use cardano_serialization_lib as csl;
use crate::model::Network;
pub fn get_mainnet_cost_models() -> Vec<Vec<i64>> {
vec![
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420,
1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32,
53384111, 14333, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 955506, 213312, 0, 2, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0,
141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32,
25933, 32, 24623, 32, 43053543, 10, 53384111, 14333, 10, 43574283, 26308, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 1000, 42921, 4, 2,
24548, 29498, 38, 1, 898148, 27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895,
32, 83150, 32, 15299, 32, 76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1,
43285, 552, 1, 44749, 541, 1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32,
11546, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 90434, 519, 0, 1,
74433, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 85848, 123203,
7305, -900, 1716, 549, 57, 85848, 0, 1, 955506, 213312, 0, 2, 270652, 22588, 4,
1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32,
20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32, 43053543, 10, 53384111, 14333,
10, 43574283, 26308, 10, 16000, 100, 16000, 100, 962335, 18, 2780678, 6, 442008, 1,
52538055, 3756, 18, 267929, 18, 76433006, 8868, 18, 52948122, 18, 1995836, 36, 3227919,
12, 901022, 1, 166917843, 4307, 36, 284546, 36, 158221314, 26549, 36, 74698472, 36,
333849714, 1, 254006273, 72, 2174038, 72, 2261318, 64571, 4, 207616, 8310, 4, 1293828,
28716, 63, 0, 1, 1006041, 43623, 251, 0, 1, 100181, 726, 719, 0, 1, 100181, 726, 719,
0, 1, 100181, 726, 719, 0, 1, 107878, 680, 0, 1, 95336, 1, 281145, 18848, 0, 1, 180194,
159, 1, 1, 158519, 8942, 0, 1, 159378, 8813, 0, 1, 107490, 3298, 1, 106057, 655, 1,
1964219, 24520, 3,
],
]
}
pub fn get_preprod_cost_models() -> Vec<Vec<i64>> {
vec![
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420,
1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32,
53384111, 14333, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 955506, 213312, 0, 2, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0,
141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32,
25933, 32, 24623, 32, 43053543, 10, 53384111, 14333, 10, 43574283, 26308, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 1000, 42921, 4, 2,
24548, 29498, 38, 1, 898148, 27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895,
32, 83150, 32, 15299, 32, 76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1,
43285, 552, 1, 44749, 541, 1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32,
11546, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 90434, 519, 0, 1,
74433, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 85848, 123203,
7305, -900, 1716, 549, 57, 85848, 0, 1, 955506, 213312, 0, 2, 270652, 22588, 4,
1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32,
20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32, 43053543, 10, 53384111, 14333,
10, 43574283, 26308, 10, 16000, 100, 16000, 100, 962335, 18, 2780678, 6, 442008, 1,
52538055, 3756, 18, 267929, 18, 76433006, 8868, 18, 52948122, 18, 1995836, 36, 3227919,
12, 901022, 1, 166917843, 4307, 36, 284546, 36, 158221314, 26549, 36, 74698472, 36,
333849714, 1, 254006273, 72, 2174038, 72, 2261318, 64571, 4, 207616, 8310, 4, 1293828,
28716, 63, 0, 1, 1006041, 43623, 251, 0, 1, 100181, 726, 719, 0, 1, 100181, 726, 719,
0, 1, 100181, 726, 719, 0, 1, 107878, 680, 0, 1, 95336, 1, 281145, 18848, 0, 1, 180194,
159, 1, 1, 158519, 8942, 0, 1, 159378, 8813, 0, 1, 107490, 3298, 1, 106057, 655, 1,
1964219, 24520, 3,
],
]
}
pub fn get_preview_cost_models() -> Vec<Vec<i64>> {
vec![
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420,
1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32,
53384111, 14333, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 228465, 122, 0, 1, 1, 1000, 42921, 4, 2, 24548, 29498, 38, 1, 898148,
27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895, 32, 83150, 32, 15299, 32,
76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1, 43285, 552, 1, 44749, 541,
1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32, 11546, 32, 85848, 228465, 122,
0, 1, 1, 90434, 519, 0, 1, 74433, 32, 85848, 228465, 122, 0, 1, 1, 85848, 228465, 122,
0, 1, 1, 955506, 213312, 0, 2, 270652, 22588, 4, 1457325, 64566, 4, 20467, 1, 4, 0,
141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32, 20142, 32, 24588, 32, 20744, 32,
25933, 32, 24623, 32, 43053543, 10, 53384111, 14333, 10, 43574283, 26308, 10,
],
vec![
100788, 420, 1, 1, 1000, 173, 0, 1, 1000, 59957, 4, 1, 11183, 32, 201305, 8356, 4,
16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 16000, 100, 100, 100,
16000, 100, 94375, 32, 132994, 32, 61462, 4, 72010, 178, 0, 1, 22151, 32, 91189, 769,
4, 2, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 1000, 42921, 4, 2,
24548, 29498, 38, 1, 898148, 27279, 1, 51775, 558, 1, 39184, 1000, 60594, 1, 141895,
32, 83150, 32, 15299, 32, 76049, 1, 13169, 4, 22100, 10, 28999, 74, 1, 28999, 74, 1,
43285, 552, 1, 44749, 541, 1, 33852, 32, 68246, 32, 72362, 32, 7243, 32, 7391, 32,
11546, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 90434, 519, 0, 1,
74433, 32, 85848, 123203, 7305, -900, 1716, 549, 57, 85848, 0, 1, 1, 85848, 123203,
7305, -900, 1716, 549, 57, 85848, 0, 1, 955506, 213312, 0, 2, 270652, 22588, 4,
1457325, 64566, 4, 20467, 1, 4, 0, 141992, 32, 100788, 420, 1, 1, 81663, 32, 59498, 32,
20142, 32, 24588, 32, 20744, 32, 25933, 32, 24623, 32, 43053543, 10, 53384111, 14333,
10, 43574283, 26308, 10, 16000, 100, 16000, 100, 962335, 18, 2780678, 6, 442008, 1,
52538055, 3756, 18, 267929, 18, 76433006, 8868, 18, 52948122, 18, 1995836, 36, 3227919,
12, 901022, 1, 166917843, 4307, 36, 284546, 36, 158221314, 26549, 36, 74698472, 36,
333849714, 1, 254006273, 72, 2174038, 72, 2261318, 64571, 4, 207616, 8310, 4, 1293828,
28716, 63, 0, 1, 1006041, 43623, 251, 0, 1, 100181, 726, 719, 0, 1, 100181, 726, 719,
0, 1, 100181, 726, 719, 0, 1, 107878, 680, 0, 1, 95336, 1, 281145, 18848, 0, 1, 180194,
159, 1, 1, 158519, 8942, 0, 1, 159378, 8813, 0, 1, 107490, 3298, 1, 106057, 655, 1,
1964219, 24520, 3,
],
]
}
pub fn get_cost_models_from_network(network: &Network) -> Vec<Vec<i64>> {
match network {
Network::Mainnet => get_mainnet_cost_models(),
Network::Preprod => get_preprod_cost_models(),
Network::Preview => get_preview_cost_models(),
Network::Custom(custom_cost_models) => custom_cost_models.to_vec(),
}
}
pub fn build_csl_cost_models(network: &Network) -> csl::Costmdls {
let mut csl_cost_mdls = csl::Costmdls::new();
let cost_model_list = get_cost_models_from_network(network);
(0..cost_model_list.len()).for_each(|i| {
let current_cost_model = &cost_model_list[i];
if i == 0 {
csl_cost_mdls.insert(
&csl::Language::new_plutus_v1(),
&csl::CostModel::from(
current_cost_model
.iter()
.map(|&i| i as i128)
.collect::<Vec<i128>>(),
),
);
}
if i == 1 {
csl_cost_mdls.insert(
&csl::Language::new_plutus_v2(),
&csl::CostModel::from(
current_cost_model
.iter()
.map(|&i| i as i128)
.collect::<Vec<i128>>(),
),
);
}
if i == 2 {
csl_cost_mdls.insert(
&csl::Language::new_plutus_v3(),
&csl::CostModel::from(
current_cost_model
.iter()
.map(|&i| i as i128)
.collect::<Vec<i128>>(),
),
);
}
});
csl_cost_mdls
}