Transaction
ID: 7444a85de1...5611
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 963,385
Total coins transferred: 0.026 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000621 ERG
Raw Transaction Data
{
"id": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"inclusionHeight": 792648,
"timestamp": 1657726290336,
"index": 15,
"globalIndex": 3542608,
"numConfirmations": 963385,
"inputs": [
{
"boxId": "9ad461325d65bbf4ab533b309392be36a6f915a2505ab328b89c3a7e481f5a5a",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d4db486dc6bb58003834c8f3a11721969ed831a4c87eec3c2dc1979c73f311c2",
"outputTransactionId": "e5c9b6a0e24ef1326c5a6ec8983ab835e62724893e70408e00c7f0dec07efe45",
"outputIndex": 0,
"outputGlobalIndex": 19014858,
"outputCreatedAt": 792441,
"outputSettledAt": 792452,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(20,-88,107,-11,96,58,-102,69,-124,91,-126,31,-49,104,120,-55,-62,-52,60,6,-103,-45,29,-63,100,24,-10,57,3,29,28,-106)\n19: Coll(0,-79,-30,54,-74,11,-107,-62,-58,-8,0,122,-99,-119,-68,70,15,-55,-25,-113,-104,-80,-97,-82,-55,68,-112,7,-76,11,-52,-13)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-36,34,-37,-112,62,90,-59,77,-91,-44,-74,-13,61,-47,59,35,48,-73,-102,-102,-28,115,-7,-35,62,-96,-41,-106,-63,23,-108,67)\n50: 2\n51: 1\n52: 0\n53: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "097fd281c99588269d672e1b686bf6bcdce04102e183b2242f6634d93869fc0a",
"index": 0,
"amount": 1,
"name": "EGIO Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d1091393923613",
"index": 1,
"amount": 999999999769,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105cee4c0c394180cce0380bca4e2be6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[415072000295,6,231,1657692000000,86400000]"
}
}
},
{
"boxId": "07a7f955561e046c8a2433b6b4ddc0ecf8b1c8f2a1649005ad5f82b114ca2704",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bf1bde06f21e6f948d2f56d6e7ef97fa9cba002f8d9177f36f28875c2256fc9a",
"outputTransactionId": "428cc37ffc7ea4e6bc6c12cc61c73989057d6114585acb128022abfdc8bbd997",
"outputIndex": 16,
"outputGlobalIndex": 19003378,
"outputCreatedAt": 792344,
"outputSettledAt": 792347,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n4: 1\n5: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\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": "012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d1091393923613",
"index": 0,
"amount": 1,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 198285487,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11020ce2dbdcfeba60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[6,1657184950001]"
},
"R5": {
"serializedValue": "0e2042441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e",
"sigmaType": "Coll[SByte]",
"renderedValue": "42441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e"
}
}
},
{
"boxId": "fcb65c79b03c6a274058d3b4da2729252da31fd9a7fb8d266ceb1a52b6381d24",
"value": 24000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "b9ceb8911bd70cf5d8c462c2b8f5c6ff01eb03027d7efddaada23f731aee610a",
"outputTransactionId": "4532c847cec688ca4787e8124644e55c2e272a1c3bd4e1af305ed76a9a42bb16",
"outputIndex": 0,
"outputGlobalIndex": 19026684,
"outputCreatedAt": 792640,
"outputSettledAt": 792642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n4: 1\n5: 1\n6: 1\n7: 2\n8: 0\n9: 3\n10: 1\n11: 1\n12: 1\n13: Coll(74,-78,13,69,120,-99,-127,12,-67,-81,-35,-42,-124,9,8,-8,121,66,17,70,50,120,-16,-83,-16,-37,-39,-92,114,106,11,-72)\n14: 10000000\n15: 4\n16: 2000000\n17: 5\n18: 2000000\n19: 6\n20: false\n21: 1000000\n22: 2",
"ergoTreeScript": "{\n val coll1 = SELF.R5[Coll[Byte]].get\n val box2 = OUTPUTS(placeholder[Int](0))\n sigmaProp(if (INPUTS(placeholder[Int](1)).tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val tuple5 = SELF.tokens(placeholder[Int](6))\n val box6 = OUTPUTS(placeholder[Int](7))\n val tuple7 = box6.tokens(placeholder[Int](8))\n val box8 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](tuple4._2 == INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._2 + tuple5._2, tuple4._1 == tuple5._1, box6.propositionBytes == coll1, tuple7._1 == box3.R5[Coll[Byte]].get, tuple7._2 == placeholder[Long](12), blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](13), box8.value == placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16), OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18), OUTPUTS.size == placeholder[Int](19)))\n )} else { placeholder[Boolean](20) } || allOf(Coll[Boolean](box2.propositionBytes == coll1, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22))))\n}",
"address": "DV4JyzeK7mPUUx9hJa9Z9NLdNqG1UbS4RffDjBf2ZZ48DqmeooWa5zyr3vjEkYmjQkr9KQUaATaVYMrrDzmz1p67Sw9GZ9Y8EKaRrjpv1tGM4VqXMHrHif3y3hrwRjnmoDtRLLXkKuEbHmMB9ycHbDvjWDsEHV19gA1WuxdvmMYbA32kdtEaHWtG5RQbZfc6kSYgELbYxwppCb3hFhUpgsQhzJYGf1exTJUgdNJVxKrg5cdGF9xZBKHLHdhfntMwqVVNo8paQGcthoLTzfbCc4EVw1b9bHHipJhxiVZYSrbd37keN1u4vfsz34nHv7LqiVBxQPy3mQtthq9LKq8n78FwGbt9XTNpuvDEt82DAS5N3LQK5fcEdRE71katSPEKqA1YJET3oKDy6vEwd364gepYeGRn1a169yHriL57mxLrBK183bFd4GgFcCauxJtXDr5U5fPGv2VskMdAJqufAgEtk2eKWfWd",
"assets": [
{
"tokenId": "42441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e",
"index": 0,
"amount": 1,
"name": "EGIO Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 32786885,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0]"
},
"R5": {
"serializedValue": "0e240008cd020906a43c19bcb01ab2773218725488b8e1f18f8297628fe8c971080a449fbb8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd020906a43c19bcb01ab2773218725488b8e1f18f8297628fe8c971080a449fbb8a"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f450ba8234706cd15b7cdf6246e6e3fa9004cb8d9822ba5a26e05e77295c40e3",
"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 1000000,
"index": 0,
"globalIndex": 19027264,
"creationHeight": 792640,
"settlementHeight": 792648,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(20,-88,107,-11,96,58,-102,69,-124,91,-126,31,-49,104,120,-55,-62,-52,60,6,-103,-45,29,-63,100,24,-10,57,3,29,28,-106)\n19: Coll(0,-79,-30,54,-74,11,-107,-62,-58,-8,0,122,-99,-119,-68,70,15,-55,-25,-113,-104,-80,-97,-82,-55,68,-112,7,-76,11,-52,-13)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-36,34,-37,-112,62,90,-59,77,-91,-44,-74,-13,61,-47,59,35,48,-73,-102,-102,-28,115,-7,-35,62,-96,-41,-106,-63,23,-108,67)\n50: 2\n51: 1\n52: 0\n53: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "097fd281c99588269d672e1b686bf6bcdce04102e183b2242f6634d93869fc0a",
"index": 0,
"amount": 1,
"name": "EGIO Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d1091393923613",
"index": 1,
"amount": 999999999769,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105d88be3e294180cce0380bca4e2be6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[415104787180,6,231,1657692000000,86400000]"
}
},
"spentTransactionId": "06b8861e1793e4c8c9b81f16763c4d88ad96cf8effd67e464b49ab4ef62da8fa",
"mainChain": true
},
{
"boxId": "9a6adb4d1e3ee26445744f390e31841ebf529161ac5cf82b67dc44933d45fda2",
"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 1000000,
"index": 1,
"globalIndex": 19027265,
"creationHeight": 792640,
"settlementHeight": 792648,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n4: 1\n5: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\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": "5ASYVJ2w8tH3bDMmDvjvgX76HQen4rcvoHku32GsL9js8THW6rduV5VDy8Diue6rRQfp4DRTs4P9bd4vjQY9mmE94A473YeANVps31i76HD88Xk3oeuMgWSgAPuTncfYG1hYHvyT9N7RECUYb64Hs8b2kuvUksccZ841k1vYTmhzseiAFEC59PPnfxxJ4EL9MJ6oHSfwwJBYaZHjmH5eCPkXbJZhGwnTb6bFXvCGGucjDXhmiDPSXGUU49U3r8gN2eTnbh5Dz5mh9eSudUGf7N1fWtT3asz1uruMcdYeNFptD2jFNz6MDTqajZjSEw5guvAmvZAYnfiXwRW8yQyqbd5GcwiuiaPybcGThdf5TLhYxrNeTr1eLn7d1A1RGvySo8dz9vHNrzsK4Zd8HGK4ofhE4kwepyNbYWJY9XbfKVZxqtmLTUHwheNwiJ7cQSCcQUFyMZwAKmjuXdPrVZ9AftFc5gkdqdaC82ya8oMhsbHBV68yorJbp4yyXs8qjaegUfEb4TEZ4L9NsTTsKZxfHB2GypBmssJ6gHGEongQWnca3zqSV9A55SGwbvMQrrkrnvAe9UVsK1h6XwzBj41vF2faVp7Sfp5noqJi9jZjobiCTYA344RW6dNpGS2YpxNzrZtxvyVhmyF9Tms7nSTUMpbF4L",
"assets": [
{
"tokenId": "012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d1091393923613",
"index": 0,
"amount": 1,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 231072372,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11020ce2dbdcfeba60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[6,1657184950001]"
},
"R5": {
"serializedValue": "0e2042441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e",
"sigmaType": "Coll[SByte]",
"renderedValue": "42441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e"
}
},
"spentTransactionId": "1bc4c87ca0726d8200a0ee5f1998df7948132ebe1423f26e29013ba3d15a21db",
"mainChain": true
},
{
"boxId": "55aa6bfd66ae454ff673e0587f2322034e57698fbd49abfb10be5fc4b003ad07",
"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 10000000,
"index": 2,
"globalIndex": 19027266,
"creationHeight": 792640,
"settlementHeight": 792648,
"ergoTree": "0008cd020906a43c19bcb01ab2773218725488b8e1f18f8297628fe8c971080a449fbb8a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(906a43,dc0877,...)))}",
"address": "9eb353t3akY9CMqkBN769bTHjwmRGZpryTQVVXZbgy4Ygrn4PYA",
"assets": [
{
"tokenId": "42441465e2e6b76c40b88075503d5466ba9ff74e6bb5aca36134852875dbb06e",
"index": 0,
"amount": 1,
"name": "EGIO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "279b7806f0c1716140edecffc69d200f23fcd3185a9ff26d7b24f4dae62a1743",
"mainChain": true
},
{
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"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 10000000,
"index": 3,
"globalIndex": 19027267,
"creationHeight": 792640,
"settlementHeight": 792648,
"ergoTree": "102f048084af5f04060400040205c0843d04040580897a010005000e200e4202196f6030ab1986e39012dc95ea10f034b13d90a70c0b1f86d986106ff60406040004000e20097fd281c99588269d672e1b686bf6bcdce04102e183b2242f6634d93869fc0a0404040004020100040805809bee020580897a0580897a040a05809bee02040c0580897a0100040004020400040004000e20012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d109139392361304000402010005c0843d05e0a7120580897a05c09a0c040404020100040004000e20436f8f48a3650c7be728e2a331e9a6e818c31f27163ee6e5257fcfd2d8423dc30100d80ad601c1a7d60295968302019072017e73000593b1a57301d802d602b2a5730200d603c2a7968303019683020191c17202720193c27202720393c1b2a57303009c73047eb1b5a4d901046393c2720472030593c1b2a573050073067307d603b1a4d60486028300027308d6057309d606c2a7d6079595927203730a96830301938cb2db6308b2a4730b00730c01720401730d938cb2db6308b2a4730e00730f01720401720593c5b2a4997203731000c5a77311d801d607b2a5731200968303019683020192c17207999999720173137314731593c27207720693c1b2a5731600731793c1b2a57318007319731ad608b2a4731b00d609997203731cd60a9596830201938cb2db63087208731d01720401720593c5b2a4720900c5a7d805d60ab1b5a4d9010a63d801d60cdb6308720a9591b1720c731e96830201938cb2720c731f0001732093b2e4c6720a0411732100b2e4c6720804117322007323d60bb2a5720900d60c7e720a05d60d9a73249c7325720cd60e9a73269c7327720c968304019372039a720a73289683020192c1720b99997201720d720e93c2720b720693c1b2a5720300720d93c1b2a59a7203732900720e732ad1ececec72027207720a95efecec72027207720a938cb2db6308b2a5732b00732c0001732d732e",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\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(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\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(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "22252f6c4d241c6caf99bf2206ea92a36484949497c4dd670befa201d605ff90",
"mainChain": true
},
{
"boxId": "3ac43c2f4cc21821abed148455a65600acdfc88b771ef760ae8b0459889f916f",
"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 2000000,
"index": 4,
"globalIndex": 19027268,
"creationHeight": 792640,
"settlementHeight": 792648,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "53962899591e1ffd9360bd98d1c7df9ac09daa0b0cccc0e0fdb2394b4c254128",
"mainChain": true
},
{
"boxId": "7aff13cb4bf6f67fa22b74544f4786123cdc7c865749456a0e393f78096b8ecc",
"transactionId": "7444a85de19d72cd4aedd4e6aedaed9e5ede1df7e59528cfe5b723d9fb4a5611",
"blockId": "381e4879544e2d6f8f4ff454e499fd2d711e1c5efaf66114ee163c320f25f80b",
"value": 2000000,
"index": 5,
"globalIndex": 19027269,
"creationHeight": 792640,
"settlementHeight": 792648,
"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": "762af34e8b0245d529898ceb4548105d1f790899b834d8ae687b1849294da139",
"mainChain": true
}
],
"size": 3221,
"isUnconfirmed": false
}