Transaction
ID: 233bfe671d...aeef
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080011 ERG
Tokens:
1,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
10.83 ERG
Tokens:
Loading assets...
Outputs (7)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00185 ERG
Unspent
Address:
Settlement height:
Value:
10.62 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 63,059
Total coins transferred: 11.83 ERG
Fees: 0.00185 ERG
Fees per byte: 0.000000149 ERG
Raw Transaction Data
{
"id": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"inclusionHeight": 1714156,
"timestamp": 1770149254843,
"index": 4,
"globalIndex": 10248323,
"numConfirmations": 63059,
"inputs": [
{
"boxId": "7eebc8bbd3ef2200d6192b7c16af0ff231f2c31919c0e6a9694f83676fbcd14e",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d792e56b8d2c551edd3736778b7f50bba88cc360ac316d138d5b0d1eb9570ccf",
"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 0,
"outputGlobalIndex": 49894686,
"outputCreatedAt": 1606210,
"outputSettledAt": 1606212,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: 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)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val coll4 = Coll[Byte](\n 3.toByte, -99.toByte, 42.toByte, 10.toByte, 33.toByte, -115.toByte, 124.toByte, 72.toByte, -56.toByte, -3.toByte, 70.toByte, -88.toByte, -46.toByte, -108.toByte, 49.toByte, -67.toByte, 5.toByte, 108.toByte, -124.toByte, -120.toByte, 42.toByte, 33.toByte, 106.toByte, 86.toByte, 115.toByte, 38.toByte, -61.toByte, -57.toByte, -104.toByte, 78.toByte, -56.toByte, 53.toByte\n )\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val func6 = {(box6: Box) => box6.tokens(0) }\n val func7 = {(box7: Box) => box7.tokens(1) }\n val func8 = {(box8: Box) => box8.tokens(2) }\n val func9 = {(tuple9: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple11 = tuple9._2\n val l12 = tuple11._1\n val tuple13 = tuple11._2\n val l14 = tuple13._1\n val l15 = tuple13._2\n tuple9._1.map({(coll16: Coll[Byte]) => if (coll16.size == 9) {(\n val l18 = byteArrayToLong(coll16.slice(1, 9))\n if (l18 < l12) { l12 } else { if (l18 > l14) { l14 } else { l18 } }\n )} else { l15 } }).getOrElse(l15)\n }\n val b10 = getVar[Byte](0.toByte).get\n val i11 = INPUTS.indexOf(SELF, 0)\n val func12 = {(l12: Long) =>\n if (l12 < 128L) { 1 } else {\n if (l12 < 16384L) { 2 } else {\n if (l12 < 2097152L) { 3 } else {\n if (l12 < 268435456L) { 4 } else {\n if (l12 < 34359738368L) { 5 } else {\n if (l12 < 4398046511104L) { 6 } else { if (l12 < 562949953421312L) { 7 } else { if (l12 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b13: Byte) => if (b13 == 11.toByte) {(\n val box15 = OUTPUTS(0)\n val coll16 = CONTEXT.dataInputs\n val box17 = getVar[Box](2.toByte).get\n val coll18 = box17.propositionBytes\n val coll19 = getVar[Coll[Box]](3.toByte).get\n val coll20 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll21 = func3(func2((coll16, coll1))(0)).getMany(Coll[Coll[Byte]](coll4, Coll[Byte](-16.toByte, 54.toByte, 125.toByte, -33.toByte, 52.toByte, 53.toByte, -104.toByte, 31.toByte, 74.toByte, -91.toByte, 87.toByte, 27.toByte, -111.toByte, -35.toByte, 70.toByte, -2.toByte, -127.toByte, 54.toByte, 103.toByte, -14.toByte, -120.toByte, -115.toByte, 79.toByte, -58.toByte, -111.toByte, -106.toByte, -113.toByte, -34.toByte, 21.toByte, -121.toByte, -101.toByte, -105.toByte), Coll[Byte](88.toByte, 30.toByte, -80.toByte, 92.toByte, -24.toByte, 20.toByte, -36.toByte, 63.toByte, 36.toByte, 121.toByte, -28.toByte, -80.toByte, 2.toByte, 125.toByte, -79.toByte, -59.toByte, 73.toByte, 79.toByte, -28.toByte, 32.toByte, 61.toByte, 117.toByte, -124.toByte, 18.toByte, 101.toByte, -10.toByte, -57.toByte, 82.toByte, -105.toByte, -43.toByte, -20.toByte, -63.toByte), blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 112.toByte, 114.toByte, 111.toByte, 112.toByte, 111.toByte, 115.toByte, 97.toByte, 108.toByte, 46.toByte).append(coll18))).append(coll19.map({(box21: Box) => blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(box21.propositionBytes)) })), coll20(1))\n val tuple22 = func7(box15)\n val tuple23 = func7(SELF)\n val coll24 = tuple23._1\n val l25 = tuple23._2\n val tuple26 = func8(box15)\n val tuple27 = func8(SELF)\n val coll28 = tuple27._1\n val i29 = coll19.size\n val box30 = OUTPUTS(1)\n val l31 = box30.value\n val l32 = 9223372036854775807L - l25\n val tuple33 = {(box33: Box) => box33.tokens(0) }(box30)\n val tuple34 = {(box34: Box) => box34.tokens(1) }(box30)\n val coll35 = box30.propositionBytes\n val coll36 = OUTPUTS.slice(2, i29 + 2)\n val box37 = func2((coll16, placeholder[Coll[Byte]](3)))(0)\n val coll38 = coll20(2)\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box15.propositionBytes) == func5(coll21(0)), box15.value >= SELF.value, func6(box15) == func6(SELF), tuple22._1 == coll24, tuple22._2 == l25 - 1L, tuple26._1 == coll28, tuple26._2 == tuple27._2 - i29.toLong, box15.tokens.size == 3)), allOf(Coll[Boolean](l31 >= box17.value, l31 >= 5000000L, {(box39: Box) => box39.R4[Coll[Int]].get(0) }(box30).toLong == l32, tuple33._1 == coll24, tuple33._2 == 1L, tuple34._1 == placeholder[Coll[Byte]](2), tuple34._2 == func9((func3(func2((coll16, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.toByte)), coll20(0))(0), (0L, (100000000000L, 1000L)))), coll35 == coll18, {(box39: Box) => box39.R5[Coll[Long]].get(0) }(box30) >= CONTEXT.preHeader.timestamp + func9((coll21(1), (43200000L, (2626560000L, 86400000L)))), blake2b256(coll35) == func5(coll21(3)), {(box39: Box) => box39.R5[Coll[Long]].get(1) }(box30) == 0L, {(box39: Box) =>\n val coll41 = box39.R5[Coll[Long]].get\n coll41.slice(2, coll41.size)\n }(box30).forall({(l39: Long) => l39 == 0L }))), coll36.indices.forall({(i39: Int) =>\n val box41 = coll36(i39)\n val l42 = box41.value\n val tuple43 = {(box43: Box) => box43.tokens(0) }(box41)\n allOf(Coll[Boolean](l42 >= coll19(i39).value, l42 >= 2000000L, tuple43._1 == coll28, tuple43._2 == 1L, {(box44: Box) => box44.R4[Coll[Long]].get(0) }(box41) == l32, {(box44: Box) => box44.R4[Coll[Long]].get(1) }(box41) > 0L, blake2b256(box41.propositionBytes) == coll21.slice(4, coll21.size).map({(opt44: Option[Coll[Byte]]) => func5(opt44) })(i39)))\n }), {(coll39: Coll[Byte]) => byteArrayToLong(coll39.slice(8, 16)) }({(box39: Box) => box39.R4[Coll[AvlTree]].get(0) }(box37).get(coll38, coll20(3)).get) >= func9((coll21(2), (0L, ({(box39: Box) => box39.R5[Coll[Long]].get(1) }(box37) / 2L, 0L)))), {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.exists({(box41: Box) => box41.tokens.exists({(tuple43: (Coll[Byte], Long)) => tuple43._1 == tuple39._2 }) }) }((OUTPUTS, coll38))))\n )} else { false } }(b10), {(b13: Byte) => if (b13 == 7.toByte) { {(tuple15: (Coll[Byte], Box)) => if (i11 >= OUTPUTS.size) { false } else {(\n val box17 = OUTPUTS(i11)\n val l18 = box17.value\n val l19 = SELF.value\n val coll20 = box17.propositionBytes\n val coll21 = SELF.bytesWithoutRef\n val coll22 = SELF.propositionBytes\n val i23 = SELF.creationInfo._1\n val coll24 = box17.bytesWithoutRef\n val i25 = box17.creationInfo._1\n allOf(Coll[Boolean](l18 >= l19 - 2000000L, blake2b256(coll20) == func5(func3(tuple15._2).getMany(Coll[Coll[Byte]](tuple15._1), getVar[Coll[Byte]](1.toByte).getOrElse(Coll[Byte]()))(0)), coll21.slice(func12(l19) + coll22.size + func12(i23.toLong), coll21.size) == coll24.slice(func12(l18) + coll20.size + func12(i25.toLong), coll24.size), anyOf(Coll[Boolean](i25 - i23 >= 504000, coll22 != coll20))))\n )} }((coll4, func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b10))))\n}",
"address": "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",
"assets": [
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bf32c3308b7ffcb13ef37ff004aa3412d9e83d297e540733d62283e03fac9a43",
"index": 1,
"amount": 9223372036854776000,
"name": "Autolykos Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1428b05ea5e2d1d91558df74094d124a3fbcd1b1bda5f066b572307ba16afad1",
"index": 2,
"amount": 9223372036854776000,
"name": "Autolykos Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "784853e35faa2ca5343c5039fe51a5dbff79bfd87f4d0ae59e4a7bb48adb4725",
"value": 1080011,
"index": 1,
"spendingProof": "d23f45a6bcaae89ae52f991db0612762734deb521c314ddbaae0775fb91eafbb457c68b19b38e5efecd88a5154440b181ea5132e0975cd5c",
"outputBlockId": "6083d7f98a9df47815d024e68ec6a5cf671617489a092c14640d5513e727e7cd",
"outputTransactionId": "a745f9a7784531039afd60aa72cb0bef666c04a35238db96f75ad35491cfea4d",
"outputIndex": 1,
"outputGlobalIndex": 53372245,
"outputCreatedAt": 1714149,
"outputSettledAt": 1714151,
"ergoTree": "0008cd023d8fac1c86ca50a332d878c8acaf7225f9b0c2dc8afac4ea938820168cb2ed07",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3d8fac,715ca5,...)))}",
"address": "9ezB1kZQTjZ5nA5idduLjHwTzpM19kECUzBLnaK4Z3Q9azY17Be",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 10000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "bb22443a4158b17aaa865a0c22f929a55e12b239a30397168c460988a82da2bf",
"value": 1000000,
"index": 2,
"spendingProof": "dac3306c43ba7de01728d4a7dd26c600509996389e2d754243bf02cb705236cc85e53157491c688b1c6454e3236ac69f57a62e5515c4c049",
"outputBlockId": "ca6440228c793acb2061abe8928130dcb8025c72119fb68e0c6f6a778a90863e",
"outputTransactionId": "213ce59e6452eaa85178ba84ea76d6d68f508d16b31f701eb949c958330650fa",
"outputIndex": 2,
"outputGlobalIndex": 53372308,
"outputCreatedAt": 1714150,
"outputSettledAt": 1714152,
"ergoTree": "0008cd023d8fac1c86ca50a332d878c8acaf7225f9b0c2dc8afac4ea938820168cb2ed07",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3d8fac,715ca5,...)))}",
"address": "9ezB1kZQTjZ5nA5idduLjHwTzpM19kECUzBLnaK4Z3Q9azY17Be",
"assets": [
{
"tokenId": "8a78282e9b032419d4a0bba031ad948866dec2d2aa1b68ba44749ba0090d5697",
"index": 0,
"amount": 1,
"name": "Autolykos Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e144175746f6c796b6f73204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "4175746f6c796b6f73204d656d62657273686970"
},
"R5": {
"serializedValue": "0e374175746f6c796b6f73202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "4175746f6c796b6f73202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "6317f18dce2b376b61635997242d556f23aceb231ff31a7fa610d1ad647a1e3b",
"value": 10829090374,
"index": 3,
"spendingProof": "317ea4b56483ade7178fc25e2e0e6c485c5c35ee998b790dc09e0723538348b30bf73be95a48079dea4e24daa2544254285c2fa97205b128",
"outputBlockId": "ca6440228c793acb2061abe8928130dcb8025c72119fb68e0c6f6a778a90863e",
"outputTransactionId": "213ce59e6452eaa85178ba84ea76d6d68f508d16b31f701eb949c958330650fa",
"outputIndex": 5,
"outputGlobalIndex": 53372311,
"outputCreatedAt": 1714150,
"outputSettledAt": 1714152,
"ergoTree": "0008cd023d8fac1c86ca50a332d878c8acaf7225f9b0c2dc8afac4ea938820168cb2ed07",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3d8fac,715ca5,...)))}",
"address": "9ezB1kZQTjZ5nA5idduLjHwTzpM19kECUzBLnaK4Z3Q9azY17Be",
"assets": [
{
"tokenId": "a9d61b26ff3862dc2fdbfff7d381a85e73f0124431e044982dbb09623c42c47b",
"index": 0,
"amount": 6,
"name": "rosen watcher tcg #8 tamara",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e547d5ed33d1be0599760ad8727acbbe5a051e2f82f2d310186f3c07f36bd907",
"index": 1,
"amount": 1,
"name": "WID-bd907-YMsUJ4v",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40704df6041bb147730acbd4eeeaaff420a634b8386cd7b7a0bea1222665b5bf",
"index": 2,
"amount": 6,
"name": "rosen watcher tcg #2 joseph",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9cf5ff5c15f16562761674871d0cef23d20458373e8cff8d68eac0e6ae17b7d1",
"index": 3,
"amount": 17,
"name": "rosen watcher tcg #16 glenda",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 4,
"amount": 1345049,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 5,
"amount": 3102,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "4f826270b6508310eb6d3ff12eb3d3019bb6384623fac6b1d5403a423c6d3772",
"index": 6,
"amount": 6,
"name": "rosen watcher tcg #3 charles",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "62d8979771fd89b496e1ccb9e67677418bd6fcb309cf2f7e2d90415e64e0ff51",
"index": 7,
"amount": 17,
"name": "rosen watcher tcg #18 joel",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 8,
"amount": 41145,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "edd9f92be0b130e2a89bc8cc6b0b8185f2cc3478ede7f868e51cbf183b23d397",
"index": 9,
"amount": 6,
"name": "rosen watcher tcg #4 fateme",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "dc3af05c8f317e0599d58cac574bf499bda4e129a8f86fb43843753285693bd1",
"index": 10,
"amount": 1,
"name": "WID-93bd1-1b6xB2n",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
"index": 11,
"amount": 14500,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b04de3921681a815a46c27716b49525fbfc18418a7d88777dc0947740a11179d",
"index": 12,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "b52966ec06b07966748857518ba1ed401f777517b8da494606c560d40be22022",
"index": 13,
"amount": 1,
"name": "MEWFASA REVOLT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f0cacd02904746d8beb57caf93db7df9d71faf36bd6e932df8882617f1edd77b",
"index": 14,
"amount": 6,
"name": "rosen watcher tcg #6 jeremy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 15,
"amount": 69420,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7d697d9d79ba3583d5e03745b0fa776db6c7f36679ee40d58521ab82dc85ecc0",
"index": 16,
"amount": 17,
"name": "rosen watcher tcg #20 kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7fd9557b7630f177d1cb4b8664fa67c70e624486acde8f43fff12b2e6be5dfd8",
"index": 17,
"amount": 17,
"name": "rosen watcher tcg #17 qx",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 18,
"amount": 6105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "96001f417f4ae71fde82b84c7dd1a3d4873882deacb3c67d50372aa3e5848832",
"index": 19,
"amount": 6,
"name": "rosen watcher tcg #1 mhs sam",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0eebce89b1b146416d0822a40d60216c84e50a368f962820975d90a9762c56c0",
"index": 20,
"amount": 6,
"name": "rosen watcher tcg #10 radni",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f9344a7f95e4b31ac6f7975ba1b69d3b25c8db2c1e207f09da4e2fd66fb5e0a5",
"index": 21,
"amount": 1,
"name": "IIAB - Deep Dream Bubble #37",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "314e824403515470d819ef07ac16483d35f5b04523fdc6232ad92ddab5b8ab8e",
"index": 22,
"amount": 6,
"name": "rosen watcher tcg #9 romain",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "db49ccc2866ac42865319a0e259c44c6fa7daf67648e8edd1d68ba7b49b386ef",
"index": 23,
"amount": 1,
"name": "Rosen Watchers",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "217c79d91a2d57c7ac8942f01e937a900c00323a07a3d68779f63333e63e3d41",
"index": 24,
"amount": 6,
"name": "rosen watcher tcg #7 moein",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "af26707deaead3e8584b9b93de158196071c357007da0adc7235936f49b44691",
"index": 25,
"amount": 1,
"name": "Rosen Watchers TCG",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b39000a44870db05a0c9bd58f650ff176b271698c66e54e8f97ace5cc0f2dfda",
"index": 26,
"amount": 17,
"name": "rosen watcher tcg #15 prof aggelos",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f0d5bdf474fcbd4249608e6dc6e9cf34a327b218f66445ea545b4c711b4676e3",
"index": 27,
"amount": 1234321,
"name": "COS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0847e03a8f5095b057d4c39ce0152bb8875e5491d03ef2178ccf81db8541f9e5",
"index": 28,
"amount": 17,
"name": "rosen watcher tcg #12 jeff",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cff45dbb5bc7c0f7d45b9b9f66e92d332e0b9052d779b43233ca82541d6b5952",
"index": 29,
"amount": 17,
"name": "rosen watcher tcg #14 cw",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "248d1ef071974999e6dbfb32c83bad843e187e953e9396776ffc5a7fc53a6fd4",
"index": 30,
"amount": 17,
"name": "rosen watcher tcg #19 hq",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 31,
"amount": 1222,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ecfbb749d6df0fad4f9f54f183d42ffe26c455005a3a6f896b3e4c6fd1663624",
"index": 32,
"amount": 17,
"name": "rosen watcher tcg #13 vorujack",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9d37c72170914e5834d01bc659e74c66e6c5390492557d17ef03296c6d690b9c",
"index": 33,
"amount": 17,
"name": "rosen watcher tcg #11 raactor",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 34,
"amount": 90144635,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "09d816457c74b79537f708f26e5c55d12e1f57a3b584960d73605852b70779db",
"index": 35,
"amount": 6,
"name": "rosen watcher tcg #5 mohammad",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "0cca9016769f0abbd704bc14e422ba3dd4ec10e00ecd120f36846bb859a16ca0",
"value": 1000000000,
"index": 0,
"outputBlockId": "4c8dc2ed20f330c612719316b3494a4d66de5f0668ecbc6283a0e3bde4207893",
"outputTransactionId": "66b181ec5489107a9bf3c7b13563acee0d31cd0e79d9b837e2a489467dde6f9a",
"outputIndex": 0,
"ergoTree": "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",
"address": "GcZsF8aUAtTocXk59PirRHW3rrM557qMPUguPw1GhqmP3juthaW1A2348h7AQnudG94j2pWu7HrEQJW4HxXsnjj1drFaAse32XWZzyBg8gU9dkaWM49PVoH4sS8DNV69EhpjMt3oZnvnbAMTYNpKCZuW2EdTqpff5qF8ThXZoACGssncq87LSko8Q4v4TFXszK8ZTmeZbxEiz3Df1Y3R34hvi5vqGLGDzERpmQDMqLiWDscz33bzckF7ykkYnBXJACgBU2kPbc1rgqXSSTccb51B3pKDykiP2Y9KaRSp692RWzDwx2QSWc8VJPobs7pGvyKEKHBVXEGGNXeysxHZAP111TZsoUn7QbRH5XpCDQte5oppcPyCDDS5K6T1CEXRPXiTu5hXcyu1fPwht12FCcooCPMQvkp4D7FJzpZU8VaDcztVARN9rzaMBYWPrxVm4oeYtZo1DbsxciaHW9DasVjqTvRzNMz5BdCbXQmGRmkCW9PfmMrxqC24mpBsymh18fbFJtTGPnjXxDkLTrVcYEU5G3fEKfVn1f4JMK4dzBLHRbou19nsVpdo49TKW1RFfob1fHCrhcSjuXfbp7XVvrcN5xGMVHg3UiMWpBEh2evgwLQR7wfwy4Dim4hU8uFfxAxRiivWBgeokvgGYjQ4TL7f8ZZCzss1J6hDk3mWpcboBYtWbXtARguo2cBEcVQhrQM65LcEKCLhH8kL29WkHwNnmtvVL7sQ3CCbi2tCEsceU48VH7W4dDHZj626YALMbLxPQk8Gyw5KcXvYRYfHBNUE6GUq7coDJQrVtMFfiiuoNsoE5PjKEACQkTyADN7JyD7Lu11Lw277KqfNqWMP3fiuagCdCStQj3fMQWin1TFyxCVGMY5q69HkHKzB24tqDG5ddPq7eMACRbQJ7SWar5YnhBn2qbDMXJYf1vv7UUhxcQmG9aH",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64a1db138991f9e426fe847dbae52abd772f8681deb022a8a3d0cad0ef86436f7107072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "564d22d9e8f4e8de50517fa78c9556cf6d4f575c1610861ce9822968f7d44383",
"value": 1000000000,
"index": 1,
"outputBlockId": "d792e56b8d2c551edd3736778b7f50bba88cc360ac316d138d5b0d1eb9570ccf",
"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "644e21f9ad79f08e5f98666a3edc24c9e7666010ef45ebe3a209bffa170e14a76406072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "38987dad28ef63792226d67543400d10d6c5363e193d9b2e2e5b19227708a3f4",
"value": 1000000000,
"index": 2,
"outputBlockId": "ca6440228c793acb2061abe8928130dcb8025c72119fb68e0c6f6a778a90863e",
"outputTransactionId": "213ce59e6452eaa85178ba84ea76d6d68f508d16b31f701eb949c958330650fa",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110788e6afbbd9668ee1111a00000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1764354292100,145479,13,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c640271668f902067854a7899ec5938f962790e3514765191d721fac1dfc463d9d496040720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "97d3ccf9fc2268495cddf52beb40ce6e0f9e4a4ed5fd6be9ea329adb5d0bdf98",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 1000000000,
"index": 0,
"globalIndex": 53372406,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: 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)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val coll4 = Coll[Byte](\n 3.toByte, -99.toByte, 42.toByte, 10.toByte, 33.toByte, -115.toByte, 124.toByte, 72.toByte, -56.toByte, -3.toByte, 70.toByte, -88.toByte, -46.toByte, -108.toByte, 49.toByte, -67.toByte, 5.toByte, 108.toByte, -124.toByte, -120.toByte, 42.toByte, 33.toByte, 106.toByte, 86.toByte, 115.toByte, 38.toByte, -61.toByte, -57.toByte, -104.toByte, 78.toByte, -56.toByte, 53.toByte\n )\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val func6 = {(box6: Box) => box6.tokens(0) }\n val func7 = {(box7: Box) => box7.tokens(1) }\n val func8 = {(box8: Box) => box8.tokens(2) }\n val func9 = {(tuple9: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple11 = tuple9._2\n val l12 = tuple11._1\n val tuple13 = tuple11._2\n val l14 = tuple13._1\n val l15 = tuple13._2\n tuple9._1.map({(coll16: Coll[Byte]) => if (coll16.size == 9) {(\n val l18 = byteArrayToLong(coll16.slice(1, 9))\n if (l18 < l12) { l12 } else { if (l18 > l14) { l14 } else { l18 } }\n )} else { l15 } }).getOrElse(l15)\n }\n val b10 = getVar[Byte](0.toByte).get\n val i11 = INPUTS.indexOf(SELF, 0)\n val func12 = {(l12: Long) =>\n if (l12 < 128L) { 1 } else {\n if (l12 < 16384L) { 2 } else {\n if (l12 < 2097152L) { 3 } else {\n if (l12 < 268435456L) { 4 } else {\n if (l12 < 34359738368L) { 5 } else {\n if (l12 < 4398046511104L) { 6 } else { if (l12 < 562949953421312L) { 7 } else { if (l12 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b13: Byte) => if (b13 == 11.toByte) {(\n val box15 = OUTPUTS(0)\n val coll16 = CONTEXT.dataInputs\n val box17 = getVar[Box](2.toByte).get\n val coll18 = box17.propositionBytes\n val coll19 = getVar[Coll[Box]](3.toByte).get\n val coll20 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll21 = func3(func2((coll16, coll1))(0)).getMany(Coll[Coll[Byte]](coll4, Coll[Byte](-16.toByte, 54.toByte, 125.toByte, -33.toByte, 52.toByte, 53.toByte, -104.toByte, 31.toByte, 74.toByte, -91.toByte, 87.toByte, 27.toByte, -111.toByte, -35.toByte, 70.toByte, -2.toByte, -127.toByte, 54.toByte, 103.toByte, -14.toByte, -120.toByte, -115.toByte, 79.toByte, -58.toByte, -111.toByte, -106.toByte, -113.toByte, -34.toByte, 21.toByte, -121.toByte, -101.toByte, -105.toByte), Coll[Byte](88.toByte, 30.toByte, -80.toByte, 92.toByte, -24.toByte, 20.toByte, -36.toByte, 63.toByte, 36.toByte, 121.toByte, -28.toByte, -80.toByte, 2.toByte, 125.toByte, -79.toByte, -59.toByte, 73.toByte, 79.toByte, -28.toByte, 32.toByte, 61.toByte, 117.toByte, -124.toByte, 18.toByte, 101.toByte, -10.toByte, -57.toByte, 82.toByte, -105.toByte, -43.toByte, -20.toByte, -63.toByte), blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 112.toByte, 114.toByte, 111.toByte, 112.toByte, 111.toByte, 115.toByte, 97.toByte, 108.toByte, 46.toByte).append(coll18))).append(coll19.map({(box21: Box) => blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(box21.propositionBytes)) })), coll20(1))\n val tuple22 = func7(box15)\n val tuple23 = func7(SELF)\n val coll24 = tuple23._1\n val l25 = tuple23._2\n val tuple26 = func8(box15)\n val tuple27 = func8(SELF)\n val coll28 = tuple27._1\n val i29 = coll19.size\n val box30 = OUTPUTS(1)\n val l31 = box30.value\n val l32 = 9223372036854775807L - l25\n val tuple33 = {(box33: Box) => box33.tokens(0) }(box30)\n val tuple34 = {(box34: Box) => box34.tokens(1) }(box30)\n val coll35 = box30.propositionBytes\n val coll36 = OUTPUTS.slice(2, i29 + 2)\n val box37 = func2((coll16, placeholder[Coll[Byte]](3)))(0)\n val coll38 = coll20(2)\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box15.propositionBytes) == func5(coll21(0)), box15.value >= SELF.value, func6(box15) == func6(SELF), tuple22._1 == coll24, tuple22._2 == l25 - 1L, tuple26._1 == coll28, tuple26._2 == tuple27._2 - i29.toLong, box15.tokens.size == 3)), allOf(Coll[Boolean](l31 >= box17.value, l31 >= 5000000L, {(box39: Box) => box39.R4[Coll[Int]].get(0) }(box30).toLong == l32, tuple33._1 == coll24, tuple33._2 == 1L, tuple34._1 == placeholder[Coll[Byte]](2), tuple34._2 == func9((func3(func2((coll16, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.toByte)), coll20(0))(0), (0L, (100000000000L, 1000L)))), coll35 == coll18, {(box39: Box) => box39.R5[Coll[Long]].get(0) }(box30) >= CONTEXT.preHeader.timestamp + func9((coll21(1), (43200000L, (2626560000L, 86400000L)))), blake2b256(coll35) == func5(coll21(3)), {(box39: Box) => box39.R5[Coll[Long]].get(1) }(box30) == 0L, {(box39: Box) =>\n val coll41 = box39.R5[Coll[Long]].get\n coll41.slice(2, coll41.size)\n }(box30).forall({(l39: Long) => l39 == 0L }))), coll36.indices.forall({(i39: Int) =>\n val box41 = coll36(i39)\n val l42 = box41.value\n val tuple43 = {(box43: Box) => box43.tokens(0) }(box41)\n allOf(Coll[Boolean](l42 >= coll19(i39).value, l42 >= 2000000L, tuple43._1 == coll28, tuple43._2 == 1L, {(box44: Box) => box44.R4[Coll[Long]].get(0) }(box41) == l32, {(box44: Box) => box44.R4[Coll[Long]].get(1) }(box41) > 0L, blake2b256(box41.propositionBytes) == coll21.slice(4, coll21.size).map({(opt44: Option[Coll[Byte]]) => func5(opt44) })(i39)))\n }), {(coll39: Coll[Byte]) => byteArrayToLong(coll39.slice(8, 16)) }({(box39: Box) => box39.R4[Coll[AvlTree]].get(0) }(box37).get(coll38, coll20(3)).get) >= func9((coll21(2), (0L, ({(box39: Box) => box39.R5[Coll[Long]].get(1) }(box37) / 2L, 0L)))), {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.exists({(box41: Box) => box41.tokens.exists({(tuple43: (Coll[Byte], Long)) => tuple43._1 == tuple39._2 }) }) }((OUTPUTS, coll38))))\n )} else { false } }(b10), {(b13: Byte) => if (b13 == 7.toByte) { {(tuple15: (Coll[Byte], Box)) => if (i11 >= OUTPUTS.size) { false } else {(\n val box17 = OUTPUTS(i11)\n val l18 = box17.value\n val l19 = SELF.value\n val coll20 = box17.propositionBytes\n val coll21 = SELF.bytesWithoutRef\n val coll22 = SELF.propositionBytes\n val i23 = SELF.creationInfo._1\n val coll24 = box17.bytesWithoutRef\n val i25 = box17.creationInfo._1\n allOf(Coll[Boolean](l18 >= l19 - 2000000L, blake2b256(coll20) == func5(func3(tuple15._2).getMany(Coll[Coll[Byte]](tuple15._1), getVar[Coll[Byte]](1.toByte).getOrElse(Coll[Byte]()))(0)), coll21.slice(func12(l19) + coll22.size + func12(i23.toLong), coll21.size) == coll24.slice(func12(l18) + coll20.size + func12(i25.toLong), coll24.size), anyOf(Coll[Boolean](i25 - i23 >= 504000, coll22 != coll20))))\n )} }((coll4, func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b10))))\n}",
"address": "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",
"assets": [
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bf32c3308b7ffcb13ef37ff004aa3412d9e83d297e540733d62283e03fac9a43",
"index": 1,
"amount": 9223372036854776000,
"name": "Autolykos Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1428b05ea5e2d1d91558df74094d124a3fbcd1b1bda5f066b572307ba16afad1",
"index": 2,
"amount": 9223372036854776000,
"name": "Autolykos Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "d7d8e53ea7e96d1c431af9ab610511dbe5e6735026930c283d7f90d95a605198",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 5000000,
"index": 1,
"globalIndex": 53372407,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: 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)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val b4 = getVar[Byte](0.toByte).get\n val func5 = {(box5: Box) =>\n val coll7 = box5.R5[Coll[Long]].get\n coll7.slice(2, coll7.size)\n }\n val opt6 = getVar[(Int, Long)](10.toByte)\n val tuple7 = (-2, 0L)\n val tuple8 = tuple7\n val tuple9 = opt6.getOrElse(tuple8)\n val i10 = tuple9._1\n val l11 = tuple9._2\n val func12 = {(tuple12: (Coll[Box], Coll[Byte])) => tuple12._1.filter({(box14: Box) => blake2b256(box14.propositionBytes) == tuple12._2 }) }\n val func13 = {(box13: Box) => box13.R4[Coll[Int]].get(0) }\n val func14 = {(box14: Box) => box14.R5[Coll[Long]].get(1) }\n val func15 = {(box15: Box) => box15.R6[AvlTree].get }\n val func16 = {(box16: Box) => box16.R4[Coll[Int]].get(1) }\n val coll17 = placeholder[Coll[Byte]](3)\n val func18 = {(tuple18: (Coll[Box], Coll[Byte])) =>\n tuple18._1.filter({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == tuple18._2 }) })\n }\n val func19 = {(box19: Box) => box19.R4[AvlTree].get }\n val func20 = {(tuple20: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple22 = tuple20._2\n val l23 = tuple22._1\n val tuple24 = tuple22._2\n val l25 = tuple24._1\n val l26 = tuple24._2\n tuple20._1.map({(coll27: Coll[Byte]) => if (coll27.size == 9) {(\n val l29 = byteArrayToLong(coll27.slice(1, 9))\n if (l29 < l23) { l23 } else { if (l29 > l25) { l25 } else { l29 } }\n )} else { l26 } }).getOrElse(l26)\n }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(0) }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b22: Byte) =>\n if (b22 == 12.toByte) {\n {(coll24: Coll[Coll[Byte]]) =>\n allOf(\n Coll[Boolean](\n preHeader3.height - SELF.creationInfo._1 > 788400, coll24.forall({(coll26: Coll[Byte]) => !func2((OUTPUTS, coll26)) }), INPUTS.size == 1\n )\n )\n }(Coll[Coll[Byte]](func1(SELF)._1))\n } else { false }\n }(b4), {(b22: Byte) => if (b22 == 13.toByte) {(\n val coll24 = func5(SELF)\n val coll25 = SELF.propositionBytes\n val box26 = func12((OUTPUTS, blake2b256(coll25)))(0)\n val l27 = box26.value\n val l28 = func14(SELF)\n val coll29 = CONTEXT.dataInputs\n val coll30 = Coll[Byte]()\n val coll31 = func19(func18((coll29, placeholder[Coll[Byte]](0)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-10.toByte, -1.toByte, -117.toByte, 114.toByte, 16.toByte, 1.toByte, 85.toByte, 69.toByte, -44.toByte, -77.toByte, -84.toByte, 95.toByte, -58.toByte, 12.toByte, -112.toByte, -128.toByte, -110.toByte, -48.toByte, 53.toByte, -95.toByte, -95.toByte, 97.toByte, 85.toByte, -64.toByte, 41.toByte, -24.toByte, -43.toByte, 17.toByte, 98.toByte, 124.toByte, 122.toByte, 44.toByte), Coll[Byte](-81.toByte, 120.toByte, 91.toByte, 10.toByte, -35.toByte, -128.toByte, 92.toByte, 92.toByte, 49.toByte, -15.toByte, -52.toByte, 58.toByte, 62.toByte, -106.toByte, -56.toByte, -112.toByte, 8.toByte, -3.toByte, 113.toByte, 39.toByte, 50.toByte, 1.toByte, 7.toByte, -93.toByte, 120.toByte, 75.toByte, 127.toByte, 73.toByte, -23.toByte, 86.toByte, 72.toByte, 66.toByte)), getVar[Coll[Byte]](1.toByte).getOrElse(coll30))\n val tuple32 = (1L, (999L, 500L))\n val opt33 = opt6\n val tuple34 = tuple7\n val tuple35 = tuple8\n val tuple36 = tuple9\n val coll37 = func19(func18((coll29, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.toByte), Coll[Byte](118.toByte, 124.toByte, -86.toByte, -128.toByte, -71.toByte, -114.toByte, 73.toByte, 106.toByte, -40.toByte, -87.toByte, -10.toByte, -119.toByte, -60.toByte, 65.toByte, 10.toByte, -28.toByte, 83.toByte, 50.toByte, 127.toByte, 15.toByte, -107.toByte, -23.toByte, 80.toByte, -124.toByte, -64.toByte, -82.toByte, 32.toByte, 99.toByte, 80.toByte, 121.toByte, 59.toByte, 119.toByte)), getVar[Coll[Byte]](2.toByte).getOrElse(coll30))\n val box38 = func12((OUTPUTS, {(opt38: Option[Coll[Byte]]) => opt38.get.slice(1, 33) }(coll37(1))))(0)\n allOf(Coll[Boolean]((coll24.indices.forall({(i39: Int) => if (i39 == i10) { coll24(i39) == l11 } else { coll24(i39) <= l11 } }) && (coll24.size > i10)) && (i10 >= 0), allOf(Coll[Boolean](box26.propositionBytes == coll25, l27 >= SELF.value - 3000000L, l27 >= 2000000L, func1(box26) == func1(SELF), func13(box26) == func13(SELF), func14(box26) == l28, func5(box26) == coll24, func15(box26) == func15(SELF), func16(box26) == if ((l28 >= {(box39: Box) => box39.R5[Coll[Long]].get(1) }(func18((coll29, coll17))(0)) * func20((coll31(0), tuple32)) / 1000L) && \n val l39 = l11\n l39 >= l28 * func20((coll31(1), tuple32)) / 1000L\n ) { i10 } else { -2 })), preHeader3.timestamp > func21(SELF), allOf(Coll[Boolean](box38.value >= 1000000L, {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.flatMap({(box41: Box) => box41.tokens }).fold(0L, {(tuple41: (Long, (Coll[Byte], Long))) =>\n val tuple43 = tuple41._2\n tuple41._1 + if (tuple43._1 == tuple39._2) { tuple43._2 } else { 0L }\n }) }((Coll[Box](box38), placeholder[Coll[Byte]](2))) >= min(SELF.tokens(1)._2, byteArrayToLong(coll37(0).get.slice(1, 9))))), func16(SELF) == -1))\n )} else { false } }(b4), {(b22: Byte) => if (b22 == 6.toByte) {(\n val coll24 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll25 = coll24(4)\n val coll26 = coll24(3)\n val coll27 = coll26.indices.slice(0, coll26.size / 8).map({(i27: Int) => byteArrayToLong(coll26.slice(i27 * 8, i27 + 1 * 8)) })\n val l28 = coll27.fold(0L, {(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })\n val coll29 = SELF.propositionBytes\n val box30 = func12((OUTPUTS, blake2b256(coll29)))(0)\n val l31 = func21(SELF)\n val avlTree32 = func15(SELF)\n val opt33 = avlTree32.get(coll25, coll24(0))\n val bool34 = opt33.isDefined\n val coll35 = coll24(1)\n val coll36 = func5(SELF)\n val coll37 = func5(box30)\n allOf(Coll[Boolean](byteArrayToLong({(box38: Box) => box38.R4[Coll[AvlTree]].get(0) }(func18((INPUTS, coll17))(0)).get(coll25, coll24(2)).get.slice(8, 16)) >= l28, box30.propositionBytes == coll29, box30.value >= SELF.value, box30.tokens == SELF.tokens, func13(box30) == func13(SELF), func16(box30) == func16(SELF), func21(box30) == l31, func15(box30).digest == if (bool34) { avlTree32.update(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get } else { avlTree32.insert(Coll[(Coll[Byte], Coll[Byte])]((coll25, coll26)), coll35).get }.digest, preHeader3.timestamp < l31, if (bool34) {(\n val coll38 = opt33.get\n val coll39 = coll38.indices.slice(0, coll38.size / 8).map({(i39: Int) => byteArrayToLong(coll38.slice(i39 * 8, i39 + 1 * 8)) })\n allOf(Coll[Boolean](func14(box30) == func14(SELF) - coll39.fold(0L, {(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 }) + l28, coll37 == coll36.zip(coll39.zip(coll27).map({(tuple40: (Long, Long)) => tuple40._2 - tuple40._1 })).map({(tuple40: (Long, Long)) => tuple40._1 + tuple40._2 })))\n )} else { allOf(Coll[Boolean](func14(box30) == func14(SELF) + l28, coll37 == coll36.zip(coll27).map({(tuple38: (Long, Long)) => tuple38._1 + tuple38._2 }))) }, func2((INPUTS, coll25)), coll37 != coll36))\n )} else { false } }(b4)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "bf32c3308b7ffcb13ef37ff004aa3412d9e83d297e540733d62283e03fac9a43",
"index": 0,
"amount": 1,
"name": "Autolykos Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "11048ec8c8ee8767000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1770581987847,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0c576861742773204e6578743f",
"sigmaType": "Coll[SByte]",
"renderedValue": "576861742773204e6578743f"
}
},
"spentTransactionId": "6fe3fa7497526a520eff048610f575feb3fc6a84f27bfa1ad0d5c3904a8c1d06",
"mainChain": true
},
{
"boxId": "bdbe747c5e25e1e7afd0a2250c6642987526d89a5272405b3d786d818abcde8e",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 2000000,
"index": 2,
"globalIndex": 53372408,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(-65,50,-61,48,-117,127,-4,-79,62,-13,127,-16,4,-86,52,18,-39,-24,61,41,126,84,7,51,-42,34,-125,-32,63,-84,-102,67)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val coll4 = placeholder[Coll[Byte]](1)\n val func5 = {(tuple5: (Coll[Box], Coll[Byte])) =>\n tuple5._1.filter({(box7: Box) => box7.tokens.exists({(tuple9: (Coll[Byte], Long)) => tuple9._1 == tuple5._2 }) })\n }\n val func6 = {(box6: Box) => box6.R4[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R4[Coll[Long]].get(1) }\n val func8 = {(box8: Box) => box8.R4[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R4[Coll[Long]].get(2) }\n val func10 = {(box10: Box) => box10.R5[Coll[Box]].get }\n val func11 = {(box11: Box) => box11.R4[Coll[Long]].get(4) }\n val func12 = {(l12: Long) =>\n if (l12 < 128L) { 1 } else {\n if (l12 < 16384L) { 2 } else {\n if (l12 < 2097152L) { 3 } else {\n if (l12 < 268435456L) { 4 } else {\n if (l12 < 34359738368L) { 5 } else {\n if (l12 < 4398046511104L) { 6 } else { if (l12 < 562949953421312L) { 7 } else { if (l12 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n val func13 = {(box13: Box) =>\n val coll15 = box13.bytesWithoutRef\n val i16 = func12(box13.value) + box13.propositionBytes.size\n coll15.slice(0, i16).append(coll15.slice(i16 + func12(box13.creationInfo._1.toLong), coll15.size))\n }\n val func14 = {(coll14: Coll[Box]) =>\n coll14.flatMap({(box16: Box) => box16.tokens }).fold(0L, {(tuple16: (Long, (Coll[Byte], Long))) => tuple16._1 + tuple16._2._2 })\n }\n if (getVar[Byte](0.toByte).get == 12.toByte) {\n sigmaProp(\n {(coll15: Coll[Coll[Byte]]) =>\n allOf(\n Coll[Boolean](\n preHeader3.height - SELF.creationInfo._1 > 788400, coll15.forall({(coll17: Coll[Byte]) => !func2((OUTPUTS, coll17)) }), INPUTS.size == 1\n )\n )\n }(Coll[Coll[Byte]](func1(SELF)._1))\n )\n } else {(\n val coll15 = CONTEXT.dataInputs\n val box16 = func5((coll15, coll4))(0)\n val l17 = func9(SELF)\n val bool18 = l17 > 0L\n val coll19 = func10(SELF)\n val i20 = coll19.size\n val i21 = OUTPUTS.size\n val box22 = OUTPUTS(i21 - 1)\n val bool23 = blake2b256(box22.propositionBytes) == {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func5((coll15, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n -57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte\n )\n ), getVar[Coll[Byte]](1.toByte).get\n )(0)\n )\n val box24 = if (bool23) { OUTPUTS(i21 - 2) } else { box22 }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n {(box25: Box) => box25.tokens(0) }(box16)._1 == coll4, {(box25: Box) => box25.R4[Coll[Int]].get(0) }(box16).toLong == func6(SELF), {(\n box25: Box\n ) => box25.R4[Coll[Int]].get(1) }(box16).toLong == func7(SELF)\n )\n ), preHeader3.timestamp >= func8(SELF), if (bool18) {(\n val coll25 = func10(SELF)\n val box26 = OUTPUTS(coll25.size)\n val l27 = func11(SELF)\n allOf(\n Coll[Boolean](\n box26.value == SELF.value, box26.tokens == SELF.tokens, func6(box26) == func6(SELF), func7(box26) == func7(SELF), func9(\n box26\n ) == l17 - 1L, func8(box26) == func8(SELF) + l27, func11(box26) == l27, func10(box26) == coll25, box26.propositionBytes == SELF.propositionBytes\n )\n )\n )} else { !func2((OUTPUTS, func1(SELF)._1)) }, coll19.zip(OUTPUTS.slice(0, i20)).forall(\n {(tuple25: (Box, Box)) => func13(tuple25._1) == func13(tuple25._2) }\n ), i21 == i20 + if (bool18) { 1 } else { 0 } + if (bool23) { 2 } else { 1 }, func14(INPUTS) == func14(OUTPUTS) + if (bool18) { 0L } else {\n 1L\n }, allOf(Coll[Boolean](box24.value <= 5000000L, box24.tokens.size == 0))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "1428b05ea5e2d1d91558df74094d124a3fbcd1b1bda5f066b572307ba16afad1",
"index": 0,
"amount": 1,
"name": "Autolykos Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105000200808ce28f886700",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,0,1770616800000,0]"
},
"R5": {
"serializedValue": "0c6301c098a8dd030008cd0278dda28a69cc1fe5deeaf64f66f87c0501320c99d714b229450918d3abcf106ae9cf6800009436998592b362572abbb8159ec30d043475e14357492aa7e4c10d04ea06cbbf00",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "a3ac431bc732f1b9238cb613600fe4a2b2bbaa0d66a431fb04db7c250bc5a33d",
"mainChain": true
},
{
"boxId": "d374f7b213bc1a846e53c4c2b982e5e6978d71e90104650876ac207867a7deaf",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 1000000,
"index": 3,
"globalIndex": 53372409,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "0008cd023d8fac1c86ca50a332d878c8acaf7225f9b0c2dc8afac4ea938820168cb2ed07",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3d8fac,715ca5,...)))}",
"address": "9ezB1kZQTjZ5nA5idduLjHwTzpM19kECUzBLnaK4Z3Q9azY17Be",
"assets": [
{
"tokenId": "8a78282e9b032419d4a0bba031ad948866dec2d2aa1b68ba44749ba0090d5697",
"index": 0,
"amount": 1,
"name": "Autolykos Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "7040e4c8bf7674135592fd3f827bb93dc4539414ee90b2c9a87da86b0b9eff6b",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 200000000,
"index": 4,
"globalIndex": 53372410,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "39b371d874a43a9fccc25f67d2bce395eeaa2a00a8861856c3ace5ab43068436",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 1850000,
"index": 5,
"globalIndex": 53372411,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"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": "65f748773d74a34c9ad8d6908611c12ff176d581c96a5d837fc5cc65fc3aea59",
"mainChain": true
},
{
"boxId": "f30a5791cda7c2d437ad10a6a3db7894ffdf123462817cd8c5ee6fe9ffeb5a58",
"transactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"blockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"value": 10621320385,
"index": 6,
"globalIndex": 53372412,
"creationHeight": 1714153,
"settlementHeight": 1714156,
"ergoTree": "0008cd023d8fac1c86ca50a332d878c8acaf7225f9b0c2dc8afac4ea938820168cb2ed07",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3d8fac,715ca5,...)))}",
"address": "9ezB1kZQTjZ5nA5idduLjHwTzpM19kECUzBLnaK4Z3Q9azY17Be",
"assets": [
{
"tokenId": "a9d61b26ff3862dc2fdbfff7d381a85e73f0124431e044982dbb09623c42c47b",
"index": 0,
"amount": 6,
"name": "rosen watcher tcg #8 tamara",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e547d5ed33d1be0599760ad8727acbbe5a051e2f82f2d310186f3c07f36bd907",
"index": 1,
"amount": 1,
"name": "WID-bd907-YMsUJ4v",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40704df6041bb147730acbd4eeeaaff420a634b8386cd7b7a0bea1222665b5bf",
"index": 2,
"amount": 6,
"name": "rosen watcher tcg #2 joseph",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9cf5ff5c15f16562761674871d0cef23d20458373e8cff8d68eac0e6ae17b7d1",
"index": 3,
"amount": 17,
"name": "rosen watcher tcg #16 glenda",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 4,
"amount": 1345049,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 5,
"amount": 3102,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "4f826270b6508310eb6d3ff12eb3d3019bb6384623fac6b1d5403a423c6d3772",
"index": 6,
"amount": 6,
"name": "rosen watcher tcg #3 charles",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "62d8979771fd89b496e1ccb9e67677418bd6fcb309cf2f7e2d90415e64e0ff51",
"index": 7,
"amount": 17,
"name": "rosen watcher tcg #18 joel",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 8,
"amount": 41145,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "edd9f92be0b130e2a89bc8cc6b0b8185f2cc3478ede7f868e51cbf183b23d397",
"index": 9,
"amount": 6,
"name": "rosen watcher tcg #4 fateme",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "dc3af05c8f317e0599d58cac574bf499bda4e129a8f86fb43843753285693bd1",
"index": 10,
"amount": 1,
"name": "WID-93bd1-1b6xB2n",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
"index": 11,
"amount": 14500,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b04de3921681a815a46c27716b49525fbfc18418a7d88777dc0947740a11179d",
"index": 12,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "b52966ec06b07966748857518ba1ed401f777517b8da494606c560d40be22022",
"index": 13,
"amount": 1,
"name": "MEWFASA REVOLT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f0cacd02904746d8beb57caf93db7df9d71faf36bd6e932df8882617f1edd77b",
"index": 14,
"amount": 6,
"name": "rosen watcher tcg #6 jeremy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 15,
"amount": 69420,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7d697d9d79ba3583d5e03745b0fa776db6c7f36679ee40d58521ab82dc85ecc0",
"index": 16,
"amount": 17,
"name": "rosen watcher tcg #20 kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 17,
"amount": 5000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7fd9557b7630f177d1cb4b8664fa67c70e624486acde8f43fff12b2e6be5dfd8",
"index": 18,
"amount": 17,
"name": "rosen watcher tcg #17 qx",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 19,
"amount": 6105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "96001f417f4ae71fde82b84c7dd1a3d4873882deacb3c67d50372aa3e5848832",
"index": 20,
"amount": 6,
"name": "rosen watcher tcg #1 mhs sam",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0eebce89b1b146416d0822a40d60216c84e50a368f962820975d90a9762c56c0",
"index": 21,
"amount": 6,
"name": "rosen watcher tcg #10 radni",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f9344a7f95e4b31ac6f7975ba1b69d3b25c8db2c1e207f09da4e2fd66fb5e0a5",
"index": 22,
"amount": 1,
"name": "IIAB - Deep Dream Bubble #37",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "314e824403515470d819ef07ac16483d35f5b04523fdc6232ad92ddab5b8ab8e",
"index": 23,
"amount": 6,
"name": "rosen watcher tcg #9 romain",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "db49ccc2866ac42865319a0e259c44c6fa7daf67648e8edd1d68ba7b49b386ef",
"index": 24,
"amount": 1,
"name": "Rosen Watchers",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "217c79d91a2d57c7ac8942f01e937a900c00323a07a3d68779f63333e63e3d41",
"index": 25,
"amount": 6,
"name": "rosen watcher tcg #7 moein",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "af26707deaead3e8584b9b93de158196071c357007da0adc7235936f49b44691",
"index": 26,
"amount": 1,
"name": "Rosen Watchers TCG",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b39000a44870db05a0c9bd58f650ff176b271698c66e54e8f97ace5cc0f2dfda",
"index": 27,
"amount": 17,
"name": "rosen watcher tcg #15 prof aggelos",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f0d5bdf474fcbd4249608e6dc6e9cf34a327b218f66445ea545b4c711b4676e3",
"index": 28,
"amount": 1234321,
"name": "COS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0847e03a8f5095b057d4c39ce0152bb8875e5491d03ef2178ccf81db8541f9e5",
"index": 29,
"amount": 17,
"name": "rosen watcher tcg #12 jeff",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cff45dbb5bc7c0f7d45b9b9f66e92d332e0b9052d779b43233ca82541d6b5952",
"index": 30,
"amount": 17,
"name": "rosen watcher tcg #14 cw",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "248d1ef071974999e6dbfb32c83bad843e187e953e9396776ffc5a7fc53a6fd4",
"index": 31,
"amount": 17,
"name": "rosen watcher tcg #19 hq",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 32,
"amount": 1222,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ecfbb749d6df0fad4f9f54f183d42ffe26c455005a3a6f896b3e4c6fd1663624",
"index": 33,
"amount": 17,
"name": "rosen watcher tcg #13 vorujack",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9d37c72170914e5834d01bc659e74c66e6c5390492557d17ef03296c6d690b9c",
"index": 34,
"amount": 17,
"name": "rosen watcher tcg #11 raactor",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 35,
"amount": 90144635,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "09d816457c74b79537f708f26e5c55d12e1f57a3b584960d73605852b70779db",
"index": 36,
"amount": 6,
"name": "rosen watcher tcg #5 mohammad",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
}
],
"size": 12413,
"isUnconfirmed": false
}