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Transaction

8/11/2022 03:55:12 PM
ID: 6272255ddd...5a19
Inputs (3)
#0
a8d14d5e2307...6798
Spent
Address:
hp9VFDK6UGkv...fjzz
Output transaction:
76d467a27606...2abc
Settlement height:
813,509
Value:
0.107 ERG
Tokens:
Loading assets...
#1
3fac211d5329...277b
Spent
Address:
hp9VFDK6UGkv...fjzz
Output transaction:
76d467a27606...2abc
Settlement height:
813,509
Value:
0.007 ERG
Tokens:
Loading assets...
#2
3a257721f357...32ba
Spent
Address:
7JmK5LNtZQ9s...aLdz
Output transaction:
76d467a27606...2abc
Settlement height:
813,509
Value:
0.198 ERG
Tokens:
Loading assets...
Outputs (5)
#0
5e2d01460da7...ecd5
Spent
Address:
hp9VFDK6UGkv...fjzz
Spent in transaction:
91ba74b14249...2872
Settlement height:
813,512
Value:
0.301 ERG
Tokens:
Loading assets...
#1
adc6fd2aeb10...3e89
Spent
Address:
hp9VFDK6UGkv...fjzz
Spent in transaction:
ad3a1af78104...1646
Settlement height:
813,512
Value:
0.007 ERG
Tokens:
Loading assets...
#2
e36d2d54af25...0b65
Spent
Address:
9g16ZMPo22b3...xxoT
Spent in transaction:
12e1fd0ee409...d957
Settlement height:
813,512
Value:
0.001 ERG
Tokens:
Loading assets...
#3
75322e051230...7a3b
Spent
Address:
9ezcf4GFUNVr...1pt1
Spent in transaction:
e30822bbc4bb...9472
Settlement height:
813,512
Value:
0.001 ERG
Tokens:
Loading assets...
#4
e50b79875871...f9fc
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
8c262f29a9e5...7ce5
Settlement height:
813,512
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 4.74 KB
Received time: 8/11/2022 03:55:12 PM
Included in blocks: 813,512
Confirmations: 956,402
Total coins transferred: 0.312 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000412 ERG
Raw Transaction Data
{
  "id": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
  "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
  "inclusionHeight": 813512,
  "timestamp": 1660233312566,
  "index": 12,
  "globalIndex": 3730301,
  "numConfirmations": 956402,
  "inputs": [
    {
      "boxId": "a8d14d5e23070d226e5a3c2331d805a339f8e183c1b468de63c1eef01d826798",
      "value": 107000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "be1382ed83a9b01cd54e07a2e3ef39e2d67775a9476f8d7b39f942f6e335e25e",
      "outputTransactionId": "76d467a27606ba9c5bf714393a6b545e681b027b6240f6f59d1c9101004f2abc",
      "outputIndex": 0,
      "outputGlobalIndex": 20099127,
      "outputCreatedAt": 813507,
      "outputSettledAt": 813509,
      "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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n      placeholder[Boolean](5)\n    }\n  }\n  val bool8 = func7(placeholder[Int](6))\n  val coll9 = placeholder[SigmaProp](7).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](8))\n  val l12 = SELF.R7[Long].get\n  val box13 = OUTPUTS(placeholder[Int](9))\n  val l14 = box13.tokens(placeholder[Int](10))._2\n  val coll15 = SELF.R4[Coll[Byte]].get\n  val coll16 = SELF.R5[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](11))\n  val l18 = coll16(placeholder[Int](12))\n  val l19 = coll16(placeholder[Int](13))\n  val l20 = coll16(placeholder[Int](14))\n  val l21 = SELF.R9[Long].get\n  val l22 = SELF.R8[Long].get\n  val l23 = box13.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n      coll26(placeholder[Int](18)) == l20\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = func7(placeholder[Int](19))\n  val i27 = OUTPUTS.size\n  val bool28 = box13.R4[Coll[Byte]].get == coll15\n  val box29 = OUTPUTS(placeholder[Int](20))\n  val bool30 = box29.propositionBytes == coll9\n  sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n            val box31 = OUTPUTS(placeholder[Int](23))\n            val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n            if (box31.propositionBytes == coll9) {(\n              val tuple33 = box31.tokens(placeholder[Int](26))\n              ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n            )} else { placeholder[Boolean](30) }\n          )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n            val box31 = OUTPUTS(placeholder[Int](33))\n            val l32 = l10 - box13.value\n            if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n                          val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n                          (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n                        }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n          )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n            val l31 = box13.R7[Long].get\n            (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n            val coll31 = box13.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n           } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n    (\n      if (bool8 && (l12 == placeholder[Long](79))) {\n        if (i27 > placeholder[Int](80)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n                        ) && bool25\n                      ) && (l14 == placeholder[Long](85))\n                    ) && bool28\n                  ) && func24(placeholder[Int](86))\n                ) && (box13.R7[Long].get == placeholder[Long](87))\n              ) && (box13.R8[Long].get == placeholder[Long](88))\n            ) && (box13.R9[Long].get == l21)\n          } else { placeholder[Boolean](89) }\n        } else { placeholder[Boolean](90) }\n      } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n          val box31 = OUTPUTS(placeholder[Int](94))\n          if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n        )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n    ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n      (\n        (\n          (\n            ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n          ) && (box13.R9[Long].get == l21)\n        ) && (l14 == placeholder[Long](118))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n              box29.R8[Long].get == placeholder[Long](120)\n            )\n          ) && (box29.R9[Long].get == l21)\n        ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n      )\n    } else { placeholder[Boolean](123) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "0522",
          "sigmaType": "SLong",
          "renderedValue": "17"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      }
    },
    {
      "boxId": "3fac211d5329b462671308794b45eb9ef5f2275ae8485ac4ca6570d7403d277b",
      "value": 7000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "be1382ed83a9b01cd54e07a2e3ef39e2d67775a9476f8d7b39f942f6e335e25e",
      "outputTransactionId": "76d467a27606ba9c5bf714393a6b545e681b027b6240f6f59d1c9101004f2abc",
      "outputIndex": 1,
      "outputGlobalIndex": 20099128,
      "outputCreatedAt": 813507,
      "outputSettledAt": 813509,
      "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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n      placeholder[Boolean](5)\n    }\n  }\n  val bool8 = func7(placeholder[Int](6))\n  val coll9 = placeholder[SigmaProp](7).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](8))\n  val l12 = SELF.R7[Long].get\n  val box13 = OUTPUTS(placeholder[Int](9))\n  val l14 = box13.tokens(placeholder[Int](10))._2\n  val coll15 = SELF.R4[Coll[Byte]].get\n  val coll16 = SELF.R5[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](11))\n  val l18 = coll16(placeholder[Int](12))\n  val l19 = coll16(placeholder[Int](13))\n  val l20 = coll16(placeholder[Int](14))\n  val l21 = SELF.R9[Long].get\n  val l22 = SELF.R8[Long].get\n  val l23 = box13.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n      coll26(placeholder[Int](18)) == l20\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = func7(placeholder[Int](19))\n  val i27 = OUTPUTS.size\n  val bool28 = box13.R4[Coll[Byte]].get == coll15\n  val box29 = OUTPUTS(placeholder[Int](20))\n  val bool30 = box29.propositionBytes == coll9\n  sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n            val box31 = OUTPUTS(placeholder[Int](23))\n            val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n            if (box31.propositionBytes == coll9) {(\n              val tuple33 = box31.tokens(placeholder[Int](26))\n              ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n            )} else { placeholder[Boolean](30) }\n          )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n            val box31 = OUTPUTS(placeholder[Int](33))\n            val l32 = l10 - box13.value\n            if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n                          val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n                          (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n                        }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n          )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n            val l31 = box13.R7[Long].get\n            (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n            val coll31 = box13.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n           } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n    (\n      if (bool8 && (l12 == placeholder[Long](79))) {\n        if (i27 > placeholder[Int](80)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n                        ) && bool25\n                      ) && (l14 == placeholder[Long](85))\n                    ) && bool28\n                  ) && func24(placeholder[Int](86))\n                ) && (box13.R7[Long].get == placeholder[Long](87))\n              ) && (box13.R8[Long].get == placeholder[Long](88))\n            ) && (box13.R9[Long].get == l21)\n          } else { placeholder[Boolean](89) }\n        } else { placeholder[Boolean](90) }\n      } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n          val box31 = OUTPUTS(placeholder[Int](94))\n          if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n        )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n    ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n      (\n        (\n          (\n            ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n          ) && (box13.R9[Long].get == l21)\n        ) && (l14 == placeholder[Long](118))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n              box29.R8[Long].get == placeholder[Long](120)\n            )\n          ) && (box29.R9[Long].get == l21)\n        ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n      )\n    } else { placeholder[Boolean](123) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "0520",
          "sigmaType": "SLong",
          "renderedValue": "16"
        },
        "R4": {
          "serializedValue": "0e6454696e613a3731636261313a6134633062313a333a353a4d3138342e352c3138352e35513132352c3234362c36352c3138352e3551352c3132352c36352c3634513132352c332c3138342e352c3634513234342c3132352c3138342e352c3138352e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54696e613a3731636261313a6134633062313a333a353a4d3138342e352c3138352e35513132352c3234362c36352c3138352e3551352c3132352c36352c3634513132352c332c3138342e352c3634513234342c3132352c3138342e352c3138352e355a"
        }
      }
    },
    {
      "boxId": "3a257721f3571791e18dd2c31a105fc92ac57de635cd910b0bf2502b5e2a32ba",
      "value": 198000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "be1382ed83a9b01cd54e07a2e3ef39e2d67775a9476f8d7b39f942f6e335e25e",
      "outputTransactionId": "76d467a27606ba9c5bf714393a6b545e681b027b6240f6f59d1c9101004f2abc",
      "outputIndex": 2,
      "outputGlobalIndex": 20099129,
      "outputCreatedAt": 813507,
      "outputSettledAt": 813509,
      "ergoTree": "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",
      "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 bi23 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](25), placeholder[Int](26))), min(l11 + i12.toLong, l16).toBigInt) + min(\n    l19 + i12.toLong, l22\n  ).toBigInt\n  val bi24 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](27), placeholder[Int](28))), min(l16 + i12.toLong, l11).toBigInt) + min(\n    l22 + i12.toLong, l19\n  ).toBigInt\n  val bool25 = bi23 > bi24\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 = bi23 <= bi24\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": "0522",
          "sigmaType": "SLong",
          "renderedValue": "17"
        },
        "R6": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R8": {
          "serializedValue": "0520",
          "sigmaType": "SLong",
          "renderedValue": "16"
        },
        "R7": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R9": {
          "serializedValue": "110402020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,0,0]"
        },
        "R4": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "6ed06fb386f085365dc76b2f1438d353d411d0f53d829009fd68eefefe1f7dad",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "a6d5e071fe8fd6b49c2692daf212486b61b277d67d13d50cfd0942d3d8984377",
      "outputTransactionId": "7fa6d681d9e90fb965c1a6ff36e71271f9d75a581434f432b2d81029523a418a",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201b98435e9b35117360e62e31736e31414dcf72c69089c3b2725adbc670487b6b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1b98435e9b35117360e62e31736e31414dcf72c69089c3b2725adbc670487b6b"
        },
        "R5": {
          "serializedValue": "0e205272bbc8d075266bec108ff9c524b9d2d85c417e7322e34448a4ed9cb2ee238a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5272bbc8d075266bec108ff9c524b9d2d85c417e7322e34448a4ed9cb2ee238a"
        },
        "R6": {
          "serializedValue": "1104148092f4010206",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,2000000,1,3]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "5e2d01460da76c763fad062cd549e286653430559ff739ef83713c850ee6ecd5",
      "transactionId": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
      "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
      "value": 301000000,
      "index": 0,
      "globalIndex": 20099306,
      "creationHeight": 813509,
      "settlementHeight": 813512,
      "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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n      placeholder[Boolean](5)\n    }\n  }\n  val bool8 = func7(placeholder[Int](6))\n  val coll9 = placeholder[SigmaProp](7).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](8))\n  val l12 = SELF.R7[Long].get\n  val box13 = OUTPUTS(placeholder[Int](9))\n  val l14 = box13.tokens(placeholder[Int](10))._2\n  val coll15 = SELF.R4[Coll[Byte]].get\n  val coll16 = SELF.R5[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](11))\n  val l18 = coll16(placeholder[Int](12))\n  val l19 = coll16(placeholder[Int](13))\n  val l20 = coll16(placeholder[Int](14))\n  val l21 = SELF.R9[Long].get\n  val l22 = SELF.R8[Long].get\n  val l23 = box13.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n      coll26(placeholder[Int](18)) == l20\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = func7(placeholder[Int](19))\n  val i27 = OUTPUTS.size\n  val bool28 = box13.R4[Coll[Byte]].get == coll15\n  val box29 = OUTPUTS(placeholder[Int](20))\n  val bool30 = box29.propositionBytes == coll9\n  sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n            val box31 = OUTPUTS(placeholder[Int](23))\n            val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n            if (box31.propositionBytes == coll9) {(\n              val tuple33 = box31.tokens(placeholder[Int](26))\n              ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n            )} else { placeholder[Boolean](30) }\n          )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n            val box31 = OUTPUTS(placeholder[Int](33))\n            val l32 = l10 - box13.value\n            if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n                          val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n                          (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n                        }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n          )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n            val l31 = box13.R7[Long].get\n            (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n            val coll31 = box13.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n           } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n    (\n      if (bool8 && (l12 == placeholder[Long](79))) {\n        if (i27 > placeholder[Int](80)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n                        ) && bool25\n                      ) && (l14 == placeholder[Long](85))\n                    ) && bool28\n                  ) && func24(placeholder[Int](86))\n                ) && (box13.R7[Long].get == placeholder[Long](87))\n              ) && (box13.R8[Long].get == placeholder[Long](88))\n            ) && (box13.R9[Long].get == l21)\n          } else { placeholder[Boolean](89) }\n        } else { placeholder[Boolean](90) }\n      } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n          val box31 = OUTPUTS(placeholder[Int](94))\n          if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n        )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n    ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n      (\n        (\n          (\n            ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n          ) && (box13.R9[Long].get == l21)\n        ) && (l14 == placeholder[Long](118))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n              box29.R8[Long].get == placeholder[Long](120)\n            )\n          ) && (box29.R9[Long].get == l21)\n        ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n      )\n    } else { placeholder[Boolean](123) }\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": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0522",
          "sigmaType": "SLong",
          "renderedValue": "17"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4a7573742053757065723a3837306662363a3736386464313a323a343a4d3232332e352c3134362e35513231342c3136382c3230352e352c313932513139372c3231362c3137322e352c3232312e35513134382c3232372c3133302e352c323032513131332c3137372c38372c3139315136312c3230352c36372c3137372e355137332c3135302c36382c3133372e355136332c3132352c35342c3130352e355134352c38362c35322c36345135392c34322c37382c32335139372c342c3131392e352c32372e35513134322c35312c3136342c3530513138362c34392c3230342c36332e35513232322c37382c3232372e352c3130312e35513233332c3132352c3232332e352c3134362e355a"
        }
      },
      "spentTransactionId": "91ba74b14249851a1e75bdb29439fabb320fcaf14b61e900d900485441012872",
      "mainChain": true
    },
    {
      "boxId": "adc6fd2aeb101c723c951d4ff77e762aa9c20bb2e796c2ee38f028835a0d3e89",
      "transactionId": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
      "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
      "value": 7000000,
      "index": 1,
      "globalIndex": 20099307,
      "creationHeight": 813509,
      "settlementHeight": 813512,
      "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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n      placeholder[Boolean](5)\n    }\n  }\n  val bool8 = func7(placeholder[Int](6))\n  val coll9 = placeholder[SigmaProp](7).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](8))\n  val l12 = SELF.R7[Long].get\n  val box13 = OUTPUTS(placeholder[Int](9))\n  val l14 = box13.tokens(placeholder[Int](10))._2\n  val coll15 = SELF.R4[Coll[Byte]].get\n  val coll16 = SELF.R5[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](11))\n  val l18 = coll16(placeholder[Int](12))\n  val l19 = coll16(placeholder[Int](13))\n  val l20 = coll16(placeholder[Int](14))\n  val l21 = SELF.R9[Long].get\n  val l22 = SELF.R8[Long].get\n  val l23 = box13.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n      coll26(placeholder[Int](18)) == l20\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = func7(placeholder[Int](19))\n  val i27 = OUTPUTS.size\n  val bool28 = box13.R4[Coll[Byte]].get == coll15\n  val box29 = OUTPUTS(placeholder[Int](20))\n  val bool30 = box29.propositionBytes == coll9\n  sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n            val box31 = OUTPUTS(placeholder[Int](23))\n            val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n            if (box31.propositionBytes == coll9) {(\n              val tuple33 = box31.tokens(placeholder[Int](26))\n              ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n            )} else { placeholder[Boolean](30) }\n          )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n            val box31 = OUTPUTS(placeholder[Int](33))\n            val l32 = l10 - box13.value\n            if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n                          val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n                          (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n                        }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n          )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n            val l31 = box13.R7[Long].get\n            (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n            val coll31 = box13.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n           } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n    (\n      if (bool8 && (l12 == placeholder[Long](79))) {\n        if (i27 > placeholder[Int](80)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n                        ) && bool25\n                      ) && (l14 == placeholder[Long](85))\n                    ) && bool28\n                  ) && func24(placeholder[Int](86))\n                ) && (box13.R7[Long].get == placeholder[Long](87))\n              ) && (box13.R8[Long].get == placeholder[Long](88))\n            ) && (box13.R9[Long].get == l21)\n          } else { placeholder[Boolean](89) }\n        } else { placeholder[Boolean](90) }\n      } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n          val box31 = OUTPUTS(placeholder[Int](94))\n          if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n        )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n    ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n      (\n        (\n          (\n            ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n          ) && (box13.R9[Long].get == l21)\n        ) && (l14 == placeholder[Long](118))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n              box29.R8[Long].get == placeholder[Long](120)\n            )\n          ) && (box29.R9[Long].get == l21)\n        ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n      )\n    } else { placeholder[Boolean](123) }\n  )\n}",
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      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020200",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,1,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0520",
          "sigmaType": "SLong",
          "renderedValue": "16"
        },
        "R4": {
          "serializedValue": "0e6454696e613a3731636261313a6134633062313a333a353a4d3138342e352c3138352e35513132352c3234362c36352c3138352e3551352c3132352c36352c3634513132352c332c3138342e352c3634513234342c3132352c3138342e352c3138352e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54696e613a3731636261313a6134633062313a333a353a4d3138342e352c3138352e35513132352c3234362c36352c3138352e3551352c3132352c36352c3634513132352c332c3138342e352c3634513234342c3132352c3138342e352c3138352e355a"
        }
      },
      "spentTransactionId": "ad3a1af7810428301d5ced7c8bcab6583f1026187473597be5e23fb5a0a81646",
      "mainChain": true
    },
    {
      "boxId": "e36d2d54af259647afaa4364277f1e92aef8784b833cc3eb0e71fca18fc10b65",
      "transactionId": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
      "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
      "value": 1000000,
      "index": 2,
      "globalIndex": 20099308,
      "creationHeight": 813509,
      "settlementHeight": 813512,
      "ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
      "address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "12e1fd0ee4099a0f993652b2cc1bf38297824a4752e97484124f4089a24bd957",
      "mainChain": true
    },
    {
      "boxId": "75322e051230e0bc253aaf810bb0a8d1bc32fa006c338512a1ad600369617a3b",
      "transactionId": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
      "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
      "value": 1000000,
      "index": 3,
      "globalIndex": 20099309,
      "creationHeight": 813509,
      "settlementHeight": 813512,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 1,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e30822bbc4bb8ab6abdcd4c3f1f2688e70d8b20be62e41cf7dc8721fbb0f9472",
      "mainChain": true
    },
    {
      "boxId": "e50b798758715bf091d4118e6077a1017b3138ce87d978faf20466807ed4f9fc",
      "transactionId": "6272255ddd7404c78345299f8717eeba6d5681f9e5156e6c959c0791f4405a19",
      "blockId": "f7361b2d822fd471378fdc3c9522de8b43706e5ba61418ed45235352c59da798",
      "value": 2000000,
      "index": 4,
      "globalIndex": 20099310,
      "creationHeight": 813509,
      "settlementHeight": 813512,
      "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": "8c262f29a9e5164f701f4f402f13fbd86e5e31ff3c7f381fc7205927f6967ce5",
      "mainChain": true
    }
  ],
  "size": 4849,
  "isUnconfirmed": false
}