Transaction
ID: 32479a184c...4f73
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
8.28 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4 ERG
Tokens:
200
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
12.23 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 153,304
Total coins transferred: 13.28 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000454 ERG
Raw Transaction Data
{
"id": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"inclusionHeight": 1606396,
"timestamp": 1757121666544,
"index": 6,
"globalIndex": 9441877,
"numConfirmations": 153304,
"inputs": [
{
"boxId": "3204f5cea36e3d3628cdc3708bfe55f23309fcfbe56c8d3a0e74a57b583dc921",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d792e56b8d2c551edd3736778b7f50bba88cc360ac316d138d5b0d1eb9570ccf",
"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 2,
"outputGlobalIndex": 49894688,
"outputCreatedAt": 1606210,
"outputSettledAt": 1606212,
"ergoTree": "10010e205215a04d444cb97237e8f982a01b1f137595c77d737bcc7784a2ca44811519b6d80ed60183200202de02ae02cf025b026402ba02d602f50257020b02ad020a0261020c024e02480249025702cf0247028202300284020002bc02900240024c021d0214021002dad602d9010263e4c672020464d603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d604b2da7203018602db6501fe7300040000d605e3010ed606d9010632b4e4720604020442d607d9010763b2db63087207040000d608da720701a7d609b2da7203018602a58c720801040000d60ad9010a63b2db6308720a040200d60bd9010b0ed801d60ddc640bda72020172040283020e7201720be472059683020193b1dad9010e3c0c630eb58c720e01d901106393cbc272108c720e02018602a4da720601b2720d0402000402dad9010e0e9683030193cbc27209720e93da72070172097208938cda720a017209018cda720a01a70101da720601b2720d040000d60ce4e30002d60ddc0c1aa402a70400d60ed9010e05958f720e0580020402958f720e058080020404958f720e05808080020406958f720e0580808080020408958f720e05808080808002040a958f720e0580808080808002040c958f720e058080808080808002040e958f720e0580808080808080800204100412d197830801dad9010f029593720f0200da720b0183200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242010001720cdad9010f029593720f0202da720b01832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bd010001720cdad9010f029593720f0201da720b01832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280010001720cdad9010f029593720f0203da720b01832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c5010001720cdad9010f029593720f0204da720b018320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2010001720cdad9010f029593720f0205da720b01832002023a02110295025c0247021902e5028802bc02e602a70261021d022702bd021f02df02db02570238025c02ae02e2026602d80204020c0289024f021c022e021d010001720cdad9010f029593720f0206da720b0183200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e010001720cdad9010f029593720f0207dad901113c0e639592720db1a50100d809d613b2a5720d00d614c17213d615c1a7d616c27213d617c4a7d618c2a7d6198cc7a701d61ac47213d61b8cc772130196830401927214997215058092f40193cb7216da720601b2dc640bda7202018c7211020283010e8c721101e5720583000204000093b472179a9ada720e017215b17218da720e017e721905b17217b4721a9a9ada720e017214b17216da720e017e721b05b1721a978302019299721b72190480c33d947218721601860272017204010001720c",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)",
"ergoTreeScript": "{\n val coll1 = 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 )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3b7fb49bc0a262ea890df52483fafe4b59bd376bb6788452796c13ae083b6f50",
"index": 0,
"amount": 1,
"name": "Autolykos Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 1,
"amount": 1,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110788e6afbbd966000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1764354292100,0,0,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "b043689ff7c71a107a1c8f7bca62a4b6c038c4eadd9876b602db1fe826a16f34",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d792e56b8d2c551edd3736778b7f50bba88cc360ac316d138d5b0d1eb9570ccf",
"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 4,
"outputGlobalIndex": 49894690,
"outputCreatedAt": 1606210,
"outputSettledAt": 1606212,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "e4bad41bb28263220611258e091242fff637ed6c7f12c33e630b377f2570a46d",
"value": 1000000,
"index": 2,
"spendingProof": "2544fc88f1ea5f6c426da1c9f0da3d3267dca7a921b2df78784b8c2def15c6747f7e01de892e112058687d76e5c726e997153e88fbe8c7f2",
"outputBlockId": "3d26f0d9670b10077825c186a2da66514a664205f2b2bef3b75e7e6f3fd38b92",
"outputTransactionId": "a4a816ad50a3de4441cbeaf53ca022e594d7ec73b395a303e50bf1dac38a16c5",
"outputIndex": 2,
"outputGlobalIndex": 49898194,
"outputCreatedAt": 1606384,
"outputSettledAt": 1606386,
"ergoTree": "0008cd02d3830798ad2e2e0343f06d54d2672a36745f613558d9bd87785e51722ecba86b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d38307,1f1526,...)))}",
"address": "9g8DJQh5kZF8faEDtyqyVX5bwjqmCPu4p5QvEuoGMVHgAhoeCWr",
"assets": [
{
"tokenId": "d31a913c625e83984201c26799f88ea09fe3e1b79f2e13536068a9baa956a348",
"index": 0,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "a4d8b28d097476613f03a8f63e85bfd3f51b577900cc22eb8adc8b24eb05cf63",
"value": 8282344581,
"index": 3,
"spendingProof": "f9bb313a4473aed6a9fc7e1459aa988b31e0424269564aaac655a4a4acece67c57b8fe249a98d5a2c3ac51f2a8c39f27c4181ef6cdab526a",
"outputBlockId": "3d26f0d9670b10077825c186a2da66514a664205f2b2bef3b75e7e6f3fd38b92",
"outputTransactionId": "a4a816ad50a3de4441cbeaf53ca022e594d7ec73b395a303e50bf1dac38a16c5",
"outputIndex": 5,
"outputGlobalIndex": 49898197,
"outputCreatedAt": 1606384,
"outputSettledAt": 1606386,
"ergoTree": "0008cd02d3830798ad2e2e0343f06d54d2672a36745f613558d9bd87785e51722ecba86b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d38307,1f1526,...)))}",
"address": "9g8DJQh5kZF8faEDtyqyVX5bwjqmCPu4p5QvEuoGMVHgAhoeCWr",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 90354000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
"index": 1,
"amount": 1,
"name": "ErgoHack VIII DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ef0423fa6840de2f921e08c9698baaf9b84d34612db9e507f5b4033425ed7a7",
"index": 2,
"amount": 251050000,
"name": "BEPOS",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "706fb118782c421b0b00e01e5403efb64b68e31e01048dc398f3a143eaa05b26",
"index": 3,
"amount": 1000000000000,
"name": "tERG",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "837bc17349093984f9b91a59d9a331940c4f521be531a0a3c7bb82dda3a322f9",
"index": 4,
"amount": 999986,
"name": "GraymanCan",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f3ad0c625e63a784f42355edbee61344b012caaeab478142aa9a87e147c9533e",
"index": 5,
"amount": 1000000,
"name": "tSigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "e49fe717b7ce0f401ba0d3cc9c1b8c6cfd8d2b92ebb69458d9e3adbdb9258a10",
"index": 6,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "884153a90d0caf9630ae68e0509dbf6325c23117665c3dd4abdb4aecc707bd28",
"index": 7,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 8,
"amount": 100000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "c07bde48465708577d0e0b401300245987d297de2a6004116c825ba09dd26b7d",
"index": 9,
"amount": 10000,
"name": "tSigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "50eab1afc495420c17c0df5154584cf09d9167263fffc99c25e3e0ae4b26fe00",
"index": 10,
"amount": 10000000000,
"name": "tSPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 11,
"amount": 50000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 12,
"amount": 200000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "3503ba6ce5d8bc1332229284c95fff15cf3c1d0b463fdfd6f3c9b57b7af09fe3",
"index": 13,
"amount": 1,
"name": "Good Things DAO Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0abc6e76a09ad503acb8854fb998bede176894ed1a71911b996efda357fb8540",
"value": 4000000000,
"index": 4,
"spendingProof": "1ada45e1931bef2fd2e44bd16c98f57f604c9d4ab4d1b9d9a1850c681a893ac85e8c79ee30665da11e194c1930aeb6a230e5a964e048f1e9",
"outputBlockId": "1fcc287b8b5907e5a495497dceb41407d2bd384693b92e5ad4ae804a14d0de80",
"outputTransactionId": "ba321d88fdd340670e73c8d6b7a2c5575c5a35fbb2b559560aa84b5b16b069fd",
"outputIndex": 0,
"outputGlobalIndex": 49898378,
"outputCreatedAt": 1606391,
"outputSettledAt": 1606392,
"ergoTree": "0008cd02d3830798ad2e2e0343f06d54d2672a36745f613558d9bd87785e51722ecba86b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d38307,1f1526,...)))}",
"address": "9g8DJQh5kZF8faEDtyqyVX5bwjqmCPu4p5QvEuoGMVHgAhoeCWr",
"assets": [
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 0,
"amount": 20000,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "564d22d9e8f4e8de50517fa78c9556cf6d4f575c1610861ce9822968f7d44383",
"value": 1000000000,
"index": 0,
"outputBlockId": "d792e56b8d2c551edd3736778b7f50bba88cc360ac316d138d5b0d1eb9570ccf",
"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 1,
"ergoTree": "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",
"address": "GcZsF8e2JY4vf3a1Gb3iftn1NBW7PNiQzHgui56isuf7xTy5rgmd5FY3MngGrH3m4e6kU5vfMC8uNtL6auxX8ySv6sFb4s2vVn7pVg1XG382UbAho2ZGbxVGde8xyT5oxu5AujX64fiZmHvq72JZUr2o9xRwyoVTTE5XWAAZBFBG2WTDkDexZFYQQ8KhyjaPfCwvUxGr4apAkFHRQWZ5pn5z2EboRJDgYBadAjRsPWDnHrztzWGqhY42oaGmRCjwFdAzEX6mMhWpmA6YrUTjYZKyMxkwv8WCGJy71CDzjLdrxxwLSBnW6ZutCs5MJG4GqM61ka8925qxwrLst35HgBhWqN7NiFUVRywYUVJh6EdV3xik7ouuAchMxfJQhuAbKXr4R5gSzHTyA7ALWKHeECGWLDps33SZaeXxznGi7itCZ39apELZrpG1ZyJcszoZh7R279JdVh3RGygMZ4qFM1iFqpb6MVcXnn2jWEkUgVnvMJD3VagJXxRpHpS7GDggim7DAdFzLGEw2a8MPq43FCV9TWba6WkxUHW4j25kSi1ict1kfGWDdXqtbBVwEGjBErFbzZPhEGz1MP7FPNyGtxYH5BHWGj7fh1F8cT4uSpgxW7HF855cYsCGKM9ZgS5CbSdL6N1BtzbZdKExNCBgTn9neaiEwSv2U95HLDyzx64shiRNUzAFrvMeMP3pWGbJtmhLdhREA6ohGPeU6tUsshh5gkTRYk1gXgDwYhcHg1jn5gRt8YdHSx4oaTM1FdMbZQ1SodunVa8PxgFPPFV1qEcxcBK92zAtkm4t6aZ3VPf4LZDciU8kjFv2toLJXSbhkmBk2swXvS4N7A9JZczc8tVzskgdr5yNu411zJGB1aHxiVQHvQkiioUfm2q3dbhzoDV3AEzjnwrE5LfH4MqcuT7G7ZGUmEhkFMn2fYDqkXH49uUJ9j7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "644e21f9ad79f08e5f98666a3edc24c9e7666010ef45ebe3a209bffa170e14a76406072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "444c1aaf08fde0dda7f9305dc038e9034d1487354df7fb8f4dce768bd427bc77",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 1000000000,
"index": 0,
"globalIndex": 49898513,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)",
"ergoTreeScript": "{\n val coll1 = 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 )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3b7fb49bc0a262ea890df52483fafe4b59bd376bb6788452796c13ae083b6f50",
"index": 0,
"amount": 1,
"name": "Autolykos Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 1,
"amount": 19991,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110788e6afbbd966acb8020200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1764354292100,19990,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64027851b907849d5322fc6441b7ae49ab1ee7e85e46fa7923fab6922ce0e13af6e0010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "ac40b2fa84cb8f54af4bd3ac9211fc3bde903d028d1d01d75b4a1472e4f1cb02",
"mainChain": true
},
{
"boxId": "18f955a71d7c3a7f0f06fc72680d3dd9612ec2e2667cf064a1bdd40a72badbeb",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 1000000,
"index": 1,
"globalIndex": 49898514,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ac40b2fa84cb8f54af4bd3ac9211fc3bde903d028d1d01d75b4a1472e4f1cb02",
"mainChain": true
},
{
"boxId": "a0b83bfcea4e4bc334993463fc5d9a3be0f2ee3fdafe917c25365e37b537f44e",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 1000000,
"index": 2,
"globalIndex": 49898515,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"ergoTree": "0008cd02d3830798ad2e2e0343f06d54d2672a36745f613558d9bd87785e51722ecba86b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d38307,1f1526,...)))}",
"address": "9g8DJQh5kZF8faEDtyqyVX5bwjqmCPu4p5QvEuoGMVHgAhoeCWr",
"assets": [
{
"tokenId": "3204f5cea36e3d3628cdc3708bfe55f23309fcfbe56c8d3a0e74a57b583dc921",
"index": 0,
"amount": 1,
"name": "Autolykos Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e144175746f6c796b6f73204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "4175746f6c796b6f73204d656d62657273686970"
},
"R5": {
"serializedValue": "0e374175746f6c796b6f73202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "4175746f6c796b6f73202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "2b6bb899fdef113c98bb0f5d5d2043a06a148ac13e885cf0c7023ce653d121a7",
"mainChain": true
},
{
"boxId": "27bad25f139ba54e0a8722fb9bd756be1a2065abf5ff5031b7e0c48cbfd932f2",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 50000000,
"index": 3,
"globalIndex": 49898516,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "1ded3ac3cfecdc363f3d9d1e54693e3b8ebc63bfc47984f1e7dc6e237d935584",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 2350000,
"index": 4,
"globalIndex": 49898517,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"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": "b68c69b5298fad60f078bd0d5c69156d01d5d85fded7af5462ecb01d0a1cd948",
"mainChain": true
},
{
"boxId": "292aecb3a372eaaa9e278a7afb5aedc970e62067132a3a342da7ca09c87e1024",
"transactionId": "32479a184cdf81bc33cbbb0ece1a19a7a2c33174f1beed373354f5e82e024f73",
"blockId": "c46b289e43a2c85fb4508aa7bbac678f228656c89dceceb830fdb6ccb0c4113d",
"value": 12229994581,
"index": 5,
"globalIndex": 49898518,
"creationHeight": 1606395,
"settlementHeight": 1606396,
"ergoTree": "0008cd02d3830798ad2e2e0343f06d54d2672a36745f613558d9bd87785e51722ecba86b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d38307,1f1526,...)))}",
"address": "9g8DJQh5kZF8faEDtyqyVX5bwjqmCPu4p5QvEuoGMVHgAhoeCWr",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 90354000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
"index": 1,
"amount": 1,
"name": "ErgoHack VIII DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ef0423fa6840de2f921e08c9698baaf9b84d34612db9e507f5b4033425ed7a7",
"index": 2,
"amount": 251050000,
"name": "BEPOS",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1000000000000,
"name": "tERG",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 999986,
"name": "GraymanCan",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 1000000,
"name": "tSigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 100000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 10000,
"name": "tSigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 10000000000,
"name": "tSPF",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 50000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
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"index": 12,
"amount": 200000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "3503ba6ce5d8bc1332229284c95fff15cf3c1d0b463fdfd6f3c9b57b7af09fe3",
"index": 13,
"amount": 1,
"name": "Good Things DAO Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d31a913c625e83984201c26799f88ea09fe3e1b79f2e13536068a9baa956a348",
"index": 14,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 10,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2b6bb899fdef113c98bb0f5d5d2043a06a148ac13e885cf0c7023ce653d121a7",
"mainChain": true
}
],
"size": 5172,
"isUnconfirmed": false
}