Open Bromel777 opened 2 months ago
next cost models used
let ops_v1 = [
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,
];
let ops_v2 = [
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,
];
let ops_v3 = [
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,
];
Can you provide more info about the scripts used in those reference inputs? (size is the relevant thing here)
From where are they all being used? I'm guessing they aren't just used to spend utxos?
Could you share your tx-builder-related code?
@Bromel777 can you check to see if #359 fixes this?
Hi, I'm trying to calculate min_fee for this tx by calling
min_fee(true)
, the result is less than real. Tx 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
Value frommin_fee(true)
is579732
Value from attempt to submit tx manually by Cardano-cli592007