Transaction
ID: b87dc219ae...cc39
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
2.62 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.983 ERG
Outputs (11)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.53 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.985 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.254 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.659 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.017 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 1,010,371
Total coins transferred: 3.63 ERG
Fees: 0.017 ERG
Fees per byte: 0.000004704 ERG
Raw Transaction Data
{
"id": "b87dc219ae64585ca8be2bb58522ba2b0eba7340e347a0f7a736e4e7f504cc39",
"blockId": "bde15c73a9a40faae0b3b25834bccce22908446519dc070d1e0e6812c9f54c40",
"inclusionHeight": 745819,
"timestamp": 1652103891989,
"index": 7,
"globalIndex": 3152845,
"numConfirmations": 1010371,
"inputs": [
{
"boxId": "30c4be001164d39f9a91a3ad1d00a9d631a67a53fc0994a9b3fa847585677961",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6a364cf8522179af9429646227a98d1ea937d7e56767e3c42156c4df263ee3aa",
"outputTransactionId": "7a46161e5da9acd8d6edf62d65d6d5f8667f99cf0049edea364900c29942fe44",
"outputIndex": 0,
"outputGlobalIndex": 16521471,
"outputCreatedAt": 745765,
"outputSettledAt": 745768,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: false\n5: false\n6: 0\n7: -1\n8: false\n9: 1\n10: false\n11: 0\n12: 1\n13: 0\n14: 1\n15: 1\n16: 2\n17: 2\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: false\n26: false\n27: true",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Long]]\n val opt2 = SELF.R8[Coll[(Coll[Byte], Coll[Byte])]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, SELF.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(placeholder[Int](0)) == SELF\n )\n )\n val box4 = INPUTS(placeholder[Int](1))\n val opt5 = box4.R5[Coll[(Coll[Byte], Coll[Byte])]]\n val opt6 = box4.R4[Coll[(Coll[Byte], Coll[Long])]]\n val box7 = OUTPUTS(placeholder[Int](2))\n val opt8 = box7.R7[Coll[Long]]\n val coll9 = box7.tokens\n if (bool3) {\n sigmaProp(\n if (if (if (if (bool3) { opt2.get.exists({(tuple10: (Coll[Byte], Coll[Byte])) => tuple10._1 == INPUTS(placeholder[Int](3)).propositionBytes }) } else {\n placeholder[Boolean](4)\n }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box4.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, box4.R7[Coll[Long]].isDefined, box4.R8[Coll[(Coll[Byte], Coll[Byte])]].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n opt5.get.forall(\n {(tuple10: (Coll[Byte], Coll[Byte])) =>\n opt6.get.map({(tuple12: (Coll[Byte], Coll[Long])) => tuple12._1 }).indexOf(tuple10._1, placeholder[Int](6)) != placeholder[Int](7)\n }\n )\n } else { placeholder[Boolean](8) } && if (if (box7.propositionBytes == SELF.propositionBytes) {\n allOf(\n Coll[Boolean](\n box7.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box7.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, box7.R7[Coll[Long]].isDefined, box7.R8[\n Coll[(Coll[Byte], Coll[Byte])]\n ].isDefined, box7.value == SELF.value, box7.tokens.size == placeholder[Int](9)\n )\n )\n } else { placeholder[Boolean](10) }) {(\n val coll10 = opt8.get\n val coll11 = opt1.get\n val l12 = coll11(placeholder[Int](11))\n val l13 = coll10(placeholder[Int](12))\n (\n ((coll10(placeholder[Int](13)) == l12 + placeholder[Long](14)) && ((l13 <= HEIGHT.toLong) && (l13 > coll11(placeholder[Int](15))))) && (\n coll10(placeholder[Int](16)) == coll11(placeholder[Int](17))\n )\n ) && if (l12 != placeholder[Long](18)) { SELF.tokens(placeholder[Int](19))._1 == coll9(placeholder[Int](20))._1 } else {(\n val coll14 = SELF.tokens\n if (coll14.size > placeholder[Int](21)) { coll14(placeholder[Int](22))._1 == coll9(placeholder[Int](23))._1 } else {\n coll9(placeholder[Int](24))._1 == SELF.id\n }\n )}\n )} else { placeholder[Boolean](25) }) {\n allOf(\n Coll[Boolean](\n box7.R4[Coll[(Coll[Byte], Coll[Long])]].get == opt6.get, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].get == opt5.get, box7.R6[\n Coll[(Coll[Byte], Int)]\n ].get == box4.R6[Coll[(Coll[Byte], Int)]].get, opt8.get == box4.R7[Coll[Long]].get, box7.R8[Coll[(Coll[Byte], Coll[Byte])]].get == box4.R8[\n Coll[(Coll[Byte], Coll[Byte])]\n ].get\n )\n )\n } else { placeholder[Boolean](26) }\n )\n } else { sigmaProp(placeholder[Boolean](27)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "c6b75f607ff08d76ae1acb78564e5b928ccd96b8b4dbcad161d6206db7e608c0",
"index": 0,
"amount": 1,
"name": "GetBlok.io SmartPool Display Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,]]"
},
"R6": {
"serializedValue": "0c4c0e03240008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd06240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202706240008cd026dd353119c75189796b3fb01c60289399f5fa2e7e115f4d8e3ffcc0a4ba5326906",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd,3],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,3],[0008cd026dd353119c75189796b3fb01c60289399f5fa2e7e115f4d8e3ffcc0a4ba53269,3]]"
},
"R8": {
"serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
},
"R7": {
"serializedValue": "1104fa0bca845baaf95020",
"sigmaType": "Coll[SLong]",
"renderedValue": "[765,745765,663125,16]"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,[6046,100000000,75000000,0,0]],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,[0,2000000000,574000000,1,0]],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,[5769,100000000,0,0,0]],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,[19016,110000000,0,0,0]],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,[126663,100000000,0,0,0]],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,[51644,100000000,0,0,0]],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,[0,1000000000,334000000,1,0]]]"
}
}
},
{
"boxId": "f82e1505a1eaac36f3a6a09190943a2c86de70edf34ac95ed03f7082d26c04a6",
"value": 10000000,
"index": 1,
"spendingProof": "9565aa8fd9b409fb5c808ba5841a1b8f718fc68c84765b7e111de9f43120a5300044e1550cf2954d1dca03a295fb3ffd4d51e24f9f4b643b",
"outputBlockId": "79089636be8f589c3a869bb5fac8e9e1cbf8d8d7fe469bf0a0505f20795f62e6",
"outputTransactionId": "6f9303bec39fe686e8ebc7c1f93c4452fbd1267dc18148ca1e7544b3554b8f0b",
"outputIndex": 2,
"outputGlobalIndex": 16524054,
"outputCreatedAt": 745816,
"outputSettledAt": 745818,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,]]"
},
"R6": {
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"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd,3],[0008cd026dd353119c75189796b3fb01c60289399f5fa2e7e115f4d8e3ffcc0a4ba53269,3],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,3]]"
},
"R8": {
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"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
},
"R7": {
"serializedValue": "1104fc0bb0855baaf95020",
"sigmaType": "Coll[SLong]",
"renderedValue": "[766,745816,663125,16]"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,[5833,100000000,0,0,0]],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,[0,2000000000,574000000,2,0]],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,[6068,100000000,77000000,0,0]],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,[19999,110000000,0,0,0]],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,[120360,100000000,0,0,0]],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,[51900,100000000,0,0,0]],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,[0,1000000000,334000000,2,0]]]"
}
}
},
{
"boxId": "87975d86cfc3c97b5a5991bbe4b358889de633dc971706e6f7d6aed547a1f3d8",
"value": 2622000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1d48f882a4a48359b580630ccb6bcac70dd57f88ce223627da31d5ac0ab28cdb",
"outputTransactionId": "631c3edcea3e53a7b2ff19001a98ce36046838089f74c46e397e7d0ca23b1481",
"outputIndex": 1,
"outputGlobalIndex": 16523788,
"outputCreatedAt": 745808,
"outputSettledAt": 745810,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-58,-73,95,96,127,-16,-115,118,-82,26,-53,120,86,78,91,-110,-116,-51,-106,-72,-76,-37,-54,-47,97,-42,32,109,-73,-26,8,-64)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n val i3 = coll2.size\n val box4 = INPUTS(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n (tuple11._1, l13 - l13 % placeholder[Long](15))\n })\n val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n val coll16 = tuple14._2\n coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n val coll17 = tuple15._1\n val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n val coll19 = tuple15._2\n val l20 = {(l20: Long) =>\n val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n l22 - l22 % placeholder[Long](24)\n }(coll19(placeholder[Int](25)))\n val l21 = coll19(placeholder[Int](26))\n val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n val l23 = coll19(placeholder[Int](28))\n if (i18 != placeholder[Int](29)) {(\n val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n val l17 = tuple15._2\n if (l17 > placeholder[Long](39)) {(\n val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n val coll15 = box4.tokens\n if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n )}\n )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "5d6290503aadf3f4d2c241838234950c150d2211c8491ad4b921a9c9a094c1f8",
"value": 983000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6a364cf8522179af9429646227a98d1ea937d7e56767e3c42156c4df263ee3aa",
"outputTransactionId": "7a46161e5da9acd8d6edf62d65d6d5f8667f99cf0049edea364900c29942fe44",
"outputIndex": 1,
"outputGlobalIndex": 16521472,
"outputCreatedAt": 745765,
"outputSettledAt": 745768,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-58,-73,95,96,127,-16,-115,118,-82,26,-53,120,86,78,91,-110,-116,-51,-106,-72,-76,-37,-54,-47,97,-42,32,109,-73,-26,8,-64)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n val i3 = coll2.size\n val box4 = INPUTS(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n (tuple11._1, l13 - l13 % placeholder[Long](15))\n })\n val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n val coll16 = tuple14._2\n coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n val coll17 = tuple15._1\n val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n val coll19 = tuple15._2\n val l20 = {(l20: Long) =>\n val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n l22 - l22 % placeholder[Long](24)\n }(coll19(placeholder[Int](25)))\n val l21 = coll19(placeholder[Int](26))\n val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n val l23 = coll19(placeholder[Int](28))\n if (i18 != placeholder[Int](29)) {(\n val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n val l17 = tuple15._2\n if (l17 > placeholder[Long](39)) {(\n val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n val coll15 = box4.tokens\n if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n )}\n )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "801bf34de48478d045a80447040f2a5b8398e3d6faa1f4299bb1c5d1ad8a9de7",
"transactionId": "b87dc219ae64585ca8be2bb58522ba2b0eba7340e347a0f7a736e4e7f504cc39",
"blockId": "bde15c73a9a40faae0b3b25834bccce22908446519dc070d1e0e6812c9f54c40",
"value": 10000000,
"index": 0,
"globalIndex": 16524276,
"creationHeight": 745816,
"settlementHeight": 745819,
"ergoTree": "101c0400040204000402010001000400040101000402010004000402040005020402040404040500040004000400040004000400010001000101d809d601c6a70711d602c6a7080c3c0e0ed60396830601e6c6a7040c3c0e11e6c6a7050c3c0e0ee6c6a7060c4c0ee67201e6720293b2a4730000a7d604b2a4730100d605c67204050c3c0e0ed606c67204040c3c0e11d607b2a5730200d608c672070711d609db63087207957203d195ed9595957203aee47202d9010a3c0e0e938c720a01c2b2a4730300730496830501e6c67204040c3c0e11e6c67204050c3c0e0ee6c67204060c4c0ee6c672040711e6c67204080c3c0e0e7305afe47205d9010a3c0e0e94dc0c1aade47206d9010c3c0e118c720c01028c720a01730673077308959593c27207c2a796830701e6c67207040c3c0e11e6c67207050c3c0e0ee6c67207060c4c0ee6c672070711e6c67207080c3c0e0e93c17207c1a793b1db630872077309730ad804d60ae47208d60be47201d60cb2720b730b00d60db2720a730c00ededed93b2720a730d009a720c730eed90720d7ea30591720db2720b730f0093b2720a731000b2720b7311009594720c7312938cb2db6308a7731300018cb2720973140001d801d60edb6308a79591b1720e7315938cb2720e731600018cb2720973170001938cb2720973180001c5a773199683050193e4c67207040c3c0e11e4720693e4c67207050c3c0e0ee4720593e4c67207060c4c0ee4c67204060c4c0e93e47208e4c67204071193e4c67207080c3c0e0ee4c67204080c3c0e0e731ad1731b",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: false\n5: false\n6: 0\n7: -1\n8: false\n9: 1\n10: false\n11: 0\n12: 1\n13: 0\n14: 1\n15: 1\n16: 2\n17: 2\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: false\n26: false\n27: true",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Long]]\n val opt2 = SELF.R8[Coll[(Coll[Byte], Coll[Byte])]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, SELF.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(placeholder[Int](0)) == SELF\n )\n )\n val box4 = INPUTS(placeholder[Int](1))\n val opt5 = box4.R5[Coll[(Coll[Byte], Coll[Byte])]]\n val opt6 = box4.R4[Coll[(Coll[Byte], Coll[Long])]]\n val box7 = OUTPUTS(placeholder[Int](2))\n val opt8 = box7.R7[Coll[Long]]\n val coll9 = box7.tokens\n if (bool3) {\n sigmaProp(\n if (if (if (if (bool3) { opt2.get.exists({(tuple10: (Coll[Byte], Coll[Byte])) => tuple10._1 == INPUTS(placeholder[Int](3)).propositionBytes }) } else {\n placeholder[Boolean](4)\n }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box4.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, box4.R7[Coll[Long]].isDefined, box4.R8[Coll[(Coll[Byte], Coll[Byte])]].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n opt5.get.forall(\n {(tuple10: (Coll[Byte], Coll[Byte])) =>\n opt6.get.map({(tuple12: (Coll[Byte], Coll[Long])) => tuple12._1 }).indexOf(tuple10._1, placeholder[Int](6)) != placeholder[Int](7)\n }\n )\n } else { placeholder[Boolean](8) } && if (if (box7.propositionBytes == SELF.propositionBytes) {\n allOf(\n Coll[Boolean](\n box7.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box7.R6[\n Coll[(Coll[Byte], Int)]\n ].isDefined, box7.R7[Coll[Long]].isDefined, box7.R8[\n Coll[(Coll[Byte], Coll[Byte])]\n ].isDefined, box7.value == SELF.value, box7.tokens.size == placeholder[Int](9)\n )\n )\n } else { placeholder[Boolean](10) }) {(\n val coll10 = opt8.get\n val coll11 = opt1.get\n val l12 = coll11(placeholder[Int](11))\n val l13 = coll10(placeholder[Int](12))\n (\n ((coll10(placeholder[Int](13)) == l12 + placeholder[Long](14)) && ((l13 <= HEIGHT.toLong) && (l13 > coll11(placeholder[Int](15))))) && (\n coll10(placeholder[Int](16)) == coll11(placeholder[Int](17))\n )\n ) && if (l12 != placeholder[Long](18)) { SELF.tokens(placeholder[Int](19))._1 == coll9(placeholder[Int](20))._1 } else {(\n val coll14 = SELF.tokens\n if (coll14.size > placeholder[Int](21)) { coll14(placeholder[Int](22))._1 == coll9(placeholder[Int](23))._1 } else {\n coll9(placeholder[Int](24))._1 == SELF.id\n }\n )}\n )} else { placeholder[Boolean](25) }) {\n allOf(\n Coll[Boolean](\n box7.R4[Coll[(Coll[Byte], Coll[Long])]].get == opt6.get, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].get == opt5.get, box7.R6[\n Coll[(Coll[Byte], Int)]\n ].get == box4.R6[Coll[(Coll[Byte], Int)]].get, opt8.get == box4.R7[Coll[Long]].get, box7.R8[Coll[(Coll[Byte], Coll[Byte])]].get == box4.R8[\n Coll[(Coll[Byte], Coll[Byte])]\n ].get\n )\n )\n } else { placeholder[Boolean](26) }\n )\n } else { sigmaProp(placeholder[Boolean](27)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "c6b75f607ff08d76ae1acb78564e5b928ccd96b8b4dbcad161d6206db7e608c0",
"index": 0,
"amount": 1,
"name": "GetBlok.io SmartPool Display Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,]]"
},
"R6": {
"serializedValue": "0c4c0e03240008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd06240008cd026dd353119c75189796b3fb01c60289399f5fa2e7e115f4d8e3ffcc0a4ba5326906240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202706",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd,3],[0008cd026dd353119c75189796b3fb01c60289399f5fa2e7e115f4d8e3ffcc0a4ba53269,3],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,3]]"
},
"R8": {
"serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
},
"R7": {
"serializedValue": "1104fc0bb0855baaf95020",
"sigmaType": "Coll[SLong]",
"renderedValue": "[766,745816,663125,16]"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd0218d2f8e0a33dfa4acdc78d641f09d7d0a54c75a1f2c28b3bcbafddc0030fa585,[5833,100000000,0,0,0]],[0008cd025370b241b34d9d8c00acdd53171aba5c9bdfc0b33795ec1357711506cce4e3e0,[0,2000000000,574000000,2,0]],[0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd,[6068,100000000,77000000,0,0]],[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,[19999,110000000,0,0,0]],[0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18,[120360,100000000,0,0,0]],[0008cd03f75e69a62426bcd55c6ab484c65810c8bb3b09751e858ff750e32835ab01a807,[51900,100000000,0,0,0]],[0008cd02ed0c806e381091783ed0f0ba4d7861a24c1dae2a4f1f9c22fed1f4840e87464f,[0,1000000000,334000000,2,0]]]"
}
},
"spentTransactionId": "4fb351eefd4929d38c1c9aabe156936de2da616c72dafff8ee7c0b4c20a32c2f",
"mainChain": true
},
{
"boxId": "fe15037ca0c70af4973d6e938e335bf788dfefa519758f21106bfb4d767bc69b",
"transactionId": "b87dc219ae64585ca8be2bb58522ba2b0eba7340e347a0f7a736e4e7f504cc39",
"blockId": "bde15c73a9a40faae0b3b25834bccce22908446519dc070d1e0e6812c9f54c40",
"value": 1529000000,
"index": 1,
"globalIndex": 16524277,
"creationHeight": 745816,
"settlementHeight": 745819,
"ergoTree": "0008cd02ebd2e0abf40ebccaf9d972f4daead680ae6dd028f6eccb26b429c32a811fee18",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ebd2e0,313359,...)))}",
"address": "9gJvKHBkMrU1vyxwdAJRVANDYKrBuVDWmB9vaCmvJEgAxbrvNvg",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "22471244c7e4e86ef8bf61a89d03a249286baa57a2cb16cb0bee361de4dcc199",
"mainChain": true
},
{
"boxId": "6ad4f669c5b5883d399ab64970a4c70d2eed178424de6756da060f1ec6859eeb",
"transactionId": "b87dc219ae64585ca8be2bb58522ba2b0eba7340e347a0f7a736e4e7f504cc39",
"blockId": "bde15c73a9a40faae0b3b25834bccce22908446519dc070d1e0e6812c9f54c40",
"value": 985000000,
"index": 2,
"globalIndex": 16524278,
"creationHeight": 745816,
"settlementHeight": 745819,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-58,-73,95,96,127,-16,-115,118,-82,26,-53,120,86,78,91,-110,-116,-51,-106,-72,-76,-37,-54,-47,97,-42,32,109,-73,-26,8,-64)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n val i3 = coll2.size\n val box4 = INPUTS(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n (tuple11._1, l13 - l13 % placeholder[Long](15))\n })\n val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n val coll16 = tuple14._2\n coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n val coll17 = tuple15._1\n val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n val coll19 = tuple15._2\n val l20 = {(l20: Long) =>\n val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n l22 - l22 % placeholder[Long](24)\n }(coll19(placeholder[Int](25)))\n val l21 = coll19(placeholder[Int](26))\n val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n val l23 = coll19(placeholder[Int](28))\n if (i18 != placeholder[Int](29)) {(\n val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n val l17 = tuple15._2\n if (l17 > placeholder[Long](39)) {(\n val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n val coll15 = box4.tokens\n if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n )}\n )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "4fb351eefd4929d38c1c9aabe156936de2da616c72dafff8ee7c0b4c20a32c2f",
"mainChain": true
},
{
"boxId": "156348be06ac216b2359ad677c3bf440baeec75d6d5c0285b293b50f71eda719",
"transactionId": "b87dc219ae64585ca8be2bb58522ba2b0eba7340e347a0f7a736e4e7f504cc39",
"blockId": "bde15c73a9a40faae0b3b25834bccce22908446519dc070d1e0e6812c9f54c40",
"value": 7000000,
"index": 3,
"globalIndex": 16524279,
"creationHeight": 745816,
"settlementHeight": 745819,
"ergoTree": "0008cd0287352ce40ff53154c5b3751a661908d3ca99edbb198e7ebb63d1d00e580f2efd",
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