Token

4d82471b2ec40ad3b301dbb5f0e62a5b7edbcdf3ec7dec1324b89f7d5ed65555

ID
4d82471b2ec40ad3b301dbb5f0e62a5b7edbcdf3ec7dec1324b89f7d5ed65555
Name
PaideiaTest Stake Key
Emission amount
1
Decimals
0
Description
{"originalAmountStaked": 1000.0, "stakeTime": "2022-05-14 16:13:17.403000"}
Type
EIP-004
Issuer Box
{
  "boxId": "4d82471b2ec40ad3b301dbb5f0e62a5b7edbcdf3ec7dec1324b89f7d5ed65555",
  "transactionId": "c7f3f14030a0d54e0d0ae07bc35224725eb20371fd60b575d59175dc006843f9",
  "blockId": "e0f8172a3a51ff1881c9fffcb541371a0517c3a13aeae0bd1d40649c434b5338",
  "value": 1000000,
  "index": 0,
  "globalIndex": 16719548,
  "creationHeight": 749469,
  "settlementHeight": 749471,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-115,-65,48,88,-22,-34,108,50,-100,-9,93,34,-68,54,70,59,-3,-52,101,97,-11,-15,-94,37,-116,-103,123,-86,76,-100,51,-22)\n6: 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)\n7: 0\n8: 0\n9: 4\n10: 4\n11: 2\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 3\n23: 3\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 1\n36: 2\n37: 0\n38: 0\n39: 0\n40: 1\n41: 2\n42: 2\n43: 3\n44: 3\n45: 0\n46: 1\n47: 2\n48: 1\n49: 1\n50: 1\n51: 0\n52: Coll(-1,-48,-89,-116,-126,-64,59,29,-111,-21,-18,21,-107,-91,-31,77,75,91,-49,-127,31,18,90,-66,11,-60,26,-51,29,98,-76,-104)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(-99,92,-6,-67,14,-127,31,-5,-32,120,62,5,-73,102,-31,-71,-93,-87,-115,23,-7,23,-93,-117,6,89,65,-89,-44,92,101,-82)\n59: 1\n60: 1\n61: 2\n62: 0\n63: 1\n64: 1\n65: 2\n66: 2\n67: 3\n68: 0\n69: 0\n70: 3\n71: 1\n72: 0\n73: 1\n74: 1\n75: 0\n76: 2\n77: 0\n78: 1\n79: 2\n80: 2\n81: 1\n82: 0\n83: 3\n84: 3\n85: 1\n86: 0\n87: 0\n88: 2\n89: 0\n90: 1\n91: 1\n92: 1000\n93: 0\n94: 1\n95: 1\n96: true\n97: 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 = box9.R4[Coll[Long]].get\n  val coll15 = SELF.R4[Coll[Long]].get\n  val coll16 = placeholder[Coll[Byte]](5)\n  val l17 = CONTEXT.preHeader.timestamp\n  val l18 = tuple3._2\n  val coll19 = placeholder[Coll[Byte]](6)\n  val tuple20 = coll10(placeholder[Int](7))\n  val tuple21 = coll5(placeholder[Int](8))\n  val l22 = coll15(placeholder[Int](9))\n  val bool23 = allOf(\n    Coll[Boolean](\n      box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple20._1 == tuple21._1, tuple20._2 == tuple21._2, tuple11._1 == coll7, coll14(\n        placeholder[Int](10)\n      ) == l22, coll10.size == placeholder[Int](11)\n    )\n  )\n  if (bool8) { if (l12 < l13) {(\n      val tuple24 = coll2(placeholder[Int](12))\n      val l25 = tuple24._2\n      val l26 = coll15(placeholder[Int](13))\n      val coll27 = box1.R4[Coll[Long]].get\n      val coll28 = box1.R5[Coll[Byte]].get\n      val box29 = OUTPUTS(placeholder[Int](14))\n      val tuple30 = box29.tokens(placeholder[Int](15))\n      sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](16)) == coll15(placeholder[Int](17)) + l25, coll14(placeholder[Int](18)) == l26, coll14(placeholder[Int](19)) == coll15(placeholder[Int](20)) + placeholder[Long](21), coll14(placeholder[Int](22)) == coll15(placeholder[Int](23)), l12 == l13 - placeholder[Long](24), blake2b256(box1.propositionBytes) == coll16, coll27(placeholder[Int](25)) == l26, coll27(placeholder[Int](26)) >= l17 - placeholder[Long](27), coll28 == SELF.id, bool8, l18 == placeholder[Long](28), tuple24._1 == coll19, l25 >= placeholder[Long](29), box29.propositionBytes == INPUTS(placeholder[Int](30)).R5[Coll[Byte]].get, tuple30._1 == coll28, tuple30._2 == placeholder[Long](31))))\n    )} else {(\n      val tuple24 = coll2(placeholder[Int](32))\n      val l25 = tuple24._2\n      val box26 = INPUTS(placeholder[Int](33))\n      val l27 = box26.tokens(placeholder[Int](34))._2\n      val l28 = coll15(placeholder[Int](35))\n      val coll29 = box1.R4[Coll[Long]].get\n      val coll30 = box1.R5[Coll[Byte]].get\n      val tuple31 = OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))\n      sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](38)) == coll15(placeholder[Int](39)) + l25 - l27, coll14(placeholder[Int](40)) == l28, coll14(placeholder[Int](41)) == coll15(placeholder[Int](42)), coll14(placeholder[Int](43)) == coll15(placeholder[Int](44)), l12 == l13, blake2b256(box1.propositionBytes) == coll16, blake2b256(box26.propositionBytes) == coll16, coll29(placeholder[Int](45)) == l28, coll29 == box26.R4[Coll[Long]].get, coll30 == box26.R5[Coll[Byte]].get, bool8, l18 == placeholder[Long](46), tuple24._1 == coll19, l25 == l27 + INPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2, tuple31._1 == coll30, tuple31._2 == placeholder[Long](49))))\n    )} } else {(\n    val box24 = INPUTS(placeholder[Int](50))\n    val coll25 = box24.tokens\n    val tuple26 = coll25(placeholder[Int](51))\n    val coll27 = tuple26._1\n    if ((coll27 == placeholder[Coll[Byte]](52)) && (INPUTS.size >= placeholder[Int](53))) {(\n      val box28 = INPUTS(placeholder[Int](54))\n      val coll29 = box28.R4[Coll[Long]].get\n      val l30 = coll15(placeholder[Int](55))\n      val l31 = coll14(placeholder[Int](56))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool23, box28.tokens(placeholder[Int](57))._1 == placeholder[Coll[Byte]](58), coll29(placeholder[Int](59)) == l30 - placeholder[Long](60), coll29(\n              placeholder[Int](61)\n            ) == placeholder[Long](62), coll14(placeholder[Int](63)) == l30 + placeholder[Long](64), coll14(placeholder[Int](65)) == coll15(\n              placeholder[Int](66)\n            ), l31 == coll15(placeholder[Int](67)) + l22, l31 < l17, l12 == l13\n          )\n        )\n      )\n    )} else {(\n      val l28 = coll15(placeholder[Int](68))\n      val l29 = coll14(placeholder[Int](69))\n      if (((l28 > l29) && (INPUTS.size >= placeholder[Int](70))) && (coll25.size > placeholder[Int](71))) {(\n        val coll30 = box24.R5[Coll[Byte]].get\n        val coll31 = box24.R4[Coll[Long]].get\n        val l32 = coll31(placeholder[Int](72))\n        val l33 = coll15(placeholder[Int](73))\n        val l34 = l28 - l29\n        val tuple35 = coll25(placeholder[Int](74))\n        val l36 = tuple35._2 - l34\n        val bool37 = l36 == placeholder[Long](75)\n        val coll38 = tuple35._1\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              bool23, INPUTS(placeholder[Int](76)).tokens(placeholder[Int](77))._1 == coll30, l32 == l33, l29 == l28 - l34, coll14(\n                placeholder[Int](78)\n              ) == l33, coll14(placeholder[Int](79)) == coll15(placeholder[Int](80)) - if (bool37) { placeholder[Long](81) } else {\n                placeholder[Long](82)\n              }, coll14(placeholder[Int](83)) == coll15(placeholder[Int](84)), l12 == l13 + if (bool37) { placeholder[Long](85) } else {\n                placeholder[Long](86)\n              }, coll4 == coll38, l18 == l34, if (l36 > placeholder[Long](87)) {(\n                val box39 = OUTPUTS(placeholder[Int](88))\n                val coll40 = box39.tokens\n                val tuple41 = coll40(placeholder[Int](89))\n                val tuple42 = coll40(placeholder[Int](90))\n                val coll43 = box39.R4[Coll[Long]].get\n                allOf(\n                  Coll[Boolean](\n                    coll2(\n                      placeholder[Int](91)\n                    )._1 == coll30, box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll38, tuple42._2 == l36, l36 >= placeholder[\n                      Long\n                    ](92), coll43(placeholder[Int](93)) == l32, coll43(placeholder[Int](94)) == coll31(placeholder[Int](95))\n                  )\n                )\n              )} else { placeholder[Boolean](96) }\n            )\n          )\n        )\n      )} else { sigmaProp(placeholder[Boolean](97)) }\n    )}\n  )}\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "5aa861e5dc77f860188322a78ca8081291b43df78049a7ba98224c2a6d1ca371",
      "index": 0,
      "amount": 1,
      "name": "PaideiaTest Stake State NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "83857c35968130a6d91483a278ce087dd223f031abf56f1133a2e59c923dc584",
      "index": 1,
      "amount": 999999999999,
      "name": "PaideiaTest Stake Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "1105f0e6bdcc9701960102e0cc92ae986080bab703",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[20347075000,75,1,1652537054000,3600000]"
    }
  },
  "spentTransactionId": "95dcda402c0021e4e1cc0bc38f7ad8427b110e109117abc8519672e16f5f79fe",
  "mainChain": true
}