Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.01 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 2.77 KB
Received time: 9/21/2022 10:03:15 AM
Included in blocks: 843,138
Confirmations: 926,013
Total coins transferred: 0.011 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000388 ERG
Raw Transaction Data
{
  "id": "cc00ff7ad6a09b786a68cca67573ddd5f92b07ee04921f770309dfa8da0d9a9b",
  "blockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
  "inclusionHeight": 843138,
  "timestamp": 1663754595126,
  "index": 21,
  "globalIndex": 4059474,
  "numConfirmations": 926013,
  "inputs": [
    {
      "boxId": "379b2bd39a0b06cfc390ca3a6f32be9f8239c9471779088d7550ec3733ae82ca",
      "value": 10000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
      "outputTransactionId": "cf4ec05b0ebbe7c4080d8340dbd20fde418dc7aeb1d75c9563c37b84c7cb8f7f",
      "outputIndex": 0,
      "outputGlobalIndex": 21909267,
      "outputCreatedAt": 843136,
      "outputSettledAt": 843138,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n4: 0\n5: 1\n6: 0\n7: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n8: 2\n9: false\n10: false\n11: false\n12: 0\n13: false\n14: 0\n15: false",
      "ergoTreeScript": "{\n  val prop1 = SELF.R5[SigmaProp].get\n  val box2 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = box3.tokens\n  val opt5 = box3.R4[Coll[Byte]]\n  val opt6 = box3.R6[SigmaProp]\n  val opt7 = box3.R7[Long]\n  val opt8 = box3.R8[Long]\n  prop1 || sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (box2.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (\n                    blake2b256(box3.propositionBytes) == box2.R4[Coll[Coll[Byte]]].get(placeholder[Int](4))\n                  )\n                ) && if (coll4.size == placeholder[Int](5)) {(\n                  val tuple9 = coll4(placeholder[Int](6))\n                  (tuple9._1 == placeholder[Coll[Byte]](7)) && (tuple9._2 == placeholder[Long](8))\n                )} else { placeholder[Boolean](9) }\n              ) && if (opt5.isDefined) { opt5.get == SELF.R4[Coll[Byte]].get } else { placeholder[Boolean](10) }\n            ) && box3.R5[Coll[Int]].isDefined\n          ) && if (opt6.isDefined) { opt6.get == prop1 } else { placeholder[Boolean](11) }\n        ) && if (opt7.isDefined) { opt7.get == placeholder[Long](12) } else { placeholder[Boolean](13) }\n      ) && if (opt8.isDefined) { opt8.get == placeholder[Long](14) } else { placeholder[Boolean](15) }\n    ) && box3.R9[Long].isDefined\n  )\n}",
      "address": "JU9roWEGs4Dt1o6E2zcbmmodjht9BS6SYfrDxc2Md8TYGDHKMKNGzJVv1QvYANfSDnnANCEW7NqjjQrp3NfkPBbHPKyvgPaQa8tFydV4MBVSWLxe5qDmaD4x41ofQEaSsg6RmnA6a7CTKMA6am11oWsD25nAUWyHLwnMwRMv2yrZUAQNUtdKeAdmEfDSYgmzvwQTxbYnRZbnLLniKgLLb636LofEBLYYipjBGG9RLctDpBN7GWzfEkMmcSeWxU4DfPcCmGcrctshkYu8ktJ1jrdd8cTC9658fYS3FPZDKmY8rpvBWL2eNViTGPKmUDMrFbEtN4FqsEazoBKZ5QBXjvwUR1uTNeuUZdaE4pcarG8ZDhaDsfgxn7nYr3tDMfyPSXDZLkqBB6HA4nV7ysgvjkcMic7Ro",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
        },
        "R5": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        }
      }
    },
    {
      "boxId": "8b1d702e1e58784aeb806f56a2c2f29f0b13acfd93142d71f669fb166262a49e",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "f0daab944419be3f3a5901ef72f845655f02148fb1f968c4d5b3a569fbfa1f1e",
      "outputTransactionId": "d5007380ae77f123f5fd73032ce4b2da7a60d8282bab20f2a0709f09a3cdf36a",
      "outputIndex": 1,
      "outputGlobalIndex": 21832828,
      "outputCreatedAt": 842457,
      "outputSettledAt": 842459,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 1\n6: 0\n7: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n8: 0\n9: 0\n10: 2\n11: 0\n12: 0\n13: 1\n14: false\n15: 1\n16: 0\n17: 0\n18: 0\n19: 2\n20: 0\n21: 0\n22: 1\n23: 1\n24: false\n25: 2\n26: 2\n27: 0\n28: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n  val box3 = OUTPUTS(placeholder[Int](2))\n  val coll4 = placeholder[Coll[Byte]](3)\n  val coll5 = SELF.R5[Coll[Int]].get\n  val l6 = SELF.R7[Long].get\n  val l7 = SELF.value\n  val coll8 = SELF.R6[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val box10 = OUTPUTS(placeholder[Int](5))\n  prop1 || sigmaProp(\n    (\n      (\n        (box2.tokens(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7)) && if (blake2b256(box3.propositionBytes) == box2.R4[Coll[Coll[Byte]]].get(\n          placeholder[Int](8)\n        )) {(\n          val tuple11 = box3.tokens(placeholder[Int](9))\n          (\n            (\n              (\n                ((((tuple11._1 == coll4) && (tuple11._2 == placeholder[Long](10))) && (box3.R5[Coll[Int]].get == coll5)) && box3.R6[SigmaProp].isDefined) && (\n                  box3.R7[Long].get == placeholder[Long](11)\n                )\n              ) && (box3.R8[Long].get == placeholder[Long](12))\n            ) && (box3.R9[Long].get == l6)\n          ) && (box3.value >= l7 - l9 - box2.R5[Coll[Long]].get(placeholder[Int](13)))\n        )} else { placeholder[Boolean](14) }\n      ) && if (box10.propositionBytes == SELF.propositionBytes) {\n        (\n          (\n            (\n              (\n                (\n                  (\n                    ((box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get) && (box10.tokens.size == placeholder[Int](15))) && (\n                      box10.tokens(placeholder[Int](16))._1 == coll4\n                    )\n                  ) && (box10.tokens(placeholder[Int](17))._2 == SELF.tokens(placeholder[Int](18))._2 - placeholder[Long](19))\n                ) && (box10.value == l7)\n              ) && (box10.R5[Coll[Int]].get == coll5)\n            ) && (box10.R6[Coll[Long]].get(placeholder[Int](20)) == coll8(placeholder[Int](21)))\n          ) && (box10.R6[Coll[Long]].get(placeholder[Int](22)) == l9)\n        ) && (box10.R7[Long].get == l6 + placeholder[Long](23))\n      } else { placeholder[Boolean](24) }\n    ) && if (OUTPUTS.size > placeholder[Int](25)) {(\n      val box11 = OUTPUTS(placeholder[Int](26))\n      ((box11.value >= l9) && (box11.propositionBytes == prop1.propBytes)) && (box11.tokens.size == placeholder[Int](27))\n    )} else { placeholder[Boolean](28) }\n  )\n}",
      "address": "5QoYwmwcm25XwK1bhCyLsisTPDqLiKrSA5zBwnr1r8EqzbSyJJ4nmPDzb6qkMvEmTumwHCcpUY3zGF72qLPYv274a3qZS2YYrnQtSg7ubehVnrrCVUn6d3oL65TWMCADaZMEkcLE9zdMrssc8vVX6qm913SzCUuPus7AcM7LuXbpmj9bUZNbxgoBTqaUtJiQGaqjipQZbN4LWdSypGFtYRLLizGGxcSSHpuxsfj1hT22GVYWyF4giYNgRQxm9JcvLS3Qr1WyHFabwjPotLYBsqGrb3C7hVWQLswM8NgYonT1am4gfYtSPBE6op48qV671XWNWHqRFTp8wHSjiTpntQNeukF1bRf1Sqb1Wwxb6kMLiwudoVH4BrVrBVMdLPTV6KkpjMvj6ec6yVCwDR16A4Vv4ZViBGD7m7B7E81j7V1Zcry9QLRLXcWMmR646DXGDh6EtoiFf53XVyx2JAewwPhojYJPzyHmeZE9k7hZJTuodngUQS53Dp2F9a7MgJQfu672YqTawi8rin27Rr4CoCnXiPbXMqn599jzjXu3Y6zE5rAn73rFpL7ciSksYePVPLuzB1DKp64KKCXzXgFCxvGj2QkADV11NRE2PEaPebyPH3H2NyrZSnQob7QC2weBm6FL3NFq1PEPP53NapPr4iVrwKQeiZZyXgytfT3Cf4faSXH4jVbTCPfMyHXNv1WZf2EUasbKEgZK9zHWhmyhvonzUwxwPySBa",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 94,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e0472657332",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "72657332"
        },
        "R5": {
          "serializedValue": "100702020000000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,0,0,0,0,0]"
        },
        "R6": {
          "serializedValue": "110280dac40980897a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000,1000000]"
        },
        "R7": {
          "serializedValue": "056a",
          "sigmaType": "SLong",
          "renderedValue": "53"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "b688fbb9c29be71b450842c2369a5e074d15a5fef7f707fb7134eef6935ed699",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "3af60dc5808452df751057c59d1f13746a638c9880f6276960a7e600cb949967",
      "outputTransactionId": "f3f22501bd604f1ad805bbececabf878a529774be3e8e95c76f481ef5030dcd4",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110a0ac0a386010206c83380897a3c8084af5f040a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,5]"
        },
        "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": "1a06201b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0207a8494a4a5bacf7d71967a77ad251711ba8fe10da2be11e251f55313e8b4b14220e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f20a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946207de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0,7a8494a4a5bacf7d71967a77ad251711ba8fe10da2be11e251f55313e8b4b142,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946,7de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "2b48b566a262d43c0e6c89da842f55794e4baf8fd06371d7138f9fa86559f7a7",
      "transactionId": "cc00ff7ad6a09b786a68cca67573ddd5f92b07ee04921f770309dfa8da0d9a9b",
      "blockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
      "value": 7900000,
      "index": 0,
      "globalIndex": 21909361,
      "creationHeight": 843136,
      "settlementHeight": 843138,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\n61: 1\n62: 0\n63: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 0\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: 1\n127: 5\n128: 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  sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n            val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n            if (coll4 == coll12) {(\n              val tuple40 = coll15(placeholder[Int](28))\n              ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n            )} else { placeholder[Boolean](30) }\n          )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n            val l39 = l13 - box3.value\n            if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n          )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n            val l39 = box3.R7[Long].get\n            if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n              val tuple40 = coll15(placeholder[Int](41))\n              (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n            )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n          )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n            val coll39 = box3.R5[Coll[Int]].get\n            val i40 = coll39(placeholder[Int](64))\n            (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n                val i41 = coll39(placeholder[Int](83))\n                ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n              )\n           } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n    (\n      (\n        if (bool11 && (l18 == placeholder[Long](96))) {\n          if (i30 > placeholder[Int](97)) {\n            if (coll17 == coll19) {\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n                              OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n                        ) && bool26\n                      ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n                    ) && (box3.R4[Coll[Byte]].get == coll21)\n                  ) && (box3.R5[Coll[Int]].get == coll23)\n                ) && (l27 == placeholder[Long](105))\n              ) && (box3.R9[Long].get == l20)\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)))) {\n      blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n    } else { placeholder[Boolean](128) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "100702020000000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,0,0,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "056a",
          "sigmaType": "SLong",
          "renderedValue": "53"
        },
        "R4": {
          "serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
        }
      },
      "spentTransactionId": "3a5d7a23f9dda3b024ce6ad97150c0c62ac5bfdd4183500136ac0bde18b0e817",
      "mainChain": true
    },
    {
      "boxId": "f7d8be5f9fc5ad9c2d6c306bc3e02fcf22d7df067c0840b9893e52015bfc8837",
      "transactionId": "cc00ff7ad6a09b786a68cca67573ddd5f92b07ee04921f770309dfa8da0d9a9b",
      "blockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
      "value": 1000000,
      "index": 1,
      "globalIndex": 21909362,
      "creationHeight": 843136,
      "settlementHeight": 843138,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 1\n6: 0\n7: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n8: 0\n9: 0\n10: 2\n11: 0\n12: 0\n13: 1\n14: false\n15: 1\n16: 0\n17: 0\n18: 0\n19: 2\n20: 0\n21: 0\n22: 1\n23: 1\n24: false\n25: 2\n26: 2\n27: 0\n28: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n  val box3 = OUTPUTS(placeholder[Int](2))\n  val coll4 = placeholder[Coll[Byte]](3)\n  val coll5 = SELF.R5[Coll[Int]].get\n  val l6 = SELF.R7[Long].get\n  val l7 = SELF.value\n  val coll8 = SELF.R6[Coll[Long]].get\n  val l9 = coll8(placeholder[Int](4))\n  val box10 = OUTPUTS(placeholder[Int](5))\n  prop1 || sigmaProp(\n    (\n      (\n        (box2.tokens(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7)) && if (blake2b256(box3.propositionBytes) == box2.R4[Coll[Coll[Byte]]].get(\n          placeholder[Int](8)\n        )) {(\n          val tuple11 = box3.tokens(placeholder[Int](9))\n          (\n            (\n              (\n                ((((tuple11._1 == coll4) && (tuple11._2 == placeholder[Long](10))) && (box3.R5[Coll[Int]].get == coll5)) && box3.R6[SigmaProp].isDefined) && (\n                  box3.R7[Long].get == placeholder[Long](11)\n                )\n              ) && (box3.R8[Long].get == placeholder[Long](12))\n            ) && (box3.R9[Long].get == l6)\n          ) && (box3.value >= l7 - l9 - box2.R5[Coll[Long]].get(placeholder[Int](13)))\n        )} else { placeholder[Boolean](14) }\n      ) && if (box10.propositionBytes == SELF.propositionBytes) {\n        (\n          (\n            (\n              (\n                (\n                  (\n                    ((box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get) && (box10.tokens.size == placeholder[Int](15))) && (\n                      box10.tokens(placeholder[Int](16))._1 == coll4\n                    )\n                  ) && (box10.tokens(placeholder[Int](17))._2 == SELF.tokens(placeholder[Int](18))._2 - placeholder[Long](19))\n                ) && (box10.value == l7)\n              ) && (box10.R5[Coll[Int]].get == coll5)\n            ) && (box10.R6[Coll[Long]].get(placeholder[Int](20)) == coll8(placeholder[Int](21)))\n          ) && (box10.R6[Coll[Long]].get(placeholder[Int](22)) == l9)\n        ) && (box10.R7[Long].get == l6 + placeholder[Long](23))\n      } else { placeholder[Boolean](24) }\n    ) && if (OUTPUTS.size > placeholder[Int](25)) {(\n      val box11 = OUTPUTS(placeholder[Int](26))\n      ((box11.value >= l9) && (box11.propositionBytes == prop1.propBytes)) && (box11.tokens.size == placeholder[Int](27))\n    )} else { placeholder[Boolean](28) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 92,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e0472657332",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "72657332"
        },
        "R5": {
          "serializedValue": "100702020000000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,0,0,0,0,0]"
        },
        "R6": {
          "serializedValue": "110280dac40980897a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000,1000000]"
        },
        "R7": {
          "serializedValue": "056c",
          "sigmaType": "SLong",
          "renderedValue": "54"
        }
      },
      "spentTransactionId": "eac06c948f84b0b4db4fa41a85dc4181e21628aeaa599001dfedf8836cb7eedf",
      "mainChain": true
    },
    {
      "boxId": "355e292dcd242e5ecb15e4fd07d3b98e94075a71f93671f4c0427f051e4d6b7a",
      "transactionId": "cc00ff7ad6a09b786a68cca67573ddd5f92b07ee04921f770309dfa8da0d9a9b",
      "blockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
      "value": 1000000,
      "index": 2,
      "globalIndex": 21909363,
      "creationHeight": 843136,
      "settlementHeight": 843138,
      "ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
      "address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "ed80cbe370b505ef5e7eb1477dcead700272032dce73a7e976ae7c2086185048",
      "mainChain": true
    },
    {
      "boxId": "b008884b2546e722d23ac6bec8046f15ecef113249b11b00946fd0955728b3f9",
      "transactionId": "cc00ff7ad6a09b786a68cca67573ddd5f92b07ee04921f770309dfa8da0d9a9b",
      "blockId": "4c3eeb86421583c883ef89dc94d9ad52c22ef1c72097b9b6505d1c482c772386",
      "value": 1100000,
      "index": 3,
      "globalIndex": 21909364,
      "creationHeight": 843136,
      "settlementHeight": 843138,
      "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": "a12c5fa4780522148dbaf96458eed07db4e2dc948285212662f26cff7e747a09",
      "mainChain": true
    }
  ],
  "size": 2835,
  "isUnconfirmed": false
}