Transaction
ID: 0471f95e32...072f
Inputs (14)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
900
Spent
Address:
Output transaction:
Settlement height:
Value:
1.73 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
2,000,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.74 ERG
Tokens:
2,001,002.58
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 627,791
Total coins transferred: 2.74 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000498 ERG
Raw Transaction Data
{
"id": "0471f95e3205261c003bc6cd13fbe18660e620d1eaf88b3a932674e64cd3072f",
"blockId": "eb6ec10c38f36d580e775f5fae60fdf2f512ccae5d63d78fdd91ca4f0e65feb2",
"inclusionHeight": 1139412,
"timestamp": 1700573540201,
"index": 88,
"globalIndex": 6152122,
"numConfirmations": 627791,
"inputs": [
{
"boxId": "486a054ce204719a16ddb2daa99de6185ceb361ec955cc03b0596f78b9e8dbc3",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0ce1b8be7a6f986f9b0b3b8b9893fede924f75ef0e152c1fe5058e394c6cbddc",
"outputTransactionId": "6a9ee099200cb8423430ab95ba431d1486e0f9e65bf42bbe212b94d0ecca7e70",
"outputIndex": 0,
"outputGlobalIndex": 34453615,
"outputCreatedAt": 1139397,
"outputSettledAt": 1139399,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(98,94,124,37,-57,-19,-115,-33,20,105,-39,-2,67,-105,-54,70,45,-116,98,121,-100,-85,-127,-58,-111,120,77,-101,-94,-112,-2,-25)\n3: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-76,83,-5,-21,-64,-66,-99,-64,-80,52,-35,97,-96,-98,55,32,80,114,80,-13,-78,16,13,16,-85,-102,-26,-47,95,121,102,80)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-loen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 1,
"amount": 990090000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 2,
"amount": 9910001,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b,d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa,c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e,04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6,4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad,f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3,db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7,297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7,8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9,524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
},
"R5": {
"serializedValue": "110b00e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec7880897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,990000,990000,990000,990000,990000,990000,990000,990000,990000,1000000]"
},
"R6": {
"serializedValue": "1106a09c018c01022880a8d6b90780d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,1000000000,2000000000]"
},
"R7": {
"serializedValue": "040c",
"sigmaType": "SInt",
"renderedValue": "6"
}
}
},
{
"boxId": "14b4c65516b6c5eee2a1ce1397d030e9041f8ba77c12e929058c5cbefc7fd3a8",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d23919d83659d78e1d4b8d6f6a8d02ad27cdaaad9ccc078335147abe2656fee8",
"outputTransactionId": "0cbcc1b9e007a4c9cb8f46f5303a1916b9ffcff63c87b603164a980a083c0db3",
"outputIndex": 0,
"outputGlobalIndex": 34268241,
"outputCreatedAt": 1134272,
"outputSettledAt": 1134274,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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}
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
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{
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"spendingProof": "2ecebc2346c48b41150f1b4475ffd1099804a5d6cfb1f1e618d739179061157659644bff0a0806f4b92286aee9e76acb1515734a5f40b67b",
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"outputTransactionId": "0cbcc1b9e007a4c9cb8f46f5303a1916b9ffcff63c87b603164a980a083c0db3",
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"outputGlobalIndex": 34268243,
"outputCreatedAt": 1134272,
"outputSettledAt": 1134274,
"ergoTree": "0008cd038b320825a5fdeaa1cf0b4c44db1f741e820795bab33c6bb6f3c7427d86e25262",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8b3208,628371,...)))}",
"address": "9hX7Fa9fs1c6dY3zQnKB6iiiPLRYuTPJbejZvPvDK6V9MJzGJz9",
"assets": [
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"index": 0,
"amount": 1,
"name": "WID-MJzGJz9",
"decimals": 0,
"type": "EIP-004"
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},
{
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"value": 1000000000,
"index": 3,
"spendingProof": null,
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"outputTransactionId": "0599a2b1d8db8cfbe4c0f661cc1b1d834964ac89e9759d95ac288f430c45cc90",
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"outputGlobalIndex": 34180845,
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"ergoTree": "10070400040004010404040004000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3d805d601e4c6a7040ed602b2a4730000d603b2a5730100d604e5c6720307047302d605e4c67203041ad196830401938cb2db6308b2a473030073040001720193b2e4c67202041a7204007201ec93b17205720494b272057204007201938cb2db63087202730500017306",
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"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = OUTPUTS(placeholder[Int](1))\n val i4 = box3.R7[Int].getOrElse(placeholder[Int](2))\n val coll5 = box3.R4[Coll[Coll[Byte]]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == coll1, box2.R4[Coll[Coll[Byte]]].get(i4) == coll1, (coll5.size == i4) || (\n coll5(i4) != coll1\n ), box2.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)\n )\n )\n )\n}",
"address": "2DxRv75maq3FewTq4mCgRzJPaGfyyWsaJkBQ1syuTg1XZg9avspmm9c6nMVn2ix7WMEq7xZ6QUczkEN8rJFEiY7eG7vP7zg4YC53UKLdHLRnEQfx2Nb3A2iBq4AN216eMcxVEzeqDqenSRd3bjnJVXsJp8SeynUSnk5brnsD2rrjsQTQzwAZi57xQn3a93Gsqt8mDmauRhixCsPGHV4Fqv3hq",
"assets": [
{
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"index": 0,
"amount": 2000000000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952"
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{
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"index": 4,
"spendingProof": null,
"outputBlockId": "1aace28956c2ad7e2492597bcedff0010010651ed8712fbe8a163a2808f4dafc",
"outputTransactionId": "736c8f69164b4cf8f2fcd3feec2bb40ea70a97d06f3cb2658406b5a6e84c9c40",
"outputIndex": 7,
"outputGlobalIndex": 34273276,
"outputCreatedAt": 1134377,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
"boxId": "10c13f7caaaa677c6a864075de3c6de9e610cf8561003b6ac75b5a981821e4f3",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "1aace28956c2ad7e2492597bcedff0010010651ed8712fbe8a163a2808f4dafc",
"outputTransactionId": "cabbab5aae421b3dd38d1ca05a4b0a9a8f709d61ba6b065958e4250cd142cf01",
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"outputCreatedAt": 1134377,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
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"index": 6,
"spendingProof": null,
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"outputTransactionId": "31e11ebf31421121a037964be8989e377e19f558ba53f8899f5957f318fa2703",
"outputIndex": 0,
"outputGlobalIndex": 34273577,
"outputCreatedAt": 1134383,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
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"value": 1100000,
"index": 7,
"spendingProof": null,
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"outputTransactionId": "d2072694a28ae0454203feae6934e46a8dc6da9dfdc7b04faada8aba61725663",
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"outputGlobalIndex": 34273619,
"outputCreatedAt": 1134378,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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{
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"name": "RSN-loen",
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"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
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{
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"index": 8,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
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"index": 9,
"spendingProof": null,
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"outputTransactionId": "bb8970f4e0e555c4de75ff7bf258ff45c45b99a072ae8ed83bf8cdd289ed6be5",
"outputIndex": 4,
"outputGlobalIndex": 34297944,
"outputCreatedAt": 1134387,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
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"value": 1100000,
"index": 10,
"spendingProof": null,
"outputBlockId": "824b7a3704033489dddb135c138e70dfdd0f9839be27064f8ddfb92308238cca",
"outputTransactionId": "cca8180a9890fd0ff734bc305977aba2333bad96eb5f6d55d0a2a0f093cfad36",
"outputIndex": 0,
"outputGlobalIndex": 34297954,
"outputCreatedAt": 1134377,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
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"value": 1100000,
"index": 11,
"spendingProof": null,
"outputBlockId": "824b7a3704033489dddb135c138e70dfdd0f9839be27064f8ddfb92308238cca",
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"outputGlobalIndex": 34297974,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 888,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
"boxId": "deaf84e5a33a27025ea0695a4623f7a4ae7c60d10771f23e590fb83ff3071e98",
"value": 1100000,
"index": 12,
"spendingProof": null,
"outputBlockId": "824b7a3704033489dddb135c138e70dfdd0f9839be27064f8ddfb92308238cca",
"outputTransactionId": "8a85c317a8cbbb7dbb4bd8f859f42e8563e92c1f14e3a6597453a3907ed4db0a",
"outputIndex": 5,
"outputGlobalIndex": 34297989,
"outputCreatedAt": 1134377,
"outputSettledAt": 1135109,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
},
{
"boxId": "343b81a47d165ae23c0ed9876b705b984e7516a1bebb317209f64cf9759832d4",
"value": 1100000,
"index": 13,
"spendingProof": null,
"outputBlockId": "b1b21b7ae52f50bac17ae6e4552d18c14fe7157e05c8215e67afd42f825ddaa1",
"outputTransactionId": "3a4255cdfa83229ce986666ef11a2f5ddca261eccfd0f88acac2c53241314e6e",
"outputIndex": 5,
"outputGlobalIndex": 34299097,
"outputCreatedAt": 1135106,
"outputSettledAt": 1135113,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "20982a9a10cc6714148b04c77a350c7a8816f1d5a1db31db608adfc71fcbe467",
"transactionId": "0471f95e3205261c003bc6cd13fbe18660e620d1eaf88b3a932674e64cd3072f",
"blockId": "eb6ec10c38f36d580e775f5fae60fdf2f512ccae5d63d78fdd91ca4f0e65feb2",
"value": 1100000,
"index": 0,
"globalIndex": 34455856,
"creationHeight": 1139405,
"settlementHeight": 1139412,
"ergoTree": "102c040004000e20625e7c25c7ed8ddf1469d9fe4397ca462d8c62799cab81c691784d9ba290fee70e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d01010402040204040404040004010402040404000e20b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650040104020406040a0402040004000400040805000400010104020402040004000400040004020402040004000402040204000400040004000406d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047303d17304d813d606db6308a7d607b27206730500d6088c720702d609b27202730600d60a8c720902d60bb27202730700d60c8c720b02d60db27206730800d60e8c720d02d60f8c720701d610e4c6a70611d611b27206730900d6128c720d01d613e4c67201041ad614e4c672010511d615b17214d6169683070193c27201c2a793e4c67201061172109372048c721101938c7203028c721102938c720901720f938c720b01721293b172137215d617e4c6a70511d618b1721795917208720ad806d619e5c672010704730ad61a997208720ad61bb2a5730b00d61cb2a5730c00d61db2db6308721b730d00d61e96830501721693721a99720c720e938c721d02721a938c721d01720f93cbc2721b730e95937219730fd804d61f9972157310d620c5a7d621b2a5731100d622b27210731200d196830c01721e9372159a7218731393b472137314721fe4c6a7041a93b27213721f00722093b472147315721f721793b27214721f00721a93e4c6721b041a83010e7220938cb2db6308721c73160001722093cbc27221720593e4c67221040e722092c17221b27210731700959172227318d801d623b2db6308722173190096830201938c7223017212928c7223027222731ad803d61fe4c6a7041ad620b2721f721900d6219a7219731bd196830801721e9372208cb2db6308b2a4731c00731d0001937213721f93b272147219009ab27217721900721a93b47214731e7219b47217731f721993b4721472217215b472177221721593e4c6721b041a83010e7220938cb2db6308721c732000017220d804d619e4c6a7041ad61ae4c672010704d61b99720a7208d61cb27217721a00d19683040172169383010eb27219721a00e4c6b2a4732100041a93721b99720e720c9591721c721bd801d61d9a721a73229683040193721c9ab27214721a00721b937219721393b472177323721ab472147324721a93b47217721d7218b47214721d7218d801d61d9a721a732596830701937215997218732693721c721b93b472197327721ab472137328721a93b47219721d7218b47213721a721593b472177329721ab47214732a721a93b47217721d7218b47214721a721593cbc2b2a4732b007205",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(98,94,124,37,-57,-19,-115,-33,20,105,-39,-2,67,-105,-54,70,45,-116,98,121,-100,-85,-127,-58,-111,120,77,-101,-94,-112,-2,-25)\n3: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-76,83,-5,-21,-64,-66,-99,-64,-80,52,-35,97,-96,-98,55,32,80,114,80,-13,-78,16,13,16,-85,-102,-26,-47,95,121,102,80)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-loen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 1,
"amount": 991090000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 2,
"amount": 8910001,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b,d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa,c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e,04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6,4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad,f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3,db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7,297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7,8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9]"
},
"R5": {
"serializedValue": "110a00e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78e0ec78",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,990000,990000,990000,990000,990000,990000,990000,990000,990000]"
},
"R6": {
"serializedValue": "1106a09c018c01022880a8d6b90780d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,1000000000,2000000000]"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "83af9b9623c4ac1841596d2d7c3cd7b9a9d14d0a3d56f0e751beb12e405a285f",
"mainChain": true
},
{
"boxId": "4d7b5d4973549fedd94ffcd90f65af0053fe03813c68a1c4ae715c346c98ccaa",
"transactionId": "0471f95e3205261c003bc6cd13fbe18660e620d1eaf88b3a932674e64cd3072f",
"blockId": "eb6ec10c38f36d580e775f5fae60fdf2f512ccae5d63d78fdd91ca4f0e65feb2",
"value": 2737140000,
"index": 1,
"globalIndex": 34455857,
"creationHeight": 1139405,
"settlementHeight": 1139412,
"ergoTree": "0008cd038b320825a5fdeaa1cf0b4c44db1f741e820795bab33c6bb6f3c7427d86e25262",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8b3208,628371,...)))}",
"address": "9hX7Fa9fs1c6dY3zQnKB6iiiPLRYuTPJbejZvPvDK6V9MJzGJz9",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2001002576,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "8e21f2d8dcce19f07523fa4c5347bb12e7e8d1ff71a86508a46b31c6d7a637e8",
"mainChain": true
},
{
"boxId": "f43ed62714692a5dae0d5c80ae61bc95a2274e6d77f1fb2e09083c2daa3f7dc5",
"transactionId": "0471f95e3205261c003bc6cd13fbe18660e620d1eaf88b3a932674e64cd3072f",
"blockId": "eb6ec10c38f36d580e775f5fae60fdf2f512ccae5d63d78fdd91ca4f0e65feb2",
"value": 1100000,
"index": 2,
"globalIndex": 34455858,
"creationHeight": 1139405,
"settlementHeight": 1139412,
"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": "eeacd40a96cf9df5f40e6f335df5edd21e5f69b7c5d80bf5db7dd3be85875505",
"mainChain": true
}
],
"size": 2207,
"isUnconfirmed": false
}