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Transaction

8/4/2022 10:58:16 AM
ID: 193cb2e05d...1808
Inputs (4)
#0
af72e4581abd...5af7
Spent
Address:
7ML6CWKuTA3A...M8m1
Output transaction:
608c0d85f632...f3a2
Settlement height:
808,288
Value:
0.015 ERG
Tokens:
Loading assets...
#1
300fec6e004c...191f
Spent
Address:
7ML6CWKuTA3A...M8m1
Output transaction:
608c0d85f632...f3a2
Settlement height:
808,288
Value:
0.007 ERG
Tokens:
Loading assets...
#2
a8adfb3263df...9cc9
Spent
Address:
Ca5Xao4wSnUS...KMaK
Output transaction:
608c0d85f632...f3a2
Settlement height:
808,288
Value:
0.198 ERG
Tokens:
Loading assets...
#3
f12a1f053766...95b3
Spent
Address:
9g16ZMPo22b3...xxoT
Output transaction:
59165d6695fd...6494
Settlement height:
804,653
Value:
0.29599 ERG
Outputs (6)
#0
e1dc6f6dab2e...562e
Spent
Address:
7ML6CWKuTA3A...M8m1
Spent in transaction:
a0728af01811...ea99
Settlement height:
808,294
Value:
0.211 ERG
Tokens:
Loading assets...
#1
19df415e5ddb...3fa7
Spent
Address:
7ML6CWKuTA3A...M8m1
Spent in transaction:
b6c89c4282d7...26dd
Settlement height:
808,294
Value:
0.007 ERG
Tokens:
Loading assets...
#2
c6b97b83854f...7eee
Spent
Address:
9ezcf4GFUNVr...1pt1
Spent in transaction:
9df021af29f2...7c8f
Settlement height:
808,294
Value:
0.001 ERG
Tokens:
Loading assets...
#3
f331af8cfb79...aeb3
Spent
Address:
9g16ZMPo22b3...xxoT
Spent in transaction:
41e2db22fb56...db16
Settlement height:
808,294
Value:
0.001 ERG
Tokens:
Loading assets...
#4
484e1d42aa7f...a80c
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
1fdb298b7a85...3e79
Settlement height:
808,294
Value:
0.002 ERG
#5
0328ca6c5ba8...766a
Spent
Address:
9g16ZMPo22b3...xxoT
Spent in transaction:
b6c89c4282d7...26dd
Settlement height:
808,294
Value:
0.29399 ERG
Transaction Details
Status: Confirmed
Size: 5.42 KB
Received time: 8/4/2022 10:58:16 AM
Included in blocks: 808,294
Confirmations: 966,812
Total coins transferred: 0.51599 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000361 ERG
Raw Transaction Data
{
  "id": "193cb2e05d03a7d0ee3496d34873fe5fb2af6015e0c35decc3634dc31dec1808",
  "blockId": "de78cf023fdd9fe43fc846e8529d6ae0911d02a65b7583395b5956a38c50b12f",
  "inclusionHeight": 808294,
  "timestamp": 1659610696154,
  "index": 6,
  "globalIndex": 3682559,
  "numConfirmations": 966812,
  "inputs": [
    {
      "boxId": "af72e4581abd0f9aba5611084b4933b56e9ff93c2a1ff23664b6f382c3445af7",
      "value": 15000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "8b50c2b464c2d0c3ffeae3a3d91c1bba545693bac8e84c3537f2424fc2ab1fd8",
      "outputTransactionId": "608c0d85f6324d56704019a665c8ec0428b147c664a11ea591b13f7ff44ef3a2",
      "outputIndex": 0,
      "outputGlobalIndex": 19832767,
      "outputCreatedAt": 808286,
      "outputSettledAt": 808288,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,2,1]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R4": {
          "serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
        }
      }
    },
    {
      "boxId": "300fec6e004cfec41841b7959fb1de9ac9eec6b0f77db85036dc60af26e8191f",
      "value": 7000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "8b50c2b464c2d0c3ffeae3a3d91c1bba545693bac8e84c3537f2424fc2ab1fd8",
      "outputTransactionId": "608c0d85f6324d56704019a665c8ec0428b147c664a11ea591b13f7ff44ef3a2",
      "outputIndex": 1,
      "outputGlobalIndex": 19832768,
      "outputCreatedAt": 808286,
      "outputSettledAt": 808288,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 1,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020400",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,2,0]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "0506",
          "sigmaType": "SLong",
          "renderedValue": "3"
        },
        "R9": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      }
    },
    {
      "boxId": "a8adfb3263dfbe76f066e87bc9d0da6d202b37dfdca2a31e4b6ea346aa599cc9",
      "value": 198000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "8b50c2b464c2d0c3ffeae3a3d91c1bba545693bac8e84c3537f2424fc2ab1fd8",
      "outputTransactionId": "608c0d85f6324d56704019a665c8ec0428b147c664a11ea591b13f7ff44ef3a2",
      "outputIndex": 2,
      "outputGlobalIndex": 19832769,
      "outputCreatedAt": 808286,
      "outputSettledAt": 808288,
      "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: 5\n27: 5\n28: 9\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: 2\n48: 2\n49: 2\n50: 1\n51: 0\n52: 0\n53: 0\n54: false\n55: 3\n56: 1\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 1\n63: 2\n64: 1\n65: 3\n66: 1\n67: 0\n68: 1\n69: 2\n70: 1\n71: 3\n72: false\n73: 0\n74: 1\n75: 2\n76: 1\n77: 3\n78: 1\n79: 0\n80: 1\n81: 2\n82: 1\n83: 3\n84: 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)) && (box5.value == l30), (\n              bool31 && (box2.value == l29)\n            ) && (box5.value == l30 + placeholder[Long](47) * l28 - placeholder[Long](48) * l27)\n          )\n        ), if (bool32) {(\n          val box38 = OUTPUTS(placeholder[Int](49))\n          (\n            ((box38.propositionBytes == prop4.propBytes) && (box38.tokens.size == placeholder[Int](50))) && (box38.tokens(placeholder[Int](51))._1 == coll33)\n          ) && ((bool25 && (box38.tokens(placeholder[Int](52))._2 == l34)) || (bool31 && (box38.tokens(placeholder[Int](53))._2 == l35)))\n        )} else { placeholder[Boolean](54) }, if (bool32) {(\n          val box38 = OUTPUTS(placeholder[Int](55))\n          (\n            ((box38.propositionBytes == prop6.propBytes) && (box38.tokens.size == placeholder[Int](56))) && (box38.tokens(placeholder[Int](57))._1 == coll33)\n          ) && ((bool25 && (box38.tokens(placeholder[Int](58))._2 == l35)) || (bool31 && (box38.tokens(placeholder[Int](59))._2 == l34)))\n        )} else { placeholder[Boolean](60) }, if (opt36.isDefined) {(\n          val coll38 = opt36.get\n          anyOf(\n            Coll[Boolean](\n              (\n                ((bool25 && (coll38(placeholder[Int](61)) == l20)) && (coll38(placeholder[Int](62)) == l14)) && (\n                  coll38(placeholder[Int](63)) == l15 + placeholder[Long](64)\n                )\n              ) && (coll38(placeholder[Int](65)) == l21 + placeholder[Long](66)), (\n                ((bool31 && (coll38(placeholder[Int](67)) == l20)) && (coll38(placeholder[Int](68)) == l14)) && (\n                  coll38(placeholder[Int](69)) == l15 + placeholder[Long](70)\n                )\n              ) && (coll38(placeholder[Int](71)) == l21)\n            )\n          )\n        )} else { placeholder[Boolean](72) }, if (opt37.isDefined) {(\n          val coll38 = opt37.get\n          anyOf(\n            Coll[Boolean](\n              (\n                ((bool31 && (coll38(placeholder[Int](73)) == l17)) && (coll38(placeholder[Int](74)) == l9)) && (\n                  coll38(placeholder[Int](75)) == l10 + placeholder[Long](76)\n                )\n              ) && (coll38(placeholder[Int](77)) == l18 + placeholder[Long](78)), (\n                ((bool25 && (coll38(placeholder[Int](79)) == l17)) && (coll38(placeholder[Int](80)) == l9)) && (\n                  coll38(placeholder[Int](81)) == l10 + placeholder[Long](82)\n                )\n              ) && (coll38(placeholder[Int](83)) == l18)\n            )\n          )\n        )} else { placeholder[Boolean](84) }\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 1,
          "amount": 4,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R6": {
          "serializedValue": "110402020402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,2,1]"
        },
        "R8": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R7": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R9": {
          "serializedValue": "110402020400",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,2,0]"
        },
        "R4": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        }
      }
    },
    {
      "boxId": "f12a1f053766429ed4b8c80ea5e7f485ac019a7462e05e35fb02c5d2c1c195b3",
      "value": 295990000,
      "index": 3,
      "spendingProof": "65777a671b091e1e59fb9d36214ce9f049efcce57fe8b5ff0b5c3c332ad76e68ce92de2e1989d5fa9cbf67a5924670521cd8b2b3b304900c",
      "outputBlockId": "0e081689245f6879189420a3a98562a155001eaf896a4c1d4adfdb5dcf2e36f0",
      "outputTransactionId": "59165d6695fd0733988f7dc378127cd8d665b5335eaf524888d6fa2c99d36494",
      "outputIndex": 1,
      "outputGlobalIndex": 19639123,
      "outputCreatedAt": 804651,
      "outputSettledAt": 804653,
      "ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
      "address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "3e7d3e3d80087f810a5b5c156d1e9e375f0f56306f4884603ab79112026f35fc",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "1bdc14e5e1b86855f3cb65a2c8d45e432987245782b3b17393d1d1f1ad9713d3",
      "outputTransactionId": "b5ae73bdd7dbce798f1d615666c0a2012863b61db4d5646bccae3cc63198bfeb",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2077e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "77e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a"
        },
        "R5": {
          "serializedValue": "0e20c670784331b1aa1ac3998d0591ca18d2dd1e5ca1253cd0d2fcae812dbf8d593a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c670784331b1aa1ac3998d0591ca18d2dd1e5ca1253cd0d2fcae812dbf8d593a"
        },
        "R6": {
          "serializedValue": "1104148092f4010206",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10,2000000,1,3]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "e1dc6f6dab2e7228af59744f777a7f40aaf20541dfa254a0143886b69bd7562e",
      "transactionId": "193cb2e05d03a7d0ee3496d34873fe5fb2af6015e0c35decc3634dc31dec1808",
      "blockId": "de78cf023fdd9fe43fc846e8529d6ae0911d02a65b7583395b5956a38c50b12f",
      "value": 211000000,
      "index": 0,
      "globalIndex": 19832907,
      "creationHeight": 808288,
      "settlementHeight": 808294,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020604",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,3,2]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "050c",
          "sigmaType": "SLong",
          "renderedValue": "6"
        },
        "R4": {
          "serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
        }
      },
      "spentTransactionId": "a0728af01811af645bed580530c9e88849450da2ddee4833ac1a963263b5ea99",
      "mainChain": true
    },
    {
      "boxId": "19df415e5ddba2ccfad5071f9e1c6729d78652e842da9bfa28b0426a56c43fa7",
      "transactionId": "193cb2e05d03a7d0ee3496d34873fe5fb2af6015e0c35decc3634dc31dec1808",
      "blockId": "de78cf023fdd9fe43fc846e8529d6ae0911d02a65b7583395b5956a38c50b12f",
      "value": 7000000,
      "index": 1,
      "globalIndex": 19832908,
      "creationHeight": 808288,
      "settlementHeight": 808294,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = placeholder[Coll[Byte]](1)\n  val coll4 = box1.R6[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](2))\n  val l6 = placeholder[Long](3) + l5\n  val func7 = {(i7: Int) =>\n    val box9 = OUTPUTS(i7)\n    if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n      val coll10 = box9.tokens\n      if (coll10.size == placeholder[Int](4)) {(\n        val tuple11 = coll10(placeholder[Int](5))\n        (\n          (\n            (\n              (\n                (\n                  (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n                    box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n                  )\n                ) && box9.R6[SigmaProp].isDefined\n              ) && box9.R7[Long].isDefined\n            ) && box9.R8[Long].isDefined\n          ) && box9.R9[Long].isDefined\n        ) && (box9.value >= l6)\n      )} else { placeholder[Boolean](8) }\n    )} else { placeholder[Boolean](9) }\n  }\n  val bool8 = func7(placeholder[Int](10))\n  val coll9 = placeholder[SigmaProp](11).propBytes\n  val l10 = SELF.value\n  val l11 = coll4(placeholder[Int](12))\n  val l12 = SELF.R7[Long].get\n  val l13 = SELF.R8[Long].get\n  val box14 = OUTPUTS(placeholder[Int](13))\n  val coll15 = box14.tokens\n  val coll16 = SELF.R4[Coll[Byte]].get\n  val coll17 = SELF.R5[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](14))\n  val l19 = coll17(placeholder[Int](15))\n  val l20 = coll17(placeholder[Int](16))\n  val l21 = coll17(placeholder[Int](17))\n  val l22 = SELF.R9[Long].get\n  val l23 = box14.value\n  val func24 = {(i24: Int) =>\n    val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n    (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n      coll26(placeholder[Int](21)) == l21\n    )\n  }\n  val bool25 = l23 == l10\n  val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n    (\n      (\n        (\n          (\n            ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n          ) && (box14.R6[SigmaProp].get == prop2)\n        ) && (box14.R7[Long].get == placeholder[Long](27))\n      ) && (box14.R8[Long].get == placeholder[Long](28))\n    ) && (box14.R9[Long].get == l22)\n  } else { placeholder[Boolean](29) }\n  val bool27 = func7(placeholder[Int](30))\n  val bool28 = box14.R4[Coll[Byte]].get == coll16\n  val box29 = OUTPUTS(placeholder[Int](31))\n  val bool30 = box29.propositionBytes == coll9\n  val i31 = OUTPUTS.size\n  sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n    (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n            val box32 = OUTPUTS(placeholder[Int](35))\n            val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n            if (box32.propositionBytes == coll9) {(\n              val coll34 = box32.tokens\n              (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n            )} else { placeholder[Boolean](44) }\n          )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n              val box32 = OUTPUTS(placeholder[Int](49))\n              val l33 = box14.value\n              val l34 = l10 - l33\n              if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n                            val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n                            (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n                          }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n            )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n            val l32 = box14.R7[Long].get\n            (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n           } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n      if (i31 > placeholder[Int](74)) {\n        if (bool30) {\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n                            box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n                          )\n                        ) && (box14.R6[SigmaProp].get == prop2)\n                      ) && (box14.R7[Long].get == placeholder[Long](77))\n                    ) && (box14.R8[Long].get == placeholder[Long](78))\n                  ) && (box14.R9[Long].get == l22)\n                ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n              ) && (box29.tokens.size == placeholder[Int](81))\n            ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n          ) && \n            val coll32 = box14.R5[Coll[Long]].get\n            box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n          \n        } else { placeholder[Boolean](87) }\n      } else { placeholder[Boolean](88) }\n    } else { placeholder[Boolean](89) }\n  ) || sigmaProp(\n    (\n      if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n        if (i31 > placeholder[Int](91)) {\n          if (bool30) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n                              ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n                            ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n                          ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n                        ) && bool25\n                      ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n                    ) && bool28\n                  ) && func24(placeholder[Int](101))\n                ) && (box14.R7[Long].get == placeholder[Long](102))\n              ) && (box14.R8[Long].get == placeholder[Long](103))\n            ) && (box14.R9[Long].get == l22)\n          } else { placeholder[Boolean](104) }\n        } else { placeholder[Boolean](105) }\n      } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n          val box32 = OUTPUTS(placeholder[Int](109))\n          if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n        )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n    ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n      (\n        (\n          (\n            ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n          ) && (box14.R9[Long].get == l22)\n        ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n      ) || (\n        (\n          (\n            (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n              box29.R8[Long].get == placeholder[Long](137)\n            )\n          ) && (box29.R9[Long].get == l22)\n        ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n      )\n    } else { placeholder[Boolean](140) }\n  )\n}",
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      "assets": [
        {
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          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110402020600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,1,3,0]"
        },
        "R6": {
          "serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R4": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        }
      },
      "spentTransactionId": "b6c89c4282d7f8fb924456651603737af48e9702cd4e2fa129df54bb7da626dd",
      "mainChain": true
    },
    {
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      "globalIndex": 19832909,
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      "settlementHeight": 808294,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [
        {
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          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
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      "additionalRegisters": {},
      "spentTransactionId": "9df021af29f224e1c400c1ef95005be3ad4285b953ab4bb01d03428af3907c8f",
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    },
    {
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      "index": 3,
      "globalIndex": 19832910,
      "creationHeight": 808288,
      "settlementHeight": 808294,
      "ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
      "address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 1,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {},
      "spentTransactionId": "41e2db22fb560c87f55a83fa0fe59ac474a8287c40a12c5525ba993b9e56db16",
      "mainChain": true
    },
    {
      "boxId": "484e1d42aa7f31f203db789222f157722932366bcb760d52ef36fbd4fd5ea80c",
      "transactionId": "193cb2e05d03a7d0ee3496d34873fe5fb2af6015e0c35decc3634dc31dec1808",
      "blockId": "de78cf023fdd9fe43fc846e8529d6ae0911d02a65b7583395b5956a38c50b12f",
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      "creationHeight": 808288,
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      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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      "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)}",
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      "additionalRegisters": {},
      "spentTransactionId": "1fdb298b7a85fa9d8c41cb10c341ee994fa0c1a10a19eb66d08b87bdbabc3e79",
      "mainChain": true
    },
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      "value": 293990000,
      "index": 5,
      "globalIndex": 19832912,
      "creationHeight": 808291,
      "settlementHeight": 808294,
      "ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
      "address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b6c89c4282d7f8fb924456651603737af48e9702cd4e2fa129df54bb7da626dd",
      "mainChain": true
    }
  ],
  "size": 5545,
  "isUnconfirmed": false
}