Transaction
ID: 4a8db1d0c8...1e96
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
3.11 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.01 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:
0.101 ERG
Tokens:
100,000
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
Transaction Details
Confirmations: 384,084
Total coins transferred: 3.11 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000169 ERG
Raw Transaction Data
{
"id": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"inclusionHeight": 1380522,
"timestamp": 1729773758471,
"index": 3,
"globalIndex": 7948105,
"numConfirmations": 384084,
"inputs": [
{
"boxId": "308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71",
"value": 3113000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"outputTransactionId": "613bc64b2c061511c7509809a46aa5b78157e4f8f3d1d92463d61755fafc3937",
"outputIndex": 0,
"outputGlobalIndex": 43412747,
"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)",
"ergoTreeScript": "{\n val func1 = {(opt1: Option[Coll[Byte]]) => opt1.get.slice(1, 33) }\n sigmaProp(if (OUTPUTS.size == 2) { {(tuple2: (Box, (Box, (Coll[Byte], Int)))) =>\n val tuple4 = tuple2._2\n val box5 = tuple4._1\n val box6 = tuple2._1\n val tuple7 = tuple4._2\n allOf(Coll[Boolean](box5.value >= box6.value - 1000000L, box5.tokens == box6.tokens, box5.propositionBytes == tuple7._1, CONTEXT.preHeader.height >= box6.creationInfo._1 + tuple7._2))\n }((SELF, (OUTPUTS(0), (SELF.R6[Coll[Byte]].get, 15)))) } else {(\n val box2 = CONTEXT.dataInputs(0)\n val avlTree3 = getVar[AvlTree](1.toByte).get\n val box4 = OUTPUTS(0)\n val coll5 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](-123.toByte, -126.toByte, 49.toByte, 25.toByte, -14.toByte, 96.toByte, -57.toByte, -69.toByte, -17.toByte, 91.toByte, 10.toByte, 69.toByte, 78.toByte, -79.toByte, -26.toByte, 67.toByte, -22.toByte, 98.toByte, -63.toByte, 27.toByte, -91.toByte, 75.toByte, 108.toByte, 40.toByte, 114.toByte, -14.toByte, 68.toByte, -44.toByte, 66.toByte, -3.toByte, 57.toByte, 127.toByte), Coll[Byte](8.toByte, 3.toByte, -121.toByte, 15.toByte, -57.toByte, -119.toByte, -94.toByte, -45.toByte, 34.toByte, 7.toByte, -85.toByte, -127.toByte, -4.toByte, -127.toByte, -12.toByte, 90.toByte, 68.toByte, 113.toByte, 31.toByte, 43.toByte, 88.toByte, 14.toByte, -10.toByte, -25.toByte, -46.toByte, 96.toByte, -11.toByte, 22.toByte, 64.toByte, 52.toByte, 77.toByte, 43.toByte)), getVar[Coll[Byte]](0.toByte).get)\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val coll7 = coll6(0)\n val coll8 = coll6(1)\n val coll9 = SELF.id\n val coll10 = box4.tokens\n val tuple11 = coll10(1)\n val box12 = OUTPUTS(3)\n val tuple13 = box12.tokens(0)\n val coll14 = box12.R4[Coll[Byte]].get\n allOf(Coll[Boolean](box2.tokens(0)._1 == placeholder[Coll[Byte]](0), Coll[Byte](78.toByte, -58.toByte, 31.toByte, 72.toByte, 91.toByte, -104.toByte, -21.toByte, -121.toByte, 21.toByte, 63.toByte, 124.toByte, 87.toByte, -37.toByte, 79.toByte, 94.toByte, -51.toByte, 117.toByte, 85.toByte, 111.toByte, -35.toByte, -68.toByte, 64.toByte, 59.toByte, 65.toByte, -84.toByte, -8.toByte, 68.toByte, 31.toByte, -34.toByte, -114.toByte, 22.toByte, 9.toByte, 0.toByte) == avlTree3.digest, allOf(Coll[Boolean](blake2b256(box4.propositionBytes) == func1(coll5(0)), box4.R4[AvlTree].get.digest == avlTree3.insert(Coll[(Coll[Byte], Coll[Byte])]((Coll[Byte](37.toByte, -75.toByte, -102.toByte, 116.toByte, 0.toByte, -35.toByte, -76.toByte, -39.toByte, 37.toByte, 58.toByte, 20.toByte, 83.toByte, 113.toByte, -73.toByte, -52.toByte, -114.toByte, -40.toByte, 97.toByte, 99.toByte, -40.toByte, -2.toByte, -87.toByte, 44.toByte, -43.toByte, 112.toByte, -116.toByte, -122.toByte, 18.toByte, -13.toByte, -42.toByte, -109.toByte, -81.toByte), coll7), (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), coll8), (Coll[Byte](-54.toByte, 11.toByte, -75.toByte, -24.toByte, -54.toByte, -41.toByte, 24.toByte, 34.toByte, 92.toByte, -113.toByte, 45.toByte, 2.toByte, 97.toByte, -96.toByte, -48.toByte, -107.toByte, -14.toByte, 93.toByte, 94.toByte, -121.toByte, 70.toByte, 10.toByte, -122.toByte, 51.toByte, -12.toByte, 0.toByte, -36.toByte, 60.toByte, -55.toByte, 7.toByte, -111.toByte, 47.toByte), Coll[Byte](10.toByte, 0.toByte, 0.toByte, 0.toByte, 0.toByte, 32.toByte).append(coll9)), (Coll[Byte](38.toByte, 14.toByte, 88.toByte, -72.toByte, 79.toByte, -98.toByte, 0.toByte, -66.toByte, 90.toByte, 127.toByte, -91.toByte, 18.toByte, 7.toByte, 50.toByte, -113.toByte, -85.toByte, -41.toByte, 16.toByte, -114.toByte, -101.toByte, -22.toByte, 5.toByte, 101.toByte, 122.toByte, -70.toByte, -92.toByte, 93.toByte, 1.toByte, 52.toByte, -97.toByte, -62.toByte, 101.toByte), coll6(2)), (Coll[Byte](-10.toByte, -1.toByte, -117.toByte, 114.toByte, 16.toByte, 1.toByte, 85.toByte, 69.toByte, -44.toByte, -77.toByte, -84.toByte, 95.toByte, -58.toByte, 12.toByte, -112.toByte, -128.toByte, -110.toByte, -48.toByte, 53.toByte, -95.toByte, -95.toByte, 97.toByte, 85.toByte, -64.toByte, 41.toByte, -24.toByte, -43.toByte, 17.toByte, 98.toByte, 124.toByte, 122.toByte, 44.toByte), coll6(3)), (Coll[Byte](-81.toByte, 120.toByte, 91.toByte, 10.toByte, -35.toByte, -128.toByte, 92.toByte, 92.toByte, 49.toByte, -15.toByte, -52.toByte, 58.toByte, 62.toByte, -106.toByte, -56.toByte, -112.toByte, 8.toByte, -3.toByte, 113.toByte, 39.toByte, 50.toByte, 1.toByte, 7.toByte, -93.toByte, 120.toByte, 75.toByte, 127.toByte, 73.toByte, -23.toByte, 86.toByte, 72.toByte, 66.toByte), coll6(4)), (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), coll6(5)), (Coll[Byte](-101.toByte, 22.toByte, -79.toByte, -128.toByte, -127.toByte, 39.toByte, 77.toByte, -62.toByte, 47.toByte, 24.toByte, -24.toByte, 89.toByte, 25.toByte, -106.toByte, -94.toByte, 102.toByte, -45.toByte, -71.toByte, 33.toByte, -73.toByte, 113.toByte, -127.toByte, 12.toByte, -54.toByte, 12.toByte, -72.toByte, -25.toByte, 18.toByte, 74.toByte, -40.toByte, 8.toByte, -66.toByte), coll6(6)), (Coll[Byte](65.toByte, -13.toByte, -104.toByte, -128.toByte, 101.toByte, 82.toByte, -124.toByte, 94.toByte, 82.toByte, 0.toByte, -112.toByte, 50.toByte, 16.toByte, 95.toByte, 89.toByte, -27.toByte, -53.toByte, 44.toByte, -79.toByte, 65.toByte, -34.toByte, 99.toByte, -52.toByte, 115.toByte, 123.toByte, 109.toByte, -103.toByte, 87.toByte, 83.toByte, -61.toByte, 110.toByte, -127.toByte), coll6(7)), (Coll[Byte](-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), coll6(8)), (Coll[Byte](40.toByte, -58.toByte, -124.toByte, 89.toByte, 62.toByte, 17.toByte, 78.toByte, 122.toByte, 82.toByte, 44.toByte, -90.toByte, -26.toByte, -112.toByte, -104.toByte, 119.toByte, -83.toByte, 10.toByte, 121.toByte, -82.toByte, -103.toByte, -37.toByte, 109.toByte, 108.toByte, -44.toByte, 56.toByte, 25.toByte, -93.toByte, 77.toByte, 80.toByte, 91.toByte, 55.toByte, -24.toByte), coll6(9)), (Coll[Byte](59.toByte, 8.toByte, 57.toByte, -57.toByte, -9.toByte, 126.toByte, -4.toByte, -122.toByte, -37.toByte, -96.toByte, -92.toByte, 95.toByte, -86.toByte, -51.toByte, 100.toByte, -90.toByte, 56.toByte, -74.toByte, -114.toByte, 10.toByte, -62.toByte, 106.toByte, -88.toByte, 10.toByte, 21.toByte, -116.toByte, -114.toByte, -66.toByte, 87.toByte, -82.toByte, 21.toByte, -125.toByte), coll6(10)), (Coll[Byte](-9.toByte, -4.toByte, 55.toByte, -34.toByte, 3.toByte, -16.toByte, 24.toByte, 93.toByte, -14.toByte, -63.toByte, -57.toByte, -57.toByte, -69.toByte, 92.toByte, 6.toByte, 79.toByte, 48.toByte, -46.toByte, 18.toByte, -3.toByte, 91.toByte, 107.toByte, 65.toByte, -91.toByte, -81.toByte, -28.toByte, 88.toByte, 12.toByte, 119.toByte, 87.toByte, 3.toByte, 121.toByte), coll6(11)), (Coll[Byte](94.toByte, -3.toByte, -61.toByte, -19.toByte, -105.toByte, 38.toByte, -124.toByte, -53.toByte, 33.toByte, -113.toByte, -80.toByte, -125.toByte, 116.toByte, 67.toByte, -6.toByte, 60.toByte, -78.toByte, 66.toByte, -46.toByte, 60.toByte, -77.toByte, 75.toByte, 42.toByte, 30.toByte, 65.toByte, 17.toByte, 102.toByte, 36.toByte, 37.toByte, 89.toByte, 42.toByte, -112.toByte), coll6(12)), (Coll[Byte](-126.toByte, 12.toByte, -72.toByte, 9.toByte, -53.toByte, -3.toByte, -77.toByte, 57.toByte, -80.toByte, -46.toByte, 29.toByte, -67.toByte, 120.toByte, 104.toByte, 120.toByte, -123.toByte, 74.toByte, -89.toByte, 26.toByte, -111.toByte, -61.toByte, 111.toByte, 121.toByte, -74.toByte, 17.toByte, -22.toByte, 107.toByte, -52.toByte, -51.toByte, 75.toByte, 68.toByte, -55.toByte), coll6(13)), (Coll[Byte](-16.toByte, 54.toByte, 125.toByte, -33.toByte, 52.toByte, 53.toByte, -104.toByte, 31.toByte, 74.toByte, -91.toByte, 87.toByte, 27.toByte, -111.toByte, -35.toByte, 70.toByte, -2.toByte, -127.toByte, 54.toByte, 103.toByte, -14.toByte, -120.toByte, -115.toByte, 79.toByte, -58.toByte, -111.toByte, -106.toByte, -113.toByte, -34.toByte, 21.toByte, -121.toByte, -101.toByte, -105.toByte), coll6(14)), (Coll[Byte](115.toByte, -85.toByte, 38.toByte, -94.toByte, -77.toByte, 88.toByte, 99.toByte, 61.toByte, -14.toByte, 34.toByte, -70.toByte, -121.toByte, 33.toByte, -21.toByte, 66.toByte, -87.toByte, 65.toByte, -60.toByte, -26.toByte, 109.toByte, -95.toByte, -88.toByte, -37.toByte, 68.toByte, -81.toByte, -49.toByte, 124.toByte, 24.toByte, 92.toByte, -68.toByte, -17.toByte, 63.toByte), coll6(15)), (Coll[Byte](88.toByte, -91.toByte, -19.toByte, 72.toByte, -33.toByte, 65.toByte, 88.toByte, -84.toByte, 19.toByte, 108.toByte, -126.toByte, -83.toByte, 46.toByte, -23.toByte, -7.toByte, -16.toByte, 79.toByte, -15.toByte, 28.toByte, -109.toByte, 59.toByte, 13.toByte, 22.toByte, -53.toByte, -51.toByte, 16.toByte, 118.toByte, 94.toByte, 3.toByte, -68.toByte, 94.toByte, -1.toByte), coll6(16)), (Coll[Byte](-9.toByte, -9.toByte, 56.toByte, 80.toByte, 78.toByte, 5.toByte, 18.toByte, -80.toByte, 118.toByte, -10.toByte, 53.toByte, 2.toByte, -15.toByte, 29.toByte, -54.toByte, -62.toByte, 39.toByte, 28.toByte, 108.toByte, 96.toByte, -123.toByte, -51.toByte, 42.toByte, 95.toByte, -84.toByte, 114.toByte, -24.toByte, -113.toByte, 78.toByte, -24.toByte, 108.toByte, -9.toByte), coll6(17)), (Coll[Byte](2.toByte, -101.toByte, -26.toByte, -45.toByte, 69.toByte, 72.toByte, -94.toByte, -125.toByte, 63.toByte, 7.toByte, 62.toByte, 83.toByte, 46.toByte, -117.toByte, 17.toByte, 23.toByte, -4.toByte, 8.toByte, 38.toByte, 71.toByte, -96.toByte, -62.toByte, -29.toByte, -12.toByte, -127.toByte, -18.toByte, 41.toByte, -30.toByte, 61.toByte, -117.toByte, -118.toByte, 31.toByte), coll6(18)), (Coll[Byte](43.toByte, -28.toByte, -110.toByte, 111.toByte, 20.toByte, -47.toByte, 21.toByte, -81.toByte, -39.toByte, -49.toByte, 17.toByte, 51.toByte, -9.toByte, -18.toByte, 73.toByte, -101.toByte, 93.toByte, 8.toByte, -127.toByte, -41.toByte, 7.toByte, 89.toByte, -114.toByte, 89.toByte, 72.toByte, -4.toByte, -90.toByte, 113.toByte, -26.toByte, -120.toByte, 21.toByte, 8.toByte), coll6(19))), getVar[Coll[Byte]](2.toByte).get).get.digest, coll10(0)._1 == {(tuple15: (Coll[Box], Coll[Byte])) => tuple15._1.filter({(box17: Box) => blake2b256(box17.propositionBytes) == tuple15._2 }) }((INPUTS, func1(coll5(2))))(0).tokens(1)._1, tuple11._1 == coll8.slice(6, 38), tuple11._2 == SELF.R5[Coll[Long]].get(0) + 1L, box4.value >= 13000000L)), allOf(Coll[Boolean](blake2b256(box12.propositionBytes) == func1(coll5(1)), tuple13._1 == coll9, tuple13._2 == 1L, coll14 == coll7.slice(5, coll7.size).append(Coll[Byte](32.toByte, 68.toByte, 65.toByte, 79.toByte, 32.toByte, 75.toByte, 101.toByte, 121.toByte)), box12.R5[Coll[Byte]].get == coll14, box12.R6[Coll[Byte]].get == Coll[Byte](48.toByte)))))\n )})\n}",
"address": "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",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 1000000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 1,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[060000000a5369676d616e61757473,0a000000002000b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c,0001,030000000000000064,030000000000000258,030000000000000000,030000000000000001,03000000009a7ec800,0000,0019,0019,060000000a7369676d616e61757473,060000001a506169646569612064616f20666f72205369676d616e61757473,060000004d68747470733a2f2f7062732e7477696d672e636f6d2f70726f66696c655f696d616765732f313731313934383134303336393032323937362f5942414d517246415f343030783430302e6a7067,030000000005265c00,0600000000,0500,0600000000,0500,060000000764656661756c74]"
},
"R5": {
"serializedValue": "110100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0]"
},
"R6": {
"serializedValue": "0e240008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63"
}
}
},
{
"boxId": "e65c57eb223640536ae60331a5abb08105908b1047d80a8b9bc8a4c7e7934d77",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"outputTransactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"outputIndex": 0,
"outputGlobalIndex": 43408762,
"outputCreatedAt": 1380373,
"outputSettledAt": 1380377,
"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(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)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\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 func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 14.toByte) {(\n val box11 = OUTPUTS(1)\n val coll12 = box11.tokens\n val coll13 = SELF.tokens\n val tuple14 = coll12(1)\n val tuple15 = coll13(1)\n val coll16 = tuple15._1\n val box17 = OUTPUTS(0)\n val coll18 = func3(func2((CONTEXT.dataInputs, coll1))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](114.toByte, 41.toByte, -3.toByte, -81.toByte, -69.toByte, -106.toByte, 17.toByte, 111.toByte, 60.toByte, -120.toByte, 94.toByte, -67.toByte, 115.toByte, 25.toByte, -93.toByte, 41.toByte, -124.toByte, 66.toByte, -54.toByte, -124.toByte, 0.toByte, 56.toByte, -18.toByte, 12.toByte, 94.toByte, 109.toByte, 50.toByte, -22.toByte, 115.toByte, 94.toByte, 74.toByte, 22.toByte), Coll[Byte](70.toByte, -77.toByte, 100.toByte, 10.toByte, 49.toByte, 115.toByte, -124.toByte, -67.toByte, -86.toByte, 80.toByte, -73.toByte, -92.toByte, 32.toByte, -49.toByte, -113.toByte, 54.toByte, -93.toByte, -72.toByte, 121.toByte, -2.toByte, 78.toByte, -52.toByte, 18.toByte, -74.toByte, -110.toByte, 74.toByte, -50.toByte, 69.toByte, -25.toByte, 53.toByte, 33.toByte, 35.toByte), Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](29.toByte, -20.toByte, -78.toByte, 79.toByte, 8.toByte, -7.toByte, -1.toByte, 21.toByte, 34.toByte, -74.toByte, 83.toByte, -91.toByte, 86.toByte, -114.toByte, 114.toByte, -35.toByte, 66.toByte, 77.toByte, -118.toByte, -104.toByte, 86.toByte, 31.toByte, 62.toByte, -49.toByte, 46.toByte, -20.toByte, -95.toByte, -126.toByte, 50.toByte, 37.toByte, -57.toByte, 105.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)), opt4.get)\n val tuple19 = box17.tokens(0)\n val box20 = OUTPUTS(2)\n val tuple21 = box20.tokens(0)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll12(0) == coll13(0), tuple14._1 == coll16, tuple14._2 == tuple15._2 - 1L, coll12.size == 2, box11.propositionBytes == SELF.propositionBytes, box11.value >= SELF.value)), allOf(Coll[Boolean](blake2b256(box17.propositionBytes) == func5(coll18(2)), tuple19._1 == coll16, tuple19._2 == 1L)), allOf(Coll[Boolean](blake2b256(box20.propositionBytes) == func5(coll18(4)), box20.value == byteArrayToLong(coll18(0).get.slice(1, 9)) + 1000000L, tuple21._1 == placeholder[Coll[Byte]](1), tuple21._2 == byteArrayToLong(coll18(1).get.slice(1, 9)))), blake2b256(INPUTS(0).propositionBytes) == func5(coll18(3))))\n )} else { false } }(b6), {(b9: Byte) => if (b9 == 7.toByte) { {(tuple11: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box13 = OUTPUTS(i7)\n val l14 = box13.value\n val l15 = SELF.value\n val coll16 = box13.propositionBytes\n val coll17 = SELF.bytesWithoutRef\n val coll18 = SELF.propositionBytes\n val i19 = SELF.creationInfo._1\n val coll20 = box13.bytesWithoutRef\n val i21 = box13.creationInfo._1\n allOf(Coll[Boolean](l14 >= l15 - 2000000L, blake2b256(coll16) == func5(func3(tuple11._2).getMany(Coll[Coll[Byte]](tuple11._1), opt4.getOrElse(Coll[Byte]()))(0)), coll17.slice(func8(l15) + coll18.size + func8(i19.toLong), coll17.size) == coll20.slice(func8(l14) + coll16.size + func8(i21.toLong), coll20.size), anyOf(Coll[Boolean](i21 - i19 >= 504000, coll18 != coll16))))\n )} }((Coll[Byte](8.toByte, 3.toByte, -121.toByte, 15.toByte, -57.toByte, -119.toByte, -94.toByte, -45.toByte, 34.toByte, 7.toByte, -85.toByte, -127.toByte, -4.toByte, -127.toByte, -12.toByte, 90.toByte, 68.toByte, 113.toByte, 31.toByte, 43.toByte, 88.toByte, 14.toByte, -10.toByte, -25.toByte, -46.toByte, 96.toByte, -11.toByte, 22.toByte, 64.toByte, 52.toByte, 77.toByte, 43.toByte), func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b6))))\n}",
"address": "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",
"assets": [
{
"tokenId": "18b3490e56396577d51c24a1927e635a46887b05826f4e00b130f8193fbdc82a",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "b297fbbe89628e4b6328755bf44c7c5f6d8d81f20eb64fe77abaebd49e807774",
"value": 1000000000,
"index": 0,
"outputBlockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"outputTransactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"outputIndex": 2,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "641375a5d0ed0e759d91187d3743d18db0c8298099cefabeb65d23a199de933bea07072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "38e5ce513bf85098e8f476a24287fccbf273c9f19d522ee07990e2df721e3bbc",
"transactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"value": 3010000000,
"index": 0,
"globalIndex": 43412752,
"creationHeight": 1380519,
"settlementHeight": 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)",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(0)\n val avlTree2 = box1.R4[AvlTree].get\n val coll3 = getVar[Coll[Byte]](1.toByte).get\n val avlTree4 = SELF.R4[AvlTree].get\n sigmaProp(allOf(Coll[Boolean](box1.tokens(0)._1 == placeholder[Coll[Byte]](0), if (getVar[Byte](0.toByte).get == 0.toByte) {(\n val box5 = OUTPUTS(1)\n val coll6 = avlTree2.getMany(Coll[Coll[Byte]](Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](-123.toByte, -126.toByte, 49.toByte, 25.toByte, -14.toByte, 96.toByte, -57.toByte, -69.toByte, -17.toByte, 91.toByte, 10.toByte, 69.toByte, 78.toByte, -79.toByte, -26.toByte, 67.toByte, -22.toByte, 98.toByte, -63.toByte, 27.toByte, -91.toByte, 75.toByte, 108.toByte, 40.toByte, 114.toByte, -14.toByte, 68.toByte, -44.toByte, 66.toByte, -3.toByte, 57.toByte, 127.toByte)), coll3)\n val tuple7 = box5.tokens(0)\n val coll8 = SELF.id\n val coll9 = getVar[Coll[Byte]](3.toByte).get\n val coll10 = avlTree4.getMany(Coll[Coll[Byte]](Coll[Byte](37.toByte, -75.toByte, -102.toByte, 116.toByte, 0.toByte, -35.toByte, -76.toByte, -39.toByte, 37.toByte, 58.toByte, 20.toByte, 83.toByte, 113.toByte, -73.toByte, -52.toByte, -114.toByte, -40.toByte, 97.toByte, 99.toByte, -40.toByte, -2.toByte, -87.toByte, 44.toByte, -43.toByte, 112.toByte, -116.toByte, -122.toByte, 18.toByte, -13.toByte, -42.toByte, -109.toByte, -81.toByte)), getVar[Coll[Byte]](2.toByte).get)(0).get\n val coll11 = coll10.slice(5, coll10.size)\n val tuple12 = if (coll9 == Coll[Byte](61.toByte, -86.toByte, 102.toByte, -128.toByte, -114.toByte, 105.toByte, -62.toByte, 90.toByte, -23.toByte, 50.toByte, -35.toByte, 102.toByte, 97.toByte, 28.toByte, 95.toByte, 11.toByte, 60.toByte, -70.toByte, -54.toByte, -47.toByte, 18.toByte, 82.toByte, 3.toByte, -24.toByte, 125.toByte, -115.toByte, -60.toByte, -111.toByte, -122.toByte, 28.toByte, 113.toByte, -26.toByte)) { (coll11.append(Coll[Byte](32.toByte, 80.toByte, 114.toByte, 111.toByte, 112.toByte, 111.toByte, 115.toByte, 97.toByte, 108.toByte)), 9223372036854775807L) } else { if (coll9 == Coll[Byte](-70.toByte, -86.toByte, -101.toByte, 22.toByte, 76.toByte, -76.toByte, -72.toByte, 13.toByte, 115.toByte, 94.toByte, 16.toByte, 66.toByte, 78.toByte, 38.toByte, -92.toByte, 113.toByte, -71.toByte, 98.toByte, 28.toByte, 2.toByte, -17.toByte, -54.toByte, 23.toByte, 70.toByte, 19.toByte, 90.toByte, -61.toByte, -10.toByte, -37.toByte, 16.toByte, 20.toByte, 16.toByte)) { (coll11.append(Coll[Byte](32.toByte, 65.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte)), 9223372036854775807L) } else { if (coll9 == Coll[Byte](-17.toByte, -60.toByte, -10.toByte, 3.toByte, -34.toByte, -90.toByte, 4.toByte, 18.toByte, -122.toByte, -88.toByte, -97.toByte, 91.toByte, -43.toByte, 22.toByte, -84.toByte, -106.toByte, -22.toByte, 91.toByte, 37.toByte, -38.toByte, 79.toByte, 8.toByte, -41.toByte, 108.toByte, 105.toByte, 39.toByte, -32.toByte, 29.toByte, 97.toByte, -78.toByte, 42.toByte, -33.toByte)) { (coll11.append(Coll[Byte](32.toByte, 83.toByte, 116.toByte, 97.toByte, 107.toByte, 101.toByte, 32.toByte, 83.toByte, 116.toByte, 97.toByte, 116.toByte, 101.toByte)), 1L) } else { (coll11, -1L) } } }\n val coll13 = box5.R4[Coll[Byte]].get\n val box14 = OUTPUTS(0)\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box5.propositionBytes) == coll6(1).get.slice(1, 33), tuple7._1 == coll8, tuple7._2 == tuple12._2, coll13 == tuple12._1, box5.R5[Coll[Byte]].get == coll13, box5.R6[Coll[Byte]].get == Coll[Byte](48.toByte), box5.value >= 1000000L)), allOf(Coll[Boolean](blake2b256(box14.propositionBytes) == coll6(0).get.slice(1, 33), box14.tokens == SELF.tokens, box14.R4[AvlTree].get.digest == avlTree4.insert(Coll[(Coll[Byte], Coll[Byte])]((coll9, Coll[Byte](10.toByte, 0.toByte, 0.toByte, 0.toByte, 0.toByte, 32.toByte).append(coll8))), getVar[Coll[Byte]](4.toByte).get).get.digest, box14.value >= SELF.value - 2000000L, box14.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get))))\n )} else { blake2b256(INPUTS(1).propositionBytes) == avlTree2.getMany(Coll[Coll[Byte]](Coll[Byte](-46.toByte, 74.toByte, -49.toByte, 66.toByte, 15.toByte, 5.toByte, -112.toByte, 35.toByte, -23.toByte, 116.toByte, 33.toByte, 0.toByte, -123.toByte, 30.toByte, -74.toByte, -83.toByte, -115.toByte, -104.toByte, 118.toByte, 19.toByte, -110.toByte, -75.toByte, -39.toByte, 118.toByte, 20.toByte, 59.toByte, 96.toByte, 8.toByte, -109.toByte, 23.toByte, 106.toByte, 7.toByte)), coll3)(0).get.slice(1, 33) })))\n}",
"address": "5a7cVCCN7ZKBCxGsRM1Z87PFL5oAsMDP1NtutRhX8MaNoqm9JmxdRZy9KBb5nVp4hxAyyxsZ9aeFrDNXxL1fA9361nWqXwLEJM5tV3ekgFPfE81qooqZV4ii4B6VAifckuaUvao6t6pBCyD2zscYmTimJJKEQKEb6ZaNtiw4NYPBqh48q4yB4RtD4rEWF7ZnoDbnbynu3JCDgPMM9K8LSCKgQseRBwXursHYMpiN1TYB9oeaP9pZ7Kck438NmQePsTJBfU2w4zvHMeSKcXAQULKQVDZYXdWmzahN4UimLWuXxwZcgeNG33Tk3vHU8BHiGNdXLabSY2KoGUDRDRuGZgWFH9i9Prgz76ooqasNQs1hfP3ySMjomzDBfCRJuBRMa7eA3RwjUJSvvL5eND4fazPQRx2zUjXZb9JCwG3rUhCbfV5S2qGrp3FKZTkT751ikPw66QiTFjc767q9fJeUnGM8V6rd3MdAuZ7R8nhL12KLJDyEtg6f2Vrs8DjThZD7T7wnV4L4AoFELNDe8iPmAGAH8V5fkNwnRaJJ2hTjK9MMisP7vKY2tcgurh7R74iWXyG7MMVWLutZhdXNSJbqneWUxmUtDM3etYBMWfA7hS4LRmdQ4cc2bcseXFwDJQxkfyH6V4ba5wFnR458GhGyPktcwgCnCdoRfTAUgiuBZXhuWpM6eTg8HmrZx9K1Ntkzx91jBCQBcqFD9G3pMixW8HwaD9Ds457Ebn8iHfbrSbPZWKhDhALbj7AETztGNdWf7Y4XnV5xRVeDSPWVaCRSEReN8VBBgX1BSSNWU43xjhr9Qrn9SMn888vUUZwf3VAMUCgtou8s6QVxkmGwNZUemzi97GpYRLH26y6jgZX8wiJ7BgT6xsSPg6SfVE77chReR8rhfahfSwwomC6UYKboDoizbiTw7VNobL3LYqhSXLegvxP6fwkB6PPxojb6W6b64ho9RZCkhEBr6iLEnVkDQWDGfcLfq8WqArWhGrPafVv7Jdrzk6J9T8umPBw3bdjZU12VqmEcxSXCV7VdB1PhQPFEj7VfJHDp72TBMwy5uQJrEVBu4c1snsJ2p6KDHhyM4wVNqR8SkR2aF7mkmSaPb12Sr3zP5TtgPSkepDPqwZUZDtTzEQG79qufM9z7eydHob3GPD2C63Xr2La6GkVje2Xo3bvaVA2haDTMYHvV7YJ3wBPcZUwUDcx5KTMA5s64bz4q3qRPUMBsrzKU2J6DK5oHMMRBJ4tKffDPn3jFQuJ47ZfhJiagnBpKf1n2E7bNGFL71FD9VsbHqPHb6USknvJshsGkM55d7GH9JJ8CaoFQwaZxZXQW3EnP8JZ9W8iMSfAtgyspmBk6A",
"assets": [
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 1,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "64ed34a69b6253f05630211521451e0abdbb0cfca0ebb6d64d4dda75191a535c6c05072000",
"sigmaType": null,
"renderedValue": null
},
"R5": {
"serializedValue": "0e20308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71",
"sigmaType": "Coll[SByte]",
"renderedValue": "308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71"
}
},
"spentTransactionId": "3c7eb61c7e92ad914ecdb1309e968827afae8ad1810a3baaedb04a9de7798954",
"mainChain": true
},
{
"boxId": "6b284fe676792c7fac0835ca00bca8a1b522abb29eb521b5d7ed085b1b64392f",
"transactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"value": 1000000,
"index": 1,
"globalIndex": 43412753,
"creationHeight": 1380519,
"settlementHeight": 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(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)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\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 func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 14.toByte) {(\n val box11 = OUTPUTS(1)\n val coll12 = box11.tokens\n val coll13 = SELF.tokens\n val tuple14 = coll12(1)\n val tuple15 = coll13(1)\n val coll16 = tuple15._1\n val box17 = OUTPUTS(0)\n val coll18 = func3(func2((CONTEXT.dataInputs, coll1))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](114.toByte, 41.toByte, -3.toByte, -81.toByte, -69.toByte, -106.toByte, 17.toByte, 111.toByte, 60.toByte, -120.toByte, 94.toByte, -67.toByte, 115.toByte, 25.toByte, -93.toByte, 41.toByte, -124.toByte, 66.toByte, -54.toByte, -124.toByte, 0.toByte, 56.toByte, -18.toByte, 12.toByte, 94.toByte, 109.toByte, 50.toByte, -22.toByte, 115.toByte, 94.toByte, 74.toByte, 22.toByte), Coll[Byte](70.toByte, -77.toByte, 100.toByte, 10.toByte, 49.toByte, 115.toByte, -124.toByte, -67.toByte, -86.toByte, 80.toByte, -73.toByte, -92.toByte, 32.toByte, -49.toByte, -113.toByte, 54.toByte, -93.toByte, -72.toByte, 121.toByte, -2.toByte, 78.toByte, -52.toByte, 18.toByte, -74.toByte, -110.toByte, 74.toByte, -50.toByte, 69.toByte, -25.toByte, 53.toByte, 33.toByte, 35.toByte), Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](29.toByte, -20.toByte, -78.toByte, 79.toByte, 8.toByte, -7.toByte, -1.toByte, 21.toByte, 34.toByte, -74.toByte, 83.toByte, -91.toByte, 86.toByte, -114.toByte, 114.toByte, -35.toByte, 66.toByte, 77.toByte, -118.toByte, -104.toByte, 86.toByte, 31.toByte, 62.toByte, -49.toByte, 46.toByte, -20.toByte, -95.toByte, -126.toByte, 50.toByte, 37.toByte, -57.toByte, 105.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)), opt4.get)\n val tuple19 = box17.tokens(0)\n val box20 = OUTPUTS(2)\n val tuple21 = box20.tokens(0)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll12(0) == coll13(0), tuple14._1 == coll16, tuple14._2 == tuple15._2 - 1L, coll12.size == 2, box11.propositionBytes == SELF.propositionBytes, box11.value >= SELF.value)), allOf(Coll[Boolean](blake2b256(box17.propositionBytes) == func5(coll18(2)), tuple19._1 == coll16, tuple19._2 == 1L)), allOf(Coll[Boolean](blake2b256(box20.propositionBytes) == func5(coll18(4)), box20.value == byteArrayToLong(coll18(0).get.slice(1, 9)) + 1000000L, tuple21._1 == placeholder[Coll[Byte]](1), tuple21._2 == byteArrayToLong(coll18(1).get.slice(1, 9)))), blake2b256(INPUTS(0).propositionBytes) == func5(coll18(3))))\n )} else { false } }(b6), {(b9: Byte) => if (b9 == 7.toByte) { {(tuple11: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box13 = OUTPUTS(i7)\n val l14 = box13.value\n val l15 = SELF.value\n val coll16 = box13.propositionBytes\n val coll17 = SELF.bytesWithoutRef\n val coll18 = SELF.propositionBytes\n val i19 = SELF.creationInfo._1\n val coll20 = box13.bytesWithoutRef\n val i21 = box13.creationInfo._1\n allOf(Coll[Boolean](l14 >= l15 - 2000000L, blake2b256(coll16) == func5(func3(tuple11._2).getMany(Coll[Coll[Byte]](tuple11._1), opt4.getOrElse(Coll[Byte]()))(0)), coll17.slice(func8(l15) + coll18.size + func8(i19.toLong), coll17.size) == coll20.slice(func8(l14) + coll16.size + func8(i21.toLong), coll20.size), anyOf(Coll[Boolean](i21 - i19 >= 504000, coll18 != coll16))))\n )} }((Coll[Byte](8.toByte, 3.toByte, -121.toByte, 15.toByte, -57.toByte, -119.toByte, -94.toByte, -45.toByte, 34.toByte, 7.toByte, -85.toByte, -127.toByte, -4.toByte, -127.toByte, -12.toByte, 90.toByte, 68.toByte, 113.toByte, 31.toByte, 43.toByte, 88.toByte, 14.toByte, -10.toByte, -25.toByte, -46.toByte, 96.toByte, -11.toByte, 22.toByte, 64.toByte, 52.toByte, 77.toByte, 43.toByte), func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b6))))\n}",
"address": "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",
"assets": [
{
"tokenId": "18b3490e56396577d51c24a1927e635a46887b05826f4e00b130f8193fbdc82a",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4edf9bfb303190b9e6e62662583f9e501a42e4bff1d7f1b44b737ee8080833fe",
"mainChain": true
},
{
"boxId": "4b3176fc7f883ca0a7ee0baec0d306b7ebc8a5bd02fe143fa1a17f3bf1e7483a",
"transactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"value": 101000000,
"index": 2,
"globalIndex": 43412754,
"creationHeight": 1380519,
"settlementHeight": 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": {},
"spentTransactionId": "5a5810fe3d306a038e763f7e139174ff60e5a41eae18e74f459e709ddfc1fc75",
"mainChain": true
},
{
"boxId": "06ed97b0bd96551571d24f1d7331651429eeb621e61248fd1f6c02104f929d2e",
"transactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"value": 1000000,
"index": 3,
"globalIndex": 43412755,
"creationHeight": 1380519,
"settlementHeight": 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)",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(0)\n val box2 = INPUTS(0)\n val func3 = {(opt3: Option[Coll[Byte]]) => opt3.get.slice(1, 33) }\n val func4 = {(box4: Box) => box4.R4[AvlTree].get }\n val coll5 = func4(box1).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte\n ), Coll[Byte](\n -46.toByte, 74.toByte, -49.toByte, 66.toByte, 15.toByte, 5.toByte, -112.toByte, 35.toByte, -23.toByte, 116.toByte, 33.toByte, 0.toByte, -123.toByte, 30.toByte, -74.toByte, -83.toByte, -115.toByte, -104.toByte, 118.toByte, 19.toByte, -110.toByte, -75.toByte, -39.toByte, 118.toByte, 20.toByte, 59.toByte, 96.toByte, 8.toByte, -109.toByte, 23.toByte, 106.toByte, 7.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(0)._1 == placeholder[Coll[Byte]](0), blake2b256(box2.propositionBytes) == func3(coll5(0)), SELF.tokens(0)._1 == {(\n opt6: Option[Coll[Byte]]\n ) => opt6.get.slice(6, 38) }(func4(box2).getMany(Coll[Coll[Byte]](getVar[Coll[Byte]](2.toByte).get), getVar[Coll[Byte]](1.toByte).get)(0)), blake2b256(\n INPUTS(1).propositionBytes\n ) == func3(coll5(1))\n )\n )\n )\n}",
"address": "CQTrb4Djvzvc3nASJsSDffuVia3qcTP8vprRiCTrjYPU5UA67TpfU3vZQZjMovEaUhxRF8hD5tkTHKyRQRC3KE4iZZN7NtjmF4TmT6APv49i89XHFXGKxYC6K9V1PaLikM3PHiL6eRZ4FndT626mfEjxuHvyTv9dUkYBYRkPtURpRvthAZMUH2fTVxnR3f2ktvRVgwy24YCDhd6eHLnVkrKwoC3DHyYdWWVf6eip51cqgj9N8msitTCLZS2Pymxq5VGQo6Ljf1SCcdaFAx36bedNK71ybBspGLQLFph2EN2Q6YmMCHyfJg3v4BzdvQdcUVNjxqFCpEeo8Cuyz2vACfVf1JFXBxtaqB6kBDGT9wvFPJakmBM7CU9qYGJrfAE1dpb2joLkM91kVRkBKrwx9eNuTpAAxnvQs3PQMY2bKSsry5FjaV9Zyau45ayhMb8R6S3ejv6JgDYKUEdTq",
"assets": [
{
"tokenId": "308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71",
"index": 0,
"amount": 1,
"name": "Sigmanauts DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e125369676d616e617574732044414f204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e617574732044414f204b6579"
},
"R5": {
"serializedValue": "0e125369676d616e617574732044414f204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e617574732044414f204b6579"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "68a242a1ea8a1bc76ec299cf04b6180f20802a58cc2ad8830dc98e0c8e1e3209",
"mainChain": true
},
{
"boxId": "96b2c55d9c5c62d829a9283d49f7c0a5b95e29b3a2f6dbda43f1e304d6fd3b7c",
"transactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"blockId": "ff177a905ee4595767d1d59a929f6e01694b7d72c8c9c6e14788b6c82e67fab5",
"value": 1000000,
"index": 4,
"globalIndex": 43412756,
"creationHeight": 1380519,
"settlementHeight": 1380522,
"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": "b1dc24a583725df0f32a3f599edbf0b2fcfc243a7eee57d59d785881229ac66e",
"mainChain": true
}
],
"size": 5912,
"isUnconfirmed": false
}