Transaction
ID: e55ae10e4e...b031
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
63.03 ERG
Outputs (9)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.88 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.34 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.93 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.41 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
37.34 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.5 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.03 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.6029 ERG
Transaction Details
Confirmations: 994,633
Total coins transferred: 63.03 ERG
Fees: 0.03 ERG
Fees per byte: 0.000004779 ERG
Raw Transaction Data
{
"id": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"inclusionHeight": 772531,
"timestamp": 1655294321734,
"index": 2,
"globalIndex": 3364208,
"numConfirmations": 994633,
"inputs": [
{
"boxId": "d79f95a94b3f9174f9f651840ba35de5aba02a898d6f223296338b10e4871616",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "30dd3096bbacad66d326f2f8d7cfc0d87e1b443fec7332232ada63297295aff3",
"outputTransactionId": "2fbf8e887412f89df260390e6dc424a8c5154886611b8a9915ee1f722fa16a3a",
"outputIndex": 0,
"outputGlobalIndex": 17875878,
"outputCreatedAt": 771843,
"outputSettledAt": 771845,
"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": 1993759179,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
}
}
},
{
"boxId": "436f0e721d52324b22975b20ddfa0a547a023daef33a5eacc31cec825f4a850f",
"value": 63032900000,
"index": 1,
"spendingProof": "33f9c6f47ca6e23acddc7575fc1aef525f6d5728324bc2aa29e7b57d85bc584b439c7b5a3a8f823d85df46944ce19e53a31e344a083d66b0",
"outputBlockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"outputTransactionId": "799b8d2c49cfe63f065de4ad9fb48a0349a426ed8efc222ed1d32216f8763672",
"outputIndex": 0,
"outputGlobalIndex": 17914218,
"outputCreatedAt": 772528,
"outputSettledAt": 772531,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "84c349ed0c934a5517eb969a81b64886fcc2d8633341098a4f6e9db4dce998bd",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 1000000,
"index": 0,
"globalIndex": 17914222,
"creationHeight": 772528,
"settlementHeight": 772531,
"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": "99kDyN8Q4K2PHYqyziaCoZLJPgwELcfUF3oTkLZn5HmyWghT4mhZrZWxg6HYuSRtJcvpRXzXXKegvgx2dFh6bQ6qKBYZHyw3UKB5BVZBbASUQGZLuiJT5xkFCNae8nNNkPApjdrGxiMsX5fSb2Miv1y4qLzanbhugJJoxB32RYmw9ca1EMAjwjGeJLbef7pMydCzCQ6MVbXWMbgbFyBqpc8SAjpch7tSRWJWGzZ4ved5u7GxeWw5mvNaK6Rb7d4wmSzzjPmZNNjg8QuzPyLDtYhLh7Qne16nnqs7infsVNjnjgBco4DgYHEFGEZqPa8GDu6va37tLGNwY9beU4xtyY2dWpPSfrG7RgcpToGXtzd1fkcE8uj8jq7Lg8fousoTWapg8ZEvEzwmQT8iXv85WYwWYmKCdehfw4HhMYko7T5i4bSXwuwch17DwhtodUCNMn1D58gaoXAKEd8joW31aYM8zD6c5eFzArh62kjSV8mSYRU1AeRBdVjByGtEcP3KeQkqRsmrmadhETwkcoEu",
"assets": [
{
"tokenId": "1f29b1a6a5d698e50709d72f22c3611cfed74b57cce122f82632c22263ebde51",
"index": 0,
"amount": 1,
"name": "COMET Emission Box NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 1993447167,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
}
},
"spentTransactionId": "bb80cb62adf58ddd8cc4ec8a03dfb51feb2091296b98b23d67d9ffba83532393",
"mainChain": true
},
{
"boxId": "614d2c42809fbacbd30166905a6b5f298f4f8338cc83b885dea992697a466054",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 5884000000,
"index": 1,
"globalIndex": 17914223,
"creationHeight": 772528,
"settlementHeight": 772531,
"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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{
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"index": 0,
"amount": 29419,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cb3acba1669247a53f1573e9d80bc0a0593a62bc816ef75b3522f7e9a77971fc",
"mainChain": true
},
{
"boxId": "5d9322a7b54c0aae942396b5a3d4383b048d598301e35aee04cf871c085320ab",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 7342000000,
"index": 2,
"globalIndex": 17914224,
"creationHeight": 772528,
"settlementHeight": 772531,
"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": 36714,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "da78b2d52e63fda5637d25e42d748229cf05f514a0cea8319f9e588b62645015",
"mainChain": true
},
{
"boxId": "2fcc3414dd193ee6c76eb49cd4ff5933212f1fb35b79bf05f8d01417b46e1722",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 1928000000,
"index": 3,
"globalIndex": 17914225,
"creationHeight": 772528,
"settlementHeight": 772531,
"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": 9643,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5cf06f00738fd9c816c924ca8eb997195b7db666b5d728346acef5e870cc6e90",
"mainChain": true
},
{
"boxId": "d9e0750b774351e8eff661d537653ca53b1184c01efdaa4b3155c15615d6082f",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 6405000000,
"index": 4,
"globalIndex": 17914226,
"creationHeight": 772528,
"settlementHeight": 772531,
"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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{
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"index": 0,
"amount": 32028,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ad17bf7417fd687ae52e0a3543590490a586de31d300f33307fc4840a55d6604",
"mainChain": true
},
{
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"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
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"value": 37340000000,
"index": 5,
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"creationHeight": 772528,
"settlementHeight": 772531,
"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": 186700,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ddcf826558a54a3886952b879cd56a51a37ed3ea410f28cd76850e17e63af903",
"mainChain": true
},
{
"boxId": "5012b3f05650cdc36126badf2268bd8a3c14a2ab8b8e986d6f2d22ee18b59040",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 3501000000,
"index": 6,
"globalIndex": 17914228,
"creationHeight": 772528,
"settlementHeight": 772531,
"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": 17508,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "f106397af0d74da23e0f5121fe2ee8ef952b4012e60e85699170684093ca9c72",
"mainChain": true
},
{
"boxId": "1a925c8f3d204d10906e933473eac20b16df94633d827cdacffef218261afaa8",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 30000000,
"index": 7,
"globalIndex": 17914229,
"creationHeight": 772528,
"settlementHeight": 772531,
"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": "a3964e9dcb1a4e05cfd906fde74788081ed078d0341464bdd4f0bc8bc8fbe6b8",
"mainChain": true
},
{
"boxId": "799359a2ee2c97bb1aa3f822347e8db9b6904fee109af3528989b1e2472706f8",
"transactionId": "e55ae10e4e0a27b6d31ca36b0fd8a62b2567a36170d5576b5934bce1088ab031",
"blockId": "57629db0238619778ff883bfe935c60b771cd437fcf8ddb4d6ddf90f5b9c07e9",
"value": 602900000,
"index": 8,
"globalIndex": 17914230,
"creationHeight": 772528,
"settlementHeight": 772531,
"ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
"address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c302f77459718cb669ef235a8f1f9afd39670b277d592b1735f0bfac434d2cf3",
"mainChain": true
}
],
"size": 6278,
"isUnconfirmed": false
}