Transaction
ID: 45e9d44b7d...1dc3
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:
103.64 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080217 ERG
Tokens:
27,800
Spent
Address:
Output transaction:
Settlement height:
Value:
470.27 ERG
Tokens:
Loading assets...
Outputs (6)
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:
573.81 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 364,421
Total coins transferred: 574.91 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000388 ERG
Raw Transaction Data
{
"id": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"inclusionHeight": 1395403,
"timestamp": 1731572750061,
"index": 11,
"globalIndex": 8054405,
"numConfirmations": 364421,
"inputs": [
{
"boxId": "2ece4482792039fbc2cc825c7be2db38210abc76d694aa33314fe190c807e88b",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "dd4ab7b56ed2afae3ceb3f4f43de542c35178976ff1baf62eb7d20dc94cb2938",
"outputTransactionId": "fc3afdb94494f9b6eb4bf5a8e8dc3e129d8d65a6edb08d8730ecc303d26e3a4e",
"outputIndex": 0,
"outputGlobalIndex": 43875979,
"outputCreatedAt": 1395269,
"outputSettledAt": 1395271,
"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": 34661354287,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780e8a6f2e764dcacd29f82021006f4acdf88100000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1731931200000,34661354286,8,3,2156653370,0,0]"
},
"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": "0c6402edc8eee3af044d87c8b493f63fc3c58fdf744c533f6d20fbdce16c90cdeb845804072000765f1349ec1e32c76d8538ab38ac1d6e6a24a4381e56aeca9a6151bfe90f96a202072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "e79b0d3fc24c8480f999ea6e685be2c0ab34d7849835c93d7980e567ddf6d734",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "721c4210941709d98be0b0bfa0afbb07e84977bca3a4e1570921f2e867a8a9d5",
"outputTransactionId": "48e5f1d706e8019ec4648916ddf453967362384b4fed29270417dc3bb84d96a7",
"outputIndex": 1,
"outputGlobalIndex": 43870751,
"outputCreatedAt": 1395058,
"outputSettledAt": 1395060,
"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": "6qwxETDimJn7YQgqu57wYZmyeegHki36HUCipB39BSSpKq4qTmrUFW8p54inyhtb26oVycwSiPZ4FvFV6tZXnQ7VDkjmLJqxQbKQbbyB4uFfaBNJ5kp9zrk1sYdyEa1ZuYP6o1qETSmtbgohiTXweoi96xdm7sMC6DvM28STmxoz6i17Nq7aMz45qnozfJmhbwxhge16wDaVjq446FBduuNbR1CGziett7wBCEdf3iRALam6gD5FG8ExcWkgU2SLHSqz5cLT4SgRf8GwC4xagDwvPYucCr6sE3bVBaEv4rQ21vtjj9aTRVsQBbnMsvu1qUjpoe6rvcFUqAkJsn5wZ6qnoTKXKfMjfSsZuBPQ5Lkq1uegaDjpqPHyjsR3nBJgtAzNEwJRyyZSZm3voRND3wAAm7Wogyh5yRQaTungJpM15a8Z5qxqfZisBGLJGuDp1r2jB86NE31YJpk4mS39AjDLe4rXGPDhJBdVZXhp5ejetoucwP1QoHWi3xscgDefRgwjAZPCCzp4MmSZ9up8vAmRosbZsW3jSkWuaTrpV4ZSSfQf3X4MZh9B71Zevj74PHKaMe23YGQez3Hud8uGuNscWhgwb9n43mPkKYxnUFtZZpsb8vGPEzHUuFKSb7g66T4wYAWKFsRmk5wumJckLvBbdfQ5Xb7YMEgbA5xv2Cr6SLEeL8pLzdTfoMzRmMhAazoRftMqmqZWntbzCfKC7zPCd46BcvGf3a6QKxaSgt5t7BDj7xtJhmofTyd7RWfZwhM616vjLupckEXTEM1pYhATBNBEPXTsviMQZwPzXRcHME9ET5merWxxihMSSKaf9HMDJFjZYSCrEdNJy68BruiJxj9kJWK3QTwsqM4rdJAPDwCNmaxc1Cr98f89Q75aZS3grZpx1zi49q6jnqBWc3kU9n3P5NN4tbpqQubVhY95w7gA52Ah86gsmLQZyMDBMgePSkTEsuAFT7FCpFeKUxgXrW57DVwh1qDS1CoygwVpLL9zsnDG2jN8PjNn6f4roTYN56S5FaaVd5kBc8WK7VXGdea1AH685YPvqVhAXtQ9Sr3FWpRs6KhdR3TbNpHRGmctMrYkEAiG6PQ7DPngaQ74f6bbbH8tAUSFkU3mKPZn4UP7RcU5Esybxv3g5V4X2JJAChmHAxzrPic4wmHkAN55jQhHxEkQ96jaiWUWY9xJMPPBSXayabzv4oyP2eh3ffP662vvnbRQSY7jLufSCvStz8Qx9oC2TDk8UubXxNeSRWvUcixFuFWoypK",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "466dd0c1c0c719d84063d5d0889333f725bbdaffefc3e4d7ecb8c21774dcd720",
"value": 103639991783,
"index": 2,
"spendingProof": "187d2bdd38be1f1b36a07683a93760347e0bf97f0b965192ff8f0dff5c2ea1d83f837cdb63dc9411ce175c8b5fda0abea284a59fbb6b56cc",
"outputBlockId": "a07eeca0c5eadb5d9a15a82cdb43905b90b1990575df9ab8b25c364d1ef070ee",
"outputTransactionId": "65ef69d2cea838e325576beb9e4daefb46eb58697de7fc4544c8c2dc119aeb8f",
"outputIndex": 1,
"outputGlobalIndex": 43879316,
"outputCreatedAt": 1395365,
"outputSettledAt": 1395367,
"ergoTree": "0008cd026487a1b00b5cfbfebc2778fcc5bbb448c3f7a10a9f76d3105b686ac981bcb453",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6487a1,a30fba,...)))}",
"address": "9fHLQyMLiDz9v7nWuRQJUJo9RoKWRYJZ37sjPRZ8hvp5BQWkzRh",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "96d363d511ad0912c2134deb4189125217a7eb3599ce1eaeb11f2ffa397679eb",
"value": 1080217,
"index": 3,
"spendingProof": "88de58ce23ac8f0d10196db97120791a7687c946248b46883a8fee6d86bed5306864f5e19770d508c4a6804a94a80f4a857f4a666de45597",
"outputBlockId": "948e130181db2d2a2b45e1d6e96f56b44a4f87b129d4809bb8a9acb885486139",
"outputTransactionId": "7fc354ba8a5cd0fa124e7f83d54f2a6ee052e57d972ede287d62681123fa4179",
"outputIndex": 1,
"outputGlobalIndex": 43879592,
"outputCreatedAt": 1395372,
"outputSettledAt": 1395375,
"ergoTree": "0008cd026487a1b00b5cfbfebc2778fcc5bbb448c3f7a10a9f76d3105b686ac981bcb453",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6487a1,a30fba,...)))}",
"address": "9fHLQyMLiDz9v7nWuRQJUJo9RoKWRYJZ37sjPRZ8hvp5BQWkzRh",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 278000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8566edcdc759e6e1ede5c5f752b11e1ca187e5dd105efd90ed165f6aeb30ef47",
"value": 470271969341,
"index": 4,
"spendingProof": "59a3a7a2329d59c100a43e78ef8bc0bdb3f34863353ed689d20b11c5a6220bdf3d6c9365ac1ebd886e9af32fe8a2f0e586fc0628231c5af8",
"outputBlockId": "fadc02a9a44343e4c5ee796a4b7d2daa7644b02d57fafd35d0903ce4d3fa89f3",
"outputTransactionId": "b61e55fa423fe0ffe6aac0f4399af4d515111ae9973812035aa0a494242fa77f",
"outputIndex": 2,
"outputGlobalIndex": 43880142,
"outputCreatedAt": 1395380,
"outputSettledAt": 1395382,
"ergoTree": "0008cd026487a1b00b5cfbfebc2778fcc5bbb448c3f7a10a9f76d3105b686ac981bcb453",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6487a1,a30fba,...)))}",
"address": "9fHLQyMLiDz9v7nWuRQJUJo9RoKWRYJZ37sjPRZ8hvp5BQWkzRh",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 200000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2742565098,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "CyberEgg #2900",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d3a10d5547f6a780fa12c7e093d590c80daef2f58b019fcb86843aaaeaa175c4",
"index": 3,
"amount": 1,
"name": "ErgoGames Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "Paideia Staker Round Vesting Key",
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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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},
{
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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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{
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},
{
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{
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},
{
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},
{
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"name": "ERGPOOL LENDING TOKENS v0.12.8",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "f544aa3a273e1b4cd45d72c5712404239db7ebec88d1bbb6c36bb0fe3f8e6e76",
"index": 33,
"amount": 1,
"name": "Auction House Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e1723eed7b9f96d3157a0f75a17007551c3155182e1a0f4225565e11af27e22e",
"index": 34,
"amount": 1,
"name": "Empire of PixelyErgo - Alpha Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3617d24d3d890769870b461c4e1d3598d785329ba8c9fc0cc7a7285a275f6142",
"index": 35,
"amount": 1,
"name": "Crux Finance Phase 1 Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e88eb8e3a5da1dd96150802a88ba49450344698f8b137e4e937d8654b3f2eaa8",
"index": 36,
"amount": 1,
"name": "Crux Finance Phase 1 Vesting Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "79c5d20aa64bf7608a714d516165bcb3991b4e55c9239407ca50e5ba8f6f2552",
"value": 1000000000,
"index": 0,
"outputBlockId": "c86d5a5a0c51630cc9a369a60c05ad659e106e1b4ad240703468ff16ee597456",
"outputTransactionId": "28a7d9c5ffb0350ac8dfa9d4d2b94d1b68836fd5896d04e3958db95802b5961d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64ed9d1be689a78f6a46a22fa3de3da4b5303e5189aece0f91ad8f5e384274c16a07072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "9c4be58b8f721cafc1f4733cf8907720092d6dc54571fc0357535a509e7e8ed3",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 1000000000,
"index": 0,
"globalIndex": 43880809,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"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": 40661354287,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780e8a6f2e764dc9cd8f9ae021206f4acdf88100000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1731931200000,40661354286,9,3,2156653370,0,0]"
},
"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": "0c6402eb4a6c545f09bfa7c6d4e491b6aa6e8fd8fa67aaae3eeef041cfc1d89cd4e5de04072000765f1349ec1e32c76d8538ab38ac1d6e6a24a4381e56aeca9a6151bfe90f96a202072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "db8b44de5a45e6d6daf47c7482ced4e8fd90729d0ca466e0b10bf18faa79361d",
"mainChain": true
},
{
"boxId": "331b8cd6786db270f7255390951202651ee111d2bb856ae759d1f61ba75b9c04",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 1000000,
"index": 1,
"globalIndex": 43880810,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"ergoTree": "10020e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e20233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573d815d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d6027301d603b2da7201018602a57202040000d604b2da7201018602a47202040000d605d9010563d801d607db63087205b472070404b17207d606d9010663b2e4c67206040c64040200d607d9010763b2e4c672070511040000d608d9010863b2e4c672080511040600d609d9010963d801d60be4c672090511b4720b040ab1720bd60ad9010a63e4c6720a061dd60bd9010b63e4c6720b070c3c6464d60cd9010c63e4c6720c0811d60dc5b2a4040000d60ee4e3010c3c0e0ed60fb2720e040000d6108c720f02d611dad901110e7cb4721104100420017210d612d9011263b2db63087212040200d613d9011363b2e4c672130511040200d614d9011463b2e4c67214040c64040000d615d9011563b2e4c672150511040400d196830a0196830a0192c17203c1720493da7205017203da720501720493da7206017203da720601720493da7207017203da720701720493da7208017203da7208017204010193da7209017203da720901720493da720a017203da720a01720493da720b017203da720b01720493da720c017203da720c01720493720d8c720f0193dad901163c0c630eb0dc0c0f8c72160101d9011863db630872180500d90118414d0ed801d61a8c7218029a8c72180195938c721a018c7216028c721a020500018602a5720d0502ed937211998cda7212017203028cda72120172040293721199da7213017203da721301720493b1720e040293db6401e4dc640cda721401720402720ee4e3020edb6401da7214017203afdad901160eaddb0c0eb4721604009d99b1721604200410d9011804d801d61a9c721804107cb472169a721a04209a9a721a04100420017210d9011605937216050092c1b2dad901163c0c630eb58c721601d901186393cbc272188c721602018602a5dad9011632b4e472160402044201b2dc640bdad9011663e4c67216046401b2da7201018602db6501fe73000400000283010e83200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242e4e3000e040000040000c1a7939ada72150172040502da721501720393dad901160e7cb47216040004100172100500",
"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": "50e9e249657eefd9e37ea6dd5e66a30a132066ba92764de9c545dcefac2eceb8",
"mainChain": true
},
{
"boxId": "0de96835504e951c8158e39576a02de65bfcaaf619b92a4dbbddb7d914198431",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 1000000,
"index": 2,
"globalIndex": 43880811,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"ergoTree": "0008cd026487a1b00b5cfbfebc2778fcc5bbb448c3f7a10a9f76d3105b686ac981bcb453",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6487a1,a30fba,...)))}",
"address": "9fHLQyMLiDz9v7nWuRQJUJo9RoKWRYJZ37sjPRZ8hvp5BQWkzRh",
"assets": [
{
"tokenId": "2ece4482792039fbc2cc825c7be2db38210abc76d694aa33314fe190c807e88b",
"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": "db8b44de5a45e6d6daf47c7482ced4e8fd90729d0ca466e0b10bf18faa79361d",
"mainChain": true
},
{
"boxId": "17cea27865af254f055b529093ecfda39e761696eb4cb532bd96f3d7496f40d6",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 100000000,
"index": 3,
"globalIndex": 43880812,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2e511391bdbcb3f4f2b8f883f0809015643b64c65433c1565779d0e9ad5441e9",
"mainChain": true
},
{
"boxId": "b4ac9241b92b0c6b90fa616513219d24607a77606af5265a75ffd7736f138355",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 2350000,
"index": 4,
"globalIndex": 43880813,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"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": "2a4f34ac24db17a1092600ced6f5f304d3560b9b376d3ca59b7a4625c67900b3",
"mainChain": true
},
{
"boxId": "ac4c4ac96994de2ef74940b40e3c1c6422f08b961b80bbe7a81d9737a59640eb",
"transactionId": "45e9d44b7ddb8a54ca266dc810f722127aba83fbc2a55a44e0b17a5289e91dc3",
"blockId": "a9f243d2993c78d94c5dbf0c31479d0c091ed9c5d9aec2faf5863f02317eadfa",
"value": 573809691341,
"index": 5,
"globalIndex": 43880814,
"creationHeight": 1395401,
"settlementHeight": 1395403,
"ergoTree": "0008cd026487a1b00b5cfbfebc2778fcc5bbb448c3f7a10a9f76d3105b686ac981bcb453",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6487a1,a30fba,...)))}",
"address": "9fHLQyMLiDz9v7nWuRQJUJo9RoKWRYJZ37sjPRZ8hvp5BQWkzRh",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 200000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 1,
"amount": 2742565098,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "CyberEgg #2900",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1,
"name": "ErgoGames Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 637190000,
"name": "BEPOS",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 1,
"name": "Paideia Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 637188500,
"name": "EPOS",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 1,
"name": "Spectrum Finance Community Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 1,
"name": "swampaudio staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 1,
"name": "Spectrum Finance Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 1,
"name": "Ergo-Lend Seed Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ca32cafe40c62519768e3ba5435ac0a8fe2679d00a7a67bb7c277e6679622a56",
"index": 11,
"amount": 1,
"name": "duckpools Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 12,
"amount": 20477160000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 49000,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 14,
"amount": 1,
"name": "duckpools Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 1,
"name": "Spectrum Finance Community Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11f38a458e837712714e2994a6a8c93bd67f1b7128ee9ae8bc1c3f3ceefb8f55",
"index": 16,
"amount": 1,
"name": "Cypher",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 17,
"amount": 1139099038,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
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