Transaction
ID: 0941331568...be1e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
63.02 ERG
Outputs (11)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.23 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.16 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
16.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.47 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.35 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
17.67 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.5 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.04 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.5937 ERG
Transaction Details
Confirmations: 998,506
Total coins transferred: 63.02 ERG
Fees: 0.04 ERG
Fees per byte: 0.000004929 ERG
Raw Transaction Data
{
"id": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"inclusionHeight": 768542,
"timestamp": 1654809455960,
"index": 3,
"globalIndex": 3330950,
"numConfirmations": 998506,
"inputs": [
{
"boxId": "26ee77f59955167712370d5bc16583c6a7fb574558dd03b05f68ef23b017388c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0976b56f71e72954d622de6619f9e5a796865a8d2b3ba80eaaeac91b43b5cafe",
"outputTransactionId": "0526d6cfd8e87807045220a8b2f8b0e74c6455464ff2685a79e27a1bba0c6a90",
"outputIndex": 0,
"outputGlobalIndex": 17673953,
"outputCreatedAt": 768337,
"outputSettledAt": 768339,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-26,12,-102,51,35,64,33,-45,-100,-102,39,-62,-87,118,66,-120,32,-38,35,-124,-87,-62,77,-90,21,7,71,-108,-70,27,77,4)\n3: 0\n4: 0\n5: 100\n6: 1\n7: -1\n8: 0\n9: 1\n10: 0\n11: 0\n12: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n13: 1\n14: 0\n15: 2500\n16: 0\n17: 100000\n18: 1000000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.tokens\n val tuple4 = coll2(placeholder[Int](1))\n val coll5 = OUTPUTS.filter({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](2) })\n val l6 = coll5.fold(placeholder[Long](3), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.tokens(placeholder[Int](4))._2 })\n val l7 = box1.R5[Long].get\n val func8 = {(tuple8: (Long, Long)) =>\n val l10 = tuple8._2\n val l11 = tuple8._1 - l10 * placeholder[Long](5) / l10\n (l11 < placeholder[Long](6)) && (l11 > placeholder[Long](7))\n }\n val l9 = coll5.fold(placeholder[Long](8), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.value })\n val l10 = INPUTS(placeholder[Int](9)).value\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](10))._1 == coll3(placeholder[Int](11))._1, tuple4._1 == placeholder[Coll[Byte]](\n 12\n ), tuple4._2 >= coll3(placeholder[Int](13))._2 - l6, box1.value == SELF.value, box1.R4[Long].get > placeholder[Long](14), l7 <= placeholder[Long](\n 15\n ), l7 >= placeholder[Long](16)\n )\n ) && allOf(Coll[Boolean](func8((l9, l10 - l10 * SELF.R5[Long].get / placeholder[Long](17))), func8((l6, l9 * SELF.R4[Long].get / placeholder[Long](18)))))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1f29b1a6a5d698e50709d72f22c3611cfed74b57cce122f82632c22263ebde51",
"index": 0,
"amount": 1,
"name": "COMET Emission Box NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 1995943151,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
}
}
},
{
"boxId": "f27863c231ac80c6db7e46f863434caa277faff485c80e51b69231c18fa113b5",
"value": 63018700000,
"index": 1,
"spendingProof": "7322b4fd24e41cef7979601e568d67e3e4b5c210da99cebec3c89923e813cc962f80ac9c0848e54eea22a993b27c9c22449cb52d84dc608b",
"outputBlockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"outputTransactionId": "bbcf37de1738a2e112d09eb8996bec997630000c9b5bbfbbcfabb996a4853e84",
"outputIndex": 0,
"outputGlobalIndex": 17684904,
"outputCreatedAt": 768540,
"outputSettledAt": 768542,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f0bcffd5d88ba2ab2e5851605fe7320854d0da93999d75e85e0e6c7a83331155",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 1000000,
"index": 0,
"globalIndex": 17684911,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-26,12,-102,51,35,64,33,-45,-100,-102,39,-62,-87,118,66,-120,32,-38,35,-124,-87,-62,77,-90,21,7,71,-108,-70,27,77,4)\n3: 0\n4: 0\n5: 100\n6: 1\n7: -1\n8: 0\n9: 1\n10: 0\n11: 0\n12: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n13: 1\n14: 0\n15: 2500\n16: 0\n17: 100000\n18: 1000000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.tokens\n val tuple4 = coll2(placeholder[Int](1))\n val coll5 = OUTPUTS.filter({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](2) })\n val l6 = coll5.fold(placeholder[Long](3), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.tokens(placeholder[Int](4))._2 })\n val l7 = box1.R5[Long].get\n val func8 = {(tuple8: (Long, Long)) =>\n val l10 = tuple8._2\n val l11 = tuple8._1 - l10 * placeholder[Long](5) / l10\n (l11 < placeholder[Long](6)) && (l11 > placeholder[Long](7))\n }\n val l9 = coll5.fold(placeholder[Long](8), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.value })\n val l10 = INPUTS(placeholder[Int](9)).value\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](10))._1 == coll3(placeholder[Int](11))._1, tuple4._1 == placeholder[Coll[Byte]](\n 12\n ), tuple4._2 >= coll3(placeholder[Int](13))._2 - l6, box1.value == SELF.value, box1.R4[Long].get > placeholder[Long](14), l7 <= placeholder[Long](\n 15\n ), l7 >= placeholder[Long](16)\n )\n ) && allOf(Coll[Boolean](func8((l9, l10 - l10 * SELF.R5[Long].get / placeholder[Long](17))), func8((l6, l9 * SELF.R4[Long].get / placeholder[Long](18)))))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1f29b1a6a5d698e50709d72f22c3611cfed74b57cce122f82632c22263ebde51",
"index": 0,
"amount": 1,
"name": "COMET Emission Box NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 1995631209,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
}
},
"spentTransactionId": "0117389a119659d9eb0d7d1fd89d217d8af0cb4e78f3e8aa89a3b61cc8998653",
"mainChain": true
},
{
"boxId": "4fa50bdcacb8e0cf2cd8c2746b092ce6853858dcca547696e61b8a1d6ae53440",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 5232000000,
"index": 1,
"globalIndex": 17684912,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
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{
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"index": 0,
"amount": 26160,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "18374b73fc074518e7f915ec4dafe4144d24ad7cc2b34b32da192e1db5f11d85",
"mainChain": true
},
{
"boxId": "4cd0d06de3b049af076ebfd8581e62ca685d95a48465e84cb3d4430b838cb4b7",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 3163000000,
"index": 2,
"globalIndex": 17684913,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "10360400040004000e203d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e50204020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a040004020400040404010404040104000500040005010100010004010401040005000400050101000100040105000400040101000101050004000501050001010100d803d601b2a4730000d602c2a7d6037301d195938cb2db63087201730200017303d807d604e4c6b2a4730400040c3c0e11d605e4c67201040c3c0e11d60699b0b5a4d901066393c2720672027305d9010641639a8c720601c18c720602b0b57205d901063c0e11d801d6088c7206028fb27208730600b272087307007308d90106413c0e119a8c720601b28c8c72060202730900d607ade4c67201050c4c0ed901074c0ed801d6099d9c7e8c720702057206730a86028c7207019972099e7209730bd608ada5d9010863c27208d609ada5d9010963c17209d60ab0b57204d9010a3c0e11d801d60c8c720a028fb2720c730c00b2720c730d00730ed9010a413c0e119a8c720a01b28c8c720a0202730f00ededaf7204d9010b3c0e11d807d60d8c720b01d60edc0c1aad7205d9010e3c0e118c720e0102720d7310d60f8c720b02d610dad9011005d801d6129d9c99b072077206d90112414d0e998c7212018c8c721202029c73117eb17204057210b072047312d90112413c0e119a8c721201b28c8c721202027313009972129e7212731401b2720f731500d611b2720f731600d612dc0c1a720802720d7317d613b2720f7318009594720e7319d801d6149ab2b2ad7205d901143c0e118c721402720e00731a00721095927214721195947212731bd801d615db6308b2a57212009591b17215731c9683030193b272097212007214937213731d92b2ad7215d901164d0e8c721602731e01731f7e72030573207321ed93721273229372137214959272107211959472127323d801d614db6308b2a57212009591b1721473249683030193b272097212007210937213732592b2ad7214d901154d0e8c72150273260173277e72030573287329ed937212732a9372137210af7207d9010b4d0ed801d60d8c720b029591720d732bd801d60edc0c1a7208028c720b01732c9594720e732d93c1b2a5720e00720d732e732f9591720a7330aea5d9010b63eded93c1720b720a93c2720b720292b2addb6308720bd9010d4d0e8c720d027331017332733373347335",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
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{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 15816,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5238974e140af7b254f2e04b85dfede3cd1c3a1c93db7be110a975763d52a13f",
"mainChain": true
},
{
"boxId": "845e88b67463b5605ad8efc1a4abc6aeeabba7592d8d9c9d85ef6ce122c428b3",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 16005000000,
"index": 3,
"globalIndex": 17684914,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
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{
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"index": 0,
"amount": 80026,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a35e3138110b823e58a459b88e82fb32602f9902d782bfa68a85102b6a6cb183",
"mainChain": true
},
{
"boxId": "09ccf2a63a8942e1192b4c822aa162dcb44925f4476a8a244cdcea430598c89b",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 7471000000,
"index": 4,
"globalIndex": 17684915,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
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{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 37356,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1ef15adc7b52a0c26f5b330eaa3b6bbfc05964064e2721396d80424877fd40c1",
"mainChain": true
},
{
"boxId": "0467da68dc01942a1f973feb7ad9cacbcb652bc08246609bc48b7ebd40314982",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 5348000000,
"index": 5,
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"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "277xcwgMLFPCeLF8yY3gQfJyxanZbB4H74CAJx8Cb2bwBd4UJ2WBvALUmMkW8R9uciUrHvm8TtSK3UGRfWnxMG1jScBSbPkGfLv5cujvTbZtgh2o9g8B4MK8SNgbJvSXgzRsWsbx7kfzqdvsUVEy7WMhKRWLzhcsRoA7cP6f263V23NNX4P1nLM3KK5XKgRfvkNEvwCrXHXtN225THRsTp6s4ErWiQPpMNz9NJ5Kz9urVeKide3oe4HjD52J7C6tBrKLkmvyS1nqxnsgTmbP9w9QV6AqV8Bi6f25TN3hpxEMBZKWiXTFWAtqDvx3zvcQKYWekXtExXyUoQ4FdYyTvZEkKSF94E4pm9ttG9PqroMBqRk6nURqBuCsFqnQntRz3XEgQdpEGW2qR91VPECxFXLvRSRi4PZ3mCzq1fJaJuycSByGiFLVy1Aqasd5wk47TGEuSmmZQCXiQw2ZYbHadPEZVoT4yazKv7CCzLB7TjSj6Wuzjn6XRwQaH4oncQq3RgE6GfPckAtD9zy5QBkPmwTDJSyahXfagXrsnLm8gGyomq8RNcutDJs1bFmNn4HwHBGcTp761HmK8h7FX4wShQ59Sy18zEzPdrv9Kuoz6tPJJw2WgHC5kU2aor4P6tejEmScy6gssXKUrV4paUz8RMQsPXRnCposTRCWUuYYjxLJSxPE68TYPRLnPRCEyfSDXxQDWpo44ohnwuv7Tc85dP36ccJPNCD4ba9qGwpfaa2jayKHzbng4Mcw5Knp7WnGugMP8nzcnoCDoZGZBvEKMCEVDWXrNkrjpPo8tUzRXVof4ybgND1x4jxcaPPHXyGgzq9kfqAiQdtkkmMcV6Mn3ATggcAWbYvhfpvh1XAidMjJC15uG4wwtaBB7QaXCVPJQefBah4QcCX2SPqFyw8VrVArfBGigQADiE5kUhCt9ug4Kkiaxj6USktwVz74nDTABwVjDEpLyxxc4UAEpiEm6tJNbs83x4rWxPjkLMyGpQKsSNYXQD6pgrn9g6ytsd9n1bfzotkuT26nyDRzv5R5g2u99767H5cjegn7SmfMyPd69YeSm7nnt1tvUQDGgtwS5PzHj3dH5xr8sg4AtvZNv2LKvdL6j8QKxfSjW7YqYTbE9MnBMQucAcettDKJjmACMsAg8TPxfaWButL74y5ZzuTjgcnGZmJGdNjzZT3ye6UfYKLn5xuKbsBsaPrw3w19tzgkY7FSYK6Wc2FefzWbnvT2Aw7y",
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{
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"index": 0,
"amount": 26742,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7fd2cdc05431dec9de37e54812d229be0b5dca8209bb2fa896cbd196630a56f9",
"mainChain": true
},
{
"boxId": "b859db20dd48089831805c47ccea8ca2dc163efb92ae70c43a0b9dc95e6e3670",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 5995000000,
"index": 6,
"globalIndex": 17684917,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
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{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 29975,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "35c16b12e6f81759fde083a23619837d0700dbfcfbc168a3882bb0649cabfed1",
"mainChain": true
},
{
"boxId": "abccbf8f532076a2b852db0f5b053365154fee93907a3f6618207cb250cd2422",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 17668000000,
"index": 7,
"globalIndex": 17684918,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
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{
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"index": 0,
"amount": 88344,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0c113ff765e2957bb503b563a325581292654764e60b3d4784874283107e08e4",
"mainChain": true
},
{
"boxId": "09742b0104a4945fbf066724f68db96e400f2de21b3980b87368306be71e499e",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 1503000000,
"index": 8,
"globalIndex": 17684919,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
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{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 7523,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "65e59b3c3a5e5086f519ffebbf177bf5f8d62e0311a1a2f5b803af45f3cab27f",
"mainChain": true
},
{
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"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 40000000,
"index": 9,
"globalIndex": 17684920,
"creationHeight": 768540,
"settlementHeight": 768542,
"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": "48abfd9ea5637b2d689c2a069a34344f63fe86a56ffb4093889ec96801e7c3aa",
"mainChain": true
},
{
"boxId": "bb25976cbe6d83cfa4fca1ab6147389171c1e05bc68681fefb687653c5aa8432",
"transactionId": "09413315684870ff7b1dca08f8c168e04a980ff4e5a453859fe5acfd66f7be1e",
"blockId": "ddb984e6002c9320869c7ed8398e9f510cdcfeefd580605e2b98a1b1766a3283",
"value": 593700000,
"index": 10,
"globalIndex": 17684921,
"creationHeight": 768540,
"settlementHeight": 768542,
"ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
"address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8f800509034ef25080483c7849372d80eacdb305696f6780bc1479c9a2c5e284",
"mainChain": true
}
],
"size": 8116,
"isUnconfirmed": false
}