Transaction
ID: 7e53036cdb...c8ce
Inputs (52)
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0.001 ERG
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Outputs (54)
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Transaction Details
Confirmations: 850,019
Total coins transferred: 0.137 ERG
Fees: 0.006 ERG
Fees per byte: 0.000000196 ERG
Raw Transaction Data
{
"id": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"inclusionHeight": 917990,
"timestamp": 1673687392609,
"index": 9,
"globalIndex": 4613440,
"numConfirmations": 850019,
"inputs": [
{
"boxId": "8d6c07a4455531e9b272e9627de0f82abde912ed218ee07eb78f1678d77ffa5d",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"outputTransactionId": "8d7b5e30e8488c82be02bd50d0c0c469267a7f697e87c5f0359d3b7618bfa34d",
"outputIndex": 0,
"outputGlobalIndex": 25601772,
"outputCreatedAt": 917987,
"outputSettledAt": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\n4: 0\n5: 0\n6: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4",
"index": 0,
"amount": 1,
"name": "NETA Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 13871193606,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104e8a38aaeb2d36190028608e0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[214737944135924,136,515,34718310000]"
}
}
},
{
"boxId": "00615c497bc8cc56b62942fa9435a603504d8166b1d8b73fa2a7bef28c1ea449",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "438e70e0b11a15a373c76f6efbd8bdc1d35625b7026f458d97a59311467083a0",
"outputTransactionId": "e3ffe17cdb5f07e143249668bbe593fc7c7dfaabf5fa22b2ab0c9180d7025d5d",
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 10968564956,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662601519084]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1d61a1d61565ea3c680fbbcd3d6d6ffb575c0a5b0fb3d4b2e11b104c2cf50b7b"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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{
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662603797257]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e6a1141b7f6bf613d5c3d354ded5ae22e038bde01a779d1739cd8842f4f93c21"
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{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SByte]",
"renderedValue": "a709e170884eb531c2071906cc1974c539088293285ed8cfc963c50426fa3a10"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4100398070,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662610039400]"
},
"R5": {
"serializedValue": "0e208412ad2c92c8c7ae8d03f843cdf1ab0aa16598ada269f27808d29e1fb016c2a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8412ad2c92c8c7ae8d03f843cdf1ab0aa16598ada269f27808d29e1fb016c2a8"
}
}
},
{
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"index": 5,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
},
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662619362096]"
},
"R5": {
"serializedValue": "0e20238dcc3c58f7aaa053b8e2c36434fa2c683c15e42454203acf91971e74a4a3fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "238dcc3c58f7aaa053b8e2c36434fa2c683c15e42454203acf91971e74a4a3fb"
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{
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"index": 6,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661817816725]"
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"R5": {
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"renderedValue": "b33bd9cca225c83e7f0f7d00d0ade242c7a5f822a0065193dea3532391db8441"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1026793167,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662174920041]"
},
"R5": {
"serializedValue": "0e2033814b61c4c212021754b8d2e3d22e1c1850bb3f4974ae405603dd08e98a5f2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "33814b61c4c212021754b8d2e3d22e1c1850bb3f4974ae405603dd08e98a5f2a"
}
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{
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"index": 8,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"name": "NETA Stake Token",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1662167354215]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668319297565]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "52ae0271febed05f2f0a6b97a2932c2bd0883f001cc9cf81f13f793521ce7780"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4347510042,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668299781436]"
},
"R5": {
"serializedValue": "0e20bd654d8224f59b00809c46e3a796a1421542104705b31ad833e05175e76a8f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd654d8224f59b00809c46e3a796a1421542104705b31ad833e05175e76a8f07"
}
}
},
{
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"index": 11,
"spendingProof": null,
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"outputTransactionId": "e3ffe17cdb5f07e143249668bbe593fc7c7dfaabf5fa22b2ab0c9180d7025d5d",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
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{
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661816320689]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4edcc54dc1ede3893957b63233d4241ef97514ccef3e2ca1909bcb444ff93369"
}
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"spendingProof": null,
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"outputGlobalIndex": 25569252,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661815468038]"
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"R5": {
"serializedValue": "0e20c81106e48ba7cb59af78f5d16d7800f0e5f75659e366787a184700824e8a03a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "c81106e48ba7cb59af78f5d16d7800f0e5f75659e366787a184700824e8a03a7"
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2176239599,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661816944143]"
},
"R5": {
"serializedValue": "0e2002639fd283aa3b0ea2d9851ffbe1ddaeccd2b0e00216027a68e32f2009690942",
"sigmaType": "Coll[SByte]",
"renderedValue": "02639fd283aa3b0ea2d9851ffbe1ddaeccd2b0e00216027a68e32f2009690942"
}
}
},
{
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"index": 14,
"spendingProof": null,
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"outputTransactionId": "e3ffe17cdb5f07e143249668bbe593fc7c7dfaabf5fa22b2ab0c9180d7025d5d",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661816839588]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b8cdb88c3008a42ffafd2ad20564e2bb138474614199ac9ec9af79a48e95c234"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1666430314420]"
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"renderedValue": "192ad7eeaffb914c7634f55ac6288abf77d59f8ce29ba69a5a8cfd91a1130049"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 10152241656,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661816336725]"
},
"R5": {
"serializedValue": "0e2079535e9a2801d2acdde6ffd7bb8abf2e853548c968272b0fbcb0741af6e0a4db",
"sigmaType": "Coll[SByte]",
"renderedValue": "79535e9a2801d2acdde6ffd7bb8abf2e853548c968272b0fbcb0741af6e0a4db"
}
}
},
{
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"index": 17,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
},
{
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"name": "NETA",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1666070358364]"
},
"R5": {
"serializedValue": "0e2019cbbc5851e283f11ee4d1583d07a26e9c5c2fa60cff52f999bb158f0e25d000",
"sigmaType": "Coll[SByte]",
"renderedValue": "19cbbc5851e283f11ee4d1583d07a26e9c5c2fa60cff52f999bb158f0e25d000"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"name": "NETA Stake Token",
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1666066101753]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e01e35c2b5fad58c9d7fb42fb8709abf9f3f1fdb5e71ceebb696c441c3790c4d"
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{
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 48681768490,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1666065633990]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "8e1aa63c57b0ee6db0b2c7c3dcda32d86ca2f3bcd7ec0c1e5898af88b6e92859"
}
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{
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"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"name": "NETA Stake Token",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1666063275924]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "62e5a9c79e634a755e82ffe69d053d2e79651f4283b79cf1d1965cc9a66862ce"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
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"renderedValue": "9cec595f45bf7b57a35fe33bf52c0e064839f8c894e2847bade51971b7ebc50f"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 7115168602,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668684262051]"
},
"R5": {
"serializedValue": "0e207ab58bddbf7dae27a2f6e9108ea5224267cd0b224b75d2cb3159c2bea3e512be",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ab58bddbf7dae27a2f6e9108ea5224267cd0b224b75d2cb3159c2bea3e512be"
}
}
},
{
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"index": 23,
"spendingProof": null,
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"outputTransactionId": "e7e8c60e99e59aa1a9946a544f7b188a1c913f9904543987203416da5ff8bec8",
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"outputGlobalIndex": 25569237,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "NETA",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668654612695]"
},
"R5": {
"serializedValue": "0e2043ca10247db393c89baa1f17cb27abb5861c61a083029f1b30d905942a913445",
"sigmaType": "Coll[SByte]",
"renderedValue": "43ca10247db393c89baa1f17cb27abb5861c61a083029f1b30d905942a913445"
}
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{
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"spendingProof": null,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"name": "NETA Stake Token",
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668652382022]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "03609947f917b58bb41affe1b9eb83cd9a58761043447bc171bc955757444c6a"
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{
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"spendingProof": null,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 11355876656,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1668632262299]"
},
"R5": {
"serializedValue": "0e2099c2bd06f76c4890a7da295d53a927d53c1789630c133e1b72f0afcf1567166d",
"sigmaType": "Coll[SByte]",
"renderedValue": "99c2bd06f76c4890a7da295d53a927d53c1789630c133e1b72f0afcf1567166d"
}
}
},
{
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"index": 26,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
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{
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1665500880658]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "8abddf1dcc68c85c6982aefaae1469f51d5f92c22e3e44761602ca571274fc4c"
}
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
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"R5": {
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"renderedValue": "5af7feb7da0f5cc58216473d780ff87a2d1f0a679db6fcd93ddb5820dd51c441"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1064131276,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1664817394915]"
},
"R5": {
"serializedValue": "0e20522c94935da58d77444efd19f608d8d216d57360cfe59643d4b9a56a4f96e756",
"sigmaType": "Coll[SByte]",
"renderedValue": "522c94935da58d77444efd19f608d8d216d57360cfe59643d4b9a56a4f96e756"
}
}
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
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{
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1664824243628]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "243576d45e24df3103d3b8d255090a5ca822e3b9ebd534cce37e59ce932f7e55"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1664825375483]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "cebd9afaf1de7adab8bcfd6f460f7c04d53853e7d7363a6a9325cf6cb16be7a7"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 534388938,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1664988132070]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "7fc16ecd103b4acd66576d6fdcd807c506a1231dd8108001a2048079e0498643"
}
}
},
{
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"spendingProof": null,
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"outputTransactionId": "e7e8c60e99e59aa1a9946a544f7b188a1c913f9904543987203416da5ff8bec8",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"name": "NETA Stake Token",
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661872351463]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "015e471a469869b9c055b3cf1a04aefbea827a4dc0d02a6575ea8be162d60259"
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
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"renderedValue": "ac649a368554ada7d90d02e766011cacafc2fc1cdab9e753e7a27822570036c1"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 57690149829,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661872866998]"
},
"R5": {
"serializedValue": "0e20bd0d7919e1999574584b659421446360d18a488f067d7d85c7c7c1b515bb8e7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd0d7919e1999574584b659421446360d18a488f067d7d85c7c7c1b515bb8e7b"
}
}
},
{
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"index": 35,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661872972535]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ff251b3b991350e55b1c43f5b026fe12891683d5ac265291037fd565800edff1"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661883803065]"
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"renderedValue": "a75181c554e2bfce78405fca27f8a1998be38899c3968e600cbae517f7b9bab8"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
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"name": "NETA Stake Token",
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"type": "EIP-004"
},
{
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"index": 1,
"amount": 3083948445,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661885350767]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d169f8fc0a9aa5b6e4c3f4985d4ee78395a3fa5a9471379218fd29bf14f6ec8e"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661885760277]"
},
"R5": {
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
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"renderedValue": "464ad851183223b0be7776e78497c639179dec98d7dfb094afe0de509b760576"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 421009989864,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661887785189]"
},
"R5": {
"serializedValue": "0e20889f8cef1d804573f8abc51789c56ce1c1a640bd3f10d8957d48f6497f15a61b",
"sigmaType": "Coll[SByte]",
"renderedValue": "889f8cef1d804573f8abc51789c56ce1c1a640bd3f10d8957d48f6497f15a61b"
}
}
},
{
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"index": 41,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
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{
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661888174900]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "08fa203690f1d9a4baca58946fad498f39bc151ca2f26ae19448e4568a762d8d"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661890264810]"
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"renderedValue": "d5873fee0d8919ec60fc2e5f925291351791d0d18b8521089faf43f4783cf2c9"
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"index": 0,
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"name": "NETA Stake Token",
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"type": "EIP-004"
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"index": 1,
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661891072584]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "c2be67c676ad0cf8a00b776f7f35df81e560f35b303c2b6f31ceaf306602efe1"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661891335690]"
},
"R5": {
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 647629187910,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661879074320]"
},
"R5": {
"serializedValue": "0e2096d76e6259d4fcbdda67ced0ce4b426f3dcec3d9f909ad995035601d2bc760db",
"sigmaType": "Coll[SByte]",
"renderedValue": "96d76e6259d4fcbdda67ced0ce4b426f3dcec3d9f909ad995035601d2bc760db"
}
}
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"name": "NETA Stake Token",
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"type": "EIP-004"
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1661812809498]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "59e5f0c98eb9b41183102b3c2d7f88b507f778b90a0ce9bbd82d51643502b4ee"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"sigmaType": "Coll[SLong]",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 8898817479,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110290029a89e0e7e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1663200657997]"
},
"R5": {
"serializedValue": "0e20669d14173288a18ceee7b4f7c4a69c90b2d240db287b7e002390275acae02301",
"sigmaType": "Coll[SByte]",
"renderedValue": "669d14173288a18ceee7b4f7c4a69c90b2d240db287b7e002390275acae02301"
}
}
},
{
"boxId": "54876edbd2c344372332d8c26cf30ffc19c7d0185239091237f481431a114d41",
"value": 1000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "438e70e0b11a15a373c76f6efbd8bdc1d35625b7026f458d97a59311467083a0",
"outputTransactionId": "e7e8c60e99e59aa1a9946a544f7b188a1c913f9904543987203416da5ff8bec8",
"outputIndex": 15,
"outputGlobalIndex": 25569210,
"outputCreatedAt": 917263,
"outputSettledAt": 917266,
"ergoTree": "101b0400040004020e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b04020e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4040204000400040204000400050204020402040604000100040004000400040401000402040201010100d809d601b2a4730000d6028cb2db6308720173010001d603e4c6a70411d604e4c6a7050ed605db6308a7d606b27205730200d6077e8c72060206d6089372027303d60993c5b2a4730400c5a7d1ecec959372027305d807d60ab2a5dc0c1aa402a7730600d60be4c6720a0411d60cdb6308720ad60db2720c730700d60eb27205730800d60fb2720c730900d610e4c6720104119683090193c1720ac1a793c2720ac2a793b2720b730a009ab27203730b00730c93b2720b730d00b27203730e0093e4c6720a050e7204938c720d018c720e01938c720d028c720e02938c720f018c720601937e8c720f02069a72079d9c7eb27210730f000672077eb272107310000673119596830301720872098fb2e4c6b2a57312000411731300b2e4c672010411731400d801d60ab2a57315009593c2720ac2a7d801d60bc6720a050e9683020195e6720b93e4720b72047316938cb2db6308b2a57317007318000172047319731a9683020172087209",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 2557131411,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102900292dffde9e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[136,1663202998217]"
},
"R5": {
"serializedValue": "0e2092886b99bfb197afbbd7fe8d8eb311e3a4faa994955176d29db99939964c7cfe",
"sigmaType": "Coll[SByte]",
"renderedValue": "92886b99bfb197afbbd7fe8d8eb311e3a4faa994955176d29db99939964c7cfe"
}
}
},
{
"boxId": "19f8bfee0e15d4414a161cb4ca82aa7ae1b0b8517edf9438e6a4a148eb5bcfca",
"value": 86000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "438e70e0b11a15a373c76f6efbd8bdc1d35625b7026f458d97a59311467083a0",
"outputTransactionId": "cd5982dc215b232061001c08118178110425b3ab66fb7940780af0db4fd69ef3",
"outputIndex": 51,
"outputGlobalIndex": 25569354,
"outputCreatedAt": 917263,
"outputSettledAt": 917266,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "44875e53157a6a1ab31d8ca2a91ac6675fcc58733e4954595ab753b709b4d4fd",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 0,
"globalIndex": 25601829,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\n4: 0\n5: 0\n6: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4",
"index": 0,
"amount": 1,
"name": "NETA Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 11077249042,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104e8a38aaeb2d3619002a207e0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[214737944135924,136,465,34718310000]"
}
},
"spentTransactionId": "d56058a6532d11de8d932bf39de91d57a68630207f5af1a09bf5d40cab9dad02",
"mainChain": true
},
{
"boxId": "02637f0e1ee31cee906b78a89bffc46cc3cfb1bf7001c03286ec277c2945e937",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 1,
"globalIndex": 25601830,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 10970338326,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202d8ffaeace360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662601519084]"
},
"R5": {
"serializedValue": "0e201d61a1d61565ea3c680fbbcd3d6d6ffb575c0a5b0fb3d4b2e11b104c2cf50b7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d61a1d61565ea3c680fbbcd3d6d6ffb575c0a5b0fb3d4b2e11b104c2cf50b7b"
}
},
"spentTransactionId": "b1888b48daa0c9f8cf3c1ff43c3f50f7bcccdb81bccefcdbbeaf85662cf48339",
"mainChain": true
},
{
"boxId": "9854ecb8f92fbde19670a3c09ff0f6f69e52a45b9f5a4009b83d65032a117ca1",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 2,
"globalIndex": 25601831,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 795823982,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202928cc5aee360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662603797257]"
},
"R5": {
"serializedValue": "0e20e6a1141b7f6bf613d5c3d354ded5ae22e038bde01a779d1739cd8842f4f93c21",
"sigmaType": "Coll[SByte]",
"renderedValue": "e6a1141b7f6bf613d5c3d354ded5ae22e038bde01a779d1739cd8842f4f93c21"
}
},
"spentTransactionId": "b1888b48daa0c9f8cf3c1ff43c3f50f7bcccdb81bccefcdbbeaf85662cf48339",
"mainChain": true
},
{
"boxId": "62cc4fb0cc4e83327e7c9734f6e1c667b005143a81371abd364c775be3d365cb",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 3,
"globalIndex": 25601832,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 8716355291,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202f2daf4b8f960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1665567463097]"
},
"R5": {
"serializedValue": "0e20a709e170884eb531c2071906cc1974c539088293285ed8cfc963c50426fa3a10",
"sigmaType": "Coll[SByte]",
"renderedValue": "a709e170884eb531c2071906cc1974c539088293285ed8cfc963c50426fa3a10"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
"boxId": "2fd8fa7c07c40aaa621b66faa6251c536575911dcc44ecbfce3257e714a0cf55",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 4,
"globalIndex": 25601833,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 4101061012,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202d089bfb4e360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662610039400]"
},
"R5": {
"serializedValue": "0e208412ad2c92c8c7ae8d03f843cdf1ab0aa16598ada269f27808d29e1fb016c2a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8412ad2c92c8c7ae8d03f843cdf1ab0aa16598ada269f27808d29e1fb016c2a8"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
"boxId": "1b3c438b6d4a3b49861aa057a17cd02ffbe97eb519a5004d10c8ec9cf9cd623e",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 5,
"globalIndex": 25601834,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 79704319520,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202e08cb1bde360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662619362096]"
},
"R5": {
"serializedValue": "0e20238dcc3c58f7aaa053b8e2c36434fa2c683c15e42454203acf91971e74a4a3fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "238dcc3c58f7aaa053b8e2c36434fa2c683c15e42454203acf91971e74a4a3fb"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 6,
"globalIndex": 25601835,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 11234247530,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202aa9afcc0dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661817816725]"
},
"R5": {
"serializedValue": "0e20b33bd9cca225c83e7f0f7d00d0ade242c7a5f822a0065193dea3532391db8441",
"sigmaType": "Coll[SByte]",
"renderedValue": "b33bd9cca225c83e7f0f7d00d0ade242c7a5f822a0065193dea3532391db8441"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 7,
"globalIndex": 25601836,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 1026959176,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202d2f5c395e060",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662174920041]"
},
"R5": {
"serializedValue": "0e2033814b61c4c212021754b8d2e3d22e1c1850bb3f4974ae405603dd08e98a5f2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "33814b61c4c212021754b8d2e3d22e1c1850bb3f4974ae405603dd08e98a5f2a"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 8,
"globalIndex": 25601837,
"creationHeight": 917987,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 17614576189,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ceada88ee060",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662167354215]"
},
"R5": {
"serializedValue": "0e207362d3263889dbcded808a6db6d38bec833fbf34d7c4a898d68f5f2f18ca8cac",
"sigmaType": "Coll[SByte]",
"renderedValue": "7362d3263889dbcded808a6db6d38bec833fbf34d7c4a898d68f5f2f18ca8cac"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 9,
"globalIndex": 25601838,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 6061635152,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ba80a2f98d61",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668319297565]"
},
"R5": {
"serializedValue": "0e2052ae0271febed05f2f0a6b97a2932c2bd0883f001cc9cf81f13f793521ce7780",
"sigmaType": "Coll[SByte]",
"renderedValue": "52ae0271febed05f2f0a6b97a2932c2bd0883f001cc9cf81f13f793521ce7780"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 10,
"globalIndex": 25601839,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 4348212936,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202f8d4d3e68d61",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668299781436]"
},
"R5": {
"serializedValue": "0e20bd654d8224f59b00809c46e3a796a1421542104705b31ad833e05175e76a8f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd654d8224f59b00809c46e3a796a1421542104705b31ad833e05175e76a8f07"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 11,
"globalIndex": 25601840,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 57208813630,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202e2cac5bfdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661816320689]"
},
"R5": {
"serializedValue": "0e204edcc54dc1ede3893957b63233d4241ef97514ccef3e2ca1909bcb444ff93369",
"sigmaType": "Coll[SByte]",
"renderedValue": "4edcc54dc1ede3893957b63233d4241ef97514ccef3e2ca1909bcb444ff93369"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 12,
"globalIndex": 25601841,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 152070662841,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292028cc0ddbedd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661815468038]"
},
"R5": {
"serializedValue": "0e20c81106e48ba7cb59af78f5d16d7800f0e5f75659e366787a184700824e8a03a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "c81106e48ba7cb59af78f5d16d7800f0e5f75659e366787a184700824e8a03a7"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 13,
"globalIndex": 25601842,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "101b0400040004020e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b04020e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4040204000400040204000400050204020402040604000100040004000400040401000402040201010100d809d601b2a4730000d6028cb2db6308720173010001d603e4c6a70411d604e4c6a7050ed605db6308a7d606b27205730200d6077e8c72060206d6089372027303d60993c5b2a4730400c5a7d1ecec959372027305d807d60ab2a5dc0c1aa402a7730600d60be4c6720a0411d60cdb6308720ad60db2720c730700d60eb27205730800d60fb2720c730900d610e4c6720104119683090193c1720ac1a793c2720ac2a793b2720b730a009ab27203730b00730c93b2720b730d00b27203730e0093e4c6720a050e7204938c720d018c720e01938c720d028c720e02938c720f018c720601937e8c720f02069a72079d9c7eb27210730f000672077eb272107310000673119596830301720872098fb2e4c6b2a57312000411731300b2e4c672010411731400d801d60ab2a57315009593c2720ac2a7d801d60bc6720a050e9683020195e6720b93e4720b72047316938cb2db6308b2a57317007318000172047319731a9683020172087209",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292029ed891c0dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661816944143]"
},
"R5": {
"serializedValue": "0e2002639fd283aa3b0ea2d9851ffbe1ddaeccd2b0e00216027a68e32f2009690942",
"sigmaType": "Coll[SByte]",
"renderedValue": "02639fd283aa3b0ea2d9851ffbe1ddaeccd2b0e00216027a68e32f2009690942"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2709177455,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202c8f684c0dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661816839588]"
},
"R5": {
"serializedValue": "0e20b8cdb88c3008a42ffafd2ad20564e2bb138474614199ac9ec9af79a48e95c234",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8cdb88c3008a42ffafd2ad20564e2bb138474614199ac9ec9af79a48e95c234"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 15,
"globalIndex": 25601844,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2028241020,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202e89ee5efff60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1666430314420]"
},
"R5": {
"serializedValue": "0e20192ad7eeaffb914c7634f55ac6288abf77d59f8ce29ba69a5a8cfd91a1130049",
"sigmaType": "Coll[SByte]",
"renderedValue": "192ad7eeaffb914c7634f55ac6288abf77d59f8ce29ba69a5a8cfd91a1130049"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 16,
"globalIndex": 25601845,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 10153883045,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202aac5c7bfdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661816336725]"
},
"R5": {
"serializedValue": "0e2079535e9a2801d2acdde6ffd7bb8abf2e853548c968272b0fbcb0741af6e0a4db",
"sigmaType": "Coll[SByte]",
"renderedValue": "79535e9a2801d2acdde6ffd7bb8abf2e853548c968272b0fbcb0741af6e0a4db"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"globalIndex": 25601846,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4465351274,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202b8a5c198fd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1666070358364]"
},
"R5": {
"serializedValue": "0e2019cbbc5851e283f11ee4d1583d07a26e9c5c2fa60cff52f999bb158f0e25d000",
"sigmaType": "Coll[SByte]",
"renderedValue": "19cbbc5851e283f11ee4d1583d07a26e9c5c2fa60cff52f999bb158f0e25d000"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 18,
"globalIndex": 25601847,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 18677847660,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202f2d7b994fd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1666066101753]"
},
"R5": {
"serializedValue": "0e20e01e35c2b5fad58c9d7fb42fb8709abf9f3f1fdb5e71ceebb696c441c3790c4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "e01e35c2b5fad58c9d7fb42fb8709abf9f3f1fdb5e71ceebb696c441c3790c4d"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"index": 19,
"globalIndex": 25601848,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 48689639240,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292028ccb8094fd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1666065633990]"
},
"R5": {
"serializedValue": "0e208e1aa63c57b0ee6db0b2c7c3dcda32d86ca2f3bcd7ec0c1e5898af88b6e92859",
"sigmaType": "Coll[SByte]",
"renderedValue": "8e1aa63c57b0ee6db0b2c7c3dcda32d86ca2f3bcd7ec0c1e5898af88b6e92859"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 121076237446,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202a8dee091fd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1666063275924]"
},
"R5": {
"serializedValue": "0e2062e5a9c79e634a755e82ffe69d053d2e79651f4283b79cf1d1965cc9a66862ce",
"sigmaType": "Coll[SByte]",
"renderedValue": "62e5a9c79e634a755e82ffe69d053d2e79651f4283b79cf1d1965cc9a66862ce"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 21,
"globalIndex": 25601850,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 50831075230,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202b6d5e1ebdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661862688091]"
},
"R5": {
"serializedValue": "0e209cec595f45bf7b57a35fe33bf52c0e064839f8c894e2847bade51971b7ebc50f",
"sigmaType": "Coll[SByte]",
"renderedValue": "9cec595f45bf7b57a35fe33bf52c0e064839f8c894e2847bade51971b7ebc50f"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 22,
"globalIndex": 25601851,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 7116318965,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202c6aaa9d59061",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668684262051]"
},
"R5": {
"serializedValue": "0e207ab58bddbf7dae27a2f6e9108ea5224267cd0b224b75d2cb3159c2bea3e512be",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ab58bddbf7dae27a2f6e9108ea5224267cd0b224b75d2cb3159c2bea3e512be"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 81775531237,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ae8386b99061",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668654612695]"
},
"R5": {
"serializedValue": "0e2043ca10247db393c89baa1f17cb27abb5861c61a083029f1b30d905942a913445",
"sigmaType": "Coll[SByte]",
"renderedValue": "43ca10247db393c89baa1f17cb27abb5861c61a083029f1b30d905942a913445"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 1000000,
"index": 24,
"globalIndex": 25601853,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 3111617192,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292028cddf5b69061",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668652382022]"
},
"R5": {
"serializedValue": "0e2003609947f917b58bb41affe1b9eb83cd9a58761043447bc171bc955757444c6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "03609947f917b58bb41affe1b9eb83cd9a58761043447bc171bc955757444c6a"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 25,
"globalIndex": 25601854,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 11357712646,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202b6dadda39061",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1668632262299]"
},
"R5": {
"serializedValue": "0e2099c2bd06f76c4890a7da295d53a927d53c1789630c133e1b72f0afcf1567166d",
"sigmaType": "Coll[SByte]",
"renderedValue": "99c2bd06f76c4890a7da295d53a927d53c1789630c133e1b72f0afcf1567166d"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 26,
"globalIndex": 25601855,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 5907281343833,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202a4fcb4f9f860",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1665500880658]"
},
"R5": {
"serializedValue": "0e208abddf1dcc68c85c6982aefaae1469f51d5f92c22e3e44761602ca571274fc4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "8abddf1dcc68c85c6982aefaae1469f51d5f92c22e3e44761602ca571274fc4c"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"index": 27,
"globalIndex": 25601856,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "101b0400040004020e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b04020e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4040204000400040204000400050204020402040604000100040004000400040401000402040201010100d809d601b2a4730000d6028cb2db6308720173010001d603e4c6a70411d604e4c6a7050ed605db6308a7d606b27205730200d6077e8c72060206d6089372027303d60993c5b2a4730400c5a7d1ecec959372027305d807d60ab2a5dc0c1aa402a7730600d60be4c6720a0411d60cdb6308720ad60db2720c730700d60eb27205730800d60fb2720c730900d610e4c6720104119683090193c1720ac1a793c2720ac2a793b2720b730a009ab27203730b00730c93b2720b730d00b27203730e0093e4c6720a050e7204938c720d018c720e01938c720d028c720e02938c720f018c720601937e8c720f02069a72079d9c7eb27210730f000672077eb272107310000673119596830301720872098fb2e4c6b2a57312000411731300b2e4c672010411731400d801d60ab2a57315009593c2720ac2a7d801d60bc6720a050e9683020195e6720b93e4720b72047316938cb2db6308b2a57317007318000172047319731a9683020172087209",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 10217171741,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292029ebbcebce260",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1662484336335]"
},
"R5": {
"serializedValue": "0e205af7feb7da0f5cc58216473d780ff87a2d1f0a679db6fcd93ddb5820dd51c441",
"sigmaType": "Coll[SByte]",
"renderedValue": "5af7feb7da0f5cc58216473d780ff87a2d1f0a679db6fcd93ddb5820dd51c441"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 28,
"globalIndex": 25601857,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202c6d3cbedf360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1664817394915]"
},
"R5": {
"serializedValue": "0e20522c94935da58d77444efd19f608d8d216d57360cfe59643d4b9a56a4f96e756",
"sigmaType": "Coll[SByte]",
"renderedValue": "522c94935da58d77444efd19f608d8d216d57360cfe59643d4b9a56a4f96e756"
}
},
"spentTransactionId": "16123d05b9110371d2cafc8bdde97b417ea3354731df03b2715daad5aa003150",
"mainChain": true
},
{
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"value": 1000000,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4072366644,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202d8d68ff4f360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1664824243628]"
},
"R5": {
"serializedValue": "0e20243576d45e24df3103d3b8d255090a5ca822e3b9ebd534cce37e59ce932f7e55",
"sigmaType": "Coll[SByte]",
"renderedValue": "243576d45e24df3103d3b8d255090a5ca822e3b9ebd534cce37e59ce932f7e55"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"index": 30,
"globalIndex": 25601859,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 5245567692998,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202f6eb99f5f360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1664825375483]"
},
"R5": {
"serializedValue": "0e20cebd9afaf1de7adab8bcfd6f460f7c04d53853e7d7363a6a9325cf6cb16be7a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "cebd9afaf1de7adab8bcfd6f460f7c04d53853e7d7363a6a9325cf6cb16be7a7"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"index": 31,
"globalIndex": 25601860,
"creationHeight": 917987,
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"ergoTree": "101b0400040004020e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b04020e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4040204000400040204000400050204020402040604000100040004000400040401000402040201010100d809d601b2a4730000d6028cb2db6308720173010001d603e4c6a70411d604e4c6a7050ed605db6308a7d606b27205730200d6077e8c72060206d6089372027303d60993c5b2a4730400c5a7d1ecec959372027305d807d60ab2a5dc0c1aa402a7730600d60be4c6720a0411d60cdb6308720ad60db2720c730700d60eb27205730800d60fb2720c730900d610e4c6720104119683090193c1720ac1a793c2720ac2a793b2720b730a009ab27203730b00730c93b2720b730d00b27203730e0093e4c6720a050e7204938c720d018c720e01938c720d028c720e02938c720f018c720601937e8c720f02069a72079d9c7eb27210730f000672077eb272107310000673119596830301720872098fb2e4c6b2a57312000411731300b2e4c672010411731400d801d60ab2a57315009593c2720ac2a7d801d60bc6720a050e9683020195e6720b93e4720b72047316938cb2db6308b2a57317007318000172047319731a9683020172087209",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202cccbb590f560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1664988132070]"
},
"R5": {
"serializedValue": "0e207fc16ecd103b4acd66576d6fdcd807c506a1231dd8108001a2048079e0498643",
"sigmaType": "Coll[SByte]",
"renderedValue": "7fc16ecd103b4acd66576d6fdcd807c506a1231dd8108001a2048079e0498643"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 3547114120,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202cea3fdf4dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661872351463]"
},
"R5": {
"serializedValue": "0e20015e471a469869b9c055b3cf1a04aefbea827a4dc0d02a6575ea8be162d60259",
"sigmaType": "Coll[SByte]",
"renderedValue": "015e471a469869b9c055b3cf1a04aefbea827a4dc0d02a6575ea8be162d60259"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 33,
"globalIndex": 25601862,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 10281490328,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202c295b5f5dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661872809313]"
},
"R5": {
"serializedValue": "0e20ac649a368554ada7d90d02e766011cacafc2fc1cdab9e753e7a27822570036c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac649a368554ada7d90d02e766011cacafc2fc1cdab9e753e7a27822570036c1"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 34,
"globalIndex": 25601863,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "101b0400040004020e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b04020e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4040204000400040204000400050204020402040604000100040004000400040401000402040201010100d809d601b2a4730000d6028cb2db6308720173010001d603e4c6a70411d604e4c6a7050ed605db6308a7d606b27205730200d6077e8c72060206d6089372027303d60993c5b2a4730400c5a7d1ecec959372027305d807d60ab2a5dc0c1aa402a7730600d60be4c6720a0411d60cdb6308720ad60db2720c730700d60eb27205730800d60fb2720c730900d610e4c6720104119683090193c1720ac1a793c2720ac2a793b2720b730a009ab27203730b00730c93b2720b730d00b27203730e0093e4c6720a050e7204938c720d018c720e01938c720d028c720e02938c720f018c720601937e8c720f02069a72079d9c7eb27210730f000672077eb272107310000673119596830301720872098fb2e4c6b2a57312000411731300b2e4c672010411731400d801d60ab2a57315009593c2720ac2a7d801d60bc6720a050e9683020195e6720b93e4720b72047316938cb2db6308b2a57317007318000172047319731a9683020172087209",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ec9abcf5dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661872866998]"
},
"R5": {
"serializedValue": "0e20bd0d7919e1999574584b659421446360d18a488f067d7d85c7c7c1b515bb8e7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd0d7919e1999574584b659421446360d18a488f067d7d85c7c7c1b515bb8e7b"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 6631561241,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ee8bc9f5dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661872972535]"
},
"R5": {
"serializedValue": "0e20ff251b3b991350e55b1c43f5b026fe12891683d5ac265291037fd565800edff1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ff251b3b991350e55b1c43f5b026fe12891683d5ac265291037fd565800edff1"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 36,
"globalIndex": 25601865,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 14509092234,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202f296f3ffdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661883803065]"
},
"R5": {
"serializedValue": "0e20a75181c554e2bfce78405fca27f8a1998be38899c3968e600cbae517f7b9bab8",
"sigmaType": "Coll[SByte]",
"renderedValue": "a75181c554e2bfce78405fca27f8a1998be38899c3968e600cbae517f7b9bab8"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 37,
"globalIndex": 25601866,
"creationHeight": 917987,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202de8db081de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661885350767]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d169f8fc0a9aa5b6e4c3f4985d4ee78395a3fa5a9471379218fd29bf14f6ec8e"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2056298008,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202aa8ce281de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661885760277]"
},
"R5": {
"serializedValue": "0e200828d3ff5bf780ad7d2afd94dadacfeebb1f678cbd8a36cf9407e5d70b9ac079",
"sigmaType": "Coll[SByte]",
"renderedValue": "0828d3ff5bf780ad7d2afd94dadacfeebb1f678cbd8a36cf9407e5d70b9ac079"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 39,
"globalIndex": 25601868,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 22999693945,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202b0cda782de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661886329688]"
},
"R5": {
"serializedValue": "0e20464ad851183223b0be7776e78497c639179dec98d7dfb094afe0de509b760576",
"sigmaType": "Coll[SByte]",
"renderedValue": "464ad851183223b0be7776e78497c639179dec98d7dfb094afe0de509b760576"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 40,
"globalIndex": 25601869,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202caa3d983de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661887785189]"
},
"R5": {
"serializedValue": "0e20889f8cef1d804573f8abc51789c56ce1c1a640bd3f10d8957d48f6497f15a61b",
"sigmaType": "Coll[SByte]",
"renderedValue": "889f8cef1d804573f8abc51789c56ce1c1a640bd3f10d8957d48f6497f15a61b"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2393708991,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202e8ec8884de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661888174900]"
},
"R5": {
"serializedValue": "0e2008fa203690f1d9a4baca58946fad498f39bc151ca2f26ae19448e4568a762d8d",
"sigmaType": "Coll[SByte]",
"renderedValue": "08fa203690f1d9a4baca58946fad498f39bc151ca2f26ae19448e4568a762d8d"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 42,
"globalIndex": 25601871,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4112596159250,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202d4fb8786de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661890264810]"
},
"R5": {
"serializedValue": "0e20d5873fee0d8919ec60fc2e5f925291351791d0d18b8521089faf43f4783cf2c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5873fee0d8919ec60fc2e5f925291351791d0d18b8521089faf43f4783cf2c9"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 43,
"globalIndex": 25601872,
"creationHeight": 917987,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDQx5ZLz6rZUdokD1kmTXSRZ8GfrsAUW4vqy9eg5omtTYVzY22ibHANf7GgSc2E5FiThgo8qXzWpU3RDLohN277hksbAf9yykajXbYPUaXUeMPfSXbS1GdE4y2GoYKaXHR3H57MV5CDZE58YteqWe3XVXzmMvj1192AD7UZ1N6nguRfjgijxEWTrLq2ZrykjRAut2JBGYHanAKn46tYWW3chpxNosXG7ZW2ShDzKju2ttHhfxeZVMBydryuoEya5E9KVagjsfa9E2qPUdLpbh8enppVWcwoQ4GF1ktgzSX32QbfKhfpD23iWQixThUbcCca14FjXDt94GVFPuhAT5tQyiKen863Cq5eRAEgsQ7otX6pWa32Q28sxSF9Az4abwiJKNbFhbhb3cDCs6A45ZnW6aB6AkfwTJSAZ2ZzqqG7LXT4HdxNpdmiwno9sJWxPf2PC4vRhVqBPdxxyCgoodjyutf4UuinSCibhfqdhUJLc1JM8zX9UcD699mChgUZoKE8kXD4soVGSgQD3qfGXC6RP7n8dtowArNLm3H5QJ3EobDCbEgECLHFaHN2BPwwWscAt5eejKeFvkp3CuQ3mqFW7vfQG4n9tTLnshj8cjxnpkBdfFKC83sW8A3AoZAX4K1UrhndfLSFh4w",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102920290c9ea86de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661891072584]"
},
"R5": {
"serializedValue": "0e20c2be67c676ad0cf8a00b776f7f35df81e560f35b303c2b6f31ceaf306602efe1",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2be67c676ad0cf8a00b776f7f35df81e560f35b303c2b6f31ceaf306602efe1"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 3392891762,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102920294d88a87de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661891335690]"
},
"R5": {
"serializedValue": "0e20cc9270dc4a0a47d18ec2e325012eb026cd05663e7d10fee8df5ad2a9fbfa92a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc9270dc4a0a47d18ec2e325012eb026cd05663e7d10fee8df5ad2a9fbfa92a2"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"value": 1000000,
"index": 45,
"globalIndex": 25601874,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 15422235528,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202ca9d9287de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661891397477]"
},
"R5": {
"serializedValue": "0e20e882ece2eb88ab04cf91834de8ba95aa0c0400aa9dc27a417c9857a9733ea66e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e882ece2eb88ab04cf91834de8ba95aa0c0400aa9dc27a417c9857a9733ea66e"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
"index": 46,
"globalIndex": 25601875,
"creationHeight": 917987,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 647733895026,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202a0f8b1fbdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661879074320]"
},
"R5": {
"serializedValue": "0e2096d76e6259d4fcbdda67ced0ce4b426f3dcec3d9f909ad995035601d2bc760db",
"sigmaType": "Coll[SByte]",
"renderedValue": "96d76e6259d4fcbdda67ced0ce4b426f3dcec3d9f909ad995035601d2bc760db"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 28448883867,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202b4fc98bcdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1661812809498]"
},
"R5": {
"serializedValue": "0e2059e5f0c98eb9b41183102b3c2d7f88b507f778b90a0ce9bbd82d51643502b4ee",
"sigmaType": "Coll[SByte]",
"renderedValue": "59e5f0c98eb9b41183102b3c2d7f88b507f778b90a0ce9bbd82d51643502b4ee"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
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"index": 48,
"globalIndex": 25601877,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 31099746012,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029202a8a3cfe5e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1663198423252]"
},
"R5": {
"serializedValue": "0e20d17461db126fa0f7ae62296e9c4f069faae969e2a5ab626b99ebddf19594fcc7",
"sigmaType": "Coll[SByte]",
"renderedValue": "d17461db126fa0f7ae62296e9c4f069faae969e2a5ab626b99ebddf19594fcc7"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"index": 49,
"globalIndex": 25601878,
"creationHeight": 917987,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110292029a89e0e7e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1663200657997]"
},
"R5": {
"serializedValue": "0e20669d14173288a18ceee7b4f7c4a69c90b2d240db287b7e002390275acae02301",
"sigmaType": "Coll[SByte]",
"renderedValue": "669d14173288a18ceee7b4f7c4a69c90b2d240db287b7e002390275acae02301"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
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"value": 1000000,
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"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 2557544841,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102920292dffde9e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[137,1663202998217]"
},
"R5": {
"serializedValue": "0e2092886b99bfb197afbbd7fe8d8eb311e3a4faa994955176d29db99939964c7cfe",
"sigmaType": "Coll[SByte]",
"renderedValue": "92886b99bfb197afbbd7fe8d8eb311e3a4faa994955176d29db99939964c7cfe"
}
},
"spentTransactionId": "5c938c11eda54788f9e4585d7ff0f5d436e78cc3ae4ace26b046b0a06bfdfda8",
"mainChain": true
},
{
"boxId": "3b12929fed8df8cccfc63bad16fa27afc543c2afe54d765cf3b4207db31d0c97",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 72000000,
"index": 51,
"globalIndex": 25601880,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "be6d6e4873f4cad82359cf7fb188eeb10fc170b2b59fd11e1437263eb7e44b9d",
"mainChain": true
},
{
"boxId": "9cdff302457abd072d498be4aff76b7a3ff0c032b791ade347f81f5095d2eb17",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 8000000,
"index": 52,
"globalIndex": 25601881,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "02e645b1078387e14497a4b8686744aae87398f16b188bf7eb9186e3c4e17b6b",
"mainChain": true
},
{
"boxId": "c66a7f1a0c23e0453d155e57bb45b0d47d4ab25091ef21234266297ff7db1d4c",
"transactionId": "7e53036cdbaedf369eefdfc3bff41c921be77164059d0f9a1bb0e0131d4bc8ce",
"blockId": "fe462da42d086267613e631f60c87418249d56ebaa1e3b9756210e7e926eef30",
"value": 6000000,
"index": 53,
"globalIndex": 25601882,
"creationHeight": 917987,
"settlementHeight": 917990,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2c9f49a149d2adfea053d7c7a78cbbfea212e1889270fbb8748d06f03c328de5",
"mainChain": true
}
],
"size": 30671,
"isUnconfirmed": false
}