Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
2.98 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
2,864.15
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
2.97 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.86 KB
Received time: 10/16/2022 09:26:15 AM
Included in blocks: 853,868
Confirmations: 907,427
Total coins transferred: 2.98 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000342 ERG
Raw Transaction Data
{
  "id": "b6506b8eb80f72ea1e9ea6c686f3e4e458fa11ace4cec59513c70accdcc2256d",
  "blockId": "734df01f68f39a99bdc47f7d4cf8a047d162b8ee5ab989f2f9ad8c04a32ae062",
  "inclusionHeight": 853868,
  "timestamp": 1665912375304,
  "index": 22,
  "globalIndex": 4169076,
  "numConfirmations": 907427,
  "inputs": [
    {
      "boxId": "191a0d1b0945ae303b7223e063df6fdb50e9defd5f507d3580bf77bfd1e18c5d",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "d34c151ca56ee12da72d789b0c6e1c6c049896883f49e0a0d4c781ef0749f740",
      "outputTransactionId": "bec0085c1d0e88cdf6cdb63652c8b49c45f59e761ceed18966dcb6e46accaef8",
      "outputIndex": 0,
      "outputGlobalIndex": 22610710,
      "outputCreatedAt": 853707,
      "outputSettledAt": 853709,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](2))\n  val coll7 = tuple6._1\n  val bool8 = coll4 == coll7\n  val box9 = OUTPUTS(placeholder[Int](3))\n  val coll10 = box9.R4[Coll[Long]].get\n  val coll11 = SELF.R4[Coll[Long]].get\n  val l12 = tuple6._2\n  val coll13 = box9.tokens\n  val tuple14 = coll13(placeholder[Int](4))\n  val l15 = tuple14._2\n  val l16 = CONTEXT.preHeader.timestamp\n  val l17 = tuple3._2\n  val coll18 = placeholder[Coll[Byte]](5)\n  val tuple19 = coll13(placeholder[Int](6))\n  val tuple20 = coll5(placeholder[Int](7))\n  val l21 = coll11(placeholder[Int](8))\n  val bool22 = allOf(\n    Coll[Boolean](\n      box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n        placeholder[Int](9)\n      ) == l21, coll13.size == placeholder[Int](10)\n    )\n  )\n  if (bool8) {(\n    val tuple23 = coll2(placeholder[Int](11))\n    val l24 = tuple23._2\n    val l25 = coll11(placeholder[Int](12))\n    val coll26 = box1.R4[Coll[Long]].get\n    val coll27 = box1.R5[Coll[Byte]].get\n    val box28 = OUTPUTS(placeholder[Int](13))\n    val tuple29 = box28.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n            placeholder[Int](18)\n          ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n            Long\n          ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n            placeholder[Int](26)\n          ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n            29\n          ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n        )\n      )\n    )\n  )} else {(\n    val box23 = INPUTS(placeholder[Int](32))\n    val coll24 = box23.tokens\n    val tuple25 = coll24(placeholder[Int](33))\n    val coll26 = tuple25._1\n    if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n      val box27 = INPUTS(placeholder[Int](36))\n      val coll28 = box27.R4[Coll[Long]].get\n      val l29 = coll11(placeholder[Int](37))\n      val l30 = coll10(placeholder[Int](38))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n              placeholder[Int](43)\n            ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n              placeholder[Int](48)\n            ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n          )\n        )\n      )\n    )} else {(\n      val l27 = coll11(placeholder[Int](50))\n      val l28 = coll10(placeholder[Int](51))\n      if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n        val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n              val coll33 = tuple31._2.tokens\n              val l34 = tuple31._1\n              if (coll33.size == placeholder[Int](54)) { l34 } else {(\n                val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n                val i36 = coll35.size\n                if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n              )}\n            }) }\n        val l30 = func29(INPUTS)\n        val l31 = func29(OUTPUTS)\n        val coll32 = box23.R4[Coll[Long]].get\n        val l33 = coll32(placeholder[Int](59))\n        val l34 = l16 - l33 / placeholder[Int](60).toLong\n        val l35 = l27 - l28\n        val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n          if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n            if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n              if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n                l35 * placeholder[Long](72) / placeholder[Long](73)\n              }\n            }\n          }\n        }\n        val box37 = INPUTS(placeholder[Int](74))\n        val l38 = coll32(placeholder[Int](75))\n        val l39 = coll11(placeholder[Int](76))\n        val tuple40 = coll24(placeholder[Int](77))\n        val l41 = tuple40._2 - l35\n        val bool42 = l41 == placeholder[Long](78)\n        val coll43 = tuple40._1\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n                {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n              ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n                placeholder[Long](84)\n              } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n                placeholder[Long](88)\n              } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n                90\n              )) {(\n                val box44 = OUTPUTS(placeholder[Int](91))\n                val coll45 = box44.tokens\n                val tuple46 = coll45(placeholder[Int](92))\n                val tuple47 = coll45(placeholder[Int](93))\n                val coll48 = box44.R4[Coll[Long]].get\n                allOf(\n                  Coll[Boolean](\n                    box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n                      Long\n                    ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n                  )\n                )\n              )} else { placeholder[Boolean](97) }\n            )\n          )\n        )\n      )} else { sigmaProp(placeholder[Boolean](98)) }\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 1,
          "amount": 999996681,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1105c6838c8463cc03ee33c8e6e1cffb6080f0b252",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[13291847907,230,3319,1665859860900,86400000]"
        }
      }
    },
    {
      "boxId": "f05fb4c9477cf39a4eacc2c6c7870d04c4908e27623555464e41969cc0a66bb5",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "0d92bd21d5da96f49b9818792b6913a3c436052b04c0459765a6d229dd4d2ac6",
      "outputTransactionId": "e4bac93a8af90c547c2ac83018a061727493349bcc4662bb31d924645a97bd59",
      "outputIndex": 69,
      "outputGlobalIndex": 22601946,
      "outputCreatedAt": 853504,
      "outputSettledAt": 853518,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n3: 1\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 0\n10: 1\n11: 1\n12: 1\n13: 3\n14: 0\n15: 1\n16: 2\n17: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n18: 1\n19: 1\n20: false\n21: true\n22: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens(placeholder[Int](1))._1\n  if (coll2 == placeholder[Coll[Byte]](2)) {(\n    val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](3)))\n    val coll4 = box3.R4[Coll[Long]].get\n    val coll5 = SELF.R4[Coll[Long]].get\n    val coll6 = box3.tokens\n    val tuple7 = coll6(placeholder[Int](4))\n    val coll8 = SELF.tokens\n    val tuple9 = coll8(placeholder[Int](5))\n    val tuple10 = coll6(placeholder[Int](6))\n    val tuple11 = coll8(placeholder[Int](7))\n    val l12 = tuple11._2\n    val coll13 = box1.R4[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](8)) == coll5(placeholder[Int](9)) + placeholder[\n            Long\n          ](10), box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, coll4(placeholder[Int](11)) == coll5(\n            placeholder[Int](12)\n          ), tuple7._1 == tuple9._1, tuple7._2 == tuple9._2, tuple10._1 == tuple11._1, tuple10._2 == l12 + coll13(placeholder[Int](13)) * l12 / coll13(\n            placeholder[Int](14)\n          )\n        )\n      )\n    )\n  )} else {(\n    val box3 = INPUTS(placeholder[Int](15))\n    if (box3.id == SELF.id) {(\n      val box4 = OUTPUTS(placeholder[Int](16))\n      sigmaProp((coll2 == placeholder[Coll[Byte]](17)) && if (box4.propositionBytes == SELF.propositionBytes) {(\n          val opt5 = box4.R5[Coll[Byte]]\n          if (opt5.isDefined) { (opt5.get == SELF.R5[Coll[Byte]].get) && (OUTPUTS(placeholder[Int](18)).tokens(placeholder[Int](19))._1 == box3.R5[Coll[Byte]].get) } else { placeholder[Boolean](20) }\n        )} else { placeholder[Boolean](21) })\n    )} else { sigmaProp(placeholder[Boolean](22)) }\n  )}\n}",
      "address": "3eiC8caSy3jiCxCmdsiFNFJ1Ykppmsmff2TEpSsXY1Ha7xbpB923Uv2midKVVkxL3CzGbSS2QURhbHMzP9b9rQUKapP1wpUQYPpH8UebbqVFHJYrSwM3zaNEkBkM9RjjPxHCeHtTnmoun7wzjajrikVFZiWurGTPqNnd1prXnASYh7fd9E2Limc2Zeux4UxjPsLc1i3F9gSjMeSJGZv3SNxrtV14dgPGB9mY1YdziKaaqDVV2Lgq3BJC9eH8a3kqu7kmDygFomy3DiM2hYkippsoAW6bYXL73JMx1tgr462C4d2PE7t83QmNMPzQrD826NZWM2c1kehWB6Y1twd5F9JzEs4Lmd2qJhjQgGg4yyaEG9irTC79pBeGUj98frZv1Aaj6xDmZvM22RtGX5eDBBu2C8GgJw3pUYr3fQuGZj7HKPXFVuk3pSTQRqkWtJvnpc4rfiPYYNpM5wkx6CPenQ39vsdeEi36mDL8Eww6XvyN4cQxzJFcSymATDbQZ1z8yqYSQeeDKF6qCM7ddPr5g5fUzcApepqFrGNg7MqGAs1euvLGHhRk7UoeEpofFfwp3Km5FABdzAsdFR9",
      "assets": [
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
          "index": 1,
          "amount": 286415,
          "name": "ergopad",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1102cc0380a280accd60",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[230,1659648346240]"
        },
        "R5": {
          "serializedValue": "0e20e95fedca9c1ba59fb25f1c1667fd065df2742036129f9ca257602eadb39d4ea1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e95fedca9c1ba59fb25f1c1667fd065df2742036129f9ca257602eadb39d4ea1"
        }
      }
    },
    {
      "boxId": "7efc30096ba3c37a581e2c1a3c7dd458816ff7ebf01037737f799ba57a27a59a",
      "value": 2975421765,
      "index": 2,
      "spendingProof": "173a6a0fbba37cb89ed4a63894abd37d9279853378da054fa5405c7681fa10de37e865e7ca8c81d694d3546885a9e17b1579a569f14160b0",
      "outputBlockId": "1daed088772afa578ee07150628042bfcc8181bff1c11ff556b8936355bd4d9f",
      "outputTransactionId": "f6846c6dc13b72d3b08a8d072102f99ef0b670a57a05b0e17b098eabfb9e0d2f",
      "outputIndex": 4,
      "outputGlobalIndex": 22522107,
      "outputCreatedAt": 852090,
      "outputSettledAt": 852092,
      "ergoTree": "0008cd0318690bc7cbf34847a925b31e26f4a4f6d46ea41260931875f864cafd56b0ef6c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(18690b,5b230d,...)))}",
      "address": "9geZDkiRGhzMZQYstqi4XY2221Er2UmLso1PmCdTRXvhdKG7D3g",
      "assets": [
        {
          "tokenId": "3d52be107ee53e3619ccf82699871351ddc0f3487b660bc261f42c7d218c3ff3",
          "index": 0,
          "amount": 1,
          "name": "Cybercitizen #547",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2c8b64e6e4472554b53622626534d889b2a6a8096fc01c00b3f80d10b4346852",
          "index": 1,
          "amount": 1,
          "name": "Cybercitizen #369",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "44bd09ec1265f9c1c5d8bc5f9102e3cbd718a5c6e5017639ae7c6b099e552f95",
          "index": 2,
          "amount": 1,
          "name": "[Cyberia] Apartment #22",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9afea298b004e7798e6cb101ac4c7ac1ad6b9f1bd997df49c6fe24c03edc3d61",
          "index": 3,
          "amount": 1,
          "name": "Cybercitizen #1583",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5abd40e4de700bb41fd3ad48e739ec7a882c20e57f5983a67e5fc2cf2cff1a68",
          "index": 4,
          "amount": 1,
          "name": "Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "79fe6669682005f40275bbb26829f61a361d2ecb396ab0d3dfbc2f5e744cc9d4",
          "index": 5,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "cbb88f3588cc2ec13eb4453654e5543331ae6e7f83f58fc4e6e3924088c89151",
          "index": 6,
          "amount": 1,
          "name": "Ergo Champions #1421",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "84f23b70724767c6151835c4c54780746bbc877357c465ae7c6ad830fdb15df0",
          "index": 7,
          "amount": 1,
          "name": "Ergo Champions #367",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "bdc316750915a766e7e9f477e87b4dcfc3013c67d470f5d6e2b86b3ca49b1b22",
          "index": 8,
          "amount": 1,
          "name": "Ergo Champions #441",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "3e92446fb8f3f1363fed49fb153fdec5dac0f03362e463a5f61957f8d7c609cd",
          "index": 9,
          "amount": 1,
          "name": "CyberRaccoon #6",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
          "index": 10,
          "amount": 2500000000081,
          "name": "ErgOne",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "990daaf6651c5ddf4c5fa8c2fe547e006b18e0752d0b24b067ff0a496406c45f",
          "index": 11,
          "amount": 1,
          "name": "ErgOne CyberCollection #2",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d05459a18ac88def9c4532b10d5e594be399fe99bd450116b2756b05f86f1f77",
          "index": 12,
          "amount": 1,
          "name": "Ergo Champions #672",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "449c6cae593cc0d280381d05023314439a4af09475fef8d15fe985884d8ae6c0",
          "index": 13,
          "amount": 1,
          "name": "CyberElephant #2",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9f2530dd8fc988955be11854845484d0d383a6b6fbcf7e5ed71465db1f0d48a0",
          "index": 14,
          "amount": 1,
          "name": "Ergo Champions #497",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5186f9168d676462538e81e5384ca5496fd74e5e011fe4a34a11a48fedb88a3b",
          "index": 15,
          "amount": 1,
          "name": "$COMET Oniric 3D Collection 1029",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8baca16a375613e6d4eae51b9ccf9a9929ce5fa57e26b896304582d2db2df683",
          "index": 16,
          "amount": 1,
          "name": "Ergo Champions #67",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "f8f808e345fb3fcd414512c4fc92337eb2f39a21d6811305933087bcc39c51eb",
          "index": 17,
          "amount": 1,
          "name": "Ergo Champions #1156",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a2d6a32a5289ea4699761b5cf9aac51b55513921ebad5c76ebb7bd37f05f9ec4",
          "index": 18,
          "amount": 1,
          "name": "Ergo Champions #669",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e95fedca9c1ba59fb25f1c1667fd065df2742036129f9ca257602eadb39d4ea1",
          "index": 19,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "257f4842e10b2a43f004fa319e428484c509f0834ed02a0b5c6340e331863e47",
          "index": 20,
          "amount": 1,
          "name": "Ergo Champions #1327",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a04c5a0e3b6ac8380291970b4d18a63ac486ae7df6da3ced89d50f8f4651eac2",
          "index": 21,
          "amount": 1,
          "name": "BFT Rally 0548",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6feb15604219ca9af0b026b621cdee757bed6486b88040dc0ba440e06ed8066c",
          "index": 22,
          "amount": 1,
          "name": "Auction House Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "69ed30af0b3c7dcf8a6d7c7cf5bf9243e01523065cf2e2b5470c6397bbe8aa81",
          "index": 23,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a73baef23b57995d7ab6394630eb5d770d3b5545f82ab14526448fb283034aa8",
          "index": 24,
          "amount": 1,
          "name": "Auction House Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "cdc958656fa4657e13ff54ca60d340c7cdff7ac88ef0c22b47ecf1fdf26475b8",
          "index": 25,
          "amount": 1,
          "name": "Summertime Madness #25",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d601123e8838b95cdaebe24e594276b2a89cd38e98add98405bb5327520ecf6c",
          "index": 26,
          "amount": 31650000,
          "name": "swampaudio staker whitelist token",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "ef63528982ad8d0164f93f2e9a14774476ad32ae918d857294b74abfabe484c8",
          "index": 27,
          "amount": 1,
          "name": "Ergo Champions #327",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8a6c6924de18e2d023a19c15acdfdb067d2922fcaba692c089c19aafb200a86e",
          "index": 28,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "8f70b48fa8ff635915448cd3a659a7649793c0d59f6c732020789d7a8e0dcd8c",
      "transactionId": "b6506b8eb80f72ea1e9ea6c686f3e4e458fa11ace4cec59513c70accdcc2256d",
      "blockId": "734df01f68f39a99bdc47f7d4cf8a047d162b8ee5ab989f2f9ad8c04a32ae062",
      "value": 1000000,
      "index": 0,
      "globalIndex": 22617800,
      "creationHeight": 853866,
      "settlementHeight": 853868,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](2))\n  val coll7 = tuple6._1\n  val bool8 = coll4 == coll7\n  val box9 = OUTPUTS(placeholder[Int](3))\n  val coll10 = box9.R4[Coll[Long]].get\n  val coll11 = SELF.R4[Coll[Long]].get\n  val l12 = tuple6._2\n  val coll13 = box9.tokens\n  val tuple14 = coll13(placeholder[Int](4))\n  val l15 = tuple14._2\n  val l16 = CONTEXT.preHeader.timestamp\n  val l17 = tuple3._2\n  val coll18 = placeholder[Coll[Byte]](5)\n  val tuple19 = coll13(placeholder[Int](6))\n  val tuple20 = coll5(placeholder[Int](7))\n  val l21 = coll11(placeholder[Int](8))\n  val bool22 = allOf(\n    Coll[Boolean](\n      box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n        placeholder[Int](9)\n      ) == l21, coll13.size == placeholder[Int](10)\n    )\n  )\n  if (bool8) {(\n    val tuple23 = coll2(placeholder[Int](11))\n    val l24 = tuple23._2\n    val l25 = coll11(placeholder[Int](12))\n    val coll26 = box1.R4[Coll[Long]].get\n    val coll27 = box1.R5[Coll[Byte]].get\n    val box28 = OUTPUTS(placeholder[Int](13))\n    val tuple29 = box28.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n            placeholder[Int](18)\n          ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n            Long\n          ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n            placeholder[Int](26)\n          ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n            29\n          ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n        )\n      )\n    )\n  )} else {(\n    val box23 = INPUTS(placeholder[Int](32))\n    val coll24 = box23.tokens\n    val tuple25 = coll24(placeholder[Int](33))\n    val coll26 = tuple25._1\n    if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n      val box27 = INPUTS(placeholder[Int](36))\n      val coll28 = box27.R4[Coll[Long]].get\n      val l29 = coll11(placeholder[Int](37))\n      val l30 = coll10(placeholder[Int](38))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n              placeholder[Int](43)\n            ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n              placeholder[Int](48)\n            ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n          )\n        )\n      )\n    )} else {(\n      val l27 = coll11(placeholder[Int](50))\n      val l28 = coll10(placeholder[Int](51))\n      if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n        val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n              val coll33 = tuple31._2.tokens\n              val l34 = tuple31._1\n              if (coll33.size == placeholder[Int](54)) { l34 } else {(\n                val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n                val i36 = coll35.size\n                if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n              )}\n            }) }\n        val l30 = func29(INPUTS)\n        val l31 = func29(OUTPUTS)\n        val coll32 = box23.R4[Coll[Long]].get\n        val l33 = coll32(placeholder[Int](59))\n        val l34 = l16 - l33 / placeholder[Int](60).toLong\n        val l35 = l27 - l28\n        val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n          if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n            if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n              if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n                l35 * placeholder[Long](72) / placeholder[Long](73)\n              }\n            }\n          }\n        }\n        val box37 = INPUTS(placeholder[Int](74))\n        val l38 = coll32(placeholder[Int](75))\n        val l39 = coll11(placeholder[Int](76))\n        val tuple40 = coll24(placeholder[Int](77))\n        val l41 = tuple40._2 - l35\n        val bool42 = l41 == placeholder[Long](78)\n        val coll43 = tuple40._1\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n                {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n              ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n                placeholder[Long](84)\n              } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n                placeholder[Long](88)\n              } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n                90\n              )) {(\n                val box44 = OUTPUTS(placeholder[Int](91))\n                val coll45 = box44.tokens\n                val tuple46 = coll45(placeholder[Int](92))\n                val tuple47 = coll45(placeholder[Int](93))\n                val coll48 = box44.R4[Coll[Long]].get\n                allOf(\n                  Coll[Boolean](\n                    box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n                      Long\n                    ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n                  )\n                )\n              )} else { placeholder[Boolean](97) }\n            )\n          )\n        )\n      )} else { sigmaProp(placeholder[Boolean](98)) }\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 1,
          "amount": 999996682,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1105a888e98363cc03ec33c8e6e1cffb6080f0b252",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[13291561492,230,3318,1665859860900,86400000]"
        }
      },
      "spentTransactionId": "a6e663b46be83374dc9b123a8f1908cd722a0176f140cd3c62a23aca67cd8661",
      "mainChain": true
    },
    {
      "boxId": "36b560323a9e6aa07479226861d49633538e5117f86ca6118a71edd0e6088467",
      "transactionId": "b6506b8eb80f72ea1e9ea6c686f3e4e458fa11ace4cec59513c70accdcc2256d",
      "blockId": "734df01f68f39a99bdc47f7d4cf8a047d162b8ee5ab989f2f9ad8c04a32ae062",
      "value": 10000000,
      "index": 1,
      "globalIndex": 22617801,
      "creationHeight": 853866,
      "settlementHeight": 853868,
      "ergoTree": "0008cd0318690bc7cbf34847a925b31e26f4a4f6d46ea41260931875f864cafd56b0ef6c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(18690b,5b230d,...)))}",
      "address": "9geZDkiRGhzMZQYstqi4XY2221Er2UmLso1PmCdTRXvhdKG7D3g",
      "assets": [
        {
          "tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
          "index": 0,
          "amount": 286415,
          "name": "ergopad",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "af18398efd43388fd0f57c084e8c0114d4c4f8e2a641f975794eaf5a7820b001",
      "mainChain": true
    },
    {
      "boxId": "4352f263bedf93a9f812d0a4affe4d20748c7dc1fb6e867dcc059f9e2f9652c2",
      "transactionId": "b6506b8eb80f72ea1e9ea6c686f3e4e458fa11ace4cec59513c70accdcc2256d",
      "blockId": "734df01f68f39a99bdc47f7d4cf8a047d162b8ee5ab989f2f9ad8c04a32ae062",
      "value": 1000000,
      "index": 2,
      "globalIndex": 22617802,
      "creationHeight": 853866,
      "settlementHeight": 853868,
      "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": "39e1ae067fd625eb611b590eac9ce8c0c0a1cbe5b41794c15f37476a13eb2a65",
      "mainChain": true
    },
    {
      "boxId": "45810661f8ff0aa6a89369a2716bd8bf0f153701bcf3610c7c09db216d3f410b",
      "transactionId": "b6506b8eb80f72ea1e9ea6c686f3e4e458fa11ace4cec59513c70accdcc2256d",
      "blockId": "734df01f68f39a99bdc47f7d4cf8a047d162b8ee5ab989f2f9ad8c04a32ae062",
      "value": 2965421765,
      "index": 3,
      "globalIndex": 22617803,
      "creationHeight": 853866,
      "settlementHeight": 853868,
      "ergoTree": "0008cd0318690bc7cbf34847a925b31e26f4a4f6d46ea41260931875f864cafd56b0ef6c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(18690b,5b230d,...)))}",
      "address": "9geZDkiRGhzMZQYstqi4XY2221Er2UmLso1PmCdTRXvhdKG7D3g",
      "assets": [
        {
          "tokenId": "79fe6669682005f40275bbb26829f61a361d2ecb396ab0d3dfbc2f5e744cc9d4",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
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