Transaction
ID: 06f5a5243b...49d2
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:
0.00067104 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.558091446 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080099 ERG
Tokens:
11,794.18
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.228246293 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.228246292 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 380,497
Total coins transferred: 1.56 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000231 ERG
Raw Transaction Data
{
"id": "06f5a5243b2f52e9fc0008d8ebf27e1708a5ddb32ae4cfa20d0c9bb9e95149d2",
"blockId": "4f9c6ed98c36f95894a050aff206986e19492551a502b4a17ef3df169497458d",
"inclusionHeight": 1396600,
"timestamp": 1731715401937,
"index": 3,
"globalIndex": 8065764,
"numConfirmations": 380497,
"inputs": [
{
"boxId": "75594be8582080b1efb7b4776b224c4ccce78764f5de5b0d83b4738687a09568",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b9c809324ce8387deb75991249ee8560f9b83fd5e1fffea493a97614c0cff27b",
"outputTransactionId": "016edb8f22295a5d2e3f030273cc9325d27beb2741f769d95427ba3c04f6acdb",
"outputIndex": 0,
"outputGlobalIndex": 43923801,
"outputCreatedAt": 1396431,
"outputSettledAt": 1396433,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
"ergoTreeScript": "{\n val 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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 67987566225,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780e8a6f2e764a0baffc5fa032616b2c9c6cedc020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1731931200000,67987566224,19,11,46790136409,0,0]"
},
"R6": {
"serializedValue": "1d0501c2e984b6dd020108019af68e983401140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fa9a547bbbadfdd83a7d95ab64e775845fe5b0670109b97a4b39d1e541bb50e903072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402dd60c4d66892ac7e9edf29ff4117f466b6b4f69975b705ac9f80a9dcc1c8d39a05072000075c10b9869ecf68a6e6f0a12c5ec393674754a8fb1dbf4583febb48b280f07b04072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "f8ee76d5bfec4bffdd73f18d594d5bb6da08e09ec745c4e9de4b4245eb3ad9b0",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9099f04afc6547df6d23b419712fd108f18268e68fca24a874f12ad73f51e64f",
"outputTransactionId": "529694788fe59c040f0868692cf38eac33dbb743cd8cd601fd65c70ed1ab170c",
"outputIndex": 1,
"outputGlobalIndex": 43922279,
"outputCreatedAt": 1396418,
"outputSettledAt": 1396420,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = INPUTS(0).id\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(0)\n val coll16 = tuple15._2\n val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n val func18 = {(box18: Box) => box18.tokens(1) }\n val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n box4\n ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n )\n ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n })\n }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n coll14, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n val i26 = i24 * 8\n byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n }(\n (\n OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
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"value": 671040,
"index": 2,
"spendingProof": "a8feff79321b8d52b83da9eaa20661fb2732f916305dbbbef41e2bad8caa3d35d0c6e9bcbc390594ff1a21c3b9e930b2c6c27a140b161c7a",
"outputBlockId": "36aec5610e32da5ff176f1b5184d68a627b4d56b24e61a34e703916eb302e42b",
"outputTransactionId": "7326b35ecac7c2618d3a377ab04c520a4ec88419edd43dfb6101373f0998afe8",
"outputIndex": 2,
"outputGlobalIndex": 43934002,
"outputCreatedAt": 1396588,
"outputSettledAt": 1396590,
"ergoTree": "0008cd026e3ad21935a6024eefe9696e9d1f17f0b861c85bf94349c7d97873ae04ae105b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e3ad2,1a32eb,...)))}",
"address": "9fMcBmghLxxoVt9duyTFEi5hLEyMet6cjDAQhPV5VL2Pcgagb8r",
"assets": [
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"name": "Shadowwood Sentinel",
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"type": "EIP-004"
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"index": 70,
"amount": 4,
"name": "Jack",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a35824255b3b30a0e637ae5bd37351728e8bc4f62174dd5a0b1359969d876a71",
"index": 71,
"amount": 2,
"name": "Midnight Menagerie",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fb6b32cb01f61735bc23d06fc1b84885e9c4a2b242d205d055804b83e2f3d4d5",
"index": 72,
"amount": 4,
"name": "Malware",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4fc1e3fb091b64f197923c535f8dd3540831e3fc660cfb098948d7b59a97897f",
"index": 73,
"amount": 2,
"name": "Mechmawler",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c3a9cce0840d0702e8516025de44e0e6b5f2c54f04122cc3a92b8762546dfce0",
"index": 74,
"amount": 2,
"name": "Grimgob",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "34510f0a957ad9b9de9a477ac971513a3968468ab99b29fd04abc6916c993bc0",
"index": 75,
"amount": 1,
"name": "Gizmo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0a8f2709c00970b1e505289d5a6a09a9443b4609cc91e7b354ce49d98169a5f0",
"index": 76,
"amount": 4,
"name": "Infernal Pup",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ea5d7d0bb84be69325af3c70a78d37c0544f77ae4bfa8bed173d9cdcbbc9eee6",
"index": 77,
"amount": 2,
"name": "Petet",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6f8de057ec9f3dc1fca903f03d35aa0badbb7370330c210e6f10d8a969537311",
"index": 78,
"amount": 4,
"name": "Artemis",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1ceec91b5551b2a11f12ab07d3303cb7ae2622a47dc0cdde0991f9d94d71264a",
"index": 79,
"amount": 1,
"name": "Flamefury",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f7a8785369aedc4177e02b208e1edf43283999209a076d2a304ce4091d5469f8",
"index": 80,
"amount": 2,
"name": "Scarab Sentinel",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1af011096007cfeb94a2d21eaf6bdf085cabd158ee3eee8b381d3ad4b3da2d5c",
"index": 81,
"amount": 5,
"name": "Mechagnome",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c303499d3141d099ff6ef3b138763323ea3f5a291bfba768dc645230a3be399c",
"index": 82,
"amount": 6,
"name": "Dandyblock",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "467d07ff5ec5a66fdca144a1fb23bea40836d0319749a1ad5d11cc5923058f36",
"index": 83,
"amount": 2,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3eeefa14ad6cd6e98ede70e7f442613748289cf13bf0832a51ec4360752866a6",
"index": 84,
"amount": 3,
"name": "Chaos Twins",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "060698e8a92ebf5e5099d17bdc758d041255ea93ed38a18c3fa58bfe0bb3c2b4",
"index": 85,
"amount": 3,
"name": "Mary Making",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "be40ce412958a8a6fd0623913ca2d8dd7335baa6a57f40cf99f2373488a6c2f9",
"index": 86,
"amount": 5,
"name": "Big Top Bomber",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5726e25de727b34754f7c50430655e57a5975b566d2a198558d8c5ce508133d9",
"index": 87,
"amount": 3,
"name": "Shadow Stalker",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f6f348bed9c772f36722ec5e3dadaa5a37e7b8313df50174a6bc68318b4b0122",
"index": 88,
"amount": 1,
"name": "Echo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f32ceb525c47789a9d2dc552048f5413450e75af30c7782ffec55acff8fe5bde",
"index": 89,
"amount": 6,
"name": "Skysabre",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e5da81676d354bf2940f8075ce5669d21c054a41f50b31fadee5b842fb127aff",
"index": 90,
"amount": 1,
"name": "Ultra Dandyblock",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7a5da8145b01668f7cf80a109acaf7c50e5c0fe2a46ccb2e82491f1303c1a7fd",
"index": 91,
"amount": 3,
"name": "Mecha Margo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c318894b69c67c5096f14ba50ca5a9b427463adcc89ed7ad76d99fcb9d904b7b",
"index": 92,
"amount": 9,
"name": "T00T",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9bb2dd6101d165a676e4893ac2321566a2d0776567b7e5698f686646f502868d",
"index": 93,
"amount": 6,
"name": "Flickerflame Forge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cb366c62bdf68435ea8bbf043455f07bff245804b130d2bb75bcfb5d14f1ce3b",
"index": 94,
"amount": 4,
"name": "Chariot of Ramses",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0845f1721d53f115374127cff8fa7f04a79d4814833f1e57ff46fb8e4f12dbee",
"index": 95,
"amount": 4,
"name": "Arms",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 96,
"amount": 14000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "176a5471357cc9d981cccbf65519d4ade5c38596a8ba647f5b89369320c5f619",
"index": 97,
"amount": 4,
"name": "Netrunner",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "71f286268a41c1d864cc67bb9089ea58ee5591672f8461825efa01a4502e7b99",
"index": 98,
"amount": 5,
"name": "Sunflower",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "191fd89eb6e3ef31f5bf4cecb8072776da4befc74a48b095f59cd67d69f74cc7",
"index": 99,
"amount": 4,
"name": "Flickerflame Smith",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8a8c0959e77016cb39db14e51d0e94e5a8de95e84fd0afa8a09d09486499bfd7",
"value": 1080099,
"index": 4,
"spendingProof": "ea5c9c8fa7c70d9609c0d0cb164d58995e52ab570010c03f11c63d7d73697cb13f1e171d563bc060fda19d6308dd767be515a1b78bb4b1de",
"outputBlockId": "b2461afe6c65533f924a9b4b644255d7565d517702f4b1399a16c1d3dd0d7352",
"outputTransactionId": "e81a6a8b843e9138d00cb3d2d6454f6434257ea7bd5a5d9ef8e096e2fafaed30",
"outputIndex": 1,
"outputGlobalIndex": 43934191,
"outputCreatedAt": 1396595,
"outputSettledAt": 1396597,
"ergoTree": "0008cd026e3ad21935a6024eefe9696e9d1f17f0b861c85bf94349c7d97873ae04ae105b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e3ad2,1a32eb,...)))}",
"address": "9fMcBmghLxxoVt9duyTFEi5hLEyMet6cjDAQhPV5VL2Pcgagb8r",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 117941792,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "79c5d20aa64bf7608a714d516165bcb3991b4e55c9239407ca50e5ba8f6f2552",
"value": 1000000000,
"index": 0,
"outputBlockId": "c86d5a5a0c51630cc9a369a60c05ad659e106e1b4ad240703468ff16ee597456",
"outputTransactionId": "28a7d9c5ffb0350ac8dfa9d4d2b94d1b68836fd5896d04e3958db95802b5961d",
"outputIndex": 0,
"ergoTree": "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",
"address": "GcZsF8aUAtTocXk59PirRHW3rrM557qMPUguPw1GhqmP3juthaW1A2348h7AQnudG94j2pWu7HrEQJW4HxXsnjj1drFaAse32XWZzyBg8gU9dkaWM49PVoH4sS8DNV69EhpjMt3oZnvnbAMTYNpKCZuW2EdTqpff5qF8ThXZoACGssncq87LSko8Q4v4TFXszK8ZTmeZbxEiz3Df1Y3R34hvi5vqGLGDzERpmQDMqLiWDscz33bzckF7ykkYnBXJACgBU2kPbc1rgqXSSTccb51B3pKDykiP2Y9KaRSp692RWzDwx2QSWc8VJPobs7pGvyKEKHBVXEGGNXeysxHZAP111TZsoUn7QbRH5XpCDQte5oppcPyCDDS5K6T1CEXRPXiTu5hXcyu1fPwht12FCcooCPMQvkp4D7FJzpZU8VaDcztVARN9rzaMBYWPrxVm4oeYtZo1DbsxciaHW9DasVjqTvRzNMz5BdCbXQmGRmkCW9PfmMrxqC24mpBsymh18fbFJtTGPnjXxDkLTrVcYEU5G3fEKfVn1f4JMK4dzBLHRbou19nsVpdo49TKW1RFfob1fHCrhcSjuXfbp7XVvrcN5xGMVHg3UiMWpBEh2evgwLQR7wfwy4Dim4hU8uFfxAxRiivWBgeokvgGYjQ4TL7f8ZZCzss1J6hDk3mWpcboBYtWbXtARguo2cBEcVQhrQM65LcEKCLhH8kL29WkHwNnmtvVL7sQ3CCbi2tCEsceU48VH7W4dDHZj626YALMbLxPQk8Gyw5KcXvYRYfHBNUE6GUq7coDJQrVtMFfiiuoNsoE5PjKEACQkTyADN7JyD7Lu11Lw277KqfNqWMP3fiuagCdCStQj3fMQWin1TFyxCVGMY5q69HkHKzB24tqDG5ddPq7eMACRbQJ7SWar5YnhBn2qbDMXJYf1vv7UUhxcQmG9aH",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64ed9d1be689a78f6a46a22fa3de3da4b5303e5189aece0f91ad8f5e384274c16a07072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "cf194c03298e842f6f76d96d4fe66c29fae8b6db8d80d3d48a305590cc80d880",
"transactionId": "06f5a5243b2f52e9fc0008d8ebf27e1708a5ddb32ae4cfa20d0c9bb9e95149d2",
"blockId": "4f9c6ed98c36f95894a050aff206986e19492551a502b4a17ef3df169497458d",
"value": 1000000000,
"index": 0,
"globalIndex": 43934264,
"creationHeight": 1396598,
"settlementHeight": 1396600,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
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"assets": [
{
"tokenId": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 68105507017,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780e8a6f2e76490c3bcb6fb032816b2c9c6cedc020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1731931200000,68105507016,20,11,46790136409,0,0]"
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"R6": {
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
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"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
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"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402e746f9308f18b600102fc4fdfd3add8365a4f461a9ac6808bb37d4e8e2ea159105072000075c10b9869ecf68a6e6f0a12c5ec393674754a8fb1dbf4583febb48b280f07b04072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "40150bc2fa41deb514a8b87e827cfd1afb5ba32ae2416dd916822ed8592b0976",
"mainChain": true
},
{
"boxId": "747f5a499ce6be066bd9b68d51b4f74552c6096885c14a06df59c015435e3fbc",
"transactionId": "06f5a5243b2f52e9fc0008d8ebf27e1708a5ddb32ae4cfa20d0c9bb9e95149d2",
"blockId": "4f9c6ed98c36f95894a050aff206986e19492551a502b4a17ef3df169497458d",
"value": 1000000,
"index": 1,
"globalIndex": 43934265,
"creationHeight": 1396598,
"settlementHeight": 1396600,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = INPUTS(0).id\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(0)\n val coll16 = tuple15._2\n val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n val func18 = {(box18: Box) => box18.tokens(1) }\n val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n box4\n ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n )\n ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n })\n }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n coll14, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n val i26 = i24 * 8\n byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n }(\n (\n OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "77c7b4c5f96d975635314fe880c4be08bd274acff38bccf8eca8abce5394816c",
"mainChain": true
},
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