Token

c62a2b96a95dc59f3b3a5c68d3937f614e9ffd576d9832030d77a3181db7e5ef

ID
c62a2b96a95dc59f3b3a5c68d3937f614e9ffd576d9832030d77a3181db7e5ef
Name
Ergo_Crux_LP Stake Key
Emission amount
1
Decimals
0
Description
{"originalAmountStaked": 2079999599, "stakeTime": "2023-11-29 18:14:45.396000"}
Type
EIP-004
Issuer Box
{
  "boxId": "c62a2b96a95dc59f3b3a5c68d3937f614e9ffd576d9832030d77a3181db7e5ef",
  "transactionId": "7a976148190dd862c2dffac992c229be63328e60a165b90751a19fcf23fac064",
  "blockId": "28494eb989bd5d2ba4554091f303cd17d5d5757b80587a9af178f74da6e36278",
  "value": 1000000,
  "index": 0,
  "globalIndex": 195905,
  "creationHeight": 1145251,
  "settlementHeight": 1145253,
  "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(-84,13,55,20,104,-95,-27,127,113,-60,118,12,91,25,-35,67,20,-102,54,-124,-68,-94,-38,78,-103,-119,76,109,-120,-87,12,-16)\n19: Coll(8,-66,-114,-8,-101,-71,-62,102,61,-10,-72,33,-1,-68,-110,23,-54,22,-58,101,64,32,-88,-75,-2,28,116,-29,124,39,-126,-3)\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(34,2,-101,-51,96,-78,62,75,10,105,38,-53,-3,83,-95,-58,16,4,3,-33,14,109,27,63,-84,-127,14,-47,-38,81,-86,94)\n50: 2\n51: 1\n52: 0\n53: Coll(82,28,53,-113,-4,-4,8,123,33,31,-84,81,-107,108,-119,-29,38,27,-15,30,109,-11,17,-99,-78,97,-77,-20,-121,119,69,-67)\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": "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",
  "assets": [
    {
      "tokenId": "d3c7ce0fc494b4d91ae1925aafc24f3c9202ec55d620e030df3fdae3dcbd3ae9",
      "index": 0,
      "amount": 1,
      "name": "Ergo_Crux_LP Stake State NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "b187a8e347d53f9e42cfd725b27986b06c9078f8f3a9e3f27e92a6f59b4dbfdd",
      "index": 1,
      "amount": 999999999983,
      "name": "Ergo_Crux_LP Stake Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "11058e99eb8dc0030022808086ebc77580b089fbea01",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[60144051783,0,17,2019686400000,31536000000]"
    }
  },
  "spentTransactionId": "7c47cce8a732a1e3cb5e17a8ac16506c3ce8e31a163ec7f18f34189d720d1f00",
  "mainChain": true
}