Token

ebe8e2f427d5a8f0927459442516b09d0949a98707bce359a89c9227e552e952

ID
ebe8e2f427d5a8f0927459442516b09d0949a98707bce359a89c9227e552e952
Name
PaideiaTest Stake Key
Emission amount
1
Decimals
0
Description
{"originalAmountStaked": 1000.0, "stakeTime": "2022-06-03 11:14:08.682000"}
Type
EIP-004
Issuer Box
{
  "boxId": "ebe8e2f427d5a8f0927459442516b09d0949a98707bce359a89c9227e552e952",
  "transactionId": "c3cc07b4321f20a0f5649f72c3b61bfd66caa37326a693b8d1366f4b8fd688b7",
  "blockId": "119431c13c25da45f6346719a98d5943d4099ae1e2c032164195670643da4fb1",
  "value": 1000000,
  "index": 0,
  "globalIndex": 17436068,
  "creationHeight": 763777,
  "settlementHeight": 763779,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(-123,57,-75,0,19,42,-95,-93,102,-73,-118,13,-112,19,35,-117,-43,-33,-72,7,-20,54,76,-104,31,-67,27,-39,-59,-116,-110,82)\n19: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-50,-5,-3,-83,-103,-21,10,59,-8,54,-43,97,-45,-56,68,-33,77,58,-99,30,122,124,-124,121,-87,38,33,101,-50,120,123,-127)\n50: 2\n51: 1\n52: 0\n53: Coll(42,-58,88,61,-53,-63,30,19,117,-116,-88,70,56,-115,-83,-74,125,95,9,-2,-30,114,67,-64,-12,47,-46,-128,-58,37,-77,71)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: 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.tokens\n  val tuple11 = coll10(placeholder[Int](4))\n  val l12 = tuple11._2\n  val l13 = tuple6._2\n  val coll14 = SELF.R4[Coll[Long]].get\n  val l15 = coll14(placeholder[Int](5))\n  val coll16 = box9.R4[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](6))\n  val l18 = coll16(placeholder[Int](7))\n  val l19 = coll14(placeholder[Int](8))\n  val l20 = coll14(placeholder[Int](9))\n  val l21 = coll16(placeholder[Int](10))\n  val l22 = coll16(placeholder[Int](11))\n  val l23 = coll14(placeholder[Int](12))\n  val tuple24 = coll10(placeholder[Int](13))\n  val tuple25 = coll5(placeholder[Int](14))\n  val l26 = coll14(placeholder[Int](15))\n  val bool27 = allOf(\n    Coll[Boolean](\n      box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n        Int\n      ](16), coll16(placeholder[Int](17)) == l26\n    )\n  )\n  val coll28 = placeholder[Coll[Byte]](18)\n  val l29 = CONTEXT.preHeader.timestamp\n  val l30 = tuple3._2\n  val coll31 = placeholder[Coll[Byte]](19)\n  val tuple32 = (Coll[Byte](), placeholder[Long](20))\n  val box33 = INPUTS(placeholder[Int](21))\n  val coll34 = box33.tokens\n  val tuple35 = coll34(placeholder[Int](22))\n  val coll36 = tuple35._1\n  val bool37 = INPUTS.size >= placeholder[Int](23)\n  val coll38 = box33.R4[Coll[Long]].get\n  val coll39 = box33.R5[Coll[Byte]].get\n  val box40 = OUTPUTS(placeholder[Int](24))\n  val coll41 = box40.tokens\n  sigmaProp((if (bool8) { if (l12 < l13) {(\n          val tuple42 = coll2(placeholder[Int](25))\n          val l43 = tuple42._2\n          val coll44 = box1.R4[Coll[Long]].get\n          val coll45 = box1.R5[Coll[Byte]].get\n          val box46 = OUTPUTS(placeholder[Int](26))\n          val tuple47 = box46.tokens(placeholder[Int](27))\n          allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n        )} else {(\n          val tuple42 = coll2(placeholder[Int](37))\n          val l43 = tuple42._2\n          val box44 = INPUTS(placeholder[Int](38))\n          val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n          val coll46 = box1.R4[Coll[Long]].get\n          val coll47 = box1.R5[Coll[Byte]].get\n          val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n          allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n        )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n        val box42 = INPUTS(placeholder[Int](50))\n        val coll43 = box42.R4[Coll[Long]].get\n        allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n      )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n      val tuple42 = coll34(placeholder[Int](60))\n      val l43 = l15 - l17\n      val l44 = tuple42._2 - l43\n      val coll45 = tuple42._1\n      val l46 = coll38(placeholder[Int](61))\n      val bool47 = l44 <= placeholder[Long](62)\n      val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n      if (l44 > placeholder[Long](69)) {(\n        val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n        val tuple50 = coll41(placeholder[Int](71))\n        val coll51 = box40.R4[Coll[Long]].get\n        allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n      )} else { bool48 }\n    )} else { placeholder[Boolean](77) })\n}",
  "address": "S4acZXugtiBfKrQhbHiBUwvZfN1w95hTTScQ3gg56ZcQzFeJkarTsBUmTqYFLkJ8WPpVMTDMTyTz59mdAALSPj9o7C2LYbmGg4G6qdvUS3Jsfa1NGUkd9KbtcfVfrVgx9uD34pQmCajnDG9tLPkdgv7WuZ1mbJWcYNnbe2nu1Smrhoyc7M2hescdE9bFRFpyLJD89n4vfnLPx4rruVP5AsorpcEEMbL4Y9PoAWY8KdtL3XNqW7FLAYFn7esEKqsW29exigKdBn9FFnsyAbWQnqtjbdxdhj1cn9XMmJCVsJMmAJv95iiWKJCtwCLejjNDbkchDf5XYj7CcTFU2FiQEXQXE3hFFhYNfmAyeWBd1TeXms9yo8Xs3JGPF2DWmKVGVXhnjD8f473L6ikfcHq4J2xDiWEHhqz1rMs7kUuA9bowwwvGujF2EthJCKNuW4ih1w83gj8218meLw6Kfvhv9BrXSNksFVWhPeYXZKrEULummVvS1Ne4RF7XHBgK1oswMgERXDCFxmJJmcrfvZkgH25DrnoHxQaxGF9p3hpVBsKE2PhviPNj8tLAjHaD4xFx1fYDGrWZ9difZ7TgBMsp3y4459faQQYQpvVf6qxKvkeot6yMn4hG9Mw78pyqtFW5XTAq1Bqq4XoUp4ujsaEEaJ3R6LYcVKyTrBRrm9Nkkw1ihsQtNU5aPdgfahnnTpSr4WGMHucsh12cjAsTW9f6qmBNZFQQfTQhFEMp9kcbCPPR9e4weJay1hTbP1C4kNs65bPnkVMoeXQb36T1XyNrUo3Y7fmbKcHABoj7A1Us764F2cf2xTxu7n491dDSqdKpSaNBRTm6g6S4P4Ab1ij4oYchmaBWrDD7Vr43ceQqGSjWRru8B5eqrjBYd88YiUnqxC8RZbeArsm1v6taJ8U6pTxWvTkcMqofSSjxn1WqZzq64qhZUgEQW8Dbamj9T6N48ZcqywP47xrkASZYvsRx4ZEYrivMNHd7QwnF9bFbxKc4kjgDCAXtHqv1WPFTyS9CuTCgWkv4o1WNSc222YM3uFZjedkwJKMspVGK2FyJCic9jwAGADeQkZtG6BiTw75XxgRHcAsEzk75Fs5nzSs9DBo8LmEAkoNNisV5pCdRw8eHJL6iBgDP9YevBqpPmLTA4o7z4YtNfHVhk7mpSyMCC9hkab96zxJq8T344qrw4qxTyCQkV5VoiVCiZV6ESPQK3YgLzhn7vmiUgETyoVHssTuVrYLGcZs3Y5xLLLp3sx3JBpd759x2zFBy1XPLQprEVejh7xctTSwQrfbffiL3gTo2Zn1AxCSUUz2qDsyQ3h4C2DYdC4UMdq7urbN5PZjofj3j6jwnPiaqS9nJ2ypmhk7hDMo54J3zVEUiRxFY6rmWAqB8NgpN4EjYDJkVF7MKU9Av2uFKC2iqhnAa8KjZrAPadYWH96TkSUbQzvDevw1rEfup4wfPRK2r7U2L3vJvxvVvZfrEiydBXFLkhFpXmB8Gw4JYjF5n21jihPk1ZM65rVSdnLAFub8F5MAeYKM8w2JTLeViftCAQY8tYg1wUEMETVu1ezSCrXnbYEKcBcJdUXDkEQDBk6yMv9WGn1PFhHzjvtXD1987cUbmz6d41YeCmT1NWHQAcw6fbcz6KYSC6UypMDzDVni7RBFm4MXnw9vQ6LT7zoG2ekEGCCDetX1DAYTwFzq8CCtAZTgzxPBkcW7xGas8ZajsGdpfTwgrsj3moSiurWAL9iVVczuLmFdRkbBc99vxu3MbDuhme13wDTngsovWtZ3VjcaRPX3D7bvWJ1qJj5PLiD6D6HYZG2ELEm6RtTa2b5xhWvT7eRJc82QA2Fzpi3gP8KiEwGfH4C3wiGYtGE4AzsTZDqfoMGZy4eqCjpR3ir3JxyGacfYiJzVLLcK1GMuA8QTNiZ4xhn6EpqLEuR169Jc8vEWEomdq6PrWMxRm9QwzvLtYRiTFwgBFDwAoHQnygwVsiyaaRrQdwnjMZKgWNcUR8j5apskH",
  "assets": [
    {
      "tokenId": "aad0b57e456c696841155d414184442ff269f233a3ac87f52050003c1bdce2cd",
      "index": 0,
      "amount": 1,
      "name": "PaideiaTest Stake State NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "c1eafc184b24ac1fb59d238f659cd6bdcc258604fa29c078a6667808dad94889",
      "index": 1,
      "amount": 1000000000000,
      "name": "PaideiaTest Stake Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "1105000000b086f98aa56080bab703",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[0,0,0,1654244975000,3600000]"
    }
  },
  "spentTransactionId": "7e52163c79b4faac0ba51d5093f3209c1c197ada45fdc8bdb99efe424a0bf89d",
  "mainChain": true
}