Transaction
ID: e5400a7d34...9943
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0010602 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.66982268 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0010602 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.66872268 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 58,320
Total coins transferred: 0.67088288 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000259 ERG
Raw Transaction Data
{
"id": "e5400a7d34bb1706a3b8deb39092b3b0b06f8cc2d6c0772329d44b792af29943",
"blockId": "c97d15a76a3d6a211077bbfe35d6fcadec2e50fba4c6be72a37b6bc733289fa4",
"inclusionHeight": 1712545,
"timestamp": 1769955058488,
"index": 5,
"globalIndex": 10236817,
"numConfirmations": 58320,
"inputs": [
{
"boxId": "6a891b49f234bbe4a9df2f9066126c7407df642e596327d53243d2c3e39d1d30",
"value": 1060200,
"index": 0,
"spendingProof": null,
"outputBlockId": "7010f343cf93dd72dc551b27792a8fc7296ff371b8a0a8dd50b1e7e0070e22ef",
"outputTransactionId": "0959fef5eb66cb5fb29cd3fdfcbee6c292bb7cc182e7fc8c38386fa1debfcc87",
"outputIndex": 0,
"outputGlobalIndex": 53324783,
"outputCreatedAt": 1712540,
"outputSettledAt": 1712541,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: Coll(-89,-81,-66,-72,-29,-33,-41,49,121,2,2,-101,4,-84,-100,16,70,102,-46,-50,71,-50,-127,-116,-70,-70,91,42,9,107,65,66)\n2: 0\n3: 1\n4: 4\n5: 0\n6: 5\n7: 0\n8: 3\n9: 0\n10: 1\n11: 0\n12: true\n13: Coll(-109,-14,117,-63,82,-13,-93,50,4,-81,-25,-120,-56,69,30,85,71,-64,61,96,-113,-54,93,-118,-54,92,-15,-117,1,59,-66,-92)\n14: 1\n15: 0\n16: false\n17: true\n18: Coll(122,-94,-75,-37,-122,16,-18,-68,-23,35,110,21,-55,109,-47,84,-91,113,115,65,96,4,98,-91,-79,-37,114,2,-73,30,-45,38)\n19: 0\n20: 0\n21: 1\n22: 10\n23: false\n24: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n25: 0\n26: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n27: 0\n28: 0\n29: 1\n30: 1\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: 4\n37: 5\n38: 5\n39: 6\n40: 6\n41: 7\n42: 5\n43: 0\n44: 0\n45: 1\n46: 3\n47: 1\n48: false\n49: false\n50: false\n51: 2\n52: 0\n53: 5\n54: Coll(-101,3,101,37,50,25,-79,-73,50,0,107,-13,-81,-26,110,-50,-104,-49,-42,19,44,42,119,-41,74,81,-23,-88,8,-34,63,122)\n55: 1\n56: 1\n57: 2\n58: 30\n59: false\n60: 0\n61: 0\n62: 0\n63: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val coll8 = CONTEXT.dataInputs\n val coll9 = SELF.R5[Coll[Byte]].get\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val l13 = coll3(placeholder[Int](5))\n val l14 = l4 - placeholder[Long](6)\n val func15 = {(box15: Box) =>\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll11 }).fold(\n placeholder[Long](7), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n val coll16 = SELF.R7[Coll[Coll[Byte]]].get\n val l17 = coll3(placeholder[Int](8))\n sigmaProp((i1 == placeholder[Int](9)) && ((if (l2 >= l4) {(\n val coll18 = OUTPUTS.filter({(box18: Box) => blake2b256(box18.propositionBytes) == coll5 })\n if (coll18.size == placeholder[Int](10)) {(\n val box19 = coll18(placeholder[Int](11))\n val tuple20 = box19.R6[(Coll[Byte], Coll[Byte])].get\n val coll21 = tuple20._1\n val coll22 = tuple20._2\n val coll23 = Coll[Byte]()\n if (((blake2b256(coll21) == coll6) && (blake2b256(box19.propositionBytes) == coll5)) && if (coll22 == coll23) { placeholder[Boolean](12) } else {(\n val coll24 = coll8.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](13)) && (box24.R6[Coll[Byte]].get == coll7)) && (box24.R5[Coll[Byte]].get == coll22) })\n if (coll24.size == placeholder[Int](14)) {(\n val box25 = coll24(placeholder[Int](15))\n val coll26 = box25.R9[Coll[Long]].get\n (((coll26.fold(placeholder[Boolean](16), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll21)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](17) } else { bool29 } }\n }) && if (coll11 == coll23) { box25.value >= l12 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll11) && (tuple27._2 >= l12) }) }) && ({(box27: Box) =>\n val coll29 = coll8.filter({(box29: Box) =>\n val opt31 = box29.R4[Coll[Byte]]\n (opt31.isDefined && (opt31.get == box27.R7[Coll[Byte]].get)) && (blake2b256(box29.propositionBytes) == placeholder[Coll[Byte]](18))\n })\n if (coll29.size > placeholder[Int](19)) {(\n val l30 = coll29.fold(coll29(placeholder[Int](20)), {(tuple30: (Box, Box)) =>\n val box32 = tuple30._2\n val box33 = tuple30._1\n if (box32.creationInfo._1 < box33.creationInfo._1) { box32 } else { box33 }\n }).creationInfo._1.toLong\n if (l30 < l13) { l13 } else { l30 }\n )} else { l4 }\n }(box25) < l14 - placeholder[Long](21))) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) }\n )}) {(\n val coll24 = coll8.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](24)) && (box24.tokens.size > placeholder[Int](25))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](26))) && (box24.R5[Coll[Byte]].get == coll7)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll16.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](27))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](28))._1 })\n ((((((((((((((((func15(box19) >= func15(SELF)) && (box19.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll7 }).size == placeholder[Int](29))) && (box19.R4[Int].get == placeholder[Int](30))) && (box19.R5[Coll[Byte]].get == coll9)) && (box19.R7[Coll[Coll[Byte]]].get == coll16)) && (box19.R8[Coll[Long]].get(placeholder[Int](31)) == l13)) && (box19.R8[Coll[Long]].get(placeholder[Int](32)) == coll3(placeholder[Int](33)))) && (box19.R8[Coll[Long]].get(placeholder[Int](34)) == l4)) && (box19.R8[Coll[Long]].get(placeholder[Int](35)) == l17)) && (box19.R8[Coll[Long]].get(placeholder[Int](36)) == l12)) && (box19.R8[Coll[Long]].get(placeholder[Int](37)) == coll3(placeholder[Int](38)))) && (box19.R8[Coll[Long]].get(placeholder[Int](39)) >= coll3(placeholder[Int](40)))) && (box19.R8[Coll[Long]].get(placeholder[Int](41)) >= l2 + placeholder[Long](42))) && (box19.R9[Coll[Coll[Byte]]].get(placeholder[Int](43)) == coll10(placeholder[Int](44)))) && (box19.R9[Coll[Coll[Byte]]].get(placeholder[Int](45)) == coll11)) && (box19.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](46))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](47), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](48) }\n )} else { placeholder[Boolean](49) }\n )} else { placeholder[Boolean](50) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](51))) {(\n val box18 = OUTPUTS(placeholder[Int](52))\n val l19 = func15(SELF) - l17 / placeholder[Long](53)\n ((((((((blake2b256(box18.propositionBytes) == placeholder[Coll[Byte]](54)) && (func15(box18) >= l19)) && (box18.tokens.filter({(tuple20: (Coll[Byte], Long)) => (tuple20._1 == coll7) && (tuple20._2 == placeholder[Long](55)) }).size == placeholder[Int](56))) && (box18.R4[Int].get == placeholder[Int](57))) && (box18.R5[Long].get >= l2 + placeholder[Long](58))) && (blake2b256(box18.R6[Coll[Byte]].get) == coll6)) && (box18.R7[Long].get == l19)) && (box18.R8[Long].get == l4)) && (box18.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](59) }) || if ((l2 < l14) && (OUTPUTS.size > placeholder[Int](60))) {(\n val box18 = OUTPUTS.filter({(box18: Box) => blake2b256(box18.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](61))\n (((((((box18.tokens(placeholder[Int](62))._1 == coll7) && (func15(box18) >= func15(SELF))) && (box18.R5[Coll[Byte]].get == blake2b256(coll9.append(SELF.id)))) && (box18.R4[Int].get == i1)) && (box18.R6[Coll[Byte]].get == coll6)) && (box18.R7[Coll[Coll[Byte]]].get == coll16)) && (box18.R8[Coll[Long]].get == coll3)) && (box18.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](63) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "336a73dd0d5e2fddc2691f16278405c8c67fb720992751a9a72191356a43e559",
"index": 0,
"amount": 1,
"name": "Test V2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 500,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20ed3a384ad99edc7e879b01ff355ed5fa81818a08151fc50e4e99eac59adb89fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed3a384ad99edc7e879b01ff355ed5fa81818a08151fc50e4e99eac59adb89fa"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1107b886d10102d886d101e807c801a08d0680b518",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1712540,1,1712556,500,100,50000,200000]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeConstants": "0: 2\n1: Coll(-89,-81,-66,-72,-29,-33,-41,49,121,2,2,-101,4,-84,-100,16,70,102,-46,-50,71,-50,-127,-116,-70,-70,91,42,9,107,65,66)\n2: 0\n3: 1\n4: 4\n5: 0\n6: 5\n7: 0\n8: 3\n9: 0\n10: 1\n11: 0\n12: true\n13: Coll(-109,-14,117,-63,82,-13,-93,50,4,-81,-25,-120,-56,69,30,85,71,-64,61,96,-113,-54,93,-118,-54,92,-15,-117,1,59,-66,-92)\n14: 1\n15: 0\n16: false\n17: true\n18: Coll(122,-94,-75,-37,-122,16,-18,-68,-23,35,110,21,-55,109,-47,84,-91,113,115,65,96,4,98,-91,-79,-37,114,2,-73,30,-45,38)\n19: 0\n20: 0\n21: 1\n22: 10\n23: false\n24: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n25: 0\n26: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n27: 0\n28: 0\n29: 1\n30: 1\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: 4\n37: 5\n38: 5\n39: 6\n40: 6\n41: 7\n42: 5\n43: 0\n44: 0\n45: 1\n46: 3\n47: 1\n48: false\n49: false\n50: false\n51: 2\n52: 0\n53: 5\n54: Coll(-101,3,101,37,50,25,-79,-73,50,0,107,-13,-81,-26,110,-50,-104,-49,-42,19,44,42,119,-41,74,81,-23,-88,8,-34,63,122)\n55: 1\n56: 1\n57: 2\n58: 30\n59: false\n60: 0\n61: 0\n62: 0\n63: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val coll8 = CONTEXT.dataInputs\n val coll9 = SELF.R5[Coll[Byte]].get\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val l13 = coll3(placeholder[Int](5))\n val l14 = l4 - placeholder[Long](6)\n val func15 = {(box15: Box) =>\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll11 }).fold(\n placeholder[Long](7), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n val coll16 = SELF.R7[Coll[Coll[Byte]]].get\n val l17 = coll3(placeholder[Int](8))\n sigmaProp((i1 == placeholder[Int](9)) && ((if (l2 >= l4) {(\n val coll18 = OUTPUTS.filter({(box18: Box) => blake2b256(box18.propositionBytes) == coll5 })\n if (coll18.size == placeholder[Int](10)) {(\n val box19 = coll18(placeholder[Int](11))\n val tuple20 = box19.R6[(Coll[Byte], Coll[Byte])].get\n val coll21 = tuple20._1\n val coll22 = tuple20._2\n val coll23 = Coll[Byte]()\n if (((blake2b256(coll21) == coll6) && (blake2b256(box19.propositionBytes) == coll5)) && if (coll22 == coll23) { placeholder[Boolean](12) } else {(\n val coll24 = coll8.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](13)) && (box24.R6[Coll[Byte]].get == coll7)) && (box24.R5[Coll[Byte]].get == coll22) })\n if (coll24.size == placeholder[Int](14)) {(\n val box25 = coll24(placeholder[Int](15))\n val coll26 = box25.R9[Coll[Long]].get\n (((coll26.fold(placeholder[Boolean](16), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll21)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](17) } else { bool29 } }\n }) && if (coll11 == coll23) { box25.value >= l12 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll11) && (tuple27._2 >= l12) }) }) && ({(box27: Box) =>\n val coll29 = coll8.filter({(box29: Box) =>\n val opt31 = box29.R4[Coll[Byte]]\n (opt31.isDefined && (opt31.get == box27.R7[Coll[Byte]].get)) && (blake2b256(box29.propositionBytes) == placeholder[Coll[Byte]](18))\n })\n if (coll29.size > placeholder[Int](19)) {(\n val l30 = coll29.fold(coll29(placeholder[Int](20)), {(tuple30: (Box, Box)) =>\n val box32 = tuple30._2\n val box33 = tuple30._1\n if (box32.creationInfo._1 < box33.creationInfo._1) { box32 } else { box33 }\n }).creationInfo._1.toLong\n if (l30 < l13) { l13 } else { l30 }\n )} else { l4 }\n }(box25) < l14 - placeholder[Long](21))) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) }\n )}) {(\n val coll24 = coll8.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](24)) && (box24.tokens.size > placeholder[Int](25))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](26))) && (box24.R5[Coll[Byte]].get == coll7)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll16.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](27))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](28))._1 })\n ((((((((((((((((func15(box19) >= func15(SELF)) && (box19.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll7 }).size == placeholder[Int](29))) && (box19.R4[Int].get == placeholder[Int](30))) && (box19.R5[Coll[Byte]].get == coll9)) && (box19.R7[Coll[Coll[Byte]]].get == coll16)) && (box19.R8[Coll[Long]].get(placeholder[Int](31)) == l13)) && (box19.R8[Coll[Long]].get(placeholder[Int](32)) == coll3(placeholder[Int](33)))) && (box19.R8[Coll[Long]].get(placeholder[Int](34)) == l4)) && (box19.R8[Coll[Long]].get(placeholder[Int](35)) == l17)) && (box19.R8[Coll[Long]].get(placeholder[Int](36)) == l12)) && (box19.R8[Coll[Long]].get(placeholder[Int](37)) == coll3(placeholder[Int](38)))) && (box19.R8[Coll[Long]].get(placeholder[Int](39)) >= coll3(placeholder[Int](40)))) && (box19.R8[Coll[Long]].get(placeholder[Int](41)) >= l2 + placeholder[Long](42))) && (box19.R9[Coll[Coll[Byte]]].get(placeholder[Int](43)) == coll10(placeholder[Int](44)))) && (box19.R9[Coll[Coll[Byte]]].get(placeholder[Int](45)) == coll11)) && (box19.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](46))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](47), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](48) }\n )} else { placeholder[Boolean](49) }\n )} else { placeholder[Boolean](50) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](51))) {(\n val box18 = OUTPUTS(placeholder[Int](52))\n val l19 = func15(SELF) - l17 / placeholder[Long](53)\n ((((((((blake2b256(box18.propositionBytes) == placeholder[Coll[Byte]](54)) && (func15(box18) >= l19)) && (box18.tokens.filter({(tuple20: (Coll[Byte], Long)) => (tuple20._1 == coll7) && (tuple20._2 == placeholder[Long](55)) }).size == placeholder[Int](56))) && (box18.R4[Int].get == placeholder[Int](57))) && (box18.R5[Long].get >= l2 + placeholder[Long](58))) && (blake2b256(box18.R6[Coll[Byte]].get) == coll6)) && (box18.R7[Long].get == l19)) && (box18.R8[Long].get == l4)) && (box18.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](59) }) || if ((l2 < l14) && (OUTPUTS.size > placeholder[Int](60))) {(\n val box18 = OUTPUTS.filter({(box18: Box) => blake2b256(box18.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](61))\n (((((((box18.tokens(placeholder[Int](62))._1 == coll7) && (func15(box18) >= func15(SELF))) && (box18.R5[Coll[Byte]].get == blake2b256(coll9.append(SELF.id)))) && (box18.R4[Int].get == i1)) && (box18.R6[Coll[Byte]].get == coll6)) && (box18.R7[Coll[Coll[Byte]]].get == coll16)) && (box18.R8[Coll[Long]].get == coll3)) && (box18.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](63) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "336a73dd0d5e2fddc2691f16278405c8c67fb720992751a9a72191356a43e559",
"index": 0,
"amount": 1,
"name": "Test V2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 1600,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e203d32d55188abf8511bac813c592ab54293cf338259167cc15c2be0cd6302cf9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d32d55188abf8511bac813c592ab54293cf338259167cc15c2be0cd6302cf9c"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1107b886d10102d886d101e807c801a08d0680b518",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1712540,1,1712556,500,100,50000,200000]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
},
"spentTransactionId": "111d5021a9112351a962a0445e453a0e5aef983d529aa73ee2cf515ddd770435",
"mainChain": true
},
{
"boxId": "c614d406baf42258e8f9b6b06788b18085efe319c441ab2700faf56194b9abbb",
"transactionId": "e5400a7d34bb1706a3b8deb39092b3b0b06f8cc2d6c0772329d44b792af29943",
"blockId": "c97d15a76a3d6a211077bbfe35d6fcadec2e50fba4c6be72a37b6bc733289fa4",
"value": 1100000,
"index": 1,
"globalIndex": 53324924,
"creationHeight": 1712542,
"settlementHeight": 1712545,
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