Token
5cdb9bc56611dea2a5b696a4b3ea80d7e3dff8423f90a693d65a26faa215e0ca
ID
5cdb9bc56611dea2a5b696a4b3ea80d7e3dff8423f90a693d65a26faa215e0ca
Name
Paideia Membership
Emission amount
1
Decimals
0
Description
Paideia - Powered by Paideia - https://app.paideia.im
Type
EIP-004
Issuer Box
{ "boxId": "5cdb9bc56611dea2a5b696a4b3ea80d7e3dff8423f90a693d65a26faa215e0ca", "transactionId": "01d3870a62573c348b7daecb6ce8e03908e24fb185b9d6962a424a8e3066edd9", "blockId": "d5badad5db6bf5b346e7503280523bea863b7e4ea256c9aad6523a9c956537cf", "value": 1000000000, "index": 1, "globalIndex": 8940016, "creationHeight": 1380363, "settlementHeight": 1380365, "ergoTree": "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", "ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)", "ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}", "address": "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", "assets": [ { "tokenId": "00acf1fefff7181e8c4f9476112dd4400212a2c5856d10384f998ce86a8a4c78", "index": 0, "amount": 1, "name": "Paideia Stake State", "decimals": 0, "type": "EIP-004" }, { "tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983", "index": 1, "amount": 1, "name": "bPaideia", "decimals": 4, "type": "EIP-004" } ], "additionalRegisters": { "R5": { "serializedValue": "110780d4fbfad764000000000000", "sigmaType": "Coll[SLong]", "renderedValue": "[1729792800000,0,0,0,0,0,0]" }, "R6": { "serializedValue": "1d050180d7bdf6220100010001140114", "sigmaType": "Coll[Coll[SLong]]", "renderedValue": "[[4687640000],[0],[0],[10],[10]]" }, "R8": { "serializedValue": "1102dcd6a38502e0eac304", "sigmaType": "Coll[SLong]", "renderedValue": "[273970606,4750000]" }, "R7": { "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000", "sigmaType": null, "renderedValue": null }, "R4": { "serializedValue": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000", "sigmaType": null, "renderedValue": null } }, "spentTransactionId": "f16468963a073bd5136beb9276c10041d8ff5512e4a2003d8b0bb2a47b89273d", "mainChain": true }