Transaction
ID: c3bd5cfb2d...6a3e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.657957123 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0031 ERG
Tokens:
200.01
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
10.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.655757123 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 861,740
Total coins transferred: 0.661057123 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000299 ERG
Raw Transaction Data
{
"id": "c3bd5cfb2da2af97107ca2d033e2976911bbf0f6b0f3f5849b7f5e254c496a3e",
"blockId": "d0e47ac9b15f2f96d88409158698fb03f7eab37bdf41403dbf521445972cca1c",
"inclusionHeight": 912513,
"timestamp": 1673023194324,
"index": 8,
"globalIndex": 4573151,
"numConfirmations": 861740,
"inputs": [
{
"boxId": "4dad7f61c211dbc6bbd67200414f1ac808ea0b874caa99b3bd5fe2e178f9ed59",
"value": 657957123,
"index": 0,
"spendingProof": "2bda0aa59e3e62e4d680d121c3134ec903056140acfdffb3e9a1aa8a53c10af779bbef84e421a5fa8fd774fee6b022c987047ea9e779b997",
"outputBlockId": "a560ab72e3d829df476ee6154b88c4eaafd8d7e07ac920c7244651bb6b0368f7",
"outputTransactionId": "9c65051546be0e30ee38108300e162526a37242bc3c347e7cc9046c6f94968a4",
"outputIndex": 2,
"outputGlobalIndex": 23492348,
"outputCreatedAt": 872126,
"outputSettledAt": 872148,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 63,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 37,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b092706df3923666a71717bf158b4e1f1acecb1567d12ded1045baa2a89aa",
"index": 2,
"amount": 1,
"name": "CYTI Blob 9/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b069c8e9c850454bed4bc7a32353c4d54e3cb7e62b6b89e85058b522363e8",
"index": 3,
"amount": 1,
"name": "CYTI Blob 6/10",
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"type": "EIP-004"
},
{
"tokenId": "b10b0356aae5fbf56ec4c29c52e4c73e2699d3432768f0f9eb39fd79ea7f7d10",
"index": 4,
"amount": 1,
"name": "CYTI Blob 3/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0560d9af6b75b80d071814623ac4698246276cbe99f5dd60901a6dd7b430",
"index": 5,
"amount": 1,
"name": "CYTI Blob 5/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0000001ad3eddecada595ce5419e60b1f992b503a5ae5fe16ccef88587f39574",
"index": 6,
"amount": 12,
"name": "Token12",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00000000e78ce4d38b8eaf4a46c97adaecd2b51070b42c8b7bb635a2432915d7",
"index": 7,
"amount": 10,
"name": "Tokenim",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b04c8763b5114e5dd82264ceba96a0c6f0417fe7ee1f4daf968ebe0c2d85e",
"index": 8,
"amount": 1,
"name": "CYTI Blob 4/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b07e07c19a77f7d984a19c4f55e7b5d412a03869f5ff6417dfd90e553ea07",
"index": 9,
"amount": 1,
"name": "CYTI Blob 7/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "222229994a60d3658d6a8ed7ad08c47bbac9d9c7e6542813f4b822c6cc44e8bf",
"index": 10,
"amount": 1,
"name": "Token 2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "666666df2155ee301114ca799eb6023d54b46de8fca136171194e3ff870aa2ff",
"index": 11,
"amount": 100,
"name": "Tokent6",
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"type": "EIP-004"
},
{
"tokenId": "b10b08b8213d483d6cb44811237d972da7be6a81c869b391d2fc6cb0d188cb05",
"index": 12,
"amount": 1,
"name": "CYTI Blob 8/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 13,
"amount": 2,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 14,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 15,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 16,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 17,
"amount": 1187,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b108fbbacae9f2c61960f50bb58072c3e007b2ee8e1f98a24eabcba9a1403",
"index": 18,
"amount": 1,
"name": "CYTI Blob 10/10",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "cd9aa216c6ef259532787c27a69b6d04b4d1edd554bb4a01393b27149f1aa364",
"value": 3100000,
"index": 1,
"spendingProof": "dcb0c5ddfffda5a4a0c6049003501a6ebbd8e486a52b6039180b49a3b0363846d6265d973327a6986abe14f467651549420bb6c749b3ccb0",
"outputBlockId": "56d4fe3fef1bc68a89ef970c0ccc04ec279e1a3e347622e6ee925c7f19815f72",
"outputTransactionId": "f62e6de42d9debe90010127d6db22fd1dfdc1e6751918f10d329087e4ef1a3f7",
"outputIndex": 0,
"outputGlobalIndex": 25321393,
"outputCreatedAt": 912446,
"outputSettledAt": 912448,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 20001,
"name": "fakeUSD",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
},
"R6": {
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},
"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1,2,1673049600000,500,500,300,772999999,5,1000000]"
},
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},
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"sigmaType": "SSigmaProp",
"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "43414c4c5f66616b655553445f4552475f3737323939393939395f323032332d30312d30375f7065725f32"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8a271d56e219402d03054ae90f7e30af1cd88d579aad41a25e2caf74aa8fc607",
"transactionId": "c3bd5cfb2da2af97107ca2d033e2976911bbf0f6b0f3f5849b7f5e254c496a3e",
"blockId": "d0e47ac9b15f2f96d88409158698fb03f7eab37bdf41403dbf521445972cca1c",
"value": 4200000,
"index": 0,
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"creationHeight": 912511,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(119,119,119,-27,5,31,-118,107,-61,8,39,-18,65,-35,57,-32,75,-54,29,-70,53,35,107,-102,38,-76,-108,-32,-70,-56,79,51)\n4: 0\n5: 0\n6: false\n7: 0\n8: 1\n9: 2\n10: 0\n11: 2100000\n12: 1\n13: 100\n14: 1\n15: 1\n16: 1\n17: Coll(48)\n18: Coll(48)\n19: false\n20: 6\n21: 0\n22: 0\n23: 0\n24: 86400000\n25: 2\n26: 1\n27: 3\n28: 86400000\n29: 2\n30: 1\n31: 1\n32: false\n33: 8\n34: 0\n35: 2\n36: 1100000\n37: 2\n38: 0\n39: false\n40: 14400000\n41: 2\n42: 5\n43: 1\n44: 0\n45: 0\n46: 0\n47: 0\n48: 3600000\n49: 1897\n50: 7200000\n51: 2683\n52: 10800000\n53: 3286\n54: 14400000\n55: 3795\n56: 43200000\n57: 6573\n58: 86400000\n59: 9295\n60: 172800000\n61: 13145\n62: 259200000\n63: 16100\n64: 432000000\n65: 20785\n66: 604800000\n67: 24593\n68: 864000000\n69: 29394\n70: 1296000000\n71: 36000\n72: 1728000000\n73: 41569\n74: 2592000000\n75: 50912\n76: 3888000000\n77: 62354\n78: 5184000000\n79: 72000\n80: 6480000000\n81: 80498\n82: 7776000000\n83: 88182\n84: 10368000000\n85: 101823\n86: 12960000000\n87: 113842\n88: 15552000000\n89: 124708\n90: 18144000000\n91: 134700\n92: 20736000000\n93: 144000\n94: 23328000000\n95: 152735\n96: 25920000000\n97: 160997\n98: 28512000000\n99: 168855\n100: 31536000000\n101: 177584\n102: 39420000000\n103: 198545\n104: 47304000000\n105: 217495\n106: 55188000000\n107: 234921\n108: 63072000000\n109: 251141\n110: 70956000000\n111: 266376\n112: 78840000000\n113: 280785\n114: 86724000000\n115: 294489\n116: 94608000000\n117: 307584\n118: 1\n119: 0\n120: 1\n121: 0\n122: 1\n123: 4\n124: 3\n125: 1775840000\n126: 0\n127: 4\n128: 1000\n129: 5\n130: 177584000\n131: 1000000\n132: 1000000\n133: 7\n134: 1000\n135: 0\n136: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n137: 1\n138: 1100000\n139: 1\n140: 2\n141: 2\n142: 2\n143: 0\n144: 3\n145: 3\n146: 3\n147: 0\n148: 4\n149: 1100000\n150: 4\n151: 0\n152: false\n153: 2\n154: 4\n155: 0\n156: 1\n157: 2\n158: 2\n159: 2\n160: 0\n161: 3\n162: 1100000\n163: 3\n164: 0\n165: false\n166: 2\n167: 2\n168: 1100000\n169: 1\n170: 0\n171: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val l4 = tuple3._2\n val tuple5 = coll1.getOrElse(placeholder[Int](2), tuple2)\n val l6 = tuple5._2\n val coll7 = placeholder[Coll[Byte]](3)\n val bool8 = if ((l4 > placeholder[Long](4)) && (l6 > placeholder[Long](5))) {\n ((tuple3._1 == coll7) && (tuple5._1 == SELF.R7[Box].get.id)) && (SELF.propositionBytes == SELF.R7[Box].get.propositionBytes)\n } else { placeholder[Boolean](6) }\n val box9 = if (bool8) { SELF.R7[Box].get } else { SELF }\n val prop10 = box9.R9[SigmaProp].get\n val bool11 = !bool8\n val box12 = OUTPUTS(placeholder[Int](7))\n val coll13 = box12.propositionBytes\n val coll14 = SELF.propositionBytes\n val box15 = OUTPUTS(placeholder[Int](8))\n val coll16 = box9.R8[Coll[Long]].get\n val l17 = coll16(placeholder[Int](9))\n val l18 = CONTEXT.preHeader.timestamp\n val l19 = l17 - l18\n val coll20 = box12.tokens\n val tuple21 = coll20.getOrElse(placeholder[Int](10), tuple2)\n val coll22 = tuple21._1\n val l23 = box12.value\n val bool24 = l23 >= placeholder[Long](11)\n val l25 = tuple21._2\n val l26 = coll16(placeholder[Int](12))\n val l27 = l26 * placeholder[Long](13)\n val tuple28 = coll20.getOrElse(placeholder[Int](14), tuple2)\n val l29 = tuple28._2\n val coll30 = box9.id\n val bool31 = if (coll13 == coll14) {\n (\n (\n (\n ((((bool24 && (coll22 == coll7)) && (l25 >= placeholder[Long](15))) && (tuple28._1 == coll30)) && (l29 >= placeholder[Long](16))) && (\n box12.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get\n )\n ) && (box12.R5[Coll[Byte]].get == placeholder[Coll[Byte]](17))\n ) && (box12.R6[Coll[Byte]].get == placeholder[Coll[Byte]](18))\n ) && (box12.R7[Box].get == box9)\n } else { placeholder[Boolean](19) }\n val coll32 = box9.R5[Coll[Byte]].get\n val coll33 = box15.tokens\n val bool34 = l18 <= l17\n val l35 = SELF.value\n val l36 = coll16(placeholder[Int](20))\n val bool37 = coll16(placeholder[Int](21)) == placeholder[Long](22)\n val tuple38 = coll33.getOrElse(placeholder[Int](23), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val coll41 = prop10.propBytes\n val bool42 = l18 > l17\n val bool43 = if (bool37) { (bool8 && bool42) && (l18 < l17 + placeholder[Long](24)) } else { bool8 && bool34 }\n prop10 && sigmaProp(((bool11 && (OUTPUTS.size == placeholder[Int](25))) && (coll13 != coll14)) && (box15.propositionBytes != coll14)) || sigmaProp(\n (\n (\n if (((bool11 && (INPUTS.size == placeholder[Int](26))) && (OUTPUTS.size == placeholder[Int](27))) && (l19 >= placeholder[Long](28))) {\n (\n (\n (\n (\n (\n bool31 && if ((coll20.size == placeholder[Int](29)) && box12.R7[Box].isDefined) {\n (((bool24 && (coll22 == coll7)) && (l25 == l4)) && (l29 == l4 - placeholder[Long](30) / l27 + placeholder[Long](31))) && (\n box12.R7[Box].get == SELF\n )\n } else { placeholder[Boolean](32) }\n ) && (box15.propositionBytes == coll32)\n ) && (box15.value >= coll16(placeholder[Int](33)))\n ) && (coll33.size == placeholder[Int](34))\n ) && (OUTPUTS(placeholder[Int](35)).value == placeholder[Long](36))\n ) && (OUTPUTS(placeholder[Int](37)).tokens.size == placeholder[Int](38))\n } else { placeholder[Boolean](39) } || if ((\n ((bool34 && (!(bool34 && (l18 > l17 - placeholder[Long](40))))) && (INPUTS.size == placeholder[Int](41))) && (OUTPUTS.size == placeholder[Int](42))\n ) && (CONTEXT.dataInputs.size == placeholder[Int](43))) {(\n val box44 = CONTEXT.dataInputs(placeholder[Int](44))\n val l45 = l6 - l29\n val l46 = box44.R4[Long].get\n val l47 = l46 - l36\n val l48 = max(placeholder[Long](45), l47 * l26)\n val coll49 = Coll[(Long, Long)](\n (placeholder[Long](46), placeholder[Long](47)), (placeholder[Long](48), placeholder[Long](49)), (placeholder[Long](50), placeholder[Long](51)), (\n placeholder[Long](52), placeholder[Long](53)\n ), (placeholder[Long](54), placeholder[Long](55)), (placeholder[Long](56), placeholder[Long](57)), (placeholder[Long](58), placeholder[Long](59)), (\n placeholder[Long](60), placeholder[Long](61)\n ), (placeholder[Long](62), placeholder[Long](63)), (placeholder[Long](64), placeholder[Long](65)), (placeholder[Long](66), placeholder[Long](67)), (\n placeholder[Long](68), placeholder[Long](69)\n ), (placeholder[Long](70), placeholder[Long](71)), (placeholder[Long](72), placeholder[Long](73)), (placeholder[Long](74), placeholder[Long](75)), (\n placeholder[Long](76), placeholder[Long](77)\n ), (placeholder[Long](78), placeholder[Long](79)), (placeholder[Long](80), placeholder[Long](81)), (placeholder[Long](82), placeholder[Long](83)), (\n placeholder[Long](84), placeholder[Long](85)\n ), (placeholder[Long](86), placeholder[Long](87)), (placeholder[Long](88), placeholder[Long](89)), (placeholder[Long](90), placeholder[Long](91)), (\n placeholder[Long](92), placeholder[Long](93)\n ), (placeholder[Long](94), placeholder[Long](95)), (placeholder[Long](96), placeholder[Long](97)), (placeholder[Long](98), placeholder[Long](99)), (\n placeholder[Long](100), placeholder[Long](101)\n ), (placeholder[Long](102), placeholder[Long](103)), (placeholder[Long](104), placeholder[Long](105)), (\n placeholder[Long](106), placeholder[Long](107)\n ), (placeholder[Long](108), placeholder[Long](109)), (placeholder[Long](110), placeholder[Long](111)), (\n placeholder[Long](112), placeholder[Long](113)\n ), (placeholder[Long](114), placeholder[Long](115)), (placeholder[Long](116), placeholder[Long](117))\n )\n val i50 = coll49.map({(tuple50: (Long, Long)) => if (tuple50._1 >= l19) { placeholder[Long](118) } else { placeholder[Long](119) } }).indexOf(\n placeholder[Long](120), placeholder[Int](121)\n )\n val tuple51 = coll49(i50 - placeholder[Int](122))\n val l52 = tuple51._2\n val tuple53 = coll49(i50)\n val l54 = tuple51._1\n val l55 = l52 + tuple53._2 - l52 * l19 - l54 / tuple53._1 - l54\n val l56 = placeholder[Long](123) * coll16(placeholder[Int](124)) * l26 * l36 * l55 / placeholder[Long](125)\n val l57 = max(placeholder[Long](126), l56 - l56 * coll16(placeholder[Int](127)) * max(l47, l36 - l46) / placeholder[Long](128) * l36)\n val l58 = l45 * if (bool37) { l48 + l57 } else { l48 + l57 + l57 * coll16(placeholder[Int](129)) * l55 / placeholder[Long](130) }\n val l59 = max(placeholder[Long](131), l58)\n val l60 = max(placeholder[Long](132), l58 * coll16(placeholder[Int](133)) / placeholder[Long](134))\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box44.tokens(placeholder[Int](135))._1 == placeholder[Coll[Byte]](136)) && bool31) && (l23 == l35)) && (\n box12.R7[Box].get == box9\n )\n ) && (box15.value >= INPUTS(placeholder[Int](137)).value - placeholder[Long](138) - l59 - l60)\n ) && (coll33.size == placeholder[Int](139))\n ) && (coll39 == coll30)\n ) && (l40 == l45)\n ) && (OUTPUTS(placeholder[Int](140)).propositionBytes == coll41)\n ) && (OUTPUTS(placeholder[Int](141)).value >= l59)\n ) && (OUTPUTS(placeholder[Int](142)).tokens.size == placeholder[Int](143))\n ) && (OUTPUTS(placeholder[Int](144)).propositionBytes == coll32)\n ) && (OUTPUTS(placeholder[Int](145)).value >= l60)\n ) && (OUTPUTS(placeholder[Int](146)).tokens.size == placeholder[Int](147))\n ) && (OUTPUTS(placeholder[Int](148)).value == placeholder[Long](149))\n ) && (OUTPUTS(placeholder[Int](150)).tokens.size == placeholder[Int](151))\n )} else { placeholder[Boolean](152) }\n ) || if (((bool43 && (INPUTS.size == placeholder[Int](153))) && (OUTPUTS.size == placeholder[Int](154))) && (\n CONTEXT.dataInputs.size == placeholder[Int](155)\n )) {(\n val l44 = l4 - l25\n (\n (\n (\n (\n ((((bool31 && (l29 == l6)) && (coll39 == coll7)) && (l40 == l44)) && (coll33.size == placeholder[Int](156))) && (\n OUTPUTS(placeholder[Int](157)).propositionBytes == coll41\n )\n ) && (OUTPUTS(placeholder[Int](158)).value >= l44 / l27 * l36 * l26)\n ) && (OUTPUTS(placeholder[Int](159)).tokens.size == placeholder[Int](160))\n ) && (OUTPUTS(placeholder[Int](161)).value == placeholder[Long](162))\n ) && (OUTPUTS(placeholder[Int](163)).tokens.size == placeholder[Int](164))\n )} else { placeholder[Boolean](165) }\n ) || if (((bool42 && (!bool43)) && (coll1.size == placeholder[Int](166))) && (OUTPUTS.size == placeholder[Int](167))) {\n (((((coll13 == coll41) && (l23 == l35 - placeholder[Long](168))) && (coll20.size == placeholder[Int](169))) && (coll22 == coll7)) && (l25 == l4)) && (\n coll33.size == placeholder[Int](170)\n )\n } else { placeholder[Boolean](171) }\n )\n}",
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"assets": [
{
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}
],
"additionalRegisters": {
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},
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"sigmaType": null,
"renderedValue": null
},
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"sigmaType": "SSigmaProp",
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},
"spentTransactionId": "419f5319e6e8842f96bb9dfc56aa198dc19fce7c730b521a1231e2d80c785fe7",
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},
{
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"transactionId": "c3bd5cfb2da2af97107ca2d033e2976911bbf0f6b0f3f5849b7f5e254c496a3e",
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"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
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{
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{
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],
"additionalRegisters": {},
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{
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],
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}