Transaction
ID: 5db84e11e6...5268
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5
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:
0.0009 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 99,515
Total coins transferred: 0.003 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000501 ERG
Raw Transaction Data
{
"id": "5db84e11e696ddbf5c76d43e1f9aa98f29789e47b2f22876bc9d839d686d5268",
"blockId": "0666a9a215a1844bb390820a6637928ed83c01d0b2a1ec907aaed46958fdc94c",
"inclusionHeight": 1673719,
"timestamp": 1765265677207,
"index": 4,
"globalIndex": 9935403,
"numConfirmations": 99515,
"inputs": [
{
"boxId": "ea1977ec6abec2406521465baaf551dce2822c5018772fde43623b8cfc6cd8e1",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5e5d35b6fa617566669b17344f24b089682e7bea3678491e05e1e53cf6091250",
"outputTransactionId": "2e52d4c7022cc4d3eba7a02b63b9e3224c1aee0fcaf9281ec0919b71ab77013c",
"outputIndex": 0,
"outputGlobalIndex": 52128604,
"outputCreatedAt": 1673716,
"outputSettledAt": 1673718,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(24,-118,13,104,88,-15,-105,-102,69,90,41,127,48,-53,36,4,-124,13,5,68,61,113,123,17,-95,86,18,29,52,-8,-9,-13)\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: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: 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 - l16 / placeholder[Long](44)\n val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (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](57) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "6323c318a31826d2fab785c6f8c76b15e0f4a5671be869c3bcba7609c901bb5e",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 1000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e08326362d14786e7c690a8cc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[326362d14786e7c6,1673736]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105faa7cc01d00fd8040828",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1673725,1000,300,4,20]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02b3017b227469746c65223a2254455354205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254455354205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "03e7a5b0e6e8c136db7926eb6f0e294d13eab45bc7baa8507178edbc7c598af2",
"value": 1000000,
"index": 1,
"spendingProof": "a3ae2480a3843ef03c8fbf6cc5deb085bda1a4539a8fce022e806ec4e14eb7280fcf814cd933c3bab3a5901c6ed69fc9084b5120ab787ae3",
"outputBlockId": "d9fc5e18e9bdd50f0d21ec1635f94c7822d3c64931a8e5fe041ad3ab7e585137",
"outputTransactionId": "2659f2cc1e7de0d5f1b4a80d99590c4f2ba64cc0cced39466b6eaa3007732397",
"outputIndex": 0,
"outputGlobalIndex": 52128385,
"outputCreatedAt": 1673713,
"outputSettledAt": 1673714,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "dfa24af306c5023520b808563aa9325793ecd1c67e73f75d9476ccf678520194",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 225,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0edddb5bb9ccecc6507a6e3c797513995185e73e05ed35ddf6b2049f5c3bffbd",
"value": 1000000,
"index": 2,
"spendingProof": "d3d0ab7add7c33cf27c817c362f0eb4a1cae59122766b4ee33c42bf5529556e26025dda072a50d09c3c47c990abf72165652643e8e796a42",
"outputBlockId": "d9fc5e18e9bdd50f0d21ec1635f94c7822d3c64931a8e5fe041ad3ab7e585137",
"outputTransactionId": "2659f2cc1e7de0d5f1b4a80d99590c4f2ba64cc0cced39466b6eaa3007732397",
"outputIndex": 1,
"outputGlobalIndex": 52128386,
"outputCreatedAt": 1673713,
"outputSettledAt": 1673714,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 460,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "1455a78b315500266e00ed99746299709e84a8bff2f03e05b66998763ee487c9",
"transactionId": "5db84e11e696ddbf5c76d43e1f9aa98f29789e47b2f22876bc9d839d686d5268",
"blockId": "0666a9a215a1844bb390820a6637928ed83c01d0b2a1ec907aaed46958fdc94c",
"value": 1000000,
"index": 0,
"globalIndex": 52128628,
"creationHeight": 1673718,
"settlementHeight": 1673719,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(24,-118,13,104,88,-15,-105,-102,69,90,41,127,48,-53,36,4,-124,13,5,68,61,113,123,17,-95,86,18,29,52,-8,-9,-13)\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: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: 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 - l16 / placeholder[Long](44)\n val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (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](57) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "6323c318a31826d2fab785c6f8c76b15e0f4a5671be869c3bcba7609c901bb5e",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 1000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e20657cae1c198ddc0147be94d80af37628fef9db728d03dfbf048597556d49f14990a8cc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[657cae1c198ddc0147be94d80af37628fef9db728d03dfbf048597556d49f149,1673736]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105faa7cc01d00fd8040828",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1673725,1000,300,4,20]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02b3017b227469746c65223a2254455354205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254455354205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
},
"spentTransactionId": "28cd8e0e72d8b5753a378301a489cf784d0be549f292517d0e33cbe71991e1bc",
"mainChain": true
},
{
"boxId": "a524bf6f4c82fcd99ff6e93e577c58658f0fbd83f92062739300385748d5f9ae",
"transactionId": "5db84e11e696ddbf5c76d43e1f9aa98f29789e47b2f22876bc9d839d686d5268",
"blockId": "0666a9a215a1844bb390820a6637928ed83c01d0b2a1ec907aaed46958fdc94c",
"value": 1100000,
"index": 1,
"globalIndex": 52128629,
"creationHeight": 1673718,
"settlementHeight": 1673719,
"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",
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