Token

f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06

ID
f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06
Name
PaideiaTest Stake Key
Emission amount
1
Decimals
0
Description
{"originalAmountStaked": 1000.0, "stakeTime": "2022-05-17 08:41:18.925000"}
Type
EIP-004
Issuer Box
{
  "boxId": "f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06",
  "transactionId": "05b8046066a32b70a8021b7066e80a10b61f15f710c19a1cea75815b760dbde2",
  "blockId": "3b48e276bb24014399a80855e87d5acda07e1292b65e5665d8e6dfa1a136c419",
  "value": 1000000,
  "index": 0,
  "globalIndex": 16828999,
  "creationHeight": 751569,
  "settlementHeight": 751571,
  "ergoTree": "1062040204000402040004020e20538bd1a546cbab0328095135b94d3eba37047f57d2467f7543280401aa47d8110e20001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3040004000408040804040402040204040400040004000402040404040502040604060502040004020580dddb01050205d00f04020502040204020402040204040400040004000402040404040406040604000502040404020502040204000e200c16ccf39c256671e06731cb6950e12ef084c7718d0536f7a65b7ede58856373040604040402040604000e2058f9fdbd740e0c4d831bdff3ad0bda045f5c77e902c66df0df879bd853eec2c104020502040405000402050204040404040604000400040604020400040204020500040404000402040404040502050004060406050205000500040404000402040205d00f04000402040201010100d817d601b2a5730000d602db63087201d603b27202730100d6048c720301d605db6308a7d606b27205730200d6078c720601d6089372047207d609b2a5730300d60adb63087209d60bb2720a730400d60c8c720b02d60d8c720602d60ee4c672090411d60fe4c6a70411d6107305d611db6903db6503fed6128c720302d6137306d614b2720a730700d615b27205730800d616b2720f730900d6179683070193c27209c2a793c17209c1a7938c7214018c721501938c7214028c721502938c720b01720793b2720e730a00721693b1720a730b957208958f720c720dd807d618b27202730c00d6198c721802d61ab2720f730d00d61be4c672010411d61ce4c67201050ed61db2a5730e00d61eb2db6308721d730f00d196831101721793b2720e7310009ab2720f731100721993b2720e731200721a93b2720e7313009ab2720f731400731593b2720e731600b2720f73170093720c99720d731893cbc27201721093b2721b731900721a92b2721b731a00997211731b93721cc5a77208937212731c938c7218017213927219731d93c2721de4c6b2a4731e00050e938c721e01721c938c721e02731fd808d618b27202732000d6198c721802d61ab2a4732100d61b8cb2db6308721a73220002d61cb2720f732300d61de4c672010411d61ee4c67201050ed61fb2db6308b2a5732400732500d196831101721793b2720e732600999ab2720f7327007219721b93b2720e732800721c93b2720e732900b2720f732a0093b2720e732b00b2720f732c0093720c720d93cbc27201721093cbc2721a721093b2721d732d00721c93721de4c6721a041193721ee4c6721a050e7208937212732e938c72180172139372199a721b8cb2db6308b2a4732f0073300002938c721f01721e938c721f027331d804d618b2a4733200d619db63087218d61ab27219733300d61b8c721a0195ed93721b733492b1a47335d804d61cb2a4733600d61de4c6721c0411d61eb2720f733700d61fb2720e733800d1968309017217938cb2db6308721c73390001733a93b2721d733b0099721e733c93b2721d733d00733e93b2720e733f009a721e734093b2720e734100b2720f73420093721f9ab2720f73430072168f721f721193720c720dd802d61cb2720f734400d61db2720e73450095eded91721c721d92b1a4734691b172197347d809d61ee4c67218050ed61fe4c672180411d620b2721f734800d621b2720f734900d62299721c721dd623b27219734a00d624998c7223027222d625937224734bd6268c722301d196830b017217938cb2db6308b2a4734c00734d0001721e937220722193721d99721c722293b2720e734e00722193b2720e734f0099b2720f7350009572257351735293b2720e735300b2720f73540093720c9a720d9572257355735693720472269372127222959172247357d805d627b2a5735800d628db63087227d629b27228735900d62ab27228735a00d62be4c67227041196830901938cb27202735b0001721e93c17227c17218938c722901721b938c7229028c721a02938c722a017226938c722a027224927224735c93b2722b735d00722093b2722b735e00b2721f735f007360d17361",
  "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(83,-117,-47,-91,70,-53,-85,3,40,9,81,53,-71,77,62,-70,55,4,127,87,-46,70,127,117,67,40,4,1,-86,71,-40,17)\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(12,22,-52,-13,-100,37,102,113,-32,103,49,-53,105,80,-31,46,-16,-124,-57,113,-115,5,54,-9,-90,91,126,-34,88,-123,99,115)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(88,-7,-3,-67,116,14,12,77,-125,27,-33,-13,-83,11,-38,4,95,92,119,-23,2,-58,109,-16,-33,-121,-101,-40,83,-18,-62,-63)\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": "4cdc113b47662a0e7ca3bf0cc1db7d9325e6281fa4525585cad96b0adf5b1a7a",
      "index": 0,
      "amount": 1,
      "name": "PaideiaTest Stake State NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "86b63db217e780e8f7015ae9cd83564795c7ee30c8c40b99105ee10b3778d448",
      "index": 1,
      "amount": 1000000000000,
      "name": "PaideiaTest Stake Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "1105000000e082d58c9a6080bab703",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[0,0,0,1652770382000,3600000]"
    }
  },
  "spentTransactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
  "mainChain": true
}