Transaction
ID: b615ca8e1a...36c8
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
9.85 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Unspent
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:
0.00185 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.85 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 407,125
Total coins transferred: 10.86 ERG
Fees: 0.00185 ERG
Fees per byte: 0.000000232 ERG
Raw Transaction Data
{
"id": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"inclusionHeight": 1371197,
"timestamp": 1728643878998,
"index": 5,
"globalIndex": 7894605,
"numConfirmations": 407125,
"inputs": [
{
"boxId": "72f6b76b37d7428475913672399459166d2d458649c2163ec495c09002019587",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "90c7bd0e8296fa22e330e973c6ec90c3e75517f27bea6f54d76a50a7e7b83c5b",
"outputTransactionId": "cf9c83d00b4a6a3e496b6a44263d1540d267bfa7b3f54e1d6396ebe0e88ae4ef",
"outputIndex": 0,
"outputGlobalIndex": 43176753,
"outputCreatedAt": 1371190,
"outputSettledAt": 1371193,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)",
"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": "00acf1fefff7181e8c4f9476112dd4400212a2c5856d10384f998ce86a8a4c78",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a4e6cbcf6480a8d6b9070200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728669600000,1000000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402a9dfc28b92074adf65a29310bfc3429c86a1ffb50775d1553ca2d63741ccbd38010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "6314cc36fcea35bb5f3111592550762436697c601e19fe5bd63da2d16666ec78",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 8,
"outputGlobalIndex": 43176506,
"outputCreatedAt": 1371169,
"outputSettledAt": 1371174,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n1: Coll(0,-84,-15,-2,-1,-9,24,30,-116,79,-108,118,17,45,-44,64,2,18,-94,-59,-123,109,16,56,79,-103,-116,-24,106,-118,76,120)",
"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": "3f979d8df97c1b55d8038e53086bd59b97a6d6af082dca50235760878d903cf5",
"value": 5000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "90c7bd0e8296fa22e330e973c6ec90c3e75517f27bea6f54d76a50a7e7b83c5b",
"outputTransactionId": "9a44668272af2abf233ef9ad1bbdc99f941cd0e53c9b2bf941c6f04088202124",
"outputIndex": 1,
"outputGlobalIndex": 43176778,
"outputCreatedAt": 1371191,
"outputSettledAt": 1371193,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n1: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n2: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n3: Coll(0,-84,-15,-2,-1,-9,24,30,-116,79,-108,118,17,45,-44,64,2,18,-94,-59,-123,109,16,56,79,-103,-116,-24,106,-118,76,120)",
"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": "00aa649808f01c850b4e022368fdfa836ddeabcf3c09d56d0d0fd19cf3f62302",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "1104809cf98bd064000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728736864000,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0f53656e642066756e64732074657374",
"sigmaType": "Coll[SByte]",
"renderedValue": "53656e642066756e64732074657374"
}
}
},
{
"boxId": "46b90c94d414e9af5936be598c5353a3dd4dc3c0b69eedbff67393daf4558653",
"value": 1000000,
"index": 3,
"spendingProof": "240d9aee6efeea81369451a94dc70a1bcfbf4779272224ad2b028fd77863ab26da19f0fdd57a774475bd00b7f5ec3abe7e8c6fa027c88c51",
"outputBlockId": "90c7bd0e8296fa22e330e973c6ec90c3e75517f27bea6f54d76a50a7e7b83c5b",
"outputTransactionId": "9a44668272af2abf233ef9ad1bbdc99f941cd0e53c9b2bf941c6f04088202124",
"outputIndex": 3,
"outputGlobalIndex": 43176780,
"outputCreatedAt": 1371191,
"outputSettledAt": 1371193,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "bfdfe251205e8c9ca309df336290a43f5f43aeb2c6639e81eee5dfec28db6c47",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "234f916de19bad24f9cc6d4b0537463d2b9e65cf3e92653087fb67055c90ee17",
"value": 9850343686,
"index": 4,
"spendingProof": "0465681b84ba4a61e004a46a132b5ab9b2ced4d46d31264807eca0192b966c828cee3f6f89c56113f98f1925b33847335910568761e27dc8",
"outputBlockId": "90c7bd0e8296fa22e330e973c6ec90c3e75517f27bea6f54d76a50a7e7b83c5b",
"outputTransactionId": "9a44668272af2abf233ef9ad1bbdc99f941cd0e53c9b2bf941c6f04088202124",
"outputIndex": 5,
"outputGlobalIndex": 43176782,
"outputCreatedAt": 1371191,
"outputSettledAt": 1371193,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 476717928647,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7b976757ded023ccdffc1c6958376727fc392e60ed5627fb4e405177a8a090c1",
"index": 1,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 2,
"amount": 4,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "045d2f3ae2f7c17c83bd6a56d9ea64209802a62598ee138ed5289ea947393eee",
"index": 4,
"amount": 9997,
"name": "RosenGuard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 5,
"amount": 98698999999997,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "24b33d72bc82d430fd68b20dc22af598be6994189a96d1ee1eef78fd93b5f763",
"index": 6,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4679238680dadf89f6670c1d83563e87e16616407845ce7bdf5b9e3aee1ae8b8",
"index": 7,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "94073554b6fed07682cc819527a0188ab913698233fedd1bb908368e275a24b1",
"index": 8,
"amount": 1,
"name": "RosenGuards Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "669438571de1006db69e406bab15881b8c85f5b8a231b54c12db1923654b8220",
"index": 9,
"amount": 1,
"name": "MyFirstDAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "12e426555f6c33009bfd57c7661064cc2acafa71c2ec7f002b7fe013372a5735",
"value": 1000000000,
"index": 0,
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 2,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "642f01ed4a888da9262d9b904c3c1895c2d98a0fdf53285d4d467bf8ebb0d1826107072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "51e82cc0170ac83fbd0623f5db2f450c38ef649840cab3153e37899ec45d2928",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 1000000000,
"index": 0,
"globalIndex": 43176860,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)",
"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": "00acf1fefff7181e8c4f9476112dd4400212a2c5856d10384f998ce86a8a4c78",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a4e6cbcf6480a8d6b907020280dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728669600000,1000000000,1,1,10000000,0,0]"
},
"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": "0c6402711b476873f3c230196376aa9ef5dfd65934d7d437d30c63d351f7634c0f59fe01072000d37663cde49ff5b9d4424e5d8c7316315d0a60738cc9cd96c2f11d0f9866c5dd01072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "41140f6cd527fa03338ec4d88673f24a5ef80f59f70a2a82a2ec6645d5043479",
"mainChain": true
},
{
"boxId": "cd233eef412768713be3c5554d4c5d40125bcdda0abcf77444896dd8e35f4718",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 1000000,
"index": 1,
"globalIndex": 43176861,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n1: Coll(0,-84,-15,-2,-1,-9,24,30,-116,79,-108,118,17,45,-44,64,2,18,-94,-59,-123,109,16,56,79,-103,-116,-24,106,-118,76,120)",
"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": null,
"mainChain": true
},
{
"boxId": "26be27d3939bb6bbc4fb4e8c80b77f705e729ec1d75cddf6e46ec8ceb81a6aa8",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 5000000,
"index": 2,
"globalIndex": 43176862,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n1: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n2: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n3: Coll(0,-84,-15,-2,-1,-9,24,30,-116,79,-108,118,17,45,-44,64,2,18,-94,-59,-123,109,16,56,79,-103,-116,-24,106,-118,76,120)",
"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": "2HqXK74xEdRdZy8YVRmJdqAzUkc34RH55NY4XsY1QVWAzoxQNHRbwTozPEsxubwM8mtLS5ScP1FY8LgbJuDcZQjGTDZGknswDNhbPP53KLJ9i3KPgSxBwkv5vmofrssySDiALtJtJrL6EatSst7FoDihrXnKkNZM86hGbdNMKNZvKquXgEQfzWhqmW9KoSo9q5Aju7FZptaZXzFrK9fEnyc3uH4sYiPzcRYbqvfkTsG3otf2qbu6KkjJGsp5mxi6EKghSfVLRPLmrnQv5YUqHMN7BoESdSP8F74T8dtxNmVpdVVUrit1Wa4tPsUAQARMqB7Dww8HC4NWh26d9ysc7hhpH4oZE4HEja2r7iMV2vFupbPv6KUpUv6s5jjoeDTMTcXG6cDVBVC2uJ8tWZ6WDqo4sep6tqU99WcF836V4cFakBNhNvS85FbYN5D66V2NDuUhDJfPAppRsKAkiyh8iLMAHeBUzkKAYM33DQd5Zb9iAcrhsRZzf7Mo9LVw1UXL5N9unLAYHMrGyvVfcJQUVT8HRbQfjjpe6poAazKqTUX5UpsQuv4o3pPugsBt7Xqv8M3fFGxXbZs2hchz522Gwfu45mKBrgmdV5fQqZB9AC94mC4tihqkjD3cD68S8fcgzyNKky8XeCmf2gpQY1UGXR7Ym2fgqFEZdwpPeixajsbAAC5umWqThxPC1HDZcLivb49pzqxmyDqwHRYVLaa9myJ6zVtXV1LfUEjQ3z1ArLxrXdUxnVAvd1Tkn5f6hh7TRzNxk2NXJ6RowMMKpwiKKTwBTakp8ABxR34JrVUujMHgxWXcMnjCJ9MkMVze3s5FKKGvc9AppRMtt1km3UHaCQEpZNooH5pk1kcJqkQqToRtyQ2qCS339BE4BfjfQpKrnY7PE5b1uYY9ghXDkqenHbu4Uk22QmMeS5LFrsCT3pqS13CGhoXv1E4B4BJDfy2cmdwJSDcYQU9zo6BEH7h8TwFU2LYdFEXZWYMa2S4DdpEz8VccnybaMeGW71ApHNPmwgPdAV3hk2kfLBxN4EvGqfruGeUJrDNAoa1TENQdZ8FLu4YH6r1hQnwzxaws3SYjQncUazQ1fuNYMSpmGDTcgHbDnfC5h9zKdwqbrZyDhA2CJdBqvrxLACMGoQceUS8jxpPjAmMDEbpoRxpTpRUwKUbss7tyfUwYkGCgC9GT9X6Lzet8Bpo2QHhNcTok5H1vJ1L7sSRGiw2LJiUWn1si2oZKZWrNV4GEZ757fYKkRpFh1h5qQDk5qdjhS5tPRkK5Kk8Y3amqMX6vb5MCDxBBddgVDWb5D46gsu882CgE1gECFHGe8gE7nP87ED72YXQpX8W2GRdpABh8Pyv3FE4xzJoq769cdYguCmMThk5jY7iJ7JpVEtbjadY7H7z32Zj7NbsWS4G4v4tGECUVyETNTeAgYukBQ4Jvq6qs4qx6JQHR6Tf5ky7tawEupVB1drp1dsc4NeDZEdsWtoREiAk69F2LXFvr6F31YcoPR4BHLJxEypXkYQcUs9Cv3andkarMGCJn2XsUZAwxE2hhEoZ5eLmN8sk9X9FN4mpRhayB7f6RfY1vUwYRhSb6nL3Xg8JZnzdyFDHtQwsf2hUEVUz5ABokzHtvPin2EqiBFaC4DhJHfDFRsvj8GCN4gFQH8hrRKJP2nTHUKoZ7T8FUXvyr6qHcguANDdQnFTRtc3VrkzvkYn1LznvjTm1KGzHdPgjEVrjmNmNf6oZhvDNVxRBj2mGnTgfYHWcMiZ5dEtvJn2t7DmrgzHw7PtEf1sWeKPEGCBNCU3sQmNFLHENN7NGfdETDLq24P14cr1VsGaqkY7p8mF7D1g54J1j1EB2iP1bwf5mPGGk8oZK3BY4hXyE6hqbz5BWBjDpBXdBGP33pwsWKhB1jon9um2nbwCpbQz9BmSps5N6ToPu56ZEFYCxsCKQThrQvy2xd47hNh9jrWbyMvCAUuowLoyRsuiR56Yhkdu5W33PM5LdDwWCtpDkRynLQtUwfGAKKVr3pJmRGmNSzZqQjKJyjqXafmNCabsGpg5FgEkd3iyyusUncJewNEWdR7UFx49WGmCYx5JvDnq6s87VnmeHJ8Gfa9g52QmSJV8azybVcoMwxMKL9rLDYoqtbK7SNLuL43wWGTdCAi4EkdaX9dKpDe54M4JsA7HsDwjNfRVvjS3S4bkzEwAL85n9HW4jEooogopdPaV39PTDvLeDkPiq7cCgDbokLoWcN2bXx4CWXQXfGoNMZ9GywBisHWuaHiUNgiVXFK9KBFQcC7RQuLoDws3atWGg8tc1GUzYdCdjKKcPjBQGg7di7WDBSNXeD9mUYfnvfUgtkoPixwse8imqTxFTnAFF1ZpkGEvNgd7QzywKwR44tXYoWxXS28NcSnKZoVKBKKyDXwUkXxz2cWrjmqqBf6aPNPvkXctH6q7BBWicY1ijNwWV9CwpmgFUu4xEggSDHQMXkgGCSCfmsLnhjZa9GuRVQc9yps4EDJsyfgePixqhbAYzLnduw9My3bWUuKkc5G3Qrbh474aakrbhDmLehR8bwT2vshCFcW6oJydfjMTp1KtR3oSwmKyNuEnmhnX5jSReAXCrQfVFGBShijMP6kqS2RrqFT8sGje3tBUrH92zqY9tRE5EHwAodPJPK5UUnYMa6Q3xSgft2ocznP3gfqw",
"assets": [
{
"tokenId": "00aa649808f01c850b4e022368fdfa836ddeabcf3c09d56d0d0fd19cf3f62302",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "1104809cf98bd06480dac4090080dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728736864000,10000000,0,10000000]"
},
"R6": {
"serializedValue": "6437717b6648586416099f9a7c0900071cdda5a742ebab36e1fc4bc1cc25c9de9a01072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0f53656e642066756e64732074657374",
"sigmaType": "Coll[SByte]",
"renderedValue": "53656e642066756e64732074657374"
}
},
"spentTransactionId": "9bc2d6da43821d0d68b453afd897781ef2ba5f4f85806ec11ae31cc41906da4a",
"mainChain": true
},
{
"boxId": "087041c63e6f227bc2559007c3c976b96ee724f2a8f0bcadf083e373acf28ac3",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 1000000,
"index": 3,
"globalIndex": 43176863,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "bfdfe251205e8c9ca309df336290a43f5f43aeb2c6639e81eee5dfec28db6c47",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1980c4a6cf3881dc4aff6b0f50f1cac78c55afa6a09b2e6345cb27ba27c04e61",
"mainChain": true
},
{
"boxId": "d359d3b41ff63c7a160a2a8bab733d397b1add2e1bcbba15b8859d3cf51033cb",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 1850000,
"index": 4,
"globalIndex": 43176864,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"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": "949cfb2f00ee0df9842c4521a9d18543d461da7af4e419770c1708984413e828",
"mainChain": true
},
{
"boxId": "98018f256eb8f60dff2830598b3fbec1b83c59ef817e4f16aeb3c4b8e7843306",
"transactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"blockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"value": 9848493686,
"index": 5,
"globalIndex": 43176865,
"creationHeight": 1371195,
"settlementHeight": 1371197,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 476717928647,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7b976757ded023ccdffc1c6958376727fc392e60ed5627fb4e405177a8a090c1",
"index": 1,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 2,
"amount": 4,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "045d2f3ae2f7c17c83bd6a56d9ea64209802a62598ee138ed5289ea947393eee",
"index": 4,
"amount": 9997,
"name": "RosenGuard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 5,
"amount": 98698999999997,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
},
{
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