netcdf test-nsided {
dimensions:
	len_name = 256 ;
	time_step = UNLIMITED ; // (10 currently)
	num_dim = 3 ;
	num_nodes = 33 ;
	num_elem = 7 ;
	num_el_blk = 1 ;
	num_node_sets = 2 ;
	num_side_sets = 5 ;
	num_att_in_nblk = 2 ;
	num_el_in_blk1 = 7 ;
	num_nod_per_el1 = 37 ;
	num_nod_ns1 = 5 ;
	num_nod_ns2 = 3 ;
	num_att_in_ns1 = 1 ;
	num_side_ss1 = 2 ;
	num_df_ss1 = 4 ;
	num_side_ss2 = 2 ;
	num_df_ss2 = 4 ;
	num_side_ss3 = 7 ;
	num_side_ss4 = 8 ;
	num_side_ss5 = 10 ;
	num_qa_rec = 2 ;
	four = 4 ;
	len_string = 33 ;
	num_info = 3 ;
	len_line = 81 ;
	num_glo_var = 1 ;
	num_nod_var = 2 ;
	num_elem_var = 3 ;
	num_nset_var = 3 ;
	num_sset_var = 3 ;
variables:
	float time_whole(time_step) ;
	int eb_status(num_el_blk) ;
	int eb_prop1(num_el_blk) ;
		eb_prop1:name = "ID" ;
	int ns_status(num_node_sets) ;
	int ns_prop1(num_node_sets) ;
		ns_prop1:name = "ID" ;
	int ss_status(num_side_sets) ;
	int ss_prop1(num_side_sets) ;
		ss_prop1:name = "ID" ;
	float coordx(num_nodes) ;
	float coordy(num_nodes) ;
	float coordz(num_nodes) ;
	char eb_names(num_el_blk, len_name) ;
	char ns_names(num_node_sets, len_name) ;
	char ss_names(num_side_sets, len_name) ;
	char coor_names(num_dim, len_name) ;
	float nattrb(num_nodes, num_att_in_nblk) ;
	char nattrib_name(num_att_in_nblk, len_name) ;
	int elem_num_map(num_elem) ;
	int connect1(num_nod_per_el1) ;
		connect1:elem_type = "nsided" ;
	int ebepecnt1(num_el_in_blk1) ;
		ebepecnt1:entity_type1 = "NODE" ;
		ebepecnt1:entity_type2 = "ELEM" ;
	int node_ns1(num_nod_ns1) ;
	float dist_fact_ns1(num_nod_ns1) ;
	int node_ns2(num_nod_ns2) ;
	float dist_fact_ns2(num_nod_ns2) ;
	int ns_prop2(num_node_sets) ;
		ns_prop2:name = "FACE" ;
	int ns_prop3(num_node_sets) ;
		ns_prop3:name = "VELOCITY" ;
	float nsattrb1(num_nod_ns1, num_att_in_ns1) ;
	char nsattrib_name1(num_att_in_ns1, len_name) ;
	int elem_ss1(num_side_ss1) ;
	int side_ss1(num_side_ss1) ;
	float dist_fact_ss1(num_df_ss1) ;
	int elem_ss2(num_side_ss2) ;
	int side_ss2(num_side_ss2) ;
	float dist_fact_ss2(num_df_ss2) ;
	int elem_ss3(num_side_ss3) ;
	int side_ss3(num_side_ss3) ;
	int elem_ss4(num_side_ss4) ;
	int side_ss4(num_side_ss4) ;
	int elem_ss5(num_side_ss5) ;
	int side_ss5(num_side_ss5) ;
	int ss_prop2(num_side_sets) ;
		ss_prop2:name = "COLOR" ;
	char qa_records(num_qa_rec, four, len_string) ;
	char info_records(num_info, len_line) ;
	char name_glo_var(num_glo_var, len_name) ;
	float vals_glo_var(time_step, num_glo_var) ;
	char name_nod_var(num_nod_var, len_name) ;
	float vals_nod_var1(time_step, num_nodes) ;
	float vals_nod_var2(time_step, num_nodes) ;
	char name_elem_var(num_elem_var, len_name) ;
	char name_nset_var(num_nset_var, len_name) ;
	char name_sset_var(num_sset_var, len_name) ;
	float vals_elem_var1eb1(time_step, num_el_in_blk1) ;
	float vals_elem_var2eb1(time_step, num_el_in_blk1) ;
	float vals_elem_var3eb1(time_step, num_el_in_blk1) ;
	int elem_var_tab(num_el_blk, num_elem_var) ;
	float vals_sset_var1ss1(time_step, num_side_ss1) ;
	float vals_sset_var1ss2(time_step, num_side_ss2) ;
	float vals_sset_var1ss3(time_step, num_side_ss3) ;
	float vals_sset_var1ss4(time_step, num_side_ss4) ;
	float vals_sset_var1ss5(time_step, num_side_ss5) ;
	float vals_sset_var2ss1(time_step, num_side_ss1) ;
	float vals_sset_var2ss2(time_step, num_side_ss2) ;
	float vals_sset_var2ss3(time_step, num_side_ss3) ;
	float vals_sset_var2ss4(time_step, num_side_ss4) ;
	float vals_sset_var2ss5(time_step, num_side_ss5) ;
	float vals_sset_var3ss1(time_step, num_side_ss1) ;
	float vals_sset_var3ss2(time_step, num_side_ss2) ;
	float vals_sset_var3ss3(time_step, num_side_ss3) ;
	float vals_sset_var3ss4(time_step, num_side_ss4) ;
	float vals_sset_var3ss5(time_step, num_side_ss5) ;
	float vals_nset_var1ns1(time_step, num_nod_ns1) ;
	float vals_nset_var1ns2(time_step, num_nod_ns2) ;
	float vals_nset_var2ns1(time_step, num_nod_ns1) ;
	float vals_nset_var2ns2(time_step, num_nod_ns2) ;
	float vals_nset_var3ns1(time_step, num_nod_ns1) ;
	float vals_nset_var3ns2(time_step, num_nod_ns2) ;

// global attributes:
		:file_size = 1 ;
		:maximum_name_length = 32 ;
		:title = "This is a test" ;
data:

 time_whole = 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 ;

 eb_status = 1 ;

 eb_prop1 = 10 ;

 ns_status = 1, 1 ;

 ns_prop1 = 20, 21 ;

 ss_status = 1, 1, 1, 1, 1 ;

 ss_prop1 = 30, 31, 32, 33, 34 ;

 coordx = 0, 1, 1, 0, 1, 2, 2, 1, 0, 10, 10, 1, 1, 10, 10, 1, 0, 1, 10, 7, 3,
    6, 0, 3, 6, 0, 2.7, 6, 5.7, 3.7, 0, 10, 10 ;

 coordy = 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 10, 10, 10, 10, 0, 0, 0, 5, 0,
    0, 0, 2, 2, 2, 1.7, 1.7, 1.7, 0, 0, 0, 10 ;

 coordz = 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, -10, 0, 0, -10, -10, 0, 5, 2, 3,
    6, 0, 0, 6, 2, 0, 2.7, 3.3, 1.7, 2.3, 0, 0, 10 ;

 eb_names =
  "nsided_1" ;

 ns_names =
  "nset_1",
  "nset_2" ;

 ss_names =
  "sset_1",
  "sset_2",
  "sset_3",
  "sset_4",
  "sset_5" ;

 coor_names =
  "xcoor",
  "ycoor",
  "zcoor" ;

 nattrb =
  0, 0,
  1, 0,
  1, 1,
  0, 1,
  1, 0,
  2, 0,
  2, 1,
  1, 1,
  0, 0,
  10, 0,
  10, 0,
  1, 0,
  1, 10,
  10, 10,
  10, 10,
  1, 10,
  0, 0,
  1, 0,
  10, 0,
  7, 5,
  3, 0,
  6, 0,
  0, 0,
  3, 2,
  6, 2,
  0, 2,
  2.7, 1.7,
  6, 1.7,
  5.7, 1.7,
  3.7, 0,
  0, 0,
  10, 0,
  10, 10 ;

 nattrib_name =
  "Node_attr_1",
  "Node_attr_2" ;

 elem_num_map = 1, 2, 3, 4, 5, 6, 7 ;

 connect1 = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
    19, 20, 21, 22, 23, 24, 25, 26, 17, 18, 19, 20, 27, 28, 30, 29, 31, 32, 33 ;

 ebepecnt1 = 4, 4, 8, 4, 6, 8, 3 ;

 node_ns1 = 10, 11, 12, 13, 14 ;

 dist_fact_ns1 = 1, 2, 3, 4, 5 ;

 node_ns2 = 20, 21, 22 ;

 dist_fact_ns2 = 1.1, 2.1, 3.1 ;

 ns_prop2 = 4, 5 ;

 ns_prop3 = 1000, 2000 ;

 nsattrb1 =
  0,
  1,
  1,
  0,
  1 ;

 nsattrib_name1 =
  "Nodeset_attribute" ;

 elem_ss1 = 2, 2 ;

 side_ss1 = 4, 2 ;

 dist_fact_ss1 = 30, 30.1, 30.2, 30.3 ;

 elem_ss2 = 1, 2 ;

 side_ss2 = 2, 3 ;

 dist_fact_ss2 = 31, 31.1, 31.2, 31.3 ;

 elem_ss3 = 3, 3, 3, 3, 3, 3, 3 ;

 side_ss3 = 5, 3, 3, 2, 4, 1, 6 ;

 elem_ss4 = 4, 4, 4, 4, 6, 6, 6, 6 ;

 side_ss4 = 1, 2, 3, 4, 1, 2, 3, 4 ;

 elem_ss5 = 5, 5, 5, 5, 5, 7, 7, 7, 7, 7 ;

 side_ss5 = 1, 2, 3, 4, 5, 1, 2, 3, 4, 5 ;

 ss_prop2 = 100, 101, _, _, _ ;

 qa_records =
  "TESTWT",
  "testwt",
  "07/07/93",
  "15:41:33",
  "",
  "                            ",
  "",
  "                        " ;

 info_records =
  "This is the first information record.",
  "",
  "                                     " ;

 name_glo_var =
  "glo_vars" ;

 vals_glo_var =
  0.02,
  0.04,
  0.06,
  0.08,
  0.1,
  0.12,
  0.14,
  0.16,
  0.18,
  0.2 ;

 name_nod_var =
  "node_variable_a_very_long_name_0",
  "nod_var1" ;

 vals_nod_var1 =
  1.01, 1.02, 1.03, 1.04, 1.05, 1.06, 1.07, 1.08, 1.09, 1.1, 1.11, 1.12,
    1.13, 1.14, 1.15, 1.16, 1.17, 1.18, 1.19, 1.2, 1.21, 1.22, 1.23, 1.24,
    1.25, 1.26, 1.27, 1.28, 1.29, 1.3, 1.31, 1.32, 1.33,
  1.02, 1.04, 1.06, 1.08, 1.1, 1.12, 1.14, 1.16, 1.18, 1.2, 1.22, 1.24, 1.26,
    1.28, 1.3, 1.32, 1.34, 1.36, 1.38, 1.4, 1.42, 1.44, 1.46, 1.48, 1.5,
    1.52, 1.54, 1.56, 1.58, 1.6, 1.62, 1.64, 1.66,
  1.03, 1.06, 1.09, 1.12, 1.15, 1.18, 1.21, 1.24, 1.27, 1.3, 1.33, 1.36,
    1.39, 1.42, 1.45, 1.48, 1.51, 1.54, 1.57, 1.6, 1.63, 1.66, 1.69, 1.72,
    1.75, 1.78, 1.81, 1.84, 1.87, 1.9, 1.93, 1.96, 1.99,
  1.04, 1.08, 1.12, 1.16, 1.2, 1.24, 1.28, 1.32, 1.36, 1.4, 1.44, 1.48, 1.52,
    1.56, 1.6, 1.64, 1.68, 1.72, 1.76, 1.8, 1.84, 1.88, 1.92, 1.96, 2, 2.04,
    2.08, 2.12, 2.16, 2.2, 2.24, 2.28, 2.32,
  1.05, 1.1, 1.15, 1.2, 1.25, 1.3, 1.35, 1.4, 1.45, 1.5, 1.55, 1.6, 1.65,
    1.7, 1.75, 1.8, 1.85, 1.9, 1.95, 2, 2.05, 2.1, 2.15, 2.2, 2.25, 2.3,
    2.35, 2.4, 2.45, 2.5, 2.55, 2.6, 2.65,
  1.06, 1.12, 1.18, 1.24, 1.3, 1.36, 1.42, 1.48, 1.54, 1.6, 1.66, 1.72, 1.78,
    1.84, 1.9, 1.96, 2.02, 2.08, 2.14, 2.2, 2.26, 2.32, 2.38, 2.44, 2.5,
    2.56, 2.62, 2.68, 2.74, 2.8, 2.86, 2.92, 2.98,
  1.07, 1.14, 1.21, 1.28, 1.35, 1.42, 1.49, 1.56, 1.63, 1.7, 1.77, 1.84,
    1.91, 1.98, 2.05, 2.12, 2.19, 2.26, 2.33, 2.4, 2.47, 2.54, 2.61, 2.68,
    2.75, 2.82, 2.89, 2.96, 3.03, 3.1, 3.17, 3.24, 3.31,
  1.08, 1.16, 1.24, 1.32, 1.4, 1.48, 1.56, 1.64, 1.72, 1.8, 1.88, 1.96, 2.04,
    2.12, 2.2, 2.28, 2.36, 2.44, 2.52, 2.6, 2.68, 2.76, 2.84, 2.92, 3, 3.08,
    3.16, 3.24, 3.32, 3.4, 3.48, 3.56, 3.64,
  1.09, 1.18, 1.27, 1.36, 1.45, 1.54, 1.63, 1.72, 1.81, 1.9, 1.99, 2.08,
    2.17, 2.26, 2.35, 2.44, 2.53, 2.62, 2.71, 2.8, 2.89, 2.98, 3.07, 3.16,
    3.25, 3.34, 3.43, 3.52, 3.61, 3.7, 3.79, 3.88, 3.97,
  1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2, 2.1, 2.2, 2.3, 2.4, 2.5,
    2.6, 2.7, 2.8, 2.9, 3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4,
    4.1, 4.2, 4.3 ;

 vals_nod_var2 =
  2.01, 2.02, 2.03, 2.04, 2.05, 2.06, 2.07, 2.08, 2.09, 2.1, 2.11, 2.12,
    2.13, 2.14, 2.15, 2.16, 2.17, 2.18, 2.19, 2.2, 2.21, 2.22, 2.23, 2.24,
    2.25, 2.26, 2.27, 2.28, 2.29, 2.3, 2.31, 2.32, 2.33,
  2.02, 2.04, 2.06, 2.08, 2.1, 2.12, 2.14, 2.16, 2.18, 2.2, 2.22, 2.24, 2.26,
    2.28, 2.3, 2.32, 2.34, 2.36, 2.38, 2.4, 2.42, 2.44, 2.46, 2.48, 2.5,
    2.52, 2.54, 2.56, 2.58, 2.6, 2.62, 2.64, 2.66,
  2.03, 2.06, 2.09, 2.12, 2.15, 2.18, 2.21, 2.24, 2.27, 2.3, 2.33, 2.36,
    2.39, 2.42, 2.45, 2.48, 2.51, 2.54, 2.57, 2.6, 2.63, 2.66, 2.69, 2.72,
    2.75, 2.78, 2.81, 2.84, 2.87, 2.9, 2.93, 2.96, 2.99,
  2.04, 2.08, 2.12, 2.16, 2.2, 2.24, 2.28, 2.32, 2.36, 2.4, 2.44, 2.48, 2.52,
    2.56, 2.6, 2.64, 2.68, 2.72, 2.76, 2.8, 2.84, 2.88, 2.92, 2.96, 3, 3.04,
    3.08, 3.12, 3.16, 3.2, 3.24, 3.28, 3.32,
  2.05, 2.1, 2.15, 2.2, 2.25, 2.3, 2.35, 2.4, 2.45, 2.5, 2.55, 2.6, 2.65,
    2.7, 2.75, 2.8, 2.85, 2.9, 2.95, 3, 3.05, 3.1, 3.15, 3.2, 3.25, 3.3,
    3.35, 3.4, 3.45, 3.5, 3.55, 3.6, 3.65,
  2.06, 2.12, 2.18, 2.24, 2.3, 2.36, 2.42, 2.48, 2.54, 2.6, 2.66, 2.72, 2.78,
    2.84, 2.9, 2.96, 3.02, 3.08, 3.14, 3.2, 3.26, 3.32, 3.38, 3.44, 3.5,
    3.56, 3.62, 3.68, 3.74, 3.8, 3.86, 3.92, 3.98,
  2.07, 2.14, 2.21, 2.28, 2.35, 2.42, 2.49, 2.56, 2.63, 2.7, 2.77, 2.84,
    2.91, 2.98, 3.05, 3.12, 3.19, 3.26, 3.33, 3.4, 3.47, 3.54, 3.61, 3.68,
    3.75, 3.82, 3.89, 3.96, 4.03, 4.1, 4.17, 4.24, 4.31,
  2.08, 2.16, 2.24, 2.32, 2.4, 2.48, 2.56, 2.64, 2.72, 2.8, 2.88, 2.96, 3.04,
    3.12, 3.2, 3.28, 3.36, 3.44, 3.52, 3.6, 3.68, 3.76, 3.84, 3.92, 4, 4.08,
    4.16, 4.24, 4.32, 4.4, 4.48, 4.56, 4.64,
  2.09, 2.18, 2.27, 2.36, 2.45, 2.54, 2.63, 2.72, 2.81, 2.9, 2.99, 3.08,
    3.17, 3.26, 3.35, 3.44, 3.53, 3.62, 3.71, 3.8, 3.89, 3.98, 4.07, 4.16,
    4.25, 4.34, 4.43, 4.52, 4.61, 4.7, 4.79, 4.88, 4.97,
  2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3, 3.1, 3.2, 3.3, 3.4, 3.5,
    3.6, 3.7, 3.8, 3.9, 4, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5,
    5.1, 5.2, 5.3 ;

 name_elem_var =
  "ele_var0",
  "ele_var1",
  "ele_var2" ;

 name_nset_var =
  "ns_var0",
  "ns_var1",
  "ns_var2" ;

 name_sset_var =
  "ss_var0",
  "ss_var1",
  "ss_var2" ;

 vals_elem_var1eb1 =
  4.01, 4.02, 4.03, 4.04, 4.05, 4.06, 4.07,
  4.02, 4.04, 4.06, 4.08, 4.1, 4.12, 4.14,
  4.03, 4.06, 4.09, 4.12, 4.15, 4.18, 4.21,
  4.04, 4.08, 4.12, 4.16, 4.2, 4.24, 4.28,
  4.05, 4.1, 4.15, 4.2, 4.25, 4.3, 4.35,
  4.06, 4.12, 4.18, 4.24, 4.3, 4.36, 4.42,
  4.07, 4.14, 4.21, 4.28, 4.35, 4.42, 4.49,
  4.08, 4.16, 4.24, 4.32, 4.4, 4.48, 4.56,
  4.09, 4.18, 4.27, 4.36, 4.45, 4.54, 4.63,
  4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7 ;

 vals_elem_var2eb1 =
  5.01, 5.02, 5.03, 5.04, 5.05, 5.06, 5.07,
  5.02, 5.04, 5.06, 5.08, 5.1, 5.12, 5.14,
  5.03, 5.06, 5.09, 5.12, 5.15, 5.18, 5.21,
  5.04, 5.08, 5.12, 5.16, 5.2, 5.24, 5.28,
  5.05, 5.1, 5.15, 5.2, 5.25, 5.3, 5.35,
  5.06, 5.12, 5.18, 5.24, 5.3, 5.36, 5.42,
  5.07, 5.14, 5.21, 5.28, 5.35, 5.42, 5.49,
  5.08, 5.16, 5.24, 5.32, 5.4, 5.48, 5.56,
  5.09, 5.18, 5.27, 5.36, 5.45, 5.54, 5.63,
  5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7 ;

 vals_elem_var3eb1 =
  6.01, 6.02, 6.03, 6.04, 6.05, 6.06, 6.07,
  6.02, 6.04, 6.06, 6.08, 6.1, 6.12, 6.14,
  6.03, 6.06, 6.09, 6.12, 6.15, 6.18, 6.21,
  6.04, 6.08, 6.12, 6.16, 6.2, 6.24, 6.28,
  6.05, 6.1, 6.15, 6.2, 6.25, 6.3, 6.35,
  6.06, 6.12, 6.18, 6.24, 6.3, 6.36, 6.42,
  6.07, 6.14, 6.21, 6.28, 6.35, 6.42, 6.49,
  6.08, 6.16, 6.24, 6.32, 6.4, 6.48, 6.56,
  6.09, 6.18, 6.27, 6.36, 6.45, 6.54, 6.63,
  6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7 ;

 elem_var_tab =
  1, 1, 1 ;

 vals_sset_var1ss1 =
  6.01, 6.02,
  6.02, 6.04,
  6.03, 6.06,
  6.04, 6.08,
  6.05, 6.1,
  6.06, 6.12,
  6.07, 6.14,
  6.08, 6.16,
  6.09, 6.18,
  6.1, 6.2 ;

 vals_sset_var1ss2 =
  7.01, 7.02,
  7.02, 7.04,
  7.03, 7.06,
  7.04, 7.08,
  7.05, 7.1,
  7.06, 7.12,
  7.07, 7.14,
  7.08, 7.16,
  7.09, 7.18,
  7.1, 7.2 ;

 vals_sset_var1ss3 =
  8.01, 8.02, 8.03, 8.04, 8.05, 8.06, 8.07,
  8.02, 8.04, 8.06, 8.08, 8.1, 8.12, 8.14,
  8.03, 8.06, 8.09, 8.12, 8.15, 8.18, 8.21,
  8.04, 8.08, 8.12, 8.16, 8.2, 8.24, 8.28,
  8.05, 8.1, 8.15, 8.2, 8.25, 8.3, 8.35,
  8.06, 8.12, 8.18, 8.24, 8.3, 8.36, 8.42,
  8.07, 8.14, 8.21, 8.28, 8.35, 8.42, 8.49,
  8.08, 8.16, 8.24, 8.32, 8.4, 8.48, 8.56,
  8.09, 8.18, 8.27, 8.36, 8.45, 8.54, 8.63,
  8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7 ;

 vals_sset_var1ss4 =
  9.01, 9.02, 9.03, 9.04, 9.05, 9.06, 9.07, 9.08,
  9.02, 9.04, 9.06, 9.08, 9.1, 9.12, 9.14, 9.16,
  9.03, 9.06, 9.09, 9.12, 9.15, 9.18, 9.21, 9.24,
  9.04, 9.08, 9.12, 9.16, 9.2, 9.24, 9.28, 9.32,
  9.05, 9.1, 9.15, 9.2, 9.25, 9.3, 9.35, 9.4,
  9.06, 9.12, 9.18, 9.24, 9.3, 9.36, 9.42, 9.48,
  9.07, 9.14, 9.21, 9.28, 9.35, 9.42, 9.49, 9.56,
  9.08, 9.16, 9.24, 9.32, 9.4, 9.48, 9.56, 9.64,
  9.09, 9.18, 9.27, 9.36, 9.45, 9.54, 9.63, 9.72,
  9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8 ;

 vals_sset_var1ss5 =
  10.01, 10.02, 10.03, 10.04, 10.05, 10.06, 10.07, 10.08, 10.09, 10.1,
  10.02, 10.04, 10.06, 10.08, 10.1, 10.12, 10.14, 10.16, 10.18, 10.2,
  10.03, 10.06, 10.09, 10.12, 10.15, 10.18, 10.21, 10.24, 10.27, 10.3,
  10.04, 10.08, 10.12, 10.16, 10.2, 10.24, 10.28, 10.32, 10.36, 10.4,
  10.05, 10.1, 10.15, 10.2, 10.25, 10.3, 10.35, 10.4, 10.45, 10.5,
  10.06, 10.12, 10.18, 10.24, 10.3, 10.36, 10.42, 10.48, 10.54, 10.6,
  10.07, 10.14, 10.21, 10.28, 10.35, 10.42, 10.49, 10.56, 10.63, 10.7,
  10.08, 10.16, 10.24, 10.32, 10.4, 10.48, 10.56, 10.64, 10.72, 10.8,
  10.09, 10.18, 10.27, 10.36, 10.45, 10.54, 10.63, 10.72, 10.81, 10.9,
  10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7, 10.8, 10.9, 11 ;

 vals_sset_var2ss1 =
  7.01, 7.02,
  7.02, 7.04,
  7.03, 7.06,
  7.04, 7.08,
  7.05, 7.1,
  7.06, 7.12,
  7.07, 7.14,
  7.08, 7.16,
  7.09, 7.18,
  7.1, 7.2 ;

 vals_sset_var2ss2 =
  8.01, 8.02,
  8.02, 8.04,
  8.03, 8.06,
  8.04, 8.08,
  8.05, 8.1,
  8.06, 8.12,
  8.07, 8.14,
  8.08, 8.16,
  8.09, 8.18,
  8.1, 8.2 ;

 vals_sset_var2ss3 =
  9.01, 9.02, 9.03, 9.04, 9.05, 9.06, 9.07,
  9.02, 9.04, 9.06, 9.08, 9.1, 9.12, 9.14,
  9.03, 9.06, 9.09, 9.12, 9.15, 9.18, 9.21,
  9.04, 9.08, 9.12, 9.16, 9.2, 9.24, 9.28,
  9.05, 9.1, 9.15, 9.2, 9.25, 9.3, 9.35,
  9.06, 9.12, 9.18, 9.24, 9.3, 9.36, 9.42,
  9.07, 9.14, 9.21, 9.28, 9.35, 9.42, 9.49,
  9.08, 9.16, 9.24, 9.32, 9.4, 9.48, 9.56,
  9.09, 9.18, 9.27, 9.36, 9.45, 9.54, 9.63,
  9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7 ;

 vals_sset_var2ss4 =
  10.01, 10.02, 10.03, 10.04, 10.05, 10.06, 10.07, 10.08,
  10.02, 10.04, 10.06, 10.08, 10.1, 10.12, 10.14, 10.16,
  10.03, 10.06, 10.09, 10.12, 10.15, 10.18, 10.21, 10.24,
  10.04, 10.08, 10.12, 10.16, 10.2, 10.24, 10.28, 10.32,
  10.05, 10.1, 10.15, 10.2, 10.25, 10.3, 10.35, 10.4,
  10.06, 10.12, 10.18, 10.24, 10.3, 10.36, 10.42, 10.48,
  10.07, 10.14, 10.21, 10.28, 10.35, 10.42, 10.49, 10.56,
  10.08, 10.16, 10.24, 10.32, 10.4, 10.48, 10.56, 10.64,
  10.09, 10.18, 10.27, 10.36, 10.45, 10.54, 10.63, 10.72,
  10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7, 10.8 ;

 vals_sset_var2ss5 =
  11.01, 11.02, 11.03, 11.04, 11.05, 11.06, 11.07, 11.08, 11.09, 11.1,
  11.02, 11.04, 11.06, 11.08, 11.1, 11.12, 11.14, 11.16, 11.18, 11.2,
  11.03, 11.06, 11.09, 11.12, 11.15, 11.18, 11.21, 11.24, 11.27, 11.3,
  11.04, 11.08, 11.12, 11.16, 11.2, 11.24, 11.28, 11.32, 11.36, 11.4,
  11.05, 11.1, 11.15, 11.2, 11.25, 11.3, 11.35, 11.4, 11.45, 11.5,
  11.06, 11.12, 11.18, 11.24, 11.3, 11.36, 11.42, 11.48, 11.54, 11.6,
  11.07, 11.14, 11.21, 11.28, 11.35, 11.42, 11.49, 11.56, 11.63, 11.7,
  11.08, 11.16, 11.24, 11.32, 11.4, 11.48, 11.56, 11.64, 11.72, 11.8,
  11.09, 11.18, 11.27, 11.36, 11.45, 11.54, 11.63, 11.72, 11.81, 11.9,
  11.1, 11.2, 11.3, 11.4, 11.5, 11.6, 11.7, 11.8, 11.9, 12 ;

 vals_sset_var3ss1 =
  8.01, 8.02,
  8.02, 8.04,
  8.03, 8.06,
  8.04, 8.08,
  8.05, 8.1,
  8.06, 8.12,
  8.07, 8.14,
  8.08, 8.16,
  8.09, 8.18,
  8.1, 8.2 ;

 vals_sset_var3ss2 =
  9.01, 9.02,
  9.02, 9.04,
  9.03, 9.06,
  9.04, 9.08,
  9.05, 9.1,
  9.06, 9.12,
  9.07, 9.14,
  9.08, 9.16,
  9.09, 9.18,
  9.1, 9.2 ;

 vals_sset_var3ss3 =
  10.01, 10.02, 10.03, 10.04, 10.05, 10.06, 10.07,
  10.02, 10.04, 10.06, 10.08, 10.1, 10.12, 10.14,
  10.03, 10.06, 10.09, 10.12, 10.15, 10.18, 10.21,
  10.04, 10.08, 10.12, 10.16, 10.2, 10.24, 10.28,
  10.05, 10.1, 10.15, 10.2, 10.25, 10.3, 10.35,
  10.06, 10.12, 10.18, 10.24, 10.3, 10.36, 10.42,
  10.07, 10.14, 10.21, 10.28, 10.35, 10.42, 10.49,
  10.08, 10.16, 10.24, 10.32, 10.4, 10.48, 10.56,
  10.09, 10.18, 10.27, 10.36, 10.45, 10.54, 10.63,
  10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7 ;

 vals_sset_var3ss4 =
  11.01, 11.02, 11.03, 11.04, 11.05, 11.06, 11.07, 11.08,
  11.02, 11.04, 11.06, 11.08, 11.1, 11.12, 11.14, 11.16,
  11.03, 11.06, 11.09, 11.12, 11.15, 11.18, 11.21, 11.24,
  11.04, 11.08, 11.12, 11.16, 11.2, 11.24, 11.28, 11.32,
  11.05, 11.1, 11.15, 11.2, 11.25, 11.3, 11.35, 11.4,
  11.06, 11.12, 11.18, 11.24, 11.3, 11.36, 11.42, 11.48,
  11.07, 11.14, 11.21, 11.28, 11.35, 11.42, 11.49, 11.56,
  11.08, 11.16, 11.24, 11.32, 11.4, 11.48, 11.56, 11.64,
  11.09, 11.18, 11.27, 11.36, 11.45, 11.54, 11.63, 11.72,
  11.1, 11.2, 11.3, 11.4, 11.5, 11.6, 11.7, 11.8 ;

 vals_sset_var3ss5 =
  12.01, 12.02, 12.03, 12.04, 12.05, 12.06, 12.07, 12.08, 12.09, 12.1,
  12.02, 12.04, 12.06, 12.08, 12.1, 12.12, 12.14, 12.16, 12.18, 12.2,
  12.03, 12.06, 12.09, 12.12, 12.15, 12.18, 12.21, 12.24, 12.27, 12.3,
  12.04, 12.08, 12.12, 12.16, 12.2, 12.24, 12.28, 12.32, 12.36, 12.4,
  12.05, 12.1, 12.15, 12.2, 12.25, 12.3, 12.35, 12.4, 12.45, 12.5,
  12.06, 12.12, 12.18, 12.24, 12.3, 12.36, 12.42, 12.48, 12.54, 12.6,
  12.07, 12.14, 12.21, 12.28, 12.35, 12.42, 12.49, 12.56, 12.63, 12.7,
  12.08, 12.16, 12.24, 12.32, 12.4, 12.48, 12.56, 12.64, 12.72, 12.8,
  12.09, 12.18, 12.27, 12.36, 12.45, 12.54, 12.63, 12.72, 12.81, 12.9,
  12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, 12.9, 13 ;

 vals_nset_var1ns1 =
  8.01, 8.02, 8.03, 8.04, 8.05,
  8.02, 8.04, 8.06, 8.08, 8.1,
  8.03, 8.06, 8.09, 8.12, 8.15,
  8.04, 8.08, 8.12, 8.16, 8.2,
  8.05, 8.1, 8.15, 8.2, 8.25,
  8.06, 8.12, 8.18, 8.24, 8.3,
  8.07, 8.14, 8.21, 8.28, 8.35,
  8.08, 8.16, 8.24, 8.32, 8.4,
  8.09, 8.18, 8.27, 8.36, 8.45,
  8.1, 8.2, 8.3, 8.4, 8.5 ;

 vals_nset_var1ns2 =
  9.01, 9.02, 9.03,
  9.02, 9.04, 9.06,
  9.03, 9.06, 9.09,
  9.04, 9.08, 9.12,
  9.05, 9.1, 9.15,
  9.06, 9.12, 9.18,
  9.07, 9.14, 9.21,
  9.08, 9.16, 9.24,
  9.09, 9.18, 9.27,
  9.1, 9.2, 9.3 ;

 vals_nset_var2ns1 =
  9.01, 9.02, 9.03, 9.04, 9.05,
  9.02, 9.04, 9.06, 9.08, 9.1,
  9.03, 9.06, 9.09, 9.12, 9.15,
  9.04, 9.08, 9.12, 9.16, 9.2,
  9.05, 9.1, 9.15, 9.2, 9.25,
  9.06, 9.12, 9.18, 9.24, 9.3,
  9.07, 9.14, 9.21, 9.28, 9.35,
  9.08, 9.16, 9.24, 9.32, 9.4,
  9.09, 9.18, 9.27, 9.36, 9.45,
  9.1, 9.2, 9.3, 9.4, 9.5 ;

 vals_nset_var2ns2 =
  10.01, 10.02, 10.03,
  10.02, 10.04, 10.06,
  10.03, 10.06, 10.09,
  10.04, 10.08, 10.12,
  10.05, 10.1, 10.15,
  10.06, 10.12, 10.18,
  10.07, 10.14, 10.21,
  10.08, 10.16, 10.24,
  10.09, 10.18, 10.27,
  10.1, 10.2, 10.3 ;

 vals_nset_var3ns1 =
  10.01, 10.02, 10.03, 10.04, 10.05,
  10.02, 10.04, 10.06, 10.08, 10.1,
  10.03, 10.06, 10.09, 10.12, 10.15,
  10.04, 10.08, 10.12, 10.16, 10.2,
  10.05, 10.1, 10.15, 10.2, 10.25,
  10.06, 10.12, 10.18, 10.24, 10.3,
  10.07, 10.14, 10.21, 10.28, 10.35,
  10.08, 10.16, 10.24, 10.32, 10.4,
  10.09, 10.18, 10.27, 10.36, 10.45,
  10.1, 10.2, 10.3, 10.4, 10.5 ;

 vals_nset_var3ns2 =
  11.01, 11.02, 11.03,
  11.02, 11.04, 11.06,
  11.03, 11.06, 11.09,
  11.04, 11.08, 11.12,
  11.05, 11.1, 11.15,
  11.06, 11.12, 11.18,
  11.07, 11.14, 11.21,
  11.08, 11.16, 11.24,
  11.09, 11.18, 11.27,
  11.1, 11.2, 11.3 ;
}