Ad

Transaction

8/5/2022 11:38:09 AM
ID: cd1f27ba82...0c78
Inputs (3)
#0
e338d90c8301...ff16
Spent
Address:
7ML6CWKuTA3A...M8m1
Output transaction:
2d5cec13a12c...b66c
Settlement height:
808,965
Value:
0.203 ERG
Tokens:
Loading assets...
#1
c1a1929824a9...008d
Spent
Address:
7ML6CWKuTA3A...M8m1
Output transaction:
d97bebe6b876...18b0
Settlement height:
808,949
Value:
0.201 ERG
Tokens:
Loading assets...
#2
81ecd8bf8f51...a2c9
Spent
Address:
5CCVFXRuLiHH...MPDH
Output transaction:
976e8f04e5c2...be7c
Settlement height:
808,474
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
#0
b186edcaa121...e339
Spent
Address:
7ML6CWKuTA3A...M8m1
Spent in transaction:
cfdfc05ce086...036b
Settlement height:
809,036
Value:
0.103 ERG
Tokens:
Loading assets...
#1
662cb19c0eef...ac8b
Spent
Address:
7ML6CWKuTA3A...M8m1
Spent in transaction:
cfdfc05ce086...036b
Settlement height:
809,036
Value:
0.101 ERG
Tokens:
Loading assets...
#2
4cef3760963a...e313
Unspent
Address:
9YSPqEWMjxf9...DfDR
Settlement height:
809,036
Value:
0.198 ERG
Tokens:
Loading assets...
#3
2c1ea6ef3d57...f844
Spent
Address:
5CCVFXRuLiHH...MPDH
Spent in transaction:
7738cfdd389a...2ac7
Settlement height:
809,036
Value:
0.001 ERG
Tokens:
Loading assets...
#4
024d0fe226f0...1234
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
539b774aab9c...cd33
Settlement height:
809,036
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 6.82 KB
Received time: 8/5/2022 11:38:09 AM
Included in blocks: 809,036
Confirmations: 951,064
Total coins transferred: 0.405 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000286 ERG
Raw Transaction Data
{
  "id": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
  "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
  "inclusionHeight": 809036,
  "timestamp": 1659699489100,
  "index": 10,
  "globalIndex": 3689216,
  "numConfirmations": 951064,
  "inputs": [
    {
      "boxId": "e338d90c83019f0f8c8b0b0af06e744a6445fceffad26a07c7e5cec4dd36ff16",
      "value": 203000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "0e63c05f57ebfd0dcf2d5db9a4f286ef77da7cec0ef0ee62e4348ec0cdf2d891",
      "outputTransactionId": "2d5cec13a12cf75f0359bfcb9d1688404d25c25592ddb7f5ad6e23160056b66c",
      "outputIndex": 0,
      "outputGlobalIndex": 19867406,
      "outputCreatedAt": 808963,
      "outputSettledAt": 808965,
      "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: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: 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 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020e0a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,7,5]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R9": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R4": {
          "serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
        }
      }
    },
    {
      "boxId": "c1a1929824a9bb7a62dfd3f1938a62e585f4722ff77ecb4e1f44fc3172dc008d",
      "value": 201000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "cb67a091febe3fca2c129b6091e7b836e57324e33586aa849236b8f2c4c2ccf5",
      "outputTransactionId": "d97bebe6b8761fe1faa695a338f366d46998e8e1e5290fb4c538cd139ea418b0",
      "outputIndex": 0,
      "outputGlobalIndex": 19866610,
      "outputCreatedAt": 808947,
      "outputSettledAt": 808949,
      "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: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: 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 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020202",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,1,1]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R9": {
          "serializedValue": "050e",
          "sigmaType": "SLong",
          "renderedValue": "7"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      }
    },
    {
      "boxId": "81ecd8bf8f51b90e3e5c2eae6ba9518669727d789c1309aac848ec1ce03fa2c9",
      "value": 1000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "89946301a36402ff8ce3ca77b4e1dc4e80b25a62ff2b8d1f92968b83506fbc11",
      "outputTransactionId": "976e8f04e5c233f1af765318eba32880c8196b3ae15255696269c9ad9c82be7c",
      "outputIndex": 3,
      "outputGlobalIndex": 19842412,
      "outputCreatedAt": 808472,
      "outputSettledAt": 808474,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n6: 0\n7: 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)\n8: 3\n9: 1\n10: 0\n11: 0\n12: 0\n13: false\n14: 2\n15: 2\n16: 1\n17: 1\n18: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val bool2 = OUTPUTS.size > placeholder[Int](1)\n  val coll3 = placeholder[Coll[Byte]](2)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](3)) + coll4(placeholder[Int](4))\n  placeholder[SigmaProp](5) || sigmaProp(((box1.tokens(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7)) && if (bool2) {(\n        val box6 = OUTPUTS(placeholder[Int](8))\n        ((((blake2b256(box6.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box6.value == SELF.value)) && (box6.tokens.size == placeholder[Int](9))) && (box6.tokens(placeholder[Int](10))._1 == coll3)) && (box6.tokens(placeholder[Int](11))._2 == SELF.tokens(placeholder[Int](12))._2 - l5)\n      )} else { placeholder[Boolean](13) }) && if (bool2) {(\n      val box6 = OUTPUTS(placeholder[Int](14))\n      (((blake2b256(box6.propositionBytes) == box1.R5[Coll[Byte]].get) && (box6.tokens.size == placeholder[Int](15))) && (box6.tokens(placeholder[Int](16))._1 == coll3)) && (box6.tokens(placeholder[Int](17))._2 == l5)\n    )} else { placeholder[Boolean](18) })\n}",
      "address": "5CCVFXRuLiHHQ2yYmWtGzL2igZCvPocAXhJBKkE29cYjQXvyDYKD42oMcmxw3JzkEHYeBR22WDnmpmfDnqsKcZs2gh4dT3NSgDScU8gmExh4KWCKuhXgjtN6T39bxXBzagN7Xa4qTdFnfHPNZQrSZeozxVjH2NqtJFrYmGBVaSngAad6FgYs7YX8EXMccyGNZuV6VVfGmPFby1QU4QYfubfjR1mxTehgGsQ2KPD3PMGPMopPCotM1zY1SAPcPNS5qqMPsSk6wMLmm2KDzfUc2NMSPXUdtyRDS6BiMnfgFS5eGMPfGYqEweeav8tRo3Cdr6absNYz7rJh1nJ6AzDGh8QoQnvMhba8qmoCGKd24YKX7RbBQURY36FQ9dH6ZGCy36fk9GQkRDGPv4f6UvDNhwpCMxpomE9JxVkvhc4kwK5M88DDDweiZxxA52kBqQ547fLqbP5FgzxApMfVuKkF51xXAJQMiUxMPDH",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 968,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "966941c78ec0ad0c66e21a09372c3e9ef1e50ed283b77ff0293558b0b279d091",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "7ee554d2756be3acbcc423cb8a820f9483e24d77b91b55094ec407a6167a86fe",
      "outputTransactionId": "ec1d082159bf4ff2d81a408b09b2b6cccd0c3691378f6290fb08041eafeb0153",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2077e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "77e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a"
        },
        "R5": {
          "serializedValue": "0e205b7dc83d589b7efb8632d589544afb3d315179f5739992d3b76c240a5c8d1145",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5b7dc83d589b7efb8632d589544afb3d315179f5739992d3b76c240a5c8d1145"
        },
        "R6": {
          "serializedValue": "1104148092f4010206",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,2000000,1,3]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "b186edcaa1216f936b950b381401a3e0d62b50b6b19131f93fbae15fcbd8e339",
      "transactionId": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
      "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
      "value": 103000000,
      "index": 0,
      "globalIndex": 19870343,
      "creationHeight": 809034,
      "settlementHeight": 809036,
      "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: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: 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 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020e0a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,7,5]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R4": {
          "serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
        }
      },
      "spentTransactionId": "cfdfc05ce0860615eb6ccc66b8f0e12446d92b7dd457a41b6c46ff32793a036b",
      "mainChain": true
    },
    {
      "boxId": "662cb19c0eef53ff7c7dd63bec433dfdcc5b57a722537ea4ac11466443f7ac8b",
      "transactionId": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
      "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
      "value": 101000000,
      "index": 1,
      "globalIndex": 19870344,
      "creationHeight": 809034,
      "settlementHeight": 809036,
      "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: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: 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 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020202",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,1,1]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "050e",
          "sigmaType": "SLong",
          "renderedValue": "7"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      },
      "spentTransactionId": "cfdfc05ce0860615eb6ccc66b8f0e12446d92b7dd457a41b6c46ff32793a036b",
      "mainChain": true
    },
    {
      "boxId": "4cef3760963a35aa55975e15462b2f11979ce65e8d5e999b3a91082761ace313",
      "transactionId": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
      "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
      "value": 198000000,
      "index": 2,
      "globalIndex": 19870345,
      "creationHeight": 809034,
      "settlementHeight": 809036,
      "ergoTree": "10570400040004020400040204040514051404a8460402040405140514040004060514050a05080510040004060514050a05080510040204060406040a040205040400040204060e2025ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d19010406040404000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b05000500010005000500010005040504058092f40105040504058092f401040404020400040004000100040604020400040004000100040004020404050204060502040004020404050204060100040004020404050204060502040004020404050204060100d825d601b2db6501fe730000d602b2a5730100d603e4c67201040ed604e4c6a70408d605b2a5730200d606e4c6a70708d607db6801b2db6502fe730300d608e4c6a70911d609b27208730400d60ab27208730500d60b9a9c730672099c7307720ad60c7308d60de4c6a70611d60eb2720d730900d60fb2720d730a00d6109a9c730b720e9c730c720fd611b27208730d00d612b27208730e00d6139a9a9a9c730f72119c731072099c7311720a9c73127212d614b2720d731300d615b2720d731400d6169a9a9a9c731572149c7316720e9c7317720f9c73187215d6179aa27cb472077319731aa19a720b7e720c057210a19a72137e720c057216d6189aa27cb47207731b731ca19a72107e720c05720ba19a72167e720c057213d6199172177218d61ae4c672010611d61bb2721a731d00d61c9d9ac1a7721b731ed61dc1b2a4731f00d61ec1b2a4732000d61f9072177218d62091b1a57321d6217322d622b2721a732300d623b2721a732400d624c672020511d625c672050511d196830801938cb2db630872017325000173269593cbc272027203ededed93e4c672020608720493e4c672020705732793e4c672020805732893e4c672020905e4c6a7050573299593cbc272057203ededed93e4c672050608720693e4c672050705732a93e4c672050805732b93e4c672050905e4c6a70805732c97830201eded721993c1720299999a721d9c732d721c9c732e721b732f93c17205721eeded721f93c17202721d93c1720599999a721e9c7330721c9c7331721b7332957220d801d626b2a5733300ededed93c27226d0720493b1db630872267334938cb2db63087226733500017221eced7219938cb2db63087226733600027222ed721f938cb2db630872267337000272237338957220d801d626b2a5733900ededed93c27226d0720693b1db63087226733a938cb2db63087226733b00017221eced7219938cb2db63087226733c00027223ed721f938cb2db63087226733d00027222733e95e67224d801d626e4722497830201edededed721993b27226733f00721493b27226734000720e93b272267341009a720f734293b272267343009a72157344edededed721f93b27226734500721493b27226734600720e93b272267347009a720f734893b272267349007215734a95e67225d801d626e4722597830201edededed721f93b27226734b00721193b27226734c00720993b27226734d009a720a734e93b27226734f009a72127350edededed721993b27226735100721193b27226735200720993b272267353009a720a735493b2722673550072127356",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 1\n5: 2\n6: 10\n7: 10\n8: 4500\n9: 1\n10: 2\n11: 10\n12: 10\n13: 0\n14: 3\n15: 10\n16: 5\n17: 4\n18: 8\n19: 0\n20: 3\n21: 10\n22: 5\n23: 4\n24: 8\n25: 1\n26: 3\n27: 3\n28: 5\n29: 1\n30: 2\n31: 0\n32: 1\n33: 3\n34: 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)\n35: 3\n36: 2\n37: 0\n38: 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)\n39: 0\n40: 0\n41: false\n42: 0\n43: 0\n44: false\n45: 2\n46: 2\n47: 2000000\n48: 2\n49: 2\n50: 2000000\n51: 2\n52: 1\n53: 0\n54: 0\n55: 0\n56: false\n57: 3\n58: 1\n59: 0\n60: 0\n61: 0\n62: false\n63: 0\n64: 1\n65: 2\n66: 1\n67: 3\n68: 1\n69: 0\n70: 1\n71: 2\n72: 1\n73: 3\n74: false\n75: 0\n76: 1\n77: 2\n78: 1\n79: 3\n80: 1\n81: 0\n82: 1\n83: 2\n84: 1\n85: 3\n86: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box2 = OUTPUTS(placeholder[Int](1))\n  val coll3 = box1.R4[Coll[Byte]].get\n  val prop4 = SELF.R4[SigmaProp].get\n  val box5 = OUTPUTS(placeholder[Int](2))\n  val prop6 = SELF.R7[SigmaProp].get\n  val coll7 = CONTEXT.headers(placeholder[Int](3)).id\n  val coll8 = SELF.R9[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = coll8(placeholder[Int](5))\n  val l11 = placeholder[Long](6) * l9 + placeholder[Long](7) * l10\n  val i12 = placeholder[Int](8)\n  val coll13 = SELF.R6[Coll[Long]].get\n  val l14 = coll13(placeholder[Int](9))\n  val l15 = coll13(placeholder[Int](10))\n  val l16 = placeholder[Long](11) * l14 + placeholder[Long](12) * l15\n  val l17 = coll8(placeholder[Int](13))\n  val l18 = coll8(placeholder[Int](14))\n  val l19 = placeholder[Long](15) * l17 + placeholder[Long](16) * l9 + placeholder[Long](17) * l10 + placeholder[Long](18) * l18\n  val l20 = coll13(placeholder[Int](19))\n  val l21 = coll13(placeholder[Int](20))\n  val l22 = placeholder[Long](21) * l20 + placeholder[Long](22) * l14 + placeholder[Long](23) * l15 + placeholder[Long](24) * l21\n  val l23 = max(byteArrayToLong(coll7.slice(placeholder[Int](25), placeholder[Int](26))), min(l11 + i12.toLong, l16)) + min(l19 + i12.toLong, l22)\n  val l24 = max(byteArrayToLong(coll7.slice(placeholder[Int](27), placeholder[Int](28))), min(l16 + i12.toLong, l11)) + min(l22 + i12.toLong, l19)\n  val bool25 = l23 > l24\n  val coll26 = box1.R6[Coll[Long]].get\n  val l27 = coll26(placeholder[Int](29))\n  val l28 = SELF.value + l27 / placeholder[Long](30)\n  val l29 = INPUTS(placeholder[Int](31)).value\n  val l30 = INPUTS(placeholder[Int](32)).value\n  val bool31 = l23 <= l24\n  val bool32 = OUTPUTS.size > placeholder[Int](33)\n  val coll33 = placeholder[Coll[Byte]](34)\n  val l34 = coll26(placeholder[Int](35))\n  val l35 = coll26(placeholder[Int](36))\n  val opt36 = box2.R5[Coll[Long]]\n  val opt37 = box5.R5[Coll[Long]]\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38), if (blake2b256(box2.propositionBytes) == coll3) {\n          (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](39))) && (box2.R8[Long].get == placeholder[Long](40))) && (\n            box2.R9[Long].get == SELF.R5[Long].get\n          )\n        } else { placeholder[Boolean](41) }, if (blake2b256(box5.propositionBytes) == coll3) {\n          (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](42))) && (box5.R8[Long].get == placeholder[Long](43))) && (\n            box5.R9[Long].get == SELF.R8[Long].get\n          )\n        } else { placeholder[Boolean](44) }, anyOf(\n          Coll[Boolean](\n            (bool25 && (box2.value == l29 + placeholder[Long](45) * l28 - placeholder[Long](46) * l27 - placeholder[Long](47))) && (box5.value == l30), (\n              bool31 && (box2.value == l29)\n            ) && (box5.value == l30 + placeholder[Long](48) * l28 - placeholder[Long](49) * l27 - placeholder[Long](50))\n          )\n        ), if (bool32) {(\n          val box38 = OUTPUTS(placeholder[Int](51))\n          (\n            ((box38.propositionBytes == prop4.propBytes) && (box38.tokens.size == placeholder[Int](52))) && (box38.tokens(placeholder[Int](53))._1 == coll33)\n          ) && ((bool25 && (box38.tokens(placeholder[Int](54))._2 == l34)) || (bool31 && (box38.tokens(placeholder[Int](55))._2 == l35)))\n        )} else { placeholder[Boolean](56) }, if (bool32) {(\n          val box38 = OUTPUTS(placeholder[Int](57))\n          (\n            ((box38.propositionBytes == prop6.propBytes) && (box38.tokens.size == placeholder[Int](58))) && (box38.tokens(placeholder[Int](59))._1 == coll33)\n          ) && ((bool25 && (box38.tokens(placeholder[Int](60))._2 == l35)) || (bool31 && (box38.tokens(placeholder[Int](61))._2 == l34)))\n        )} else { placeholder[Boolean](62) }, if (opt36.isDefined) {(\n          val coll38 = opt36.get\n          anyOf(\n            Coll[Boolean](\n              (\n                ((bool25 && (coll38(placeholder[Int](63)) == l20)) && (coll38(placeholder[Int](64)) == l14)) && (\n                  coll38(placeholder[Int](65)) == l15 + placeholder[Long](66)\n                )\n              ) && (coll38(placeholder[Int](67)) == l21 + placeholder[Long](68)), (\n                ((bool31 && (coll38(placeholder[Int](69)) == l20)) && (coll38(placeholder[Int](70)) == l14)) && (\n                  coll38(placeholder[Int](71)) == l15 + placeholder[Long](72)\n                )\n              ) && (coll38(placeholder[Int](73)) == l21)\n            )\n          )\n        )} else { placeholder[Boolean](74) }, if (opt37.isDefined) {(\n          val coll38 = opt37.get\n          anyOf(\n            Coll[Boolean](\n              (\n                ((bool31 && (coll38(placeholder[Int](75)) == l17)) && (coll38(placeholder[Int](76)) == l9)) && (\n                  coll38(placeholder[Int](77)) == l10 + placeholder[Long](78)\n                )\n              ) && (coll38(placeholder[Int](79)) == l18 + placeholder[Long](80)), (\n                ((bool25 && (coll38(placeholder[Int](81)) == l17)) && (coll38(placeholder[Int](82)) == l9)) && (\n                  coll38(placeholder[Int](83)) == l10 + placeholder[Long](84)\n                )\n              ) && (coll38(placeholder[Int](85)) == l18)\n            )\n          )\n        )} else { placeholder[Boolean](86) }\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 1,
          "amount": 4,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R6": {
          "serializedValue": "110402020e0a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,7,5]"
        },
        "R8": {
          "serializedValue": "050e",
          "sigmaType": "SLong",
          "renderedValue": "7"
        },
        "R7": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R9": {
          "serializedValue": "110402020202",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,1,1]"
        },
        "R4": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "2c1ea6ef3d5768d3596f91d4b2f5f754e79b550795877b06eb2e3748d1d9f844",
      "transactionId": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
      "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
      "value": 1000000,
      "index": 3,
      "globalIndex": 19870346,
      "creationHeight": 809034,
      "settlementHeight": 809036,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n6: 0\n7: 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)\n8: 3\n9: 1\n10: 0\n11: 0\n12: 0\n13: false\n14: 2\n15: 2\n16: 1\n17: 1\n18: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val bool2 = OUTPUTS.size > placeholder[Int](1)\n  val coll3 = placeholder[Coll[Byte]](2)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](3)) + coll4(placeholder[Int](4))\n  placeholder[SigmaProp](5) || sigmaProp(((box1.tokens(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7)) && if (bool2) {(\n        val box6 = OUTPUTS(placeholder[Int](8))\n        ((((blake2b256(box6.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box6.value == SELF.value)) && (box6.tokens.size == placeholder[Int](9))) && (box6.tokens(placeholder[Int](10))._1 == coll3)) && (box6.tokens(placeholder[Int](11))._2 == SELF.tokens(placeholder[Int](12))._2 - l5)\n      )} else { placeholder[Boolean](13) }) && if (bool2) {(\n      val box6 = OUTPUTS(placeholder[Int](14))\n      (((blake2b256(box6.propositionBytes) == box1.R5[Coll[Byte]].get) && (box6.tokens.size == placeholder[Int](15))) && (box6.tokens(placeholder[Int](16))._1 == coll3)) && (box6.tokens(placeholder[Int](17))._2 == l5)\n    )} else { placeholder[Boolean](18) })\n}",
      "address": "5CCVFXRuLiHHQ2yYmWtGzL2igZCvPocAXhJBKkE29cYjQXvyDYKD42oMcmxw3JzkEHYeBR22WDnmpmfDnqsKcZs2gh4dT3NSgDScU8gmExh4KWCKuhXgjtN6T39bxXBzagN7Xa4qTdFnfHPNZQrSZeozxVjH2NqtJFrYmGBVaSngAad6FgYs7YX8EXMccyGNZuV6VVfGmPFby1QU4QYfubfjR1mxTehgGsQ2KPD3PMGPMopPCotM1zY1SAPcPNS5qqMPsSk6wMLmm2KDzfUc2NMSPXUdtyRDS6BiMnfgFS5eGMPfGYqEweeav8tRo3Cdr6absNYz7rJh1nJ6AzDGh8QoQnvMhba8qmoCGKd24YKX7RbBQURY36FQ9dH6ZGCy36fk9GQkRDGPv4f6UvDNhwpCMxpomE9JxVkvhc4kwK5M88DDDweiZxxA52kBqQ547fLqbP5FgzxApMfVuKkF51xXAJQMiUxMPDH",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 964,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "7738cfdd389aff79e318007ab97520969c0ec9bcc1f3d511a7276d25a3522ac7",
      "mainChain": true
    },
    {
      "boxId": "024d0fe226f076dfe3bba59cf1a82717a216cdb401df3fd0cffadb2e4eb61234",
      "transactionId": "cd1f27ba82c4fa9d3754870eaefc9be9234e98b6cf51bace43fa403ae5620c78",
      "blockId": "286a8e76206cde2ec344c8a66b50dc594e2fe6810ebeee477a84e5672924e269",
      "value": 2000000,
      "index": 4,
      "globalIndex": 19870347,
      "creationHeight": 809034,
      "settlementHeight": 809036,
      "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": "539b774aab9c7c712c8e4cf498c33e910590dffc8574a29ec6abf3fcc2d2cd33",
      "mainChain": true
    }
  ],
  "size": 6985,
  "isUnconfirmed": false
}