[t] = abs(b_eq[t]);
					replace_row(A, m_row2v(A,t)*(-1),t);
				}
				else{
				
				}
		}	
		matrix(number) preA_eq = m_concat_hz(A,(-1)*A);
		matrix(number) A_eq = m_concat_hz(preA_eq, v2col(one_vector(n_rows(A),0)));
		matrix(number) preA_leq_1 = m_concat_hz(identity_matrix(n_cols(A)), (-1)*identity_matrix(n_cols(A)));
		matrix(number) preA_leq_2 = m_concat_hz((-1)*identity_matrix(n_cols(A)), identity_matrix(n_cols(A)));
		matrix(number) A_le_1 = m_concat_hz(preA_leq_1, v2col(one_vector(n_cols(A),-1))); 
		matrix(number) A_le_2 = m_concat_hz(preA_leq_2, v2col(one_vector(n_cols(A),-1)));
		matrix(number) A_le = m_concat_vt(A_le_1, A_le_2);
		vector(number) b_le = one_vector(2*n_cols(A),0);

		//h = simplex(-c, null<matrix(number)>,null<vector(number)>,-A_le,-b_le,A_eq,b_eq);		weights = one_vector((v_size(h)-1)/2,0);
		h = clp.simplexclp(-c, null<matrix(number)>,null<vector(number)>,-A_le,-b_le,A_eq,b_eq);		weights = one_vector((v_size(h)-1)/2,0);
		for (number t = 0; t < (v_size(h)-1)/2; t = t+1){	
 				
			weights[t] = h[t] - h[t+(v_size(h)-1)/2];
		
		}

	}
	return weights;
}
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				label = 'get_optimal_weights'
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					in_param-3 = '2.5000000000000000e+001'
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						column = '2'
						format-align = '-1'
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						format-font-width = '0'
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						format-multiply = '1.0000000000000000e+000'
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				}
			}
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				label = 'show_all_times'
			}
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				label = 'show_bond_flows_and_rates'
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						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'Pr_bond'
						n-rows = '1'
						order = '-3'
						orig-head = 'show_bondstuff - 7'
						type = '1'
					}
					column {
						column = '25'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'gradPr_bond'
						n-rows = '23'
						order = '-4'
						orig-head = 'show_bondstuff - 7'
						type = '1'
					}
					column {
						column = '26'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'b_times'
						n-rows = '23'
						order = '-5'
						orig-head = 'show_bondstuff - 7'
						type = '1'
					}
					column {
						column = '27'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'b_flows'
						n-rows = '23'
						order = '-6'
						orig-head = 'show_bondstuff - 7'
						type = '1'
					}
				}
			}
			expr {
				label = 'show_corr'
				link {
					a-id = '4'
					def-h-margin = '4'
					def-v-margin = '2'
					lock-resize = 'false'
					own-recalc = 'false'
					removeable = 'true'
					smooth-scroll = 'false'
					view = '32'
					column {
						column = '0'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_corr - 1'
						n-rows = '1'
						order = '0'
						orig-head = 'show_corr - 1'
						type = '0'
					}
				}
			}
			expr {
				label = 'show_cov'
			}
			expr {
				label = 'show_debt_flows'
			}
			expr {
				label = 'show_debtstuff'
				link {
					a-id = '16'
					def-h-margin = '4'
					def-v-margin = '2'
					lock-resize = 'false'
					own-recalc = 'false'
					removeable = 'true'
					smooth-scroll = 'false'
					view = '37'
					prop {
						arg-pos = '0'
						column = '0'
						merged = 'false'
						param-id = '0'
						vec-param = 'true'
					}
					prop {
						arg-pos = '1'
						column = '1'
						merged = 'false'
						param-id = '1'
						vec-param = 'true'
					}
					column {
						column = '0'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'Pr_debt'
						n-rows = '1'
						order = '-1'
						orig-head = 'show_debtstuff - 1'
						type = '1'
					}
					column {
						column = '1'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'gradPr_debt'
						n-rows = '40'
						order = '-2'
						orig-head = 'show_debtstuff - 1'
						type = '1'
					}
				}
			}
			expr {
				label = 'show_eig_vals'
				link {
					a-id = '7'
					def-h-margin = '4'
					def-v-margin = '2'
					lock-resize = 'false'
					own-recalc = 'false'
					removeable = 'true'
					smooth-scroll = 'false'
					view = '46'
					column {
						column = '0'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '9'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_eig_vals - 1'
						n-rows = '43'
						order = '0'
						orig-head = 'show_eig_vals - 1'
						type = '0'
					}
				}
			}
			expr {
				label = 'show_eig_vecs'
				link {
					a-id = '3'
					def-h-margin = '4'
					def-v-margin = '2'
					lock-resize = 'false'
					own-recalc = 'false'
					removeable = 'true'
					smooth-scroll = 'false'
					view = '30'
					column {
						column = '0'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
						format-font-clip-precision = '0'
						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_eig_vecs - 1'
						n-rows = '59'
						order = '0'
						orig-head = 'show_eig_vecs - 1'
						type = '2'
					}
					column {
						column = '1'
						format-align = '-1'
						format-bg-col = '16777215'
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						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
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						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
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						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_eig_vecs - 1'
						n-rows = '59'
						order = '1'
						orig-head = 'show_eig_vecs - 1'
						type = '0'
					}
				}
			}
			expr {
				label = 'show_rates'
				link {
					a-id = '5'
					def-h-margin = '4'
					def-v-margin = '2'
					lock-resize = 'false'
					own-recalc = 'false'
					removeable = 'true'
					smooth-scroll = 'false'
					view = '34'
					column {
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						format-align = '-1'
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						format-font-char-set = '0'
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						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
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						format-font-italic = '0'
						format-font-orientation = '0'
						format-font-out-precision = '0'
						format-font-pitch-and-family = '0'
						format-font-quality = '0'
						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
						format-font-width = '0'
						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_rates - 1'
						n-rows = '18'
						order = '0'
						orig-head = 'show_rates - 1'
						type = '2'
					}
					column {
						column = '1'
						format-align = '-1'
						format-bg-col = '16777215'
						format-border = '3'
						format-decimals = '2'
						format-fg-col = '0'
						format-font-char-set = '0'
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						format-font-escapement = '0'
						format-font-face-name = 'Microsoft Sans Serif'
						format-font-height = '-11'
						format-font-italic = '0'
						format-font-orientation = '0'
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						format-font-pitch-and-family = '0'
						format-font-quality = '0'
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						format-font-weight = '400'
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						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_rates - 1'
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						order = '1'
						orig-head = 'show_rates - 1'
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					}
					column {
						column = '2'
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-font-orientation = '0'
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						format-font-pitch-and-family = '0'
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						format-font-strike-out = '0'
						format-font-underline = '0'
						format-font-weight = '400'
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						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
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						n-rows = '18'
						order = '2'
						orig-head = 'show_rates - 1'
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					}
					column {
						column = '3'
						format-align = '-1'
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-font-pitch-and-family = '0'
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						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
						header = 'show_rates - 1'
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						orig-head = 'show_rates - 1'
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					}
					column {
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
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						orig-head = 'show_rates - 1'
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					column {
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-multiply = '1.0000000000000000e+000'
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						orig-head = 'show_rates - 1'
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					column {
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						format-is-exp = 'false'
						format-is-percent = 'false'
						format-multiply = '1.0000000000000000e+000'
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						n-rows = '18'
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						orig-head = 'show_rates - 1'
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					}
					column {
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-font-pitch-and-family = '0'
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						format-font-weight = '400'
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						format-multiply = '1.0000000000000000e+000'
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					}
					column {
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						format-align = '-1'
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						format-font-face-name = 'Microsoft Sans Serif'
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						format-multiply = '1.0000000000000000e+000'
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						orig-head = 'show_rates - 1'
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					column {
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			func_name = 'init_data - 1'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10031'
			param_name = 'freq_days'
			param_pos = '4'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '90'
			visible = 'true'
		}
		param {
			a_id = '8'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '9'
			func_name = 'init_data - 1'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10032'
			param_name = 'q'
			param_pos = '5'
			table = 'false'
			tooltip = ''
			type = '8'
			value = 'Mid_db'
			visible = 'true'
		}
		param {
			a_id = '8'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '9'
			func_name = 'init_data - 1'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10033'
			param_name = 'pca_dim'
			param_pos = '6'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '1'
			visible = 'true'
		}
		param {
			a_id = '9'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '11'
			func_name = 'show_bondstuff - 1'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10034'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '0'
			visible = 'true'
		}
		param {
			a_id = '9'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '11'
			func_name = 'show_bondstuff - 1'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10035'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1052'
			visible = 'true'
		}
		param {
			a_id = '10'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '12'
			func_name = 'show_bondstuff - 2'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10036'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '1'
			visible = 'true'
		}
		param {
			a_id = '10'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '12'
			func_name = 'show_bondstuff - 2'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10037'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1047'
			visible = 'true'
		}
		param {
			a_id = '11'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '13'
			func_name = 'show_bondstuff - 3'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10038'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '2'
			visible = 'true'
		}
		param {
			a_id = '11'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '13'
			func_name = 'show_bondstuff - 3'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10039'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1054'
			visible = 'true'
		}
		param {
			a_id = '12'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '14'
			func_name = 'show_bondstuff - 4'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10040'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '3'
			visible = 'true'
		}
		param {
			a_id = '12'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '14'
			func_name = 'show_bondstuff - 4'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10041'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1057'
			visible = 'true'
		}
		param {
			a_id = '13'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '15'
			func_name = 'show_bondstuff - 5'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10042'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '4'
			visible = 'true'
		}
		param {
			a_id = '13'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '15'
			func_name = 'show_bondstuff - 5'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10043'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1058'
			visible = 'true'
		}
		param {
			a_id = '14'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '16'
			func_name = 'show_bondstuff - 6'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10044'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '5'
			visible = 'true'
		}
		param {
			a_id = '14'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '16'
			func_name = 'show_bondstuff - 6'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10045'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1056'
			visible = 'true'
		}
		param {
			a_id = '15'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '17'
			func_name = 'show_bondstuff - 7'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10046'
			param_name = 'bond_nr'
			param_pos = '0'
			table = 'false'
			tooltip = ''
			type = '1'
			value = '6'
			visible = 'true'
		}
		param {
			a_id = '15'
			convertable = 'false'
			curve_type-n = '0'
			func_id = '17'
			func_name = 'show_bondstuff - 7'
			imm_recalc = 'false'
			merged_param_id = '-1'
			merged_param_name = ''
			param_id = '10047'
			param_name = 'b_name'
			param_pos = '1'
			table = 'false'
			tooltip = ''
			type = '0'
			value = 'SGB1053'
			visible = 'true'
		}
	}
}