Transaction
ID: 91c26ed940...eba6
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
19,134.89 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1,258.31 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00120312 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
12.25 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
19,134.89 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1,258.06 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
12.3 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 119,858
Total coins transferred: 20,405.46 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000214 ERG
Raw Transaction Data
{
"id": "91c26ed940ff06893ecea0decdf40b30117d2a99700bb28944c0c41446a6eba6",
"blockId": "0cde2d48e8fbb2d90c9a6ab944c919dd39162877de06aac086cac9c389cbc984",
"inclusionHeight": 1643072,
"timestamp": 1761558494838,
"index": 9,
"globalIndex": 9694850,
"numConfirmations": 119858,
"inputs": [
{
"boxId": "d4958f8292f30c9a7e10ec403dd6e0064a966d267f192f776ea44e8624366416",
"value": 19134894357912,
"index": 0,
"spendingProof": null,
"outputBlockId": "247fa1e2e2dc5c909864890f29f4d8267127cf62a31164c76fe9f929349fb179",
"outputTransactionId": "76fed7795f965ca7f32ab894a6fc6171f89d0d5f5a9a960deda83da0e4d19446",
"outputIndex": 0,
"outputGlobalIndex": 51071058,
"outputCreatedAt": 1639591,
"outputSettledAt": 1640481,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\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: 35\n38: 0\n39: 0\n40: 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)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: 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 box32 = CONTEXT.dataInputs(placeholder[Int](7))\n val l33 = tuple12._1\n val coll34 = prop10.propBytes\n val coll35 = SELF.R7[Coll[Long]].get\n val coll36 = box2.R7[Coll[Long]].get\n val coll37 = SELF.R8[Coll[Long]].get\n val coll38 = box2.R8[Coll[Long]].get\n val l39 = SELF.R9[Long].get\n val l40 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi41 = tuple8._1 - l17.toBigInt\n val bi42 = placeholder[BigInt](8)\n val bi43 = placeholder[BigInt](9)\n val bi44 = l23 - placeholder[Long](10).toBigInt\n val bi45 = tuple8._2 - l20.toBigInt\n val opt46 = getVar[SigmaProp](0.toByte)\n val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n val bi48 = bi42 - bi47\n val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n }\n val bi52 = placeholder[BigInt](13) * bi51 / bi43\n val bi53 = placeholder[BigInt](14)\n val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n val coll57 = if (bool31 || bool30) {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n }\n } else {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n }\n }\n val tuple58 = coll57(placeholder[Int](19))\n val bi59 = tuple58._2\n val tuple60 = coll57(placeholder[Int](20))\n val bi61 = tuple60._2\n val box62 = OUTPUTS(placeholder[Int](21))\n val coll63 = tuple60._1\n val bool64 = bi61 > bi53\n val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n val coll65 = box62.propositionBytes\n val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n val i68 = HEIGHT - box32.creationInfo._1\n val bool69 = allOf(\n Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n )\n if (bool25) {(\n val bi70 = l24 - l23.toBigInt\n val bi71 = bi42 - bi42 / bi43\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n 41\n ), bool65, bool66\n )\n )\n )\n )} else { if (bool28) {(\n val bi70 = l23 - l24.toBigInt\n val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n )} else { if (bool30) {(\n val l70 = l21 - l20\n val bi71 = func67(coll38)\n val bi72 = func67(coll36)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n val bool74 = i73 == placeholder[Int](45)\n val bool75 = i73 > placeholder[Int](46)\n val i76 = placeholder[Int](47) - i73\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n )} else { if (bool31) {(\n val l70 = l18 - l17\n val bi71 = func67(coll36)\n val bi72 = func67(coll38)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n val bool75 = i74 == placeholder[Int](80)\n val bool76 = i74 > placeholder[Int](81)\n val i77 = placeholder[Int](82) - i74\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](114)) }\n }\n}",
"address": "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",
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"outputCreatedAt": 1636004,
"outputSettledAt": 1638012,
"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": 13,
"name": "GORT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "aaf636a33d1207a09441c21ff5e581faa9f4fdd2d528788ad7cf5894439da262",
"value": 10000000,
"index": 0,
"outputBlockId": "eea60a56282fbbb8b6be6fb1ac7d7d0a61615d1a1659fc043525a49903119b5d",
"outputTransactionId": "ce34dd8552230421e4c2ff27e8a0b13aeab27d70b54437ec5fb438223a2fd345",
"outputIndex": 0,
"ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6PqzhnRzKkXN48Rr2SNWspChGAVUHFtGjhNK7dzGm3VeJdkgvzySx5uSWsyekihaxdVpuvhz4MqNZjU8FkwYZUzUC8AL3pFNifisCSrLywNWehhxGz8EJpyuCdtofhUFVw6qNEsvCP2",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0590e7b1b3d1cb50",
"sigmaType": "SLong",
"renderedValue": "177221276154312"
},
"R5": {
"serializedValue": "04ca9002",
"sigmaType": "SInt",
"renderedValue": "17445"
}
}
}
],
"outputs": [
{
"boxId": "88658fd7ba6dbbff8ae1eb8c9cbed9ba648d190bf107dca25a5f20a02ff8063a",
"transactionId": "91c26ed940ff06893ecea0decdf40b30117d2a99700bb28944c0c41446a6eba6",
"blockId": "0cde2d48e8fbb2d90c9a6ab944c919dd39162877de06aac086cac9c389cbc984",
"value": 19134894357912,
"index": 0,
"globalIndex": 51150891,
"creationHeight": 1643066,
"settlementHeight": 1643072,
"ergoTree": 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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\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: 35\n38: 0\n39: 0\n40: 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)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: 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 box32 = CONTEXT.dataInputs(placeholder[Int](7))\n val l33 = tuple12._1\n val coll34 = prop10.propBytes\n val coll35 = SELF.R7[Coll[Long]].get\n val coll36 = box2.R7[Coll[Long]].get\n val coll37 = SELF.R8[Coll[Long]].get\n val coll38 = box2.R8[Coll[Long]].get\n val l39 = SELF.R9[Long].get\n val l40 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi41 = tuple8._1 - l17.toBigInt\n val bi42 = placeholder[BigInt](8)\n val bi43 = placeholder[BigInt](9)\n val bi44 = l23 - placeholder[Long](10).toBigInt\n val bi45 = tuple8._2 - l20.toBigInt\n val opt46 = getVar[SigmaProp](0.toByte)\n val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n val bi48 = bi42 - bi47\n val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n }\n val bi52 = placeholder[BigInt](13) * bi51 / bi43\n val bi53 = placeholder[BigInt](14)\n val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n val coll57 = if (bool31 || bool30) {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n }\n } else {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n }\n }\n val tuple58 = coll57(placeholder[Int](19))\n val bi59 = tuple58._2\n val tuple60 = coll57(placeholder[Int](20))\n val bi61 = tuple60._2\n val box62 = OUTPUTS(placeholder[Int](21))\n val coll63 = tuple60._1\n val bool64 = bi61 > bi53\n val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n val coll65 = box62.propositionBytes\n val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n val i68 = HEIGHT - box32.creationInfo._1\n val bool69 = allOf(\n Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n )\n if (bool25) {(\n val bi70 = l24 - l23.toBigInt\n val bi71 = bi42 - bi42 / bi43\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n 41\n ), bool65, bool66\n )\n )\n )\n )} else { if (bool28) {(\n val bi70 = l23 - l24.toBigInt\n val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n )} else { if (bool30) {(\n val l70 = l21 - l20\n val bi71 = func67(coll38)\n val bi72 = func67(coll36)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n val bool74 = i73 == placeholder[Int](45)\n val bool75 = i73 > placeholder[Int](46)\n val i76 = placeholder[Int](47) - i73\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n )} else { if (bool31) {(\n val l70 = l18 - l17\n val bi71 = func67(coll36)\n val bi72 = func67(coll38)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n val bool75 = i74 == placeholder[Int](80)\n val bool76 = i74 > placeholder[Int](81)\n val i77 = placeholder[Int](82) - i74\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](114)) }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "797e331df22c5cfd0aae654703ebc12dcbcba99b80d32e2b7e151eac2d27b6fa",
"index": 0,
"amount": 1,
"name": "GluonW NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
"index": 1,
"amount": 99999935419363800,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 2,
"amount": 99999973699574380,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "08cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
"sigmaType": "SSigmaProp",
"renderedValue": "03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467"
},
"R6": {
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},
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{
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"index": 0,
"amount": 1,
"name": "gortBuyback",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 13,
"name": "GORT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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},
{
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"ergoTree": "0008cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdb0b7,ad001f,...)))}",
"address": "9huM5LVa7b8uAUGgzDGDCHUdRe4L1j4SQ6kHXC1JVVbL1RSNCmd",
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"spentTransactionId": null,
"mainChain": true
},
{
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"value": 1000000,
"index": 4,
"globalIndex": 51150895,
"creationHeight": 1643066,
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"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)}",
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"additionalRegisters": {},
"spentTransactionId": "ccfe6aa8ff5cfd2172fe697945ea04afd56c9fe53ff13bb1f1eef5fa6ede646a",
"mainChain": true
}
],
"size": 4676,
"isUnconfirmed": false
}