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Inputs (3)
Output transaction:
Settlement height:
Value:
41.26 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
50,000
Outputs (4)
Spent in transaction:
Settlement height:
Value:
3.11 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
5 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
33.15 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 6.59 KB
Received time: 8/7/2025 05:32:19 AM
Included in blocks: 1,585,189
Confirmations: 179,110
Total coins transferred: 41.26 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000148 ERG
Raw Transaction Data
{
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  "blockId": "c7ef60190ca81c0a3fec6c8f0473aee375306c304c2b19a09bf5e242f66dafc5",
  "inclusionHeight": 1585189,
  "timestamp": 1754544739003,
  "index": 1,
  "globalIndex": 9315407,
  "numConfirmations": 179110,
  "inputs": [
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      "spendingProof": "eba34297447cf6be1015b0f882b190131d445ff9cac13a445aed61669262c62c02e5a1fc2f540ba7cf5ea0464a3416cc4a5d0b02979d333d",
      "outputBlockId": "7bf5ecb46925d91fcf184fdb3a973c6fe1c5ba544e3ee8204409d80df77c1e4c",
      "outputTransactionId": "2f6d84543dc5a58056e36f8cd00ed1762505c3b28a6a90b303a64e187f367117",
      "outputIndex": 3,
      "outputGlobalIndex": 49065893,
      "outputCreatedAt": 1574977,
      "outputSettledAt": 1574979,
      "ergoTree": "0008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(87eb77,5aace3,...)))}",
      "address": "9fYvQMsMN3NNaw33cAFnRdyHy1DpxtxfADvGqUV3ocLptw4HpcP",
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        },
        {
          "tokenId": "59bfddd970ac85c0b12c49e48847260669fa1332ac75921934f87e441adaaa5e",
          "index": 68,
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          "name": "CyberVerse Skin - Kushti",
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          "type": "EIP-004"
        },
        {
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          "name": "HOT ALIENS TO F*** ON BLOCKCHAIN",
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          "type": "EIP-004"
        },
        {
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          "index": 70,
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          "type": "EIP-004"
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        {
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        {
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        },
        {
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          "index": 73,
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          "name": "[CyberVerse] Banned Emote ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "type": "EIP-004"
        },
        {
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        {
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          "type": "EIP-004"
        },
        {
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          "index": 77,
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          "type": "EIP-004"
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        {
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          "name": "Ergo Inu",
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          "type": "EIP-004"
        },
        {
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          "name": "COS",
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          "type": "EIP-004"
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        {
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          "index": 80,
          "amount": 100,
          "name": "ProxyToken",
          "decimals": 5,
          "type": "EIP-004"
        },
        {
          "tokenId": "394b9d54c1de7e19c4cb358ab54886fe996436d4dc617b7c5150aef56365d052",
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          "name": "CyberPet #102",
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          "type": "EIP-004"
        },
        {
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          "name": "eVOTE3",
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        },
        {
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          "index": 83,
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          "name": "Bulls on Parade 2024",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 84,
          "amount": 50,
          "name": "btc-SHARK",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "261e750be8aaa00cbda04c807e3dcc6ccf397900ba245b790ed8df8cee9e49f7",
          "index": 85,
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          "name": "PoW WoW Girls #1433",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1f649a7560f9d1b697d4225c57c9040c9101e4181dae134541ee8afec92944c5",
          "index": 86,
          "amount": 1000000,
          "name": "catWITHbat",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9cba7d5b4717de69e9842dda0ece37712ff562d34807f52bb835f1920aea8c82",
          "index": 87,
          "amount": 1998,
          "name": "Cornell AAP DAO 24-25",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "75c44ed6ab1621f6d3745e945818b4d838df20942e63a7fa05a5b6a20ec8122b",
          "index": 88,
          "amount": 2598077,
          "name": "Peppo the Clown",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "908e2b3278f2f448918563874d816ac9d2c0f014237229a8470eae38b7539e2b",
          "index": 89,
          "amount": 1,
          "name": "Cybercitizen #7888",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fe59a32e87be05a72a59a10fd8f787bcb1be3ba768de8fac9d7d2a09c88c84d7",
          "index": 90,
          "amount": 1,
          "name": "Ergonium Jackhammer #82",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fc8558c89c47cb146aa59bedaabe03be5e000c8a2cfb995671a058e8762daf20",
          "index": 91,
          "amount": 1,
          "name": "[Cyberia] Apartment #30",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "37df03dec0a0862af6e6ac9763a805c4d533b423fd221e74db4589d506ce30dc",
          "index": 92,
          "amount": 1,
          "name": "Mew Fun Lottery Ticket",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "debd371722652c7103830012f7155d3569c6490ee01b4c1bd135f18098e4e906",
          "index": 93,
          "amount": 1,
          "name": "Cybercitizen #4012",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8913418f0b9cf2475686eae2dfebed029745de3ee4c423a78dbd32258a5102c1",
          "index": 94,
          "amount": 1,
          "name": "sig_ergoversary",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "7184abe215a8c8c80ee4068e588fc0b11f04bb2cbc23ae2ab3379c58c3e72ebe",
          "index": 95,
          "amount": 1,
          "name": "Cybercitizen #1129",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d00daaaafb51fca1294639bb658b61e6f168f0afc8b42151753f6a1fe7bc7e8d",
          "index": 96,
          "amount": 69420,
          "name": "soon™",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ba0e4af3496e538623bb0abfcbd2df61252656de854c37452f907426bec2cda4",
          "index": 97,
          "amount": 300,
          "name": "SEGGS",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a500898895f20a86122fb86ef82f6eb2467fed1c0b7243373af32eac0ad8bdda",
          "index": 98,
          "amount": 2,
          "name": "Donald Duck 100x ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2dc962433f54dc9fffc5575b8bbed5242bb18cd9aa7916fcd92f4ffe4621c49c",
          "index": 99,
          "amount": 1,
          "name": "CyberVerse Skin - Blade",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "8a668eac5065ca9dac434f1a8f9e0874bd0f704b99fff21cb5529a0d60742b1e",
      "value": 1000000,
      "index": 1,
      "spendingProof": "4548e3957d2b0c0cc12e16952f1e96d0a7a5cbfd034adc789b49b218781462420db089422afdf7497c12d6bf085321ad0b807b1b5a597a83",
      "outputBlockId": "c6ffe36f33b7233bb01bc44225ada0f31ddc8427e2b900d06e852104e11ebd1a",
      "outputTransactionId": "86dc71dbf33801ee41d2f7f9ba13e1defe866e7244e50d987de37a4aa8a2647f",
      "outputIndex": 0,
      "outputGlobalIndex": 49090158,
      "outputCreatedAt": 1575891,
      "outputSettledAt": 1575892,
      "ergoTree": "0008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(87eb77,5aace3,...)))}",
      "address": "9fYvQMsMN3NNaw33cAFnRdyHy1DpxtxfADvGqUV3ocLptw4HpcP",
      "assets": [
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 0,
          "amount": 10000000,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "94eaca2df825c2e80cd061c70ac7c2380cf95b7bed152ceb46d368520b11d168",
      "value": 1000000,
      "index": 2,
      "spendingProof": "9bf490182f8c331add28ba6ea79f8caccac9ea352fa74e9344fdc1087a39a403f7530786e69a6008eb5b104c46f1a14ed300a4485794e6c4",
      "outputBlockId": "96460573ca74446402753e0e3e3f7cbf9170ef1714614007b03055248d21da13",
      "outputTransactionId": "dbd34163c5eab5c01c0ca2e30e8366c2a26d1609b353e0108b6bc7a6839c7c62",
      "outputIndex": 0,
      "outputGlobalIndex": 49153743,
      "outputCreatedAt": 1578589,
      "outputSettledAt": 1578591,
      "ergoTree": "0008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(87eb77,5aace3,...)))}",
      "address": "9fYvQMsMN3NNaw33cAFnRdyHy1DpxtxfADvGqUV3ocLptw4HpcP",
      "assets": [
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 0,
          "amount": 500000000,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "2dad2d0a5a27ff82518422b0cc6797e50a6e8275c90e95557fc0611b82e34819",
      "transactionId": "dc1c8e1261829919bae0dafcf1772409cdbe33d193e65cd7caf6f7923d43df66",
      "blockId": "c7ef60190ca81c0a3fec6c8f0473aee375306c304c2b19a09bf5e242f66dafc5",
      "value": 3113000000,
      "index": 0,
      "globalIndex": 49312111,
      "creationHeight": 1585186,
      "settlementHeight": 1585189,
      "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 func1 = {(opt1: Option[Coll[Byte]]) => opt1.get.slice(1, 33) }\n  sigmaProp(if (OUTPUTS.size == 2) { {(tuple2: (Box, (Box, (Coll[Byte], Int)))) =>\n        val tuple4 = tuple2._2\n        val box5 = tuple4._1\n        val box6 = tuple2._1\n        val tuple7 = tuple4._2\n        allOf(Coll[Boolean](box5.value >= box6.value - 1000000L, box5.tokens == box6.tokens, box5.propositionBytes == tuple7._1, CONTEXT.preHeader.height >= box6.creationInfo._1 + tuple7._2))\n      }((SELF, (OUTPUTS(0), (SELF.R6[Coll[Byte]].get, 15)))) } else {(\n      val box2 = CONTEXT.dataInputs(0)\n      val avlTree3 = getVar[AvlTree](1.toByte).get\n      val box4 = OUTPUTS(0)\n      val coll5 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](-123.toByte, -126.toByte, 49.toByte, 25.toByte, -14.toByte, 96.toByte, -57.toByte, -69.toByte, -17.toByte, 91.toByte, 10.toByte, 69.toByte, 78.toByte, -79.toByte, -26.toByte, 67.toByte, -22.toByte, 98.toByte, -63.toByte, 27.toByte, -91.toByte, 75.toByte, 108.toByte, 40.toByte, 114.toByte, -14.toByte, 68.toByte, -44.toByte, 66.toByte, -3.toByte, 57.toByte, 127.toByte), Coll[Byte](8.toByte, 3.toByte, -121.toByte, 15.toByte, -57.toByte, -119.toByte, -94.toByte, -45.toByte, 34.toByte, 7.toByte, -85.toByte, -127.toByte, -4.toByte, -127.toByte, -12.toByte, 90.toByte, 68.toByte, 113.toByte, 31.toByte, 43.toByte, 88.toByte, 14.toByte, -10.toByte, -25.toByte, -46.toByte, 96.toByte, -11.toByte, 22.toByte, 64.toByte, 52.toByte, 77.toByte, 43.toByte)), getVar[Coll[Byte]](0.toByte).get)\n      val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n      val coll7 = coll6(0)\n      val coll8 = coll6(1)\n      val coll9 = SELF.id\n      val coll10 = box4.tokens\n      val tuple11 = coll10(1)\n      val box12 = OUTPUTS(3)\n      val tuple13 = box12.tokens(0)\n      val coll14 = box12.R4[Coll[Byte]].get\n      allOf(Coll[Boolean](box2.tokens(0)._1 == placeholder[Coll[Byte]](0), Coll[Byte](78.toByte, -58.toByte, 31.toByte, 72.toByte, 91.toByte, -104.toByte, -21.toByte, -121.toByte, 21.toByte, 63.toByte, 124.toByte, 87.toByte, -37.toByte, 79.toByte, 94.toByte, -51.toByte, 117.toByte, 85.toByte, 111.toByte, -35.toByte, -68.toByte, 64.toByte, 59.toByte, 65.toByte, -84.toByte, -8.toByte, 68.toByte, 31.toByte, -34.toByte, -114.toByte, 22.toByte, 9.toByte, 0.toByte) == avlTree3.digest, allOf(Coll[Boolean](blake2b256(box4.propositionBytes) == func1(coll5(0)), box4.R4[AvlTree].get.digest == avlTree3.insert(Coll[(Coll[Byte], Coll[Byte])]((Coll[Byte](37.toByte, -75.toByte, -102.toByte, 116.toByte, 0.toByte, -35.toByte, -76.toByte, -39.toByte, 37.toByte, 58.toByte, 20.toByte, 83.toByte, 113.toByte, -73.toByte, -52.toByte, -114.toByte, -40.toByte, 97.toByte, 99.toByte, -40.toByte, -2.toByte, -87.toByte, 44.toByte, -43.toByte, 112.toByte, -116.toByte, -122.toByte, 18.toByte, -13.toByte, -42.toByte, -109.toByte, -81.toByte), coll7), (Coll[Byte](-72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte), coll8), (Coll[Byte](-54.toByte, 11.toByte, -75.toByte, -24.toByte, -54.toByte, -41.toByte, 24.toByte, 34.toByte, 92.toByte, -113.toByte, 45.toByte, 2.toByte, 97.toByte, -96.toByte, -48.toByte, -107.toByte, -14.toByte, 93.toByte, 94.toByte, -121.toByte, 70.toByte, 10.toByte, -122.toByte, 51.toByte, -12.toByte, 0.toByte, -36.toByte, 60.toByte, -55.toByte, 7.toByte, -111.toByte, 47.toByte), Coll[Byte](10.toByte, 0.toByte, 0.toByte, 0.toByte, 0.toByte, 32.toByte).append(coll9)), (Coll[Byte](38.toByte, 14.toByte, 88.toByte, -72.toByte, 79.toByte, -98.toByte, 0.toByte, -66.toByte, 90.toByte, 127.toByte, -91.toByte, 18.toByte, 7.toByte, 50.toByte, -113.toByte, -85.toByte, -41.toByte, 16.toByte, -114.toByte, -101.toByte, -22.toByte, 5.toByte, 101.toByte, 122.toByte, -70.toByte, -92.toByte, 93.toByte, 1.toByte, 52.toByte, -97.toByte, -62.toByte, 101.toByte), coll6(2)), (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), coll6(3)), (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), coll6(4)), (Coll[Byte](-80.toByte, -71.toByte, 7.toByte, -85.toByte, -81.toByte, -83.toByte, -115.toByte, -1.toByte, -50.toByte, 47.toByte, -97.toByte, 29.toByte, -6.toByte, 21.toByte, 53.toByte, -64.toByte, 34.toByte, -35.toByte, -96.toByte, 83.toByte, 102.toByte, -12.toByte, -5.toByte, -46.toByte, 127.toByte, 88.toByte, 29.toByte, 19.toByte, 47.toByte, 75.toByte, 35.toByte, -10.toByte), coll6(5)), (Coll[Byte](-101.toByte, 22.toByte, -79.toByte, -128.toByte, -127.toByte, 39.toByte, 77.toByte, -62.toByte, 47.toByte, 24.toByte, -24.toByte, 89.toByte, 25.toByte, -106.toByte, -94.toByte, 102.toByte, -45.toByte, -71.toByte, 33.toByte, -73.toByte, 113.toByte, -127.toByte, 12.toByte, -54.toByte, 12.toByte, -72.toByte, -25.toByte, 18.toByte, 74.toByte, -40.toByte, 8.toByte, -66.toByte), coll6(6)), (Coll[Byte](65.toByte, -13.toByte, -104.toByte, -128.toByte, 101.toByte, 82.toByte, -124.toByte, 94.toByte, 82.toByte, 0.toByte, -112.toByte, 50.toByte, 16.toByte, 95.toByte, 89.toByte, -27.toByte, -53.toByte, 44.toByte, -79.toByte, 65.toByte, -34.toByte, 99.toByte, -52.toByte, 115.toByte, 123.toByte, 109.toByte, -103.toByte, 87.toByte, 83.toByte, -61.toByte, 110.toByte, -127.toByte), coll6(7)), (Coll[Byte](-2.toByte, 33.toByte, -71.toByte, 115.toByte, -52.toByte, -76.toByte, -39.toByte, 31.toByte, 40.toByte, -117.toByte, 28.toByte, 91.toByte, 58.toByte, 79.toByte, 109.toByte, -98.toByte, 12.toByte, 82.toByte, -10.toByte, -79.toByte, 99.toByte, -61.toByte, -121.toByte, -94.toByte, 55.toByte, 14.toByte, -76.toByte, -7.toByte, -76.toByte, 0.toByte, 26.toByte, 62.toByte), coll6(8)), (Coll[Byte](40.toByte, -58.toByte, -124.toByte, 89.toByte, 62.toByte, 17.toByte, 78.toByte, 122.toByte, 82.toByte, 44.toByte, -90.toByte, -26.toByte, -112.toByte, -104.toByte, 119.toByte, -83.toByte, 10.toByte, 121.toByte, -82.toByte, -103.toByte, -37.toByte, 109.toByte, 108.toByte, -44.toByte, 56.toByte, 25.toByte, -93.toByte, 77.toByte, 80.toByte, 91.toByte, 55.toByte, -24.toByte), coll6(9)), (Coll[Byte](59.toByte, 8.toByte, 57.toByte, -57.toByte, -9.toByte, 126.toByte, -4.toByte, -122.toByte, -37.toByte, -96.toByte, -92.toByte, 95.toByte, -86.toByte, -51.toByte, 100.toByte, -90.toByte, 56.toByte, -74.toByte, -114.toByte, 10.toByte, -62.toByte, 106.toByte, -88.toByte, 10.toByte, 21.toByte, -116.toByte, -114.toByte, -66.toByte, 87.toByte, -82.toByte, 21.toByte, -125.toByte), coll6(10)), (Coll[Byte](-9.toByte, -4.toByte, 55.toByte, -34.toByte, 3.toByte, -16.toByte, 24.toByte, 93.toByte, -14.toByte, -63.toByte, -57.toByte, -57.toByte, -69.toByte, 92.toByte, 6.toByte, 79.toByte, 48.toByte, -46.toByte, 18.toByte, -3.toByte, 91.toByte, 107.toByte, 65.toByte, -91.toByte, -81.toByte, -28.toByte, 88.toByte, 12.toByte, 119.toByte, 87.toByte, 3.toByte, 121.toByte), coll6(11)), (Coll[Byte](94.toByte, -3.toByte, -61.toByte, -19.toByte, -105.toByte, 38.toByte, -124.toByte, -53.toByte, 33.toByte, -113.toByte, -80.toByte, -125.toByte, 116.toByte, 67.toByte, -6.toByte, 60.toByte, -78.toByte, 66.toByte, -46.toByte, 60.toByte, -77.toByte, 75.toByte, 42.toByte, 30.toByte, 65.toByte, 17.toByte, 102.toByte, 36.toByte, 37.toByte, 89.toByte, 42.toByte, -112.toByte), coll6(12)), (Coll[Byte](-126.toByte, 12.toByte, -72.toByte, 9.toByte, -53.toByte, -3.toByte, -77.toByte, 57.toByte, -80.toByte, -46.toByte, 29.toByte, -67.toByte, 120.toByte, 104.toByte, 120.toByte, -123.toByte, 74.toByte, -89.toByte, 26.toByte, -111.toByte, -61.toByte, 111.toByte, 121.toByte, -74.toByte, 17.toByte, -22.toByte, 107.toByte, -52.toByte, -51.toByte, 75.toByte, 68.toByte, -55.toByte), coll6(13)), (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), coll6(14)), (Coll[Byte](115.toByte, -85.toByte, 38.toByte, -94.toByte, -77.toByte, 88.toByte, 99.toByte, 61.toByte, -14.toByte, 34.toByte, -70.toByte, -121.toByte, 33.toByte, -21.toByte, 66.toByte, -87.toByte, 65.toByte, -60.toByte, -26.toByte, 109.toByte, -95.toByte, -88.toByte, -37.toByte, 68.toByte, -81.toByte, -49.toByte, 124.toByte, 24.toByte, 92.toByte, -68.toByte, -17.toByte, 63.toByte), coll6(15)), (Coll[Byte](88.toByte, -91.toByte, -19.toByte, 72.toByte, -33.toByte, 65.toByte, 88.toByte, -84.toByte, 19.toByte, 108.toByte, -126.toByte, -83.toByte, 46.toByte, -23.toByte, -7.toByte, -16.toByte, 79.toByte, -15.toByte, 28.toByte, -109.toByte, 59.toByte, 13.toByte, 22.toByte, -53.toByte, -51.toByte, 16.toByte, 118.toByte, 94.toByte, 3.toByte, -68.toByte, 94.toByte, -1.toByte), coll6(16)), (Coll[Byte](-9.toByte, -9.toByte, 56.toByte, 80.toByte, 78.toByte, 5.toByte, 18.toByte, -80.toByte, 118.toByte, -10.toByte, 53.toByte, 2.toByte, -15.toByte, 29.toByte, -54.toByte, -62.toByte, 39.toByte, 28.toByte, 108.toByte, 96.toByte, -123.toByte, -51.toByte, 42.toByte, 95.toByte, -84.toByte, 114.toByte, -24.toByte, -113.toByte, 78.toByte, -24.toByte, 108.toByte, -9.toByte), coll6(17)), (Coll[Byte](2.toByte, -101.toByte, -26.toByte, -45.toByte, 69.toByte, 72.toByte, -94.toByte, -125.toByte, 63.toByte, 7.toByte, 62.toByte, 83.toByte, 46.toByte, -117.toByte, 17.toByte, 23.toByte, -4.toByte, 8.toByte, 38.toByte, 71.toByte, -96.toByte, -62.toByte, -29.toByte, -12.toByte, -127.toByte, -18.toByte, 41.toByte, -30.toByte, 61.toByte, -117.toByte, -118.toByte, 31.toByte), coll6(18)), (Coll[Byte](43.toByte, -28.toByte, -110.toByte, 111.toByte, 20.toByte, -47.toByte, 21.toByte, -81.toByte, -39.toByte, -49.toByte, 17.toByte, 51.toByte, -9.toByte, -18.toByte, 73.toByte, -101.toByte, 93.toByte, 8.toByte, -127.toByte, -41.toByte, 7.toByte, 89.toByte, -114.toByte, 89.toByte, 72.toByte, -4.toByte, -90.toByte, 113.toByte, -26.toByte, -120.toByte, 21.toByte, 8.toByte), coll6(19))), getVar[Coll[Byte]](2.toByte).get).get.digest, coll10(0)._1 == {(tuple15: (Coll[Box], Coll[Byte])) => tuple15._1.filter({(box17: Box) => blake2b256(box17.propositionBytes) == tuple15._2 }) }((INPUTS, func1(coll5(2))))(0).tokens(1)._1, tuple11._1 == coll8.slice(6, 38), tuple11._2 == SELF.R5[Coll[Long]].get(0) + 1L, box4.value >= 13000000L)), allOf(Coll[Boolean](blake2b256(box12.propositionBytes) == func1(coll5(1)), tuple13._1 == coll9, tuple13._2 == 1L, coll14 == coll7.slice(5, coll7.size).append(Coll[Byte](32.toByte, 68.toByte, 65.toByte, 79.toByte, 32.toByte, 75.toByte, 101.toByte, 121.toByte)), box12.R5[Coll[Byte]].get == coll14, box12.R6[Coll[Byte]].get == Coll[Byte](48.toByte)))))\n    )})\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 0,
          "amount": 500000000,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "d60307bf89b791bb295ce413a6441d87804683f5d3d009c7e0ac2d1c1d6aa598",
          "index": 1,
          "amount": 1,
          "name": "Ergo Infra DAO v1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
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