Ad
Inputs (4)
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:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.01825 ERG
Outputs (7)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.01325 ERG
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 3.94 KB
Received time: 7/4/2022 12:05:59 PM
Included in blocks: 785,850
Confirmations: 970,847
Total coins transferred: 0.02125 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000248 ERG
Raw Transaction Data
{
  "id": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
  "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
  "inclusionHeight": 785850,
  "timestamp": 1656936359778,
  "index": 13,
  "globalIndex": 3485683,
  "numConfirmations": 970847,
  "inputs": [
    {
      "boxId": "777fe1a11aefb14cefa46e2c2a43f0ef0f8225c9929abf499115af364d778eb6",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "outputTransactionId": "b8a195df18ce82c287777f548fbc26b2868b5186252e5500c07770ed52afbdba",
      "outputIndex": 0,
      "outputGlobalIndex": 18686098,
      "outputCreatedAt": 785848,
      "outputSettledAt": 785850,
      "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(8,121,108,2,-41,123,11,108,-71,-87,56,-16,22,47,-34,80,-16,-38,-24,43,-40,125,88,-72,-11,-95,-21,6,-91,17,-9,96)\n19: Coll(-105,-68,-107,-111,-91,16,1,-127,-8,-81,-55,-9,108,59,-111,76,-120,26,-8,-68,13,-56,75,1,32,-74,89,-93,29,110,-31,50)\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(-33,-42,86,17,1,-126,28,93,111,37,-53,44,-110,5,113,-119,88,0,-24,-101,-53,1,-103,-78,-6,-72,62,-70,-52,-12,97,-89)\n50: 2\n51: 1\n52: 0\n53: Coll(-38,-95,69,-114,33,-104,-20,106,-33,-97,118,-1,-54,-69,-76,-84,73,67,-83,91,100,-47,67,20,27,-82,-93,89,3,-43,-71,29)\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": "f39cc56b49f41a96c2b350e3c5c9af7eba9ed1614a29c1c4a4ac50efcdf849e9",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Stake State NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "19a61778357062c0408acd1a3fbaac2bb324b8c17aabd2f8fbc2b27778bffe4f",
          "index": 1,
          "amount": 999999999997,
          "name": "EGIOStakingV2Test Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1105e8c6fab894038a0106b0dce782b96080bab703",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[54283686324,69,3,1656920799000,3600000]"
        }
      }
    },
    {
      "boxId": "bb06d2a84dad203135402cd1813569c25d4fcbfa8cfea6c64f9b68d6d06ff87d",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "outputTransactionId": "b8a195df18ce82c287777f548fbc26b2868b5186252e5500c07770ed52afbdba",
      "outputIndex": 1,
      "outputGlobalIndex": 18686099,
      "outputCreatedAt": 785848,
      "outputSettledAt": 785850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.id\n  sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n      val box3 = OUTPUTS(placeholder[Int](4))\n      val coll4 = box3.tokens\n      val coll5 = SELF.tokens\n      val tuple6 = coll5(placeholder[Int](5))\n      val coll7 = INPUTS(placeholder[Int](6)).tokens\n      val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n      val l9 = tuple6._2 + l8\n      val coll10 = SELF.R4[Coll[Long]].get\n      val l11 = coll10(placeholder[Int](10))\n      val coll12 = tuple6._1\n      val l13 = l11 / placeholder[Long](11)\n      val box14 = OUTPUTS(placeholder[Int](12))\n      allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n                val tuple15 = coll4(placeholder[Int](15))\n                allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n              )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n            val tuple15 = box14.tokens(placeholder[Int](21))\n            allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n          )} else { placeholder[Boolean](24) }))\n    )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "dfd6561101821c5d6f25cb2c920571895800e89bcb0199b2fab83ebaccf461a7",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Stake Pool NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "97bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132",
          "index": 1,
          "amount": 90178120060,
          "name": "EGIOStakingV2Test",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "110180a7dbf505",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[794520000]"
        },
        "R5": {
          "serializedValue": "0e208f9762e68ac1965c60fa4d35014eff6c52e49b9f9277f7d78ad569d4ce07e82d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8f9762e68ac1965c60fa4d35014eff6c52e49b9f9277f7d78ad569d4ce07e82d"
        }
      }
    },
    {
      "boxId": "2c6fb96f7459111df8cdca0d9b01a23b26d2b469ccefd98bb083e986cdfc74a1",
      "value": 1000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "outputTransactionId": "61a570114256453481cdb4cf92d341cb46f9bd23a0632a040788a9b0decacd3d",
      "outputIndex": 0,
      "outputGlobalIndex": 18686110,
      "outputCreatedAt": 785848,
      "outputSettledAt": 785850,
      "ergoTree": "102d0400040404020e2097bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132040004000e20f39cc56b49f41a96c2b350e3c5c9af7eba9ed1614a29c1c4a4ac50efcdf849e90404040604000402040205000402040004060400040605c8010400040001000402040004000e2019a61778357062c0408acd1a3fbaac2bb324b8c17aabd2f8fbc2b27778bffe4f040004020100040606010004020400040004000402040204000404040004040404040404060100d807d601b2a4730000d602c5a7d603b2a5730100d604b2a4730200d6057303d606b2a5730400d607db6308a7d1ec9596830201938cb2db6308720173050001730693c5b2a47307007202d807d608e4c672030411d609b27208730800d60ab2e4c672040411730900d60bdb6308a7d60c9a8cb2db63087204730a00028cb2720b730b018602830002730c02d60ddb63087203d60eb2720d730d009683070193c17203c1a793c27203c2a793b47208730e730fb4e4c67201041173107311937209958f720a720c99720a9d720a7312720c938cb2720d731300018cb2720b73140001938c720e017205938c720e02720973159593c572017202d807d608db63087206d6097e8cb272077316000206d60ab5a4d9010a63d801d60cdb6308720a9591b1720c7317ed938cb2720c73180001731993b2e4c6720a0411731a00b2e4c6a70411731b00731cd60be4c6a70411d60cb2720b731d00d60db0720a731ed9010d42639a8c720d019d9c7e8cb2db63088c720d02731f0002067e720c067eb2720b73200006d60ee4c6720604119683070193c17206c1a793c27206c2a7938cb27208732100018cb272077322000195907209720d93b172087323d801d60fb27208732400ed938c720f017205927e8c720f0206997209720d93b4720e73257326b4720b7327732893b2720e73290099b2720b732a007eb1720a0593b2720e732b00720c732c",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(-105,-68,-107,-111,-91,16,1,-127,-8,-81,-55,-9,108,59,-111,76,-120,26,-8,-68,13,-56,75,1,32,-74,89,-93,29,110,-31,50)\n4: 0\n5: 0\n6: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(25,-90,23,120,53,112,98,-64,64,-118,-51,26,63,-70,-84,43,-77,36,-72,-63,122,-85,-46,-8,-5,-62,-78,119,120,-65,-2,79)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.id\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = placeholder[Coll[Byte]](3)\n  val box6 = OUTPUTS(placeholder[Int](4))\n  val coll7 = SELF.tokens\n  sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n      val coll8 = box3.R4[Coll[Long]].get\n      val l9 = coll8(placeholder[Int](8))\n      val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n      val coll11 = SELF.tokens\n      val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n      val coll13 = box3.tokens\n      val tuple14 = coll13(placeholder[Int](13))\n      allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n    )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n      val coll8 = box6.tokens\n      val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n      val coll10 = INPUTS.filter({(box10: Box) =>\n          val coll12 = box10.tokens\n          if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n        })\n      val coll11 = SELF.R4[Coll[Long]].get\n      val l12 = coll11(placeholder[Int](29))\n      val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n      val coll14 = box6.R4[Coll[Long]].get\n      allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n            val tuple15 = coll8(placeholder[Int](36))\n            (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n          )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n    )} else { placeholder[Boolean](44) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "daa1458e2198ec6adf9f76ffcabbb4ac4943ad5b64d143141baea35903d5b91d",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Emission NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "97bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132",
          "index": 1,
          "amount": 1,
          "name": "EGIOStakingV2Test",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1104ca8fe9ca8e03880100a0b791ee05",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[53497111525,68,0,786574800]"
        }
      }
    },
    {
      "boxId": "80cff127df3821ad468cab8ec3abc83ab5b47c68f3987a38bb2d96de3208b0a1",
      "value": 18250000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "outputTransactionId": "61a570114256453481cdb4cf92d341cb46f9bd23a0632a040788a9b0decacd3d",
      "outputIndex": 4,
      "outputGlobalIndex": 18686114,
      "outputCreatedAt": 785848,
      "outputSettledAt": 785850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(-38,-95,69,-114,33,-104,-20,106,-33,-97,118,-1,-54,-69,-76,-84,73,67,-83,91,100,-47,67,20,27,-82,-93,89,3,-43,-71,29)\n10: 3\n11: 0\n12: 0\n13: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(25,-90,23,120,53,112,98,-64,64,-118,-51,26,63,-70,-84,43,-77,36,-72,-63,122,-85,-46,-8,-5,-62,-78,119,120,-65,-2,79)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(-113,-105,98,-26,-118,-63,-106,92,96,-6,77,53,1,78,-1,108,82,-28,-101,-97,-110,119,-9,-41,-118,-43,105,-44,-50,7,-24,45)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "ccf5caee32c2c34bda49bc09b39510a1c68a50edf8fc7f096ba94393681ba8c9",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 1000000,
      "index": 0,
      "globalIndex": 18686126,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "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(8,121,108,2,-41,123,11,108,-71,-87,56,-16,22,47,-34,80,-16,-38,-24,43,-40,125,88,-72,-11,-95,-21,6,-91,17,-9,96)\n19: Coll(-105,-68,-107,-111,-91,16,1,-127,-8,-81,-55,-9,108,59,-111,76,-120,26,-8,-68,13,-56,75,1,32,-74,89,-93,29,110,-31,50)\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(-33,-42,86,17,1,-126,28,93,111,37,-53,44,-110,5,113,-119,88,0,-24,-101,-53,1,-103,-78,-6,-72,62,-70,-52,-12,97,-89)\n50: 2\n51: 1\n52: 0\n53: Coll(-38,-95,69,-114,33,-104,-20,106,-33,-97,118,-1,-54,-69,-76,-84,73,67,-83,91,100,-47,67,20,27,-82,-93,89,3,-43,-71,29)\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": "f39cc56b49f41a96c2b350e3c5c9af7eba9ed1614a29c1c4a4ac50efcdf849e9",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Stake State NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "19a61778357062c0408acd1a3fbaac2bb324b8c17aabd2f8fbc2b27778bffe4f",
          "index": 1,
          "amount": 999999999997,
          "name": "EGIOStakingV2Test Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "110586fe8ba79a038c0106b0969f86b96080bab703",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[55070261123,70,3,1656924399000,3600000]"
        }
      },
      "spentTransactionId": "024b229b53d95171554fb6a7bf75c5318ddd0bd3783cff25799f05da97710282",
      "mainChain": true
    },
    {
      "boxId": "72048d6e2d6798ab5f360ce0b2333750960e19764a6c665d1321467aa24ff542",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 1000000,
      "index": 1,
      "globalIndex": 18686127,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.id\n  sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n      val box3 = OUTPUTS(placeholder[Int](4))\n      val coll4 = box3.tokens\n      val coll5 = SELF.tokens\n      val tuple6 = coll5(placeholder[Int](5))\n      val coll7 = INPUTS(placeholder[Int](6)).tokens\n      val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n      val l9 = tuple6._2 + l8\n      val coll10 = SELF.R4[Coll[Long]].get\n      val l11 = coll10(placeholder[Int](10))\n      val coll12 = tuple6._1\n      val l13 = l11 / placeholder[Long](11)\n      val box14 = OUTPUTS(placeholder[Int](12))\n      allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n                val tuple15 = coll4(placeholder[Int](15))\n                allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n              )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n            val tuple15 = box14.tokens(placeholder[Int](21))\n            allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n          )} else { placeholder[Boolean](24) }))\n    )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "dfd6561101821c5d6f25cb2c920571895800e89bcb0199b2fab83ebaccf461a7",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Stake Pool NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "97bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132",
          "index": 1,
          "amount": 89383600061,
          "name": "EGIOStakingV2Test",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "110180a7dbf505",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[794520000]"
        },
        "R5": {
          "serializedValue": "0e208f9762e68ac1965c60fa4d35014eff6c52e49b9f9277f7d78ad569d4ce07e82d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8f9762e68ac1965c60fa4d35014eff6c52e49b9f9277f7d78ad569d4ce07e82d"
        }
      },
      "spentTransactionId": "024b229b53d95171554fb6a7bf75c5318ddd0bd3783cff25799f05da97710282",
      "mainChain": true
    },
    {
      "boxId": "c2e803eb915a12a9724383e689ff7333cc1c511e6b4c56d9a5e8887f62b6c891",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 1000000,
      "index": 2,
      "globalIndex": 18686128,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(-105,-68,-107,-111,-91,16,1,-127,-8,-81,-55,-9,108,59,-111,76,-120,26,-8,-68,13,-56,75,1,32,-74,89,-93,29,110,-31,50)\n4: 0\n5: 0\n6: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(25,-90,23,120,53,112,98,-64,64,-118,-51,26,63,-70,-84,43,-77,36,-72,-63,122,-85,-46,-8,-5,-62,-78,119,120,-65,-2,79)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.id\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = placeholder[Coll[Byte]](3)\n  val box6 = OUTPUTS(placeholder[Int](4))\n  val coll7 = SELF.tokens\n  sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n      val coll8 = box3.R4[Coll[Long]].get\n      val l9 = coll8(placeholder[Int](8))\n      val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n      val coll11 = SELF.tokens\n      val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n      val coll13 = box3.tokens\n      val tuple14 = coll13(placeholder[Int](13))\n      allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n    )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n      val coll8 = box6.tokens\n      val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n      val coll10 = INPUTS.filter({(box10: Box) =>\n          val coll12 = box10.tokens\n          if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n        })\n      val coll11 = SELF.R4[Coll[Long]].get\n      val l12 = coll11(placeholder[Int](29))\n      val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n      val coll14 = box6.R4[Coll[Long]].get\n      allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n            val tuple15 = coll8(placeholder[Int](36))\n            (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n          )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n    )} else { placeholder[Boolean](44) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "daa1458e2198ec6adf9f76ffcabbb4ac4943ad5b64d143141baea35903d5b91d",
          "index": 0,
          "amount": 1,
          "name": "EGIOStakingV2Test Emission NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "97bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132",
          "index": 1,
          "amount": 786574800,
          "name": "EGIOStakingV2Test",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1104e8c6fab894038a0106a0b791ee05",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[54283686324,69,3,786574800]"
        }
      },
      "spentTransactionId": "a30c0be3d11bab1a606c7664435b60ead545802995c8d97875edf1987aabc2a6",
      "mainChain": true
    },
    {
      "boxId": "b3f8d3cf017467b9b00d74de5e46c6479bc07aad542fe9019071aacf07ef5dd1",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 1000000,
      "index": 3,
      "globalIndex": 18686129,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
      "address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
      "assets": [
        {
          "tokenId": "97bc9591a5100181f8afc9f76c3b914c881af8bc0dc84b0120b659a31d6ee132",
          "index": 0,
          "amount": 7945200,
          "name": "EGIOStakingV2Test",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "f048bde8f3d39d8caa002a419ae7a599c0db0f07a15e4743f90c56bd544d5cf0",
      "mainChain": true
    },
    {
      "boxId": "3755d26e84a45ddbdbc825b615aa180863341d35d3a2d517c8688f72385265b6",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 13250000,
      "index": 4,
      "globalIndex": 18686130,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(-38,-95,69,-114,33,-104,-20,106,-33,-97,118,-1,-54,-69,-76,-84,73,67,-83,91,100,-47,67,20,27,-82,-93,89,3,-43,-71,29)\n10: 3\n11: 0\n12: 0\n13: Coll(-13,-100,-59,107,73,-12,26,-106,-62,-77,80,-29,-59,-55,-81,126,-70,-98,-47,97,74,41,-63,-60,-92,-84,80,-17,-51,-8,73,-23)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(25,-90,23,120,53,112,98,-64,64,-118,-51,26,63,-70,-84,43,-77,36,-72,-63,122,-85,-46,-8,-5,-62,-78,119,120,-65,-2,79)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(-113,-105,98,-26,-118,-63,-106,92,96,-6,77,53,1,78,-1,108,82,-28,-101,-97,-110,119,-9,-41,-118,-43,105,-44,-50,7,-24,45)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a30c0be3d11bab1a606c7664435b60ead545802995c8d97875edf1987aabc2a6",
      "mainChain": true
    },
    {
      "boxId": "2191923c54d4c55e10381089a0db88025e098a5913dcbed4d31b6828921cc196",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 3000000,
      "index": 5,
      "globalIndex": 18686131,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "ergoTree": "0008cd03a596e356aa9ccd5959f7abbffbba0701cc5ab05715ee383d7953126494f53bbf",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a596e3,7bb3ee,...)))}",
      "address": "9hijT613EvcW9vXRgSCwdGn2moo3ZdjcCmNir8qHs7SWzpBVMYr",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "e00b98b25e28a886f350d9d57cba69f10fe02a8125983af77c0f3eed820510b5",
      "mainChain": true
    },
    {
      "boxId": "082c919ce853cd08afaf0eb2b0ffbfc9044be97e7b17278705cdbc1cc91d4c3f",
      "transactionId": "87fadee09af698478570af41d7010ad012e4608d81b9bf2bf2f01d94ce9522ed",
      "blockId": "807aef350af753f1f98aae8c29f42149cde9c3be06309ad16698f12b7443607b",
      "value": 1000000,
      "index": 6,
      "globalIndex": 18686132,
      "creationHeight": 785848,
      "settlementHeight": 785850,
      "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": "705a4eac8e3ee63811b593a8e36e6f99a076b0a9a5e29b9ad86187ce05ac6146",
      "mainChain": true
    }
  ],
  "size": 4039,
  "isUnconfirmed": false
}