Transaction
ID: 005bc69f5b...eac9
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
4,628.18 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
29.17 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
18.44 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.07 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4,628.18 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
47.6 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.08 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005718886 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 435,216
Total coins transferred: 4,676.86 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000182 ERG
Raw Transaction Data
{
"id": "005bc69f5bec2426ed9906d41125cf6de55ec3402cee4c76364f3ab3d02eeac9",
"blockId": "6de245275c77e623bdeb8b09ae20176b14d521bc949a5fcd7ecafd74492c3250",
"inclusionHeight": 1324464,
"timestamp": 1722978207367,
"index": 18,
"globalIndex": 7614012,
"numConfirmations": 435216,
"inputs": [
{
"boxId": "5eb8515c2aaf0a31c0a56178d8c1028311dba82fe141c1f27042a5f166412a1f",
"value": 4628181000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d45c8cab056f7bed79a1572602c7e9d48443238c2dccdcbbaa346d2db1886898",
"outputTransactionId": "fb9b080671801777dd9f600eb5627b68fd565c78dadf9e125043ffeaf5851400",
"outputIndex": 0,
"outputGlobalIndex": 41995063,
"outputCreatedAt": 1324459,
"outputSettledAt": 1324461,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val l32 = tuple12._1\n val coll33 = prop10.propBytes\n val coll34 = SELF.R7[Coll[Long]].get\n val coll35 = box2.R7[Coll[Long]].get\n val coll36 = SELF.R8[Coll[Long]].get\n val coll37 = box2.R8[Coll[Long]].get\n val l38 = SELF.R9[Long].get\n val l39 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi40 = tuple8._1 - l17.toBigInt\n val bi41 = placeholder[BigInt](7)\n val bi42 = placeholder[BigInt](8)\n val bi43 = l23 - placeholder[Long](9).toBigInt\n val bi44 = tuple8._2 - l20.toBigInt\n val opt45 = getVar[SigmaProp](0.toByte)\n val bi46 = min(\n placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n )\n val bi47 = bi41 - bi46\n val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n }\n val bi51 = placeholder[BigInt](13) * bi50 / bi42\n val bi52 = placeholder[BigInt](14)\n val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n val coll56 = if (bool31 || bool30) {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n }\n } else {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n }\n }\n val tuple57 = coll56(placeholder[Int](19))\n val bi58 = tuple57._2\n val tuple59 = coll56(placeholder[Int](20))\n val bi60 = tuple59._2\n val box61 = OUTPUTS(placeholder[Int](21))\n val coll62 = tuple59._1\n val bool63 = bi60 > bi52\n val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n val coll64 = box61.propositionBytes\n val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool25) {(\n val bi67 = l24 - l23.toBigInt\n val bi68 = bi41 - bi41 / bi42\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n 37\n ), bool64, bool65\n )\n )\n )\n )} else { if (bool28) {(\n val bi67 = l23 - l24.toBigInt\n val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n )} else { if (bool30) {(\n val l67 = l21 - l20\n val bi68 = func66(coll37)\n val bi69 = func66(coll35)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n val bool71 = i70 == placeholder[Int](41)\n val bool72 = i70 > placeholder[Int](42)\n val i73 = placeholder[Int](43) - i70\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n )} else { if (bool31) {(\n val l67 = l18 - l17\n val bi68 = func66(coll35)\n val bi69 = func66(coll37)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n val bool72 = i71 == placeholder[Int](76)\n val bool73 = i71 > placeholder[Int](77)\n val i74 = placeholder[Int](78) - i71\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](110)) }\n }\n}",
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],
"additionalRegisters": {
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},
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{
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"index": 27,
"amount": 500,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "694200e819b76d6f636d7d24004b7ec992a0832e56c65654a9a3db87e8afbce8",
"index": 28,
"amount": 1383379886,
"name": "rsn",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "d00daaaafb51fca1294639bb658b61e6f168f0afc8b42151753f6a1fe7bc7e8d",
"index": 29,
"amount": 4,
"name": "soon™",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bee120e2890bada8b4ddbaf79025b8fde23d757a8b1d1ed991ef1647d7290e1b",
"index": 30,
"amount": 20,
"name": "🍻",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59c89cfe89879d8a64acbbca1a23b608ffbec8cb40f5888416c403c87320cd38",
"index": 31,
"amount": 1,
"name": "Smokey",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 32,
"amount": 88985000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "645761deb182de1099fe0b7c77cea1fda23b432b2794251bcc3fd9232a38a14b",
"value": 18438586439,
"index": 2,
"spendingProof": "434b591be13aa3ef2b13ef692ab4cd6f90940cecc1100db0f60ba435bfcccc737856edf3704a795b7c1c3387126dda7004407c07b944a225",
"outputBlockId": "d45c8cab056f7bed79a1572602c7e9d48443238c2dccdcbbaa346d2db1886898",
"outputTransactionId": "fb9b080671801777dd9f600eb5627b68fd565c78dadf9e125043ffeaf5851400",
"outputIndex": 1,
"outputGlobalIndex": 41995064,
"outputCreatedAt": 1324459,
"outputSettledAt": 1324461,
"ergoTree": "0008cd03e222b39986fd8529b730dc9896a7a80b094e03fa67b47884d5d8c91493b5abd3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e222b3,7d173c,...)))}",
"address": "9iBQ29f7NHJVEzxw3zMiXGSeRAdchwa7vmj4ZF5M6gC3DP24Sid",
"assets": [
{
"tokenId": "29cf7bfcb987910574c058c82973fc19f798be5306cf47908fa8f3250f540e6f",
"index": 0,
"amount": 10,
"name": "USE R9 TO COMMUNICATE",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
"index": 1,
"amount": 9675174,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 2,
"amount": 3940601,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "1074586ffe83020c0a7cec27a2d3ccfe296519878ccc46e022cb389f214e23a9",
"value": 1073182709,
"index": 3,
"spendingProof": null,
"outputBlockId": "a8cd4d1ea94abc2a460e52bae3e187f87037701eee23f413bbb11629feda6122",
"outputTransactionId": "13dae597779fa2e1e9e1c95e9beb1788569ceadb2cd6440a3dc19d68179aa480",
"outputIndex": 2,
"outputGlobalIndex": 41990273,
"outputCreatedAt": 1324413,
"outputSettledAt": 1324415,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 1\n5: 0\n6: Coll(-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104)\n7: 2\n8: 0\n9: 0\n10: 0\n11: 1\n12: Coll(123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7)\n13: 0\n14: 2\n15: 100\n16: 105\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: Coll(60,69,-14,-102,81,101,-80,48,-3,-75,-22,-11,-40,31,-127,8,-7,-40,-11,7,-77,20,-121,-35,81,-12,-82,8,-2,7,-49,74)\n28: 0\n29: 1\n30: 1\n31: 1\n32: 30\n33: 0\n34: Coll(97,-125,104,11,28,76,-86,-8,-19,-24,-58,13,-59,18,-114,56,65,123,-59,-74,86,50,19,-120,-78,43,-86,67,-87,-47,80,-62)\n35: false\n36: 2",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n if (i1 == placeholder[Int](0)) {(\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val box4 = OUTPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val l7 = coll5(placeholder[Int](3))._2 - coll6(placeholder[Int](4))._2\n val l8 = SELF.value - box4.value\n val l9 = box2.value\n sigmaProp(\n (\n (\n (coll3(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) && OUTPUTS.slice(placeholder[Int](7), OUTPUTS.size).forall(\n {(box10: Box) => box10.tokens.size == placeholder[Int](8) }\n )\n ) && ((coll5(placeholder[Int](9))._1 == coll6(placeholder[Int](10))._1) && (coll5(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)))\n ) && (\n ((l7 > placeholder[Long](13)) && (l8 <= l9 / coll3(placeholder[Int](14))._2 * l7 / placeholder[Long](15) * placeholder[Long](16))) && (\n OUTPUTS(placeholder[Int](17)).value - l9 == l8\n )\n )\n )\n )} else { if (i1 == placeholder[Int](18)) {(\n val box2 = OUTPUTS(placeholder[Int](19))\n sigmaProp(((box2.tokens == SELF.tokens) && (box2.propositionBytes == SELF.propositionBytes)) && (SELF.value < box2.value))\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](20))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](21))\n val box6 = INPUTS(placeholder[Int](22))\n val coll7 = box6.tokens\n sigmaProp(((((coll3(placeholder[Int](23)) == coll4(placeholder[Int](24))) && (coll3(placeholder[Int](25))._1 == tuple5._1)) && (box2.propositionBytes == SELF.propositionBytes)) && (SELF.value == box2.value)) && ((coll7(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27)) && (OUTPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._2 >= coll7(placeholder[Int](30))._2 + tuple5._2 - placeholder[Long](31) - INPUTS.filter({(box8: Box) => if (box8.R6[Long].isDefined) { ((box8.creationInfo._1 >= HEIGHT - placeholder[Int](32)) && (box8.tokens(placeholder[Int](33))._1 == placeholder[Coll[Byte]](34))) && (box8.R5[Int].get == box6.R5[Int].get) } else { placeholder[Boolean](35) } }).size * placeholder[Int](36).toLong)))\n )} }\n}",
"address": "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",
"assets": [
{
"tokenId": "119a068a0119670de8a5d2467da33df572903c64aaa7b6ea4c9668ef0cfe0325",
"index": 0,
"amount": 1,
"name": "gortBuyback",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7ba2a85fdb302a181578b1f64cb4a533d89b3f8de4159efece75da41041537f9",
"index": 1,
"amount": 8,
"name": "GORT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5e44e8a7e4c626a61ac0369c5d6b757e99fa65854ffbf0d5bc457ad7e63d2982",
"value": 10000000,
"index": 0,
"outputBlockId": "d45c8cab056f7bed79a1572602c7e9d48443238c2dccdcbbaa346d2db1886898",
"outputTransactionId": "2d5f35506f7fdc93fb10682aafeda6fb8659a84b93a16ea16ed047c7b532a22a",
"outputIndex": 0,
"ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6PqzhnRzKkXN48Rr2SNWspChGAVUHFtGjhNK7dzGm3VeJdkgvzySx5uSWsyekihaxdVpuvhz4MqNZjU8FkwYZUzUC8AL3pFNifisCSrLywNWehhxGz8EJpyuCdtofhUFVw6qNEsvCP2",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0594daf2f3faad2c",
"sigmaType": "SLong",
"renderedValue": "97546613446282"
},
"R5": {
"serializedValue": "04ba70",
"sigmaType": "SInt",
"renderedValue": "7197"
}
}
}
],
"outputs": [
{
"boxId": "51426dc1a2541aafb44ed9a86652474fa25d80c16e5f0c66f4103b2c8c83ecdf",
"transactionId": "005bc69f5bec2426ed9906d41125cf6de55ec3402cee4c76364f3ab3d02eeac9",
"blockId": "6de245275c77e623bdeb8b09ae20176b14d521bc949a5fcd7ecafd74492c3250",
"value": 4628181000000,
"index": 0,
"globalIndex": 41995185,
"creationHeight": 1324462,
"settlementHeight": 1324464,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val l32 = tuple12._1\n val coll33 = prop10.propBytes\n val coll34 = SELF.R7[Coll[Long]].get\n val coll35 = box2.R7[Coll[Long]].get\n val coll36 = SELF.R8[Coll[Long]].get\n val coll37 = box2.R8[Coll[Long]].get\n val l38 = SELF.R9[Long].get\n val l39 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi40 = tuple8._1 - l17.toBigInt\n val bi41 = placeholder[BigInt](7)\n val bi42 = placeholder[BigInt](8)\n val bi43 = l23 - placeholder[Long](9).toBigInt\n val bi44 = tuple8._2 - l20.toBigInt\n val opt45 = getVar[SigmaProp](0.toByte)\n val bi46 = min(\n placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n )\n val bi47 = bi41 - bi46\n val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n }\n val bi51 = placeholder[BigInt](13) * bi50 / bi42\n val bi52 = placeholder[BigInt](14)\n val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n val coll56 = if (bool31 || bool30) {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n }\n } else {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n }\n }\n val tuple57 = coll56(placeholder[Int](19))\n val bi58 = tuple57._2\n val tuple59 = coll56(placeholder[Int](20))\n val bi60 = tuple59._2\n val box61 = OUTPUTS(placeholder[Int](21))\n val coll62 = tuple59._1\n val bool63 = bi60 > bi52\n val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n val coll64 = box61.propositionBytes\n val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool25) {(\n val bi67 = l24 - l23.toBigInt\n val bi68 = bi41 - bi41 / bi42\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n 37\n ), bool64, bool65\n )\n )\n )\n )} else { if (bool28) {(\n val bi67 = l23 - l24.toBigInt\n val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n )} else { if (bool30) {(\n val l67 = l21 - l20\n val bi68 = func66(coll37)\n val bi69 = func66(coll35)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n val bool71 = i70 == placeholder[Int](41)\n val bool72 = i70 > placeholder[Int](42)\n val i73 = placeholder[Int](43) - i70\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n )} else { if (bool31) {(\n val l67 = l18 - l17\n val bi68 = func66(coll35)\n val bi69 = func66(coll37)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n val bool72 = i71 == placeholder[Int](76)\n val bool73 = i71 > placeholder[Int](77)\n val i74 = placeholder[Int](78) - i71\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](110)) }\n }\n}",
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],
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"decimals": 0,
"type": "EIP-004"
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e755f,758c41,...)))}",
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"mainChain": true
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{
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"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)}",
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"mainChain": true
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{
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"index": 5,
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"ergoTree": "0008cd03e222b39986fd8529b730dc9896a7a80b094e03fa67b47884d5d8c91493b5abd3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e222b3,7d173c,...)))}",
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"mainChain": true
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}