Transaction
ID: 3e9a36cb1b...c5f5
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.032212 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.0306 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001612 ERG
Transaction Details
Confirmations: 732,100
Total coins transferred: 0.035812 ERG
Fees: 0.001612 ERG
Fees per byte: 0.000000142 ERG
Raw Transaction Data
{
"id": "3e9a36cb1bc66255dc59cd67d83311e2eef26cd15023114b596daf186dbcc5f5",
"blockId": "c3e3aa9f3ed0fad39eefc9a77991a226b8c195b418dc6f6604b0560d84db9c6b",
"inclusionHeight": 1042369,
"timestamp": 1688781255660,
"index": 1,
"globalIndex": 5493510,
"numConfirmations": 732100,
"inputs": [
{
"boxId": "437b7b0ff2a3874b0228682b16c44fe6977d5628c5ab451ec62ed76abba6afac",
"value": 32212000,
"index": 0,
"spendingProof": "c9205016fad7e919cba604114e640d121cfef82a833fc12c3c28e3cf38e8339e0d3a794bd4b79aab694a40376ec7a6768be87c85b4c5bd00",
"outputBlockId": "f05421c38ae951b42dccd6a400982aa82f8793f43891317d44b0d0967ab5aca0",
"outputTransactionId": "41455047f2cb7e5507be7fc30ca08fde8428c0ac05e5dcebe3eb7482c44350b8",
"outputIndex": 0,
"outputGlobalIndex": 30765585,
"outputCreatedAt": 1042366,
"outputSettledAt": 1042368,
"ergoTree": "100d04000e20ab6a9516dac0fcf5818ec80629e6e00e6d7c840f5691ea3a38812b82a506bdb501010502040204000580ad971d0400040004000502040008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98bd802d601b2a5730000d6027301ea02d1ed93c27201e4e3000e957302d802d603860272027303d604b2a57304009683050193b2db63087201730500720393c17204730693c27204e4e3010e93b2db630872047307007203938cb2db6308a77308000172029683020193b2db6308720173090086027202730a938cb2db6308a7730b00017202730c",
"ergoTreeConstants": "0: 0\n1: Coll(-85,106,-107,22,-38,-64,-4,-11,-127,-114,-56,6,41,-26,-32,14,109,124,-124,15,86,-111,-22,58,56,-127,43,-126,-91,6,-67,-75)\n2: true\n3: 1\n4: 1\n5: 0\n6: 30600000\n7: 0\n8: 0\n9: 0\n10: 1\n11: 0\n12: SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n sigmaProp((box1.propositionBytes == getVar[Coll[Byte]](0.toByte).get) && if (placeholder[Boolean](2)) {(\n val tuple3 = (coll2, placeholder[Long](3))\n val box4 = OUTPUTS(placeholder[Int](4))\n allOf(Coll[Boolean](box1.tokens(placeholder[Int](5)) == tuple3, box4.value == placeholder[Long](6), box4.propositionBytes == getVar[Coll[Byte]](1.toByte).get, box4.tokens(placeholder[Int](7)) == tuple3, SELF.tokens(placeholder[Int](8))._1 == coll2))\n )} else { allOf(Coll[Boolean](box1.tokens(placeholder[Int](9)) == (coll2, placeholder[Long](10)), SELF.tokens(placeholder[Int](11))._1 == coll2)) }) && placeholder[\n SigmaProp\n ](12)\n}",
"address": "3JX1r4CvFnVC5G7yA1ogyS2GcT1DWdbyRcQvGrsvWpsg2xzRPge4agupo56f6uU9ZYU578SmGQ9LTKASDdNGy1ML2s2SCrk64dKCHqL3ajDaf21roLyvkhT7jTzbaLaiwzwkewDi1FBZhsnn414pPfQuVoumM3UNAg19tZZUxseBTXHN9zNUpNnzrih6iEfdRA1NWVoSgrX8Dxoj81wXZze2DpbapYGdjh5T9oFRENQ5XXBMP8A6v2jSQhtcyRFFjkp3X9JryHgS9Y8UEAo55ZJCrj7X4gH6rqRKKbB5LZGY6umSAizDdnNznnVKnATimz",
"assets": [
{
"tokenId": "ab6a9516dac0fcf5818ec80629e6e00e6d7c840f5691ea3a38812b82a506bdb5",
"index": 0,
"amount": 2,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e13537461746520426f782053696e676c65746f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "537461746520426f782053696e676c65746f6e"
},
"R5": {
"serializedValue": "0e13537461746520426f782053696e676c65746f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "537461746520426f782053696e676c65746f6e"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "4595476333fef8edbeeb88958a0150aa25cddf0036a926c3852af04316414854",
"value": 3600000,
"index": 1,
"spendingProof": "a57326ab5f5ba6753e66459b9c5e240ec128314af32c59c0090017b2492c6dcf82814c9a217e88df842d091d6f6808d8c9cd898c4d201329",
"outputBlockId": "f05421c38ae951b42dccd6a400982aa82f8793f43891317d44b0d0967ab5aca0",
"outputTransactionId": "03a4cd710fe872a4c3f564b2fe82217f47d0cf3486639e7ac6f95582e2db510a",
"outputIndex": 0,
"outputGlobalIndex": 30765599,
"outputCreatedAt": 1042366,
"outputSettledAt": 1042368,
"ergoTree": "100404000402040008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98bd803d601b2a5730000d602e4e30163d603c57202ea02d1ed93c27201e4e3000eed93b2db6308720173010086027203e4c672020905938cb2db6308a77302000172037303",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = getVar[Box](1.toByte).get\n val coll3 = box2.id\n sigmaProp(\n (box1.propositionBytes == getVar[Coll[Byte]](0.toByte).get) && (\n (box1.tokens(placeholder[Int](1)) == (coll3, box2.R9[Long].get)) && (SELF.tokens(placeholder[Int](2))._1 == coll3)\n )\n ) && placeholder[SigmaProp](3)\n}",
"address": "4mEKcvdShqCmTa6PJnUshJGDri9a2qcyaTdPTipYWv23JvJta8ED175vWjxammimKoHsm3bx3Ca9EqMdzUCgoqDqtvhpQSntGBERYyMGUWcPQTB71336pCHVQ6cGgoj28HrX5B8SCC3r6phPj5aC2mcEA32x8o",
"assets": [
{
"tokenId": "8eb4415615a7ca8b00675070649c290dc70e6583d66fa722d4f0b28b582166d9",
"index": 0,
"amount": 5,
"name": "Lilium BAYC 5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0d4c696c69756d20424159432035",
"sigmaType": "Coll[SByte]",
"renderedValue": "4c696c69756d20424159432035"
},
"R5": {
"serializedValue": "0e604f7572207369787468206d61696e6e65742074657374207573696e67207072656d696e7420746f6b656e732c2077686974656c69737420746f6b656e732c2077686974656c697374206279706173732c207369675553442c20616e6420455247",
"sigmaType": "Coll[SByte]",
"renderedValue": "4f7572207369787468206d61696e6e65742074657374207573696e67207072656d696e7420746f6b656e732c2077686974656c69737420746f6b656e732c2077686974656c697374206279706173732c207369675553442c20616e6420455247"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "0e020104",
"sigmaType": "Coll[SByte]",
"renderedValue": "0104"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9ad8459e309aca57bcc073cd8a5ab5600d0d8ed287436796e911fb43ee31abfa",
"transactionId": "3e9a36cb1bc66255dc59cd67d83311e2eef26cd15023114b596daf186dbcc5f5",
"blockId": "c3e3aa9f3ed0fad39eefc9a77991a226b8c195b418dc6f6604b0560d84db9c6b",
"value": 3600000,
"index": 0,
"globalIndex": 30765604,
"creationHeight": 1042366,
"settlementHeight": 1042369,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(-114,-76,65,86,21,-89,-54,-117,0,103,80,112,100,-100,41,13,-57,14,101,-125,-42,111,-89,34,-44,-16,-78,-117,88,33,102,-39)\n4: Coll(-85,106,-107,22,-38,-64,-4,-11,-127,-114,-56,6,41,-26,-32,14,109,124,-124,15,86,-111,-22,58,56,-127,43,-126,-91,6,-67,-75)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(e78d19,db8909,...)))\n8: 2\n9: 1\n10: true\n11: 4\n12: 0\n13: 0\n14: 2\n15: 4\n16: 6\n17: 1\n18: -1\n19: 1\n20: 1\n21: 0\n22: Coll(127,0,15,-70,-11,95,-85,126)\n23: 1\n24: 0\n25: 1\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: Coll(16,12,4,0,4,0,4,0,4,0,5,0,5,0,4,0,1,1,14,32,-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117,5,0,5,0,5,-128,-88,-61,1,-40,2,-42,1,-37,99,8,-78,-92,115,0,0,-42,2,-28,-58,-89,4,8,-107,-19,-111,-79,114,1,115,1,-109,-116,-78,114,1,115,2,0,1,-28,-58,-89)\n37: 2600000\n38: Coll(16,8,4,0,5,-128,-88,-61,1,4,0,5,2,4,0,14,1,48,4,2,5,-128,-88,-61,1,-40,7,-42,1,-78,-91,115,0,0,-42,2,-28,-58,-89,9,68,5,-42,3,-28,-58,114,1,4,14,-42,4,-28,-58,114,1,5,14,-42,5,-28,-58,114,1,7,14,-42,6,-28,-58,114,1,8,14,-42,7,-28,-58,114,1,9,14,-47,-106,-125,2,1,-106,-125,4,1,-109,-63,114,1,-103,-63,-89,115,1)\n39: 0\n40: 1\n41: 2\n42: 0\n43: Coll(-126,27,-83,74,-125,-81,1,-40,-125,69,-33,72,33,84,-108,39,-101,35,-97,60,15,0,-72,111,-87,-70,-29,-20,15,-122,89,-43)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 11200000\n51: 1000000\n52: 0\n53: 1\n54: 11200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: 10\n66: 11200000\n67: 1000000\n68: 0\n69: 10\n70: 11200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 110200000\n82: 100000000\n83: 110200000\n84: 2\n85: 1\n86: 5\n87: 4\n88: 1600000\n89: 2\n90: 1\n91: 6\n92: 5\n93: 1000000\n94: false\n95: 1\n96: 11200000\n97: 1000000\n98: 0\n99: 1\n100: 11200000\n101: 2\n102: 1\n103: 5\n104: 4\n105: 1600000\n106: 2\n107: 1\n108: 6\n109: 5\n110: 1000000\n111: 1\n112: 10\n113: 11200000\n114: 0\n115: 1\n116: 1\n117: 10\n118: 11200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 110200000\n130: 100000000\n131: 0\n132: 1\n133: 110200000\n134: 2\n135: 1\n136: 5\n137: 4\n138: 1600000\n139: 2\n140: 1\n141: 6\n142: 5\n143: 1000000\n144: false\n145: false\n146: false\n147: 5000000\n148: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n149: 0\n150: 1600000\n151: 1000000\n152: 0\n153: 0\n154: 1\n155: 0\n156: 0\n157: 0\n158: 1\n159: 1600000\n160: 2\n161: 1000000\n162: false",
"ergoTreeScript": "{\n val tuple1 = SELF.R7[(Long, Long)].get\n val l2 = CONTEXT.headers(placeholder[Int](0)).timestamp\n val bool3 = tuple1._1 <= l2\n val coll4 = SELF.R8[Coll[Boolean]].get\n val bool5 = coll4(placeholder[Int](1))\n val bool6 = coll4(placeholder[Int](2))\n val l7 = tuple1._2\n val coll8 = placeholder[Coll[Byte]](3)\n val coll9 = placeholder[Coll[Byte]](4)\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](5))\n val bool12 = coll4(placeholder[Int](6))\n val prop13 = placeholder[SigmaProp](7)\n val func14 = {(bool14: Boolean) =>\n if (bool14 || (INPUTS(placeholder[Int](8)).R5[Long].get == placeholder[Long](9))) { placeholder[Boolean](10) } else {\n OUTPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == SELF.tokens(placeholder[Int](13))._1\n }\n }\n val coll15 = coll10(placeholder[Int](14))\n val bool16 = coll4(placeholder[Int](15))\n val bool17 = coll4(placeholder[Int](16))\n val coll18 = coll10(placeholder[Int](17))\n if ((bool3 || bool5) || bool6) { if ((l7 > l2) || (l7 == placeholder[Long](18))) {(\n val box19 = getVar[Box](1.toByte).get\n val l20 = SELF.R6[Long].get\n val l21 = l20 + placeholder[Long](19)\n val l22 = box19.R9[Long].get\n val box23 = INPUTS(placeholder[Int](20))\n val box24 = OUTPUTS(placeholder[Int](21))\n val tuple25 = box24.R6[(Coll[(Coll[Byte], Coll[Byte])], (Coll[(Coll[Byte], (Int, Int))], Coll[(Coll[Byte], (Int, Int))]))].get\n val tuple26 = tuple25._2\n val coll27 = placeholder[Coll[Byte]](22)\n val avlTree28 = SELF.R5[AvlTree].get\n val bool29 = l21 == l22\n val box30 = OUTPUTS(placeholder[Int](23))\n val bool31 = if (!bool29) {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](24))\n val coll33 = SELF.tokens\n val tuple34 = coll31(placeholder[Int](25))\n val tuple35 = coll33(placeholder[Int](26))\n allOf(Coll[Boolean](tuple32 == (coll33(placeholder[Int](27))._1, placeholder[Long](28)), tuple32._1 == coll9, tuple34 == (tuple35._1, tuple35._2 - placeholder[Long](29)), tuple34._1 == coll8))\n )} else {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](30))\n allOf(Coll[Boolean](tuple32 == (SELF.tokens(placeholder[Int](31))._1, placeholder[Long](32)), tuple32._1 == coll9, coll31.size == placeholder[Int](33)))\n )}\n val box32 = OUTPUTS(placeholder[Int](34))\n val box33 = OUTPUTS(placeholder[Int](35))\n sigmaProp(allOf(Coll[Boolean](box19.id == coll8, l21 <= l22, box23.propositionBytes == placeholder[Coll[Byte]](36), allOf(Coll[Boolean](box24.value == placeholder[Long](37), box24.propositionBytes == placeholder[Coll[Byte]](38), box24.tokens(placeholder[Int](39)) == (coll8, placeholder[Long](40)), box24.R4[Int].get == placeholder[Int](41), blake2b256(box24.R5[Coll[(Coll[Byte], Int)]].get.fold(longToByteArray(placeholder[Long](42)), {(tuple34: (Coll[Byte], (Coll[Byte], Int))) =>\n val tuple36 = tuple34._2\n tuple34._1.append(tuple36._1).append(longToByteArray(tuple36._2.toLong))\n })) == placeholder[Coll[Byte]](43), blake2b256(tuple26._2.fold(tuple26._1.fold(tuple25._1.fold(if (box24.R8[Coll[(Coll[Byte], Coll[Byte])]].get(placeholder[Int](44))._2(placeholder[Int](45)).toInt == placeholder[Int](46)) { longToByteArray(placeholder[Long](47)) } else { longToByteArray(placeholder[Long](48)) }, {(tuple34: (Coll[Byte], (Coll[Byte], Coll[Byte]))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val coll38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(coll38.size.toLong)).append(coll38)\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n })) == blake2b256(avlTree28.get(blake2b256(longToByteArray(l20)), getVar[Coll[Byte]](0.toByte).get).get), box24.R7[Coll[Byte]].get == coll8, box24.R9[(SigmaProp, Long)].get == (box23.R4[SigmaProp].get, l20))), if (bool29) { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21)) } else { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21, box30.R7[(Long, Long)].get == tuple1, box30.R8[Coll[Boolean]].get == coll4, box30.R9[Coll[Coll[Byte]]].get == coll10)) }, if (bool3) { if (bool12 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](49)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](50)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](51), box32.tokens(placeholder[Int](52)) == (coll11, placeholder[Long](53)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](54)), if (bool35 && (INPUTS(placeholder[Int](55)).R5[Long].get > placeholder[Long](56))) { OUTPUTS(placeholder[Int](57)) } else { OUTPUTS(placeholder[Int](58)) }.value == placeholder[Long](59), if (bool35 && (INPUTS(placeholder[Int](60)).R5[Long].get > placeholder[Long](61))) { OUTPUTS(placeholder[Int](62)) } else { OUTPUTS(placeholder[Int](63)) }.value >= placeholder[Long](64)))\n )} else { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](65)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](66)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](67), box32.propositionBytes == prop13.propBytes, box32.tokens(placeholder[Int](68)) == (coll15, placeholder[Long](69)))), func14(l34 >= placeholder[Long](70)), if (bool35 && (INPUTS(placeholder[Int](71)).R5[Long].get > placeholder[Long](72))) { OUTPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }.value == placeholder[Long](75), if (bool35 && (INPUTS(placeholder[Int](76)).R5[Long].get > placeholder[Long](77))) { OUTPUTS(placeholder[Int](78)) } else { OUTPUTS(placeholder[Int](79)) }.value >= placeholder[Long](80)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](81)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](82), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](83)), if (bool35 && (INPUTS(placeholder[Int](84)).R5[Long].get > placeholder[Long](85))) { OUTPUTS(placeholder[Int](86)) } else { OUTPUTS(placeholder[Int](87)) }.value == placeholder[Long](88), if (bool35 && (INPUTS(placeholder[Int](89)).R5[Long].get > placeholder[Long](90))) { OUTPUTS(placeholder[Int](91)) } else { OUTPUTS(placeholder[Int](92)) }.value >= placeholder[Long](93)))\n )} else { placeholder[Boolean](94) } } } } else { if (bool5 || (bool6 && bool12)) { if (bool6 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](95)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](96)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](97), box32.tokens(placeholder[Int](98)) == (coll11, placeholder[Long](99)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](100)), if (bool35 && (INPUTS(placeholder[Int](101)).R5[Long].get > placeholder[Long](102))) { OUTPUTS(placeholder[Int](103)) } else { OUTPUTS(placeholder[Int](104)) }.value == placeholder[Long](105), if (bool35 && (INPUTS(placeholder[Int](106)).R5[Long].get > placeholder[Long](107))) { OUTPUTS(placeholder[Int](108)) } else { OUTPUTS(placeholder[Int](109)) }.value >= placeholder[Long](110)))\n )} else { if (bool5 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll18, placeholder[Long](111)) })) { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](112)) })) {(\n val coll34 = box32.tokens\n val l35 = box23.value\n val bool36 = l35 < placeholder[Long](113)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll34(placeholder[Int](114)) == (coll18, placeholder[Long](115)), coll34(placeholder[Int](116)) == (coll15, placeholder[Long](117)), box32.propositionBytes == prop13.propBytes)), func14(l35 >= placeholder[Long](118)), if (bool36 && (INPUTS(placeholder[Int](119)).R5[Long].get > placeholder[Long](120))) { OUTPUTS(placeholder[Int](121)) } else { OUTPUTS(placeholder[Int](122)) }.value == placeholder[Long](123), if (bool36 && (INPUTS(placeholder[Int](124)).R5[Long].get > placeholder[Long](125))) { OUTPUTS(placeholder[Int](126)) } else { OUTPUTS(placeholder[Int](127)) }.value >= placeholder[Long](128)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](129)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](130), box32.tokens(placeholder[Int](131)) == (coll18, placeholder[Long](132)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](133)), if (bool35 && (INPUTS(placeholder[Int](134)).R5[Long].get > placeholder[Long](135))) { OUTPUTS(placeholder[Int](136)) } else { OUTPUTS(placeholder[Int](137)) }.value == placeholder[Long](138), if (bool35 && (INPUTS(placeholder[Int](139)).R5[Long].get > placeholder[Long](140))) { OUTPUTS(placeholder[Int](141)) } else { OUTPUTS(placeholder[Int](142)) }.value >= placeholder[Long](143)))\n )} else { placeholder[Boolean](144) } } } else { placeholder[Boolean](145) } } } else { placeholder[Boolean](146) } }, allOf(Coll[Boolean](box33.value == placeholder[Long](147), box33.propositionBytes == placeholder[SigmaProp](148).propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](149))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](150) - placeholder[Long](151), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](152))) {(\n val tuple20 = box19.tokens(placeholder[Int](153))\n val tuple21 = SELF.tokens(placeholder[Int](154))\n allOf(Coll[Boolean](tuple20 == tuple21, tuple20._1 == coll8, OUTPUTS.map({(box22: Box) => box22.tokens.map({(tuple24: (Coll[Byte], Long)) => tuple24._2 }).fold(placeholder[Long](155), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](156), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](157) }) })), OUTPUTS(placeholder[Int](158)).value == placeholder[Long](159), OUTPUTS(placeholder[Int](160)).value >= placeholder[Long](161))))\n )} } else { sigmaProp(placeholder[Boolean](162)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "ab6a9516dac0fcf5818ec80629e6e00e6d7c840f5691ea3a38812b82a506bdb5",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8eb4415615a7ca8b00675070649c290dc70e6583d66fa722d4f0b28b582166d9",
"index": 1,
"amount": 5,
"name": "Lilium BAYC 5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R8": {
"serializedValue": "0d077e",
"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,true,true,true,true,true,true]"
},
"R7": {
"serializedValue": "59c0ed99aea66201",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1688775900000,-1]"
},
"R9": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[83e57aae029ecd3f382d629cb35133f640fda143a5528c1de144b28c3c788dac,07888e226d2038dfdf4b0624a41d7db42a2117c2b8a65f992dd85ceb618a0b1f,03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04]"
},
"R4": {
"serializedValue": "6460795ae2af6a456c7cb141994f99615eba4975f749251551cdb1d85204c7fb9e03072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "c04ed0aa059542190ece3481cc9dd27d1b963131328307adefb93ec1f294d7cf",
"mainChain": true
},
{
"boxId": "841747c7b6bac58eb1e72b06daaa7f76e33cfc6f44cbf9dbec8d5da0c725527d",
"transactionId": "3e9a36cb1bc66255dc59cd67d83311e2eef26cd15023114b596daf186dbcc5f5",
"blockId": "c3e3aa9f3ed0fad39eefc9a77991a226b8c195b418dc6f6604b0560d84db9c6b",
"value": 30600000,
"index": 1,
"globalIndex": 30765605,
"creationHeight": 1042366,
"settlementHeight": 1042369,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 2\n9: 4\n10: 4\n11: 5\n12: 1000000\n13: 3\n14: 1000000\n15: 0\n16: 1600000\n17: 1\n18: 1600000\n19: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = coll1(placeholder[Int](0))._1\n if (INPUTS.size > placeholder[Int](1)) {(\n val l3 = SELF.R5[Long].get - placeholder[Long](2)\n val bool4 = l3 == placeholder[Long](3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll2, if (bool4) {\n OUTPUTS.flatMap(\n {(box5: Box) => box5.tokens.map({(tuple7: (Coll[Byte], Long)) => if (tuple7._1 == coll2) { tuple7._2 } else { placeholder[Long](6) } }) }\n ).fold(placeholder[Long](7), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) < placeholder[Long](8)\n } else {(\n val box5 = OUTPUTS(placeholder[Int](9))\n val l6 = if (bool4) { OUTPUTS(placeholder[Int](10)) } else { OUTPUTS(placeholder[Int](11)) }.value\n allOf(\n Coll[Boolean](\n box5.R5[Long].get == l3, box5.value == SELF.value - placeholder[Long](12) + l6 + OUTPUTS(placeholder[Int](13)).value + placeholder[Long](\n 14\n ) + l6, box5.propositionBytes == SELF.propositionBytes, box5.tokens == coll1\n )\n )\n )}\n )\n )\n )\n )} else {(\n val box3 = OUTPUTS(placeholder[Int](15))\n val prop4 = SELF.R4[SigmaProp].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box3.value == SELF.value - placeholder[Long](16), box3.propositionBytes == prop4.propBytes)), OUTPUTS(\n placeholder[Int](17)\n ).value == placeholder[Long](18), OUTPUTS.forall({(box5: Box) => box5.tokens.size == placeholder[Int](19) })\n )\n )\n ) && prop4\n )}\n}",
"address": "5jzCs5dntfe4dfyamLqUeL56vfUWqLGQAkRK5ZV3MYikKP4JfyYiVUej7gSv8hnqXdLCCpVP9bwwaB8rpMq5qvPWjLfNNjhW8zXa884cj6kENiCKHQoN7tKZWaVFHmZSsnzfieMHw9md4FdDtQMb6h8NTk3AkWY8bxh7ChgVvz713PP9MPGdVQHtLf1n5Y7hSrUvzzCK8uCAVPBqS26etFWSGwNAExAQpXTkMekUyTPY5e97wECMMMGt6TeYJgHrJfGHQm6WLL9FHwn5Y5QvY2uKdfJxxAjnYsKGSBGatcFpDQ8VRaot3QU9aQDdBH2WDdWHPCZEk2bwRrrtXMTp1ft19j1iQr7ZPJdxGVSWQB1TGRrzdmqYrn4WxHP2XMTNmGndVpifZB67YL4BGoUexr8oMyMgH2wB8BjziYzV8MsV5h92RnqAciCDD1",
"assets": [
{
"tokenId": "ab6a9516dac0fcf5818ec80629e6e00e6d7c840f5691ea3a38812b82a506bdb5",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd03e78d19f971d3fd95a9efdf6e83ea641cfdb68465621c025fb1b5db93bd48cc51",
"sigmaType": "SSigmaProp",
"renderedValue": "03e78d19f971d3fd95a9efdf6e83ea641cfdb68465621c025fb1b5db93bd48cc51"
},
"R5": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "9569cbb6aeca0764deb73ebea8b19f4179c2d771ee1a0088e06cc8e57e31fc0d",
"transactionId": "3e9a36cb1bc66255dc59cd67d83311e2eef26cd15023114b596daf186dbcc5f5",
"blockId": "c3e3aa9f3ed0fad39eefc9a77991a226b8c195b418dc6f6604b0560d84db9c6b",
"value": 1612000,
"index": 2,
"globalIndex": 30765606,
"creationHeight": 1042366,
"settlementHeight": 1042369,
"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": "5575791cb8a5d8cbd718009c008bc12d9ddca6df18bd15b6d91764e3e03afb88",
"mainChain": true
}
],
"size": 11353,
"isUnconfirmed": false
}