Transaction
ID: 9178f62f9e...90ef
Inputs (4)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.996 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 978,277
Total coins transferred: 1 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000281 ERG
Raw Transaction Data
{
"id": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"inclusionHeight": 779151,
"timestamp": 1656137237570,
"index": 11,
"globalIndex": 3429755,
"numConfirmations": 978277,
"inputs": [
{
"boxId": "fbbd35fbd498aaa9916dfadd1c4ea05ca2695bdfab2f8457607d12ff73da391c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e6588bf1d1d78a4054241330159cd5b8d0bf05a00e5abae0a59cedc4557e8440",
"outputTransactionId": "145cc47e8f146569a5515554841701fcd6a1580954622c6ad9c309f7a6e3696a",
"outputIndex": 0,
"outputGlobalIndex": 18338865,
"outputCreatedAt": 779133,
"outputSettledAt": 779136,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 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)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-125,-99,-99,98,-20,-69,127,-52,-53,-107,-78,-28,5,-24,-39,-73,-99,-74,74,-70,30,72,67,-69,-78,-47,-22,3,45,-72,38,-98)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(7,-88,100,-115,13,-32,-9,-56,122,-83,65,-95,-5,-58,-45,-109,-90,-83,-107,88,77,56,-60,124,-120,18,91,-17,16,28,41,-23)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(-88,-42,51,-34,-25,5,-1,-112,-29,24,16,19,56,20,85,53,61,-84,45,-111,54,105,82,32,-102,-58,-77,-7,-51,-52,35,-23)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val l38 = coll32(placeholder[Int](75))\n val l39 = coll11(placeholder[Int](76))\n val tuple40 = coll24(placeholder[Int](77))\n val l41 = tuple40._2 - l35\n val bool42 = l41 == placeholder[Long](78)\n val coll43 = tuple40._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n placeholder[Long](84)\n } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n placeholder[Long](88)\n } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n 90\n )) {(\n val box44 = OUTPUTS(placeholder[Int](91))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](92))\n val tuple47 = coll45(placeholder[Int](93))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n Long\n ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f419099a27aaa5f6f7d109d8773b1862e8d1857b44aa7d86395940d41eb53806",
"index": 0,
"amount": 1,
"name": "EGIO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1431964fa6559e969a7bf047405d3f63f7592354d432556f79894a12c4286e81",
"index": 1,
"amount": 999999846,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110590bda8cfcd0d00b40280ecddc4b26080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[233756233544,0,154,1656050400000,86400000]"
}
}
},
{
"boxId": "f0df0cab894fb07ddd18f3d1b3e785461b37e2f22314ffb62cd63d21344eabee",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "21774552454cb98ff9d9c47cbdaf74b1467b93629a386a6710d887aa607bb912",
"outputTransactionId": "2e91c466b342eeab1a6df019362827209a1601e7b32bf8fdeaf4d83ba2f04635",
"outputIndex": 2,
"outputGlobalIndex": 18272450,
"outputCreatedAt": 778067,
"outputSettledAt": 778069,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-12,25,9,-102,39,-86,-91,-10,-9,-47,9,-40,119,59,24,98,-24,-47,-123,123,68,-86,125,-122,57,89,64,-44,30,-75,56,6)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtapD8Yq47WGDokreV3WNhC95bdoSZ2pdcm1KQjhx1fnHkz2aFD5zRCagqJ8vdB2VRXFkcF7atLujFjrPdMZLQDWbboeFaaWYFZoRh5vabnZrskMNhKi6dKDbk8Ftvus4r4HcrqQA92kbr4sD6pii36CuW6ZcDsTwYeJFCiPhjWoc6jcup9G5cE6yhjqSYeTdd4VeU1nD5PMu66m9RAyFkb3Qf597zKRoBJdwpz7SRsQ15rUnJGcHBm3TDWxcArxs7UYYJ6nvWQ8RY7n5P1SxdWjueMG5AGmEpKuMqTNox3kjsp8WpVFA9RjnNne6VaHtbcraNzRyWubpRPc7ZaaRZPFjjkyECns1RhMKsiuC24b1NB5XgoWxijJ2KbENCM5yzwh9pY1yctRfxiLCwUqivTng58h",
"assets": [
{
"tokenId": "07a8648d0de0f7c87aad41a1fbc6d393a6ad95584d38c47c88125bef101c29e9",
"index": 0,
"amount": 1,
"name": "EGIO Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 145000000000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110180a7dbf505",
"sigmaType": "Coll[SLong]",
"renderedValue": "[794520000]"
}
}
},
{
"boxId": "00e6c2f7c870ab3e47ab97c7c434d6f36ecdc584b17e9b751dbdfa5c18547606",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "21774552454cb98ff9d9c47cbdaf74b1467b93629a386a6710d887aa607bb912",
"outputTransactionId": "2e91c466b342eeab1a6df019362827209a1601e7b32bf8fdeaf4d83ba2f04635",
"outputIndex": 1,
"outputGlobalIndex": 18272449,
"outputCreatedAt": 778067,
"outputSettledAt": 778069,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: 0\n3: Coll(-12,25,9,-102,39,-86,-91,-10,-9,-47,9,-40,119,59,24,98,-24,-47,-123,123,68,-86,125,-122,57,89,64,-44,30,-75,56,6)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(20,49,-106,79,-90,85,-98,-106,-102,123,-16,71,64,93,63,99,-9,89,35,84,-44,50,85,111,121,-119,74,18,-60,40,110,-127)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "xhRNa2Wo12havPoMXxBcJ5YJNfwq7qJNA5UW8rkj4p8yU2mitzB1vjfjt3NLZWvEXpmri8D6viwahHRv1BqS6NHQYeGZFxUkQM3RVTHLkCTD56N8qQdt5a5QUAtftPLhfjxEsLP3rD6nh4DvTfQspHfsEZLzNGFWo1nvozXZiyqCryPZreW1oxqaW2Jsn2b7sqRjZguZdKBRpcyN1Xch67xmkWwGPnvKtyDjKkc2m2iD9mix2Jo771vXQGUphDjF16cM5jKXzjhzjc2gKo5LZGt8RT8ei8RhTSa6rRvfkffszgSUsyCfcogmbhjjP9LKYKE6yBkJtThQvf8Wp3eRLCGiyFFEWLY9FumwgoXGEhc43ZLHY9TTJuYZ6tkoYvZ42HkWxRemFydegGUnmLxUGQ5Pu4dVYxGH5qN4AArLpoqXUSuBNpPM54c2UkPDLxzcrrjgB1XbWG7YbrxXx5QrazHi2xvPVa37doB42xKQ1M8fJQszQdihMAPoBsunu6Vo7mFK2Cm7fPisMzb4MicWZFJ5eSUiYgU8PLheaNErHHE3JND9XPJ4n68uepq4NAbpq268S4aoPYKxwMjDNjdifgroBTBcjRDmidB3vzDcejC8h4ZJrCPD2voyDeWSpJQS1CSmPpzyaxvazFy1vsiEd8cPHvQZgC7Zg5Yx6TRYkPEGN917aAKtJApioCz8Cj2YKiVXfLrQqH8FPrCGmUhaqf54jBCFojdLXy8CvTR3HbnvY5ZPcx344zdN941n1ot2aK1GLskq6gaTNNa4WQYaGFvMd6UqFQuEknp1JY8VAwJHE6Tquf1VgTHnyYy1C5tbiCKEzrtK2ZqkHJtqcbw9VrhQBNc6wF5Zir3PWPp1zz94L5YA27JC9n7ngvaGXGhCx4HJZuDpjYDK7sp4FeNPJE6H3MS1UQhwGnUfzQnWR49LV5xyCnm2RQCazYQStFfyoYWtVujCB9wCrb",
"assets": [
{
"tokenId": "a8d633dee705ff90e3181013381455353dac2d91366952209ac6b3f9cdcc23e9",
"index": 0,
"amount": 1,
"name": "EGIO Emission",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110400010080a7dbf505",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,-1,0,794520000]"
}
}
},
{
"boxId": "9ec7d6fb05f3a8f27c4a56664ef32375377ba0f3a429f4f178b7da76959822eb",
"value": 1000000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "350da99593cbf5babebde6937359547af49dec4b9340ae50f2134e174d408e07",
"outputTransactionId": "0b87afe9e241763efe689d077f53061dd8aa4b01c08fb0bc9179ed0cec2cec9d",
"outputIndex": 0,
"outputGlobalIndex": 18327076,
"outputCreatedAt": 778895,
"outputSettledAt": 778904,
"ergoTree": "101e04000e20f034b383405ca7fa6cde62e541476b680ea6834bd55092a059b1747a121975a30e20dfb72a48be6e2eb1833114a65f7df73f86d1e34389045bd3f25167c187df0f280404040604020580a4e803040805809bee020402040004000e201431964fa6559e969a7bf047405d3f63f7592354d432556f79894a12c4286e8104000402010004c0ee6d04e0c65b0480897a04c0843d0402040404060400058084af5f040204c0843d04040580897a0100d803d601b2a4730000d602cbc27201d603730195ed937202730293cbc2b2a47303007203d801d604b2a5730400d19683040193c5b2a499b1a4730500c5a793c27204c2a792c1720499c1a7730693c1b2a57307007308959372027203d806d604b1a4d6059972047309d606b2a5720500d607b1b5a4d9010763d801d609db630872079591b17209730aed938cb27209730b0001730c93b2e4c672070411730d00b2e4c672010411730e00730fd6089a73109c73117207d6099a73129c73137207d19683060193c5b2a4720500c5a793c27206c2a792c1720699c1a77e72080593c1b2a57204007e99720872090593c1b2a59a72047314007e7209059372049a720773159593b1a57316d803d604b2a5731700d605c2a7d606c1a7d19683050193c27204720591c172047206907206731893c1b2a57319007e9c731ab1b5a4d901076393c2720772050593c1b2a5731b00731cd1731d",
"ergoTreeConstants": "0: 0\n1: Coll(-16,52,-77,-125,64,92,-89,-6,108,-34,98,-27,65,71,107,104,14,-90,-125,75,-43,80,-110,-96,89,-79,116,122,18,25,117,-93)\n2: Coll(-33,-73,42,72,-66,110,46,-79,-125,49,20,-90,95,125,-9,63,-122,-47,-29,67,-119,4,91,-45,-14,81,103,-63,-121,-33,15,40)\n3: 2\n4: 3\n5: 1\n6: 4000000\n7: 4\n8: 3000000\n9: 1\n10: 0\n11: 0\n12: Coll(20,49,-106,79,-90,85,-98,-106,-102,123,-16,71,64,93,63,99,-9,89,35,84,-44,50,85,111,121,-119,74,18,-60,40,110,-127)\n13: 0\n14: 1\n15: false\n16: 900000\n17: 750000\n18: 1000000\n19: 500000\n20: 1\n21: 2\n22: 3\n23: 0\n24: 100000000\n25: 1\n26: 500000\n27: 2\n28: 1000000\n29: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = blake2b256(box1.propositionBytes)\n val coll3 = placeholder[Coll[Byte]](1)\n if ((coll2 == placeholder[Coll[Byte]](2)) && (blake2b256(INPUTS(placeholder[Int](3)).propositionBytes) == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](5)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 6\n ), OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](9)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](10)) { (coll9(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box7.R4[Coll[Long]].get(placeholder[Int](13)) == box1.R4[Coll[Long]].get(placeholder[Int](14))) } else { placeholder[Boolean](15) }\n }).size\n val i8 = placeholder[Int](16) + placeholder[Int](17) * i7\n val i9 = placeholder[Int](18) + placeholder[Int](19) * i7\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - i8.toLong, OUTPUTS(i4).value == i8 - i9.toLong, OUTPUTS(i4 + placeholder[Int](20)).value == i9.toLong, i4 == i7 + placeholder[Int](21))))\n )} else { if (OUTPUTS.size == placeholder[Int](22)) {(\n val box4 = OUTPUTS(placeholder[Int](23))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Int](26) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28))))\n )} else { sigmaProp(placeholder[Boolean](29)) } } }\n}",
"address": "ciYus5z3jDdrhizHzWv1tojM5QWojGLU6tfk986BVUmi1RGvvyBrQG1hcKnLohHYnUbjUVthLf9ZWNvWL3b3kQFJprmLjKTBQkuXuoHrMvWwZ7ee7249d8t2eFUC8hBys5aU9Zr4B7RrqWjVXN3bbDFccjVxZAVTETykNhwYWWBpGrCTEGfM7p3ArnQrb4ZzaSevavqbvFD6TYiEWRRwD3zwp3xyhet6dMg9LmoKpWHxRYzS5BYB8rXak17fqzw1jd7mCXepoFdnWXvzPXXuhZiXKpUuqT86tDmFunNLMVFbDYiHBBK78omJ3SATJYF78EQ1g8TQN1B7PKRfF1PsC93kwdDZPqcL3vntnExycVoN3tS7SGsQL2eKm3Yi5qoJ3sAwTV9Hcba9WfFgjBaWXvtLVPEBxTWPkMyr9shSHkWreZrzYrqDzt6t85Edig9Quw9TtVhoNLYnLxegMgRRnT5YKLAkT5BXbjGUpv4tkrdwVtBXSawjzknBefhzb9pBo6LK3C96h9QrBPpeC3a1FT2qcTv9A3fZw945mgjDWCHGVYw5dJTTftg1f8maRsXtfWbxzym8XTv342RkHtrSkqTCg7iVVzPCN893eFkzjrgV8vBKRWBabcFZGCdZ5nsHmnZgc8rcSYmub7j8PUYYYfxdvyArH9yffZz79AbEh3JbGZk3UsHpi1sqXbPznaPzLP6AqV3zRz8Y",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "00d7274fda57006440391c264a2c0b658eb327bfe3cefe342320f61723fcf454",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 1000000,
"index": 0,
"globalIndex": 18339386,
"creationHeight": 779149,
"settlementHeight": 779151,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 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)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-125,-99,-99,98,-20,-69,127,-52,-53,-107,-78,-28,5,-24,-39,-73,-99,-74,74,-70,30,72,67,-69,-78,-47,-22,3,45,-72,38,-98)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(7,-88,100,-115,13,-32,-9,-56,122,-83,65,-95,-5,-58,-45,-109,-90,-83,-107,88,77,56,-60,124,-120,18,91,-17,16,28,41,-23)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(-88,-42,51,-34,-25,5,-1,-112,-29,24,16,19,56,20,85,53,61,-84,45,-111,54,105,82,32,-102,-58,-77,-7,-51,-52,35,-23)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val l38 = coll32(placeholder[Int](75))\n val l39 = coll11(placeholder[Int](76))\n val tuple40 = coll24(placeholder[Int](77))\n val l41 = tuple40._2 - l35\n val bool42 = l41 == placeholder[Long](78)\n val coll43 = tuple40._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n placeholder[Long](84)\n } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n placeholder[Long](88)\n } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n 90\n )) {(\n val box44 = OUTPUTS(placeholder[Int](91))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](92))\n val tuple47 = coll45(placeholder[Int](93))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n Long\n ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f419099a27aaa5f6f7d109d8773b1862e8d1857b44aa7d86395940d41eb53806",
"index": 0,
"amount": 1,
"name": "EGIO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1431964fa6559e969a7bf047405d3f63f7592354d432556f79894a12c4286e81",
"index": 1,
"amount": 999999846,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110590e483c5d30d02b40280dc9097b36080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[234550753544,1,154,1656136800000,86400000]"
}
},
"spentTransactionId": "a4d09a4454dbb3d8f3e7f22d723634fa7619ccdb713607f83cd65ab4d3602116",
"mainChain": true
},
{
"boxId": "b77e82d24795bea77a767cb0bfe1bb8b51f51f47b80087329e5a6430e31bbbf6",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 1000000,
"index": 1,
"globalIndex": 18339387,
"creationHeight": 779149,
"settlementHeight": 779151,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-12,25,9,-102,39,-86,-91,-10,-9,-47,9,-40,119,59,24,98,-24,-47,-123,123,68,-86,125,-122,57,89,64,-44,30,-75,56,6)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtapD8Yq47WGDokreV3WNhC95bdoSZ2pdcm1KQjhx1fnHkz2aFD5zRCagqJ8vdB2VRXFkcF7atLujFjrPdMZLQDWbboeFaaWYFZoRh5vabnZrskMNhKi6dKDbk8Ftvus4r4HcrqQA92kbr4sD6pii36CuW6ZcDsTwYeJFCiPhjWoc6jcup9G5cE6yhjqSYeTdd4VeU1nD5PMu66m9RAyFkb3Qf597zKRoBJdwpz7SRsQ15rUnJGcHBm3TDWxcArxs7UYYJ6nvWQ8RY7n5P1SxdWjueMG5AGmEpKuMqTNox3kjsp8WpVFA9RjnNne6VaHtbcraNzRyWubpRPc7ZaaRZPFjjkyECns1RhMKsiuC24b1NB5XgoWxijJ2KbENCM5yzwh9pY1yctRfxiLCwUqivTng58h",
"assets": [
{
"tokenId": "07a8648d0de0f7c87aad41a1fbc6d393a6ad95584d38c47c88125bef101c29e9",
"index": 0,
"amount": 1,
"name": "EGIO Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 144205480000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110180a7dbf505",
"sigmaType": "Coll[SLong]",
"renderedValue": "[794520000]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "c910739f1cc0b6e003c7bd13b9d7c362f5e9de39740b96d07a1b47d3aee4ccff",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 1000000,
"index": 2,
"globalIndex": 18339388,
"creationHeight": 779149,
"settlementHeight": 779151,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: 0\n3: Coll(-12,25,9,-102,39,-86,-91,-10,-9,-47,9,-40,119,59,24,98,-24,-47,-123,123,68,-86,125,-122,57,89,64,-44,30,-75,56,6)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(20,49,-106,79,-90,85,-98,-106,-102,123,-16,71,64,93,63,99,-9,89,35,84,-44,50,85,111,121,-119,74,18,-60,40,110,-127)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "a8d633dee705ff90e3181013381455353dac2d91366952209ac6b3f9cdcc23e9",
"index": 0,
"amount": 1,
"name": "EGIO Emission",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 1,
"amount": 794520000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110490bda8cfcd0d00b40280a7dbf505",
"sigmaType": "Coll[SLong]",
"renderedValue": "[233756233544,0,154,794520000]"
}
},
"spentTransactionId": "a7b77ed818850b0cd12bd96e72e2670eaa3458b2c4e0d99db71526deafb93323",
"mainChain": true
},
{
"boxId": "e87767e98fb8921b6c887164dbcef933e988b3dbb8ac3f1fe1723f1b9e98bae4",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 996000000,
"index": 3,
"globalIndex": 18339389,
"creationHeight": 779149,
"settlementHeight": 779151,
"ergoTree": "101e04000e20f034b383405ca7fa6cde62e541476b680ea6834bd55092a059b1747a121975a30e20dfb72a48be6e2eb1833114a65f7df73f86d1e34389045bd3f25167c187df0f280404040604020580a4e803040805809bee020402040004000e201431964fa6559e969a7bf047405d3f63f7592354d432556f79894a12c4286e8104000402010004c0ee6d04e0c65b0480897a04c0843d0402040404060400058084af5f040204c0843d04040580897a0100d803d601b2a4730000d602cbc27201d603730195ed937202730293cbc2b2a47303007203d801d604b2a5730400d19683040193c5b2a499b1a4730500c5a793c27204c2a792c1720499c1a7730693c1b2a57307007308959372027203d806d604b1a4d6059972047309d606b2a5720500d607b1b5a4d9010763d801d609db630872079591b17209730aed938cb27209730b0001730c93b2e4c672070411730d00b2e4c672010411730e00730fd6089a73109c73117207d6099a73129c73137207d19683060193c5b2a4720500c5a793c27206c2a792c1720699c1a77e72080593c1b2a57204007e99720872090593c1b2a59a72047314007e7209059372049a720773159593b1a57316d803d604b2a5731700d605c2a7d606c1a7d19683050193c27204720591c172047206907206731893c1b2a57319007e9c731ab1b5a4d901076393c2720772050593c1b2a5731b00731cd1731d",
"ergoTreeConstants": "0: 0\n1: Coll(-16,52,-77,-125,64,92,-89,-6,108,-34,98,-27,65,71,107,104,14,-90,-125,75,-43,80,-110,-96,89,-79,116,122,18,25,117,-93)\n2: Coll(-33,-73,42,72,-66,110,46,-79,-125,49,20,-90,95,125,-9,63,-122,-47,-29,67,-119,4,91,-45,-14,81,103,-63,-121,-33,15,40)\n3: 2\n4: 3\n5: 1\n6: 4000000\n7: 4\n8: 3000000\n9: 1\n10: 0\n11: 0\n12: Coll(20,49,-106,79,-90,85,-98,-106,-102,123,-16,71,64,93,63,99,-9,89,35,84,-44,50,85,111,121,-119,74,18,-60,40,110,-127)\n13: 0\n14: 1\n15: false\n16: 900000\n17: 750000\n18: 1000000\n19: 500000\n20: 1\n21: 2\n22: 3\n23: 0\n24: 100000000\n25: 1\n26: 500000\n27: 2\n28: 1000000\n29: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = blake2b256(box1.propositionBytes)\n val coll3 = placeholder[Coll[Byte]](1)\n if ((coll2 == placeholder[Coll[Byte]](2)) && (blake2b256(INPUTS(placeholder[Int](3)).propositionBytes) == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](5)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 6\n ), OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](9)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](10)) { (coll9(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box7.R4[Coll[Long]].get(placeholder[Int](13)) == box1.R4[Coll[Long]].get(placeholder[Int](14))) } else { placeholder[Boolean](15) }\n }).size\n val i8 = placeholder[Int](16) + placeholder[Int](17) * i7\n val i9 = placeholder[Int](18) + placeholder[Int](19) * i7\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - i8.toLong, OUTPUTS(i4).value == i8 - i9.toLong, OUTPUTS(i4 + placeholder[Int](20)).value == i9.toLong, i4 == i7 + placeholder[Int](21))))\n )} else { if (OUTPUTS.size == placeholder[Int](22)) {(\n val box4 = OUTPUTS(placeholder[Int](23))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Int](26) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28))))\n )} else { sigmaProp(placeholder[Boolean](29)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a7b77ed818850b0cd12bd96e72e2670eaa3458b2c4e0d99db71526deafb93323",
"mainChain": true
},
{
"boxId": "c24373cf4cb355fbddc693545523dfa7413656144c3cd088ba02d8c93813f69f",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 3000000,
"index": 4,
"globalIndex": 18339390,
"creationHeight": 779149,
"settlementHeight": 779151,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "93577671cc17087ebc85863e75cf64063a9a49962c0db07f2e6f45fee5e0445f",
"mainChain": true
},
{
"boxId": "25b9d7bf11dc14a4b550b764c67f49f1ce6b297fa30302923ba33860a38afd23",
"transactionId": "9178f62f9e0ace8d0f10dc41d82fa05504830446c6bcee293d674dbf8b5090ef",
"blockId": "2f93f744c46296505f830b7aca4c29e76b3fc3e29606b615a6df8728967dfd3a",
"value": 1000000,
"index": 5,
"globalIndex": 18339391,
"creationHeight": 779149,
"settlementHeight": 779151,
"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": "066d5d3aa7dcd1126b6d6a4ea6d89ef61639adfba10ff3fe7ea81f26b7e37c89",
"mainChain": true
}
],
"size": 3556,
"isUnconfirmed": false
}