Transaction
ID: 45381337af...d964
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001843488 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000743488 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 98,142
Total coins transferred: 0.002843488 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000508 ERG
Raw Transaction Data
{
"id": "45381337af2f8e5873c617efb5a69a09b6b96474e504d258afd52b99107bd964",
"blockId": "7d613c5566cced84406867926994f186e6d8ed539f75a8c8f6a8ba71eae18a4c",
"inclusionHeight": 1671155,
"timestamp": 1764955875709,
"index": 29,
"globalIndex": 9916838,
"numConfirmations": 98142,
"inputs": [
{
"boxId": "0aad5aecd0a4d1d3830fdd873db9e74efd17bc4031522b8f5c420e72070ffde3",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "752a515a649977565649cac44a31f4863930b50a0c3dccf5de6a76710d83a1d1",
"outputTransactionId": "a0927963fa28b6c00405c110c5a27e0bc5a67ad82418849cf7af55c75275469d",
"outputIndex": 0,
"outputGlobalIndex": 52053519,
"outputCreatedAt": 1671151,
"outputSettledAt": 1671152,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-52,-89,34,-48,61,-26,-108,-78,-120,-32,-87,-14,-48,97,-114,36,68,6,-7,2,-3,26,-19,-86,-77,62,-82,-83,83,53,113,16)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-116,44,4,10,-127,-73,13,-5,2,-104,-84,5,67,23,-101,-53,13,-60,17,126,6,-118,85,-15,-88,-123,-120,-123,-74,-84,-22,-30)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: 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)\n19: 0\n20: 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)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 30\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 2\n50: 30\n51: 1\n52: 1000000\n53: 1000000\n54: false\n55: 0\n56: 0\n57: 0\n58: 1000000\n59: 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 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 / placeholder[Long](44)\n val l21 = l16 - l20\n val l22 = if (bool14) { if (l21 < placeholder[Long](45)) { placeholder[Long](46) } else { l21 } } else { l21 }\n (((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l22)) && (box19.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll8 }).size == placeholder[Int](48))) && (box19.R4[Int].get == placeholder[Int](49))) && (box19.R5[Long].get >= l2 + placeholder[Long](50))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l22)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)) && (func15(OUTPUTS(placeholder[Int](51))) >= if (bool14) { if (l20 < placeholder[Long](52)) { placeholder[Long](53) } else { l20 } } else { l20 })\n )} else { placeholder[Boolean](54) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](55))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](56))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](57))._1 == coll8) && ((l20 >= placeholder[Long](58)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](59) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "d8ddddf4c900ad94eee84cc3818dcb9e53e0739ef060b61a9f1183d1d9cf432e",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 200,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e08614055c625f876ce8680cc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[614055c625f876ce,1671171]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105f0ffcb019003c8010a14",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1671160,200,100,5,10]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02d3017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "321247fdb3d561b63e1266f26305a361c8599dad31fc62bdcded3d8cfb0a67ec",
"value": 1843488,
"index": 1,
"spendingProof": "568e5221c1e0423f8fdd2e09b61d5d1eb7bd0b434ad1704df280e2c1b3a31e913bbafef3f0b3a165db154296597f07ec29b77b42d3ae857f",
"outputBlockId": "8793c70c19aca8e348698df1cfa38b52db2acf97ec1190da0c6db00cf28559c5",
"outputTransactionId": "449e4a2ca910b1a44ec7a8896e8a98c34c7150203cca87f501c52b90a147bded",
"outputIndex": 0,
"outputGlobalIndex": 51991570,
"outputCreatedAt": 1669111,
"outputSettledAt": 1669112,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "098a7f3ae6bb17ad257217fb06565769a8f5002f69657fb67cca00fcc12f44ec",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "89279023f8dae2fef55753728686e6e466a6c6a9a03b1d2a14b0822591358a29",
"transactionId": "45381337af2f8e5873c617efb5a69a09b6b96474e504d258afd52b99107bd964",
"blockId": "7d613c5566cced84406867926994f186e6d8ed539f75a8c8f6a8ba71eae18a4c",
"value": 1000000,
"index": 0,
"globalIndex": 52053691,
"creationHeight": 1671154,
"settlementHeight": 1671155,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-52,-89,34,-48,61,-26,-108,-78,-120,-32,-87,-14,-48,97,-114,36,68,6,-7,2,-3,26,-19,-86,-77,62,-82,-83,83,53,113,16)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-116,44,4,10,-127,-73,13,-5,2,-104,-84,5,67,23,-101,-53,13,-60,17,126,6,-118,85,-15,-88,-123,-120,-123,-74,-84,-22,-30)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: 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)\n19: 0\n20: 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)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 30\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 2\n50: 30\n51: 1\n52: 1000000\n53: 1000000\n54: false\n55: 0\n56: 0\n57: 0\n58: 1000000\n59: 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 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 / placeholder[Long](44)\n val l21 = l16 - l20\n val l22 = if (bool14) { if (l21 < placeholder[Long](45)) { placeholder[Long](46) } else { l21 } } else { l21 }\n (((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l22)) && (box19.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll8 }).size == placeholder[Int](48))) && (box19.R4[Int].get == placeholder[Int](49))) && (box19.R5[Long].get >= l2 + placeholder[Long](50))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l22)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)) && (func15(OUTPUTS(placeholder[Int](51))) >= if (bool14) { if (l20 < placeholder[Long](52)) { placeholder[Long](53) } else { l20 } } else { l20 })\n )} else { placeholder[Boolean](54) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](55))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](56))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](57))._1 == coll8) && ((l20 >= placeholder[Long](58)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](59) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "d8ddddf4c900ad94eee84cc3818dcb9e53e0739ef060b61a9f1183d1d9cf432e",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 200,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e207b6ea87b869fedb2c774b458088b883bd199d1f3275e2d382ea93e09d97fb62d8680cc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[7b6ea87b869fedb2c774b458088b883bd199d1f3275e2d382ea93e09d97fb62d,1671171]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105f0ffcb019003c8010a14",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1671160,200,100,5,10]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02d3017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
},
"spentTransactionId": "aefb279245c2fbfbde4ac1dd2798ba84a8d167a94fffb545d8cbb249358525cb",
"mainChain": true
},
{
"boxId": "a7b1f6bc74976e20147aa1db5194423b01a95f26afcbde8a911263d04782c87e",
"transactionId": "45381337af2f8e5873c617efb5a69a09b6b96474e504d258afd52b99107bd964",
"blockId": "7d613c5566cced84406867926994f186e6d8ed539f75a8c8f6a8ba71eae18a4c",
"value": 1100000,
"index": 1,
"globalIndex": 52053692,
"creationHeight": 1671154,
"settlementHeight": 1671155,
"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": "76c1bbfc9280fcb9e8311be48bde5cae31036a4c704fbf3d46cb669843df8ff7",
"mainChain": true
},
{
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"transactionId": "45381337af2f8e5873c617efb5a69a09b6b96474e504d258afd52b99107bd964",
"blockId": "7d613c5566cced84406867926994f186e6d8ed539f75a8c8f6a8ba71eae18a4c",
"value": 743488,
"index": 2,
"globalIndex": 52053693,
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