Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
145 ERG
Output transaction:
Settlement height:
Value:
140 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
145 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
140 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.61 KB
Received time: 4/19/2022 02:06:59 PM
Included in blocks: 731,633
Confirmations: 1,031,747
Total coins transferred: 285 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000606 ERG
Raw Transaction Data
{
  "id": "5ef040dfacac4e55f522a403673953339e293f0e5a83f12502b9ca42837fa533",
  "blockId": "8224a8857191014faf7a98698b3114117a6641fc00b663a10dc17c5661e12240",
  "inclusionHeight": 731633,
  "timestamp": 1650377219985,
  "index": 20,
  "globalIndex": 3021822,
  "numConfirmations": 1031747,
  "inputs": [
    {
      "boxId": "f5c91d07354c4352c045b10b40fd1f6d1f5236631a99927638fe06873525ac85",
      "value": 145001000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "8224a8857191014faf7a98698b3114117a6641fc00b663a10dc17c5661e12240",
      "outputTransactionId": "677dc249cd7e8ab2356aebaa421b0aff247f7c2eaa41203b5ac579df5999414c",
      "outputIndex": 0,
      "outputGlobalIndex": 15730281,
      "outputCreatedAt": 731631,
      "outputSettledAt": 731633,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(7824a1,8d50eb,...)))\n1: 0\n2: 1\n3: Coll(4,-27,-10,32,-20,37,-67,64,-40,99,49,-58,112,-3,11,-48,42,-101,2,85,31,64,65,-57,14,-74,-53,-100,81,60,118,75)\n4: 3\n5: 0\n6: true\n7: 0\n8: 145000000000\n9: 0\n10: 1\n11: Coll()\n12: 145000000000\n13: 0\n14: 2000000\n15: 2\n16: 1650376908226",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = OUTPUTS(placeholder[Int](1))\n  sigmaProp(\n    (\n      (\n        (\n          ((INPUTS(INPUTS.size - placeholder[Int](2)).id == placeholder[Coll[Byte]](3)) && (OUTPUTS.size == placeholder[Int](4))) && (\n            OUTPUTS(placeholder[Int](5)).R5[Coll[Byte]].get == prop1.propBytes\n          )\n        ) && ((placeholder[Boolean](6) && (OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8))) || \n            val tuple3 = OUTPUTS(placeholder[Int](9)).tokens(placeholder[Int](10))\n            (tuple3._1 == placeholder[Coll[Byte]](11)) && (tuple3._2 == placeholder[Long](12))\n          )\n      ) || (\n        (\n          (box2.value >= INPUTS.fold(placeholder[Long](13), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](14)) && (\n            box2.propositionBytes == prop1.propBytes\n          )\n        ) && (OUTPUTS.size == placeholder[Int](15))\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](16))\n  )\n}",
      "address": "2NekJj2ixSJYDsnUKLU3kh3tzPn5jScUxn7NnrVciMvkdwGkTBnJtruE6CWAZwgoYU1s1YYPCKh5AnPTcW3EXZ9TKM6MknzdNbQhUMJJnn41U3BLM9vwRraY2DpPKv9nFHQQyWrtojFGRidCKvJDh1prq2oNQw4ftGLWuX5ugMLhzagdFSnAm6gfFmE7jzYd1ZV2obaoCXUVZ22RAePGdzMtQ9j4jWHNJY2t98QxxbwpNg44ivuRWmWmkCuD33YGvCrpFjp2rhAJ5esR97aS1QscC68w88CfXxeoDQoiJjsRLnAo3joQAxnYNoC6ZCzFjy6yHKruEKX1XDUnGmidyhFrtac5yr58KbL6GWG",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "04e5f620ec25bd40d86331c670fd0bd02a9b02551f4041c70eb6cb9c513c764b",
      "value": 140000000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "440ee9d762b9876adebd902d7feaf2e2274aeb442470fe0479ca5ec9be348f22",
      "outputTransactionId": "0a1d902bfff3f2250851849ab9db4c1a7226bc75477a9d81b90a412775ac24dd",
      "outputIndex": 0,
      "outputGlobalIndex": 15705912,
      "outputCreatedAt": 731133,
      "outputSettledAt": 731135,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 2\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: -1\n14: 1\n15: 0\n16: 1000\n17: 3\n18: 2\n19: 1\n20: 0\n21: 0\n22: 1000\n23: 0\n24: 4\n25: 3\n26: 0\n27: 0\n28: 0\n29: 2\n30: 0\n31: 1\n32: 0\n33: 1\n34: 0\n35: 0\n36: 2\n37: 0\n38: 0\n39: 4\n40: 5\n41: 2\n42: 0\n43: 0\n44: 0\n45: 0\n46: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = CONTEXT.preHeader.timestamp\n  val l3 = SELF.R7[Long].get\n  val coll4 = SELF.tokens\n  val i5 = coll4.size\n  val coll6 = if (i5 > placeholder[Int](1)) { coll4(placeholder[Int](2))._1 } else { Coll[Byte]() }\n  val bool7 = coll6.size == placeholder[Int](3)\n  val func8 = {(box8: Box) => if (bool7) { box8.value } else {(\n      val coll10 = box8.tokens\n      val i11 = coll10.size\n      if ((i11 == placeholder[Int](4)) && (coll10(placeholder[Int](5))._1 == coll6)) { coll10(placeholder[Int](6))._2 } else { if ((i11 == placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)) { coll10(placeholder[Int](9))._2 } else { placeholder[Long](10) } }\n    )} }\n  val l9 = func8(SELF)\n  val coll10 = SELF.R6[Coll[Long]].get\n  val l11 = coll10(placeholder[Int](11))\n  val l12 = coll10(placeholder[Int](12))\n  val l13 = SELF.R8[Long].get\n  val bool14 = l13 != placeholder[Long](13)\n  val box15 = OUTPUTS(placeholder[Int](14))\n  val coll16 = SELF.R5[Coll[Byte]].get\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val box18 = CONTEXT.dataInputs(placeholder[Int](15))\n  val coll19 = box18.R7[Coll[Long]].get\n  val bool20 = l2 >= l3\n  val l21 = l9 * box18.R4[Int].get.toLong / placeholder[Long](16)\n  val i22 = OUTPUTS.size\n  val box23 = if (i22 < placeholder[Int](17)) { SELF } else { OUTPUTS(placeholder[Int](18)) }\n  val opt24 = box15.R4[Box]\n  val box25 = if (opt24.isDefined) { opt24.get } else { OUTPUTS(i22 - placeholder[Int](19)) }\n  val opt26 = box25.R4[Int]\n  val l27 = l9 * if (opt26.isDefined) { max(opt26.get, placeholder[Int](20)) } else { placeholder[Int](21) }.toLong / placeholder[Long](22)\n  val l28 = box18.R6[Long].get\n  val bool29 = l27 == placeholder[Long](23)\n  val box30 = if (i22 < placeholder[Int](24)) { SELF } else { OUTPUTS(placeholder[Int](25)) }\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (((box1.value >= SELF.value) && (l2 < l3)) && (box1.tokens(placeholder[Int](26)) == coll4(placeholder[Int](27)))) && (\n                                      ((func8(box1) >= l9 + l11) || (l9 < l12)) || (bool14 && (func8(box1) >= l13))\n                                    )\n                                  ) && (func8(box1) >= l12)\n                                ) && (box1.propositionBytes == SELF.propositionBytes)\n                              ) && (i5 == box1.tokens.size)\n                            ) && (box15.propositionBytes == coll16)\n                          ) && (func8(box15) >= l9)\n                        ) && (box1.R4[Coll[Byte]].get == coll17)\n                      ) && (box1.R5[Coll[Byte]].get.size > placeholder[Int](28))\n                    ) && (box1.R6[Coll[Long]].get.size == placeholder[Int](29))\n                  ) && (box1.R6[Coll[Long]].get(placeholder[Int](30)) == l12)\n                ) && (box1.R6[Coll[Long]].get(placeholder[Int](31)) == l11)\n              ) && (box1.R7[Long].get == if (l3 - l2 <= coll19(placeholder[Int](32))) { l3 + coll19(placeholder[Int](33)) } else { l3 })\n            ) && (box1.R8[Long].get == l13)\n          ) && (box1.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])\n        ) || (\n          (\n            (\n              (\n                (\n                  (\n                    (((bool20 || ((l9 >= l13) && bool14)) && (func8(box15) >= l21)) && (box15.propositionBytes == box18.R5[Coll[Byte]].get)) && (\n                      box1.tokens(placeholder[Int](34)) == coll4(placeholder[Int](35))\n                    )\n                  ) && (box1.propositionBytes == coll16)\n                ) && (func8(box23) >= l9 - l21 - l27 - if (bool7) { l28 * placeholder[Long](36) } else { placeholder[Long](37) })\n              ) && (box23.propositionBytes == coll17)\n            ) && (\n              bool29 || (\n                ((blake2b256(box25.bytes) == coll4(placeholder[Int](38))._1) && (func8(box30) >= l27)) && (box30.propositionBytes == box25.propositionBytes)\n              )\n            )\n          ) && (i22 == if (bool29) { placeholder[Int](39) } else { placeholder[Int](40) })\n        )\n      ) || (\n        (\n          ((((l9 < l12) && bool20) && (i22 == placeholder[Int](41))) && (box1.tokens(placeholder[Int](42)) == coll4(placeholder[Int](43)))) && (\n            box1.propositionBytes == coll17\n          )\n        ) && (func8(box1) >= l9 - if (bool7) { l28 } else { placeholder[Long](44) })\n      )\n    ) && (box18.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "7db78aadc5f477b68be0e2e2e480f6db96aa4fd31f5ac4ba08fdc625a9f411fd",
          "index": 0,
          "amount": 1,
          "name": "Mr Feelgood #PET_023_420SP",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c"
        },
        "R6": {
          "serializedValue": "110280b09dc2df0180c8afa025",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[30000000000,5000000000]"
        },
        "R8": {
          "serializedValue": "0580a09b9fb918",
          "sigmaType": "SLong",
          "renderedValue": "420000000000"
        },
        "R7": {
          "serializedValue": "05808393938960",
          "sigmaType": "SLong",
          "renderedValue": "1650495480000"
        },
        "R9": {
          "serializedValue": "0ec9027b22696e697469616c426964223a33303030303030303030302c22737461727454696d65223a313635303238343532353139302c226465736372697074696f6e223a22f09f8d84343230205370656369616c2032303232f09f8d8420457665727920626964646572206765747320783120726166666c6520656e7472793b20783320696620686f6c64696e6720612073312f733220676e6f6d652077686f7365205472696265206973205c2248657262616c6973745c2220f09f8d8450617373207468652053706c6966663a2040313220616d205554432c207468652068696768657374206269646465722077696c6c20737465616c20783120656e7472792066726f6d2065766572796f6e6520656c736520f09f8d84343230206d6572636820746f20626520726166666c6564207c204552476e6f6d657320627920466f656e6963756c756d227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        },
        "R4": {
          "serializedValue": "0e240008cd038afb35d0522f1f4920a100b181b027a40049c2268a7ba2a74d5f8671705b74d4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd038afb35d0522f1f4920a100b181b027a40049c2268a7ba2a74d5f8671705b74d4"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "2b279868a56f51c1ae9d9722a7049502dfae64ebc9626909b602a505da65d0b9",
      "value": 15000000,
      "index": 0,
      "outputBlockId": "56e9873647636a562eec0a0ac395aac4d1a34582aae693d038a29e16f451b0d0",
      "outputTransactionId": "daf8f761404b7dfb0d293048d240319c829140d531546686071d66dc8a19aa8b",
      "outputIndex": 0,
      "ergoTree": "0008cd02d84d2e1ca735ce23f224bd43cd43ed67053356713a8a6920965b3bde933648dc",
      "address": "9gAKeRu1W4Dh6adWXnnYmfqjCTnxnSMtym2LPPMPErCkusCd6F3",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
        },
        "R6": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "d09734c2ddad935707bdc2fa95c875cac4b5d948078f24d385c667e8b9be7abd",
      "transactionId": "5ef040dfacac4e55f522a403673953339e293f0e5a83f12502b9ca42837fa533",
      "blockId": "8224a8857191014faf7a98698b3114117a6641fc00b663a10dc17c5661e12240",
      "value": 145000000000,
      "index": 0,
      "globalIndex": 15730309,
      "creationHeight": 731631,
      "settlementHeight": 731633,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 2\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: -1\n14: 1\n15: 0\n16: 1000\n17: 3\n18: 2\n19: 1\n20: 0\n21: 0\n22: 1000\n23: 0\n24: 4\n25: 3\n26: 0\n27: 0\n28: 0\n29: 2\n30: 0\n31: 1\n32: 0\n33: 1\n34: 0\n35: 0\n36: 2\n37: 0\n38: 0\n39: 4\n40: 5\n41: 2\n42: 0\n43: 0\n44: 0\n45: 0\n46: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = CONTEXT.preHeader.timestamp\n  val l3 = SELF.R7[Long].get\n  val coll4 = SELF.tokens\n  val i5 = coll4.size\n  val coll6 = if (i5 > placeholder[Int](1)) { coll4(placeholder[Int](2))._1 } else { Coll[Byte]() }\n  val bool7 = coll6.size == placeholder[Int](3)\n  val func8 = {(box8: Box) => if (bool7) { box8.value } else {(\n      val coll10 = box8.tokens\n      val i11 = coll10.size\n      if ((i11 == placeholder[Int](4)) && (coll10(placeholder[Int](5))._1 == coll6)) { coll10(placeholder[Int](6))._2 } else { if ((i11 == placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)) { coll10(placeholder[Int](9))._2 } else { placeholder[Long](10) } }\n    )} }\n  val l9 = func8(SELF)\n  val coll10 = SELF.R6[Coll[Long]].get\n  val l11 = coll10(placeholder[Int](11))\n  val l12 = coll10(placeholder[Int](12))\n  val l13 = SELF.R8[Long].get\n  val bool14 = l13 != placeholder[Long](13)\n  val box15 = OUTPUTS(placeholder[Int](14))\n  val coll16 = SELF.R5[Coll[Byte]].get\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val box18 = CONTEXT.dataInputs(placeholder[Int](15))\n  val coll19 = box18.R7[Coll[Long]].get\n  val bool20 = l2 >= l3\n  val l21 = l9 * box18.R4[Int].get.toLong / placeholder[Long](16)\n  val i22 = OUTPUTS.size\n  val box23 = if (i22 < placeholder[Int](17)) { SELF } else { OUTPUTS(placeholder[Int](18)) }\n  val opt24 = box15.R4[Box]\n  val box25 = if (opt24.isDefined) { opt24.get } else { OUTPUTS(i22 - placeholder[Int](19)) }\n  val opt26 = box25.R4[Int]\n  val l27 = l9 * if (opt26.isDefined) { max(opt26.get, placeholder[Int](20)) } else { placeholder[Int](21) }.toLong / placeholder[Long](22)\n  val l28 = box18.R6[Long].get\n  val bool29 = l27 == placeholder[Long](23)\n  val box30 = if (i22 < placeholder[Int](24)) { SELF } else { OUTPUTS(placeholder[Int](25)) }\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (((box1.value >= SELF.value) && (l2 < l3)) && (box1.tokens(placeholder[Int](26)) == coll4(placeholder[Int](27)))) && (\n                                      ((func8(box1) >= l9 + l11) || (l9 < l12)) || (bool14 && (func8(box1) >= l13))\n                                    )\n                                  ) && (func8(box1) >= l12)\n                                ) && (box1.propositionBytes == SELF.propositionBytes)\n                              ) && (i5 == box1.tokens.size)\n                            ) && (box15.propositionBytes == coll16)\n                          ) && (func8(box15) >= l9)\n                        ) && (box1.R4[Coll[Byte]].get == coll17)\n                      ) && (box1.R5[Coll[Byte]].get.size > placeholder[Int](28))\n                    ) && (box1.R6[Coll[Long]].get.size == placeholder[Int](29))\n                  ) && (box1.R6[Coll[Long]].get(placeholder[Int](30)) == l12)\n                ) && (box1.R6[Coll[Long]].get(placeholder[Int](31)) == l11)\n              ) && (box1.R7[Long].get == if (l3 - l2 <= coll19(placeholder[Int](32))) { l3 + coll19(placeholder[Int](33)) } else { l3 })\n            ) && (box1.R8[Long].get == l13)\n          ) && (box1.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])\n        ) || (\n          (\n            (\n              (\n                (\n                  (\n                    (((bool20 || ((l9 >= l13) && bool14)) && (func8(box15) >= l21)) && (box15.propositionBytes == box18.R5[Coll[Byte]].get)) && (\n                      box1.tokens(placeholder[Int](34)) == coll4(placeholder[Int](35))\n                    )\n                  ) && (box1.propositionBytes == coll16)\n                ) && (func8(box23) >= l9 - l21 - l27 - if (bool7) { l28 * placeholder[Long](36) } else { placeholder[Long](37) })\n              ) && (box23.propositionBytes == coll17)\n            ) && (\n              bool29 || (\n                ((blake2b256(box25.bytes) == coll4(placeholder[Int](38))._1) && (func8(box30) >= l27)) && (box30.propositionBytes == box25.propositionBytes)\n              )\n            )\n          ) && (i22 == if (bool29) { placeholder[Int](39) } else { placeholder[Int](40) })\n        )\n      ) || (\n        (\n          ((((l9 < l12) && bool20) && (i22 == placeholder[Int](41))) && (box1.tokens(placeholder[Int](42)) == coll4(placeholder[Int](43)))) && (\n            box1.propositionBytes == coll17\n          )\n        ) && (func8(box1) >= l9 - if (bool7) { l28 } else { placeholder[Long](44) })\n      )\n    ) && (box18.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "7db78aadc5f477b68be0e2e2e480f6db96aa4fd31f5ac4ba08fdc625a9f411fd",
          "index": 0,
          "amount": 1,
          "name": "Mr Feelgood #PET_023_420SP",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd027824a14e2a76625a602e67af8aacc85a59640b0b1faa382cb7875b8472018fb8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd027824a14e2a76625a602e67af8aacc85a59640b0b1faa382cb7875b8472018fb8"
        },
        "R6": {
          "serializedValue": "110280b09dc2df0180c8afa025",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[30000000000,5000000000]"
        },
        "R8": {
          "serializedValue": "0580a09b9fb918",
          "sigmaType": "SLong",
          "renderedValue": "420000000000"
        },
        "R7": {
          "serializedValue": "05808393938960",
          "sigmaType": "SLong",
          "renderedValue": "1650495480000"
        },
        "R9": {
          "serializedValue": "0ec9027b22696e697469616c426964223a33303030303030303030302c22737461727454696d65223a313635303238343532353139302c226465736372697074696f6e223a22f09f8d84343230205370656369616c2032303232f09f8d8420457665727920626964646572206765747320783120726166666c6520656e7472793b20783320696620686f6c64696e6720612073312f733220676e6f6d652077686f7365205472696265206973205c2248657262616c6973745c2220f09f8d8450617373207468652053706c6966663a2040313220616d205554432c207468652068696768657374206269646465722077696c6c20737465616c20783120656e7472792066726f6d2065766572796f6e6520656c736520f09f8d84343230206d6572636820746f20626520726166666c6564207c204552476e6f6d657320627920466f656e6963756c756d227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a33303030303030303030302c22737461727454696d65223a313635303238343532353139302c226465736372697074696f6e223a22f09f8d84343230205370656369616c2032303232f09f8d8420457665727920626964646572206765747320783120726166666c6520656e7472793b20783320696620686f6c64696e6720612073312f733220676e6f6d652077686f7365205472696265206973205c2248657262616c6973745c2220f09f8d8450617373207468652053706c6966663a2040313220616d205554432c207468652068696768657374206269646465722077696c6c20737465616c20783120656e7472792066726f6d2065766572796f6e6520656c736520f09f8d84343230206d6572636820746f20626520726166666c6564207c204552476e6f6d657320627920466f656e6963756c756d227d"
        },
        "R4": {
          "serializedValue": "0e240008cd038afb35d0522f1f4920a100b181b027a40049c2268a7ba2a74d5f8671705b74d4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd038afb35d0522f1f4920a100b181b027a40049c2268a7ba2a74d5f8671705b74d4"
        }
      },
      "spentTransactionId": "1744901a81485566d5e0c7073c58a4a84eec6b967d1547deddd9fb5c7186b95e",
      "mainChain": true
    },
    {
      "boxId": "ef9debe64846a18b24ee175a8389e75980e4ff7ae1be6a1feac6666329475b26",
      "transactionId": "5ef040dfacac4e55f522a403673953339e293f0e5a83f12502b9ca42837fa533",
      "blockId": "8224a8857191014faf7a98698b3114117a6641fc00b663a10dc17c5661e12240",
      "value": 140000000000,
      "index": 1,
      "globalIndex": 15730310,
      "creationHeight": 731631,
      "settlementHeight": 731633,
      "ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
      "address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "ed306f9c0bfac8801681ef68ecd4e874b580a2fcc0ba91673d19b6b188c6f650",
      "mainChain": true
    },
    {
      "boxId": "f28dc327405d2d4f06b0324f874e8f73f042e7a4dad8fffd25e89579dba953b8",
      "transactionId": "5ef040dfacac4e55f522a403673953339e293f0e5a83f12502b9ca42837fa533",
      "blockId": "8224a8857191014faf7a98698b3114117a6641fc00b663a10dc17c5661e12240",
      "value": 1000000,
      "index": 2,
      "globalIndex": 15730311,
      "creationHeight": 731631,
      "settlementHeight": 731633,
      "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": "a1a0a32c37fa7a7cae09beafb0a76def5ccf9dc6e95e9ea05b011970efbe606b",
      "mainChain": true
    }
  ],
  "size": 1651,
  "isUnconfirmed": false
}