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Transaction

11/1/2022 03:00:52 AM
ID: 32726e6b2c...9b1e
Inputs (3)
#0
c03e63a05bbf...439a
Spent
Address:
z7cSvu92xkgU...H2fd
Output transaction:
28d947d5e5d5...b0a4
Settlement height:
865,088
Value:
0.7295 ERG
Tokens:
Loading assets...
#1
ee6b43632711...f132
Spent
Address:
z7cSvu92xkgU...H2fd
Output transaction:
28d947d5e5d5...b0a4
Settlement height:
865,088
Value:
1.08 ERG
Tokens:
Loading assets...
#2
53d97e0458a5...8aaa
Spent
Address:
43wTpd7KMask...4tPm
Output transaction:
28d947d5e5d5...b0a4
Settlement height:
865,088
Value:
0.1989 ERG
Tokens:
Loading assets...
Outputs (6)
#0
f0d498bae6bf...2aa2
Spent
Address:
z7cSvu92xkgU...H2fd
Spent in transaction:
f26409423d15...c1ab
Settlement height:
865,090
Value:
0.9193 ERG
Tokens:
Loading assets...
#1
4954bbe980b3...63a4
Spent
Address:
z7cSvu92xkgU...H2fd
Spent in transaction:
1b7a5b6e2212...d154
Settlement height:
865,090
Value:
1.08 ERG
Tokens:
Loading assets...
#2
e05d029facd3...e929
Spent
Address:
9eYtuDups24X...Gish
Spent in transaction:
f26409423d15...c1ab
Settlement height:
865,090
Value:
0.001 ERG
Tokens:
Loading assets...
#3
b1b34e97a8d7...d5ce
Spent
Address:
9eYtuDups24X...Gish
Spent in transaction:
f26409423d15...c1ab
Settlement height:
865,090
Value:
0.001 ERG
Tokens:
Loading assets...
#4
e56c55e0d084...b1c2
Spent
Address:
2VYtbVk8fYMm...gtZt
Spent in transaction:
668cba3257f0...c70e
Settlement height:
865,090
Value:
0.006 ERG
#5
4ea16607f8ed...0605
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
8f2393da143b...cae2
Settlement height:
865,090
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 5.18 KB
Received time: 11/1/2022 03:00:52 AM
Included in blocks: 865,090
Confirmations: 893,386
Total coins transferred: 2.01 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000207 ERG
Raw Transaction Data
{
  "id": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
  "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
  "inclusionHeight": 865090,
  "timestamp": 1667271652533,
  "index": 10,
  "globalIndex": 4254696,
  "numConfirmations": 893386,
  "inputs": [
    {
      "boxId": "c03e63a05bbf02c29fc64b098cfb648048cf7e626e218c81dce64d73b9c3439a",
      "value": 729500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "33aae9dda1458d442d1170c2bc2ff0f52032f7ef43659e335654bb2df683ba69",
      "outputTransactionId": "28d947d5e5d5f74abbd4bc31f43e78ebec5d5308ba63f253ccf2ea95f3d0b0a4",
      "outputIndex": 0,
      "outputGlobalIndex": 23166310,
      "outputCreatedAt": 865086,
      "outputSettledAt": 865088,
      "ergoTree": "1089010400040004000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f40104020400010004060400040208cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400050401000402040001000408040a040c04000402040004000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec705d00f0580897a0400050401000100050005d00f0580897a05000100010005000508040204020e20ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8041005040502058084af5f010001000506050a0402050001000500040404040404040604060500040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f0408040a040c04000402040204080402040a040c04000406040204020408040a0400040c040004000400040c04020400040201000100010005040406050405d00f0580897a04040404050405000100010001000502040804040402040404040100010001000506050005000400050401000508050a04040402040a05020508050a0502050a050005040100d828d601b2db6501fe730000d602e4c6a70608d603b2a5730100d604cbc27203d605e4c67201041ad606b27205730200d6077303d608e4c672010511d609b27208730400d60a9a73057209d60b959372047206d801d60bdb63087203eded92b1720b7306938cb2720b73070001720792c17203720a7308d60cb27205730900d60dc1a7d60eb27208730a00d60fdb63087203d610b2a5730b00d611c27210d612e4c6a70705d613d0730cd614e4c6a70905d615e4c6a7040ed61695720bededed93e4c6720309057214938cb2720f730d0002730e93e4c67203040e721593e4c6720306087202730fd617e4c6a70510d618c17203d619b1720fd61a937218720dd61be4c672030705d61ccb7211d61d9593721c7206d801d61ddb63087210eded92b1721d7310938cb2721d73110001720792c17210720a7312d61eb1a5d61fdb63087210d620b27217731300d621b27217731400d622b27217731500d623b27217731600d624b27217731700d625e4c672010711d626e4c6a70805d6278cb2720f73180002d62893e4c6720309057214ea02d1938cb2db6308720173190001731aeb02ea027202d1ecececec95ef720bd801d629a29d9c720d720e731b731c95937204720cd801d62ab2720f731d00edededed938c722a017207938c722a02731e92c172037229937211d0720292c172109999720d72297209731f732095ed720b9372127321d801d62999720dc17203959372117213ededed92c17210a29d9ca272297229720e73227323721693e4c672030510721793e4c67203070573247325732695ed720b937212732795eded937218720d721693e4c6720305107217d801d629e4c67203070595ed93722973289172197329d801d62ab2720f732a00ed938c722a01732b938c722a02b27208732c00ec937229732deded937229732e90e4c67203080599720d720a92e4c672030805732f7330733195eded720b94721273329472127333edededed721a721693e4c6720305107217937219733493721b7335733695eded720bef721d93721273379591721e73389593721c720cededededededed721a721693b2e4c672030510733900b27217733a0093b2e4c672030510733b00b27217733c0093721b733d93b1721f733e938cb2721f733f00017340d802d629e4c672030510d62ab27229734100ececededededed90722a734290b27229734300734493b27229734500722093b27229734600722193b272297347007222928cb2721f734800027e999a722ab272297349009a7223722405ededededed93722a722393b27229734a00722493b27229734b009a7220734c93b27229734d00722193b27229734e007222928cb2721f734f0002b2e4c6720106119c73509a7220735100ededed93722a722393b27229735200722493b272297353007220d801d62bb27229735400ecededed91722b735594722b722193b272297356007357928cb2721f73580002b27225735900eded93722b722193b27229735a009a7222735b928cb2721f735c0002b272259a7222735d00735e735f7360d1ececec95ed720b93721273619591721e7362959372117213edededededededed92c17210a29d9c9c72267363720e7364736593c2b2a5736600d0720292c1b2a57367007226721a937227736893e4c67203040e721593e4c672030510721793721b73697228736a736b736c95eded720b721d937212736d9592721e736e9593cbc2b2a5736f00b2720573700093cbc2b2a4737100b2720573720073737374737595eded720b721d9372127376eced721693721b7377edededed93e4c67210040e721593e4c672100608720293e4c672100705737893e4c6721009057214938cb2721f73790002737a737b95eded720bec937212737c937212737d93b1a4737eedededededed93cbc2b2a4737f00b2720573800100722892722773810193e4c67203040e721593e4c672030510721793e4c6720306087202eceded93721273820193721b738301937227738401eded93721273850193721b738601937227738701738801",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1007160c220c000602",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[11,6,17,6,0,3,1]"
        },
        "R6": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "057e",
          "sigmaType": "SLong",
          "renderedValue": "63"
        },
        "R4": {
          "serializedValue": "0ef6014c656d6f6e3a6335623261633a3462613130393a333a343a4d3232372c313437513230392c3136392c3139322e352c3138332e35513137362c3139382c3135362c3230382e35513133362c3231392c3131342e352c3231345139332c3230392c36332e352c3230375133342c3230352c33332e352c3137362e355133332c3134382c33342c3132352e355133352c3130332c34352e352c38332e355135362c36342c37322c34352e355138382c32372c3131332e352c31372e35513133392c382c3136312c32342e35513138332c34312c3230372c3535513233312c36392c3233382c3937513234352c3132352c3232372c3134375a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4c656d6f6e3a6335623261633a3462613130393a333a343a4d3232372c313437513230392c3136392c3139322e352c3138332e35513137362c3139382c3135362c3230382e35513133362c3231392c3131342e352c3231345139332c3230392c36332e352c3230375133342c3230352c33332e352c3137362e355133332c3134382c33342c3132352e355133352c3130332c34352e352c38332e355135362c36342c37322c34352e355138382c32372c3131332e352c31372e35513133392c382c3136312c32342e35513138332c34312c3230372c3535513233312c36392c3233382c3937513234352c3132352c3232372c3134375a"
        }
      }
    },
    {
      "boxId": "ee6b436327110f29003b34623bcb2763e28216f9a9b51f3c326fed8812a3f132",
      "value": 1077100000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "33aae9dda1458d442d1170c2bc2ff0f52032f7ef43659e335654bb2df683ba69",
      "outputTransactionId": "28d947d5e5d5f74abbd4bc31f43e78ebec5d5308ba63f253ccf2ea95f3d0b0a4",
      "outputIndex": 1,
      "outputGlobalIndex": 23166311,
      "outputCreatedAt": 865086,
      "outputSettledAt": 865088,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "10071a1a2216020202",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[13,13,17,11,1,1,1]"
        },
        "R6": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "057c",
          "sigmaType": "SLong",
          "renderedValue": "62"
        },
        "R4": {
          "serializedValue": "0ee0015a6c7572673a3738616436343a3666643964383a353a313a4d3231392e352c3135322e35513231312c3138302c3138302e352c3138302e35513135302c3138312c3132392e352c3230392e35513130392c3233382c39372c3230342e355138352c3137312c35342e352c3136335132342c3135352c34332e352c3133315136332c3130372c36342e352c38325136362c35372c38392e352c34392e35513131332c34322c3133322c3535513135312c36382c3136342e352c37392e35513137382c39312c3230332c313038513232382c3132352c3231392e352c3135322e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5a6c7572673a3738616436343a3666643964383a353a313a4d3231392e352c3135322e35513231312c3138302c3138302e352c3138302e35513135302c3138312c3132392e352c3230392e35513130392c3233382c39372c3230342e355138352c3137312c35342e352c3136335132342c3135352c34332e352c3133315136332c3130372c36342e352c38325136362c35372c38392e352c34392e35513131332c34322c3133322c3535513135312c36382c3136342e352c37392e35513137382c39312c3230332c313038513232382c3132352c3231392e352c3135322e355a"
        }
      }
    },
    {
      "boxId": "53d97e0458a5d748061d8f44dfd04839fc6c05e3699821cb21e24f73df8c8aaa",
      "value": 198900000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "33aae9dda1458d442d1170c2bc2ff0f52032f7ef43659e335654bb2df683ba69",
      "outputTransactionId": "28d947d5e5d5f74abbd4bc31f43e78ebec5d5308ba63f253ccf2ea95f3d0b0a4",
      "outputIndex": 2,
      "outputGlobalIndex": 23166312,
      "outputCreatedAt": 865086,
      "outputSettledAt": 865088,
      "ergoTree": "10800104000400040004020400040204060601ff0402040404080406040a04000402040c0404041004020404040a040a0404040204080402040404080406040a0400040c0404041004020404040a040a04040402040004060400040c04040408040204000406040c0404040804020406040a0400040205040504040c05d00f0580897a040204080e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc990e20ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad80406040404000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec70500050001000500050001000504058092f4010504058092f401040404040400040204020502040004000100040604040400040204020502040004000100040004020408040a040c04040402040604020404040204060100040004020408040a040c040404020406040204040402040601000408040804000100d83bd601b2db6501fe730000d602b2a5730100d603e4c67201041ad604b27203730200d605e4c6a70408d606b2a5730300d607e4c6a70708d608db6801b2db6502fe730400d6097bb4720873057306d60a7307d60be4c6a70910d60cb2720b730800d60db2720b730900d60ee4c672010611d60fb2720b730a00d6109c730b720fd611b2720b730c00d612937211730dd613e4c672010810d614b27213730e00d615b2720b730f00d6169a9a73109c731199721173129c73137215d6179a9a7e9a9c7314720c9c7315720d05b2720e9a72107316007e9572127214b272139a721673170005d618e4c672010511d619b27218731800d61ae4c6a70610d61bb2721a731900d61cb2721a731a00d61db2721a731b00d61e9c731c721dd61fb2721a731d00d62093721f731ed621b2721a731f00d6229a9a73209c732199721f73229c73237221d6239a9a7e9a9c7324721b9c7325721c05b2720e9a721e7326007e9572207214b272139a722273270005d624b2720b732800d625b2720b732900d626b27213732a00d6279a9a7e9a9a9c732b72249c732c720d9c732d722505b2720e9a7210732e007e9572127226b2721372160005d628b2721a732f00d629b2721a733000d62a9a9a7e9a9a9c733172289c7332721c9c7333722905b2720e9a721e7334007e9572207226b2721372220005d62b9aa2a272099c720a72097ea19a721772197223067ea19a72277219722a06d62c7bb4720873357336d62d9aa2a2722c9c720a722c7ea19a722372197217067ea19a722a7219722706d62e91722b722dd62fc1b2a4733700d630b27218733800d6319c73399d9ac1a77230733ad632a29d9c7231b27218733b00733c733dd633c1b2a4733e00d63490722b722dd63591b1a5733fd6367340d6377341d638b27218734200d639b27218734300d63ac672020510d63bc672060510d196830a01938cb2db630872017344000173459593cbc272027204ededed93e4c672020608720593e4c672020705734693e4c672020805734793e4c672020905e4c6a7050573489593cbc272067204ededed93e4c672060608720793e4c672060705734993e4c672060805734a93e4c672060905e4c6a70805734bef938cc7a7018cc772020197830201eded722e93c172029999999a722f72319c734c7230734d723293c172067233eded723493c17202722f93c172069999999a723372319c734e7230734f7232957235d801d63cb2a5735000ededededed93c2723cd0720593b1db6308723c7351938cb2db6308723c735200017236938cb2db6308723c735300017237938cb2db6308723c735400027355eced722e938cb2db6308723c735600027238ed7234938cb2db6308723c7357000272397358957235d801d63cb2a5735900ededededed93c2723cd0720793b1db6308723c735a938cb2db6308723c735b00017236938cb2db6308723c735c00017237938cb2db6308723c735d0002735eeced722e938cb2db6308723c735f00027239ed7234938cb2db6308723c736000027238736195e6723ad801d63ce4723aededededed93b2723c736200722893b2723c736300721b93b2723c736400721d93b2723c736500721f93b2723c7366007221eceded722e93b2723c7367009a721c736893b2723c7369009a7229736aeded723493b2723c736b009a721c736c93b2723c736d007229736e95e6723bd801d63ce4723bededededed93b2723c736f00722493b2723c737000720c93b2723c737100720f93b2723c737200721193b2723c7373007215eceded723493b2723c7374009a720d737593b2723c7376009a72257377eded722e93b2723c7378009a720d737993b2723c737a007225737b957235d801d63cb2a5737c00eded93cbc2723cb27203737d0092c1723c723293b1db6308723c737e737f",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 0\n5: 1\n6: 3\n7: CBigInt(-1)\n8: 1\n9: 2\n10: 4\n11: 3\n12: 5\n13: 0\n14: 1\n15: 6\n16: 2\n17: 8\n18: 1\n19: 2\n20: 5\n21: 5\n22: 2\n23: 1\n24: 4\n25: 1\n26: 2\n27: 4\n28: 3\n29: 5\n30: 0\n31: 6\n32: 2\n33: 8\n34: 1\n35: 2\n36: 5\n37: 5\n38: 2\n39: 1\n40: 0\n41: 3\n42: 0\n43: 6\n44: 2\n45: 4\n46: 1\n47: 0\n48: 3\n49: 6\n50: 2\n51: 4\n52: 1\n53: 3\n54: 5\n55: 0\n56: 1\n57: 2\n58: 2\n59: 6\n60: 1000\n61: 1000000\n62: 1\n63: 4\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n66: 3\n67: 2\n68: 0\n69: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n70: 0\n71: 0\n72: false\n73: 0\n74: 0\n75: false\n76: 2\n77: 2000000\n78: 2\n79: 2000000\n80: 2\n81: 2\n82: 0\n83: 1\n84: 1\n85: 1\n86: 0\n87: 0\n88: false\n89: 3\n90: 2\n91: 0\n92: 1\n93: 1\n94: 1\n95: 0\n96: 0\n97: false\n98: 0\n99: 1\n100: 4\n101: 5\n102: 6\n103: 2\n104: 1\n105: 3\n106: 1\n107: 2\n108: 1\n109: 3\n110: false\n111: 0\n112: 1\n113: 4\n114: 5\n115: 6\n116: 2\n117: 1\n118: 3\n119: 1\n120: 2\n121: 1\n122: 3\n123: false\n124: 4\n125: 4\n126: 0\n127: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box2 = OUTPUTS(placeholder[Int](1))\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = coll3(placeholder[Int](2))\n  val prop5 = SELF.R4[SigmaProp].get\n  val box6 = OUTPUTS(placeholder[Int](3))\n  val prop7 = SELF.R7[SigmaProp].get\n  val coll8 = CONTEXT.headers(placeholder[Int](4)).id\n  val bi9 = byteArrayToBigInt(coll8.slice(placeholder[Int](5), placeholder[Int](6)))\n  val bi10 = placeholder[BigInt](7)\n  val coll11 = SELF.R9[Coll[Int]].get\n  val i12 = coll11(placeholder[Int](8))\n  val i13 = coll11(placeholder[Int](9))\n  val coll14 = box1.R6[Coll[Long]].get\n  val i15 = coll11(placeholder[Int](10))\n  val i16 = placeholder[Int](11) * i15\n  val i17 = coll11(placeholder[Int](12))\n  val bool18 = i17 == placeholder[Int](13)\n  val coll19 = box1.R8[Coll[Int]].get\n  val i20 = coll19(placeholder[Int](14))\n  val i21 = coll11(placeholder[Int](15))\n  val i22 = placeholder[Int](16) + placeholder[Int](17) * i17 - placeholder[Int](18) + placeholder[Int](19) * i21\n  val l23 = placeholder[Int](20) * i12 + placeholder[Int](21) * i13.toLong + coll14(i16 + placeholder[Int](22)) + if (bool18) { i20 } else {\n    coll19(i22 + placeholder[Int](23))\n  }.toLong\n  val coll24 = box1.R5[Coll[Long]].get\n  val l25 = coll24(placeholder[Int](24))\n  val coll26 = SELF.R6[Coll[Int]].get\n  val i27 = coll26(placeholder[Int](25))\n  val i28 = coll26(placeholder[Int](26))\n  val i29 = coll26(placeholder[Int](27))\n  val i30 = placeholder[Int](28) * i29\n  val i31 = coll26(placeholder[Int](29))\n  val bool32 = i31 == placeholder[Int](30)\n  val i33 = coll26(placeholder[Int](31))\n  val i34 = placeholder[Int](32) + placeholder[Int](33) * i31 - placeholder[Int](34) + placeholder[Int](35) * i33\n  val l35 = placeholder[Int](36) * i27 + placeholder[Int](37) * i28.toLong + coll14(i30 + placeholder[Int](38)) + if (bool32) { i20 } else {\n    coll19(i34 + placeholder[Int](39))\n  }.toLong\n  val i36 = coll11(placeholder[Int](40))\n  val i37 = coll11(placeholder[Int](41))\n  val i38 = coll19(placeholder[Int](42))\n  val l39 = placeholder[Int](43) * i36 + placeholder[Int](44) * i13 + placeholder[Int](45) * i37.toLong + coll14(i16 + placeholder[Int](46)) + if (bool18) {\n    i38\n  } else { coll19(i22) }.toLong\n  val i40 = coll26(placeholder[Int](47))\n  val i41 = coll26(placeholder[Int](48))\n  val l42 = placeholder[Int](49) * i40 + placeholder[Int](50) * i28 + placeholder[Int](51) * i41.toLong + coll14(i30 + placeholder[Int](52)) + if (bool32) {\n    i38\n  } else { coll19(i34) }.toLong\n  val bi43 = max(max(bi9, bi10 * bi9), min(l23 + l25, l35).toBigInt) + min(l39 + l25, l42).toBigInt\n  val bi44 = byteArrayToBigInt(coll8.slice(placeholder[Int](53), placeholder[Int](54)))\n  val bi45 = max(max(bi44, bi10 * bi44), min(l35 + l25, l23).toBigInt) + min(l42 + l25, l39).toBigInt\n  val bool46 = bi43 > bi45\n  val l47 = INPUTS(placeholder[Int](55)).value\n  val l48 = coll24(placeholder[Int](56))\n  val l49 = placeholder[Long](57) * SELF.value + l48 / placeholder[Long](58)\n  val l50 = max(l49 * coll24(placeholder[Int](59)) / placeholder[Long](60), placeholder[Long](61))\n  val l51 = INPUTS(placeholder[Int](62)).value\n  val bool52 = bi43 <= bi45\n  val bool53 = OUTPUTS.size > placeholder[Int](63)\n  val coll54 = placeholder[Coll[Byte]](64)\n  val coll55 = placeholder[Coll[Byte]](65)\n  val l56 = coll24(placeholder[Int](66))\n  val l57 = coll24(placeholder[Int](67))\n  val opt58 = box2.R5[Coll[Int]]\n  val opt59 = box6.R5[Coll[Int]]\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](68))._1 == placeholder[Coll[Byte]](69), if (blake2b256(box2.propositionBytes) == coll4) {\n          (((box2.R6[SigmaProp].get == prop5) && (box2.R7[Long].get == placeholder[Long](70))) && (box2.R8[Long].get == placeholder[Long](71))) && (\n            box2.R9[Long].get == SELF.R5[Long].get\n          )\n        } else { placeholder[Boolean](72) }, if (blake2b256(box6.propositionBytes) == coll4) {\n          (((box6.R6[SigmaProp].get == prop7) && (box6.R7[Long].get == placeholder[Long](73))) && (box6.R8[Long].get == placeholder[Long](74))) && (\n            box6.R9[Long].get == SELF.R8[Long].get\n          )\n        } else { placeholder[Boolean](75) }, !(SELF.creationInfo._1 == box2.creationInfo._1), anyOf(\n          Coll[Boolean](\n            (bool46 && (box2.value == l47 + l49 - placeholder[Long](76) * l48 - placeholder[Long](77) - l50)) && (box6.value == l51), (\n              bool52 && (box2.value == l47)\n            ) && (box6.value == l51 + l49 - placeholder[Long](78) * l48 - placeholder[Long](79) - l50)\n          )\n        ), if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](80))\n          (\n            (\n              (\n                ((box60.propositionBytes == prop5.propBytes) && (box60.tokens.size == placeholder[Int](81))) && (\n                  box60.tokens(placeholder[Int](82))._1 == coll54\n                )\n              ) && (box60.tokens(placeholder[Int](83))._1 == coll55)\n            ) && (box60.tokens(placeholder[Int](84))._2 == placeholder[Long](85))\n          ) && ((bool46 && (box60.tokens(placeholder[Int](86))._2 == l56)) || (bool52 && (box60.tokens(placeholder[Int](87))._2 == l57)))\n        )} else { placeholder[Boolean](88) }, if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](89))\n          (\n            (\n              (\n                ((box60.propositionBytes == prop7.propBytes) && (box60.tokens.size == placeholder[Int](90))) && (\n                  box60.tokens(placeholder[Int](91))._1 == coll54\n                )\n              ) && (box60.tokens(placeholder[Int](92))._1 == coll55)\n            ) && (box60.tokens(placeholder[Int](93))._2 == placeholder[Long](94))\n          ) && ((bool46 && (box60.tokens(placeholder[Int](95))._2 == l57)) || (bool52 && (box60.tokens(placeholder[Int](96))._2 == l56)))\n        )} else { placeholder[Boolean](97) }, if (opt58.isDefined) {(\n          val coll60 = opt58.get\n          (\n            (\n              (((coll60(placeholder[Int](98)) == i40) && (coll60(placeholder[Int](99)) == i27)) && (coll60(placeholder[Int](100)) == i29)) && (\n                coll60(placeholder[Int](101)) == i31\n              )\n            ) && (coll60(placeholder[Int](102)) == i33)\n          ) && (\n            ((bool46 && (coll60(placeholder[Int](103)) == i28 + placeholder[Int](104))) && (coll60(placeholder[Int](105)) == i41 + placeholder[Int](106))) || (\n              (bool52 && (coll60(placeholder[Int](107)) == i28 + placeholder[Int](108))) && (coll60(placeholder[Int](109)) == i41)\n            )\n          )\n        )} else { placeholder[Boolean](110) }, if (opt59.isDefined) {(\n          val coll60 = opt59.get\n          (\n            (\n              (((coll60(placeholder[Int](111)) == i36) && (coll60(placeholder[Int](112)) == i12)) && (coll60(placeholder[Int](113)) == i15)) && (\n                coll60(placeholder[Int](114)) == i17\n              )\n            ) && (coll60(placeholder[Int](115)) == i21)\n          ) && (\n            ((bool52 && (coll60(placeholder[Int](116)) == i13 + placeholder[Int](117))) && (coll60(placeholder[Int](118)) == i37 + placeholder[Int](119))) || (\n              (bool46 && (coll60(placeholder[Int](120)) == i13 + placeholder[Int](121))) && (coll60(placeholder[Int](122)) == i37)\n            )\n          )\n        )} else { placeholder[Boolean](123) }, if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](124))\n          ((blake2b256(box60.propositionBytes) == coll3(placeholder[Int](125))) && (box60.value >= l50)) && (box60.tokens.size == placeholder[Int](126))\n        )} else { placeholder[Boolean](127) }\n      )\n    )\n  )\n}",
      "address": "43wTpd7KMaskVzayXp3iFKL3HELSXxPZuEetxzjuV47SBfBWGsHDBjMdXt7D8PvEZ1xA3QTqdWma4ztyBREtwnM9356DCLsuMkxeEbzenASGgHgDHyqM2DqzCPjsE3JTpfVy8pPSXjhRN6waG6UJsK843gxpTo7ienqvSwo3JVQovoY1HCU8GhGNpWnR8Lu1Ri6JWQA8SczjpqGisdANX57HtfNVTLLXQcqeKbFFjNtNr9VpZsNjYHQgDBJBUcECT1KTtJ6USrZuaW7WLXYdMD5hpDim36kUqkJkt5pyNxTdQC2Ym4UgfFGC6GPt1LwAgVeL7W6PGA3XGhJjEkcdcmV2KfyHfpZMNMXTGt3ypoJd44kZLTDxjhEWYWH1NGyaR6aJiVAfSsrjRQqTQtDhELzRkHJi3zaBFtqvEYSuV2gvjCNLKn2JUXruPKJgMDZR2UAGXbjvPjCJWTC8YHRUxL7XTVqFQtN8dnVeW5KSU7aF5AngNBYzX8Fp2JbMDQ9XeCaXiBN27c6BJweGP65F53Wss9zusLkQSAcNmkPMMjbz8Ysb7Rc7NfESxsviy3FMCyeFyA6tQeKAfqUm2d4iaZG86s54x44pK7r3iQ89c9DGB2AHKjaT912tS71X1Pq7ntefhHfk4j6QNBhP17N1GwTyoLDGvuNMChaQTsPVshJHdw8XKAqzzo5dDLPhNVBr2dbzcn3Pd9QvrWRhjr4fKASqRkJR3rVdSQzz2pgUDcWroRjaPeQVzkrhA9gorry4M93xU847PQGkUja8Tqrm85S9gDRF7S2Fgs9qu4uqvniNjaNGbJyyRX1UAJ22aC7ZWevNq3ZkJscKJQRLc9QrEYBSa4EHGzAxy3pb2q8j9b5H2vXHsoDtwuig9Jwvbg1NoAAnAP6j9dQaXchx5LyG3mrBsmgGwEiQYsYS9Fk87vin9kqh8s8dy8RsPrsfbnB2QzNpfFS3q8WttD7nMrfNtwYQtHw1S7PEYM3vtw5N5SYjdpoWHzvQMa9iyLtLdEA9yJiM9CfcjpQeUPRPAtR4gisVZfmQTdQPsvjZADmAt6y5MCQhMdj4cGj4XiSND8VZpZVssdAA231iCAnWhp5APeyuB6AbDQJBsfx7JikAk2C5inABpZhCYtsbvNdyArrETgx3wJqkRkqEubfQDE4aN6nDMC7DU8HnAGR1rUgtDYniw68Q5xVgYpUZAk9UvfiMqx52KbhzngU3o4W8bMzQMmsvqjbMjNgSC6GFeJMg2H5toMfrjQ2zSmkLJaR5sz6j2XnSnweCKZEyqpNad9fMwvSnraM8hkrFpw3ivjsrG4hMDQHes7ZS4jMibrSdiJtxSKARi2AwWK8thh7UCCmK5E3D4KzgYTKdcBt7vkXMxGcAv2kvB3wKn41G8vTZtMQAx8HCEK25UxdFTtuzcsXKuzefsiwTRKWgiwrwUctko7yH35dPcVhvNsPp3wbj4beJVZj5aBFZQcHCoJvFGjP2pQsgHSX1NRvmX4LRfM4Yn4SELPmoh3ftZaWrYPBt39X6ka85g6dkHz7uFje3XvRZR5biy7PbexqyaDUgUu5F6Er7skpCjCPgd2j4reuzTq97aKJfi9L8fdPAbHbWPa48pXPZiVJqhPBJpN6mYsYKb58EN3PVXtRs5FxV6YAENniFJSC7S3YbuKD3HNXcsaAE71iM7GsSsPHm7FuNuWp3QYYHMBeg9o7UVtLvS4S4EJbAHMTsiYA2H5fLT22GSWHmnyaHpFkRBBgJWafggvM9nHfHWDBakJbnKESdJMN5pvDSZ9ERfssfHXWBMHRHu2vccD8qjmGpd9zFPusSkuKjzr27wPjDhyNY2s6SgP7FqCvvYRgge5Sism5PWYCG6fUkhLZS5qi1rJLyHeMGQr748LiyquTrQuK7Gcwfcvu8vQzWkxganYN1tbLxKTgNMunYxDQNr8o5S9Nj5rYHBfxKyEmPdCqQ9GMjP9VNB584rvNFzndwXXJq77wsUxLRzgXj2d76pwbmy7sfDoJxs7AJy9yWXrJjQzLBwkwaQTkY9qHFne4mtwpsvU8hrJ59X6cx4PCNp1AKLeFbgeVbLydAjxT4E6bL17ThCvQFzY3FvhM63B2KqGT78RxFXmwhNYK3sq6sWXY5xv3FpaBRspVJNxgWSfzSAXDiVa9FMjkH5QVQUzEbZwwUjjZuZTHcXPav3s3cXakH7wuDrDUBsSH2Qzrq14et3qvMdjzSJmkbtzXnwMrFRY5Pd1mGDMrQhxmvHQHGY9NL8AAr6N9MoYhjfRXwKXz3BuRSGXf7aG889jnFUJuHhTHuSxMZSjUTghthbix2CYxfvhz7aNSrJvF8mUUfvKhsFEDDc2HYQAwm6jEkBxJLBVGFmyeR8atH2TTPzSj4tPm",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
          "index": 1,
          "amount": 4,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
          "index": 2,
          "amount": 2,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "057e",
          "sigmaType": "SLong",
          "renderedValue": "63"
        },
        "R6": {
          "serializedValue": "1007160c220c000602",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[11,6,17,6,0,3,1]"
        },
        "R8": {
          "serializedValue": "057c",
          "sigmaType": "SLong",
          "renderedValue": "62"
        },
        "R7": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R9": {
          "serializedValue": "10071a1a2216020202",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[13,13,17,11,1,1,1]"
        },
        "R4": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "97f4f5af4e186b21b2ba3e19bf702d365410353e71243434c849dfcf61f8e699",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "5f31e967c0a737df67bd8807fa7beafd07af8e1dadb77daf5156fbdb8f9ca52a",
      "outputTransactionId": "d429ac33e1e9a52a07ee5b36af30b6835b004cebf9a982ec15189620778fd8fe",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110a0ac0a386010206c83380897a3c8084af5f0402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,1]"
        },
        "R6": {
          "serializedValue": "110c0000322832c8016464a006c801c801d00f",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
        },
        "R8": {
          "serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
        },
        "R7": {
          "serializedValue": "1104142864c801",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,20,50,100]"
        },
        "R4": {
          "serializedValue": "1a0720596ef46911906fb2de515da11db417eacb44e335b89f9c026d8869e41e56eef3203a8df4db1fb74a3eaaf0f29553148600ae46cdaaf9f16db2ca7b4862c86d724020e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f208c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b5972003fcf68b3529c7555d66cdfc468e5acd08ec3eb71a592a8905e10380064d19d820e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[596ef46911906fb2de515da11db417eacb44e335b89f9c026d8869e41e56eef3,3a8df4db1fb74a3eaaf0f29553148600ae46cdaaf9f16db2ca7b4862c86d7240,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,8c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b597,03fcf68b3529c7555d66cdfc468e5acd08ec3eb71a592a8905e10380064d19d8,e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "f0d498bae6bf6de14edc703fae02920ac01c9968195156eb0e104021fb782aa2",
      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 919300000,
      "index": 0,
      "globalIndex": 23166384,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1007160c240e000602",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[11,6,18,7,0,3,1]"
        },
        "R6": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "057e",
          "sigmaType": "SLong",
          "renderedValue": "63"
        },
        "R4": {
          "serializedValue": "0ef6014c656d6f6e3a6335623261633a3462613130393a333a343a4d3232372c313437513230392c3136392c3139322e352c3138332e35513137362c3139382c3135362c3230382e35513133362c3231392c3131342e352c3231345139332c3230392c36332e352c3230375133342c3230352c33332e352c3137362e355133332c3134382c33342c3132352e355133352c3130332c34352e352c38332e355135362c36342c37322c34352e355138382c32372c3131332e352c31372e35513133392c382c3136312c32342e35513138332c34312c3230372c3535513233312c36392c3233382c3937513234352c3132352c3232372c3134375a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4c656d6f6e3a6335623261633a3462613130393a333a343a4d3232372c313437513230392c3136392c3139322e352c3138332e35513137362c3139382c3135362c3230382e35513133362c3231392c3131342e352c3231345139332c3230392c36332e352c3230375133342c3230352c33332e352c3137362e355133332c3134382c33342c3132352e355133352c3130332c34352e352c38332e355135362c36342c37322c34352e355138382c32372c3131332e352c31372e35513133392c382c3136312c32342e35513138332c34312c3230372c3535513233312c36392c3233382c3937513234352c3132352c3232372c3134375a"
        }
      },
      "spentTransactionId": "f26409423d15079a607a553c74be1e99df476ff2543a9348f45ed62a8189c1ab",
      "mainChain": true
    },
    {
      "boxId": "4954bbe980b35b1a832164570ad8e45c32e3b7d297e523c22ff6209ee55d63a4",
      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 1077100000,
      "index": 1,
      "globalIndex": 23166385,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "10071a1a2416020202",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[13,13,18,11,1,1,1]"
        },
        "R6": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "057c",
          "sigmaType": "SLong",
          "renderedValue": "62"
        },
        "R4": {
          "serializedValue": "0ee0015a6c7572673a3738616436343a3666643964383a353a313a4d3231392e352c3135322e35513231312c3138302c3138302e352c3138302e35513135302c3138312c3132392e352c3230392e35513130392c3233382c39372c3230342e355138352c3137312c35342e352c3136335132342c3135352c34332e352c3133315136332c3130372c36342e352c38325136362c35372c38392e352c34392e35513131332c34322c3133322c3535513135312c36382c3136342e352c37392e35513137382c39312c3230332c313038513232382c3132352c3231392e352c3135322e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5a6c7572673a3738616436343a3666643964383a353a313a4d3231392e352c3135322e35513231312c3138302c3138302e352c3138302e35513135302c3138312c3132392e352c3230392e35513130392c3233382c39372c3230342e355138352c3137312c35342e352c3136335132342c3135352c34332e352c3133315136332c3130372c36342e352c38325136362c35372c38392e352c34392e35513131332c34322c3133322c3535513135312c36382c3136342e352c37392e35513137382c39312c3230332c313038513232382c3132352c3231392e352c3135322e355a"
        }
      },
      "spentTransactionId": "1b7a5b6e2212f5f08676512a77ca3685c58ad3c75d8e62d3b1472bba4398d154",
      "mainChain": true
    },
    {
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      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 1000000,
      "index": 2,
      "globalIndex": 23166386,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
      "address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
      "assets": [
        {
          "tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
          "index": 1,
          "amount": 1,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "f26409423d15079a607a553c74be1e99df476ff2543a9348f45ed62a8189c1ab",
      "mainChain": true
    },
    {
      "boxId": "b1b34e97a8d7c33de625baa66ec471cfcab3911ac1f5934b180083b429ded5ce",
      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 1000000,
      "index": 3,
      "globalIndex": 23166387,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
      "address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
      "assets": [
        {
          "tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
          "index": 0,
          "amount": 1,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
          "index": 1,
          "amount": 1,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "f26409423d15079a607a553c74be1e99df476ff2543a9348f45ed62a8189c1ab",
      "mainChain": true
    },
    {
      "boxId": "e56c55e0d084007269053c8949ad5fc04982a7ab25378e01147d85a0cb64b1c2",
      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 6000000,
      "index": 4,
      "globalIndex": 23166388,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "ergoTree": "101c0400040e040204040428040004080400051404000402010008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec704060400040a040204000e200ff0d23807cec701801d0bdf222a3cd6dc2f3fb8acfe46d19f1f3b762c8808ce0400050205000402040c04040100d807d601b2db6501fe730000d602b1a5d603e4c67201041ad604e4c672010511d605b27204730100d606b27204730200d607959372027303edededed92b1a4730493cbc2b2a5730500b2720373060091c1b2a57307009d7205730890c1b2a5730900720593c1b2a5730a007206730beb02730cd1ed938cb2db63087201730d0001730eec720795edef7207937202730fd801d608b2a5731000ededededededed93cbc27208b2720373110092c17208720593b1db630872087312938cb2db63087208731300017314938cb2db6308720873150002731693e4c672080405731793cbc2b2a5731800b2720373190093c1b2a5731a007206731b",
      "ergoTreeConstants": "0: 0\n1: 7\n2: 1\n3: 2\n4: 20\n5: 0\n6: 4\n7: 0\n8: 10\n9: 0\n10: 1\n11: false\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n15: 3\n16: 0\n17: 5\n18: 1\n19: 0\n20: Coll(15,-16,-46,56,7,-50,-57,1,-128,29,11,-33,34,42,60,-42,-36,47,63,-72,-84,-2,70,-47,-97,31,59,118,44,-120,8,-50)\n21: 0\n22: 1\n23: 0\n24: 1\n25: 6\n26: 2\n27: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i2 = OUTPUTS.size\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = box1.R5[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](1))\n  val l6 = coll4(placeholder[Int](2))\n  val bool7 = if (i2 == placeholder[Int](3)) {\n    (\n      (\n        ((INPUTS.size >= placeholder[Int](4)) && (blake2b256(OUTPUTS(placeholder[Int](5)).propositionBytes) == coll3(placeholder[Int](6)))) && (\n          OUTPUTS(placeholder[Int](7)).value > l5 / placeholder[Long](8)\n        )\n      ) && (OUTPUTS(placeholder[Int](9)).value <= l5)\n    ) && (OUTPUTS(placeholder[Int](10)).value == l6)\n  } else { placeholder[Boolean](11) }\n  placeholder[SigmaProp](12) || sigmaProp(\n    (box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14)) && (bool7 || if ((!bool7) && (i2 == placeholder[Int](15))) {(\n        val box8 = OUTPUTS(placeholder[Int](16))\n        (((((((blake2b256(box8.propositionBytes) == coll3(placeholder[Int](17))) && (box8.value >= l5)) && (box8.tokens.size == placeholder[Int](18))) && (box8.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20))) && (box8.tokens(placeholder[Int](21))._2 == placeholder[Long](22))) && (box8.R4[Long].get == placeholder[Long](23))) && (blake2b256(OUTPUTS(placeholder[Int](24)).propositionBytes) == coll3(placeholder[Int](25)))) && (OUTPUTS(placeholder[Int](26)).value == l6)\n      )} else { placeholder[Boolean](27) })\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "668cba3257f05c8d41825049fed3db0b425354de82b4705e8a5e46c6304ac70e",
      "mainChain": true
    },
    {
      "boxId": "4ea16607f8edc1c89f81a0da9eb84df9a906f1d2cf2a9634e1cf1cffd7360605",
      "transactionId": "32726e6b2c98f7832fbe5873b542ad9444aaedd5c7beb4dc44dcd8dc3cb29b1e",
      "blockId": "906f901733b00ba23ba0a65b45a5188f57000a69a853f6887ee5f9578a47e0cd",
      "value": 1100000,
      "index": 5,
      "globalIndex": 23166389,
      "creationHeight": 865088,
      "settlementHeight": 865090,
      "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": "8f2393da143b1e4246b6184dc4bcb8895c4e05944c7f4fbc540759d1c5e7cae2",
      "mainChain": true
    }
  ],
  "size": 5307,
  "isUnconfirmed": false
}