Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (3)
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
Transaction Details
Status: Confirmed
Size: 1.67 KB
Received time: 1/12/2024 06:27:14 AM
Included in blocks: 1,176,238
Confirmations: 600,582
Total coins transferred: 0.003 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000585 ERG
Raw Transaction Data
{
  "id": "6532751bdb066aa3e8e20cf1c8644bc9b0715ae9c2d16e6016ee0719e8b27d35",
  "blockId": "78b8212ea0b72be32a5295a14031557e7cb8cca72df6ab8a302dd949fdc97868",
  "inclusionHeight": 1176238,
  "timestamp": 1705040834068,
  "index": 3,
  "globalIndex": 6457379,
  "numConfirmations": 600582,
  "inputs": [
    {
      "boxId": "ec64dfd64aabdf786c3bdb5d03d2aaff49446cac694cba3901a785a54bc06348",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "e9867ae95736fd8c05291d8f5acc46968e3a505f294116edf702ea997f5e31b1",
      "outputTransactionId": "ae5296044193ac09780deaed86e516c4587ecb9327db9bf5b9154c1b0f0c732a",
      "outputIndex": 0,
      "outputGlobalIndex": 36034885,
      "outputCreatedAt": 1176109,
      "outputSettledAt": 1176111,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(104,23,40,-84,20,-34,85,90,-63,-67,49,92,28,-21,58,-11,9,-71,98,-71,-91,-122,-46,-85,55,-38,74,-68,-85,-96,-128,-120)\n1: 0\n2: Coll(11,-102,-8,113,47,-24,-64,26,-17,90,38,52,-92,54,-1,-54,-24,-7,-101,48,19,-103,117,-127,46,7,113,-98,-88,-103,60,16)\n3: 0\n4: Coll(45,83,66,118,-65,-51,-39,120,107,91,14,30,-102,81,-14,-58,-83,-61,120,87,-82,44,124,-107,43,35,-33,-101,64,60,-50,28)\n5: 0\n6: 50\n7: 50\n8: 10\n9: 0\n10: 0\n11: 100000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 100000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 300\n44: 0\n45: 0\n46: 0\n47: 0\n48: 100000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
      "ergoTreeScript": "{sigmaProp(\n  val l1 = HEIGHT.toLong\n  val l2 = SELF.R4[Long].get\n  val coll3 = placeholder[Coll[Byte]](0)\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val coll5 = box4.propositionBytes\n  val coll6 = SELF.propositionBytes\n  val l7 = box4.value\n  val l8 = SELF.value\n  val coll9 = box4.tokens\n  val coll10 = SELF.tokens\n  val l11 = box4.R4[Long].get\n  val tuple12 = box4.R5[(Long, Long)].get\n  val coll13 = box4.R6[Coll[Byte]].get\n  val l14 = box4.R7[Long].get\n  val l15 = box4.R8[Long].get\n  val l16 = box4.R9[Long].get\n  val tuple17 = SELF.R5[(Long, Long)].get\n  val coll18 = SELF.R6[Coll[Byte]].get\n  val l19 = tuple12._2\n  val l20 = tuple12._1\n  val l21 = SELF.R7[Long].get\n  val l22 = SELF.R9[Long].get\n  val coll23 = placeholder[Coll[Byte]](2)\n  val tuple24 = coll10(placeholder[Int](3))\n  val coll25 = placeholder[Coll[Byte]](4)\n  val tuple26 = coll9(placeholder[Int](5))\n  val l27 = tuple17._2\n  val coll28 = tuple24._1\n  val l29 = tuple17._1\n  val l30 = tuple24._2\n  val coll31 = tuple26._1\n  val l32 = tuple26._2\n  val l33 = l2 + placeholder[Long](6)\n  val l34 = l33 + placeholder[Long](7)\n  if (l1 < l2 - placeholder[Long](8)) {(\n    val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n    val tuple36 = box35.tokens(placeholder[Int](10))\n    val l37 = tuple36._2\n    val l38 = l19\n    val l39 = l20\n    (\n      (\n        (\n          (\n            (\n              (\n                (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n                  coll9 == coll10\n                )\n              ) && (l2 == l11)\n            ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n          ) && (coll13 == box35.R5[Coll[Byte]].get)\n        ) && (l14 == placeholder[Long](13))\n      ) && (l15 == l37)\n    ) && (l16 == placeholder[Long](14))\n  )} else { if ((l1 > l2) && (l1 < l33)) {(\n      val l35 = l27\n      val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n      val l37 = l29\n      (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n                        val box40 = tuple38._2\n                        val l41 = tuple38._1\n                        if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n                      })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n                val box40 = tuple38._2\n                val l41 = tuple38._1\n                if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n              }))) && coll36.forall({(box38: Box) =>\n            val coll40 = box38.tokens\n            ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n          })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n    )} else { if ((l1 > l33) && (l1 < l34)) {(\n        val box35 = INPUTS(placeholder[Int](25))\n        val l36 = box35.R4[Long].get\n        val tuple37 = box35.tokens(placeholder[Int](26))\n        val coll38 = coll28\n        val l39 = l30\n        val box40 = OUTPUTS(placeholder[Int](27))\n        val tuple41 = box40.tokens(placeholder[Int](28))\n        val coll42 = coll31\n        val l43 = l32\n        (((((((((((((if (l21 > placeholder[Long](29)) {(\n                                    val l44 = l22 * placeholder[Long](30) / l21\n                                    if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n                                  )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (box40.propositionBytes == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n      )} else { if (l1 > l34) {(\n          val bool35 = ((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (l15 == placeholder[Long](47))\n          if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n            val box36 = OUTPUTS(placeholder[Int](51))\n            val tuple37 = box36.tokens(placeholder[Int](52))\n            (((((bool35 && (box36.propositionBytes == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n          )} else { bool35 && (coll9 == coll10) }\n        )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6e0fc9d5d213fbe221614b205ed473c9155f761841cd7557f83abc0747a7bad8",
          "index": 0,
          "amount": 1000000000,
          "name": "Counter Tokens",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "590000",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[0,0]"
        },
        "R6": {
          "serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "05aeca8f01",
          "sigmaType": "SLong",
          "renderedValue": "1176215"
        }
      }
    },
    {
      "boxId": "d132b9626d800a96d952b87b3c96284876da4d98976f3a18ba5f44bef9450230",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "dea0cf232f5cdb0252c04c7d01f5d64c7358e7fc2961b8d80947f9bed0ab85a9",
      "outputTransactionId": "5cb7743228075f0327e10b50396a3f8c0ff3ab7e06ca6ff4e86bd3397ce01bdd",
      "outputIndex": 1,
      "outputGlobalIndex": 36021998,
      "outputCreatedAt": 1175797,
      "outputSettledAt": 1175799,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(110,15,-55,-43,-46,19,-5,-30,33,97,75,32,94,-44,115,-55,21,95,118,24,65,-51,117,87,-8,58,-68,7,71,-89,-70,-40)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
      "ergoTreeScript": "{\n  val coll1 = CONTEXT.dataInputs\n  val bool2 = coll1.size > placeholder[Int](0)\n  val coll3 = placeholder[Coll[Byte]](1)\n  if (bool2) {(\n    val box4 = coll1(placeholder[Int](2))\n    proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n      if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n    ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n        val tuple5 = box4.tokens(placeholder[Int](6))\n        (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n      )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n          val coll7 = box5.tokens\n          if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n        }))\n  )} else {(\n    val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n    sigmaProp(\n      ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n        {(box5: Box) =>\n          ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n            box5.R4[Coll[Byte]].get == SELF.id\n          )\n        }\n      )\n    )\n  )}\n}",
      "address": "HujSEtihb6ib81oEuEHwsxPiMRbxavLALLusprG3wfq1TvZG3EbXwxqv2cgWGSDAP5ZYYU147rLL4Sn9SbKQoJMnoJLzavhSktvDkKdFtRoBhVVFCmuQPuA8nWxu22YR5aCfPFSDH5YVC2C83NF4cw4xFyfF9CMmSfBDhzv8GrKFuhLLwWxf1MfSM6PUxgFoU777xn9dJhTWEz6bk1nUWrru19nzPuasMpJpuTYeKX4CeNUsk6SzuHF5gARMpNyxwBRugtjiKEmSNeX9tDnwQKjEzJff2tTLpbkqE7364jhy8sFfMzb1AT7dVnHkLNruoFhDQ6kTPgdtj7GNViin4gK9mctaVHfAKFwXY9msgmquSPxhTseLpUpxPJuHgcodnreZYWYW73PpbTkQHmHebwPDFx7NHeHGaQsCBr9zEvPbJ4VAUtnX3ezVptwwfxwP232akuGyV5ueYR6tPTpp8",
      "assets": [
        {
          "tokenId": "0b9af8712fe8c01aef5a2634a436ffcae8f99b30139975812e07719ea8993c10",
          "index": 0,
          "amount": 1,
          "name": "Vote Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "681728ac14de555ac1bd315c1ceb3af509b962b9a586d2ab37da4abcaba08088",
          "index": 1,
          "amount": 50,
          "name": "Test quacks",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
        },
        "R6": {
          "serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
          "sigmaType": "SGroupElement",
          "renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
        },
        "R8": {
          "serializedValue": "05f4c38f01",
          "sigmaType": "SLong",
          "renderedValue": "1175802"
        },
        "R7": {
          "serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
        },
        "R9": {
          "serializedValue": "0400",
          "sigmaType": "SInt",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "0580897a",
          "sigmaType": "SLong",
          "renderedValue": "1000000"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "57d6da855969a4c3852f5cf8c3952a564c0ee4a11fbafc1f73987ac4e84081e2",
      "transactionId": "6532751bdb066aa3e8e20cf1c8644bc9b0715ae9c2d16e6016ee0719e8b27d35",
      "blockId": "78b8212ea0b72be32a5295a14031557e7cb8cca72df6ab8a302dd949fdc97868",
      "value": 1000000,
      "index": 0,
      "globalIndex": 36040207,
      "creationHeight": 1176236,
      "settlementHeight": 1176238,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(104,23,40,-84,20,-34,85,90,-63,-67,49,92,28,-21,58,-11,9,-71,98,-71,-91,-122,-46,-85,55,-38,74,-68,-85,-96,-128,-120)\n1: 0\n2: Coll(11,-102,-8,113,47,-24,-64,26,-17,90,38,52,-92,54,-1,-54,-24,-7,-101,48,19,-103,117,-127,46,7,113,-98,-88,-103,60,16)\n3: 0\n4: Coll(45,83,66,118,-65,-51,-39,120,107,91,14,30,-102,81,-14,-58,-83,-61,120,87,-82,44,124,-107,43,35,-33,-101,64,60,-50,28)\n5: 0\n6: 50\n7: 50\n8: 10\n9: 0\n10: 0\n11: 100000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 100000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 300\n44: 0\n45: 0\n46: 0\n47: 0\n48: 100000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
      "ergoTreeScript": "{sigmaProp(\n  val l1 = HEIGHT.toLong\n  val l2 = SELF.R4[Long].get\n  val coll3 = placeholder[Coll[Byte]](0)\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val coll5 = box4.propositionBytes\n  val coll6 = SELF.propositionBytes\n  val l7 = box4.value\n  val l8 = SELF.value\n  val coll9 = box4.tokens\n  val coll10 = SELF.tokens\n  val l11 = box4.R4[Long].get\n  val tuple12 = box4.R5[(Long, Long)].get\n  val coll13 = box4.R6[Coll[Byte]].get\n  val l14 = box4.R7[Long].get\n  val l15 = box4.R8[Long].get\n  val l16 = box4.R9[Long].get\n  val tuple17 = SELF.R5[(Long, Long)].get\n  val coll18 = SELF.R6[Coll[Byte]].get\n  val l19 = tuple12._2\n  val l20 = tuple12._1\n  val l21 = SELF.R7[Long].get\n  val l22 = SELF.R9[Long].get\n  val coll23 = placeholder[Coll[Byte]](2)\n  val tuple24 = coll10(placeholder[Int](3))\n  val coll25 = placeholder[Coll[Byte]](4)\n  val tuple26 = coll9(placeholder[Int](5))\n  val l27 = tuple17._2\n  val coll28 = tuple24._1\n  val l29 = tuple17._1\n  val l30 = tuple24._2\n  val coll31 = tuple26._1\n  val l32 = tuple26._2\n  val l33 = l2 + placeholder[Long](6)\n  val l34 = l33 + placeholder[Long](7)\n  if (l1 < l2 - placeholder[Long](8)) {(\n    val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n    val tuple36 = box35.tokens(placeholder[Int](10))\n    val l37 = tuple36._2\n    val l38 = l19\n    val l39 = l20\n    (\n      (\n        (\n          (\n            (\n              (\n                (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n                  coll9 == coll10\n                )\n              ) && (l2 == l11)\n            ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n          ) && (coll13 == box35.R5[Coll[Byte]].get)\n        ) && (l14 == placeholder[Long](13))\n      ) && (l15 == l37)\n    ) && (l16 == placeholder[Long](14))\n  )} else { if ((l1 > l2) && (l1 < l33)) {(\n      val l35 = l27\n      val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n      val l37 = l29\n      (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n                        val box40 = tuple38._2\n                        val l41 = tuple38._1\n                        if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n                      })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n                val box40 = tuple38._2\n                val l41 = tuple38._1\n                if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n              }))) && coll36.forall({(box38: Box) =>\n            val coll40 = box38.tokens\n            ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n          })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n    )} else { if ((l1 > l33) && (l1 < l34)) {(\n        val box35 = INPUTS(placeholder[Int](25))\n        val l36 = box35.R4[Long].get\n        val tuple37 = box35.tokens(placeholder[Int](26))\n        val coll38 = coll28\n        val l39 = l30\n        val box40 = OUTPUTS(placeholder[Int](27))\n        val tuple41 = box40.tokens(placeholder[Int](28))\n        val coll42 = coll31\n        val l43 = l32\n        (((((((((((((if (l21 > placeholder[Long](29)) {(\n                                    val l44 = l22 * placeholder[Long](30) / l21\n                                    if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n                                  )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (box40.propositionBytes == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n      )} else { if (l1 > l34) {(\n          val bool35 = ((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (l15 == placeholder[Long](47))\n          if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n            val box36 = OUTPUTS(placeholder[Int](51))\n            val tuple37 = box36.tokens(placeholder[Int](52))\n            (((((bool35 && (box36.propositionBytes == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n          )} else { bool35 && (coll9 == coll10) }\n        )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6e0fc9d5d213fbe221614b205ed473c9155f761841cd7557f83abc0747a7bad8",
          "index": 0,
          "amount": 1000000000,
          "name": "Counter Tokens",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "590000",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[0,0]"
        },
        "R6": {
          "serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0564",
          "sigmaType": "SLong",
          "renderedValue": "50"
        },
        "R9": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "05aeca8f01",
          "sigmaType": "SLong",
          "renderedValue": "1176215"
        }
      },
      "spentTransactionId": "82a9c877a499cb25ea33289847e4ab33a3eb39f36d1efca5a520185d23b96183",
      "mainChain": true
    },
    {
      "boxId": "3d79d74e82479da06726f353153afd717d61c479de8ceea222856ddee59dcb72",
      "transactionId": "6532751bdb066aa3e8e20cf1c8644bc9b0715ae9c2d16e6016ee0719e8b27d35",
      "blockId": "78b8212ea0b72be32a5295a14031557e7cb8cca72df6ab8a302dd949fdc97868",
      "value": 1000000,
      "index": 1,
      "globalIndex": 36040208,
      "creationHeight": 1176236,
      "settlementHeight": 1176238,
      "ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
      "address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
      "assets": [
        {
          "tokenId": "681728ac14de555ac1bd315c1ceb3af509b962b9a586d2ab37da4abcaba08088",
          "index": 0,
          "amount": 50,
          "name": "Test quacks",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20d132b9626d800a96d952b87b3c96284876da4d98976f3a18ba5f44bef9450230",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d132b9626d800a96d952b87b3c96284876da4d98976f3a18ba5f44bef9450230"
        }
      },
      "spentTransactionId": "62d5e37065207ea28db74657cc2661f8cfd7f7d802006b5ffa2879f43b83a657",
      "mainChain": true
    },
    {
      "boxId": "0b2a2900ed99ab92caddfb4f8a2d1893f10cd69697688c6342f1e4dd39b5eaef",
      "transactionId": "6532751bdb066aa3e8e20cf1c8644bc9b0715ae9c2d16e6016ee0719e8b27d35",
      "blockId": "78b8212ea0b72be32a5295a14031557e7cb8cca72df6ab8a302dd949fdc97868",
      "value": 1000000,
      "index": 2,
      "globalIndex": 36040209,
      "creationHeight": 1176236,
      "settlementHeight": 1176238,
      "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": "54468f712e5c40cc4c5ccecfa14f8ec9a6167e176719d65f5b4c7799d4817a51",
      "mainChain": true
    }
  ],
  "size": 1708,
  "isUnconfirmed": false
}