Transaction
ID: 1ab1c794cd...8d95
Inputs (52)
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Address:
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0.001 ERG
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0.001 ERG
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0.001 ERG
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Outputs (54)
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Transaction Details
Confirmations: 919,416
Total coins transferred: 0.151 ERG
Fees: 0.006 ERG
Fees per byte: 0.000000196 ERG
Raw Transaction Data
{
"id": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"inclusionHeight": 848188,
"timestamp": 1665220144491,
"index": 9,
"globalIndex": 4120431,
"numConfirmations": 919416,
"inputs": [
{
"boxId": "71bae36f9fb545401d1f0f183497902d3df4b87a83c630c94484d583aaf4aed6",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"outputTransactionId": "715507121faeb39ff8281f67f9bbb7c98319a98308ee2254471f0d342b8672df",
"outputIndex": 0,
"outputGlobalIndex": 22314249,
"outputCreatedAt": 848186,
"outputSettledAt": 848188,
"ergoTree": "102d0400040404020e20472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8040004000e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b0404040604000402040205000402040004060400040605c8010400040001000402040004000e20a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0040004020100040606010004020400040004000402040204000404040004040404040404060100d807d601b2a4730000d602c5a7d603b2a5730100d604b2a4730200d6057303d606b2a5730400d607db6308a7d1ec9596830201938cb2db6308720173050001730693c5b2a47307007202d807d608e4c672030411d609b27208730800d60ab2e4c672040411730900d60bdb6308a7d60c9a8cb2db63087204730a00028cb2720b730b018602830002730c02d60ddb63087203d60eb2720d730d009683070193c17203c1a793c27203c2a793b47208730e730fb4e4c67201041173107311937209958f720a720c99720a9d720a7312720c938cb2720d731300018cb2720b73140001938c720e017205938c720e02720973159593c572017202d807d608db63087206d6097e8cb272077316000206d60ab5a4d9010a63d801d60cdb6308720a9591b1720c7317ed938cb2720c73180001731993b2e4c6720a0411731a00b2e4c6a70411731b00731cd60be4c6a70411d60cb2720b731d00d60db0720a731ed9010d42639a8c720d019d9c7e8cb2db63088c720d02731f0002067e720c067eb2720b73200006d60ee4c6720604119683070193c17206c1a793c27206c2a7938cb27208732100018cb272077322000195907209720d93b172087323d801d60fb27208732400ed938c720f017205927e8c720f0206997209720d93b4720e73257326b4720b7327732893b2720e73290099b2720b732a007eb1720a0593b2720e732b00720c732c",
"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": 34147549854,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11049e8f9fe89ae7494c8410e0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[162301823149007,38,1026,34718310000]"
}
}
},
{
"boxId": "3f7ab6b1c99b81434ef9f2755403c9f5eba5ec2d603fdbba20158e86b215cd57",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bed9815fcd6d49f4c562a3cd274e7d28234b8e5a3201e765aa8d94cfcb5a76c5",
"outputTransactionId": "47be248f1f9b7effdab3c1e938d20e7ca785e091af0e64e146e1f4b0eaac3c55",
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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": 68529430202,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661914095663]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d721d8157c98498b6b00b81daf618b154c985071ba3308ce27a8d85a84da4b7b"
}
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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": "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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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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661914090554]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "2f1f9c08fabd9ae8a08386af31c352fd0a40b53b6b9fd8b96a0eb3ddf80c3541"
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{
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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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],
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661913829261]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "8503f01056b7562f57e56faaa23a7f213837e317093ea338dad0175a92d7f62b"
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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": 4043034231253,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661913783618]"
},
"R5": {
"serializedValue": "0e20c0ed2760c1966c504e46b5a00d84cbdeaad8f9ba0808ef3246016e13cd889517",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0ed2760c1966c504e46b5a00d84cbdeaad8f9ba0808ef3246016e13cd889517"
}
}
},
{
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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": "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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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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661883269097]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "cbe6235050c9b61ff4831ee245203140ed73cf168fba03fa320605e8f40aa750"
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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": "[38,1661882742232]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "c4a3a434d1a023ab17347624e13a45b254986a1bab32832d5d6192447c20d42f"
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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": 42593510044,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661881941583]"
},
"R5": {
"serializedValue": "0e20a2e2b37e0b4382d78d9c85a9231d64b53546e72d9f00e786d46d710a25195267",
"sigmaType": "Coll[SByte]",
"renderedValue": "a2e2b37e0b4382d78d9c85a9231d64b53546e72d9f00e786d46d710a25195267"
}
}
},
{
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"index": 8,
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"outputGlobalIndex": 22279818,
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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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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661881623646]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "99569b3efc4b4bb61f8092b0ac20b908c9e1d24917264ebe6bc78b6b0ce7ff72"
}
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"index": 9,
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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": "[38,1661881416141]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "d7dcd5a3acb436cbd16332721158f8508470abc46c4e893f703ab04a3812ce2c"
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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": 3145273559,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ceae1a7fddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661881088117]"
},
"R5": {
"serializedValue": "0e2018df5aef9183b114afdc16cab1106fcb6ceaa2b7861d1147473bfffeabd9008b",
"sigmaType": "Coll[SByte]",
"renderedValue": "18df5aef9183b114afdc16cab1106fcb6ceaa2b7861d1147473bfffeabd9008b"
}
}
},
{
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"index": 11,
"spendingProof": null,
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"outputGlobalIndex": 22279815,
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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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"index": 1,
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"name": "NETA",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661880709169]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b241fe5c083631de6ef3e973f9cdeedc32cfb4207aca5f27e96e16e773696dc9"
}
}
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{
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"index": 12,
"spendingProof": null,
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"outputGlobalIndex": 22279814,
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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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"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661880294666]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "417255cfe9e6d8294d233230c764f2b38bd03bcb991614af59e1c48d092225c6"
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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": 2042128296,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661880144196]"
},
"R5": {
"serializedValue": "0e205db48d1eef67ef3da96ccce37257208e8766760ae81fff8ef3c783cd604f77be",
"sigmaType": "Coll[SByte]",
"renderedValue": "5db48d1eef67ef3da96ccce37257208e8766760ae81fff8ef3c783cd604f77be"
}
}
},
{
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"index": 14,
"spendingProof": null,
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"outputTransactionId": "47be248f1f9b7effdab3c1e938d20e7ca785e091af0e64e146e1f4b0eaac3c55",
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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": "[38,1661880126268]"
},
"R5": {
"serializedValue": "0e209286760267c67cbe770de4f2a9b3fb775d268378870a93bac51ce3a619f41ed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9286760267c67cbe770de4f2a9b3fb775d268378870a93bac51ce3a619f41ed6"
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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": "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",
"assets": [
{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661879675305]"
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"R5": {
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"renderedValue": "1d12b4a8a5b13e5747ba4ff302815e52ad6f67091c7c1549ec70057e1640f108"
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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": 2021517095,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661879599410]"
},
"R5": {
"serializedValue": "0e2079cba490cd646d59fab12c10dcc7fe0d76ecd2ec8accf2c3b3a01b0ba2f59577",
"sigmaType": "Coll[SByte]",
"renderedValue": "79cba490cd646d59fab12c10dcc7fe0d76ecd2ec8accf2c3b3a01b0ba2f59577"
}
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{
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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}",
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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": "[38,1661879305414]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "dd5a90b3742038955474716cf9b504a553cc1b9a204ae423de60df5577aeba57"
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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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"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": 1952831794,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661878159088]"
},
"R5": {
"serializedValue": "0e20da4a62cf92610fd5da4a6fd27073f72f21673c01d29672d3a7e99f23c72e2452",
"sigmaType": "Coll[SByte]",
"renderedValue": "da4a62cf92610fd5da4a6fd27073f72f21673c01d29672d3a7e99f23c72e2452"
}
}
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{
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"index": 20,
"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": "[38,1661878081313]"
},
"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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"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": 21254230934,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661877250135]"
},
"R5": {
"serializedValue": "0e20168fc3119c542421f45f5476d9954677a47a60836892ed5f23b8fbf4d3dc2c79",
"sigmaType": "Coll[SByte]",
"renderedValue": "168fc3119c542421f45f5476d9954677a47a60836892ed5f23b8fbf4d3dc2c79"
}
}
},
{
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"index": 23,
"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",
"decimals": 0,
"type": "EIP-004"
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663554647424]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ef50018a636d655104fcf46e04e2bdc5f4d7dea407f1ab80750c4fb39f7bf365"
}
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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": "[38,1663196464414]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "3491b00570a6e4de2e65d3a047ed3b2257420b49a3d839c3cc61bd35a18559ef"
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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": 5861496087658,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663542307678]"
},
"R5": {
"serializedValue": "0e204e60f6f2824c6ea743321756cbcd24a34d94905971635b3cb7d771e74e790b10",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e60f6f2824c6ea743321756cbcd24a34d94905971635b3cb7d771e74e790b10"
}
}
},
{
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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",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 3510958226,
"name": "NETA",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663529865743]"
},
"R5": {
"serializedValue": "0e20f37d3ad379687cee1c90a13fa8435a5ba43b4b236beaaf2bea03276ebe52d357",
"sigmaType": "Coll[SByte]",
"renderedValue": "f37d3ad379687cee1c90a13fa8435a5ba43b4b236beaaf2bea03276ebe52d357"
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{
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"index": 27,
"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}",
"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": "[38,1663522701014]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a532b5fabeabaa524c2a57985404c2f3c0d6b232694da853b60f5955528c3f45"
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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,
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"name": "NETA Stake Token",
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"type": "EIP-004"
},
{
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"index": 1,
"amount": 2009132040,
"name": "NETA",
"decimals": 6,
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663504736190]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "fbf228a7c636e4ae8f2a4e3f9a620adf519491f7aff9e94af5ac7877d169b822"
}
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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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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1662049629466]"
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"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]",
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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",
"decimals": 0,
"type": "EIP-004"
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661864168193]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a61afcd791cd7ed1781db112a0a1cbf88c92a20b4751b764b94115889c6f4e0e"
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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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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1661864508131]"
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"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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"index": 0,
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"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "NETA",
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663496781432]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ae0d50b0a6b6ff4c9224d50f62983cb9ba3e51fb78d1c86cf738c29e2bc829ce"
}
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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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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663465275016]"
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"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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"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",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 11455248707,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663453739214]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "61402fddf6309bc894aeae8f6b560f4e9275d4ba014ef312501422c6f517f2ee"
}
}
},
{
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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": "[38,1664621242308]"
},
"R5": {
"serializedValue": "0e20e5c68bfcef2f74a9ad58a4862500e1c332f9354adb9df14418e6a56dedf80384",
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"renderedValue": "e5c68bfcef2f74a9ad58a4862500e1c332f9354adb9df14418e6a56dedf80384"
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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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"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": 13063002917,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663452005000]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a365d982d240a824f4158cae1c2fabd0d91aab4a3816a74f62c7a688b0b88ece"
}
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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": "[38,1662778324450]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "73e3800fc00c66709e909b17b3a7536b4e6065aa7be82d3167994bb12426dc78"
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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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"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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{
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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": "[38,1661857444881]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "489cfd30974db1b797c003fc6ad1bc19c734d188f07ee839e86a9e15da843d1e"
}
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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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],
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663422951565]"
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"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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"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": 2512817947,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663403732752]"
},
"R5": {
"serializedValue": "0e201284a5c5c943c48711dfa6b95b9511bf2e274cd035286e1cd163fce3c73526db",
"sigmaType": "Coll[SByte]",
"renderedValue": "1284a5c5c943c48711dfa6b95b9511bf2e274cd035286e1cd163fce3c73526db"
}
}
},
{
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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}",
"address": "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",
"assets": [
{
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],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663398385139]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a24e8fc3cb9cdc377bd802edddb8603d52a743fd58bbaaf333e481952e62eeb2"
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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": [
{
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"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 13770242392,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024cdafc8e8be960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663371960109]"
},
"R5": {
"serializedValue": "0e20a73bf6772910f3ec5b0d9e02cd5860b9faabc066b0282815e2bb8f242474567d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a73bf6772910f3ec5b0d9e02cd5860b9faabc066b0282815e2bb8f242474567d"
}
}
},
{
"boxId": "f84607704235ec7e3cb859cf059a2886fc316a0823fd1a19dc10d235092b89a2",
"value": 1000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "bed9815fcd6d49f4c562a3cd274e7d28234b8e5a3201e765aa8d94cfcb5a76c5",
"outputTransactionId": "8fe8b111f6f77232724b5dcd69e0f3fa1766934972b57c7f8520f13266b623ba",
"outputIndex": 29,
"outputGlobalIndex": 22279771,
"outputCreatedAt": 847487,
"outputSettledAt": 847489,
"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": 7505839610,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024cccc48a80e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[38,1663360389414]"
},
"R5": {
"serializedValue": "0e203714d0a81e99b79eaef754f55b04589a11a4a48e7bad54d3555300f9df94864f",
"sigmaType": "Coll[SByte]",
"renderedValue": "3714d0a81e99b79eaef754f55b04589a11a4a48e7bad54d3555300f9df94864f"
}
}
},
{
"boxId": "bbd2b36d3cd84d5df43b56716ff24873ecf6f38c0d7bb79f00641a9fdd9a76ef",
"value": 100000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "22bf2decad2890bacca0a55e364ddfead3d887489c536da65ae06ccc008107b8",
"outputTransactionId": "f549c36c942d8d9a37d5b6c92011c9e82adb751f494efc298a935f90f640725f",
"outputIndex": 2,
"outputGlobalIndex": 22281944,
"outputCreatedAt": 847529,
"outputSettledAt": 847531,
"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": "09f1499848ef7aead5a9abb719ff1d7d5ff784498aecaf7e4cececfae188362c",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 0,
"globalIndex": 22314303,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 31915398629,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11049e8f9fe89ae7494ca00fe0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[162301823149007,38,976,34718310000]"
}
},
"spentTransactionId": "f66afa0fc8a6f0631fd9bd836b51b260d4153b22a9e8a230fb719e7448c1a459",
"mainChain": true
},
{
"boxId": "6feb851c294b307bd8e1020e3f5173f0a99632c17ad17946f0edbab76f9fc32f",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 1,
"globalIndex": 22314304,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 68544089470,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ede80e59cde60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661914095663]"
},
"R5": {
"serializedValue": "0e20d721d8157c98498b6b00b81daf618b154c985071ba3308ce27a8d85a84da4b7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "d721d8157c98498b6b00b81daf618b154c985071ba3308ce27a8d85a84da4b7b"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
"boxId": "259d2477309cce4a4499d782f5127e0d7d2b60cc6a500c338ed8ea1e26ff470d",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 2,
"globalIndex": 22314305,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 7076823382,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ef4b0e49cde60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661914090554]"
},
"R5": {
"serializedValue": "0e202f1f9c08fabd9ae8a08386af31c352fd0a40b53b6b9fd8b96a0eb3ddf80c3541",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f1f9c08fabd9ae8a08386af31c352fd0a40b53b6b9fd8b96a0eb3ddf80c3541"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 3,
"globalIndex": 22314306,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 6408294414,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9abec49cde60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661913829261]"
},
"R5": {
"serializedValue": "0e208503f01056b7562f57e56faaa23a7f213837e317093ea338dad0175a92d7f62b",
"sigmaType": "Coll[SByte]",
"renderedValue": "8503f01056b7562f57e56faaa23a7f213837e317093ea338dad0175a92d7f62b"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 4,
"globalIndex": 22314307,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 4043899084851,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e84f5be9cde60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661913783618]"
},
"R5": {
"serializedValue": "0e20c0ed2760c1966c504e46b5a00d84cbdeaad8f9ba0808ef3246016e13cd889517",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0ed2760c1966c504e46b5a00d84cbdeaad8f9ba0808ef3246016e13cd889517"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"value": 1000000,
"index": 5,
"globalIndex": 22314308,
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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": 4043899065,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ed2ffb1ffdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661883269097]"
},
"R5": {
"serializedValue": "0e20cbe6235050c9b61ff4831ee245203140ed73cf168fba03fa320605e8f40aa750",
"sigmaType": "Coll[SByte]",
"renderedValue": "cbe6235050c9b61ff4831ee245203140ed73cf168fba03fa320605e8f40aa750"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 6,
"globalIndex": 22314309,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 23087630832,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eb0d7f1fedd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661882742232]"
},
"R5": {
"serializedValue": "0e20c4a3a434d1a023ab17347624e13a45b254986a1bab32832d5d6192447c20d42f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c4a3a434d1a023ab17347624e13a45b254986a1bab32832d5d6192447c20d42f"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"value": 1000000,
"index": 7,
"globalIndex": 22314310,
"creationHeight": 848186,
"settlementHeight": 848188,
"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,
"amount": 42602621307,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9ef98ffedd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661881941583]"
},
"R5": {
"serializedValue": "0e20a2e2b37e0b4382d78d9c85a9231d64b53546e72d9f00e786d46d710a25195267",
"sigmaType": "Coll[SByte]",
"renderedValue": "a2e2b37e0b4382d78d9c85a9231d64b53546e72d9f00e786d46d710a25195267"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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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}",
"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": 757014795,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ebc91e9fddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661881623646]"
},
"R5": {
"serializedValue": "0e2099569b3efc4b4bb61f8092b0ac20b908c9e1d24917264ebe6bc78b6b0ce7ff72",
"sigmaType": "Coll[SByte]",
"renderedValue": "99569b3efc4b4bb61f8092b0ac20b908c9e1d24917264ebe6bc78b6b0ce7ff72"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 9,
"globalIndex": 22314312,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 2498706084,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9ae7cffddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661881416141]"
},
"R5": {
"serializedValue": "0e20d7dcd5a3acb436cbd16332721158f8508470abc46c4e893f703ab04a3812ce2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7dcd5a3acb436cbd16332721158f8508470abc46c4e893f703ab04a3812ce2c"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"index": 10,
"globalIndex": 22314313,
"creationHeight": 848186,
"settlementHeight": 848188,
"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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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eeae1a7fddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661881088117]"
},
"R5": {
"serializedValue": "0e2018df5aef9183b114afdc16cab1106fcb6ceaa2b7861d1147473bfffeabd9008b",
"sigmaType": "Coll[SByte]",
"renderedValue": "18df5aef9183b114afdc16cab1106fcb6ceaa2b7861d1147473bfffeabd9008b"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 11,
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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": 14254744254,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ee2c0f9fcdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661880709169]"
},
"R5": {
"serializedValue": "0e20b241fe5c083631de6ef3e973f9cdeedc32cfb4207aca5f27e96e16e773696dc9",
"sigmaType": "Coll[SByte]",
"renderedValue": "b241fe5c083631de6ef3e973f9cdeedc32cfb4207aca5f27e96e16e773696dc9"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 12,
"globalIndex": 22314315,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 28762232222,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e94f4c6fcdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661880294666]"
},
"R5": {
"serializedValue": "0e20417255cfe9e6d8294d233230c764f2b38bd03bcb991614af59e1c48d092225c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "417255cfe9e6d8294d233230c764f2b38bd03bcb991614af59e1c48d092225c6"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 13,
"globalIndex": 22314316,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": "11024e88c5b4fcdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661880144196]"
},
"R5": {
"serializedValue": "0e205db48d1eef67ef3da96ccce37257208e8766760ae81fff8ef3c783cd604f77be",
"sigmaType": "Coll[SByte]",
"renderedValue": "5db48d1eef67ef3da96ccce37257208e8766760ae81fff8ef3c783cd604f77be"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 14,
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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": 16528112578,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ef8acb2fcdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661880126268]"
},
"R5": {
"serializedValue": "0e209286760267c67cbe770de4f2a9b3fb775d268378870a93bac51ce3a619f41ed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9286760267c67cbe770de4f2a9b3fb775d268378870a93bac51ce3a619f41ed6"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 15,
"globalIndex": 22314318,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 39446612808,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ed2a6fbfbdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661879675305]"
},
"R5": {
"serializedValue": "0e201d12b4a8a5b13e5747ba4ff302815e52ad6f67091c7c1549ec70057e1640f108",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d12b4a8a5b13e5747ba4ff302815e52ad6f67091c7c1549ec70057e1640f108"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"value": 1000000,
"index": 16,
"globalIndex": 22314319,
"creationHeight": 848186,
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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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"amount": 2021949521,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ee484f2fbdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661879599410]"
},
"R5": {
"serializedValue": "0e2079cba490cd646d59fab12c10dcc7fe0d76ecd2ec8accf2c3b3a01b0ba2f59577",
"sigmaType": "Coll[SByte]",
"renderedValue": "79cba490cd646d59fab12c10dcc7fe0d76ecd2ec8accf2c3b3a01b0ba2f59577"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"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}",
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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": 1010974753,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e8c93cefbdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661879305414]"
},
"R5": {
"serializedValue": "0e20dd5a90b3742038955474716cf9b504a553cc1b9a204ae423de60df5577aeba57",
"sigmaType": "Coll[SByte]",
"renderedValue": "dd5a90b3742038955474716cf9b504a553cc1b9a204ae423de60df5577aeba57"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 18,
"globalIndex": 22314321,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 131426699,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ebea8ccfbdd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661879290399]"
},
"R5": {
"serializedValue": "0e20f102e33b4aafa6588e2c939540c3300acd56fd6c6e1efe481d7555421cb66feb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f102e33b4aafa6588e2c939540c3300acd56fd6c6e1efe481d7555421cb66feb"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"index": 19,
"globalIndex": 22314322,
"creationHeight": 848186,
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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}",
"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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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ee09bc2fadd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661878159088]"
},
"R5": {
"serializedValue": "0e20da4a62cf92610fd5da4a6fd27073f72f21673c01d29672d3a7e99f23c72e2452",
"sigmaType": "Coll[SByte]",
"renderedValue": "da4a62cf92610fd5da4a6fd27073f72f21673c01d29672d3a7e99f23c72e2452"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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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": 8047173832,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ec2dcb8fadd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661878081313]"
},
"R5": {
"serializedValue": "0e20c3d706957069fbdc58ac314faf2050e0e8feb389377e9bb290dcfc54d5305caa",
"sigmaType": "Coll[SByte]",
"renderedValue": "c3d706957069fbdc58ac314faf2050e0e8feb389377e9bb290dcfc54d5305caa"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 21,
"globalIndex": 22314324,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 25072174306,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ec0cef5f9dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661877531552]"
},
"R5": {
"serializedValue": "0e2085aaeef7c6e795c47ff62905d223a4bb06f9db3338926b49d1cacfe894c3439a",
"sigmaType": "Coll[SByte]",
"renderedValue": "85aaeef7c6e795c47ff62905d223a4bb06f9db3338926b49d1cacfe894c3439a"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 22,
"globalIndex": 22314325,
"creationHeight": 848186,
"settlementHeight": 848188,
"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,
"amount": 21258777469,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eaea1d3f9dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661877250135]"
},
"R5": {
"serializedValue": "0e20168fc3119c542421f45f5476d9954677a47a60836892ed5f23b8fbf4d3dc2c79",
"sigmaType": "Coll[SByte]",
"renderedValue": "168fc3119c542421f45f5476d9954677a47a60836892ed5f23b8fbf4d3dc2c79"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"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": 4220079826,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e80d6abb9ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663554647424]"
},
"R5": {
"serializedValue": "0e20ef50018a636d655104fcf46e04e2bdc5f4d7dea407f1ab80750c4fb39f7bf365",
"sigmaType": "Coll[SByte]",
"renderedValue": "ef50018a636d655104fcf46e04e2bdc5f4d7dea407f1ab80750c4fb39f7bf365"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 24,
"globalIndex": 22314327,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 3349279321,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ebc94e0e3e760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663196464414]"
},
"R5": {
"serializedValue": "0e203491b00570a6e4de2e65d3a047ed3b2257420b49a3d839c3cc61bd35a18559ef",
"sigmaType": "Coll[SByte]",
"renderedValue": "3491b00570a6e4de2e65d3a047ed3b2257420b49a3d839c3cc61bd35a18559ef"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"index": 25,
"globalIndex": 22314328,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 5862749932096,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ebcadc9adea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663542307678]"
},
"R5": {
"serializedValue": "0e204e60f6f2824c6ea743321756cbcd24a34d94905971635b3cb7d771e74e790b10",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e60f6f2824c6ea743321756cbcd24a34d94905971635b3cb7d771e74e790b10"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"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": 3511709262,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9ec8daa1ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663529865743]"
},
"R5": {
"serializedValue": "0e20f37d3ad379687cee1c90a13fa8435a5ba43b4b236beaaf2bea03276ebe52d357",
"sigmaType": "Coll[SByte]",
"renderedValue": "f37d3ad379687cee1c90a13fa8435a5ba43b4b236beaaf2bea03276ebe52d357"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 27,
"globalIndex": 22314330,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 159005915,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eacfbef9aea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663522701014]"
},
"R5": {
"serializedValue": "0e20a532b5fabeabaa524c2a57985404c2f3c0d6b232694da853b60f5955528c3f45",
"sigmaType": "Coll[SByte]",
"renderedValue": "a532b5fabeabaa524c2a57985404c2f3c0d6b232694da853b60f5955528c3f45"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 28,
"globalIndex": 22314331,
"creationHeight": 848186,
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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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"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024efcfede89ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663504736190]"
},
"R5": {
"serializedValue": "0e20fbf228a7c636e4ae8f2a4e3f9a620adf519491f7aff9e94af5ac7877d169b822",
"sigmaType": "Coll[SByte]",
"renderedValue": "fbf228a7c636e4ae8f2a4e3f9a620adf519491f7aff9e94af5ac7877d169b822"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"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": 21857923294,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eb4d4859edf60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1662049629466]"
},
"R5": {
"serializedValue": "0e2059542d43d3a1690d313d58d10fa62c9451be9dc5f429401b8ce242f100a8c878",
"sigmaType": "Coll[SByte]",
"renderedValue": "59542d43d3a1690d313d58d10fa62c9451be9dc5f429401b8ce242f100a8c878"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 30,
"globalIndex": 22314333,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 9095232167,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e8698d5eddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661864683011]"
},
"R5": {
"serializedValue": "0e206208d85e30d3ba1f69580c35daed82c41a3cf5ec72b4e3bfeb8273ebef79b0e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "6208d85e30d3ba1f69580c35daed82c41a3cf5ec72b4e3bfeb8273ebef79b0e9"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"index": 31,
"globalIndex": 22314334,
"creationHeight": 848186,
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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": "11024e82ac96eddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661864168193]"
},
"R5": {
"serializedValue": "0e20a61afcd791cd7ed1781db112a0a1cbf88c92a20b4751b764b94115889c6f4e0e",
"sigmaType": "Coll[SByte]",
"renderedValue": "a61afcd791cd7ed1781db112a0a1cbf88c92a20b4751b764b94115889c6f4e0e"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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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": 4202887451,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ec6ebbfeddd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661864508131]"
},
"R5": {
"serializedValue": "0e20c4fe1be38b4ee5680cdb64f776a7871939f4372e9923c9e991bd0e326f968363",
"sigmaType": "Coll[SByte]",
"renderedValue": "c4fe1be38b4ee5680cdb64f776a7871939f4372e9923c9e991bd0e326f968363"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 33,
"globalIndex": 22314336,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 1115113625,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024edaec8383ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663497698093]"
},
"R5": {
"serializedValue": "0e2032ac9abdac9378f4b29707145950db17fb5a64efefa90b39cd99432f72363f1f",
"sigmaType": "Coll[SByte]",
"renderedValue": "32ac9abdac9378f4b29707145950db17fb5a64efefa90b39cd99432f72363f1f"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"value": 1000000,
"index": 34,
"globalIndex": 22314337,
"creationHeight": 848186,
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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": "11024ef0f99382ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663496781432]"
},
"R5": {
"serializedValue": "0e20ae0d50b0a6b6ff4c9224d50f62983cb9ba3e51fb78d1c86cf738c29e2bc829ce",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae0d50b0a6b6ff4c9224d50f62983cb9ba3e51fb78d1c86cf738c29e2bc829ce"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"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": 10179165421,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e90fa8de4e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663465275016]"
},
"R5": {
"serializedValue": "0e205ac0d213b11ac10dd90afa236e54c044b2626e9bb3c8885756583f00a334d7ad",
"sigmaType": "Coll[SByte]",
"renderedValue": "5ac0d213b11ac10dd90afa236e54c044b2626e9bb3c8885756583f00a334d7ad"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 36,
"globalIndex": 22314339,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 1434481067,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e92d4afdbe960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663456113929]"
},
"R5": {
"serializedValue": "0e20b7ba88dfb02127ef947a8265ff5d9f62981fb8cb442821926402789e3c55f61c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7ba88dfb02127ef947a8265ff5d9f62981fb8cb442821926402789e3c55f61c"
}
},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"index": 37,
"globalIndex": 22314340,
"creationHeight": 848186,
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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": 11457699122,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9ce38dd9e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663453739214]"
},
"R5": {
"serializedValue": "0e2061402fddf6309bc894aeae8f6b560f4e9275d4ba014ef312501422c6f517f2ee",
"sigmaType": "Coll[SByte]",
"renderedValue": "61402fddf6309bc894aeae8f6b560f4e9275d4ba014ef312501422c6f517f2ee"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"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": 7566387887,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e889fc3b2f260",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1664621242308]"
},
"R5": {
"serializedValue": "0e20e5c68bfcef2f74a9ad58a4862500e1c332f9354adb9df14418e6a56dedf80384",
"sigmaType": "Coll[SByte]",
"renderedValue": "e5c68bfcef2f74a9ad58a4862500e1c332f9354adb9df14418e6a56dedf80384"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"index": 39,
"globalIndex": 22314342,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 8552997551,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eb8c89cc5e660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663030235676]"
},
"R5": {
"serializedValue": "0e20d1128baef4d644459143a01aff012a128004b6b1fc1279c151f380400a1ce641",
"sigmaType": "Coll[SByte]",
"renderedValue": "d1128baef4d644459143a01aff012a128004b6b1fc1279c151f380400a1ce641"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"index": 40,
"globalIndex": 22314343,
"creationHeight": 848186,
"settlementHeight": 848188,
"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,
"amount": 13065797250,
"name": "NETA",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e908abad7e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663452005000]"
},
"R5": {
"serializedValue": "0e20a365d982d240a824f4158cae1c2fabd0d91aab4a3816a74f62c7a688b0b88ece",
"sigmaType": "Coll[SByte]",
"renderedValue": "a365d982d240a824f4158cae1c2fabd0d91aab4a3816a74f62c7a688b0b88ece"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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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": 6391523314,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ec4d7fdd4e460",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1662778324450]"
},
"R5": {
"serializedValue": "0e2073e3800fc00c66709e909b17b3a7536b4e6065aa7be82d3167994bb12426dc78",
"sigmaType": "Coll[SByte]",
"renderedValue": "73e3800fc00c66709e909b17b3a7536b4e6065aa7be82d3167994bb12426dc78"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 42,
"globalIndex": 22314345,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 15276932168,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ecad1ddc0e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663428179045]"
},
"R5": {
"serializedValue": "0e20634c4f5725751970503bb2f8658a012324f9ff0bf26fc647e5e1a525a6afbc37",
"sigmaType": "Coll[SByte]",
"renderedValue": "634c4f5725751970503bb2f8658a012324f9ff0bf26fc647e5e1a525a6afbc37"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"value": 1000000,
"index": 43,
"globalIndex": 22314346,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 14597585902,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ea2d0e1e6dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661857444881]"
},
"R5": {
"serializedValue": "0e20489cfd30974db1b797c003fc6ad1bc19c734d188f07ee839e86a9e15da843d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "489cfd30974db1b797c003fc6ad1bc19c734d188f07ee839e86a9e15da843d1e"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"value": 1000000,
"index": 44,
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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": 2512653307,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024e9ac2dfbbe960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663422951565]"
},
"R5": {
"serializedValue": "0e207695da1e43f05db5752fc41aa38a821bbfe48eb67c1f59bd00d9aaa33a819af1",
"sigmaType": "Coll[SByte]",
"renderedValue": "7695da1e43f05db5752fc41aa38a821bbfe48eb67c1f59bd00d9aaa33a819af1"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 45,
"globalIndex": 22314348,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 21755945891,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ecab3fd89de60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1661894372581]"
},
"R5": {
"serializedValue": "0e20d275e3901068318d99d765a49dcae58a9c006b0d79757f53980a289caff83b0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d275e3901068318d99d765a49dcae58a9c006b0d79757f53980a289caff83b0c"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
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"value": 1000000,
"index": 46,
"globalIndex": 22314349,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 2513355468,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ea0bcb5a9e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663403732752]"
},
"R5": {
"serializedValue": "0e201284a5c5c943c48711dfa6b95b9511bf2e274cd035286e1cd163fce3c73526db",
"sigmaType": "Coll[SByte]",
"renderedValue": "1284a5c5c943c48711dfa6b95b9511bf2e274cd035286e1cd163fce3c73526db"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"value": 1000000,
"index": 47,
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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": 2010684372,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ee6d7a8a4e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663398385139]"
},
"R5": {
"serializedValue": "0e20a24e8fc3cb9cdc377bd802edddb8603d52a743fd58bbaaf333e481952e62eeb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "a24e8fc3cb9cdc377bd802edddb8603d52a743fd58bbaaf333e481952e62eeb2"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 1000000,
"index": 48,
"globalIndex": 22314351,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 3014015878,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024ea8cbdc9ce960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663390421716]"
},
"R5": {
"serializedValue": "0e208fddc21dc37b1bc8f8378f656d046e9b4d4eae534303914d977cef4eb2a53e33",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fddc21dc37b1bc8f8378f656d046e9b4d4eae534303914d977cef4eb2a53e33"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"index": 49,
"globalIndex": 22314352,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": 13773188012,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024edafc8e8be960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663371960109]"
},
"R5": {
"serializedValue": "0e20a73bf6772910f3ec5b0d9e02cd5860b9faabc066b0282815e2bb8f242474567d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a73bf6772910f3ec5b0d9e02cd5860b9faabc066b0282815e2bb8f242474567d"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
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"value": 1000000,
"index": 50,
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"creationHeight": 848186,
"settlementHeight": 848188,
"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": 7507445199,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11024eccc48a80e960",
"sigmaType": "Coll[SLong]",
"renderedValue": "[39,1663360389414]"
},
"R5": {
"serializedValue": "0e203714d0a81e99b79eaef754f55b04589a11a4a48e7bad54d3555300f9df94864f",
"sigmaType": "Coll[SByte]",
"renderedValue": "3714d0a81e99b79eaef754f55b04589a11a4a48e7bad54d3555300f9df94864f"
}
},
"spentTransactionId": "15ce1c7142c8825d0c0bf48eaa1ef5de66d19560e5681a8154e1fc17df08e7f5",
"mainChain": true
},
{
"boxId": "45513de1b49811c92e4d736cdf692a196bd7d38d82d0785b8db8e609a5cc1097",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 86000000,
"index": 51,
"globalIndex": 22314354,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKD7gwAnWg5yBqHYy5kg7nTN6bpMgs7kHgqWYYgf4GJs7gTSX3WF3eSLAA3te48rxQchtAJdapuGoyM614kuAbyqQdHBQrYprv1WzHFNmq5dh2hHCQwd3Ms3LNvUARYY2zwW16kpkm7PTUKJV4zMfGMxwaB5gAWWDTs8Pi6S2HoGdtKjEnYotz8NvvwsYTLJbmow19dV82SpNktyht2vDJBLBavQqU2uJRfX7fM49QBVb2x3ENatD6snxU7q2rvo84QGKoov9WkrW2VMBwQyPxBBDjHGpHEwdRV2DbbfLhpWfPQhY9QoSvH1VzeBaeLPM4EF9onjptVmjF6zLcjyopuArondqrfxc72WnuKiNpWdsEPjTQSNtJzzLKW2rhM4m5SZEnZU89rZN6tmDarULAmqNwZRhWGZcrfq76Mw3Pb57bhHeiBcyyR58Hmfd5r6iEN5QXwdNfTtVk2CfHqmQB1qXDxQfvAENhQAgvuREhrBcG1v1EQVs5ZmaDzbMja6yiJZipZVFmv97vNU3uX2R8PzYcpQgpKUPM6KZFHaA8ooYnFS92rK9Ma8kVGinFmw1WUkQbxUUpL9fvGASgRScmr2N9mdPSmc4ECkyQ94bpkA2wZuzErt9kpNWBL2WQJD5rsWXSQFp3n7EFZDxHVnVSGAArTDiP7nhVJXq3ZVwhbmwkB1zaHHSVH9ojeNkbce768oBnDkHVQtJADRJoRi9hoxWCVC9DamBvyKLa6kyDXyEMVa7JK5SgWBvrMwi2NCsXzbSTCSSQxgY3oPbf4jJDpD7PKrds5NqyznG4eqLGPENZwAHR4iqdiUkxMiNdxZkebgwRtBsQwqoMXxB3cU1Uqy9o1hWU3dqMefcDddqrY6vFYewTDpGL5ZNduUadBCcafXiDKpDhMK4jLVxQxwdCWwBETvbX32BxiCCV8o2qYmruCysNCCv18fkHKxpax8QweP9",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "aad14eb9e2c982336ae78b97f9dc6eae1c6ccbb6eb030ed2c73f4ffd7cee80ce",
"mainChain": true
},
{
"boxId": "0d1c87c788f9a4cc9839944235d8f6dd1612d63a073337e87a99ca42a2cf65ab",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 8000000,
"index": 52,
"globalIndex": 22314355,
"creationHeight": 848186,
"settlementHeight": 848188,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "9b3611528ae45275cd0e200d63eb68a6b9c8ec2497e22df054297ebfea9c02c3",
"mainChain": true
},
{
"boxId": "15f058f318369b1f6c52c2878a22705644a724295f9c9e611bc008d77028a146",
"transactionId": "1ab1c794cd5796916ca794f85806e018e8765e587c6e9e170c77efc2543c8d95",
"blockId": "2cfe6f284c0126cb33e3a1215c207fea7b48ad54cf04526bbdda061872b16d2a",
"value": 6000000,
"index": 53,
"globalIndex": 22314356,
"creationHeight": 848186,
"settlementHeight": 848188,
"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": "16b9dc0b917178adca0903a176af5d3727d059475f471ab94b485b8dd29f3050",
"mainChain": true
}
],
"size": 30609,
"isUnconfirmed": false
}