Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.26588 ERG
Output transaction:
Settlement height:
Value:
0.107 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.107 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.26388 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.73 KB
Received time: 8/3/2022 04:17:08 PM
Included in blocks: 807,758
Confirmations: 960,350
Total coins transferred: 0.37288 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000717 ERG
Raw Transaction Data
{
  "id": "f988a3783b0780577430bab1a6f3eb3e348700a532f9a0f952568243c807cc19",
  "blockId": "7e79f4764210a4c74895da9d18c9e40e654207691322518d6e34678be08bc6bb",
  "inclusionHeight": 807758,
  "timestamp": 1659543428570,
  "index": 17,
  "globalIndex": 3676747,
  "numConfirmations": 960350,
  "inputs": [
    {
      "boxId": "4f59546d0cfe9176979ca4007c087100f8b63305a2cc656a548ec4b19ef06c1b",
      "value": 265880000,
      "index": 0,
      "spendingProof": "fabe3c380c83a408d1b0704c7840d0c6eaeebcbf5c57a4859f7061e5d3ebf5928ca6da8cb6471dd58dd84bd6544c31e90ffb614f96f93498",
      "outputBlockId": "50453c8665e21e94f5d56aac00c4aa78de34ff269a3fbdcff26659b4b4806c2c",
      "outputTransactionId": "f68fb4fd5ad21c814144fe88bf609f970ad4b8380e7beb3ea6128e75f0711e55",
      "outputIndex": 2,
      "outputGlobalIndex": 19799392,
      "outputCreatedAt": 807715,
      "outputSettledAt": 807717,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "fc5ff430929eaf435fe94783a48fd4d53ece9602db4927264fa604783cb0627e",
      "value": 107000000,
      "index": 1,
      "spendingProof": "3b99bdc7fc366a994f6850fc22055724cb95d4c4be6fadba966c870f705c28f27cbdffa01c230609f832cd99de636a705e87f3f0c061c4f1",
      "outputBlockId": "50453c8665e21e94f5d56aac00c4aa78de34ff269a3fbdcff26659b4b4806c2c",
      "outputTransactionId": "f68fb4fd5ad21c814144fe88bf609f970ad4b8380e7beb3ea6128e75f0711e55",
      "outputIndex": 0,
      "outputGlobalIndex": 19799390,
      "outputCreatedAt": 807715,
      "outputSettledAt": 807717,
      "ergoTree": "108f0104000e203aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a0402058092f401040204000502040801000100040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400040004000402040404060400040204040406050205040400050404000500050001000402040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b0404040005d00f0580897a04020400040005040402040201000100050005000404040205d00f0580897a04000504040004020404040604000500050005000100010001000500050004000504040005040502010005000404040404060500050004000504040204000e2025ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d19010400040004020100010001000504040605d00f0580897a0400040404040404040004000504040005000500010001000100050204080404040005060400050205040400040204040406040205060400050205040400040204040406010001000100050604000500050004000504040205000500040005040100d81fd601b2db6501fe730000d602e4c6a70608d6037301d604e4c672010611d605b27204730200d6069a73037205d607d9010704d801d609b2a57207009593cbc27209e4c67201040ed801d60adb630872099593b1720a7304d801d60bb2720a730500edededededededed938c720b017203928c720b027306e6c67209040e93b1e4c6720905117307e6c672090608e6c672090705e6c672090805e6c67209090592c17209720673087309d608da720701730ad609d0730bd60ac1a7d60bb27204730c00d60ce4c6a70705d60de4c6a70805d60eb2a5730d00d60fdb6308720ed610e4c6a7040ed611e4c6a70511d612b27211730e00d613b27211730f00d614b27211731000d615b27211731100d616e4c6a70905d617c1720ed618d9011804d801d61ae4c6b2a57218000511ededed93b2721a731200721293b2721a731300721393b2721a731400721493b2721a7315007215d619937217720ad61a95ed7208ec93720c731693720c7317ededededededed7219938cb2720f73180002731993e4c6720e040e7210da721801731a93e4c6720e0608720293e4c6720e0705731b93e4c6720e0805731c93e4c6720e09057216731dd61bda720701731ed61c93e4c6720e040e7210d61db2a5731f00d61e93c2721d7209d61fb1a5ea02d1938cb2db63087201732000017321eb02ea027202d1ecececec95edef720891b1a57322d802d620b2a5732300d621a29d9c720a720b732473259593c272207209d801d622db63087220ededededed93b172227326938cb27222732700017203938cb2722273280002732992c17220722193c2b2a5732a00d0720292c1b2a5732b009999720a72217205732c732d95eded720893720c732e93720d732f9591b1a57330d803d620b2a5733100d621c1720ed62299720a72219593c272207209ededededededededed92c17220a29d9ca272227222720b733273339272217206938cb2720f73340002733593e4c6720e040e7210dad9012304d801d625e4c6b2a57223000511ededed93b27225733600721293b27225733700721393b27225733800721493b27225733900721501733a93e4c6720e0608720293e4c6720e0705733b93e4c6720e0805733c93e4c6720e0905721693720d733d733e733f734095eded720893720c734193720d7342ededededededed937217720a938cb2720f73430002734493e4c6720e040e7210da721801734593e4c6720e0608720292e4c6720e0805720693e4c6720e09057216d801d620e4c6720e0705ec9372207346ed937220734790e4c6720e080599720a72067348721a95eded7208ef721b93720c73499591721f734a95721eededededededededededed7219721c93b2e4c6720e0511734b00721493b2e4c6720e0511734c00721593e4c6720e0608720293e4c6720e0705734d93e4c6720e0805734e93e4c6720e09057216938cb2720f734f0002735093b1db6308721d7351938cb2db6308721d735200017353d801d620e4c6720e0511928cb2db6308721d73540002999ab27220735500b272207356009a72127213735773587359d1ecec95eded720893720c735aef721a9591721f735b95721eededededededededededed92c1721da29d9c720d720b735c735d93b1db6308721d735e93c2b2a5735f00d0720292c1b2a5736000720d93b1db6308b2a573610073627219938cb2720f736300027364721cda721801736593e4c6720e0705736693e4c6720e0805736793e4c6720e0905721673687369736a95eded7208721b93720c736b9592721f736cd801d620b2a5736d009593cbc27220e4c67201050eecededededededededededededed721cda721801736e93e4c6720e0608720293e4c6720e0705736f93e4c6720e0805720d93e4c6720e09057216938cb2720f73700002737192c17220999c7372720d720593e4c672200408720293e4c672200505721693b2e4c672200611737300721293b2e4c672200611737400721393b2e4c672200611737500721493b2e4c6722006117376007215ededededededededededededed93e4c6721d040e7210da721801737793e4c6721d0608720293e4c6721d0705737893e4c6721d0805720d93e4c6721d09057216938cb2db6308721d73790002737a92c17220999c737b720d720593e4c672200708720293e4c672200805721693b2e4c672200911737c00721293b2e4c672200911737d00721393b2e4c672200911737e00721493b2e4c672200911737f00721573800173810173820195eded7208721b93720c738301ecedededededed721cda72180173840193e4c6720e0608720293e4c6720e070573850193e4c6720e080573860193e4c6720e09057216938cb2720f7387010002738801edededededed93e4c6721d040e7210da72180173890193e4c6721d0608720293e4c6721d0705738a0193e4c6721d0805738b0193e4c6721d09057216938cb2db6308721d738c010002738d01738e01",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 0\n136: 2\n137: 1\n138: 0\n139: 0\n140: 0\n141: 2\n142: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            (((bool28 && func24(placeholder[Int](132))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](133))) && (\n              box14.R8[Long].get == placeholder[Long](134)\n            )\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](135))._2 == placeholder[Long](136))\n      ) || (\n        (\n          (\n            (\n              (((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](137))) && (box29.R6[SigmaProp].get == prop2)) && (\n                box29.R7[Long].get == placeholder[Long](138)\n              )\n            ) && (box29.R8[Long].get == placeholder[Long](139))\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n      )\n    } else { placeholder[Boolean](142) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R4": {
          "serializedValue": "0e684a6f686e20446f653a6234356265353a6637636464323a343a313a4d3137312e352c313731513132352c3231372c38332c3137315134312c3132352c38332c38322e35513132352c34302c3137312e352c38322e35513231382c3132352c3137312e352c3137315a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4a6f686e20446f653a6234356265353a6637636464323a343a313a4d3137312e352c313731513132352c3231372c38332c3137315134312c3132352c38332c38322e35513132352c34302c3137312e352c38322e35513231382c3132352c3137312e352c3137315a"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "05acbe5801d6ca65c2410c9e046354c0347b3850050c5a04b984ffb38112ab49",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "faa25827322a2dcbc98d407d0031e54e153c904216e169daf081b9fd42197131",
      "outputTransactionId": "0ae7f245e11cb8c973bd5c60f9c03d5878e4078db00c221b943edf3c586d04c1",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205d7b13e241e56cbde9d5afd954467930aeca28211a53f5f621ff2b526efe56ca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5d7b13e241e56cbde9d5afd954467930aeca28211a53f5f621ff2b526efe56ca"
        },
        "R5": {
          "serializedValue": "0e20239ed567bddee50ff5e68ba0da8ab21dc95666c7db23a74bcb02a1dfb0bb5fb3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "239ed567bddee50ff5e68ba0da8ab21dc95666c7db23a74bcb02a1dfb0bb5fb3"
        },
        "R6": {
          "serializedValue": "1105148092f4018092f4018092f4018092f401",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,2000000,2000000,2000000,2000000]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "60622e33bba0d1b57c3960992bb15f9277a5cca1c005d4c192a5a0f048703c3c",
      "transactionId": "f988a3783b0780577430bab1a6f3eb3e348700a532f9a0f952568243c807cc19",
      "blockId": "7e79f4764210a4c74895da9d18c9e40e654207691322518d6e34678be08bc6bb",
      "value": 107000000,
      "index": 0,
      "globalIndex": 19801430,
      "creationHeight": 807754,
      "settlementHeight": 807758,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 0\n136: 2\n137: 1\n138: 0\n139: 0\n140: 0\n141: 2\n142: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            (((bool28 && func24(placeholder[Int](132))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](133))) && (\n              box14.R8[Long].get == placeholder[Long](134)\n            )\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](135))._2 == placeholder[Long](136))\n      ) || (\n        (\n          (\n            (\n              (((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](137))) && (box29.R6[SigmaProp].get == prop2)) && (\n                box29.R7[Long].get == placeholder[Long](138)\n              )\n            ) && (box29.R8[Long].get == placeholder[Long](139))\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n      )\n    } else { placeholder[Boolean](142) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R9": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R4": {
          "serializedValue": "0e684a6f686e20446f653a6234356265353a6637636464323a343a313a4d3137312e352c313731513132352c3231372c38332c3137315134312c3132352c38332c38322e35513132352c34302c3137312e352c38322e35513231382c3132352c3137312e352c3137315a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4a6f686e20446f653a6234356265353a6637636464323a343a313a4d3137312e352c313731513132352c3231372c38332c3137315134312c3132352c38332c38322e35513132352c34302c3137312e352c38322e35513231382c3132352c3137312e352c3137315a"
        }
      },
      "spentTransactionId": "f90defeea55194574f79ba6916c563122b5db125222e0e0b6805d24cb70adb57",
      "mainChain": true
    },
    {
      "boxId": "9befc14772e6e3c21494fd339c9adb7997f22f476e952b5fbe3bcb050be251c3",
      "transactionId": "f988a3783b0780577430bab1a6f3eb3e348700a532f9a0f952568243c807cc19",
      "blockId": "7e79f4764210a4c74895da9d18c9e40e654207691322518d6e34678be08bc6bb",
      "value": 263880000,
      "index": 1,
      "globalIndex": 19801431,
      "creationHeight": 807754,
      "settlementHeight": 807758,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "311ca3cdcffdfe3d1181a5f9e9b3ec337e953f885aa9af658c75d761ebab96d9",
      "mainChain": true
    },
    {
      "boxId": "6d8021b0f82f57308613760bf2c547419d8015034e7bc50e2c5a1ac47c480eaf",
      "transactionId": "f988a3783b0780577430bab1a6f3eb3e348700a532f9a0f952568243c807cc19",
      "blockId": "7e79f4764210a4c74895da9d18c9e40e654207691322518d6e34678be08bc6bb",
      "value": 2000000,
      "index": 2,
      "globalIndex": 19801432,
      "creationHeight": 807754,
      "settlementHeight": 807758,
      "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": "d2346151f4e39ddf95d9da82d7c0e86f71ece36d5491ba1a3b787b5a8f9c21ae",
      "mainChain": true
    }
  ],
  "size": 2791,
  "isUnconfirmed": false
}