Transaction
ID: dd3dd11b35...3577
Inputs (16)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (17)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
300,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
50
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
75,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
250,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
25,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
500
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
20
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
110,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,662
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5,164
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Transaction Details
Confirmations: 519,629
Total coins transferred: 0.031 ERG
Fees: 0.015 ERG
Fees per byte: 0.000004347 ERG
Raw Transaction Data
{
"id": "dd3dd11b35e11711599a1503709906c8ac066bf652be80e5b9c8f94e16f33577",
"blockId": "db334970c394a235a6d1b417c923b9a718c9e4549e061762df2c1936e436d7ff",
"inclusionHeight": 1247460,
"timestamp": 1713658586659,
"index": 1,
"globalIndex": 7056069,
"numConfirmations": 519629,
"inputs": [
{
"boxId": "b6a95c1b3a53c8f087aae6ca6cb63a0d05fb4c975e75a6ebe7251d788aa360ac",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7d1feea869a085ceb4581ffeb28e7b31817d125b3d0f0b5f2ecec19acd495fc6",
"outputTransactionId": "9223a8ad8e778a13a104f524c0c22326dbcd6797a6250ce859eba2f0fb2c1e7a",
"outputIndex": 0,
"outputGlobalIndex": 38447013,
"outputCreatedAt": 1228313,
"outputSettledAt": 1228315,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(116,22,119,-2,31,-98,-8,121,-28,-106,-60,-40,60,94,113,80,51,40,78,7,-12,86,15,19,-128,-65,-48,-114,-47,9,-53,-91)\n3: 0\n4: Coll(-94,123,55,-119,105,28,120,-37,33,-45,72,-92,113,46,-23,-56,1,-115,10,11,-78,-10,96,17,2,19,-65,70,98,126,-46,-24)\n5: 0\n6: 360\n7: 360\n8: 1000\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 300000000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 20160\n37: 2\n38: 1\n39: 0\n40: 0\n41: 20160\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 600000000\n48: 1000\n49: 500\n50: 1\n51: 0\n52: 1\n53: 1\n54: false\n55: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple26._2\n val coll31 = tuple26._1\n val l32 = tuple24._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l32\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l30\n ((((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && ((((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](36)))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](37)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](38)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == tuple17)) && (coll13 == coll18)) && (l14 == l21)) && (l16 == placeholder[Long](39))) && (l15 == placeholder[Long](40))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](41))) && (tuple12 == (placeholder[Long](42), placeholder[Long](43)))) && (l14 == placeholder[Long](44))) && (l16 == placeholder[Long](45))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](46))\n if ((l21 > placeholder[Long](47)) && (l27 * placeholder[Long](48) / l21 > placeholder[Long](49))) {(\n val box36 = OUTPUTS(placeholder[Int](50))\n val tuple37 = box36.tokens(placeholder[Int](51))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](52)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l30 == l32 - placeholder[Long](53)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](54) && (HEIGHT > placeholder[Int](55)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f",
"index": 0,
"amount": 8999999099999999,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59e0fb7300",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[950000,0]"
},
"R6": {
"serializedValue": "0e37100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302",
"sigmaType": "Coll[SByte]",
"renderedValue": "100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302"
},
"R8": {
"serializedValue": "05c6e3e9d98b01",
"sigmaType": "SLong",
"renderedValue": "18750453987"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05eea19801",
"sigmaType": "SLong",
"renderedValue": "1247351"
}
}
},
{
"boxId": "ff260b5600caa92f88dff02f717d6a79eeb45298625d2017a8c83f78945b9ebe",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9c449ed638f95cc642bf2966e3004cf20da5224636fe504a09b5c6e4fc6ca2e7",
"outputTransactionId": "c4f1c25c0a012e4d267394ae564128b70448cdff17f98abd5b831dfdbd8f77a1",
"outputIndex": 1,
"outputGlobalIndex": 39111121,
"outputCreatedAt": 1240764,
"outputSettledAt": 1240768,
"ergoTree": "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",
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"type": "EIP-004"
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"renderedValue": "100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302"
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"sigmaType": "SGroupElement",
"renderedValue": "02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd"
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"R8": {
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"sigmaType": "SLong",
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02d0a595b057876d6e981e47b20f22f6d515e1f59ba877e15dbf44c46a932488bd"
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"R9": {
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"sigmaType": "SInt",
"renderedValue": "1"
},
"R4": {
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"sigmaType": "SLong",
"renderedValue": "950000"
}
}
},
{
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"index": 3,
"spendingProof": null,
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"outputTransactionId": "55cbffe11305c6045dc7405f337aac294e722f763452ce5320435923ce18a73c",
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"outputGlobalIndex": 38766177,
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
"tokenId": "741677fe1f9ef879e496c4d83c5e715033284e07f4560f1380bfd08ed109cba5",
"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
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},
"R6": {
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},
"R8": {
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},
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"sigmaType": "SLong",
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}
}
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{
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"index": 4,
"spendingProof": null,
"outputBlockId": "a8d6f45ed3f4b763b21c6ad22bd9609aa4fcb9e2705be8ec82c04af2e7aa31d9",
"outputTransactionId": "e7cfc1e90de30edd86b2108d95e407e5a5126418f31cb7471b72381bc3e82ca9",
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"ergoTree": "101204000e20c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f04000100042804000400048084af5f010004000400010104000400048084af5f040204000402d803d601db6501fed60291b172017300d6037301957202d801d604b27201730200ea02ea02ea02ea02cde4c6a70607d195ed7202e6c6720404058f7ea305e4c6720404057303d1917ea3059ae4c6a708057e730405d195ed720291b1db630872047305d801d605b2db63087204730600ed938c7205017203918c7205027e7307057308d1afa5d9010563d801d607db630872059591b172077309af7207d901084d0e948c7208018cb2db6308a7730a0001730bd801d604b2db6308b2a4730c00730d00d1eded938c7204017203918c7204027e730e05aeb4a5730fb1a5d9010563eded93c27205e4c6a7070e93b2db63087205731000b2db6308a773110093e4c67205040ec5a7",
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
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"outputGlobalIndex": 38638698,
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
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"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"renderedValue": "100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302"
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"sigmaType": "SGroupElement",
"renderedValue": "03f85e1fbe60e1741aa96eee9430ac2ae9784426e6a75316a9d3a090eeeb16e81b"
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"R8": {
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"sigmaType": "SLong",
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"R9": {
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"renderedValue": "1"
},
"R4": {
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"sigmaType": "SLong",
"renderedValue": "950000"
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}
},
{
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"index": 6,
"spendingProof": null,
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"outputIndex": 1,
"outputGlobalIndex": 38473469,
"outputCreatedAt": 1229022,
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
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{
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],
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"R9": {
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},
"R4": {
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"sigmaType": "SLong",
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}
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{
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"index": 7,
"spendingProof": null,
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"outputTransactionId": "1fbcf4b349bbeddf756fe8f69327a1f2d1840a5865b7da02cc464a655e24456d",
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
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"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
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{
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],
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{
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
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{
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"sigmaType": "SGroupElement",
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"sigmaType": "SLong",
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"sigmaType": "SLong",
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}
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{
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"index": 13,
"spendingProof": null,
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"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
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"index": 0,
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"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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},
"R4": {
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"sigmaType": "SLong",
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{
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"index": 14,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-59,113,-120,72,72,-5,-51,67,-39,-19,-100,-128,60,-12,33,-59,63,117,-25,26,14,-113,103,65,87,47,-64,-51,-83,-54,101,47)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
"tokenId": "741677fe1f9ef879e496c4d83c5e715033284e07f4560f1380bfd08ed109cba5",
"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 5164000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e37100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302",
"sigmaType": "Coll[SByte]",
"renderedValue": "100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302"
},
"R6": {
"serializedValue": "0703bcc81713a78bbeb72a327fc071a7372a6f38c52565e7b87f498d08031093627e",
"sigmaType": "SGroupElement",
"renderedValue": "03bcc81713a78bbeb72a327fc071a7372a6f38c52565e7b87f498d08031093627e"
},
"R8": {
"serializedValue": "05a2fd9501",
"sigmaType": "SLong",
"renderedValue": "1228625"
},
"R7": {
"serializedValue": "0e240008cd03bcc81713a78bbeb72a327fc071a7372a6f38c52565e7b87f498d08031093627e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03bcc81713a78bbeb72a327fc071a7372a6f38c52565e7b87f498d08031093627e"
},
"R9": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R4": {
"serializedValue": "05e0fb73",
"sigmaType": "SLong",
"renderedValue": "950000"
}
}
},
{
"boxId": "4e08b8b0109040679618989c0223256ee885691c89f4a56ec9697e65463a1573",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "574d1f981558bbede2f9692f8aad494103ffbc402df9a68adf3518a86be58fc4",
"outputTransactionId": "2fb09cde35bfe982b5f1ac2e38b0eed91a913ae41d264487ca2de32f3d909a10",
"outputIndex": 1,
"outputGlobalIndex": 38456272,
"outputCreatedAt": 1228598,
"outputSettledAt": 1228601,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-59,113,-120,72,72,-5,-51,67,-39,-19,-100,-128,60,-12,33,-59,63,117,-25,26,14,-113,103,65,87,47,-64,-51,-83,-54,101,47)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihbxSos7u9j6iU3cK6pLarsyyP6fJLJhfy2Ctq9t5Ur1p2Js38YPJFNp1vJVXHem9y5k6w75FSkoWXsxEd75BKhiZ2NSmg33YKianRoADw1QNiAn69KGL15cj6BAjriBpjXo5pzmRvyrLrmXhGF15yyL4nLijiNj2bH2NtRLercwyPshJGmaEkQYjCoeiUWSEoPxdujEcwd2X7i1kUiYm5uweYe1sRGEe1kBM9CBamegtiwQrbnXDRrD7s5eq6Rb4Y3Ee4yzhkMi58uWiRZebMFbVk7P9XyTewahoC3nvpFYMgHSAruWhK7VKbhMQDVxEREMAnfUnpukpj7UrpNwPP8xMX3jDFeX31MRS2YDuKfEu3gzEpYnLn1RKU4GQ2b87E45oB27Me9gspwDZisVLwrZ9oYtSFk1cXhDLcxw5czMnMbzggSDL8u4anYkpgVp5L5BsZrBf2YJnqv",
"assets": [
{
"tokenId": "741677fe1f9ef879e496c4d83c5e715033284e07f4560f1380bfd08ed109cba5",
"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 100000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e37100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302",
"sigmaType": "Coll[SByte]",
"renderedValue": "100308cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef3001010400ea02ea027300d17301d191a37302"
},
"R6": {
"serializedValue": "0702d54811cfc9a3e85dbc14ea1e6113109bc21495c95deeab909946b0a3fa2076db",
"sigmaType": "SGroupElement",
"renderedValue": "02d54811cfc9a3e85dbc14ea1e6113109bc21495c95deeab909946b0a3fa2076db"
},
"R8": {
"serializedValue": "05f6fc9501",
"sigmaType": "SLong",
"renderedValue": "1228603"
},
"R7": {
"serializedValue": "0e240008cd02d54811cfc9a3e85dbc14ea1e6113109bc21495c95deeab909946b0a3fa2076db",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02d54811cfc9a3e85dbc14ea1e6113109bc21495c95deeab909946b0a3fa2076db"
},
"R9": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R4": {
"serializedValue": "05e0fb73",
"sigmaType": "SLong",
"renderedValue": "950000"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "612636d51351b29eb811a1bc65b04f5eada6374ab96e70762aa4b56045830d63",
"transactionId": "dd3dd11b35e11711599a1503709906c8ac066bf652be80e5b9c8f94e16f33577",
"blockId": "db334970c394a235a6d1b417c923b9a718c9e4549e061762df2c1936e436d7ff",
"value": 1000000,
"index": 0,
"globalIndex": 39405369,
"creationHeight": 1247458,
"settlementHeight": 1247460,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(116,22,119,-2,31,-98,-8,121,-28,-106,-60,-40,60,94,113,80,51,40,78,7,-12,86,15,19,-128,-65,-48,-114,-47,9,-53,-91)\n3: 0\n4: Coll(-94,123,55,-119,105,28,120,-37,33,-45,72,-92,113,46,-23,-56,1,-115,10,11,-78,-10,96,17,2,19,-65,70,98,126,-46,-24)\n5: 0\n6: 360\n7: 360\n8: 1000\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 300000000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 20160\n37: 2\n38: 1\n39: 0\n40: 0\n41: 20160\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 600000000\n48: 1000\n49: 500\n50: 1\n51: 0\n52: 1\n53: 1\n54: false\n55: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple26._2\n val coll31 = tuple26._1\n val l32 = tuple24._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l32\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l30\n ((((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && ((((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](36)))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](37)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](38)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == tuple17)) && (coll13 == coll18)) && (l14 == l21)) && (l16 == placeholder[Long](39))) && (l15 == placeholder[Long](40))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](41))) && (tuple12 == (placeholder[Long](42), placeholder[Long](43)))) && (l14 == placeholder[Long](44))) && (l16 == placeholder[Long](45))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](46))\n if ((l21 > placeholder[Long](47)) && (l27 * placeholder[Long](48) / l21 > placeholder[Long](49))) {(\n val box36 = OUTPUTS(placeholder[Int](50))\n val tuple37 = box36.tokens(placeholder[Int](51))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](52)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l30 == l32 - 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