Transaction
ID: ad3919e333...765d
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
157.67 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
808,895.32
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:
0.25 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
157.42 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 978,359
Total coins transferred: 157.69 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000324 ERG
Raw Transaction Data
{
"id": "ad3919e3337d406d5d75d5df41be91eefa3a8cb4c2ecf6b7205c59321d8b765d",
"blockId": "7471a7edf4e8498b7c9c680f258532b8e3d72d33179a75497c754ce84ea3e83f",
"inclusionHeight": 778441,
"timestamp": 1656035921871,
"index": 15,
"globalIndex": 3422935,
"numConfirmations": 978359,
"inputs": [
{
"boxId": "a60f7665b8d457e0427854b6437807fcb41a3bfc2f5294a466fb6d61de69f938",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c6fd186aaeedb834aa747e94716b1696313cf85b154119cdbfc389563ba711c6",
"outputTransactionId": "8c2ff8e9544c93595e6386e33c48c789a682570e58401c914d7a616df5d3eee7",
"outputIndex": 0,
"outputGlobalIndex": 18297812,
"outputCreatedAt": 778436,
"outputSettledAt": 778438,
"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": 999999970,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110580bfe3c7aa01003c80ecddc4b26080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[22892277696,0,30,1656050400000,86400000]"
}
}
},
{
"boxId": "512c857ba5b0e2424aca81285999d05ead3e424e481e94c09f9e6bcfde66684f",
"value": 10000000,
"index": 1,
"spendingProof": "a82865ba83a658d99204602eb43b3aeb5b5a1be23d9e6fda8ad6022954bcdef02b506cb35a28a2c27cbb03abfb5091a9722efdf4945217b7",
"outputBlockId": "f8567a6a767e9a96ce2dd6b11b0c26b6216a3c2827987b73706d57e86c5d1fed",
"outputTransactionId": "32c0a0236b7e34dbd4d01ec39044a74a3d6eeb73ad8eae89e7c94aeca35f2ea5",
"outputIndex": 2,
"outputGlobalIndex": 17535695,
"outputCreatedAt": 765775,
"outputSettledAt": 765777,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "e9109829f8fdc5ad99e1287b186bef85262869c57c15deafb2fc8bd012b2b7a5",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "d3f23d2d5dc0ef3f3d7f4a590c8c7bccb5d0126e6804dd51f44f68e5dd50d68f",
"value": 3000000,
"index": 2,
"spendingProof": "0822efacfdc47a98446d2d2dcb9a344c9c92547959d3e324768dc8f9c379de7f647616b544f803c384026c5ac4d405181611f12056d74968",
"outputBlockId": "e3881688bc2c442fcbae213930af5b431304e6cb0c82b043d46a57d1ece6451a",
"outputTransactionId": "e675ed414822548be0a70e3c122430e42c6e1f797e770342c2e75eb68301b773",
"outputIndex": 3,
"outputGlobalIndex": 17653356,
"outputCreatedAt": 767854,
"outputSettledAt": 767856,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "f2e98ed647ff0d26d7fb8cef294f15b583f309ef66ef8421bf347caecc6ef555",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "8d69c985ff83481174af33718e85b09da72e37587b429019da29044a561ee87b",
"value": 3000000,
"index": 3,
"spendingProof": "ffecb926448c235613f5cb3c9410437d397ebd770b0db3b9eed58b98384376e6558db9f4ac4a82b91be2feab208f8bc5a3021d74174f11dc",
"outputBlockId": "efd1bae9a9bf91282d9ac7eca521b2043ae4da1bea05a1cd72e24f97671837dc",
"outputTransactionId": "82884fc9d701ebd3522c4e55bffe817d6aab0753a8abca2714046bd8cfbbc698",
"outputIndex": 2,
"outputGlobalIndex": 17696680,
"outputCreatedAt": 768758,
"outputSettledAt": 768761,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "028448bf9ac3c3e8d8e806fb8416f3bc69a4860a29747b8e0626238227e51c64",
"index": 0,
"amount": 1,
"name": "Gnomekin #1254 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c810254962dcf59b408a9a89a2ca347e45a6b5d6619157095e4f166b7eec929e",
"value": 157669440000,
"index": 4,
"spendingProof": "8883fd813501cd40ef19fa59f3d1ce4055a71cda0c28627a01d9084107cbbcd7e409c493043da495f7c2fcd082cbb87effb8a918b9e46ba9",
"outputBlockId": "dc7b30b7f8b176a716245cf2620f03fc4cb89efdbb8084db811471dc1630fb0b",
"outputTransactionId": "d6e808977270f7f7904dd4e201887b078951fd0e81d996650a40148a68026250",
"outputIndex": 3,
"outputGlobalIndex": 17767430,
"outputCreatedAt": 770140,
"outputSettledAt": 770143,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "7c0e78eb5f4fdbe409356f2dc106b89578b3f4465feb8460860d774381a6a870",
"index": 0,
"amount": 1,
"name": "Paideia Seed Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "3b95b0f43b035afa48608e433837306ac5cd633eff760ba77bd0290939d72c17",
"value": 1000000,
"index": 5,
"spendingProof": "eb2cb0442b6d7f7bef2f3e0f14f7c75b55c6902ccfe260d7a54d11b6809f74c1e6b8c4bfce278ed5453b2ae15f254fba6429097d5da5aa96",
"outputBlockId": "bfa01d655b0abbd242c008062c774d49e4569e17c98a5b76e2ec447042b8eb9b",
"outputTransactionId": "1f2326bcaa5e9fa82c85581b35c1cc29c7cc155770d6c50b2d998ee64cbbbe49",
"outputIndex": 0,
"outputGlobalIndex": 18298187,
"outputCreatedAt": 778437,
"outputSettledAt": 778439,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 0,
"amount": 8088953226,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "4f869439d067383606e1362e378f3b5f9fd20ba1979316c09af5be110449c55c",
"transactionId": "ad3919e3337d406d5d75d5df41be91eefa3a8cb4c2ecf6b7205c59321d8b765d",
"blockId": "7471a7edf4e8498b7c9c680f258532b8e3d72d33179a75497c754ce84ea3e83f",
"value": 1000000,
"index": 0,
"globalIndex": 18298266,
"creationHeight": 778439,
"settlementHeight": 778441,
"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": 999999969,
"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110594c580eae601003e80ecddc4b26080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[30981230922,0,31,1656050400000,86400000]"
}
},
"spentTransactionId": "3b68f3f1c06a0e6481810b2788470d962f1ea7b0f8fd39cafe06af2b857e2ccf",
"mainChain": true
},
{
"boxId": "c634b5ced49f72c591afb463aa9a5c819c53fe4d66974ab4fb700db4e4a56382",
"transactionId": "ad3919e3337d406d5d75d5df41be91eefa3a8cb4c2ecf6b7205c59321d8b765d",
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{
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"index": 0,
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"name": "EGIO Stake Token",
"decimals": 0,
"type": "EIP-004"
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{
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"index": 1,
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"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110200b8eaedb6b260",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1656035850908]"
},
"R5": {
"serializedValue": "0e20a60f7665b8d457e0427854b6437807fcb41a3bfc2f5294a466fb6d61de69f938",
"sigmaType": "Coll[SByte]",
"renderedValue": "a60f7665b8d457e0427854b6437807fcb41a3bfc2f5294a466fb6d61de69f938"
}
},
"spentTransactionId": "c6f61ce780918a107820c23fb8a4bb067bb5496194899bd7bb784d467c58175e",
"mainChain": true
},
{
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"index": 2,
"globalIndex": 18298268,
"creationHeight": 778439,
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"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
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"index": 0,
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"name": "EGIO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4547494f205374616b65204b6579"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a203830383839352e333232362c20227374616b6554696d65223a2022323032322d30362d32342030313a35373a33312e363530333630227d"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
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{
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"index": 3,
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"creationHeight": 778439,
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"ergoTree": "0008cd027c4f8d2035500bfa5107b3bd9db93f4262d0ecea16043e609c60fdf77937de17",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7c4f8d,597337,...)))}",
"address": "9fTosCDJnwEcYnyLbnuiNAqaDDkA36jkqVpGu4iJth3z2vkEyFg",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7e2cc0082ef341f9aed466b5e6567ca83aa57b394fa0f70da0ceb82aa4e67365",
"mainChain": true
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{
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"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",
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"spentTransactionId": "4054d976222681d1e8a12be172f1d09b058b49a181f3867d29a9a91efaac38d7",
"mainChain": true
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{
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"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
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"name": "Paideia Seed Round Vesting Key",
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"type": "EIP-004"
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{
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"name": "Gnomekin #1254 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
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{
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"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
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}