Ad
Inputs (11)
Output transaction:
Settlement height:
Value:
7,777.49 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
11.34 ERG
Output transaction:
Settlement height:
Value:
10.73 ERG
Output transaction:
Settlement height:
Value:
9.79 ERG
Output transaction:
Settlement height:
Value:
11.72 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
757
Output transaction:
Settlement height:
Value:
16.59 ERG
Output transaction:
Settlement height:
Value:
8.48 ERG
Output transaction:
Settlement height:
Value:
10.4 ERG
Output transaction:
Settlement height:
Value:
10.64 ERG
Output transaction:
Settlement height:
Value:
517.17 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
8,027.49 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
355.6 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
1.25 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 4.28 KB
Received time: 8/11/2024 04:30:44 PM
Included in blocks: 1,327,910
Confirmations: 433,860
Total coins transferred: 8,384.34 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000228 ERG
Raw Transaction Data
{
  "id": "a0b21b53beb9b73cc0f052347649eec06ed2f85a2e63c268780bcdbc89825f69",
  "blockId": "fc712396835991d391584ac96b4668d4e863953102577c004417d99b493d821a",
  "inclusionHeight": 1327910,
  "timestamp": 1723393844984,
  "index": 18,
  "globalIndex": 7635898,
  "numConfirmations": 433860,
  "inputs": [
    {
      "boxId": "e688d903c32c240eed6b10865e8239e163ee9958484916b53a3ed562864b01a9",
      "value": 7777488964000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "e21aa5586cec58a07961722ba9d6db8174997f68846b6cdd307667ac5d729f1e",
      "outputTransactionId": "1e03ff7471ffe5e8cc1c6e6cc9542ac9290a924c43df6b2a5e8be562bb13d6a6",
      "outputIndex": 0,
      "outputGlobalIndex": 42083330,
      "outputCreatedAt": 1327896,
      "outputSettledAt": 1327898,
      "ergoTree": 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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS(placeholder[Int](0))\n  val coll3 = box2.tokens\n  val tuple4 = coll1(placeholder[Int](1))\n  val tuple5 = coll3(placeholder[Int](2))\n  val tuple6 = coll1(placeholder[Int](3))\n  val tuple7 = coll3(placeholder[Int](4))\n  val tuple8 = SELF.R4[(Long, Long)].get\n  val bool9 = tuple8 == box2.R4[(Long, Long)].get\n  val prop10 = SELF.R5[SigmaProp].get\n  val prop11 = box2.R5[SigmaProp].get\n  val tuple12 = SELF.R6[(Long, Long)].get\n  val l13 = tuple12._2\n  val tuple14 = box2.R6[(Long, Long)].get\n  val l15 = tuple14._2\n  val bool16 = allOf(\n    Coll[Boolean](\n      coll1(placeholder[Int](5))._1 == coll3(\n        placeholder[Int](6)\n      )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n    )\n  )\n  val l17 = tuple4._2\n  val l18 = tuple5._2\n  val bool19 = l17 > l18\n  val l20 = tuple6._2\n  val l21 = tuple7._2\n  val bool22 = l20 > l21\n  val l23 = SELF.value\n  val l24 = box2.value\n  val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n  val bool26 = l17 < l18\n  val bool27 = l20 < l21\n  val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n  val bool29 = l23 == l24\n  val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n  val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n  val l32 = tuple12._1\n  val coll33 = prop10.propBytes\n  val coll34 = SELF.R7[Coll[Long]].get\n  val coll35 = box2.R7[Coll[Long]].get\n  val coll36 = SELF.R8[Coll[Long]].get\n  val coll37 = box2.R8[Coll[Long]].get\n  val l38 = SELF.R9[Long].get\n  val l39 = box2.R9[Long].get\n  if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n    val bi40 = tuple8._1 - l17.toBigInt\n    val bi41 = placeholder[BigInt](7)\n    val bi42 = placeholder[BigInt](8)\n    val bi43 = l23 - placeholder[Long](9).toBigInt\n    val bi44 = tuple8._2 - l20.toBigInt\n    val opt45 = getVar[SigmaProp](0.toByte)\n    val bi46 = min(\n      placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n    )\n    val bi47 = bi41 - bi46\n    val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n    val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n    val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n      if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n    }\n    val bi51 = placeholder[BigInt](13) * bi50 / bi42\n    val bi52 = placeholder[BigInt](14)\n    val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n    val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n    val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n    val coll56 = if (bool31 || bool30) {\n      if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n        Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n      }\n    } else {\n      if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n        Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n      }\n    }\n    val tuple57 = coll56(placeholder[Int](19))\n    val bi58 = tuple57._2\n    val tuple59 = coll56(placeholder[Int](20))\n    val bi60 = tuple59._2\n    val box61 = OUTPUTS(placeholder[Int](21))\n    val coll62 = tuple59._1\n    val bool63 = bi60 > bi52\n    val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n            val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n            allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n          )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n              val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n              allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n            )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n            val coll64 = box61.propositionBytes\n            val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n            allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n          )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n    val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n    val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n    if (bool25) {(\n      val bi67 = l24 - l23.toBigInt\n      val bi68 = bi41 - bi41 / bi42\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n              37\n            ), bool64, bool65\n          )\n        )\n      )\n    )} else { if (bool28) {(\n        val bi67 = l23 - l24.toBigInt\n        val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n        sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n      )} else { if (bool30) {(\n          val l67 = l21 - l20\n          val bi68 = func66(coll37)\n          val bi69 = func66(coll35)\n          val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n          val bool71 = i70 == placeholder[Int](41)\n          val bool72 = i70 > placeholder[Int](42)\n          val i73 = placeholder[Int](43) - i70\n          sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n        )} else { if (bool31) {(\n            val l67 = l18 - l17\n            val bi68 = func66(coll35)\n            val bi69 = func66(coll37)\n            val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n            val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n            val bool72 = i71 == placeholder[Int](76)\n            val bool73 = i71 > placeholder[Int](77)\n            val i74 = placeholder[Int](78) - i71\n            sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n          )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n  )} else {\n    if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n          )\n        )\n      ) && prop10\n    } else { sigmaProp(placeholder[Boolean](110)) }\n  }\n}",
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      "spendingProof": "165802db1d194a0c6ad36ef2085c93596c6cd2185c4d13551795c24551016b0b1a6bf297a43ed6dcbb63c340f550bae6ded99b616855c9fb",
      "outputBlockId": "df48e90ecf09c2be3a32c4c9396a9fe78018885c44a42cd62a51cb7f3a66ea9f",
      "outputTransactionId": "beb9182fb01a7781ad93e23631bd06dc1e349d1c02aa46ae02f4619d3450c9d1",
      "outputIndex": 3,
      "outputGlobalIndex": 41956709,
      "outputCreatedAt": 1323385,
      "outputSettledAt": 1323387,
      "ergoTree": "0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e08ff0,d47e1a,...)))}",
      "address": "9iAhqGvA7dqDykKnUmPjxhwxjx6Xb666RvaYDFKDhxeHPkTTLGH",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "aa3f0d2a1372de357d2ddffbd91317f7f2bc9c124b5bb1f0a1bae9733ae278f6",
      "value": 8481047720,
      "index": 7,
      "spendingProof": "e8059bd235c08ce2d5c5337edf25c8c71758b32f1d582336e830b5bad9f5d2a7390649aee14e31fd34e4a326280b92bc0e37897c5d47ff39",
      "outputBlockId": "6f3b8a0f1f1144c77badd1afce69153453f58cd80c8fda6f96457709114568ef",
      "outputTransactionId": "8a9b7928524c1e79c22c2420a3761a400d8104458ce41b0f93c6b5ce4674918e",
      "outputIndex": 1,
      "outputGlobalIndex": 41956757,
      "outputCreatedAt": 1323386,
      "outputSettledAt": 1323388,
      "ergoTree": "0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e08ff0,d47e1a,...)))}",
      "address": "9iAhqGvA7dqDykKnUmPjxhwxjx6Xb666RvaYDFKDhxeHPkTTLGH",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "cdded0cc50fb78a76d561fbabc2ec6f56a817a4809b76a441929a55531f41cd6",
      "value": 10395585869,
      "index": 8,
      "spendingProof": "d2fd82614c3a6baf277309026b7cb769640dffa6d65f5229f4dd2acb3fd7587f20552d0086ca97c0fe1a6bd85196cc5fc0706556c9e53e05",
      "outputBlockId": "bd0401d212c74b9f0d9d6bf776fb95ded664d25e853380ba57fbac559730f2f1",
      "outputTransactionId": "1af388c95d7d2110309d18487cbf39183ccb0e3518ae66e4546443f0c28bf7d7",
      "outputIndex": 2,
      "outputGlobalIndex": 41958180,
      "outputCreatedAt": 1323414,
      "outputSettledAt": 1323417,
      "ergoTree": "0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e08ff0,d47e1a,...)))}",
      "address": "9iAhqGvA7dqDykKnUmPjxhwxjx6Xb666RvaYDFKDhxeHPkTTLGH",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "46d0c1d0a4c9a3566d9254828d25bc202e3efdf24669c2c81f8c7365cc59355a",
      "value": 10639228310,
      "index": 9,
      "spendingProof": "347992618e36e38243f2f3b4833eb59dda09c24319f85ba0c555515acfbe013c0ba369afd3ed1290b5a9f10b47368c30ba54ed0a90b822ed",
      "outputBlockId": "d1c4847c3f702dcea36adb3b2ed93ea7c3d773a13613b2681b6658b66d74405d",
      "outputTransactionId": "fd3de293716c961efbe2bfef4b87bfb227ee6d1b53c7ba9dff9fad861d975de9",
      "outputIndex": 2,
      "outputGlobalIndex": 41958207,
      "outputCreatedAt": 1323417,
      "outputSettledAt": 1323419,
      "ergoTree": "0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e08ff0,d47e1a,...)))}",
      "address": "9iAhqGvA7dqDykKnUmPjxhwxjx6Xb666RvaYDFKDhxeHPkTTLGH",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "68c9b1577e3441de0e1fbd5fcafbfa2f7013a9d3978a4cbe00653a4aeb8cf51e",
      "value": 517173892460,
      "index": 10,
      "spendingProof": "22c0abb7e553854caafea72b714e66ca3df64e35e62c29848a9c041ad92cbdca8db6bb1e8d516291edbd0f20f936743172c32e1e03028b20",
      "outputBlockId": "27ab71178272258b695f937158c53624d5239b87d04e991a90b43c99468ed14c",
      "outputTransactionId": "4da510e4acd0f4527f9cbacab4049ac0359b345b15edefe85f23d5176c712c22",
      "outputIndex": 2,
      "outputGlobalIndex": 42082925,
      "outputCreatedAt": 1327870,
      "outputSettledAt": 1327872,
      "ergoTree": "0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e08ff0,d47e1a,...)))}",
      "address": "9iAhqGvA7dqDykKnUmPjxhwxjx6Xb666RvaYDFKDhxeHPkTTLGH",
      "assets": [
        {
          "tokenId": "94c94a5d7fb4387e48558e566e769053298982a27a8d41cc831f2cb507621fd7",
          "index": 0,
          "amount": 1,
          "name": "Crux Finance Phase 1 Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "29cf7bfcb987910574c058c82973fc19f798be5306cf47908fa8f3250f540e6f",
          "index": 1,
          "amount": 20,
          "name": "USE R9 TO COMMUNICATE",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
          "index": 2,
          "amount": 71891699,
          "name": "GluonW GAU",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "3bed0b56ed6893a43e353dd333df6f41264293f4a0665a5d01c691f26d30ad80",
      "value": 10000000,
      "index": 0,
      "outputBlockId": "1f85e01bb6ce981e67f980b5b9b1bf8b6714ef35576dec40fb068b405aa88549",
      "outputTransactionId": "09ba3c2c61ceb06bac97edfe6a2f6618231f3524433b250c19c4353e19d4015d",
      "outputIndex": 0,
      "ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
      "address": "PViBL5acX6PqzhnRzKkXN48Rr2SNWspChGAVUHFtGjhNK7dzGm3VeJdkgvzySx5uSWsyekihaxdVpuvhz4MqNZjU8FkwYZUzUC8AL3pFNifisCSrLywNWehhxGz8EJpyuCdtofhUFVw6qNEsvCP2",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05ccbba6aff4d92e",
          "sigmaType": "SLong",
          "renderedValue": "102699696967398"
        },
        "R5": {
          "serializedValue": "049672",
          "sigmaType": "SInt",
          "renderedValue": "7307"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "3dbafcd8ae604ce12b72bd4646be5fc5bebeb1b6129ec228b9c7298ee121d4cb",
      "transactionId": "a0b21b53beb9b73cc0f052347649eec06ed2f85a2e63c268780bcdbc89825f69",
      "blockId": "fc712396835991d391584ac96b4668d4e863953102577c004417d99b493d821a",
      "value": 8027488964000,
      "index": 0,
      "globalIndex": 42083706,
      "creationHeight": 1327908,
      "settlementHeight": 1327910,
      "ergoTree": 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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS(placeholder[Int](0))\n  val coll3 = box2.tokens\n  val tuple4 = coll1(placeholder[Int](1))\n  val tuple5 = coll3(placeholder[Int](2))\n  val tuple6 = coll1(placeholder[Int](3))\n  val tuple7 = coll3(placeholder[Int](4))\n  val tuple8 = SELF.R4[(Long, Long)].get\n  val bool9 = tuple8 == box2.R4[(Long, Long)].get\n  val prop10 = SELF.R5[SigmaProp].get\n  val prop11 = box2.R5[SigmaProp].get\n  val tuple12 = SELF.R6[(Long, Long)].get\n  val l13 = tuple12._2\n  val tuple14 = box2.R6[(Long, Long)].get\n  val l15 = tuple14._2\n  val bool16 = allOf(\n    Coll[Boolean](\n      coll1(placeholder[Int](5))._1 == coll3(\n        placeholder[Int](6)\n      )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n    )\n  )\n  val l17 = tuple4._2\n  val l18 = tuple5._2\n  val bool19 = l17 > l18\n  val l20 = tuple6._2\n  val l21 = tuple7._2\n  val bool22 = l20 > l21\n  val l23 = SELF.value\n  val l24 = box2.value\n  val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n  val bool26 = l17 < l18\n  val bool27 = l20 < l21\n  val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n  val bool29 = l23 == l24\n  val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n  val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n  val l32 = tuple12._1\n  val coll33 = prop10.propBytes\n  val coll34 = SELF.R7[Coll[Long]].get\n  val coll35 = box2.R7[Coll[Long]].get\n  val coll36 = SELF.R8[Coll[Long]].get\n  val coll37 = box2.R8[Coll[Long]].get\n  val l38 = SELF.R9[Long].get\n  val l39 = box2.R9[Long].get\n  if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n    val bi40 = tuple8._1 - l17.toBigInt\n    val bi41 = placeholder[BigInt](7)\n    val bi42 = placeholder[BigInt](8)\n    val bi43 = l23 - placeholder[Long](9).toBigInt\n    val bi44 = tuple8._2 - l20.toBigInt\n    val opt45 = getVar[SigmaProp](0.toByte)\n    val bi46 = min(\n      placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n    )\n    val bi47 = bi41 - bi46\n    val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n    val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n    val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n      if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n    }\n    val bi51 = placeholder[BigInt](13) * bi50 / bi42\n    val bi52 = placeholder[BigInt](14)\n    val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n    val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n    val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n    val coll56 = if (bool31 || bool30) {\n      if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n        Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n      }\n    } else {\n      if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n        Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n      }\n    }\n    val tuple57 = coll56(placeholder[Int](19))\n    val bi58 = tuple57._2\n    val tuple59 = coll56(placeholder[Int](20))\n    val bi60 = tuple59._2\n    val box61 = OUTPUTS(placeholder[Int](21))\n    val coll62 = tuple59._1\n    val bool63 = bi60 > bi52\n    val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n            val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n            allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n          )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n              val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n              allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n            )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n            val coll64 = box61.propositionBytes\n            val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n            allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n          )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n    val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n    val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n    if (bool25) {(\n      val bi67 = l24 - l23.toBigInt\n      val bi68 = bi41 - bi41 / bi42\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n              37\n            ), bool64, bool65\n          )\n        )\n      )\n    )} else { if (bool28) {(\n        val bi67 = l23 - l24.toBigInt\n        val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n        sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n      )} else { if (bool30) {(\n          val l67 = l21 - l20\n          val bi68 = func66(coll37)\n          val bi69 = func66(coll35)\n          val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n          val bool71 = i70 == placeholder[Int](41)\n          val bool72 = i70 > placeholder[Int](42)\n          val i73 = placeholder[Int](43) - i70\n          sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n        )} else { if (bool31) {(\n            val l67 = l18 - l17\n            val bi68 = func66(coll35)\n            val bi69 = func66(coll37)\n            val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n            val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n            val bool72 = i71 == placeholder[Int](76)\n            val bool73 = i71 > placeholder[Int](77)\n            val i74 = placeholder[Int](78) - i71\n            sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n          )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n  )} else {\n    if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n          )\n        )\n      ) && prop10\n    } else { sigmaProp(placeholder[Boolean](110)) }\n  }\n}",
      "address": "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",
      "assets": [
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          "index": 0,
          "amount": 1,
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          "decimals": 0,
          "type": "EIP-004"
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}