Transaction
ID: a1295028c9...50ca
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.301496037 ERG
Tokens:
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.301496037 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 58,828
Total coins transferred: 0.304496037 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001605 ERG
Raw Transaction Data
{
"id": "a1295028c9d472b5c60d2c5ee1d6618a0f878df12242b2d58c55bb29ae8650ca",
"blockId": "4d7701ad859a87cd4c5d68068404efc259f75fb3f24a61f9c36920f78ccafa01",
"inclusionHeight": 1708583,
"timestamp": 1769477047543,
"index": 10,
"globalIndex": 10206360,
"numConfirmations": 58828,
"inputs": [
{
"boxId": "15c9b09840eef43c5d8b45e7a7b2ae6ab3ed3ef2a92cfe6c1ea17ba37737c53a",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "633dcda4d4e652611b963f2862d3c467812e6e0a9293124824365b4ad8931d31",
"outputTransactionId": "14d06535c149f2e08fd2485d134500f1de45ef0f7bfe2bb13d319d7d5c5bb6be",
"outputIndex": 0,
"outputGlobalIndex": 53208336,
"outputCreatedAt": 1708579,
"outputSettledAt": 1708580,
"ergoTree": "10040406040004000580897a9592b1a57300d801d601b2a5730100d1ededed93c27201e4c6a7050e92c17201e4c6a7040593db63087201dc0c1de4c6a7091a01e4c6a7081193e4c67201040ec5a7d801d601b2a5730200d1ededed93c27201e4c6a7050e92c1720199c1a7730393db63087201db6308a792a3e4c6a70604",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 1000000",
"ergoTreeScript": "{if (OUTPUTS.size >= placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n sigmaProp(\n (\n ((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && (box1.value >= SELF.R4[Long].get)) && (\n box1.tokens == SELF.R9[Coll[Coll[Byte]]].get.zip(SELF.R8[Coll[Long]].get)\n )\n ) && (box1.R4[Coll[Byte]].get == SELF.id)\n )\n)} else {(\n val box1 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n (((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && (box1.value >= SELF.value - placeholder[Long](3))) && (box1.tokens == SELF.tokens)) && (\n HEIGHT >= SELF.R6[Int].get\n )\n )\n)}}",
"address": "TwyqbJtQAJCTiZsGAy9R1Uc2gwBWn66uNGyzAEMYtpYmRjm4DKFZcrkyQyNAao4U7E3tgoQ87RvECZm1vuGeTLFZvu98ThquQEBE2eR8C7SCGY4jKFt39hSZE3io2UL7FCadtMbAru3kNbmihaJEXsQtsYaSFzgPpNa5NLkr9Znxp79oji",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "0482c9d001",
"sigmaType": "SInt",
"renderedValue": "1708609"
},
"R8": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "0e20ecadd97dc3d91fda99a387015991bdde9ee352318d8c09b28a16f2a5bfe67bd5",
"sigmaType": "Coll[SByte]",
"renderedValue": "ecadd97dc3d91fda99a387015991bdde9ee352318d8c09b28a16f2a5bfe67bd5"
},
"R9": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R4": {
"serializedValue": "05cadbc39f02",
"sigmaType": "SLong",
"renderedValue": "301496037"
}
}
},
{
"boxId": "ecadd97dc3d91fda99a387015991bdde9ee352318d8c09b28a16f2a5bfe67bd5",
"value": 301496037,
"index": 1,
"spendingProof": null,
"outputBlockId": "f971492d96970589fbe9f50f64b10ced268e30d1792c9de7a0bb5bae8c3542d8",
"outputTransactionId": "5bd14752b408f636339afd0b25921f817187e2966d1b1c3419d5472e74b3eba4",
"outputIndex": 2,
"outputGlobalIndex": 53208212,
"outputCreatedAt": 1708570,
"outputSettledAt": 1708573,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-92,-6,-43,54,-4,-120,12,-72,101,-85,127,-85,-95,86,58,-41,13,-48,-46,-82,-34,4,69,-67,-87,-128,122,-105,-23,-63,-14,69)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(112,-104,-74,55,1,113,-115,50,14,-114,-116,53,-80,-89,56,-13,58,2,94,-80,42,87,-124,-61,87,102,117,103,84,-118,119,33)\n10: 0\n11: 1\n12: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n13: 0\n14: 0\n15: 1\n16: 5\n17: 7\n18: 2\n19: 0\n20: 32\n21: 32\n22: 40\n23: 1000\n24: 6\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 0\n33: 0\n34: 1\n35: 3\n36: 0\n37: 8\n38: 0\n39: 8\n40: 0\n41: 1\n42: 10000000\n43: 1\n44: 1000000\n45: 1000\n46: 1000\n47: 1000000\n48: 10000000\n49: 5\n50: 1000000\n51: 10000000\n52: 100000000\n53: 100000000\n54: true\n55: 0\n56: 0\n57: 0\n58: 1000\n59: 1\n60: 1\n61: 980000\n62: 1000000\n63: CBigInt(1)\n64: 0\n65: 0\n66: 0\n67: 0\n68: -1\n69: 1\n70: 1\n71: 2000000\n72: 0\n73: 0\n74: 0\n75: true\n76: 0\n77: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val i5 = INPUTS.indexOf(SELF, placeholder[Int](3))\n val coll6 = SELF.R9[Coll[Long]].get\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(i5, SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](5))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](6)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](7)) && (coll24(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](11), coll7.size)\n val coll26 = placeholder[Coll[Byte]](12)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(i5, SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](13))\n val l32 = coll6(placeholder[Int](14))\n val i33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size\n val bool34 = i33 == placeholder[Int](15)\n val l35 = HEIGHT.toLong\n val l36 = coll6(placeholder[Int](16)) + coll6(placeholder[Int](17))\n val l37 = coll6(placeholder[Int](18))\n val coll38 = coll13.slice(placeholder[Int](19), placeholder[Int](20))\n val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l35 < l36) {(\n val i41 = placeholder[Int](23)\n bi40 * coll6(placeholder[Int](24)).toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](25), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](26))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](27), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](28))\n if (coll2.size > placeholder[Int](29)) {(\n val func50 = func15\n val coll51 = coll16\n val i52 = coll51.size\n val func53 = func27\n val coll54 = coll28\n val box55 = coll2.getOrElse(i5, SELF)\n val l56 = box55.R4[Coll[Long]].get(placeholder[Int](30))\n if (i52 > placeholder[Int](31)) {(\n val box57 = box17\n val bool58 = OUTPUTS.map({(box58: Box) => box58.id }).indexOf(box57.id, placeholder[Int](32)) == box55.R9[Coll[Int]].get(\n placeholder[Int](33)\n ) - placeholder[Int](34)\n val l59 = box57.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box57.R4[Coll[Byte]].get\n val ge63 = box57.R5[GroupElement].get\n val coll64 = box57.R7[Coll[Byte]].get\n val bool65 = ((((l59 >= coll6(placeholder[Int](35))) && (tuple61._1 == coll9)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)\n val coll66 = box57.R8[Coll[Byte]].get\n val l67 = box57.R6[Long].get\n val coll68 = box57.R9[Coll[Long]].get\n val bool69 = coll68.slice(placeholder[Int](36), placeholder[Int](37)) == coll6.slice(placeholder[Int](38), placeholder[Int](39))\n if (coll54.size > placeholder[Int](40)) {(\n val bi70 = l20.toBigInt\n val box71 = box29\n val coll72 = coll30\n val tuple73 = coll72(placeholder[Int](41))\n val tuple74 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](42))) && (\n bi70 >= bi24 - tuple73._2.toBigInt * bi21 / bi22\n )\n ) && (coll60.slice(placeholder[Int](43), coll60.size) == coll25)\n ) && (l67 == l12)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](44)) && (tuple74._1 == coll9)) && (tuple73._1 == coll26))\n ) && (tuple74._2 == l23 - l20)\n ) && (l56.toBigInt >= bi70 * bi22 / bi21 * l32.toBigInt / placeholder[Int](45).toBigInt)\n ) && bool34\n ) && (l35 >= l36)\n )\n )} else {(\n val bi70 = l56.toBigInt\n val bi71 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / placeholder[Int](46).toBigInt\n val prop72 = proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](47))) && (l59 <= l14 + placeholder[Long](48))) && (\n coll60 == coll7\n )\n ) && (l67 > l35 + l37)\n ) && (l67 < l35 + l37 + placeholder[Long](49))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](50))) && (l59 <= l14 + placeholder[Long](51))) && (\n coll60 == coll7\n )\n ) && (l12 != placeholder[Long](52))\n ) && (l67 == placeholder[Long](53))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(placeholder[Boolean](54)) || prop72 && sigmaProp(l59 != l14) || sigmaProp(INPUTS.filter({(box73: Box) =>\n val coll75 = box73.tokens\n ((coll75.size > placeholder[Int](55)) && (coll75(placeholder[Int](56))._1 == coll38)) && (box73.R9[Coll[Coll[Byte]]].get(i5) == coll39)\n }).size > placeholder[Int](57)) || prop72 && sigmaProp(\n ((((((bool65 && (l59 == l14)) && (coll60 == coll7)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)) && (coll68 == coll6)) && (\n i33 == i52\n )\n )\n )}\n )} else {(\n val bi57 = l56.toBigInt\n val i58 = placeholder[Int](58)\n val box59 = box42\n val coll60 = coll43\n val tuple61 = tuple44\n val tuple62 = coll60(placeholder[Int](59))\n val coll63 = SELF.id\n val bi64 = bi57 - bi41\n val bi65 = coll6(placeholder[Int](60)).toBigInt\n val bi66 = bi64 * i58.toBigInt - bi65 / i58.toBigInt\n val l67 = tuple62._2\n sigmaProp(\n (\n (\n (\n (\n (((bi57 <= bi41 * l32.toBigInt / i58.toBigInt) && (l35 >= l12)) || (l35 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box59.value >= placeholder[Long](62)) && (tuple61._1 == coll9)) && (tuple62._1 == coll26)) && (box59.id != coll63)\n )\n ) && (tuple61._2 == l23)\n ) && if (bi66 < placeholder[BigInt](63)) { l67.toBigInt >= bi57 } else {(\n val box68 = OUTPUTS.filter({(box68: Box) => box68.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple69 = box68.tokens(placeholder[Int](65))\n (((l67.toBigInt >= bi41 + bi64 * bi65 / i58.toBigInt) && (tuple69._2.toBigInt >= bi66)) && (tuple69._1 == coll26)) && (box68.id != coll63)\n )}\n ) && (\n INPUTS.map({(box68: Box) => box68.id }).indexOf(coll63, placeholder[Int](66)) == box55.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool34\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](71)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n ((coll58.size > placeholder[Int](72)) && (coll58(placeholder[Int](73))._1 == coll38)) && (box56.R9[Coll[Byte]].get == coll39)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box56.value >= l14 - placeholder[Long](77)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool34\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c937e507aae70a80be050f52751b829b804f3aaad973507e191598a4f2ca5e18",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e28978fddeccb20639e9f340216649ce6523d77e6b2e9c174b287dbbadbbf4227bd019bfcf52c3ab813",
"sigmaType": "Coll[SByte]",
"renderedValue": "978fddeccb20639e9f340216649ce6523d77e6b2e9c174b287dbbadbbf4227bd019bfcf52c3ab813"
},
"R7": {
"serializedValue": "0e20f2f49d05be3e86d4f2f322abb127e799f858062f7130580e109588b854785287",
"sigmaType": "Coll[SByte]",
"renderedValue": "f2f49d05be3e86d4f2f322abb127e799f858062f7130580e109588b854785287"
},
"R9": {
"serializedValue": "1108f0153c108087a70e00f8c7d001641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400,30,8,15000000,0,1708540,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
}
],
"dataInputs": [
{
"boxId": "377c3437e75e9c0632df8071395e436b6d516ff5d00d5b8440e493ea175afd24",
"value": 1000000,
"index": 0,
"outputBlockId": "cace7d54d0adaa193eab01ce9b93c0131eb1685495297a007745b2bcf19d2589",
"outputTransactionId": "f67500ee8f6b59da22d1a55384cd246b4a20ac35ab9fd5c1595867014b71cab1",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05a4bcd001",
"sigmaType": "SLong",
"renderedValue": "1707794"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
}
],
"outputs": [
{
"boxId": "9640cf6990b5fb36484f78d495d54573b56c3db403ce533fccfd20e9f19275d7",
"transactionId": "a1295028c9d472b5c60d2c5ee1d6618a0f878df12242b2d58c55bb29ae8650ca",
"blockId": "4d7701ad859a87cd4c5d68068404efc259f75fb3f24a61f9c36920f78ccafa01",
"value": 301496037,
"index": 0,
"globalIndex": 53208422,
"creationHeight": 1708581,
"settlementHeight": 1708583,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2015c9b09840eef43c5d8b45e7a7b2ae6ab3ed3ef2a92cfe6c1ea17ba37737c53a",
"sigmaType": "Coll[SByte]",
"renderedValue": "15c9b09840eef43c5d8b45e7a7b2ae6ab3ed3ef2a92cfe6c1ea17ba37737c53a"
}
},
"spentTransactionId": "9f315c78f572a7300456e2b81d392de474f3865f183cb40c21897afe085be84e",
"mainChain": true
},
{
"boxId": "704bbe7625d42d28c249f83727a690995fd43bb70b622f454ba56937fff82ab9",
"transactionId": "a1295028c9d472b5c60d2c5ee1d6618a0f878df12242b2d58c55bb29ae8650ca",
"blockId": "4d7701ad859a87cd4c5d68068404efc259f75fb3f24a61f9c36920f78ccafa01",
"value": 2000000,
"index": 1,
"globalIndex": 53208423,
"creationHeight": 1708581,
"settlementHeight": 1708583,
"ergoTree": "100f04000e200cc771c4fbe6b39c263b05483e7ba3da8fbc8e371e9387586a9c4120ed8182a3040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(12,-57,113,-60,-5,-26,-77,-100,38,59,5,72,62,123,-93,-38,-113,-68,-114,55,30,-109,-121,88,106,-100,65,32,-19,-127,-126,-93)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58S1ZeiBf9VYsg3SqCvh1J2Vdw5rivdgwD3syEBxR7Sjv3nLAum8Fthssmke4EhPHLwu7sry9byBnxWTZgwgf4haNbdqrKr8GHfz1FipEegfGB8hSdRp6kp3LJkrjMK7yRxBUeNS2pJDFV3DozGsjiNe6mUxYsnvNh9ovP1Mn9B1GVD8fYZsGxZ8FtVgWpvCSHme7mR6W3gBY3xFTyaDFw7yGjCvfW6pZRPf7wVEuZPYC56C2GEMY6yHBBvche4RLAVioEe2RwUjnGru5b4woCBPZwWZWnCbPKrFrKHZVXCb1XVmKzAo2WThJ4J17xUssgWXJy8Uy863",
"assets": [
{
"tokenId": "c937e507aae70a80be050f52751b829b804f3aaad973507e191598a4f2ca5e18",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7a8a23fd01d11cdf1515b12bc01c44184d3af62151326ae70764998cd74eaccb",
"mainChain": true
},
{
"boxId": "9e16bcab909447606a3a942dc840026516e331f7b92790de745d7e49efee5a7c",
"transactionId": "a1295028c9d472b5c60d2c5ee1d6618a0f878df12242b2d58c55bb29ae8650ca",
"blockId": "4d7701ad859a87cd4c5d68068404efc259f75fb3f24a61f9c36920f78ccafa01",
"value": 1000000,
"index": 2,
"globalIndex": 53208424,
"creationHeight": 1708581,
"settlementHeight": 1708583,
"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": "b5f7311d9f69368b40034e35872cd174f743fc414b18188b97631f6673ffb3f9",
"mainChain": true
}
],
"size": 623,
"isUnconfirmed": false
}