Transaction
ID: 29b3c8ca43...eb66
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
4.84 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
3.22 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.01 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:
360,271.50
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.03 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.03 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 440,386
Total coins transferred: 9.07 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000295 ERG
Raw Transaction Data
{
"id": "29b3c8ca43870151a163ae9938d3a9bd7a5881edfb34ec13cfba9138a007eb66",
"blockId": "df533ea1c2d37ba8d746d905c127236ecf2a06309054db24c06fd72c119e07dd",
"inclusionHeight": 1330552,
"timestamp": 1723718014305,
"index": 28,
"globalIndex": 7654215,
"numConfirmations": 440386,
"inputs": [
{
"boxId": "49472ae67acb43b3b13435ac20b76587fca5df779dd455d816dbe3fe0833ef7a",
"value": 1008250000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4d6e3602bdb91a0f0d2f8a08decee61a6918f42dc3d4417a9429ac0ca9d4c2fa",
"outputTransactionId": "92ca198655022102f90b194ad32c1dbc2de061338955a489472136be503e53bb",
"outputIndex": 0,
"outputGlobalIndex": 42160155,
"outputCreatedAt": 1330544,
"outputSettledAt": 1330546,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)",
"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": "1f9a8538f3de09e2684f7d9a70410eed870f4ca82c0dc31b8e979bab9d6f9e94",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 7205430110,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11078090df87ab64e08bd1d735040000da01a08aef07",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1723766400000,7205430000,2,0,0,109,8250000]"
},
"R6": {
"serializedValue": "1d050180d0acf30e0100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[2000000000],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "1102e0bba4e42600",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5205430000,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c640299b23ffd1854ac0a8efdf6369f9a492553c9464f4f4d0a1f4666ed6c797dbbd4020720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "c772b0e0ef290363910873495479639438e07d9fb62df247d17a5524693d8024",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9e489999bb56e132355b95acf1fe8bebda1af39455a9f447ec78e3af83e28a6e",
"outputTransactionId": "738dc73d67996ab9ad9ccc7a3e5bf018eed632826e20d691ed72ba021736dc4a",
"outputIndex": 1,
"outputGlobalIndex": 42140518,
"outputCreatedAt": 1329801,
"outputSettledAt": 1329804,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\n val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\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 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll14 = coll13(0)\n val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n val avlTree16 = func15(box5)\n val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n (OUTPUTS, coll21)\n )(0)\n val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n )\n ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n val i28 = i26 * 8\n byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n })\n }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n box4\n ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n box4\n ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "c6f41ff45c79cbeaff53edb30696c738b4c671a396f210a1f389847b5dc4037d",
"value": 4836748843,
"index": 2,
"spendingProof": "a665886ec3c2c945495e33fa3a0f7b4bf01885fbfb821e063b82e178c1901fc9cce36daff629b81fb6c322eeafd207c6df2fff2060ea08ea",
"outputBlockId": "7062b457514bb299995631dd158ee7e0560887506ec062ab37d595cca27af54b",
"outputTransactionId": "5378ac2d7e1b53e8454a4437bb6cc94a00eea589b3e61551148123e30061f08f",
"outputIndex": 4,
"outputGlobalIndex": 42140434,
"outputCreatedAt": 1329797,
"outputSettledAt": 1329799,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
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"type": "EIP-004"
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{
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)",
"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 3602715110,
"name": "bPaideia",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1723766400000,3602715000,1,0,0,109,8250000]"
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"R6": {
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},
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"renderedValue": null
}
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"mainChain": true
},
{
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"transactionId": "29b3c8ca43870151a163ae9938d3a9bd7a5881edfb34ec13cfba9138a007eb66",
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\n val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\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 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll14 = coll13(0)\n val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n val avlTree16 = func15(box5)\n val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n (OUTPUTS, coll21)\n )(0)\n val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n )\n ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n val i28 = i26 * 8\n byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n })\n }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n box4\n ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n box4\n ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "235cfc1cdd1806c502450140e0043b2a305db10f4545f158f343e75063a061ad",
"mainChain": true
},
{
"boxId": "df6ac96015c1f183b926704064c01fd830c8a11db28d01aaa7289914d203e0a7",
"transactionId": "29b3c8ca43870151a163ae9938d3a9bd7a5881edfb34ec13cfba9138a007eb66",
"blockId": "df533ea1c2d37ba8d746d905c127236ecf2a06309054db24c06fd72c119e07dd",
"value": 1000000,
"index": 2,
"globalIndex": 42160298,
"creationHeight": 1330550,
"settlementHeight": 1330552,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 3602715000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "42cd1adf22b92b3bcb91c5e3f2ce83db21a9890aa15a5a22392a08107674eaf6",
"mainChain": true
},
{
"boxId": "1ee448340381343329449d10a6431948e2c7d389867367026e36664f3af3afdc",
"transactionId": "29b3c8ca43870151a163ae9938d3a9bd7a5881edfb34ec13cfba9138a007eb66",
"blockId": "df533ea1c2d37ba8d746d905c127236ecf2a06309054db24c06fd72c119e07dd",
"value": 2350000,
"index": 3,
"globalIndex": 42160299,
"creationHeight": 1330550,
"settlementHeight": 1330552,
"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": "06a9fc9f15f9b6ae22591b5ee98d620d765d31ef394f7eb8312fae3f35370534",
"mainChain": true
},
{
"boxId": "5ca7fcf6dde81499e80335c19e05f0d1e421ba5fcdd797d1df7aa67093469a33",
"transactionId": "29b3c8ca43870151a163ae9938d3a9bd7a5881edfb34ec13cfba9138a007eb66",
"blockId": "df533ea1c2d37ba8d746d905c127236ecf2a06309054db24c06fd72c119e07dd",
"value": 4028447422,
"index": 4,
"globalIndex": 42160300,
"creationHeight": 1330550,
"settlementHeight": 1330552,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 471722498648,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "6d5c3b016d25623c249f441559468239a09fc3bbb149c57ebfe91e3561cd524c",
"index": 1,
"amount": 9,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "167e00a67a58837f5a259ea7fb12cb0ea1b02acb34e9dfc08d8e3dfbf40b0d21",
"index": 2,
"amount": 6,
"name": "Mechmawler",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "08da06c71798eb76062ccc600fa8ef56eac155686f169f58dc8703d0ad042429",
"index": 3,
"amount": 3,
"name": "Ethereal Vanguard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9cfda1de6f53a7416933dd642fee1943a9b19ffdceb6c010e424c8697504b386",
"index": 4,
"amount": 6,
"name": "Hathor",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c3f3323ee31fc4d9f98a2a0656be81a04e1ecd15cea550fe88099afe5bcefd91",
"index": 5,
"amount": 10,
"name": "Shadeblade",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2a0410c5caacdc3282c78f93ce5359dc2a79f661c8d6c3a6926d7aeec0e60650",
"index": 6,
"amount": 5,
"name": "Mary Making",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa3a0ea17e369372e92ad4f1b777a5bfb9061e519e85697032781b97ecc1774d",
"index": 7,
"amount": 11,
"name": "Young Bull",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f23139baa6aff9cdccb74ff922a77fee7f76e71edf8f09ec04c2e68ae4cfc0c4",
"index": 8,
"amount": 4,
"name": "Punishment",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 1,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 5,
"name": "Siren's Lure",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 6,
"name": "Flickerflame Forge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "20ff08a9e71c9af410c4084cd0618012d1e2f3eb0407f9fa5836b67fca7527b9",
"index": 12,
"amount": 5,
"name": "Sekhmet",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 5,
"name": "Cyber Ripper",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "67935e8497de702e11646b406f44e74bd9b9e2e1431137aa21e9b52f9454cd05",
"index": 14,
"amount": 1,
"name": "Young Bull",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 16,
"amount": 6,
"name": "Shanty Tents",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 17,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 18,
"amount": 7,
"name": "Echo",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 19,
"amount": 18,
"name": "Soul Siphon",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 20,
"amount": 13,
"name": "Petet",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 21,
"amount": 7,
"name": "Persephone & Hades",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c4fa1dd0680734b237715c55a39aaa897e3ff1644aea3e53097d00cebea3be68",
"index": 22,
"amount": 10,
"name": "Void King",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a35728bf49f6334a4dd26344513294b1b96ff228ecf42a497dcec1d7d3380abd",
"index": 23,
"amount": 3,
"name": "Temptress",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d431f3ebd0cc8bf08e7c0a3477b4cdb3d914982d0eb2117a3464266be2925abc",
"index": 24,
"amount": 12,
"name": "Spectral Hierophant",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 25,
"amount": 6,
"name": "Vyrion",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2faf51d91fdee11330effaf71521065d4e6273a7b29340ee7970876606e9630e",
"index": 26,
"amount": 6,
"name": "Scarab Sentinel",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40f3ff080a7d9d2a65b57fcd60b16b9b2210d581290ae130674148ded933bcbe",
"index": 27,
"amount": 9,
"name": "Grimgob",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9fb93a189b5b07bf94a02c77eb7950e980a1584fec0e00b0c06b3bb34b90d9ab",
"index": 28,
"amount": 8,
"name": "Nightshade",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d1f783a3d724c2c1d45208fdc2b3b9b7908745940f8380d6b7bb543a7ffa0a64",
"index": 29,
"amount": 6,
"name": "Flamefury",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 30,
"amount": 4,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "154d751f827622e8b667d6b009cb5c3f26a2ec3306dbb983d2fbe07a550f03b8",
"index": 31,
"amount": 9,
"name": "Defense of Megiddo",
"decimals": 0,
"type": "EIP-004"
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