Transaction
ID: 5a5810fe3d...fc75
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.101 ERG
Tokens:
100,000
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
100,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 389,111
Total coins transferred: 0.101 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000029 ERG
Raw Transaction Data
{
"id": "5a5810fe3d306a038e763f7e139174ff60e5a41eae18e74f459e709ddfc1fc75",
"blockId": "9ffb33d9e785b8c7cbcff7c695b182899221427f01d8f500454b8572713653f7",
"inclusionHeight": 1380536,
"timestamp": 1729775730138,
"index": 2,
"globalIndex": 7948182,
"numConfirmations": 389111,
"inputs": [
{
"boxId": "4b3176fc7f883ca0a7ee0baec0d306b7ebc8a5bd02fe143fa1a17f3bf1e7483a",
"value": 101000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"outputTransactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"outputIndex": 2,
"outputGlobalIndex": 43412754,
"outputCreatedAt": 1380519,
"outputSettledAt": 1380522,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(opt1: Option[Coll[Byte]]) => opt1.get.slice(1, 33) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = {(box3: Box) => box3.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n -57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte\n ), Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n ), Coll[Byte](\n -2.toByte, 33.toByte, -71.toByte, 115.toByte, -52.toByte, -76.toByte, -39.toByte, 31.toByte, 40.toByte, -117.toByte, 28.toByte, 91.toByte, 58.toByte, 79.toByte, 109.toByte, -98.toByte, 12.toByte, 82.toByte, -10.toByte, -79.toByte, 99.toByte, -61.toByte, -121.toByte, -94.toByte, 55.toByte, 14.toByte, -76.toByte, -7.toByte, -76.toByte, 0.toByte, 26.toByte, 62.toByte\n ), Coll[Byte](\n -72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val coll4 = func1(coll3(0))\n val coll5 = func1(coll3(1))\n val box6 = OUTPUTS.filter({(box6: Box) =>\n val coll8 = blake2b256(box6.propositionBytes)\n (coll8 != coll4) && (coll8 != coll5)\n })(0)\n val func7 = {(coll7: Coll[Box]) =>\n coll7.flatMap({(box9: Box) => box9.tokens }).fold(0L, {(tuple9: (Long, (Coll[Byte], Long))) => tuple9._1 + tuple9._2._2 })\n }\n val box8 = {(tuple8: (Coll[Box], Coll[Byte])) => tuple8._1.filter({(box10: Box) => blake2b256(box10.propositionBytes) == tuple8._2 }) }((OUTPUTS, coll4))(0)\n val l9 = box8.value\n val b10 = coll3(2).get(1)\n val coll11 = placeholder[Coll[Byte]](1)\n val func12 = {(tuple12: (Coll[Box], Coll[Byte])) => tuple12._1.flatMap({(box14: Box) => box14.tokens }).fold(0L, {(tuple14: (Long, (Coll[Byte], Long))) =>\n val tuple16 = tuple14._2\n tuple14._1 + if (tuple16._1 == tuple12._2) { tuple16._2 } else { 0L }\n }) }\n sigmaProp(\n allOf(Coll[Boolean](box6.value <= 5000000L, box6.tokens.size == 0, func7(INPUTS) == func7(OUTPUTS), l9 >= 1000000L)) && if (b10.toInt <= 0) {\n OUTPUTS.size == 2\n } else {(\n val box13 = func2((OUTPUTS, coll11))(0)\n val box14 = func2((INPUTS, coll11))(0)\n val l15 = box13.value - box14.value\n val l16 = b10.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == 4, blake2b256(box13.propositionBytes) == coll5, l15 + l9 - 1000000L * l16 / 100L == l15, Coll[Coll[Byte]](\n {(opt17: Option[Coll[Byte]]) => opt17.get.slice(6, 38) }(coll3(3))\n ).forall({(coll17: Coll[Byte]) =>\n val l19 = func12((Coll[Box](box13), coll17)) - func12((Coll[Box](box14), coll17))\n l19 + func12((Coll[Box](box8), coll17)) * l16 / 100L == l19\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 1000000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "b297fbbe89628e4b6328755bf44c7c5f6d8d81f20eb64fe77abaebd49e807774",
"value": 1000000000,
"index": 0,
"outputBlockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"outputTransactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"outputIndex": 2,
"ergoTree": "10010e20000653ab0e7fb89bfa221d75bd25aed8b98e0bac66a13aa229caf5855128d33ad808d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d602d9010263e4c672020464d60383200202a90255028e0241028602cb02d502aa0257022302a8025202d402c102dc0265027d029e02810243028202ff0288028d025a028a02ec0252021502310230021dd604e3010ed605d9010532b4e4720504020442d606e4e30002d607dc0c1aa402a70400d608d9010805958f72080580020402958f7208058080020404958f720805808080020406958f72080580808080020408958f720805808080808002040a958f72080580808080808002040c958f7208058080808080808002040e958f72080580808080808080800204100412d197830201dad9010902959372090208d802d60bb2da7201018602a5dad9010b638cb2db6308720b0400000101a7040000d60cdc640bda720201720b0283020e7203cbb3831c020269026d022e0270026102690264026502690261022e0263026f026e027402720261026302740273022e0261026302740269026f026e022ec2b2da7201018602a47300040000e472049683040193db6308a7db6308720b90c1a7c1720b93cbc2720bda720501b2720c040000e6b2720c0402000100017206ed9372060207dad901093c0e6395927207b1a50100d809d60bb2a5720700d60cc1720bd60dc1a7d60ec2720bd60fc4a7d610c2a7d6118cc7a701d612c4720bd6138cc7720b019683040192720c99720d058092f40193cb720eda720501b2dc640bda7202018c7209020283010e8c720901e5720483000204000093b4720f9a9ada720801720db17210da7208017e721105b1720fb472129a9ada720801720cb1720eda7208017e721305b17212978302019299721372110480c33d947210720e0186027203a7",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "641375a5d0ed0e759d91187d3743d18db0c8298099cefabeb65d23a199de933bea07072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "6e203df380b33c5174423b646f14fced51807ba32dd16f3b76bbbcd574c29485",
"transactionId": "5a5810fe3d306a038e763f7e139174ff60e5a41eae18e74f459e709ddfc1fc75",
"blockId": "9ffb33d9e785b8c7cbcff7c695b182899221427f01d8f500454b8572713653f7",
"value": 100000000,
"index": 0,
"globalIndex": 43413111,
"creationHeight": 1380534,
"settlementHeight": 1380536,
"ergoTree": "10040e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e201fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad4890e40000653ab0e7fb89bfa221d75bd25aed8b98e0bac66a13aa229caf5855128d33a233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573d811d601d901013c0c630eb58c720101d901036393cbc272038c720102d602d901023c0c630eb58c720201d9010463aedb63087204d901064d0e938c7206018c720202d603830002d604e3010ed605d901050c63b072050500d9010741639a8c720701c18c720702d6067303d607b472060440048001d6087300d609d9010963e4c672090464d60a7302d60bd9010b3c0c630eb0dc0c0f8c720b0101d9010d63db6308720d0500d9010d414d0ed801d60f8c720d029a8c720d0195938c720f018c720b028c720f020500d60cd9010c32b4e4720c04020442d60d832002025b02cf02f102020225024302660278020c02d50219021202570205020a026e02d3023a02c502d1022e02ef020e02300241023902ed025d0298021f024b02fad60ee4e30002d60fd9010f63b2db6308720f040200d610dc0c1aa402a70400d611d9011105958f72110580020402958f7211058080020404958f721105808080020406958f72110580808080020408958f721105808080808002040a958f72110580808080808002040c958f7211058080808080808002040e958f72110580808080808080800204100412d197830401dad901120295ec93721202039372120204d812d614cbc2a7d615b2da7201018602a57214040000d616db6501fed617b2da720201860272167301040000d618e572047203d619da7201018602a47214d61ada7205017219d61bb2da7202018602a57207040000d61cdc640bda720901b2da7202018602721672080400000283040e8320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c583200202b002b9020702ab02af02ad028d02ff02ce022f029f021d02fa0215023502c0022202dd02a00253026602f402fb02d2027f0258021d0213022f024b022302f683200202b802c3022c020b029e024202cc028602d0023002b20261028e025a020602c002d202eb022b02a00264021f02090206028502b9028502ed02ab02100295026fe5e3020e7203d61ddad9011d32b4e4721d040c044c01b2721c040600d61e7cb4e4b2721c04040004020412d61fda720b0186027219720ad6208301637215d621da720b0186027220720ad622da720b0186027219721dd623da720b0186027220721dd624afb5db63087215d901244d0ed801d6268c722401ed947226720a947226721dd901244d0e928c722402da720b01860272198c722401d625afdc0c0f721901d9012563db63087225d901254d0ed801d6278c722501ec937227720aaedb63087215d901284d0e938c722801722797830201dad9012602959372260203d803d628dc640bda72090172170283040e8320020222025e023f02c502d1028902f5024702d902c6022602be02bd02c602710239028b026c0200027c0278023d02c4027f0290023f022402bf027f02340284027983200202bc024a025a02b902e4025a02b7024b027902fa02ec02bf02670249026c02c202bf028c022b020e025502db02e802ac02cf02c3029d021402890211027402908320020276027c02aa028002b9028e0249026a02d802a902f6028902c40241020a02e402530232027f020f029502e90250028402c002ae0220026302500279023b0277720d7218d6299a9c7cb4e4b2722804000004020412dad9012963b2e4c67229051104040001721b0502d62a93720a721d9683070192c1721599721a7cb4e4b272280406000402041292722199721f9a9a72297cb4e4b272280402000402041295722a721e050095722a0101927223997222721e7224722592da720b018602830163b2b5a5d9012b6393cbc2722bb4e4b2722804040004020442040000720a722993cbc2b2a4040200da720c01b2721c040200010001720edad9012602959372260204d801d628dc640bda72090172170283020e83200202ec02f202d0024b02ae024802a0020a028a026e024902c002560272026302c902f502d2023f022602c80223025802a1027602ab02d102f0022102d802b10230720d72189683070192c1721599721a7cb4e4b272280402000402041292722199721f7cb4e4b27228040000040204129593720a721d010192722372227224722593cbc2b2a4040200da720c01b2721c040000938cda720f01721b028cda720f01b2da7202018602a4720704000002010001720e010001720edad9011202959372120209e6b2dc640bda720901b2da7202018602db6501fe72080400000283010ecbb3831c020269026d022e0270026102690264026502690261022e0263026f026e027402720261026302740273022e0261026302740269026f026e022ec2b2da7202018602a4b4720604000440040000e47204040000010001720edad901120295937212020ad804d614cbc2a7d615da7201018602a47214d616da7201018602a57214d617da72050172159683050192b17215040a93b172160402afdb6308b27216040000d901184d0e93da720b01860272158c7218018c72180290997217da7205017216058092f401927217058092f401010001720edad9011202959372120207dad901143c0e6395927210b1a50100d809d616b2a5721000d617c17216d618c1a7d619c27216d61ac4a7d61bc2a7d61c8cc7a701d61dc47216d61e8cc772160196830401927217997218058092f40193cb7219da720c01b2dc640bda7209018c7214020283010e8c721401e57204720304000093b4721a9a9ada7211017218b1721bda7211017e721c05b1721ab4721d9a9ada7211017217b17219da7211017e721e05b1721d978302019299721e721c0480c33d94721b721901860283200202c702c5023702e602c602350293020e02cb024a02ce029502a50249022602b302ab02770269028d029f0249022202f002b102c5028e02a8027102560248023bb2da7202018602db6501fe7208040000010001720e",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(0,6,83,-85,14,127,-72,-101,-6,34,29,117,-67,37,-82,-40,-71,-114,11,-84,102,-95,58,-94,41,-54,-11,-123,81,40,-45,58,35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = Coll[Byte]()\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n val coll6 = placeholder[Coll[Byte]](3)\n val coll7 = coll6.slice(32, 64)\n val coll8 = placeholder[Coll[Byte]](0)\n val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n val coll10 = placeholder[Coll[Byte]](2)\n val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n }) }\n val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n val coll13 = Coll[Byte](\n 91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n )\n val b14 = getVar[Byte](0.toByte).get\n val func15 = {(box15: Box) => box15.tokens(1) }\n val i16 = INPUTS.indexOf(SELF, 0)\n val func17 = {(l17: Long) =>\n if (l17 < 128L) { 1 } else {\n if (l17 < 16384L) { 2 } else {\n if (l17 < 2097152L) { 3 } else {\n if (l17 < 268435456L) { 4 } else {\n if (l17 < 34359738368L) { 5 } else {\n if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val box21 = func1((OUTPUTS, coll20))(0)\n val coll22 = CONTEXT.dataInputs\n val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n val coll24 = opt4.getOrElse(coll3)\n val coll25 = func1((INPUTS, coll20))\n val l26 = func5(coll25)\n val box27 = func2((OUTPUTS, coll7))(0)\n val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte), Coll[Byte](79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte), Coll[Byte](-80.toByte, -71.toByte, 7.toByte, -85.toByte, -81.toByte, -83.toByte, -115.toByte, -1.toByte, -50.toByte, 47.toByte, -97.toByte, 29.toByte, -6.toByte, 21.toByte, 53.toByte, -64.toByte, 34.toByte, -35.toByte, -96.toByte, 83.toByte, 102.toByte, -12.toByte, -5.toByte, -46.toByte, 127.toByte, 88.toByte, 29.toByte, 19.toByte, 47.toByte, 75.toByte, 35.toByte, -10.toByte), Coll[Byte](-72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n val l31 = func11((coll25, coll10))\n val coll32 = Coll[Box](box21)\n val l33 = func11((coll32, coll10))\n val l34 = func11((coll25, coll29))\n val l35 = func11((coll32, coll29))\n val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n val coll38 = tuple36._1\n (coll38 != coll10) && (coll38 != coll29)\n }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n val coll39 = tuple37._1\n (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n })\n anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.toByte), Coll[Byte](118.toByte, 124.toByte, -86.toByte, -128.toByte, -71.toByte, -114.toByte, 73.toByte, 106.toByte, -40.toByte, -87.toByte, -10.toByte, -119.toByte, -60.toByte, 65.toByte, 10.toByte, -28.toByte, 83.toByte, 50.toByte, 127.toByte, 15.toByte, -107.toByte, -23.toByte, 80.toByte, -124.toByte, -64.toByte, -82.toByte, 32.toByte, 99.toByte, 80.toByte, 121.toByte, 59.toByte, 119.toByte), coll13), coll24)\n val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n val bool42 = coll10 == coll29\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n )} else { false } }(b14)))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val coll21 = func1((INPUTS, coll20))\n val coll22 = func1((OUTPUTS, coll20))\n val l23 = func5(coll21)\n allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n val box22 = OUTPUTS(i16)\n val l23 = box22.value\n val l24 = SELF.value\n val coll25 = box22.propositionBytes\n val coll26 = SELF.bytesWithoutRef\n val coll27 = SELF.propositionBytes\n val i28 = SELF.creationInfo._1\n val coll29 = box22.bytesWithoutRef\n val i30 = box22.creationInfo._1\n allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
"address": "guXrqVUozVvKJDd35QAC9e9D5okdcBLu4mrbTPU1my2vNZbTGemsYHeE2MWcL7W9dSvAqXikSgwus2rM6BjC1jvEBMoewT3siatBE2qZZp7NUjGytM3wr62C6NhvQMoewg2Kb9AERUuWca6BZb6WS2CiJE55K2QMn5ZTKxPq75uRLkQkaas31rYNjRvRuSVdCw3uoLHhUmpzLzVmaunHZMdJF7YaHZHb6A7ypBj8LDkQtbsS5yXE9YjhJZda4xdFXSNLQqtxTpCj8iMkSM3vemo4C2mdPuufGo8cWBtcVhe44aZeYE78KisySXFwtb6D5hBoNoUJBmEb37YL9kuCgZTinht3dUzVW24e3h82dqammfPYwEWJtpVimX3AFLcLJGvX4XhvCLKECZDaAUArCjruRtBw6eCrMWMhBYXBgvDFAmprzyn1U1SGgxWrFVyVShmfzC8qBKySaT17UCNf9hHt43NQYRDo8JQSYykqtzS4AqSV6ZDjTMRHnQQCCGafMT78iV3xPGrL9Fmpc5V5waH5rE7sbvQaqivXmVitTtCkQZJKaz8hrMUARkbJvza7NtuQfLgoUGZh6DyFGJ5VbTiVqhUadjX2EtNHRZnVFj2r9AXi3xYJdjzuQfUod3KZQ9dwEs1BcP5E8kUe2wF8o2Hrfi1LVAtXhnu4acNeyW8bMmVQH4RxfpgbLoe7YiqR7XHCHm3UMbQ8nSgGrwTpjTtFb4GTAgGXAjbsJpfSm5HyRr9omuKRZoy1v35KPnHHMWSa1794rh9NW4Yt8rdZijzvzaMypVTNNgcY22RpzwWRhP3CqHEtA2aqVUxrvVDGZgmLjGjGRucCyTsMNFJYHXpKvgq1su4rgeYk8ucxJPpCYCFdA4wA2rdt7DNSGEbykcd9wUvyqx1pAGc7BAkwLwmVJia1xWY685VwGzrA9AwHGBqsmRff9BmhoLKnsc6QLseGpyoNAa3iqfqzK3v86awDkBYEzc19MLdxyjokXxSi7bbAShqfMUEY4cF36BWDFmNG8SQszXFWZU2rz6WAxjQz2PGQuVLN4A6i6fQv7jUdiWzKH3H1cdNMdpoXYrHDriChAXY9r1XMpe8ySUPNHvVKr76K37C1RdNfYVPq4vmYacQNMfdJx4HQJppygNZUZAQB1rQqCVt2ASEoacrrhGVBa1ZHDJ3h6KYM16TE6KTWaQU2wCbgxobHeyvCLB8NhSWYU3QKQuNb8YQcm2mcoQycRWqcfrQhnwoovWM8veeFjT9aUTnAX5RKNpRi9qxgM8AxtAoHzMgSujeyKddVKKutZ3ZNQ21eBu3kfSm5AeiPUZnDFsoZAVZydhThofFvkgWiMHaDqgRz9sPw4pQuuix5Q4VaqM1C3vBuMxh8UHgBBbrvYFfaRo3vyrCXFA52bUqwKW9R4dYMQ3oQxdEr53UtbvVjmSNbsd7nYWNn3itfS7nvsYCWhFXfP4djkXMspsy8V23bYtM4Awrtc5HsTr1PAGi2RFnmqHnjvMFnwbFygrEhXtmWmzfwAE2jAmsqpAGMZxD54Ra9c6dTtxp436XDErDgYaerW1GqyMPikWBeLGwxn8bNzKKz7EmhbRzzzHcQwDXJDVnWNZBzVfNDsdbnLUB5KL2JtHqq2NaD8VjFV6UfVi5UkpR9n3vnhjLeqPdA4aaZTHchmQa1sJ4JZCg1MA9jfq7vaYigo6CS1nQM2Rw7HzXzxY28S1SF6E1zxJHkGhwvPCFt3Hrvgb2sMgSEs28dV5xSuVhgqEUk1kvn6iYcpiZDioFxLUxK8Ap72typxEGwSWMKCjfJ2TjFwv8A8wCsAwAP7GSgjQjXnaXZu7RPR73yDrsJZkJ751uXQ3huU75HJk47mUTm1uZBYGHh1vBkQksQZ68HZo1pUphvnKTSXSyCL5qZdybpDVmGGPWTeqivQjSkSaLFAjmSqZYmJQNjgmqm8a5MYg6Rg1QKJ5Q6P1931KpxUjPqvEU8rASthoBeKLXgkPLfXK3GDZf2rBstPavJNuhuKeS5ptoNLMFYHQnpUS8ywTa96iQogy99W6nsM73qEdzjpARhr4Vf5cqDFPuADw1yC4WbCixDJHkP3LC22hzttfJnPfnvm4szVvPs3AcpTk1sLUAunmFbKQ766xQWiWfuXLcCxZH7iqne6WphY5bjF9zpmGD199cP7wUyyNsXaJnNzp6bku6Q2ojB3R4YqDiSfa5hNw5tt4WfNYkj3vjyxPK2of944dZnoecYuQ3GfiTyoNggRuv6ushr349cFaayUbZ1ri9JyjaUUNFBseNNgGNGDxb2Nr7SddnG9PWyvnG9bFt7ddjbhrxSsXYW1jiHXW3WSDy2bkB7GbZ443Yqe7kUPUhzfPPwiPEif3cf6qYdMvR6bJp8t4jzicd3oikUnbwbW5kYN4s75KdWcBEGaCWjakMHmRFKijLmvQBT2cDEi83BWTkdjFkwdg2L3ax7Pgk15qxFQmQA5W4nvLBBcUL3b3iQNxDtdDcQmKQnnrTs4ApE4mEBVsF3nxXdUTcC5Vib1MoY1kxPV34AtPB36zKHj7zAyoqmMtF35rvB1FtRBPekNnsjzdB1S3atuUTWbYWbzcdMqBxGh6nnmQFRw4zpekXyyoBmcmvCp4szqKKdoDirgDkFGEdq87sxfRfaWze5VSQTtnadQ5ndyXMX3AcxvneHVFf85y33Kw5gi9jkvFJV2rauEfVjNr8PJxcEuQPD9ftwFe1upjbkL5NywpYrAo97DtCR6mMi9bWJWRam6W4GsEnLTsuV1YUKMJeDpVSmEjBgp22onmoWituc4TiZucyDJQNsTWsXT9EjsP7MKmH5hP69vypj7WxfGgjdgjziD9cTaiNHkpkQKnBB8KhGEhaX7dHMCXU7Cg4Fs7ZDgacSnLD4An9nm82LFkftNJ9y6HwnDpPxvm9fL2f12uVjtabRMRcxxSSfNsenvcHDRPYWNhAE8DdtX1VNfjdvqE9sCJPxqfwYNUTbxmKbpmgvtAn1TSMFVU63cLGn5o54S3fFmCbs7gq77ZYy9G7aB49BHNUDTWTxiaWw4UpEHhrRot3og84BV7r7XBEekRCf7dTy2DkRzyVkFaYfZ7Zzcf38QJ8CWbNRUws5UmYWEu8vWvmgmNbweKHiVAmQdwYbiDoL7DRcTt1gTy2J3q5YCorPauYhbdJfWizrHNxtiqhgj31FgPNBmrksBSgciHwsiaMJq51beLGd249XUZDWRTYnJp1ghRtYTMQ1",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 1000000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "55d673e94edb5c2889c12f4053aadd5b580aa3f300fda9b1ce8df9a4bd495cff",
"mainChain": true
},
{
"boxId": "cce0541d10be95a4286b4a9ce5404e7358ff7c9e25730e2250e90d3977dbb066",
"transactionId": "5a5810fe3d306a038e763f7e139174ff60e5a41eae18e74f459e709ddfc1fc75",
"blockId": "9ffb33d9e785b8c7cbcff7c695b182899221427f01d8f500454b8572713653f7",
"value": 1000000,
"index": 1,
"globalIndex": 43413112,
"creationHeight": 1380534,
"settlementHeight": 1380536,
"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": "a468719d94ecdb01638a789549f6f5c8ac1ce8ff7990d968d177baad5c2cc89d",
"mainChain": true
}
],
"size": 3444,
"isUnconfirmed": false
}