Transaction
ID: 94324dfb22...a4f8
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
13.56 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
13.55 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
4
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
12.46
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
28.12
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
3
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
13.67
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
17.41
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
15.74
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Transaction Details
Confirmations: 653,289
Total coins transferred: 13.56 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000267 ERG
Raw Transaction Data
{
"id": "94324dfb225b0fe906e31505d9617b1b9e319dec5c9e48f27ece6f8692e8a4f8",
"blockId": "30ed5c404746e9281471373223774f4d85bac0bce5dcd893f280ab5f6e3ae64b",
"inclusionHeight": 1102692,
"timestamp": 1696125225508,
"index": 2,
"globalIndex": 5902944,
"numConfirmations": 653289,
"inputs": [
{
"boxId": "45f432d7c3c96cd6b73bad89900214630b9fb84710d9208a8d159acc13f9918a",
"value": 522000,
"index": 0,
"spendingProof": null,
"outputBlockId": "30ed5c404746e9281471373223774f4d85bac0bce5dcd893f280ab5f6e3ae64b",
"outputTransactionId": "70231adc76c700f002fb1110ecad656eb6ba25adf7f83261055e9de8bb7d4121",
"outputIndex": 0,
"outputGlobalIndex": 33105436,
"outputCreatedAt": 1102690,
"outputSettledAt": 1102692,
"ergoTree": "19c0062804000400040204020404040404060406040804080404040204000400040204020400040a050005000404040204020e200508f3623d4b2be3bdb9737b3e65644f011167eefb830d9965205f022ceda40d0400040205000402040204060500050005feffffffffffffffff01050005000402060101050005000100d81fd601b2a5730000d602db63087201d603db6308a7d604b27203730100d605e4c6a70410d606e4c6a70505d607e4c6a70605d608b27202730200d609b27203730300d60ab27202730400d60bb27203730500d60cb27202730600d60db27203730700d60e8c720d01d60fb27202730800d610b27203730900d6118c721001d6128c720b02d613998c720a027212d6148c720902d615b27205730a00d6169a99a37215730bd617b27205730c00d6189d72167217d61995919e72167217730d9a7218730e7218d61ab27205730f00d61b7e721a05d61c9d7206721bd61d998c720c028c720d02d61e8c721002d61f998c720f02721ed1ededededed93b272027310007204ededed93e4c672010410720593e4c672010505720693e4c6720106057207928cc77201018cc7a70193c27201c2a7ededed938c7208018c720901938c720a018c720b01938c720c01720e938c720f01721193b172027311959172137312d802d6209c721399721ba273137e721905d621b2a5731400ededed929a7e9972067214067e7207067e9c7e9995907219721a72199a721a7315731605721c06937213f0721d937220f0721fedededed93cbc272217317938602720e7213b2db6308722173180093860272117220b2db63087221731900e6c67221060893e4c67221070e8c720401958f7213731aededec929a7e9972067214067e7207067e9c7e9995907219721a72199a721a731b731c05721c0692a39a9a72159c721a7217b27205731d0093721df0721392721f95917219721a731e9c721d99721ba2731f7e721905d804d620e4c672010704d62199721a7220d6227e722105d62399997320721e9c7212722295ed917223732191721f7322edededed9072209972197323909972149c7222721c9a721c7207907ef0998c7208027214069d9c99997e7214069d9c7e7206067e7221067e721a0673247e721f067e722306937213732593721d73267327",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 5\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 3\n30: 0\n31: 0\n32: 9223372036854775807\n33: 0\n34: 0\n35: 1\n36: CBigInt(1)\n37: 0\n38: 0\n39: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](1))\n val coll5 = SELF.R4[Coll[Int]].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val tuple8 = coll2(placeholder[Int](2))\n val tuple9 = coll3(placeholder[Int](3))\n val tuple10 = coll2(placeholder[Int](4))\n val tuple11 = coll3(placeholder[Int](5))\n val tuple12 = coll2(placeholder[Int](6))\n val tuple13 = coll3(placeholder[Int](7))\n val coll14 = tuple13._1\n val tuple15 = coll2(placeholder[Int](8))\n val tuple16 = coll3(placeholder[Int](9))\n val coll17 = tuple16._1\n val l18 = tuple11._2\n val l19 = tuple10._2 - l18\n val l20 = tuple9._2\n val i21 = coll5(placeholder[Int](10))\n val i22 = HEIGHT - i21 + placeholder[Int](11)\n val i23 = coll5(placeholder[Int](12))\n val i24 = i22 / i23\n val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n val i26 = coll5(placeholder[Int](15))\n val l27 = i26.toLong\n val l28 = l6 / l27\n val l29 = tuple12._2 - tuple13._2\n val l30 = tuple16._2\n val l31 = tuple15._2 - l30\n sigmaProp(\n (\n (\n (\n (\n (coll2(placeholder[Int](16)) == tuple4) && (\n (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n )\n ) && (box1.propositionBytes == SELF.propositionBytes)\n ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n ) && (coll2.size == placeholder[Int](17))\n ) && if (l19 > placeholder[Long](18)) {(\n val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n val box33 = OUTPUTS(placeholder[Int](20))\n (\n (\n (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n l19 == !l29\n )\n ) && (l32 == !l31)\n ) && (\n (\n (\n ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n (coll17, l32) == box33.tokens(placeholder[Int](25))\n )\n ) && box33.R6[SigmaProp].isDefined\n ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n )\n )} else {\n if (l19 < placeholder[Long](26)) {\n (\n (\n (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n )\n ) && (l29 == !l19)\n ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n } else {(\n val i32 = box1.R7[Int].get\n val i33 = i26 - i32\n val l34 = i33.toLong\n val l35 = placeholder[Long](32) - l30 - l18 * l34\n if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n (\n (\n ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n )\n ) && (l19 == placeholder[Long](37))\n ) && (l29 == placeholder[Long](38))\n } else { placeholder[Boolean](39) }\n )}\n }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "5f22cb20453e0856acb4b40e4ee2430e4b73a5abe4e72a0b2235a0adfb48a2be",
"index": 0,
"amount": 1,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
"index": 1,
"amount": 1033280187070,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
"index": 2,
"amount": 37990831782238,
"name": "Ergo_Spectrum Finance_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8c877434025cc85896ef2038d7ee40e0868bd3f2776c9f4a4e3d85bcaf512b10",
"index": 3,
"amount": 9223334046022994000,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b970177c79ee09a9d31602c3fa97afa04ed7e64a1e3e09e6d4469039abd8303d",
"index": 4,
"amount": 9218661538416408000,
"name": "",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1004a00be802a4cc8101a00b",
"sigmaType": "Coll[SInt]",
"renderedValue": "[720,180,1061650,720]"
},
"R5": {
"serializedValue": "0580e0bcefa757",
"sigmaType": "SLong",
"renderedValue": "1500000000000"
},
"R6": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R7": {
"serializedValue": "0472",
"sigmaType": "SInt",
"renderedValue": "57"
}
}
},
{
"boxId": "460da3c18ce28066dd716053eb598566c319a6d70d7df2d05f52e6d831ff0b2d",
"value": 13555790000,
"index": 1,
"spendingProof": "d61587bd5c8d91b120e08a439b444d73c704aeaf87aac7abf34545fcf8d233a7aff1d15386824dae3fa42eae66fb717d4e76fe465c9bc06f",
"outputBlockId": "30ed5c404746e9281471373223774f4d85bac0bce5dcd893f280ab5f6e3ae64b",
"outputTransactionId": "70231adc76c700f002fb1110ecad656eb6ba25adf7f83261055e9de8bb7d4121",
"outputIndex": 1,
"outputGlobalIndex": 33105437,
"outputCreatedAt": 1102690,
"outputSettledAt": 1102692,
"ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b0b2ce,8ea1ce,...)))}",
"address": "9hodDWDNFhzmpY6qQm8spYNpbbus2jYoGEe6yFvM5uC8CfZfnMi",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "310d7a4408d9524af3ce10e3beed244cb17e4e6760c509fbff8fc19fce129e9d",
"value": 522000,
"index": 2,
"spendingProof": null,
"outputBlockId": "97a302be4963d6749937abf0e7e5db266aaf6b40eefc32c547a2bbe9826a8369",
"outputTransactionId": "53eaa989e09334f5931a1d7e7dca38eaff66b24601d06f1f9247ccc4f5c7b10b",
"outputIndex": 4,
"outputGlobalIndex": 33081846,
"outputCreatedAt": 1101970,
"outputSettledAt": 1101972,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: CBigInt(0)\n8: 0\n9: 0\n10: 1\n11: 2\n12: 1\n13: 9223372036854775807\n14: 4\n15: 0\n16: 1\n17: 1\n18: 2\n19: 1\n20: 1\n21: 0\n22: 0\n23: true\n24: false\n25: 0\n26: 2\n27: 0\n28: 3\n29: 2\n30: 1\n31: 9223372036854775806\n32: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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],
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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}
],
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"name": "Spectrum YF staking bundle",
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}
],
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"sigmaType": "Coll[SByte]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"name": "Spectrum YF staking bundle",
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}
],
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"sigmaType": "Coll[SByte]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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{
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],
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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},
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"name": "Spectrum YF staking bundle",
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}
],
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"sigmaType": "Coll[SByte]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"assets": [
{
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"index": 0,
"amount": 79124800372,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b970177c79ee09a9d31602c3fa97afa04ed7e64a1e3e09e6d4469039abd8303d",
"index": 1,
"amount": 9811475246128,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc8ff66cef3ff5e2092a6e70413f41e7cbfd9ae79472d2191a31fa10f1128bbf",
"index": 2,
"amount": 1,
"name": "Spectrum YF staking bundle",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1a537065637472756d205946207374616b696e672062756e646c65",
"sigmaType": "Coll[SByte]",
"renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
},
"R5": {
"serializedValue": "0ea80154686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203566323263623230343533653038353661636234623430653465653234333065346237336135616265346537326130623232333561306164666234386132626529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e",
"sigmaType": "Coll[SByte]",
"renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203566323263623230343533653038353661636234623430653465653234333065346237336135616265346537326130623232333561306164666234386132626529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
},
"R6": {
"serializedValue": "08cd0265044aea79803672f4ca71bee7a723f38b2474a7576c13bd1e6841aefd528e80",
"sigmaType": "SSigmaProp",
"renderedValue": "0265044aea79803672f4ca71bee7a723f38b2474a7576c13bd1e6841aefd528e80"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5f22cb20453e0856acb4b40e4ee2430e4b73a5abe4e72a0b2235a0adfb48a2be"
}
}
},
{
"boxId": "93d976902d2fa151b7d971db1e7cfef0f9f2550373cc24ad034828c28760b1a7",
"value": 522000,
"index": 11,
"spendingProof": null,
"outputBlockId": "97a302be4963d6749937abf0e7e5db266aaf6b40eefc32c547a2bbe9826a8369",
"outputTransactionId": "52fb05b7f733125ccb648f9ffe958e8f4db7bb6e7d4b60c2bea0b0d8c88be2a1",
"outputIndex": 3,
"outputGlobalIndex": 33081891,
"outputCreatedAt": 1101970,
"outputSettledAt": 1101972,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: CBigInt(0)\n8: 0\n9: 0\n10: 1\n11: 2\n12: 1\n13: 9223372036854775807\n14: 4\n15: 0\n16: 1\n17: 1\n18: 2\n19: 1\n20: 1\n21: 0\n22: 0\n23: true\n24: false\n25: 0\n26: 2\n27: 0\n28: 3\n29: 2\n30: 1\n31: 9223372036854775806\n32: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 71503027775,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 8866375444100,
"name": "",
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"type": "EIP-004"
},
{
"tokenId": "fc9a8d15e54efd343b4bb77e06f82bb1ae787e92c89239b543f6440285f8f0d2",
"index": 2,
"amount": 1,
"name": "Spectrum YF staking bundle",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203566323263623230343533653038353661636234623430653465653234333065346237336135616265346537326130623232333561306164666234386132626529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "03ab04ad037853962f387d848a1a95b6f902bf9d7576900fccd2a48b7c45108ab0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5f22cb20453e0856acb4b40e4ee2430e4b73a5abe4e72a0b2235a0adfb48a2be"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d4113539a0a2f99a5828acb910b1fc00700d97509a8fc8f17ecd53172cfcf3b2",
"transactionId": "94324dfb225b0fe906e31505d9617b1b9e319dec5c9e48f27ece6f8692e8a4f8",
"blockId": "30ed5c404746e9281471373223774f4d85bac0bce5dcd893f280ab5f6e3ae64b",
"value": 522000,
"index": 0,
"globalIndex": 33105455,
"creationHeight": 1102690,
"settlementHeight": 1102692,
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"ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b0b2ce,8ea1ce,...)))}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: CBigInt(0)\n8: 0\n9: 0\n10: 1\n11: 2\n12: 1\n13: 9223372036854775807\n14: 4\n15: 0\n16: 1\n17: 1\n18: 2\n19: 1\n20: 1\n21: 0\n22: 0\n23: true\n24: false\n25: 0\n26: 2\n27: 0\n28: 3\n29: 2\n30: 1\n31: 9223372036854775806\n32: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"sigmaType": "Coll[SByte]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"assets": [
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}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
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"R5": {
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"R6": {
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"sigmaType": "SSigmaProp",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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{
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}
],
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"sigmaType": "Coll[SByte]",
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"R5": {
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"R6": {
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"sigmaType": "SSigmaProp",
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"spentTransactionId": "0aaf547856ff9b644bd867f40d126cbeb724c2b023ee1ba883e79dcf0879565f",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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}
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},
{
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"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)}",
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}
],
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}