Ad

Transaction

11/12/2022 12:00:02 AM
ID: d29a278cf1...e91d
Inputs (3)
#0
5be8fffd516b...706f
Spent
Address:
z7cSvu92xkgU...8RPr
Output transaction:
93375c0a2e15...a0ad
Settlement height:
872,842
Value:
0.1569 ERG
Tokens:
Loading assets...
#1
f54b5ca63ad1...cc5d
Spent
Address:
z7cSvu92xkgU...8RPr
Output transaction:
93375c0a2e15...a0ad
Settlement height:
872,842
Value:
0.63544 ERG
Tokens:
Loading assets...
#2
8d9f8e498d7c...57a3
Spent
Address:
43wTpd7KMask...TzRq
Output transaction:
93375c0a2e15...a0ad
Settlement height:
872,842
Value:
0.1989 ERG
Tokens:
Loading assets...
Outputs (6)
#0
ff0ec9d7b4b1...3522
Spent
Address:
z7cSvu92xkgU...8RPr
Spent in transaction:
bb8ca1360819...aded
Settlement height:
872,844
Value:
0.3467 ERG
Tokens:
Loading assets...
#1
9f6b75f6ed62...3138
Spent
Address:
z7cSvu92xkgU...8RPr
Spent in transaction:
9a779773b2df...21b8
Settlement height:
872,844
Value:
0.63544 ERG
Tokens:
Loading assets...
#2
3e228ed583b2...d635
Spent
Address:
9g16ZMPo22b3...xxoT
Spent in transaction:
93a1262b941a...f6d7
Settlement height:
872,844
Value:
0.001 ERG
Tokens:
Loading assets...
#3
24e31d446483...8695
Spent
Address:
9hfmJjrmeyhN...Qf87
Spent in transaction:
a7f0ce8a9f2d...5d98
Settlement height:
872,844
Value:
0.001 ERG
Tokens:
Loading assets...
#4
c5cc2122e845...4e11
Spent
Address:
8D7uhEuRYcRF...PJdF
Spent in transaction:
b8a3521ffee3...ee8c
Settlement height:
872,844
Value:
0.006 ERG
#5
1e35581267f3...f6c8
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
cb782fe2f8b1...d566
Settlement height:
872,844
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 5.22 KB
Received time: 11/12/2022 12:00:02 AM
Included in blocks: 872,844
Confirmations: 901,790
Total coins transferred: 0.99124 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000206 ERG
Raw Transaction Data
{
  "id": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
  "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
  "inclusionHeight": 872844,
  "timestamp": 1668211202831,
  "index": 7,
  "globalIndex": 4308726,
  "numConfirmations": 901790,
  "inputs": [
    {
      "boxId": "5be8fffd516b698a1267a1dfa33378413613856d0f006dc1e6102690753e706f",
      "value": 156900000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "6ad2cbd55ef89dc4b07b31266a4bfbcb55bfb890e8ed12d8a40383039de75f84",
      "outputTransactionId": "93375c0a2e15fb599c080c2825774c026c0c47a05351c91d9b3c50d91bafa0ad",
      "outputIndex": 0,
      "outputGlobalIndex": 23524739,
      "outputCreatedAt": 872839,
      "outputSettledAt": 872842,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
          "index": 0,
          "amount": 1,
          "name": "Blob",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "100702020400000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,2,0,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      }
    },
    {
      "boxId": "f54b5ca63ad19814206e2e0948bf4c24644bbb92f404137ed4136da7bfeccc5d",
      "value": 635440000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "6ad2cbd55ef89dc4b07b31266a4bfbcb55bfb890e8ed12d8a40383039de75f84",
      "outputTransactionId": "93375c0a2e15fb599c080c2825774c026c0c47a05351c91d9b3c50d91bafa0ad",
      "outputIndex": 1,
      "outputGlobalIndex": 23524740,
      "outputCreatedAt": 872839,
      "outputSettledAt": 872842,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
          "index": 0,
          "amount": 1,
          "name": "Blob",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "100702020404000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,2,2,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
          "sigmaType": "SSigmaProp",
          "renderedValue": "039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "0504",
          "sigmaType": "SLong",
          "renderedValue": "2"
        },
        "R4": {
          "serializedValue": "0ee80144696e613a6334613066393a6162613034623a343a353a4d3231322c3134352e35513139362c3136362c3136372c313537513133382c3134382c3133312e352c313936513132352c3234342c3130302e352c3232375137362c3231302c36312c3139302e355134362c3137312c35382e352c3134385137312c3132352c37352e352c3131325138302c39392c38362e352c38342e355139332c37302c3130392c3530513132352c33302c3134302c35312e35513135352c37332c3136362e352c38332e35513137382c39342c3230332c3130392e35513232382c3132352c3231322c3134352e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "44696e613a6334613066393a6162613034623a343a353a4d3231322c3134352e35513139362c3136362c3136372c313537513133382c3134382c3133312e352c313936513132352c3234342c3130302e352c3232375137362c3231302c36312c3139302e355134362c3137312c35382e352c3134385137312c3132352c37352e352c3131325138302c39392c38362e352c38342e355139332c37302c3130392c3530513132352c33302c3134302c35312e35513135352c37332c3136362e352c38332e35513137382c39342c3230332c3130392e35513232382c3132352c3231322c3134352e355a"
        }
      }
    },
    {
      "boxId": "8d9f8e498d7c60da6c0a7c55456aa599b7a43bb88f258f49c6929be6365957a3",
      "value": 198900000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "6ad2cbd55ef89dc4b07b31266a4bfbcb55bfb890e8ed12d8a40383039de75f84",
      "outputTransactionId": "93375c0a2e15fb599c080c2825774c026c0c47a05351c91d9b3c50d91bafa0ad",
      "outputIndex": 2,
      "outputGlobalIndex": 23524741,
      "outputCreatedAt": 872839,
      "outputSettledAt": 872842,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 0\n5: 1\n6: 3\n7: CBigInt(-1)\n8: 1\n9: 2\n10: 4\n11: 3\n12: 5\n13: 0\n14: 1\n15: 6\n16: 2\n17: 8\n18: 1\n19: 2\n20: 5\n21: 5\n22: 2\n23: 1\n24: 4\n25: 1\n26: 2\n27: 4\n28: 3\n29: 5\n30: 0\n31: 6\n32: 2\n33: 8\n34: 1\n35: 2\n36: 5\n37: 5\n38: 2\n39: 1\n40: 0\n41: 3\n42: 0\n43: 6\n44: 2\n45: 4\n46: 1\n47: 0\n48: 3\n49: 6\n50: 2\n51: 4\n52: 1\n53: 3\n54: 5\n55: 0\n56: 1\n57: 2\n58: 2\n59: 6\n60: 1000\n61: 1000000\n62: 1\n63: 4\n64: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n66: 3\n67: 2\n68: 0\n69: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n70: 0\n71: 0\n72: false\n73: 0\n74: 0\n75: false\n76: 2\n77: 2000000\n78: 2\n79: 2000000\n80: 2\n81: 2\n82: 0\n83: 1\n84: 1\n85: 1\n86: 0\n87: 0\n88: false\n89: 3\n90: 2\n91: 0\n92: 1\n93: 1\n94: 1\n95: 0\n96: 0\n97: false\n98: 0\n99: 1\n100: 4\n101: 5\n102: 6\n103: 2\n104: 1\n105: 3\n106: 1\n107: 2\n108: 1\n109: 3\n110: false\n111: 0\n112: 1\n113: 4\n114: 5\n115: 6\n116: 2\n117: 1\n118: 3\n119: 1\n120: 2\n121: 1\n122: 3\n123: false\n124: 4\n125: 4\n126: 0\n127: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box2 = OUTPUTS(placeholder[Int](1))\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = coll3(placeholder[Int](2))\n  val prop5 = SELF.R4[SigmaProp].get\n  val box6 = OUTPUTS(placeholder[Int](3))\n  val prop7 = SELF.R7[SigmaProp].get\n  val coll8 = CONTEXT.headers(placeholder[Int](4)).id\n  val bi9 = byteArrayToBigInt(coll8.slice(placeholder[Int](5), placeholder[Int](6)))\n  val bi10 = placeholder[BigInt](7)\n  val coll11 = SELF.R9[Coll[Int]].get\n  val i12 = coll11(placeholder[Int](8))\n  val i13 = coll11(placeholder[Int](9))\n  val coll14 = box1.R6[Coll[Long]].get\n  val i15 = coll11(placeholder[Int](10))\n  val i16 = placeholder[Int](11) * i15\n  val i17 = coll11(placeholder[Int](12))\n  val bool18 = i17 == placeholder[Int](13)\n  val coll19 = box1.R8[Coll[Int]].get\n  val i20 = coll19(placeholder[Int](14))\n  val i21 = coll11(placeholder[Int](15))\n  val i22 = placeholder[Int](16) + placeholder[Int](17) * i17 - placeholder[Int](18) + placeholder[Int](19) * i21\n  val l23 = placeholder[Int](20) * i12 + placeholder[Int](21) * i13.toLong + coll14(i16 + placeholder[Int](22)) + if (bool18) { i20 } else {\n    coll19(i22 + placeholder[Int](23))\n  }.toLong\n  val coll24 = box1.R5[Coll[Long]].get\n  val l25 = coll24(placeholder[Int](24))\n  val coll26 = SELF.R6[Coll[Int]].get\n  val i27 = coll26(placeholder[Int](25))\n  val i28 = coll26(placeholder[Int](26))\n  val i29 = coll26(placeholder[Int](27))\n  val i30 = placeholder[Int](28) * i29\n  val i31 = coll26(placeholder[Int](29))\n  val bool32 = i31 == placeholder[Int](30)\n  val i33 = coll26(placeholder[Int](31))\n  val i34 = placeholder[Int](32) + placeholder[Int](33) * i31 - placeholder[Int](34) + placeholder[Int](35) * i33\n  val l35 = placeholder[Int](36) * i27 + placeholder[Int](37) * i28.toLong + coll14(i30 + placeholder[Int](38)) + if (bool32) { i20 } else {\n    coll19(i34 + placeholder[Int](39))\n  }.toLong\n  val i36 = coll11(placeholder[Int](40))\n  val i37 = coll11(placeholder[Int](41))\n  val i38 = coll19(placeholder[Int](42))\n  val l39 = placeholder[Int](43) * i36 + placeholder[Int](44) * i13 + placeholder[Int](45) * i37.toLong + coll14(i16 + placeholder[Int](46)) + if (bool18) {\n    i38\n  } else { coll19(i22) }.toLong\n  val i40 = coll26(placeholder[Int](47))\n  val i41 = coll26(placeholder[Int](48))\n  val l42 = placeholder[Int](49) * i40 + placeholder[Int](50) * i28 + placeholder[Int](51) * i41.toLong + coll14(i30 + placeholder[Int](52)) + if (bool32) {\n    i38\n  } else { coll19(i34) }.toLong\n  val bi43 = max(max(bi9, bi10 * bi9), min(l23 + l25, l35).toBigInt) + min(l39 + l25, l42).toBigInt\n  val bi44 = byteArrayToBigInt(coll8.slice(placeholder[Int](53), placeholder[Int](54)))\n  val bi45 = max(max(bi44, bi10 * bi44), min(l35 + l25, l23).toBigInt) + min(l42 + l25, l39).toBigInt\n  val bool46 = bi43 > bi45\n  val l47 = INPUTS(placeholder[Int](55)).value\n  val l48 = coll24(placeholder[Int](56))\n  val l49 = placeholder[Long](57) * SELF.value + l48 / placeholder[Long](58)\n  val l50 = max(l49 * coll24(placeholder[Int](59)) / placeholder[Long](60), placeholder[Long](61))\n  val l51 = INPUTS(placeholder[Int](62)).value\n  val bool52 = bi43 <= bi45\n  val bool53 = OUTPUTS.size > placeholder[Int](63)\n  val coll54 = placeholder[Coll[Byte]](64)\n  val coll55 = placeholder[Coll[Byte]](65)\n  val l56 = coll24(placeholder[Int](66))\n  val l57 = coll24(placeholder[Int](67))\n  val opt58 = box2.R5[Coll[Int]]\n  val opt59 = box6.R5[Coll[Int]]\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](68))._1 == placeholder[Coll[Byte]](69), if (blake2b256(box2.propositionBytes) == coll4) {\n          (((box2.R6[SigmaProp].get == prop5) && (box2.R7[Long].get == placeholder[Long](70))) && (box2.R8[Long].get == placeholder[Long](71))) && (\n            box2.R9[Long].get == SELF.R5[Long].get\n          )\n        } else { placeholder[Boolean](72) }, if (blake2b256(box6.propositionBytes) == coll4) {\n          (((box6.R6[SigmaProp].get == prop7) && (box6.R7[Long].get == placeholder[Long](73))) && (box6.R8[Long].get == placeholder[Long](74))) && (\n            box6.R9[Long].get == SELF.R8[Long].get\n          )\n        } else { placeholder[Boolean](75) }, !(SELF.creationInfo._1 == box2.creationInfo._1), anyOf(\n          Coll[Boolean](\n            (bool46 && (box2.value == l47 + l49 - placeholder[Long](76) * l48 - placeholder[Long](77) - l50)) && (box6.value == l51), (\n              bool52 && (box2.value == l47)\n            ) && (box6.value == l51 + l49 - placeholder[Long](78) * l48 - placeholder[Long](79) - l50)\n          )\n        ), if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](80))\n          (\n            (\n              (\n                ((box60.propositionBytes == prop5.propBytes) && (box60.tokens.size == placeholder[Int](81))) && (\n                  box60.tokens(placeholder[Int](82))._1 == coll54\n                )\n              ) && (box60.tokens(placeholder[Int](83))._1 == coll55)\n            ) && (box60.tokens(placeholder[Int](84))._2 == placeholder[Long](85))\n          ) && ((bool46 && (box60.tokens(placeholder[Int](86))._2 == l56)) || (bool52 && (box60.tokens(placeholder[Int](87))._2 == l57)))\n        )} else { placeholder[Boolean](88) }, if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](89))\n          (\n            (\n              (\n                ((box60.propositionBytes == prop7.propBytes) && (box60.tokens.size == placeholder[Int](90))) && (\n                  box60.tokens(placeholder[Int](91))._1 == coll54\n                )\n              ) && (box60.tokens(placeholder[Int](92))._1 == coll55)\n            ) && (box60.tokens(placeholder[Int](93))._2 == placeholder[Long](94))\n          ) && ((bool46 && (box60.tokens(placeholder[Int](95))._2 == l57)) || (bool52 && (box60.tokens(placeholder[Int](96))._2 == l56)))\n        )} else { placeholder[Boolean](97) }, if (opt58.isDefined) {(\n          val coll60 = opt58.get\n          (\n            (\n              (((coll60(placeholder[Int](98)) == i40) && (coll60(placeholder[Int](99)) == i27)) && (coll60(placeholder[Int](100)) == i29)) && (\n                coll60(placeholder[Int](101)) == i31\n              )\n            ) && (coll60(placeholder[Int](102)) == i33)\n          ) && (\n            ((bool46 && (coll60(placeholder[Int](103)) == i28 + placeholder[Int](104))) && (coll60(placeholder[Int](105)) == i41 + placeholder[Int](106))) || (\n              (bool52 && (coll60(placeholder[Int](107)) == i28 + placeholder[Int](108))) && (coll60(placeholder[Int](109)) == i41)\n            )\n          )\n        )} else { placeholder[Boolean](110) }, if (opt59.isDefined) {(\n          val coll60 = opt59.get\n          (\n            (\n              (((coll60(placeholder[Int](111)) == i36) && (coll60(placeholder[Int](112)) == i12)) && (coll60(placeholder[Int](113)) == i15)) && (\n                coll60(placeholder[Int](114)) == i17\n              )\n            ) && (coll60(placeholder[Int](115)) == i21)\n          ) && (\n            ((bool52 && (coll60(placeholder[Int](116)) == i13 + placeholder[Int](117))) && (coll60(placeholder[Int](118)) == i37 + placeholder[Int](119))) || (\n              (bool46 && (coll60(placeholder[Int](120)) == i13 + placeholder[Int](121))) && (coll60(placeholder[Int](122)) == i37)\n            )\n          )\n        )} else { placeholder[Boolean](123) }, if (bool53) {(\n          val box60 = OUTPUTS(placeholder[Int](124))\n          ((blake2b256(box60.propositionBytes) == coll3(placeholder[Int](125))) && (box60.value >= l50)) && (box60.tokens.size == placeholder[Int](126))\n        )} else { placeholder[Boolean](127) }\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
          "index": 0,
          "amount": 2,
          "name": "Blob",
          "decimals": 0,
          "type": "EIP-004"
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        {
          "tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
          "index": 1,
          "amount": 4,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
          "index": 2,
          "amount": 2,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R6": {
          "serializedValue": "100702020400000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,2,0,0,0,0]"
        },
        "R8": {
          "serializedValue": "0504",
          "sigmaType": "SLong",
          "renderedValue": "2"
        },
        "R7": {
          "serializedValue": "08cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
          "sigmaType": "SSigmaProp",
          "renderedValue": "039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
        },
        "R9": {
          "serializedValue": "100702020404000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,2,2,0,0,0]"
        },
        "R4": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "2665da9d7b8d03c588fdf78238293bb57217b9502122542bfcbac3af82a71bfb",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "cda25e439d516cf38aa996abd68852a3625549d875fb1dcebf33a2b6aa885505",
      "outputTransactionId": "400bb24181fd9e1dc890562e2c558cad0296c2fbd1312f47097a8a074f2742e2",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110a0ac0a386010206c8338084af5f3c8084af5f043c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5,1100000,1,3,3300,100000000,30,100000000,2,30]"
        },
        "R6": {
          "serializedValue": "110c0000322832c8016464a006c801c801d00f",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
        },
        "R8": {
          "serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
        },
        "R7": {
          "serializedValue": "1104142864c801",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,20,50,100]"
        },
        "R4": {
          "serializedValue": "1a0720579b10d730905385f7a0aff25b3abe7efcb24484bc023a6343331140cc838e522074cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8202f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d4720e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3200b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade020340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed9020607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[579b10d730905385f7a0aff25b3abe7efcb24484bc023a6343331140cc838e52,74cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8,2f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d47,e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3,0b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade0,340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed90,607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "ff0ec9d7b4b17086027a588a4b143c2716875c7ebfd31c9b18502fa06afb3522",
      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 346700000,
      "index": 0,
      "globalIndex": 23524766,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
          "index": 0,
          "amount": 2,
          "name": "Blob",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "100702020602000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,3,1,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      },
      "spentTransactionId": "bb8ca1360819df1aa923a2d25617cae631bc8e4f115ddefceadf49703241aded",
      "mainChain": true
    },
    {
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      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 635440000,
      "index": 1,
      "globalIndex": 23524767,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = blake2b256(box3.propositionBytes)\n  val coll5 = box1.R4[Coll[Coll[Byte]]].get\n  val coll6 = coll5(placeholder[Int](2))\n  val coll7 = placeholder[Coll[Byte]](3)\n  val coll8 = box1.R5[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val l10 = placeholder[Long](5) + l9\n  val bool11 = if (coll4 == coll6) {(\n    val coll11 = box3.tokens\n    ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n  )} else { placeholder[Boolean](8) }\n  val coll12 = coll5(placeholder[Int](9))\n  val l13 = SELF.value\n  val l14 = coll8(placeholder[Int](10))\n  val coll15 = box3.tokens\n  val box16 = OUTPUTS(placeholder[Int](11))\n  val coll17 = box16.propositionBytes\n  val l18 = SELF.R7[Long].get\n  val coll19 = placeholder[SigmaProp](12).propBytes\n  val l20 = SELF.R9[Long].get\n  val coll21 = SELF.R4[Coll[Byte]].get\n  val bool22 = if (bool11) {\n    (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n      box3.R6[SigmaProp].get == prop2\n    )\n  } else { placeholder[Boolean](15) }\n  val coll23 = SELF.R5[Coll[Int]].get\n  val l24 = box3.value\n  val i25 = coll15.size\n  val bool26 = l24 == l13\n  val l27 = box3.R7[Long].get\n  val coll28 = blake2b256(coll17)\n  val bool29 = if (coll28 == coll6) {(\n    val coll29 = box16.tokens\n    ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n  )} else { placeholder[Boolean](18) }\n  val i30 = OUTPUTS.size\n  val coll31 = box16.tokens\n  val i32 = coll23(placeholder[Int](19))\n  val i33 = coll23(placeholder[Int](20))\n  val i34 = coll23(placeholder[Int](21))\n  val i35 = coll23(placeholder[Int](22))\n  val i36 = coll23(placeholder[Int](23))\n  val coll37 = box1.R7[Coll[Long]].get\n  val l38 = SELF.R8[Long].get\n  val l39 = coll15(placeholder[Int](24))._2\n  val bool40 = box3.R9[Long].get == l20\n  sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n            if (coll4 == coll12) {(\n              val tuple42 = coll15(placeholder[Int](29))\n              ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n            )} else { placeholder[Boolean](31) }\n          )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n            val l41 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n          )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l41 = box3.R7[Long].get\n            if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n              val tuple42 = coll15(placeholder[Int](42))\n              (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n            )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n          )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n            val coll41 = box3.R5[Coll[Int]].get\n            val i42 = coll41(placeholder[Int](65))\n            (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n                val i43 = coll41(placeholder[Int](84))\n                ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n              )\n           } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](97))) {\n          if (i30 > placeholder[Int](98)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n                              OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n                        ) && bool26\n                      ) && (l39 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && bool40\n            } else { placeholder[Boolean](106) }\n          } else { placeholder[Boolean](107) }\n        } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n          if (i30 >= placeholder[Int](110)) {\n            if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n              blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n            } else { placeholder[Boolean](115) }\n          } else { placeholder[Boolean](116) }\n        } else { placeholder[Boolean](117) }\n      ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n        (bool22 && (l27 == placeholder[Long](119))) || (\n          (\n            (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n              box16.R9[Long].get == l20\n            )\n          ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n        )\n      } else { placeholder[Boolean](123) }\n    ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n      (\n        (\n          (\n            (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n              box3.R4[Coll[Byte]].get == coll21\n            )\n          ) && (box3.R5[Coll[Int]].get == coll23)\n        ) && (box3.R6[SigmaProp].get == prop2)\n      ) && (\n        (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n          ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n        )\n      )\n    } else { placeholder[Boolean](136) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
          "index": 0,
          "amount": 2,
          "name": "Blob",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "100702020604000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,3,2,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
          "sigmaType": "SSigmaProp",
          "renderedValue": "039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0504",
          "sigmaType": "SLong",
          "renderedValue": "2"
        },
        "R4": {
          "serializedValue": "0ee80144696e613a6334613066393a6162613034623a343a353a4d3231322c3134352e35513139362c3136362c3136372c313537513133382c3134382c3133312e352c313936513132352c3234342c3130302e352c3232375137362c3231302c36312c3139302e355134362c3137312c35382e352c3134385137312c3132352c37352e352c3131325138302c39392c38362e352c38342e355139332c37302c3130392c3530513132352c33302c3134302c35312e35513135352c37332c3136362e352c38332e35513137382c39342c3230332c3130392e35513232382c3132352c3231322c3134352e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "44696e613a6334613066393a6162613034623a343a353a4d3231322c3134352e35513139362c3136362c3136372c313537513133382c3134382c3133312e352c313936513132352c3234342c3130302e352c3232375137362c3231302c36312c3139302e355134362c3137312c35382e352c3134385137312c3132352c37352e352c3131325138302c39392c38362e352c38342e355139332c37302c3130392c3530513132352c33302c3134302c35312e35513135352c37332c3136362e352c38332e35513137382c39342c3230332c3130392e35513232382c3132352c3231322c3134352e355a"
        }
      },
      "spentTransactionId": "9a779773b2dfb01b597ae32f0a0c06203a2aef6ceb66328f6f6b6d4d8b0f21b8",
      "mainChain": true
    },
    {
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      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 1000000,
      "index": 2,
      "globalIndex": 23524768,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
      "address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
      "assets": [
        {
          "tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
          "index": 1,
          "amount": 1,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "93a1262b941a3f4a596ebf4c73f8678b743911d4b9ca06eb6ccf7de2c2d8f6d7",
      "mainChain": true
    },
    {
      "boxId": "24e31d44648350f1c1f787d758dfd6d917e35d6acc840032d523d3a0a6a28695",
      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 1000000,
      "index": 3,
      "globalIndex": 23524769,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
      "address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
      "assets": [
        {
          "tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
          "index": 0,
          "amount": 1,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
          "index": 1,
          "amount": 1,
          "name": "Spicy Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "a7f0ce8a9f2d33f19829ecf1688d0cba7c91f9974fff17f4134636abf5585d98",
      "mainChain": true
    },
    {
      "boxId": "c5cc2122e845bbf62bbafd38f5e9fe1704e01f1ab749f8e8d127c824832f4e11",
      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 6000000,
      "index": 4,
      "globalIndex": 23524770,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 7\n2: 1\n3: 2\n4: 20\n5: 0\n6: 4\n7: 0\n8: 10\n9: 0\n10: 1\n11: false\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n15: 3\n16: 0\n17: 5\n18: 1\n19: 0\n20: Coll(-79,11,0,2,-3,-120,11,-113,63,-117,94,91,36,80,-56,-18,-67,-92,-56,80,82,-59,74,111,-14,-69,-71,-111,-117,-21,-85,36)\n21: 0\n22: 1\n23: 0\n24: 0\n25: 1\n26: 6\n27: 2\n28: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i2 = OUTPUTS.size\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = box1.R5[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](1))\n  val l6 = coll4(placeholder[Int](2))\n  val bool7 = if (i2 == placeholder[Int](3)) {\n    (\n      (\n        ((INPUTS.size >= placeholder[Int](4)) && (blake2b256(OUTPUTS(placeholder[Int](5)).propositionBytes) == coll3(placeholder[Int](6)))) && (\n          OUTPUTS(placeholder[Int](7)).value > l5 / placeholder[Long](8)\n        )\n      ) && (OUTPUTS(placeholder[Int](9)).value <= l5)\n    ) && (OUTPUTS(placeholder[Int](10)).value == l6)\n  } else { placeholder[Boolean](11) }\n  placeholder[SigmaProp](12) || sigmaProp(\n    (box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14)) && (bool7 || if ((!bool7) && (i2 == placeholder[Int](15))) {(\n        val box8 = OUTPUTS(placeholder[Int](16))\n        ((((((((blake2b256(box8.propositionBytes) == coll3(placeholder[Int](17))) && (box8.value >= l5)) && (box8.tokens.size == placeholder[Int](18))) && (box8.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20))) && (box8.tokens(placeholder[Int](21))._2 == placeholder[Long](22))) && (box8.R9[Long].get == placeholder[Long](23))) && (box8.R8[Long].get == placeholder[Long](24))) && (blake2b256(OUTPUTS(placeholder[Int](25)).propositionBytes) == coll3(placeholder[Int](26)))) && (OUTPUTS(placeholder[Int](27)).value == l6)\n      )} else { placeholder[Boolean](28) })\n  )\n}",
      "address": "8D7uhEuRYcRFf82xTaXN4ZLce1Dnr8XaXnNxYb9xvXU8A8r6iAeoUzBm2yF1f8ePLkUMQurFXYVkSALgFHdS7xRcfWwCRtqyYLLeUxqXr9edAxRLd23ZdQxwtHAsTtCGKPGMm2T1fs3mrM8aNWFGNcf1yRtYErmX4PxLVXzR16vSEHYZXfPNgok9vJbFCQ2hCUbo2p5uHkhmAJ4HC1MLYQHDQeibagg97kYHyjQShCeUU6mTabAFdgGuviQY9S2bsrjEFxxppen74VNJYjdXk7veo6pse6RnqrMtzFUA8vwChyMsgkxxsovCuWmxSc6BjEABZBeTR8PUsaAVjtGYsMrpAjFA18vLK8aPyHFp9Ft58nZPMQjPXapjUhX6uynWzRSgku4fqVGkFifAphqJM4Ugk92KfXynPWMaAQxGDkzNR1eTfTBLifhi1PNH47HVgSBRrxFkwrUunvEtvm98xWnVJ15VwkLfVkJ1ATGaA11GqChNFic8xgQxErmn1vUU1YBfF8hj1AaFpcdKxGhAv8erSGA1LxBRM2VLrynM8XUhhoY4Bh6wdhyocPJdF",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b8a3521ffee3a9db97ed8b81b147767342395aeb045d2023a0317c80dca9ee8c",
      "mainChain": true
    },
    {
      "boxId": "1e35581267f332f2aa073e692725db4979c186ec98694eaa49b018c228ecf6c8",
      "transactionId": "d29a278cf140b7ed5cca2e2de48193629735be5614226b144a0aeec5de01e91d",
      "blockId": "be6e280dd2ff5c1ddaf5c2c4f4a4bd62ec2dcf806748bd158f61551aa814ea8d",
      "value": 1100000,
      "index": 5,
      "globalIndex": 23524771,
      "creationHeight": 872842,
      "settlementHeight": 872844,
      "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": "cb782fe2f8b16761b3f1069899cee25e4ebb54ad3f9dc0f9e180ce72dcabd566",
      "mainChain": true
    }
  ],
  "size": 5350,
  "isUnconfirmed": false
}