Transaction
ID: bbd248c1f9...743e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1112 ERG
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0026 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0016 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 735,987
Total coins transferred: 0.1148 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000309 ERG
Raw Transaction Data
{
"id": "bbd248c1f9d77251ab62a8034df9cdeb86d03c8f25289513604f48dfb8dd743e",
"blockId": "bf16a0cf3cf3dc05cc63ae3c358f1f6fc34bcd7a762a8b0c9ddaab664564b30e",
"inclusionHeight": 1042436,
"timestamp": 1688792334805,
"index": 1,
"globalIndex": 5493951,
"numConfirmations": 735987,
"inputs": [
{
"boxId": "fb73d160ed93302a65f2297476b8e6506547de72a0616688c9b92925fdb17c3d",
"value": 3600000,
"index": 0,
"spendingProof": null,
"outputBlockId": "975ac8cd2c9b6d5362ce736e64621314354292cbc364d1acc4a2f8d29b3148e0",
"outputTransactionId": "00fe77b0c2958bc0ba2ae7ec772244fc85f2e2de238ec16f2d8b5983d0f577d5",
"outputIndex": 0,
"outputGlobalIndex": 30767345,
"outputCreatedAt": 1042426,
"outputSettledAt": 1042429,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(6,97,21,-63,-103,6,16,-111,-47,42,-125,-63,-128,93,70,-6,77,-124,-36,-18,94,-83,48,-100,-116,31,-91,-14,-49,24,74,110)\n4: Coll(-16,49,-26,30,124,59,-101,-24,-28,-80,-4,93,-76,-123,122,56,18,-16,49,-55,-69,32,75,-26,73,94,-101,30,60,7,-9,115)\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(-72,46,104,-1,61,-103,6,-74,-102,103,-65,-94,-71,-104,-68,99,-95,99,-61,-3,-92,-19,-93,26,32,46,32,118,110,89,-56,-49)\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: -1\n66: 11200000\n67: 1000000\n68: 0\n69: -1\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: -1\n113: 11200000\n114: 0\n115: 1\n116: 1\n117: -1\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": "f031e61e7c3b9be8e4b0fc5db4857a3812f031c9bb204be6495e9b1e3c07f773",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "066115c199061091d12a83c1805d46fa4d84dcee5ead309c8c1fa5f2cf184a6e",
"index": 1,
"amount": 5,
"name": "Lilium BAYC 5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "649454087c4da3d56c28596d9217d580da28870a5dc37cc31c7aa509eb1f48073203072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R8": {
"serializedValue": "0d0740",
"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980c4e5bca662c08fafbfa662",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1688791200000,1688793900000]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
},
"R4": {
"serializedValue": "64acd106a751b062852625f954bba74ededd48261f1bcf06a91f4d49d775d3102803072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "8f385a5e50742fc142002c63e6326c03f1d6b6d61a90c6f4ea3745c4c31716c8",
"value": 111200000,
"index": 1,
"spendingProof": null,
"outputBlockId": "844dae96c56e6b3a83a9fac518816e3bd05ae80796950d0c6425e93fa67be2af",
"outputTransactionId": "1223113b257e4e4faa9c3d12a5d753938afc54438a0127d67d7ff132c63a2656",
"outputIndex": 0,
"outputGlobalIndex": 30767478,
"outputCreatedAt": 1042431,
"outputSettledAt": 1042434,
"ergoTree": "100c040004000400040005000500040001010e20e540cceffd3b8dd0f401193576cc413467039695969427df94454193dddfb375050005000580a8c301d802d601db6308b2a4730000d602e4c6a7040895ed91b172017301938cb2720173020001e4c6a7050ed1938ce4c6b2a5730300094405017202d802d603d07202d604db6308a7ea02d1968302019683020192b0ada5d90105639593c272057203c1720573047305d90105599a8c7205018c720502c1a79591b172047306aea5d9010563ed93db63087205720493c272057203730793b0ada5d90105639593cbc272057308c172057309730ad90105599a8c7205018c720502730b7202",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: true\n8: Coll(-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)\n9: 0\n10: 0\n11: 1600000",
"ergoTreeScript": "{\n val coll1 = INPUTS(placeholder[Int](0)).tokens\n val prop2 = SELF.R4[SigmaProp].get\n if ((coll1.size > placeholder[Int](1)) && (coll1(placeholder[Int](2))._1 == SELF.R5[Coll[Byte]].get)) {\n sigmaProp(OUTPUTS(placeholder[Int](3)).R9[(SigmaProp, Long)].get._1 == prop2)\n } else {(\n val coll3 = prop2.propBytes\n val coll4 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n OUTPUTS.map({(box5: Box) => if (box5.propositionBytes == coll3) { box5.value } else { placeholder[Long](4) } }).fold(\n placeholder[Long](5), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }\n ) >= SELF.value, if (coll4.size > placeholder[Int](6)) {\n OUTPUTS.exists({(box5: Box) => (box5.tokens == coll4) && (box5.propositionBytes == coll3) })\n } else { placeholder[Boolean](7) }\n )\n ), OUTPUTS.map(\n {(box5: Box) => if (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](8)) { box5.value } else { placeholder[Long](9) } }\n ).fold(placeholder[Long](10), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) == placeholder[Long](11)\n )\n )\n ) && prop2\n )}\n}",
"address": "RShSy3CERS1Jt4duhhy4YjcYBvcMdN3VnV9aKETP9xs42JDPE4pjU9MCwCqfF58xnNpHNohcjJBTVULcHanBRA8WSrgKEAcSy2r72o7MyDio1VbxbfwPjtYT9MM5R65wRCRsQzGSRRHq3RaztyZ55jczx8f1rZbTzM8oRDjisei2eQwjsooAtsiwaCFNmNXHyDWmkpcYvqw3aTaXq6sPFVXtJSjgpxrK7e7oMHCEuLvtdX7HJJU9xCjdZzecj5TAujGjY4ne6yEgU8ZW4TPrydWCjYFhmScHsoAhFGHtSd4sPEqPdmDp9ro8WySqaSDMeahqTMD3p2iWDgGn92jTj9xXiC",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd03d0979c53b6789f72671a977af4ac77d08a6f830bd8e9284235a777b3adef7713",
"sigmaType": "SSigmaProp",
"renderedValue": "03d0979c53b6789f72671a977af4ac77d08a6f830bd8e9284235a777b3adef7713"
},
"R5": {
"serializedValue": "0e20f031e61e7c3b9be8e4b0fc5db4857a3812f031c9bb204be6495e9b1e3c07f773",
"sigmaType": "Coll[SByte]",
"renderedValue": "f031e61e7c3b9be8e4b0fc5db4857a3812f031c9bb204be6495e9b1e3c07f773"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "a8d4ef22b09f152e5f3b272fee5eb86457f93fbe7429774b61903d875cb0e06e",
"transactionId": "bbd248c1f9d77251ab62a8034df9cdeb86d03c8f25289513604f48dfb8dd743e",
"blockId": "bf16a0cf3cf3dc05cc63ae3c358f1f6fc34bcd7a762a8b0c9ddaab664564b30e",
"value": 2600000,
"index": 0,
"globalIndex": 30767612,
"creationHeight": 1042434,
"settlementHeight": 1042436,
"ergoTree": "100804000580a8c3010400050204000e013004020580a8c301d807d601b2a5730000d602e4c6a7094405d603e4c67201040ed604e4c67201050ed605e4c67201070ed606e4c67201080ed607e4c67201090ed1968302019683040193c1720199c1a7730193c27201d08c72020193b2db630872017302008602c5a773039683020193cbb3b3b3b3b3b3b3b3b37a7eb172030572037a7eb172040572047a7eb172050572057a7eb172060572067a7eb17207057207cbe4dc640ae4c6b2db6501fe730400046402cb7a8c720202e4e3000e93e4c67201060e730593c1b2a57306007307",
"ergoTreeConstants": "0: 0\n1: 1600000\n2: 0\n3: 1\n4: 0\n5: Coll(48)\n6: 1\n7: 1600000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = SELF.R9[(SigmaProp, Long)].get\n val coll3 = box1.R4[Coll[Byte]].get\n val coll4 = box1.R5[Coll[Byte]].get\n val coll5 = box1.R7[Coll[Byte]].get\n val coll6 = box1.R8[Coll[Byte]].get\n val coll7 = box1.R9[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box1.value == SELF.value - placeholder[Long](1), box1.propositionBytes == tuple2._1.propBytes, box1.tokens(placeholder[Int](2)) == (\n SELF.id, placeholder[Long](3)\n ), allOf(\n Coll[Boolean](\n blake2b256(\n longToByteArray(coll3.size.toLong).append(coll3).append(longToByteArray(coll4.size.toLong)).append(coll4).append(\n longToByteArray(coll5.size.toLong)\n ).append(coll5).append(longToByteArray(coll6.size.toLong)).append(coll6).append(longToByteArray(coll7.size.toLong)).append(coll7)\n ) == blake2b256(\n CONTEXT.dataInputs(placeholder[Int](4)).R4[AvlTree].get.get(blake2b256(longToByteArray(tuple2._2)), getVar[Coll[Byte]](0.toByte).get).get\n ), box1.R6[Coll[Byte]].get == placeholder[Coll[Byte]](5)\n )\n )\n )\n ), OUTPUTS(placeholder[Int](6)).value == placeholder[Long](7)\n )\n )\n )\n}",
"address": "5d7kmvqYj49qiasgGd4989M3PvS4bExHcbtfzTpQqqd4T5hBAugn8s4U4zpcbntjKZVZF8SbFvxZrWZSSgyQiZbuKgL2Sh6CctK2UJKft7sBZNJNceTzNARq2vGxK6UJHZgyc28rofBzSGGp62N8A9YpmDRP9FucvQUqD1uX8oZ17UY29tdYYazSAESEmbqkL5TLLWdLzig9LMMFYL7QysUVBVeM7UDsMxrr7HhbT2XVHo35RYcscVpg2XLWAoezVUgUDGfWz6t4c8zNF2KzK2NptSaXVV4XNmQFweZqUxUkCpXU7ynEmbSJRd2",
"assets": [
{
"tokenId": "066115c199061091d12a83c1805d46fa4d84dcee5ead309c8c1fa5f2cf184a6e",
"index": 0,
"amount": 1,
"name": "Lilium BAYC 5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0c4c0e02240008cd02753ba5055ba7e5ee5eeb12a46644fa50de689723a259ace2aa8f91c644bc5538a001240008cd02b2d604ac0de0e6115ba52504f602742f7a00f828aa21fe881e08d6111ce782d53c",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd02753ba5055ba7e5ee5eeb12a46644fa50de689723a259ace2aa8f91c644bc5538,80],[0008cd02b2d604ac0de0e6115ba52504f602742f7a00f828aa21fe881e08d6111ce782d5,30]]"
},
"R6": {
"serializedValue": "3c0c3c0e0e3c0c3c0e580c3c0e5806044579657306536c65657079034861740c42617963204861742052656407436c6f746865730c536c656576656c65737320540346757205426c61636b0a4261636b67726f756e64064f72616e6765054d6f75746805426f7265640000",
"sigmaType": null,
"renderedValue": null
},
"R8": {
"serializedValue": "0c3c0e0e01086578706c696369740100",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[6578706c69636974,00]]"
},
"R7": {
"serializedValue": "0e20066115c199061091d12a83c1805d46fa4d84dcee5ead309c8c1fa5f2cf184a6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "066115c199061091d12a83c1805d46fa4d84dcee5ead309c8c1fa5f2cf184a6e"
},
"R9": {
"serializedValue": "4405cd03d0979c53b6789f72671a977af4ac77d08a6f830bd8e9284235a777b3adef771300",
"sigmaType": "(SSigmaProp, SLong)",
"renderedValue": "[03d0979c53b6789f72671a977af4ac77d08a6f830bd8e9284235a777b3adef7713,0]"
},
"R4": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
},
"spentTransactionId": "5509df6cd7a020287e4216d6ebec54576e3f5d110f077fb21594242e2afe6753",
"mainChain": true
},
{
"boxId": "58296294e6945430b44ccee295f19acf3f262ab06777ad92af164ba310850c0e",
"transactionId": "bbd248c1f9d77251ab62a8034df9cdeb86d03c8f25289513604f48dfb8dd743e",
"blockId": "bf16a0cf3cf3dc05cc63ae3c358f1f6fc34bcd7a762a8b0c9ddaab664564b30e",
"value": 3600000,
"index": 1,
"globalIndex": 30767613,
"creationHeight": 1042434,
"settlementHeight": 1042436,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(6,97,21,-63,-103,6,16,-111,-47,42,-125,-63,-128,93,70,-6,77,-124,-36,-18,94,-83,48,-100,-116,31,-91,-14,-49,24,74,110)\n4: Coll(-16,49,-26,30,124,59,-101,-24,-28,-80,-4,93,-76,-123,122,56,18,-16,49,-55,-69,32,75,-26,73,94,-101,30,60,7,-9,115)\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(-72,46,104,-1,61,-103,6,-74,-102,103,-65,-94,-71,-104,-68,99,-95,99,-61,-3,-92,-19,-93,26,32,46,32,118,110,89,-56,-49)\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: -1\n66: 11200000\n67: 1000000\n68: 0\n69: -1\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: -1\n113: 11200000\n114: 0\n115: 1\n116: 1\n117: -1\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": [
{
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"index": 0,
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"name": "State Box Singleton",
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"type": "EIP-004"
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{
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"index": 1,
"amount": 4,
"name": "Lilium BAYC 5",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {
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"sigmaType": null,
"renderedValue": null
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"R8": {
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"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
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"sigmaType": "(SLong, SLong)",
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"renderedValue": null
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"mainChain": true
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{
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"index": 2,
"globalIndex": 30767614,
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"ergoTree": "0008cd03e78d19f971d3fd95a9efdf6e83ea641cfdb68465621c025fb1b5db93bd48cc51",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e78d19,db8909,...)))}",
"address": "9iDnMa8kK6CtE9i3zw55o9uCKFKudTfWcRBJErhdNpn5N9hfXBH",
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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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},
{
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"ergoTree": "0008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))}",
"address": "9gUNFq1gAu2sb6KdF7jeQ1WKmTBx9J7WXA9ULsxve1BXmwmPmhL",
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"spentTransactionId": "72ff52c96304784ccd1cc1c8012fb5fa4a06770f2f805c1c44ca673ead7be546",
"mainChain": true
}
],
"size": 5175,
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}