Transaction
ID: dec8b27680...3e9a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.88269164 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.88159164 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 69,513
Total coins transferred: 0.88369164 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000247 ERG
Raw Transaction Data
{
"id": "dec8b27680146df56f3c21130fd163b9b532d83f05dc7d22b5ed433120053e9a",
"blockId": "776255e1492e95efd3c1eaf55b267ad9b2fea0fa091a4d2010062f8e90cb94b0",
"inclusionHeight": 1698481,
"timestamp": 1768254811206,
"index": 1,
"globalIndex": 10135447,
"numConfirmations": 69513,
"inputs": [
{
"boxId": "e9f5a76c8f8e7b05172baed1e122e03864eb5b606a2937f19f35a501c10b90dc",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c4535f6a8f9b5a324a2bfae0097e890d53671a421659bc0e2ede99b7abeec182",
"outputTransactionId": "54e9a20698b22ddcd9ea84e2c2bd7054031016e979b7e477e44e9b407a8ae183",
"outputIndex": 0,
"outputGlobalIndex": 52929951,
"outputCreatedAt": 1698388,
"outputSettledAt": 1698391,
"ergoTree": "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",
"ergoTreeConstants": "0: 5\n1: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 2\n7: -1\n8: false\n9: true\n10: 6\n11: 1\n12: 3\n13: 4\n14: 1\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 10\n21: -1\n22: 1\n23: 0\n24: -1\n25: 0\n26: 1\n27: 0\n28: 1\n29: 2\n30: 3\n31: 4\n32: 5\n33: 6\n34: 0\n35: 0\n36: 1\n37: 2\n38: 2\n39: 5\n40: 5\n41: 3\n42: false\n43: false\n44: false\n45: false\n46: false\n47: 0\n48: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n49: 0\n50: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n51: 0\n52: 0\n53: 1\n54: 0\n55: 0\n56: 2\n57: 1\n58: 1\n59: 0\n60: true\n61: 1\n62: 0\n63: 10\n64: false\n65: 1\n66: 0\n67: 5\n68: 5\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 0\n77: 6\n78: false\n79: false\n80: false\n81: 0\n82: Coll(-29,5,121,27,-29,41,77,-63,27,86,20,61,-48,-84,95,28,89,95,-71,17,81,-13,-95,93,90,99,11,44,-100,-82,-46,-52)\n83: 1\n84: 0\n85: 0\n86: 1\n87: 0\n88: 1\n89: 2\n90: 3\n91: 4\n92: 5\n93: 6\n94: false\n95: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val coll11 = SELF.R9[Coll[Coll[Byte]]].get\n val coll12 = coll11(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll12 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R5[Coll[Byte]].get\n val coll16 = tuple8._1\n val func17 = {(box17: Box) => box17.R9[Coll[Long]].get.fold((placeholder[Long](7), placeholder[Boolean](8)), {(tuple19: ((Long, Boolean), Long)) =>\n val tuple21 = tuple19._1\n val l22 = tuple19._2\n if (tuple21._2) { tuple21 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(coll15).append(longToByteArray(l22)).append(box17.R8[Coll[Byte]].get).append(box17.R4[Coll[Byte]].get).append(coll16)) == box17.R5[Coll[Byte]].get) { (l22, placeholder[Boolean](9)) } else { tuple21 } }\n }) }\n val l18 = coll3(placeholder[Int](10))\n val coll19 = SELF.R7[Coll[Coll[Byte]]].get\n val l20 = coll3(placeholder[Int](11))\n val l21 = coll3(placeholder[Int](12))\n val l22 = coll3(placeholder[Int](13))\n sigmaProp(i1 == placeholder[Int](14)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](15))) && (OUTPUTS.size > placeholder[Int](16))) {(\n val coll23 = CONTEXT.dataInputs\n val coll24 = coll23.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == coll6) && (box24.R6[Coll[Byte]].get == coll7)) && (box24.R5[Coll[Byte]].get != coll9) })\n if (coll24.size == placeholder[Int](17)) {(\n val box25 = coll24(placeholder[Int](18))\n val box26 = OUTPUTS(placeholder[Int](19))\n if (((((blake2b256(box25.propositionBytes) == coll6) && (box25.R6[Coll[Byte]].get == coll7)) && (box25.creationInfo._1.toLong < l10)) && (func13(box25) >= l14)) && (box25.R9[Coll[Long]].get.size.toLong <= placeholder[Long](20))) {(\n val l27 = func17(box25)._1\n val bool28 = l27 != placeholder[Long](21)\n if (bool28) {(\n val coll29 = Coll[Byte]()\n val coll30 = if (coll9 == coll29) { box25.R5[Coll[Byte]].get } else {(\n val coll30 = coll23.filter({(box30: Box) => ((blake2b256(box30.propositionBytes) == coll6) && (box30.R5[Coll[Byte]].get == coll9)) && (box30.R6[Coll[Byte]].get == coll7) })\n if (coll30.size == placeholder[Int](22)) {(\n val box31 = coll30(placeholder[Int](23))\n val tuple32 = func17(box31)\n val l33 = tuple32._1\n if (tuple32._2 && (l33 != placeholder[Long](24))) {(\n val l34 = l18 + l10\n val i35 = box25.creationInfo._1\n val l36 = l27 * l34 - i35.toLong\n val i37 = box31.creationInfo._1\n val l38 = l33 * l34 - i37.toLong\n if ((l36 > l38) || ((l36 == l38) && (i35 < i37))) { box25.R5[Coll[Byte]].get } else { coll29 }\n )} else { coll29 }\n )} else { coll29 }\n )}\n if ((coll30 != coll29) && (coll30 != coll9)) { (((((((((((((((((((func13(box26) >= func13(SELF)) && (box26.tokens(placeholder[Int](25))._1 == coll7)) && (box26.R4[Int].get == i1)) && (i1 == placeholder[Int](26))) && (box26.R5[Coll[Byte]].get == coll15)) && (box26.R6[(Coll[Byte], Coll[Byte])].get._1 == coll16)) && (box26.R6[(Coll[Byte], Coll[Byte])].get._2 == coll30)) && (box26.R7[Coll[Coll[Byte]]].get == coll19)) && (box26.R8[Coll[Long]].get(placeholder[Int](27)) == l10)) && (box26.R8[Coll[Long]].get(placeholder[Int](28)) == l20)) && (box26.R8[Coll[Long]].get(placeholder[Int](29)) == l14)) && (box26.R8[Coll[Long]].get(placeholder[Int](30)) == l21)) && (box26.R8[Coll[Long]].get(placeholder[Int](31)) == l22)) && (box26.R8[Coll[Long]].get(placeholder[Int](32)) == l4)) && (box26.R8[Coll[Long]].get(placeholder[Int](33)) == l18)) && (box26.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll11(placeholder[Int](35)))) && (box26.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll12)) && ((box26.R9[Coll[Coll[Byte]]].get(placeholder[Int](37)) == coll11(placeholder[Int](38))) || (l4 - placeholder[Long](39) + placeholder[Long](40) < l2))) && (box26.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](41))) && bool28 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](47))) {(\n val coll23 = CONTEXT.dataInputs\n val coll24 = coll23.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](48)) && (box24.tokens.size > placeholder[Int](49))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](50))) && (box24.R5[Coll[Byte]].get == coll9)) && box24.R6[Boolean].get) && (!box24.R8[Boolean].get)) && coll19.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](51))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](52))._1 })\n val i26 = coll24.size\n val i27 = coll19.size\n val coll28 = OUTPUTS.filter({(box28: Box) => box28.propositionBytes == SELF.propositionBytes })\n if ((coll25.indices.forall({(i29: Int) => !coll25.slice(i29 + placeholder[Int](53), i26).exists({(coll31: Coll[Byte]) => coll31 == coll25(i29) }) }) && (i26 >= if (i27 == placeholder[Int](54)) { placeholder[Int](55) } else { i27 / placeholder[Int](56) + placeholder[Int](57) })) && (coll28.size == placeholder[Int](58))) {(\n val box29 = coll28(placeholder[Int](59))\n val coll30 = box29.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (if (coll30 == Coll[Byte]()) { placeholder[Boolean](60) } else {(\n val coll32 = coll23.filter({(box32: Box) => ((blake2b256(box32.propositionBytes) == coll6) && (box32.R6[Coll[Byte]].get == coll7)) && (box32.R5[Coll[Byte]].get == coll30) })\n if (coll32.size == placeholder[Int](61)) {(\n val box33 = coll32(placeholder[Int](62))\n ((func17(box33)._2 && (func13(box33) >= l14)) && (box33.creationInfo._1.toLong < l10)) && (box33.R9[Coll[Long]].get.size.toLong <= placeholder[Long](63))\n )} else { placeholder[Boolean](64) }\n )} && (coll31.size == placeholder[Int](65))) {(\n val coll32 = box29.R8[Coll[Long]].get\n ((func13(box29) >= func13(SELF) + func13(coll31(placeholder[Int](66)))) && (coll32(placeholder[Int](67)) >= l2 + placeholder[Long](68))) && ((((((((((((box29.tokens(placeholder[Int](69))._1 == coll7) && (box29.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box29.R5[Coll[Byte]].get == coll15)) && (box29.R7[Coll[Coll[Byte]]].get == coll19)) && (coll32(placeholder[Int](71)) == l10)) && (coll32(placeholder[Int](72)) == l20)) && (coll32(placeholder[Int](73)) == l14)) && (coll32(placeholder[Int](74)) == l21 + l22)) && (coll32(placeholder[Int](75)) == placeholder[Long](76))) && (coll32(placeholder[Int](77)) == l18)) && (box29.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](78) }\n )} else { placeholder[Boolean](79) }\n )} else { placeholder[Boolean](80) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](81))) {(\n val coll23 = OUTPUTS.filter({(box23: Box) => blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](82) })\n if (coll23.size == placeholder[Int](83)) {(\n val box24 = coll23(placeholder[Int](84))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box24.tokens(placeholder[Int](85))._1 == coll7) && (box24.R4[Int].get == i1)) && (i1 == placeholder[Int](86))) && (\n box24.R5[Coll[Byte]].get == coll15\n )\n ) && (box24.R6[(Coll[Byte], Coll[Byte])].get._1 == coll16)\n ) && (box24.R6[(Coll[Byte], Coll[Byte])].get._2 == coll9)\n ) && (box24.R7[Coll[Coll[Byte]]].get == coll19)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](87)) == l10)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](88)) == l20)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](89)) == l14)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](90)) == l21)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](91)) == l22)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](92)) == l4)\n ) && (box24.R8[Coll[Long]].get(placeholder[Int](93)) == l18)\n ) && (box24.R9[Coll[Coll[Byte]]].get == coll11)\n ) && (func13(box24) >= func13(SELF))\n )\n )} else { sigmaProp(placeholder[Boolean](94)) }\n )} else { sigmaProp(placeholder[Boolean](95)) }\n}",
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
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}
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 24,
"amount": 98818100,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "94debade76728e23e43245729ec37785c7ea504e519f56ad9441d057f19070b3",
"index": 25,
"amount": 1,
"name": "Project 10-nov-1229 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3ceab5099a316474366adac26b0a8f90afa611c8ed7316f4ace087c304d7200c",
"index": 26,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "81e1d04b6afdcfadf056c0bd4ea4e154a12d60d48959bb1e0f4b0dc36602cfaf",
"index": 27,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"index": 28,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 29,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a0dda03db7197b89365b75b33c7488a5ee7908c8a28a36fa1b5c676a2b50d905",
"index": 30,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ac0bcdb8129f912eb367d28c419a219d29a7159d22e8f2dbb6176e05a7316342",
"index": 31,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "1445e0c5a021293aa4a1aeff00782302ee281979c372ce508b7f584a6ffba61f",
"index": 32,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
"index": 33,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
"index": 34,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
"index": 35,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 36,
"amount": 61046,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 37,
"amount": 4003,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 38,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 39,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 40,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 41,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 42,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 43,
"amount": 37,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "357d59abf7fbfb46fa73faa4f0898475b24713e2fc8311dab37d5b87dfb72392",
"index": 44,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "6236c29eb679e644342f6c606b0fc44ab1adfc782ad0f66bf57ef3002d96e236",
"index": 45,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
"index": 46,
"amount": 95000,
"name": "BeneSpace",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "3a37bdc6364544fc926fc3d914a4e25c91cf5bb2b9c754bc7f0f6184595b9025",
"index": 47,
"amount": 9999900,
"name": "fakeBTC",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 48,
"amount": 52301,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "687fd56baf59225ef3e5dbd8bd2ba240081ba1b0fd320322f434551d0a509249",
"index": 49,
"amount": 23398,
"name": "FALCON Test Project APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "322a090ccd17f3f94ff8294410bdebec87723a3a50774113219009d2ac8eadbc",
"index": 50,
"amount": 100,
"name": "TEST TIMESTAMP 17:05 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "36baf7010ff975982f745494d3f441527c9c4b1f26b1729386cf6c3e058a6195",
"index": 51,
"amount": 1,
"name": "TEST V2 APT",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0e80f77c534fade053b44f99ae4c375593f474c193bcc7fbc2cf37b12a0ddfde",
"transactionId": "dec8b27680146df56f3c21130fd163b9b532d83f05dc7d22b5ed433120053e9a",
"blockId": "776255e1492e95efd3c1eaf55b267ad9b2fea0fa091a4d2010062f8e90cb94b0",
"value": 1000000,
"index": 0,
"globalIndex": 52932342,
"creationHeight": 1698479,
"settlementHeight": 1698481,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n1: 0\n2: Coll(-65,-122,-35,24,-60,88,124,-14,-74,117,-80,126,44,-32,-26,-118,-31,-2,87,53,-62,-85,-26,108,-16,52,-91,11,20,-12,-64,110)\n3: 1\n4: 0\n5: 0\n6: 2\n7: 1\n8: 0\n9: 3\n10: 1000000\n11: 50000\n12: 1000000\n13: 2\n14: Coll(0,8,-51,2,90,-56,-85,24,63,-3,-29,96,104,96,49,32,-80,10,-51,-15,65,-71,31,-28,-32,-64,-58,-43,98,-75,-14,78,30,44,-62,-47)\n15: 0\n16: 0\n17: 0\n18: true\n19: 0\n20: Coll(25,-72,3,14,5,0,5,0,4,0,14,32,58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107,4,0,4,0,4,0,4,2,1,0,5,0,5,0,4,0,4,2,1,1,-40,4,-42,1,-39,1,1,99,-80,-75,-37,99,8,114,1,-39,1,3,77,14,-109,-116,114,3,1,-28,-58,-89,5,14,115,0,-39,1,3,65)\n21: 1\n22: 0\n23: false\n24: true\n25: Coll(0,8,-51)\n26: 3\n27: 0\n28: 3\n29: false\n30: 3\n31: 5\n32: 5\n33: 0\n34: 0\n35: 3\n36: 0\n37: 3\n38: false\n39: 3\n40: false\n41: 1\n42: 1\n43: 0\n44: -1\n45: false\n46: true\n47: 0\n48: 10\n49: 4\n50: 1000000\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: true\n61: 0\n62: 0\n63: true\n64: false\n65: false\n66: 0\n67: 0\n68: 0\n69: 0",
"ergoTreeScript": "{\n val tuple1 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll2 = tuple1._2\n val bool3 = coll2 != Coll[Byte]()\n val coll4 = placeholder[Coll[Byte]](0)\n val coll5 = SELF.tokens(placeholder[Int](1))._1\n val coll6 = INPUTS.filter({(box6: Box) =>\n val coll8 = blake2b256(box6.propositionBytes)\n ((coll8 == coll4) || (coll8 == placeholder[Coll[Byte]](2))) && (box6.R6[Coll[Byte]].get == coll5)\n })\n val coll7 = SELF.R9[Coll[Coll[Byte]]].get\n val coll8 = coll7(placeholder[Int](3))\n val func9 = {(box9: Box) =>\n if (coll8.size == placeholder[Int](4)) { box9.value } else {\n box9.tokens.filter({(tuple11: (Coll[Byte], Long)) => tuple11._1 == coll8 }).fold(\n placeholder[Long](5), {(tuple11: (Long, (Coll[Byte], Long))) => tuple11._1 + tuple11._2._2 }\n )\n }\n }\n val coll10 = SELF.R8[Coll[Long]].get\n val l11 = coll10(placeholder[Int](6))\n val l12 = coll10(placeholder[Int](7))\n val l13 = coll6.fold(placeholder[Long](8), {(tuple13: (Long, Box)) => tuple13._1 + func9(tuple13._2) }) + func9(SELF) - l12\n val coll14 = SELF.R7[Coll[Coll[Byte]]].get\n val l15 = l13 * coll10(placeholder[Int](9)) / placeholder[Long](10) * coll14.size.toLong\n val l16 = l13 * placeholder[Long](11) / placeholder[Long](12)\n val coll17 = coll7(placeholder[Int](13))\n val coll18 = placeholder[Coll[Byte]](14)\n val bool19 = if (l16 > placeholder[Long](15)) {\n OUTPUTS.filter({(box19: Box) => box19.propositionBytes == coll18 }).fold(\n placeholder[Long](16), {(tuple19: (Long, Box)) => tuple19._1 + func9(tuple19._2) }\n ) - INPUTS.filter({(box19: Box) => box19.propositionBytes == coll18 }).fold(\n placeholder[Long](17), {(tuple19: (Long, Box)) => tuple19._1 + func9(tuple19._2) }\n ) >= l16\n } else { placeholder[Boolean](18) }\n val bool20 = if (l15 > placeholder[Long](19)) {(\n val coll20 = OUTPUTS.filter({(box20: Box) => box20.propositionBytes == placeholder[Coll[Byte]](20) })\n if (coll20.size == placeholder[Int](21)) {(\n val box21 = coll20(placeholder[Int](22))\n ((func9(box21) >= l15) && (box21.R4[Coll[Coll[Byte]]].get == coll14)) && (box21.R5[Coll[Byte]].get == coll8)\n )} else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) }\n val i21 = coll17.size\n val coll22 = placeholder[Coll[Byte]](25)\n val prop23 = if (if (i21 >= placeholder[Int](26)) { coll17.slice(placeholder[Int](27), placeholder[Int](28)) == coll22 } else { placeholder[Boolean](29) }) {\n proveDlog(decodePoint(coll17.slice(placeholder[Int](30), i21)))\n } else { sigmaProp(INPUTS.exists({(box23: Box) => box23.propositionBytes == coll17 })) }\n val coll24 = INPUTS.filter({(box24: Box) => (blake2b256(box24.propositionBytes) == coll4) && (box24.R5[Coll[Byte]].get == coll2) })\n val prop25 = if (bool3) {\n if (HEIGHT.toLong >= coll10(placeholder[Int](31)) + placeholder[Long](32)) { prop23 } else { if (coll24.size > placeholder[Int](33)) {(\n val coll25 = coll24(placeholder[Int](34)).R4[Coll[Byte]].get\n val i26 = coll25.size\n if (if (i26 >= placeholder[Int](35)) { coll25.slice(placeholder[Int](36), placeholder[Int](37)) == coll22 } else { placeholder[Boolean](38) }) { proveDlog(decodePoint(coll25.slice(placeholder[Int](39), i26))) } else { sigmaProp(INPUTS.exists({(box27: Box) => box27.propositionBytes == coll25 })) }\n )} else { sigmaProp(placeholder[Boolean](40)) } }\n } else { prop23 }\n sigmaProp(SELF.R4[Int].get == placeholder[Int](41)) && if (bool3) {(\n val coll26 = coll6.filter({(box26: Box) => box26.R5[Coll[Byte]].get == coll2 })\n if (coll26.size == placeholder[Int](42)) {(\n val box27 = coll26(placeholder[Int](43))\n if ((({(box28: Box) => box28.R9[Coll[Long]].get.fold((placeholder[Long](44), placeholder[Boolean](45)), {(tuple30: ((Long, Boolean), Long)) =>\n val tuple32 = tuple30._1\n val l33 = tuple30._2\n if (tuple32._2) { tuple32 } else { if (blake2b256(box28.R7[Coll[Byte]].get.append(SELF.R5[Coll[Byte]].get).append(longToByteArray(l33)).append(box28.R8[Coll[Byte]].get).append(box28.R4[Coll[Byte]].get).append(tuple1._1)) == box28.R5[Coll[Byte]].get) { (l33, placeholder[Boolean](46)) } else { tuple32 } }\n }) }(box27)._2 && (func9(box27) >= l11)) && (box27.creationInfo._1.toLong < coll10(placeholder[Int](47)))) && (\n box27.R9[Coll[Long]].get.size.toLong <= placeholder[Long](48)\n )) {(\n val coll28 = box27.R4[Coll[Byte]].get\n val l29 = l13 * coll10(placeholder[Int](49)) / placeholder[Long](50)\n val l30 = l13 - l29 - l15 - l16\n val bool31 = l30 < l11\n prop25 && sigmaProp(\n (\n (\n (\n (\n OUTPUTS.filter({(box32: Box) => box32.propositionBytes == coll28 }).fold(\n placeholder[Long](51), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) - INPUTS.filter({(box32: Box) => box32.propositionBytes == coll28 }).fold(\n placeholder[Long](52), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) >= if (bool31) { l13 } else { l30 }\n ) && OUTPUTS.exists(\n {(box32: Box) =>\n ((box32.propositionBytes == coll28) && (box32.tokens.size > placeholder[Int](53))) && (box32.tokens(placeholder[Int](54))._1 == coll5)\n }\n )\n ) && (\n OUTPUTS.filter({(box32: Box) => box32.propositionBytes == coll17 }).fold(\n placeholder[Long](55), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) - INPUTS.filter({(box32: Box) => box32.propositionBytes == coll17 }).fold(\n placeholder[Long](56), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) >= l12 + if (bool31) { placeholder[Long](57) } else { l29 }\n )\n ) && if (if (bool31) { placeholder[Long](58) } else { l16 } == placeholder[Long](59)) { placeholder[Boolean](60) } else { bool19 }\n ) && if (if (bool31) { placeholder[Long](61) } else { l15 } == placeholder[Long](62)) { placeholder[Boolean](63) } else { bool20 }\n )\n )} else { sigmaProp(placeholder[Boolean](64)) }\n )} else { sigmaProp(placeholder[Boolean](65)) }\n )} else {\n prop25 && sigmaProp(\n (\n (\n (\n OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll17 }).fold(\n placeholder[Long](66), {(tuple26: (Long, Box)) => tuple26._1 + func9(tuple26._2) }\n ) - INPUTS.filter({(box26: Box) => box26.propositionBytes == coll17 }).fold(\n placeholder[Long](67), {(tuple26: (Long, Box)) => tuple26._1 + func9(tuple26._2) }\n ) >= l13 + l12 - l16 - l15\n ) && OUTPUTS.exists(\n {(box26: Box) =>\n ((box26.propositionBytes == coll17) && (box26.tokens.size > placeholder[Int](68))) && (box26.tokens(placeholder[Int](69))._1 == coll5)\n }\n )\n ) && bool19\n ) && bool20\n )\n }\n}",
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"assets": [
{
"tokenId": "8ad432094f048021ee6c6f1cedc0946be8da2166c701ac8bb4464613c5259b17",
"index": 0,
"amount": 1,
"name": "TEST V5",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 500,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e089c6f19ce241e7b1a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c6f19ce241e7b1a"
},
"R6": {
"serializedValue": "3c0e0e2035aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21207e73bf6dda16b67c7e99e332a3047d8fae629bc7e1902826a656a35666463be7",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,7e73bf6dda16b67c7e99e332a3047d8fae629bc7e1902826a656a35666463be7]"
},
"R8": {
"serializedValue": "1107a6a9cf01e807c801a09c01a0c21ec6a9cf011e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1698387,500,100,10000,250000,1698403,15]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "1a03f5017b227469746c65223a2254455354205635222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c2263726561746f72546f6b656e4964223a2237353865623739363635323234343932633866623834396130383735316434316364353937346137616631303939653535353866353432346133383231666339222c22736572766963654964223a2233356161313131383663313864336530346638313635363234383231336131613363343365383961363730343537363332383765363434646236306333663231222c227061706572223a22222c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254455354205635222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c2263726561746f72546f6b656e4964223a2237353865623739363635323234343932633866623834396130383735316434316364353937346137616631303939653535353866353432346133383231666339222c22736572766963654964223a2233356161313131383663313864336530346638313635363234383231336131613363343365383961363730343537363332383765363434646236306333663231222c227061706572223a22222c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71,0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7]"
},
"R4": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
},
"spentTransactionId": "4fdaa4ed4dbf338b2d96ab297303e8e56d9c4bdbb129f8be3596e9151b7dcca6",
"mainChain": true
},
{
"boxId": "18699173cf5886b165fa361690f73185e2188b8815c86b1f44f01392505b16b0",
"transactionId": "dec8b27680146df56f3c21130fd163b9b532d83f05dc7d22b5ed433120053e9a",
"blockId": "776255e1492e95efd3c1eaf55b267ad9b2fea0fa091a4d2010062f8e90cb94b0",
"value": 1100000,
"index": 1,
"globalIndex": 52932343,
"creationHeight": 1698479,
"settlementHeight": 1698481,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "3c943cf3818beef2c271add072fb7de25862c838da71ea56a5125b4bdf9b6668",
"mainChain": true
},
{
"boxId": "7bd9a777c558a37f1032ae30f5ca5354ca43e2b438b69b386615a1fd7919e38b",
"transactionId": "dec8b27680146df56f3c21130fd163b9b532d83f05dc7d22b5ed433120053e9a",
"blockId": "776255e1492e95efd3c1eaf55b267ad9b2fea0fa091a4d2010062f8e90cb94b0",
"value": 881591640,
"index": 2,
"globalIndex": 52932344,
"creationHeight": 1698479,
"settlementHeight": 1698481,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
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"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "TEST CAT V1 APT",
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"type": "EIP-004"
},
{
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},
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},
{
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},
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"type": "EIP-004"
},
{
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},
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},
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},
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},
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},
{
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{
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"name": "Project 10-nov-1229 APT",
"decimals": 2,
"type": "EIP-004"
},
{
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