Transaction
ID: 6efd0e4c93...2bf7
Inputs (6)
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:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
953.69 ERG
Tokens:
Loading assets...
Outputs (7)
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:
0.005 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:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00185 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
953.64 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 296,089
Total coins transferred: 954.7 ERG
Fees: 0.00185 ERG
Fees per byte: 0.000000169 ERG
Raw Transaction Data
{
"id": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"inclusionHeight": 1468576,
"timestamp": 1740427592314,
"index": 9,
"globalIndex": 8628624,
"numConfirmations": 296089,
"inputs": [
{
"boxId": "fda8777ef9a77420f29172e0281b66809c9feaf5c1767985af2e7de0d4aa3bf9",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "31e4de760370901731db5d447354af3d83ddb8d61f7885ee2381949683a38d8c",
"outputTransactionId": "33617662940271a99c0e6133ef8992a7ef061d8ba7f3536e96c9a3616661a476",
"outputIndex": 0,
"outputGlobalIndex": 46470821,
"outputCreatedAt": 1468568,
"outputSettledAt": 1468570,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)",
"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": "f84c0ea072a10da0ab04c01695ddad3f8d44e125fc238c9afe8c0483e5106cc8",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 10,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d65121202020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,9,9,1,1,0,0]"
},
"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": "0c640266522d87904b0191467d426c4b08a247e1d19d679c8eb9ff3c9875adbe1161dd0407200026c77196bbb1aa7c716bd25390cfbf565d01c0633542b3f0d8e9d693da63313c01072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "6d59b2d4416fc5054c8ef5aefc0001f6014bc83a1a540c029285f8706118222b",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "116b41dc344758df0c9e377231cad687366c72af4349fca5c2ae8b87cfce9383",
"outputTransactionId": "988ea16de22f956d44c20c9e0e85375e7046367c2920a4ee7ccefc651ce3bce6",
"outputIndex": 1,
"outputGlobalIndex": 46470575,
"outputCreatedAt": 1468554,
"outputSettledAt": 1468556,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val coll1 = getVar[Coll[Coll[Byte]]](0.toByte).get\n val coll2 = {(box2: Box) => box2.R4[AvlTree].get }(CONTEXT.dataInputs(0)).getMany(\n Coll[Coll[Byte]](\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 ), Coll[Byte](\n 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\n )\n ), coll1(0)\n )\n val coll3 = coll1(9)\n val func4 = {(tuple4: (Coll[Box], Coll[Byte])) =>\n tuple4._1.filter({(box6: Box) => box6.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == tuple4._2 }) })\n }\n val coll5 = placeholder[Coll[Byte]](1)\n val box6 = func4((OUTPUTS, coll5))(0)\n val box7 = func4((INPUTS, coll5))(0)\n val func8 = {(box8: Box) => box8.R4[Coll[AvlTree]].get(0) }\n val avlTree9 = func8(box7)\n val box10 = func4((INPUTS, {(opt10: Option[Coll[Byte]]) => opt10.get.slice(6, 38) }(coll2(1))))(0)\n val coll11 = avlTree9.get(coll3, coll1(2)).get\n val coll12 = longToByteArray(\n max({(box12: Box) => box12.R5[Coll[Long]].get(0) }(box10), {(coll12: Coll[Byte]) => byteArrayToLong(coll12.slice(0, 8)) }(coll11))\n ).append(coll11.slice(8, coll11.size))\n val func13 = {(box13: Box) => box13.R4[Coll[AvlTree]].get(1) }\n val avlTree14 = func13(box7)\n val opt15 = avlTree14.get(coll3, coll1(4))\n val bool16 = opt15.isDefined\n val opt17 = {(box17: Box) => box17.R6[AvlTree].get }(box10).get(coll3, coll1(1))\n val bool18 = opt17.isDefined\n val l19 = if (bool16) { byteArrayToLong(opt15.get.slice(0, 8)) } else { 0L }\n val l20 = if (bool18) { l19 } else { l19 + 1L }\n val l21 = if (bool16) { byteArrayToLong(opt15.get.slice(8, 16)) } else { 0L }\n val coll22 = coll1(8)\n val l23 = coll22.indices.slice(0, coll22.size / 8).map({(i23: Int) => byteArrayToLong(coll22.slice(i23 * 8, i23 + 1 * 8)) }).fold(\n 0L, {(tuple23: (Long, Long)) => tuple23._1 + tuple23._2 }\n )\n val l24 = if (bool18) {(\n val coll24 = opt17.get\n max(\n l21 - coll24.indices.slice(0, coll24.size / 8).map({(i25: Int) => byteArrayToLong(coll24.slice(i25 * 8, i25 + 1 * 8)) }).fold(\n 0L, {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }\n ) + l23, 0L\n )\n )} else { l21 + l23 }\n val coll25 = longToByteArray(l20).append(longToByteArray(l24))\n val coll26 = coll1(5)\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(0) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(1) }\n val func29 = {(box29: Box) => box29.R5[Coll[Long]].get(2) }\n val func30 = {(box30: Box) => box30.R5[Coll[Long]].get(3) }\n val func31 = {(box31: Box) => box31.R5[Coll[Long]].get(4) }\n val func32 = {(box32: Box) =>\n val coll34 = box32.R5[Coll[Long]].get\n coll34.slice(5, coll34.size)\n }\n val func33 = {(box33: Box) => box33.R6[Coll[Coll[Long]]].get }\n val func34 = {(box34: Box) => box34.R7[Coll[(AvlTree, AvlTree)]].get }\n val func35 = {(box35: Box) => box35.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple36: (Coll[Box], Coll[Byte])) => tuple36._1.filter({(box38: Box) => blake2b256(box38.propositionBytes) == tuple36._2 }) }(\n (OUTPUTS, {(opt36: Option[Coll[Byte]]) => opt36.get.slice(1, 33) }(coll2(0)))\n )(0).value >= SELF.value, {(tuple36: (Coll[Box], Coll[Byte])) =>\n tuple36._1.exists({(box38: Box) => box38.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == tuple36._2 }) })\n }((OUTPUTS, coll3)), allOf(\n Coll[Boolean](\n box6.value == box7.value, box6.tokens == box7.tokens, func8(box6).digest == avlTree9.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll3, coll12)), coll1(3)\n ).get.digest, func13(box6).digest == if (bool16) { avlTree14.update(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get } else {\n avlTree14.insert(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get\n }.digest, func27(box6) == func27(box7), func28(box6) == func28(box7), func29(box6) == func29(box7), func30(box6) == func30(\n box7\n ) + l20 - l19, func31(box6) == func31(box7) + l24 - l21, func32(box6) == func32(box7), func33(box6) == func33(box7), func34(box6) == func34(\n box7\n ), func35(box6) == func35(box7)\n )\n ), coll1(6) == coll12, coll1(7) == coll25\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "7b5ac0dcaeac5044ec7893e4292f9a39fa31aa93b4e51e25c198376754327029",
"value": 5000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "116b41dc344758df0c9e377231cad687366c72af4349fca5c2ae8b87cfce9383",
"outputTransactionId": "988ea16de22f956d44c20c9e0e85375e7046367c2920a4ee7ccefc651ce3bce6",
"outputIndex": 2,
"outputGlobalIndex": 46470576,
"outputCreatedAt": 1468554,
"outputSettledAt": 1468556,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val b4 = getVar[Byte](0.toByte).get\n val func5 = {(box5: Box) =>\n val coll7 = box5.R5[Coll[Long]].get\n coll7.slice(2, coll7.size)\n }\n val opt6 = getVar[(Int, Long)](10.toByte)\n val tuple7 = (-2, 0L)\n val tuple8 = tuple7\n val tuple9 = opt6.getOrElse(tuple8)\n val i10 = tuple9._1\n val l11 = tuple9._2\n val func12 = {(tuple12: (Coll[Box], Coll[Byte])) => tuple12._1.filter({(box14: Box) => blake2b256(box14.propositionBytes) == tuple12._2 }) }\n val func13 = {(box13: Box) => box13.R4[Coll[Int]].get(0) }\n val func14 = {(box14: Box) => box14.R5[Coll[Long]].get(1) }\n val func15 = {(box15: Box) => box15.R6[AvlTree].get }\n val func16 = {(box16: Box) => box16.R4[Coll[Int]].get(1) }\n val coll17 = placeholder[Coll[Byte]](3)\n val func18 = {(tuple18: (Coll[Box], Coll[Byte])) =>\n tuple18._1.filter({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == tuple18._2 }) })\n }\n val func19 = {(box19: Box) => box19.R4[AvlTree].get }\n val func20 = {(tuple20: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple22 = tuple20._2\n val l23 = tuple22._1\n val tuple24 = tuple22._2\n val l25 = tuple24._1\n val l26 = tuple24._2\n tuple20._1.map({(coll27: Coll[Byte]) => if (coll27.size == 9) {(\n val l29 = byteArrayToLong(coll27.slice(1, 9))\n if (l29 < l23) { l23 } else { if (l29 > l25) { l25 } else { l29 } }\n )} else { l26 } }).getOrElse(l26)\n }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(0) }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b22: Byte) =>\n if (b22 == 12.toByte) {\n {(coll24: Coll[Coll[Byte]]) =>\n allOf(\n Coll[Boolean](\n preHeader3.height - SELF.creationInfo._1 > 788400, coll24.forall({(coll26: Coll[Byte]) => !func2((OUTPUTS, coll26)) }), INPUTS.size == 1\n )\n )\n }(Coll[Coll[Byte]](func1(SELF)._1))\n } else { false }\n }(b4), {(b22: Byte) => if (b22 == 13.toByte) {(\n val coll24 = func5(SELF)\n val coll25 = SELF.propositionBytes\n val box26 = func12((OUTPUTS, blake2b256(coll25)))(0)\n val l27 = box26.value\n val l28 = func14(SELF)\n val coll29 = CONTEXT.dataInputs\n val coll30 = Coll[Byte]()\n val coll31 = func19(func18((coll29, placeholder[Coll[Byte]](0)))(0)).getMany(Coll[Coll[Byte]](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), 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)), getVar[Coll[Byte]](1.toByte).getOrElse(coll30))\n val tuple32 = (1L, (999L, 500L))\n val opt33 = opt6\n val tuple34 = tuple7\n val tuple35 = tuple8\n val tuple36 = tuple9\n val coll37 = func19(func18((coll29, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.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)), getVar[Coll[Byte]](2.toByte).getOrElse(coll30))\n val box38 = func12((OUTPUTS, {(opt38: Option[Coll[Byte]]) => opt38.get.slice(1, 33) }(coll37(1))))(0)\n allOf(Coll[Boolean]((coll24.indices.forall({(i39: Int) => if (i39 == i10) { coll24(i39) == l11 } else { coll24(i39) <= l11 } }) && (coll24.size > i10)) && (i10 >= 0), allOf(Coll[Boolean](box26.propositionBytes == coll25, l27 >= SELF.value - 3000000L, l27 >= 2000000L, func1(box26) == func1(SELF), func13(box26) == func13(SELF), func14(box26) == l28, func5(box26) == coll24, func15(box26) == func15(SELF), func16(box26) == if ((l28 >= {(box39: Box) => box39.R5[Coll[Long]].get(1) }(func18((coll29, coll17))(0)) * func20((coll31(0), tuple32)) / 1000L) && \n val l39 = l11\n l39 >= l28 * func20((coll31(1), tuple32)) / 1000L\n ) { i10 } else { -2 })), preHeader3.timestamp > func21(SELF), allOf(Coll[Boolean](box38.value >= 1000000L, {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.flatMap({(box41: Box) => box41.tokens }).fold(0L, {(tuple41: (Long, (Coll[Byte], Long))) =>\n val tuple43 = tuple41._2\n tuple41._1 + if (tuple43._1 == tuple39._2) { tuple43._2 } else { 0L }\n }) }((Coll[Box](box38), placeholder[Coll[Byte]](2))) >= min(SELF.tokens(1)._2, byteArrayToLong(coll37(0).get.slice(1, 9))))), func16(SELF) == -1))\n )} else { false } }(b4), {(b22: Byte) => if (b22 == 6.toByte) {(\n val coll24 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll25 = coll24(4)\n val coll26 = coll24(3)\n val coll27 = coll26.indices.slice(0, coll26.size / 8).map({(i27: Int) => byteArrayToLong(coll26.slice(i27 * 8, i27 + 1 * 8)) })\n val l28 = coll27.fold(0L, {(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })\n val coll29 = SELF.propositionBytes\n val box30 = func12((OUTPUTS, blake2b256(coll29)))(0)\n val l31 = func21(SELF)\n val avlTree32 = func15(SELF)\n val opt33 = avlTree32.get(coll25, coll24(0))\n val bool34 = opt33.isDefined\n val coll35 = coll24(1)\n val coll36 = func5(SELF)\n val coll37 = func5(box30)\n allOf(Coll[Boolean](byteArrayToLong({(box38: Box) => box38.R4[Coll[AvlTree]].get(0) }(func18((INPUTS, coll17))(0)).get(coll25, coll24(2)).get.slice(8, 16)) >= l28, box30.propositionBytes == coll29, box30.value >= SELF.value, box30.tokens == SELF.tokens, func13(box30) == func13(SELF), func16(box30) == func16(SELF), func21(box30) == l31, func15(box30).digest == if (bool34) { avlTree32.update(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get } else { avlTree32.insert(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get }.digest, preHeader3.timestamp < l31, if (bool34) {(\n val coll38 = opt33.get\n val coll39 = coll38.indices.slice(0, coll38.size / 8).map({(i39: Int) => byteArrayToLong(coll38.slice(i39 * 8, i39 + 1 * 8)) })\n allOf(Coll[Boolean](func14(box30) == func14(SELF) - coll39.fold(0L, {(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 }) + l28, coll37 == coll36.zip(coll39.zip(coll27).map({(tuple40: (Long, Long)) => tuple40._2 - tuple40._1 })).map({(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 })))\n )} else { allOf(Coll[Boolean](func14(box30) == func14(SELF) + l28, coll37 == coll36.zip(coll27).map({(tuple38: (Long, Long)) => tuple38._1 + tuple38._2 }))) }, func2((INPUTS, coll25)), coll37 != coll36))\n )} else { false } }(b4)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "1104f890cfd8ab65020002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1741031072828,1,0,1]"
},
"R6": {
"serializedValue": "6424ec61414dc92123417490c48fcee6240b7a4b44e82b7971e55e5760a031469801072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e265265696d62757273652043616e6e6f6e5120666f722044414f205365742d757020436f737473",
"sigmaType": "Coll[SByte]",
"renderedValue": "5265696d62757273652043616e6e6f6e5120666f722044414f205365742d757020436f737473"
}
}
},
{
"boxId": "610d910ded52f973b6c7af6550c3d0315370c8de0d7f18951c68672f8109d538",
"value": 1000000,
"index": 3,
"spendingProof": "414652dbe51938e535341323f93e489998edf00483fb88f3169836031b1a054444e5b99e859ca50c1fbb4507905e46111b9308d973ef7db3",
"outputBlockId": "31e4de760370901731db5d447354af3d83ddb8d61f7885ee2381949683a38d8c",
"outputTransactionId": "33617662940271a99c0e6133ef8992a7ef061d8ba7f3536e96c9a3616661a476",
"outputIndex": 2,
"outputGlobalIndex": 46470823,
"outputCreatedAt": 1468568,
"outputSettledAt": 1468570,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
"tokenId": "4f7f59ac72ae979192e0e0e02e1369ec3bb1ef4561765387e7a3b5d86337aec1",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205369676d616e61757473204d696e696e672044414f204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d696e696e672044414f204d656d62657273686970"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d696e696e672044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
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"value": 1000000,
"index": 4,
"spendingProof": "abd2ad53ee48207a6e377859b41355504072f7dc2d1eac897533405aba01093e3c0181d8463ad392acb33db04d6ca655640c9dd5f501f5ed",
"outputBlockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"outputTransactionId": "1e826be9976e3a830b0efa442ae07b3b9f92e66296603b55c6a376beec771d36",
"outputIndex": 3,
"outputGlobalIndex": 46470921,
"outputCreatedAt": 1468572,
"outputSettledAt": 1468576,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
"tokenId": "aa867a74d4e1e95950046e2130471959cdac262ea734008f055ba6ebe8ce9716",
"index": 0,
"amount": 1,
"name": "DevDAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"value": 953689183177,
"index": 5,
"spendingProof": "50363b5c527039ceb3b81ecb9b9d427a045d202ea938922355e0c71e53717903c60da9817f7080c8d9dce2409e465b3294cad4b450c0d5bf",
"outputBlockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"outputTransactionId": "1e826be9976e3a830b0efa442ae07b3b9f92e66296603b55c6a376beec771d36",
"outputIndex": 6,
"outputGlobalIndex": 46470924,
"outputCreatedAt": 1468572,
"outputSettledAt": 1468576,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 17702000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "52f4544ce8a420d484ece16f9b984d81c23e46971ef5e37c29382ac50f80d5bd",
"index": 1,
"amount": 107,
"name": "AuctionCoin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "22a19ed7d3d1a69729c730984d90c12eb19d75671c06d2509bc1558a9a4938fb",
"index": 2,
"amount": 1,
"name": "Sigmanaut Mining Pool Configuration NFT - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "791f0c8c811976b2d1624f762a122ef891d696c66bb2c0f3ab82d847920eb873",
"index": 3,
"amount": 1,
"name": "TESTSIGMAPOOL-NFT-2",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b0b312cde931c8bbdac0dac5bfd8e2c03bf4611275dc967988c8d15bd5ec20e0",
"index": 4,
"amount": 182086,
"name": "Bober",
"decimals": 3,
"type": "EIP-004"
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"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6461f57ca48e4306a5fbb82d3d4d88a6213fe66d7f38542f0fcab1227c4104ee7a06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "9d202132fd64dae494f8c380b0c9ccc0cc6c6492d4d2528d7fade378b255e8ad",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 1000000000,
"index": 0,
"globalIndex": 46470936,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)",
"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": "f84c0ea072a10da0ab04c01695ddad3f8d44e125fc238c9afe8c0483e5106cc8",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 10,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d65121204040000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,9,9,2,2,0,0]"
},
"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": "0c6402043441572f6c940e603cdb0c7db18d661f24f3eec83105309b91e517896f0e7104072000de563a64fbd5d33dad5497525b6c4256242eb0f95b3de71359bf92842ee8fcc202072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "edfcdc775be3273cbb475b17ddfec51e5f10c57c7bf6a5287ba544b2a48ec2d2",
"mainChain": true
},
{
"boxId": "a96ac226f3d6450c0e1bdd306fb537d23ed819d57ff057b888a8a010c067ab45",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 1000000,
"index": 1,
"globalIndex": 46470937,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val coll1 = getVar[Coll[Coll[Byte]]](0.toByte).get\n val coll2 = {(box2: Box) => box2.R4[AvlTree].get }(CONTEXT.dataInputs(0)).getMany(\n Coll[Coll[Byte]](\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 ), Coll[Byte](\n 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\n )\n ), coll1(0)\n )\n val coll3 = coll1(9)\n val func4 = {(tuple4: (Coll[Box], Coll[Byte])) =>\n tuple4._1.filter({(box6: Box) => box6.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == tuple4._2 }) })\n }\n val coll5 = placeholder[Coll[Byte]](1)\n val box6 = func4((OUTPUTS, coll5))(0)\n val box7 = func4((INPUTS, coll5))(0)\n val func8 = {(box8: Box) => box8.R4[Coll[AvlTree]].get(0) }\n val avlTree9 = func8(box7)\n val box10 = func4((INPUTS, {(opt10: Option[Coll[Byte]]) => opt10.get.slice(6, 38) }(coll2(1))))(0)\n val coll11 = avlTree9.get(coll3, coll1(2)).get\n val coll12 = longToByteArray(\n max({(box12: Box) => box12.R5[Coll[Long]].get(0) }(box10), {(coll12: Coll[Byte]) => byteArrayToLong(coll12.slice(0, 8)) }(coll11))\n ).append(coll11.slice(8, coll11.size))\n val func13 = {(box13: Box) => box13.R4[Coll[AvlTree]].get(1) }\n val avlTree14 = func13(box7)\n val opt15 = avlTree14.get(coll3, coll1(4))\n val bool16 = opt15.isDefined\n val opt17 = {(box17: Box) => box17.R6[AvlTree].get }(box10).get(coll3, coll1(1))\n val bool18 = opt17.isDefined\n val l19 = if (bool16) { byteArrayToLong(opt15.get.slice(0, 8)) } else { 0L }\n val l20 = if (bool18) { l19 } else { l19 + 1L }\n val l21 = if (bool16) { byteArrayToLong(opt15.get.slice(8, 16)) } else { 0L }\n val coll22 = coll1(8)\n val l23 = coll22.indices.slice(0, coll22.size / 8).map({(i23: Int) => byteArrayToLong(coll22.slice(i23 * 8, i23 + 1 * 8)) }).fold(\n 0L, {(tuple23: (Long, Long)) => tuple23._1 + tuple23._2 }\n )\n val l24 = if (bool18) {(\n val coll24 = opt17.get\n max(\n l21 - coll24.indices.slice(0, coll24.size / 8).map({(i25: Int) => byteArrayToLong(coll24.slice(i25 * 8, i25 + 1 * 8)) }).fold(\n 0L, {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }\n ) + l23, 0L\n )\n )} else { l21 + l23 }\n val coll25 = longToByteArray(l20).append(longToByteArray(l24))\n val coll26 = coll1(5)\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(0) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(1) }\n val func29 = {(box29: Box) => box29.R5[Coll[Long]].get(2) }\n val func30 = {(box30: Box) => box30.R5[Coll[Long]].get(3) }\n val func31 = {(box31: Box) => box31.R5[Coll[Long]].get(4) }\n val func32 = {(box32: Box) =>\n val coll34 = box32.R5[Coll[Long]].get\n coll34.slice(5, coll34.size)\n }\n val func33 = {(box33: Box) => box33.R6[Coll[Coll[Long]]].get }\n val func34 = {(box34: Box) => box34.R7[Coll[(AvlTree, AvlTree)]].get }\n val func35 = {(box35: Box) => box35.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple36: (Coll[Box], Coll[Byte])) => tuple36._1.filter({(box38: Box) => blake2b256(box38.propositionBytes) == tuple36._2 }) }(\n (OUTPUTS, {(opt36: Option[Coll[Byte]]) => opt36.get.slice(1, 33) }(coll2(0)))\n )(0).value >= SELF.value, {(tuple36: (Coll[Box], Coll[Byte])) =>\n tuple36._1.exists({(box38: Box) => box38.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == tuple36._2 }) })\n }((OUTPUTS, coll3)), allOf(\n Coll[Boolean](\n box6.value == box7.value, box6.tokens == box7.tokens, func8(box6).digest == avlTree9.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll3, coll12)), coll1(3)\n ).get.digest, func13(box6).digest == if (bool16) { avlTree14.update(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get } else {\n avlTree14.insert(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get\n }.digest, func27(box6) == func27(box7), func28(box6) == func28(box7), func29(box6) == func29(box7), func30(box6) == func30(\n box7\n ) + l20 - l19, func31(box6) == func31(box7) + l24 - l21, func32(box6) == func32(box7), func33(box6) == func33(box7), func34(box6) == func34(\n box7\n ), func35(box6) == func35(box7)\n )\n ), coll1(6) == coll12, coll1(7) == coll25\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2dc345a0ab814219c89a148ab6e8b9743e1c76a0e87af3b466efd30f1756ec0d",
"mainChain": true
},
{
"boxId": "6c7d71bc60966ff5c17125cc29450de013cd610d700f21862d1e4911083f4713",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 5000000,
"index": 2,
"globalIndex": 46470938,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "10040e2097f24b620af59012841e777615a337f47885b1c953a52ec79d7f2dccd998e8640e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e201fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad4890e20f84c0ea072a10da0ab04c01695ddad3f8d44e125fc238c9afe8c0483e5106cc8d815d601d9010163b2db63087201040000d602d901023c0c630eae8c720201d9010463aedb63087204d901064d0e938c7206018c720202d603db6503fed604e4e30002d605d9010563d801d607e4c672050511b472070404b17207d606e30a4005d607860204030500d6087207d609e572067208d60a8c720901d60b8c720902d60cd9010c3c0c630eb58c720c01d9010e6393cbc2720e8c720c02d60dd9010d63b2e4c6720d0410040000d60ed9010e63b2e4c6720e0511040200d60fd9010f63e4c6720f0664d610d9011063b2e4c672100410040200d6117303d612d901123c0c630eb58c721201d9011463aedb63087214d901164d0e938c7216018c721202d613d9011363e4c672130464d614d901143c324159d805d6168c721402d6178c721601d6188c721602d6198c721801d61a8c721802e5dc24078c72140101d9011b0e9593b1721b0412d801d61d7cb4721b04020412958f721d721772179591721d72197219721d721a721ad615d9011563b2e4c672150511040000d197830301dad901160295937216020cdad901181a968303019199db690572038cc7a70104e09e60af7218d9011a0eefda7202018602a5721a93b1a404020183010e8cda720101a7010100017204dad901160295937216020dd80fd618da720501a7d619c2a7d61ab2da720c018602a5cb7219040000d61bc1721ad61cda720e01a7d61ddb6501fed61e830002d61fdc640bda721301b2da7212018602721d73000400000283020e83200202f602ff028b0272021002010255024502d402b302ac025f02c6020c02900280029202d0023502a102a10261025502c0022902e802d502110262027c027a022c83200202af0278025b020a02dd0280025c025c023102f102cc023a023e029602c80290020802fd0271022702320201020702a30278024b027f024902e9025602480242e5e3010e721ed62086020502860205ce0f05e807d6217206d6227207d6237208d6247209d625dc640bda721301b2da7212018602721d73010400000283020e83200202f50291028e02b402b00228023c0266029b02dd028a0219025602400276026c021902e4020a0269023a0266029702b7027502b0028e020902050225022302d48320020276027c02aa028002b9028e0249026a02d802a902f6028902c40241020a02e402530232027f020f029502e90250028402c002ae0220026302500279023b0277e5e3020e721ed626b2da720c018602a5dad9012632b4e472260402044201b2722504020004000096830501ededafdb0c0e7218d901270495937227720a93b27218722700720b90b27218722700720b91b17218720a92720a04009683090193c2721a721992721b99c1a705809bee0292721b058092f40193da720101721ada720101a793da720d01721ada720d01a793da720e01721a721c93da720501721a721893da720f01721ada720f01a793da721001721a95ed92721c9d9cdad9012763b2e4c67227051104020001b2da7212018602721d7211040000da7214018602b2721f040000722005d00fd801d627720b9272279d9c721cda7214018602b2721f040200722005d00f720a040391db69037203da721501a79683020192c172260580897a92dad901273c0c630eb0dc0c0f8c72270101d9012963db630872290500d90129414d0ed801d62b8c7229029a8c72290195938c722b018c7227028c722b02050001860283016372267302a18cb2db6308a7040200027cb4e4b272250400000402041293da721001a704010100017204dad9011602959372160206d80ed618e4e3011ad619b27218040800d61ab27218040600d61badb4db0c0e721a04009db1721a0410d9011b047cb4721a9c721b04109c9a721b04020410d61cb0721b0500d9011c599a8c721c018c721c02d61dc2a7d61eb2da720c018602a5cb721d040000d61fda721501a7d620da720f01a7d621dc640a7220027219b27218040000d622e67221d623b27218040200d624da720501a7d625da720501721e96830c01927cb4e4dc640adad9012663b2e4c67226040c6404000001b2da7212018602a47211040000027219b2721804040004100420721c93c2721e721d92c1721ec1a793db6308721edb6308a793da720d01721eda720d01a793da721001721eda721001a793da721501721e721f93db6401da720f01721edb6401957222e4dc640d72200283013c0e0e86027219721a7223e4dc640c72200283013c0e0e86027219721a72238fdb69037203721f957222d802d626e47221d627adb4db0c0e722604009db172260410d90127047cb472269c722704109c9a7227040204109683020193da720e01721e9a99da720e01a7b072270500d90128599a8c7228018c722802721c937225addc0c1d722401addc0c1d722701721bd9012859998c7228028c722801d90128599a8c7228018c7228029683020193da720e01721e9ada720e01a7721c937225addc0c1d722401721bd90126599a8c7226018c722602da7202018602a4721994722572240100017204",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val b4 = getVar[Byte](0.toByte).get\n val func5 = {(box5: Box) =>\n val coll7 = box5.R5[Coll[Long]].get\n coll7.slice(2, coll7.size)\n }\n val opt6 = getVar[(Int, Long)](10.toByte)\n val tuple7 = (-2, 0L)\n val tuple8 = tuple7\n val tuple9 = opt6.getOrElse(tuple8)\n val i10 = tuple9._1\n val l11 = tuple9._2\n val func12 = {(tuple12: (Coll[Box], Coll[Byte])) => tuple12._1.filter({(box14: Box) => blake2b256(box14.propositionBytes) == tuple12._2 }) }\n val func13 = {(box13: Box) => box13.R4[Coll[Int]].get(0) }\n val func14 = {(box14: Box) => box14.R5[Coll[Long]].get(1) }\n val func15 = {(box15: Box) => box15.R6[AvlTree].get }\n val func16 = {(box16: Box) => box16.R4[Coll[Int]].get(1) }\n val coll17 = placeholder[Coll[Byte]](3)\n val func18 = {(tuple18: (Coll[Box], Coll[Byte])) =>\n tuple18._1.filter({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == tuple18._2 }) })\n }\n val func19 = {(box19: Box) => box19.R4[AvlTree].get }\n val func20 = {(tuple20: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple22 = tuple20._2\n val l23 = tuple22._1\n val tuple24 = tuple22._2\n val l25 = tuple24._1\n val l26 = tuple24._2\n tuple20._1.map({(coll27: Coll[Byte]) => if (coll27.size == 9) {(\n val l29 = byteArrayToLong(coll27.slice(1, 9))\n if (l29 < l23) { l23 } else { if (l29 > l25) { l25 } else { l29 } }\n )} else { l26 } }).getOrElse(l26)\n }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(0) }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b22: Byte) =>\n if (b22 == 12.toByte) {\n {(coll24: Coll[Coll[Byte]]) =>\n allOf(\n Coll[Boolean](\n preHeader3.height - SELF.creationInfo._1 > 788400, coll24.forall({(coll26: Coll[Byte]) => !func2((OUTPUTS, coll26)) }), INPUTS.size == 1\n )\n )\n }(Coll[Coll[Byte]](func1(SELF)._1))\n } else { false }\n }(b4), {(b22: Byte) => if (b22 == 13.toByte) {(\n val coll24 = func5(SELF)\n val coll25 = SELF.propositionBytes\n val box26 = func12((OUTPUTS, blake2b256(coll25)))(0)\n val l27 = box26.value\n val l28 = func14(SELF)\n val coll29 = CONTEXT.dataInputs\n val coll30 = Coll[Byte]()\n val coll31 = func19(func18((coll29, placeholder[Coll[Byte]](0)))(0)).getMany(Coll[Coll[Byte]](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), 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)), getVar[Coll[Byte]](1.toByte).getOrElse(coll30))\n val tuple32 = (1L, (999L, 500L))\n val opt33 = opt6\n val tuple34 = tuple7\n val tuple35 = tuple8\n val tuple36 = tuple9\n val coll37 = func19(func18((coll29, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.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)), getVar[Coll[Byte]](2.toByte).getOrElse(coll30))\n val box38 = func12((OUTPUTS, {(opt38: Option[Coll[Byte]]) => opt38.get.slice(1, 33) }(coll37(1))))(0)\n allOf(Coll[Boolean]((coll24.indices.forall({(i39: Int) => if (i39 == i10) { coll24(i39) == l11 } else { coll24(i39) <= l11 } }) && (coll24.size > i10)) && (i10 >= 0), allOf(Coll[Boolean](box26.propositionBytes == coll25, l27 >= SELF.value - 3000000L, l27 >= 2000000L, func1(box26) == func1(SELF), func13(box26) == func13(SELF), func14(box26) == l28, func5(box26) == coll24, func15(box26) == func15(SELF), func16(box26) == if ((l28 >= {(box39: Box) => box39.R5[Coll[Long]].get(1) }(func18((coll29, coll17))(0)) * func20((coll31(0), tuple32)) / 1000L) && \n val l39 = l11\n l39 >= l28 * func20((coll31(1), tuple32)) / 1000L\n ) { i10 } else { -2 })), preHeader3.timestamp > func21(SELF), allOf(Coll[Boolean](box38.value >= 1000000L, {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.flatMap({(box41: Box) => box41.tokens }).fold(0L, {(tuple41: (Long, (Coll[Byte], Long))) =>\n val tuple43 = tuple41._2\n tuple41._1 + if (tuple43._1 == tuple39._2) { tuple43._2 } else { 0L }\n }) }((Coll[Box](box38), placeholder[Coll[Byte]](2))) >= min(SELF.tokens(1)._2, byteArrayToLong(coll37(0).get.slice(1, 9))))), func16(SELF) == -1))\n )} else { false } }(b4), {(b22: Byte) => if (b22 == 6.toByte) {(\n val coll24 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll25 = coll24(4)\n val coll26 = coll24(3)\n val coll27 = coll26.indices.slice(0, coll26.size / 8).map({(i27: Int) => byteArrayToLong(coll26.slice(i27 * 8, i27 + 1 * 8)) })\n val l28 = coll27.fold(0L, {(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })\n val coll29 = SELF.propositionBytes\n val box30 = func12((OUTPUTS, blake2b256(coll29)))(0)\n val l31 = func21(SELF)\n val avlTree32 = func15(SELF)\n val opt33 = avlTree32.get(coll25, coll24(0))\n val bool34 = opt33.isDefined\n val coll35 = coll24(1)\n val coll36 = func5(SELF)\n val coll37 = func5(box30)\n allOf(Coll[Boolean](byteArrayToLong({(box38: Box) => box38.R4[Coll[AvlTree]].get(0) }(func18((INPUTS, coll17))(0)).get(coll25, coll24(2)).get.slice(8, 16)) >= l28, box30.propositionBytes == coll29, box30.value >= SELF.value, box30.tokens == SELF.tokens, func13(box30) == func13(SELF), func16(box30) == func16(SELF), func21(box30) == l31, func15(box30).digest == if (bool34) { avlTree32.update(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get } else { avlTree32.insert(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get }.digest, preHeader3.timestamp < l31, if (bool34) {(\n val coll38 = opt33.get\n val coll39 = coll38.indices.slice(0, coll38.size / 8).map({(i39: Int) => byteArrayToLong(coll38.slice(i39 * 8, i39 + 1 * 8)) })\n allOf(Coll[Boolean](func14(box30) == func14(SELF) - coll39.fold(0L, {(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 }) + l28, coll37 == coll36.zip(coll39.zip(coll27).map({(tuple40: (Long, Long)) => tuple40._2 - tuple40._1 })).map({(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 })))\n )} else { allOf(Coll[Boolean](func14(box30) == func14(SELF) + l28, coll37 == coll36.zip(coll27).map({(tuple38: (Long, Long)) => tuple38._1 + tuple38._2 }))) }, func2((INPUTS, coll25)), coll37 != coll36))\n )} else { false } }(b4)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "685065346a3665873115d64aadfe82e10f07cfdc526148802aa3e0f5bcd2c4ad",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "1104f890cfd8ab65040004",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1741031072828,2,0,2]"
},
"R6": {
"serializedValue": "642261241fe7ce580881e31919b3617c8cd31dc852acc7217eed0bbea6ade0af1f02072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e265265696d62757273652043616e6e6f6e5120666f722044414f205365742d757020436f737473",
"sigmaType": "Coll[SByte]",
"renderedValue": "5265696d62757273652043616e6e6f6e5120666f722044414f205365742d757020436f737473"
}
},
"spentTransactionId": "2dc345a0ab814219c89a148ab6e8b9743e1c76a0e87af3b466efd30f1756ec0d",
"mainChain": true
},
{
"boxId": "67aeb4a9493988f4c450badf0ded81132ca0d5e1f7546938675cd365d3cbf234",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 1000000,
"index": 3,
"globalIndex": 46470939,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
"tokenId": "4f7f59ac72ae979192e0e0e02e1369ec3bb1ef4561765387e7a3b5d86337aec1",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "44c0c06d364f84ed2d2bbef4903dc0aa666502504bea7cfdec11af732ba6c5df",
"mainChain": true
},
{
"boxId": "931f751e5cf5057558164537f5c92b4c58ef0e46b987866c2614a6add8621a61",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 50000000,
"index": 4,
"globalIndex": 46470940,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a04278b38f04dc9b4fe73a68c4eb170a7f0ab34c04b11ca8054c231060fc4b38",
"mainChain": true
},
{
"boxId": "6ebbd3ff3d7da7a03960945c556d90b63d84b1aa14e1cf85c439b17753751a61",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 1850000,
"index": 5,
"globalIndex": 46470941,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"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": "517f9c08ba052d42788c9f85fe0eb8e9f542c943245b66f84a2173ddfc3214fa",
"mainChain": true
},
{
"boxId": "3a84ceb26e597b5d095780d70d097f788522304109d962eaca23de71c10e644e",
"transactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"blockId": "1730e50fe74cf12614b7179689ab4b410df2b3e966423337b7835fa9fb91fcf3",
"value": 953638333177,
"index": 6,
"globalIndex": 46470942,
"creationHeight": 1468573,
"settlementHeight": 1468576,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 17702000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "52f4544ce8a420d484ece16f9b984d81c23e46971ef5e37c29382ac50f80d5bd",
"index": 1,
"amount": 107,
"name": "AuctionCoin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "22a19ed7d3d1a69729c730984d90c12eb19d75671c06d2509bc1558a9a4938fb",
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