Transaction
ID: 628f295dc8...7fe4
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.15 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
993.18 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.029880258 ERG
Tokens:
35,000.00
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.15 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:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
993.15 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 307,295
Total coins transferred: 994.36 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000406 ERG
Raw Transaction Data
{
"id": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"inclusionHeight": 1451582,
"timestamp": 1738362546046,
"index": 10,
"globalIndex": 8527884,
"numConfirmations": 307295,
"inputs": [
{
"boxId": "8992c98f2d0a0ee2f6cb33a6b3e7fc530b77823fa655abd21965539f47badce0",
"value": 1151935176,
"index": 0,
"spendingProof": null,
"outputBlockId": "db13a97ebcf665cdf6e0a76098d6e4849c055ca9dd4c2bf55096281379683695",
"outputTransactionId": "eaca292d7380982b9fe921ed22224668ca0ec4ee07c947a61d1901127f6495de",
"outputIndex": 0,
"outputGlobalIndex": 46023618,
"outputCreatedAt": 1451547,
"outputSettledAt": 1451549,
"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": 578688468018,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780b88e969865e8b2caead321560000fadddfdd03e6c1905f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1738411200000,578187513012,43,0,0,500955005,99750003]"
},
"R6": {
"serializedValue": "1d05018a829ddaaf200100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[556158656645],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "11020606",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3,3]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64026a3b72b7c6e60130438b748a562812362614617f83d592ddc8814d85d8dec9cf060720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "a384ced3a434a4a645e3f443c50ded0c7764f2413d6f84f5cb6f888f1a8e3cb2",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4404defdcf7eb88de7a46546e9206516d3e5a224b8691552c8a99e28a25600f3",
"outputTransactionId": "d82fd18d1218c36ded2134a7821e8620891777309842f1da0611b6c52159a95f",
"outputIndex": 1,
"outputGlobalIndex": 45393535,
"outputCreatedAt": 1433385,
"outputSettledAt": 1433387,
"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) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "2jgvrzygCD4VaXzrgdXqyDBgQWVHbE9ieS4beXDB5UrrsytwWs4Kg235PyEyweVPurL5Y3UQ65cBv4WpvtBnUkfaiXTJRP7WtfSZtTrJyvnxPYHDHJ5LWe6wCrA2sTvBg8vAj34wXCth5RetT89QmT1xZZ6nnSHwRBPGvZKG6et5nSKTo3bkXRaPBa8aThrY159GxYxUXJnCrqiuSRvCidQmAF331bdKZbqqnfPFNwbTtaCdnXcDdffSK4twRMwosdASsffWJeFmyxv9MbdGjcrfshpu6UvuQeSHGB8zKb1DBo9Koyu1j5NmxiKq5AecXZ4cZnJi9ZZCkQzy5GhTd14Y5TBzEcGMm8fmrGAGMaaNcNEzs2jEJkWeNjwdiz4hb5E65mqp74EWnVLBJ4WEFdcxZGdoEmwSmM8e7yYnrt2FmWxNndVAK26X1izrUd2kViWnFeTKa2ARjenjPsnrBXdnoBL7xXk1xkgzN4AsiqUoUT2yEnDfXKSm4mVhEfU5ZVhHe9RcEQa7MF9DJgoyxAv8Kh5ZREAYAua4zvJu2yTrgGrL7xmpRti2gA6jWCvCKShGDr2SLtgu2WakJLMXtTsf8Z7AogUrTRM8mUb4wxA2K8Ttey8JoyzD9UgvWZ3P9Ck1DUVttBy5nj5sBy2XASdVMhBJg32LxbtdVxVts43aXx8zVH9vC3KuozFq7ntdawBX8rQ5F5jhCRmqRaK3gcPgzyLRsKFD9ca6sK2PLMFc93quWEeW6Cpd25z7i3G8QkvVmhnYwwxoSZEyZBDtFzLD7Ram8EdLunena7yGbWAnt1wNZ6x7X1XQ7pTAw5M1EK3d5riDr23bYvwubrapnbLhhLp5hDBMBMq4MZHHvgCaw9jqsajDwDWhg8bYqLmn1wA3jGX8FtfPwsjoAP9bGSmAwwXnpUmL6CeybFgv82gn6KFdwaPscXZmTXLqmnVSu7jQ3Uysi7XEMFk7o4soz77soioEukd2LXpXgYbxJrDXieNjdkUWgZpNdV3P4b9LQgatxNjJdZoAoyMzctD1hzh13zBrDQgDjicjJi44BgJRLVWebnpUzxykk5rhcBNaLG8hzNyVZBt8QdvHJPToAdZeGb1YiZmQpi7TRMKsoyVcTPTR3GdCNUa5cu9ed7XwSf9bWRjmwCFgugCWnkV1AQ6uyYSkjPv7Y2yxb3VgFtAsmEe96ZF9dEa9qTLYs6Hcm5HmBG81WiuFz7NifLJbnFqACQ84oXYdWr7SHs5DjBp1o4RfJ5zoxzzXUS7sYdnCLDUXAotMB4KNLB9Xvmzx2D125ZNyordFHTDwgKe",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "e9ca5664deff667ec6c230a7248961b4bb39437ec13d1b6ffac232c483e757aa",
"value": 993177257106,
"index": 2,
"spendingProof": "dd159330d2ccc2d555bca21b61e767533d391893e3d1111f6dd0cce40a02aa44ddf1038ae1b7f3619203e1f2c363fcd9c2471a3f26e43674",
"outputBlockId": "6f5b108ead1191924d5168bec5e43dd593de6893b7bedf459ebc6a2bb9c7392d",
"outputTransactionId": "21f13bd1c1ad770394553285a860d670f4cbe4f28f2222b815c22b1204c7254c",
"outputIndex": 1,
"outputGlobalIndex": 45985045,
"outputCreatedAt": 1450279,
"outputSettledAt": 1450281,
"ergoTree": "0008cd032ae7eb90b0bab3aa958cca30e5e040f53a12620e1368fe00348976bf5c1521d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2ae7eb,283f7b,...)))}",
"address": "9gnhfapSW2RtUYXR7DukoaSZfZpNazzcuyUhay5mjBW91qHS345",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 200000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "b0b312cde931c8bbdac0dac5bfd8e2c03bf4611275dc967988c8d15bd5ec20e0",
"index": 1,
"amount": 54355,
"name": "Bober",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 936,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "1eac52506988e173227d1b2cbf73e05dab7f6b1b14054b5fa19bc36a073aa055",
"index": 3,
"amount": 1,
"name": "Restless Nights",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 4,
"amount": 592712,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 12000,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2fc598263b4f8b4183303543a48757783dbdc9f798d073db3b52779b9a5bbccb",
"index": 6,
"amount": 20000,
"name": "🚀",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c0bfa5ebb35e9f12d072ed938349d938cb0fd07cb25da7df1de21c9113cb58db",
"index": 7,
"amount": 40,
"name": "Man-Hour",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 200000,
"name": "hodlCOMET10",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 140,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 2,
"type": "EIP-004"
},
{
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"index": 11,
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"type": "EIP-004"
},
{
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"index": 12,
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"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Dark Erdoge",
"decimals": 6,
"type": "EIP-004"
},
{
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"type": "EIP-004"
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"outputIndex": 1,
"outputGlobalIndex": 46024181,
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"outputSettledAt": 1451580,
"ergoTree": "0008cd032ae7eb90b0bab3aa958cca30e5e040f53a12620e1368fe00348976bf5c1521d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2ae7eb,283f7b,...)))}",
"address": "9gnhfapSW2RtUYXR7DukoaSZfZpNazzcuyUhay5mjBW91qHS345",
"assets": [
{
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"index": 0,
"amount": 349999999,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
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"value": 1000000000,
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"outputIndex": 0,
"ergoTree": "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",
"address": "GcZsF8aUAtTocXk59PirRHW3rrM557qMPUguPw1GhqmP3juthaW1A2348h7AQnudG94j2pWu7HrEQJW4HxXsnjj1drFaAse32XWZzyBg8gU9dkaWM49PVoH4sS8DNV69EhpjMt3oZnvnbAMTYNpKCZuW2EdTqpff5qF8ThXZoACGssncq87LSko8Q4v4TFXszK8ZTmeZbxEiz3Df1Y3R34hvi5vqGLGDzERpmQDMqLiWDscz33bzckF7ykkYnBXJACgBU2kPbc1rgqXSSTccb51B3pKDykiP2Y9KaRSp692RWzDwx2QSWc8VJPobs7pGvyKEKHBVXEGGNXeysxHZAP111TZsoUn7QbRH5XpCDQte5oppcPyCDDS5K6T1CEXRPXiTu5hXcyu1fPwht12FCcooCPMQvkp4D7FJzpZU8VaDcztVARN9rzaMBYWPrxVm4oeYtZo1DbsxciaHW9DasVjqTvRzNMz5BdCbXQmGRmkCW9PfmMrxqC24mpBsymh18fbFJtTGPnjXxDkLTrVcYEU5G3fEKfVn1f4JMK4dzBLHRbou19nsVpdo49TKW1RFfob1fHCrhcSjuXfbp7XVvrcN5xGMVHg3UiMWpBEh2evgwLQR7wfwy4Dim4hU8uFfxAxRiivWBgeokvgGYjQ4TL7f8ZZCzss1J6hDk3mWpcboBYtWbXtARguo2cBEcVQhrQM65LcEKCLhH8kL29WkHwNnmtvVL7sQ3CCbi2tCEsceU48VH7W4dDHZj626YALMbLxPQk8Gyw5KcXvYRYfHBNUE6GUq7coDJQrVtMFfiiuoNsoE5PjKEACQkTyADN7JyD7Lu11Lw277KqfNqWMP3fiuagCdCStQj3fMQWin1TFyxCVGMY5q69HkHKzB24tqDG5ddPq7eMACRbQJ7SWar5YnhBn2qbDMXJYf1vv7UUhxcQmG9aH",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64a1db138991f9e426fe847dbae52abd772f8681deb022a8a3d0cad0ef86436f7107072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "ee158d6cfab7ae23bf0abaf9cba55ad941ef298fbb7349db9d3dd705390fa02d",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 1151935176,
"index": 0,
"globalIndex": 46024231,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"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": 579038458018,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780b88e969865c8e4adb8d621580000fadddfdd03e6c1905f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1738411200000,578537503012,44,0,0,500955005,99750003]"
},
"R6": {
"serializedValue": "1d05018a829ddaaf200100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[556158656645],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "11020606",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3,3]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402a94494b0ebf3aade8ec324431fb3fb444ebb97e86c3bebec1b03c13ce609d604060720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "c73d8df41b370362951e45e225cd509a1f6d796059ee3d3268a8edad7ad86a1c",
"mainChain": true
},
{
"boxId": "d6556dfe6c6f5780c1868fec89e624b63b78107a1d4495cc882259b3d7022320",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 1000000,
"index": 1,
"globalIndex": 46024232,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"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) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c73d8df41b370362951e45e225cd509a1f6d796059ee3d3268a8edad7ad86a1c",
"mainChain": true
},
{
"boxId": "84d19bc5e081c349cac1bae136ac630e17ea0f5d6fb7b2b5e5f381561787c40c",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 1000000,
"index": 2,
"globalIndex": 46024233,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"ergoTree": "0008cd032ae7eb90b0bab3aa958cca30e5e040f53a12620e1368fe00348976bf5c1521d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2ae7eb,283f7b,...)))}",
"address": "9gnhfapSW2RtUYXR7DukoaSZfZpNazzcuyUhay5mjBW91qHS345",
"assets": [
{
"tokenId": "8992c98f2d0a0ee2f6cb33a6b3e7fc530b77823fa655abd21965539f47badce0",
"index": 0,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1250616964656961204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "50616964656961204d656d62657273686970"
},
"R5": {
"serializedValue": "0e3550616964656961202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "50616964656961202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "26dec6f2c1da1a693e26ac3a3dba462a5487a4e77c2b77a3e69c88cdeafb1b9e",
"mainChain": true
},
{
"boxId": "d6fecfd74dccea7ee63c167429316b4bdb44fe56c4008560fbfe25f2ce2554d5",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 50000000,
"index": 3,
"globalIndex": 46024234,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "32783c40768092b2daaf57b1c3ef71128e85f527fbfbcbbde25849d101adc75d",
"mainChain": true
},
{
"boxId": "adb553fd3b12c3363c678b7bcff836bc0a8cb0ff5f0aa9639541188bfe9489f0",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 2350000,
"index": 4,
"globalIndex": 46024235,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"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": "1ef35619ace6120343b9bb9f5249510d7e7fbbb9a434c8729d75b0cc4a20e771",
"mainChain": true
},
{
"boxId": "68cb0699ab119292727c87f36a60e0b22380d2787c092bbbc526965eeb25d36c",
"transactionId": "628f295dc84affcd8c6eddcb63b289a890ee58112e99827c308fccd6ba727fe4",
"blockId": "e761590046e8e4bf2998a6a7013ac96db0d7675faf004e211572ca7fb6624737",
"value": 993153787364,
"index": 5,
"globalIndex": 46024236,
"creationHeight": 1451580,
"settlementHeight": 1451582,
"ergoTree": "0008cd032ae7eb90b0bab3aa958cca30e5e040f53a12620e1368fe00348976bf5c1521d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2ae7eb,283f7b,...)))}",
"address": "9gnhfapSW2RtUYXR7DukoaSZfZpNazzcuyUhay5mjBW91qHS345",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 200000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "b0b312cde931c8bbdac0dac5bfd8e2c03bf4611275dc967988c8d15bd5ec20e0",
"index": 1,
"amount": 54355,
"name": "Bober",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 936,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1,
"name": "Restless Nights",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 592712,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 12000,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 20000,
"name": "🚀",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 40,
"name": "Man-Hour",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 200000,
"name": "hodlCOMET10",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 140,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 9999,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 18391,
"name": "MEW",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 12,
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"name": "🍻",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 28,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 14,
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"name": "Dark Erdoge",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 10288,
"name": "PEPERG",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 16,
"amount": 22000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "🐶",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 18,
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"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 19,
"amount": 42000,
"name": "🌶",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 20,
"amount": 1991842694,
"name": "Satoshi",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 21,
"amount": 75134,
"name": "Ergo Inu",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 22,
"amount": 1234321,
"name": "COS",
"decimals": 0,
"type": "EIP-004"
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