Transaction
ID: 894d01fb6a...65e0
Inputs (4)
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:
0.840796014 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Unspent
Unspent
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Unspent
Address:
Settlement height:
Value:
0.788446014 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 176,491
Total coins transferred: 1.84 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000472 ERG
Raw Transaction Data
{
"id": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"inclusionHeight": 1587099,
"timestamp": 1754772239385,
"index": 4,
"globalIndex": 9328279,
"numConfirmations": 176491,
"inputs": [
{
"boxId": "4866135763e467b4217768f3f9744be54f48925a9bd6620adf0399665f71a2eb",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3a447bbbf4ec61b39844939d8eea0a626007f4083171d4ad2a1f67936de36fd9",
"outputTransactionId": "6f7378ad2f7ce6e8e189ff5ff997b26491e6599d2f71f7e4981fcbd7982cb262",
"outputIndex": 2,
"outputGlobalIndex": 49312136,
"outputCreatedAt": 1585186,
"outputSettledAt": 1585190,
"ergoTree": "10010e202dad2d0a5a27ff82518422b0cc6797e50a6e8275c90e95557fc0611b82e34819d80ed60183200202de02ae02cf025b026402ba02d602f50257020b02ad020a0261020c024e02480249025702cf0247028202300284020002bc02900240024c021d0214021002dad602d9010263e4c672020464d603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d604b2da7203018602db6501fe7300040000d605e3010ed606d9010632b4e4720604020442d607d9010763b2db63087207040000d608da720701a7d609b2da7203018602a58c720801040000d60ad9010a63b2db6308720a040200d60bd9010b0ed801d60ddc640bda72020172040283020e7201720be472059683020193b1dad9010e3c0c630eb58c720e01d901106393cbc272108c720e02018602a4da720601b2720d0402000402dad9010e0e9683030193cbc27209720e93da72070172097208938cda720a017209018cda720a01a70101da720601b2720d040000d60ce4e30002d60ddc0c1aa402a70400d60ed9010e05958f720e0580020402958f720e058080020404958f720e05808080020406958f720e0580808080020408958f720e05808080808002040a958f720e0580808080808002040c958f720e058080808080808002040e958f720e0580808080808080800204100412d197830801dad9010f029593720f0200da720b0183200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242010001720cdad9010f029593720f0202da720b01832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bd010001720cdad9010f029593720f0201da720b01832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280010001720cdad9010f029593720f0203da720b01832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c5010001720cdad9010f029593720f0204da720b018320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2010001720cdad9010f029593720f0205da720b01832002023a02110295025c0247021902e5028802bc02e602a70261021d022702bd021f02df02db02570238025c02ae02e2026602d80204020c0289024f021c022e021d010001720cdad9010f029593720f0206da720b0183200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e010001720cdad9010f029593720f0207dad901113c0e639592720db1a50100d809d613b2a5720d00d614c17213d615c1a7d616c27213d617c4a7d618c2a7d6198cc7a701d61ac47213d61b8cc772130196830401927214997215058092f40193cb7216da720601b2dc640bda7202018c7211020283010e8c721101e5720583000204000093b472179a9ada720e017215b17218da720e017e721905b17217b4721a9a9ada720e017214b17216da720e017e721b05b1721a978302019299721b72190480c33d947218721601860272017204010001720c",
"ergoTreeConstants": "0: Coll(45,-83,45,10,90,39,-1,-126,81,-124,34,-80,-52,103,-105,-27,10,110,-126,117,-55,14,-107,85,127,-64,97,27,-126,-29,72,25)",
"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": "a846b88f4997f80cee4b46168f356754cd8ba691afafe946434b6dd194f3bc10",
"index": 0,
"amount": 1,
"name": "Ergo Infra DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d60307bf89b791bb295ce413a6441d87804683f5d3d009c7e0ac2d1c1d6aa598",
"index": 1,
"amount": 1,
"name": "Ergo Infra DAO v1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c6fb96e89666000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1755408686819,0,0,0,0,0,0]"
},
"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": "949085357cdbac8a6b23836789382db3d11748565a0594008f36efb09894cf79",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3a447bbbf4ec61b39844939d8eea0a626007f4083171d4ad2a1f67936de36fd9",
"outputTransactionId": "6f7378ad2f7ce6e8e189ff5ff997b26491e6599d2f71f7e4981fcbd7982cb262",
"outputIndex": 4,
"outputGlobalIndex": 49312138,
"outputCreatedAt": 1585186,
"outputSettledAt": 1585190,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(45,-83,45,10,90,39,-1,-126,81,-124,34,-80,-52,103,-105,-27,10,110,-126,117,-55,14,-107,85,127,-64,97,27,-126,-29,72,25)\n1: Coll(-88,70,-72,-113,73,-105,-8,12,-18,75,70,22,-113,53,103,84,-51,-117,-90,-111,-81,-81,-23,70,67,75,109,-47,-108,-13,-68,16)",
"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": "11e5f0859cbe9cecfb1beaea80f41d28dbd77b909423267c5cdea3e584e0f5ca",
"value": 840796014,
"index": 2,
"spendingProof": "207e82b2fbcac48295bebde856b9b0896b125119addc080a05de0cacbaa911b03fd1c6493080c80e56ad8e12c1c185a5a8b667cff183a0e1",
"outputBlockId": "3dcdca01911ae412fd8dcc8b0579350471541bb619ad478984cf7ba8d93223d4",
"outputTransactionId": "ccedab84dbfe7c65dd92b5c56df9d9df32da0b9f46ee2da5150642ee27ec41de",
"outputIndex": 2,
"outputGlobalIndex": 48928454,
"outputCreatedAt": 1570197,
"outputSettledAt": 1570199,
"ergoTree": "0008cd02eef74b5f7bb2c6f9ff6597ae42ae119b3b5c9a0d456bcf6d95c4595e8c77f2b1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eef74b,a08f7a,...)))}",
"address": "9gLJadRydGQqVe94mHpqdh8a9bHCTHx6RuPjvMa7mn3XasmE6aV",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 22054012,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
"index": 1,
"amount": 81,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 2,
"amount": 497510000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 24695121958,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 4,
"amount": 3640063300,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 5,
"amount": 43000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 6,
"amount": 83,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "54248dcfac82e43ecf53285afbbebb573f246541b3840c627417fc7757e4af87",
"index": 7,
"amount": 1,
"name": "Expanding Duckpools.io",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4de9e7e628e4f473f954ee74c622033cf03005198293d0d2cd4ccc64288da17e",
"index": 8,
"amount": 1015835599700,
"name": "Satoshi",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 9,
"amount": 9487,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "16e31e44bcdb3b9be2843ce6ac871a1f073919c7260dab8e54b3e6f094619551",
"index": 10,
"amount": 949812383,
"name": "Testing Pool - QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "9eb50e89126acea8c95704ad2eba6834e716981650dbae4e43a09cede5570570",
"value": 1000000,
"index": 3,
"spendingProof": "8ba165fa1acc44fdd20e04efcff6acceec39a1ac87546f7a6ef9a3debd9897a1d12b252b2acf48501607d6e182149c971dea8ca488c8b0a8",
"outputBlockId": "dee691e63660437af0aa67c64f8ad467d364c3b8b5b8d38831378c05009ddf0c",
"outputTransactionId": "fe8d05a6a9bac9c75beb1d10269375fdabac3234efbff7a05949ed8b81a32128",
"outputIndex": 0,
"outputGlobalIndex": 49364311,
"outputCreatedAt": 1587083,
"outputSettledAt": 1587085,
"ergoTree": "0008cd02eef74b5f7bb2c6f9ff6597ae42ae119b3b5c9a0d456bcf6d95c4595e8c77f2b1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eef74b,a08f7a,...)))}",
"address": "9gLJadRydGQqVe94mHpqdh8a9bHCTHx6RuPjvMa7mn3XasmE6aV",
"assets": [
{
"tokenId": "d60307bf89b791bb295ce413a6441d87804683f5d3d009c7e0ac2d1c1d6aa598",
"index": 0,
"amount": 1,
"name": "Ergo Infra DAO v1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "119d328a16c338a5bfb846f5e05df7e7763f7a36a56b471ae2fc534c5877abd9",
"value": 1000000000,
"index": 0,
"outputBlockId": "3a447bbbf4ec61b39844939d8eea0a626007f4083171d4ad2a1f67936de36fd9",
"outputTransactionId": "6f7378ad2f7ce6e8e189ff5ff997b26491e6599d2f71f7e4981fcbd7982cb262",
"outputIndex": 1,
"ergoTree": "10010e2010c8c2c54f6d894b8b506fef4cacd6a0562a394fc47a95d2cbce2cb8d6dd92b7d808d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d602d9010263e4c672020464d60383200202a90255028e0241028602cb02d502aa0257022302a8025202d402c102dc0265027d029e02810243028202ff0288028d025a028a02ec0252021502310230021dd604e3010ed605d9010532b4e4720504020442d606e4e30002d607dc0c1aa402a70400d608d9010805958f72080580020402958f7208058080020404958f720805808080020406958f72080580808080020408958f720805808080808002040a958f72080580808080808002040c958f7208058080808080808002040e958f72080580808080808080800204100412d197830201dad9010902959372090208d802d60bb2da7201018602a5dad9010b638cb2db6308720b0400000101a7040000d60cdc640bda720201720b0283020e7203cbb3831c020269026d022e0270026102690264026502690261022e0263026f026e027402720261026302740273022e0261026302740269026f026e022ec2b2da7201018602a47300040000e472049683040193db6308a7db6308720b90c1a7c1720b93cbc2720bda720501b2720c040000e6b2720c0402000100017206ed9372060207dad901093c0e6395927207b1a50100d809d60bb2a5720700d60cc1720bd60dc1a7d60ec2720bd60fc4a7d610c2a7d6118cc7a701d612c4720bd6138cc7720b019683040192720c99720d058092f40193cb720eda720501b2dc640bda7202018c7209020283010e8c720901e5720483000204000093b4720f9a9ada720801720db17210da7208017e721105b1720fb472129a9ada720801720cb1720eda7208017e721305b17212978302019299721372110480c33d947210720e0186027203a7",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64b446f12765327f792776495f30c14d730f00e2c27d21d56caada47184695c78f06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "74cc745f9aa41d4615a1717762a8e20fb39cbe2e4359d057f5c22e2c30342bdd",
"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"value": 1000000000,
"index": 0,
"globalIndex": 49364650,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(45,-83,45,10,90,39,-1,-126,81,-124,34,-80,-52,103,-105,-27,10,110,-126,117,-55,14,-107,85,127,-64,97,27,-126,-29,72,25)",
"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}",
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"assets": [
{
"tokenId": "a846b88f4997f80cee4b46168f356754cd8ba691afafe946434b6dd194f3bc10",
"index": 0,
"amount": 1,
"name": "Ergo Infra DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d60307bf89b791bb295ce413a6441d87804683f5d3d009c7e0ac2d1c1d6aa598",
"index": 1,
"amount": 2,
"name": "Ergo Infra DAO v1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c6fb96e89666020200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1755408686819,1,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
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"sigmaType": null,
"renderedValue": null
},
"R4": {
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"renderedValue": null
}
},
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"mainChain": true
},
{
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"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
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"value": 1000000,
"index": 1,
"globalIndex": 49364651,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"ergoTree": "10020e202dad2d0a5a27ff82518422b0cc6797e50a6e8275c90e95557fc0611b82e348190e20a846b88f4997f80cee4b46168f356754cd8ba691afafe946434b6dd194f3bc10d816d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d6027301d603b2da7201018602a57202040000d604b2da7201018602a47202040000d605d9010563d801d607db63087205b472070404b17207d606d9010663b2e4c67206040c64040200d607d9010763b2e4c672070511040000d608d9010863b2e4c672080511040600d609d9010963b2e4c672090511040800d60ad9010a63d801d60ce4c6720a0511b4720c040ab1720cd60bd9010b63e4c6720b061dd60cd9010c63e4c6720c070c3c6464d60dd9010d63e4c6720d0811d60ec5b2a4040000d60fe4e3010c3c0e0ed610b2720f040000d6118c721002d612dad901120e7cb4721204100420017211d613d9011363b2db63087213040200d614d9011463b2e4c672140511040200d615d9011563b2e4c67215040c64040000d616d9011663b2e4c672160511040400d196830b0196830a0192c17203c1720493da7205017203da720501720493da7206017203da720601720493da7207017203da720701720493da7208017203da720801720493da7209017203da720901720493da720a017203da720a01720493da720b017203da720b01720493da720c017203da720c01720493da720d017203da720d01720493720e8c72100193dad901173c0c630eb0dc0c0f8c72170101d9011963db630872190500d90119414d0ed801d61b8c7219029a8c72190195938c721b018c7217028c721b020500018602a5720e0502ed937212998cda7213017203028cda72130172040293721299da7214017203da721401720493b1720f040293db6401e4dc640cda721501720402720fe4e3020edb6401da7215017203afdad901170eaddb0c0eb4721704009d99b1721704200410d9011904d801d61b9c721904107cb472179a721b04209a9a721b04100420017211d9011705937217050092c1b2dad901173c0c630eb58c721701d901196393cbc272198c721702018602a5dad9011732b4e472170402044201b2dc640bdad9011763e4c67217046401b2da7201018602db6501fe73000400000283010e83200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242e4e3000e040000040000c1a7939ada72160172040502da721601720393dad901170e7cb472170400041001721105009172120500",
"ergoTreeConstants": "0: Coll(45,-83,45,10,90,39,-1,-126,81,-124,34,-80,-52,103,-105,-27,10,110,-126,117,-55,14,-107,85,127,-64,97,27,-126,-29,72,25)\n1: Coll(-88,70,-72,-113,73,-105,-8,12,-18,75,70,22,-113,53,103,84,-51,-117,-90,-111,-81,-81,-23,70,67,75,109,-47,-108,-13,-68,16)",
"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": null,
"mainChain": true
},
{
"boxId": "cb259b0403fe17123d9a3e070eb5f3bfcec484119921d69f607de3e643931719",
"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"value": 1000000,
"index": 2,
"globalIndex": 49364652,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"ergoTree": "0008cd02eef74b5f7bb2c6f9ff6597ae42ae119b3b5c9a0d456bcf6d95c4595e8c77f2b1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eef74b,a08f7a,...)))}",
"address": "9gLJadRydGQqVe94mHpqdh8a9bHCTHx6RuPjvMa7mn3XasmE6aV",
"assets": [
{
"tokenId": "4866135763e467b4217768f3f9744be54f48925a9bd6620adf0399665f71a2eb",
"index": 0,
"amount": 1,
"name": "Ergo Infra DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e194572676f20496e6672612044414f204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "4572676f20496e6672612044414f204d656d62657273686970"
},
"R5": {
"serializedValue": "0e3c4572676f20496e6672612044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "4572676f20496e6672612044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "a0bb682eb072b7eaa2e3edf596cbc41c01bcddab607fc003021bc9a997e8bfcf",
"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"value": 50000000,
"index": 3,
"globalIndex": 49364653,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2e8ad36d9feac22306e9924c4d793da93404796e30e6dea7a9747e96a1388585",
"mainChain": true
},
{
"boxId": "6c502d8ac257796ba48ea8a44abc8fa39e15f1267faeeb6c42bf0bd53dfbfc07",
"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"value": 2350000,
"index": 4,
"globalIndex": 49364654,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"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": "f9c8bc848eaeaf54df463f5049756338d6ab11976f81f839d8f6a9fbfffe91e3",
"mainChain": true
},
{
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"transactionId": "894d01fb6ab311fcecf7c8e620b7b576e5b616722dde5ba4cbd7a35408d765e0",
"blockId": "f77d2fbc3c87a37521d8895136f925c1c1f3040c982b9cf3bacd96d3781855e5",
"value": 788446014,
"index": 5,
"globalIndex": 49364655,
"creationHeight": 1587096,
"settlementHeight": 1587099,
"ergoTree": "0008cd02eef74b5f7bb2c6f9ff6597ae42ae119b3b5c9a0d456bcf6d95c4595e8c77f2b1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eef74b,a08f7a,...)))}",
"address": "9gLJadRydGQqVe94mHpqdh8a9bHCTHx6RuPjvMa7mn3XasmE6aV",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 22054012,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
"index": 1,
"amount": 81,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 497510000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 24695121958,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 4,
"amount": 3640063300,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 43000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 83,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "54248dcfac82e43ecf53285afbbebb573f246541b3840c627417fc7757e4af87",
"index": 7,
"amount": 1,
"name": "Expanding Duckpools.io",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4de9e7e628e4f473f954ee74c622033cf03005198293d0d2cd4ccc64288da17e",
"index": 8,
"amount": 1015835599700,
"name": "Satoshi",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 9487,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "16e31e44bcdb3b9be2843ce6ac871a1f073919c7260dab8e54b3e6f094619551",
"index": 10,
"amount": 949812383,
"name": "Testing Pool - QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
}
],
"size": 4978,
"isUnconfirmed": false
}