Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.20169 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.197995 ERG
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.2179 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.00105 ERG
Spent in transaction:
Settlement height:
Value:
0.187535 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 2.43 KB
Received time: 9/5/2022 01:26:57 PM
Included in blocks: 832,133
Confirmations: 941,832
Total coins transferred: 0.407585 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000441 ERG
Raw Transaction Data
{
  "id": "746e53110b8a6b07b8cac628d461b5658dfda002ee920fd0c8529b35f29cd5f1",
  "blockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
  "inclusionHeight": 832133,
  "timestamp": 1662384417582,
  "index": 25,
  "globalIndex": 3931965,
  "numConfirmations": 941832,
  "inputs": [
    {
      "boxId": "f2dc5471bb554c4deafab895c118e6266d9d7a7b245cee245bfcff5481ec1b4b",
      "value": 7900000,
      "index": 0,
      "spendingProof": "fcb2beec19c1f9826b1104d1a7a59ee735da5fb24b9721ce349d7146c2558a3a9f084dc3d45e0e9b4a3e62dfe984b8b184a0360060e8477c",
      "outputBlockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "outputTransactionId": "339f9db87efdc52fd4c02e3c5466d6f66776e15a38507577cc7d89580b97a6b9",
      "outputIndex": 0,
      "outputGlobalIndex": 21196742,
      "outputCreatedAt": 832129,
      "outputSettledAt": 832133,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 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)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: 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)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = placeholder[Coll[Byte]](1)\n  val coll5 = box1.R5[Coll[Long]].get\n  val l6 = coll5(placeholder[Int](2))\n  val l7 = placeholder[Long](3) + l6\n  val func8 = {(i8: Int) =>\n    val box10 = OUTPUTS(i8)\n    if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n      val coll11 = box10.tokens\n      ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n    )} else { placeholder[Boolean](7) }\n  }\n  val bool9 = func8(placeholder[Int](8))\n  val coll10 = coll3(placeholder[Int](9))\n  val l11 = SELF.value\n  val l12 = coll5(placeholder[Int](10))\n  val l13 = SELF.R7[Long].get\n  val coll14 = placeholder[SigmaProp](11).propBytes\n  val box15 = OUTPUTS(placeholder[Int](12))\n  val l16 = box15.tokens(placeholder[Int](13))._2\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val coll18 = SELF.R5[Coll[Int]].get\n  val l19 = SELF.R9[Long].get\n  val l20 = SELF.R8[Long].get\n  val l21 = box15.value\n  val bool22 = l21 == l11\n  val bool23 = func8(placeholder[Int](14))\n  val i24 = OUTPUTS.size\n  val box25 = OUTPUTS(placeholder[Int](15))\n  val coll26 = box25.propositionBytes\n  val bool27 = box15.R4[Coll[Byte]].get == coll17\n  val i28 = coll18(placeholder[Int](16))\n  val i29 = coll18(placeholder[Int](17))\n  val i30 = coll18(placeholder[Int](18))\n  sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n            val box31 = OUTPUTS(placeholder[Int](21))\n            val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n            if (blake2b256(box31.propositionBytes) == coll10) {(\n              val tuple33 = box31.tokens(placeholder[Int](24))\n              ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n            )} else { placeholder[Boolean](28) }\n          )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n            val box31 = OUTPUTS(placeholder[Int](31))\n            val l32 = l11 - box15.value\n            if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n          )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n            val l31 = box15.R7[Long].get\n            (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n           } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n            val coll31 = box15.R5[Coll[Int]].get\n            val i32 = coll31(placeholder[Int](62))\n            ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 == coll5(placeholder[Int](73) * i28 + placeholder[Int](74))))\n           } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n    (\n      if (bool9 && (l13 == placeholder[Long](78))) {\n        if (i24 > placeholder[Int](79)) {\n          if (coll26 == coll14) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n                        ) && bool22\n                      ) && (l16 == placeholder[Long](85))\n                    ) && bool27\n                  ) && (box15.R5[Coll[Int]].get == coll18)\n                ) && (box15.R7[Long].get == placeholder[Long](86))\n              ) && (box15.R8[Long].get == placeholder[Long](87))\n            ) && (box15.R9[Long].get == l19)\n          } else { placeholder[Boolean](88) }\n        } else { placeholder[Boolean](89) }\n      } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n        if (i24 >= placeholder[Int](92)) {\n          if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n            blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n          } else { placeholder[Boolean](97) }\n        } else { placeholder[Boolean](98) }\n      } else { placeholder[Boolean](99) }\n    ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n      (\n        (\n          (\n            ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n          ) && (box15.R9[Long].get == l19)\n        ) && (l16 == placeholder[Long](103))\n      ) || (\n        (\n          (\n            (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n              box25.R8[Long].get == placeholder[Long](105)\n            )\n          ) && (box25.R9[Long].get == l19)\n        ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n      )\n    } else { placeholder[Boolean](108) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "10050202000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R4": {
          "serializedValue": "0ed501426c75653a3666633364393a3139306438353a343a343a4d3232312c313535513231382c3138352c3139312c3139372e35513136342c3231302c3133372c3231382e35513131302c3232372c38332e352c3231355135372c3230332c33332e352c3138315131302c3135392c32302e352c3132385133312c39372c34312e352c36395135322c34312c38312c33312e35513131302c32322c3134312c32312e35513137322c32312c3139322e352c34342e35513231332c36382c3231382e352c39362e35513232342c3132352c3232312c3135355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "426c75653a3666633364393a3139306438353a343a343a4d3232312c313535513231382c3138352c3139312c3139372e35513136342c3231302c3133372c3231382e35513131302c3232372c38332e352c3231355135372c3230332c33332e352c3138315131302c3135392c32302e352c3132385133312c39372c34312e352c36395135322c34312c38312c33312e35513131302c32322c3134312c32312e35513137322c32312c3139322e352c34342e35513231332c36382c3231382e352c39362e35513232342c3132352c3232312c3135355a"
        }
      }
    },
    {
      "boxId": "b8583139bb9f463c97709b75cf111bb45f2e2167336382509cc6abea4a277eec",
      "value": 201690000,
      "index": 1,
      "spendingProof": "335cef9cce061a3617f81864e91610fbd1d9dc40dc0402758778725e80aa440b4cb41c0b49ab36a6e2384edadd9339a72457d76e006c4248",
      "outputBlockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "outputTransactionId": "339f9db87efdc52fd4c02e3c5466d6f66776e15a38507577cc7d89580b97a6b9",
      "outputIndex": 1,
      "outputGlobalIndex": 21196743,
      "outputCreatedAt": 832129,
      "outputSettledAt": 832133,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "64cb6fdb6b6183296497604ca072afcfbd0cdce77ac843e57a7b044db251b812",
      "value": 197995000,
      "index": 2,
      "spendingProof": "01e1dd24ed5129bf3e8a73688cd75d3bdb15b881a23f7f5772e768a88716d226bb99e0efed5e6221006541fb01bdb1c2f12d582ead33b14f",
      "outputBlockId": "ed9c54cd6e7215f127b94064a9db9f2bd0bbc12f21b005cfbcf6c1a577075219",
      "outputTransactionId": "4cb3d23b0d0f826fbf9928cecfd6ceb0e18fcb7938b44566739ce4018c376681",
      "outputIndex": 1,
      "outputGlobalIndex": 20876017,
      "outputCreatedAt": 827157,
      "outputSettledAt": 827159,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "1fd16da89891b5489cdc7399e039d6b00d33e1abfcdeee5074dea48aef3295f1",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "0946eaff4eb2f1dea046cf26a621ca05c98f6b941362613864cffab2f0b037c1",
      "outputTransactionId": "9d450b5afc8400bc4e67ec10a54b4cced3323cc90185734964bc133be597ecd4",
      "outputIndex": 0,
      "ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
      "address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0420ca652af43568ac03860a52450b7945826e00a6a7de1b32e17fe2df5df219fc14202ae00c07315652b4457650e722600993314de2b3abb838f02a5d603f1bd1ac6120d62c099ce0b7f0c6b3edacb14238dabd47896649f81c02848e2d8207ab0152e3201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ca652af43568ac03860a52450b7945826e00a6a7de1b32e17fe2df5df219fc14,2ae00c07315652b4457650e722600993314de2b3abb838f02a5d603f1bd1ac61,d62c099ce0b7f0c6b3edacb14238dabd47896649f81c02848e2d8207ab0152e3,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
        },
        "R5": {
          "serializedValue": "11060ac0a386010206c83380897a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5,1100000,1,3,3300,1000000]"
        },
        "R6": {
          "serializedValue": "110cc8010202320a646414c801c80132f403",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100,1,1,25,5,50,50,10,100,100,25,250]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "5489538bbb34e33b68d38540a49d55c2df4e5bd010167af47ceeee8f8521b9c1",
      "transactionId": "746e53110b8a6b07b8cac628d461b5658dfda002ee920fd0c8529b35f29cd5f1",
      "blockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "value": 217900000,
      "index": 0,
      "globalIndex": 21196788,
      "creationHeight": 832130,
      "settlementHeight": 832133,
      "ergoTree": "106d04000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f401040004020400010004000406040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004000402040204080400040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b040005d00f0580897a0400050404020402010001000500040205d00f0580897a0504050005000500010001000500050405040502010005060504050005000100050004040404040404060406050005000504040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f04080400040204020408040204000406040201000100010005040406050405d00f0580897a04040404050405000500010001000100050204080404040204040404010001000100050605000500050405000500040005040100d81ed601b2db6501fe730000d602e4c6a70608d603e4c67201041ad6047301d605e4c672010511d606b27205730200d6079a73037206d608d9010804d801d60ab2a57208009593cbc2720ab27203730400d801d60bdb6308720aeded93b1720b7305938cb2720b73060001720492c1720a72077307d609da7208017308d60ab27203730900d60bc1a7d60cb27205730a00d60de4c6a70705d60ed0730bd60fb2a5730c00d6108cb2db6308720f730d0002d611e4c6a7040ed612e4c6a70510d613e4c6a70905d614e4c6a70805d615c1720fd616937215720bd617da720801730ed618b1a5d619b2a5730f00d61ac27219d61b93e4c6720f040e7211d61cb27212731000d61db27212731100d61eb27212731200ea02d1938cb2db63087201731300017314eb02ea027202d1ecececec95ef7209d802d61fb2a5731500d620a29d9c720b720c731673179593cbc2721f720ad801d621b2db6308721f731800edededed938c7221017204938c722102731992c1721f722093c2b2a5731a00d0720292c1b2a5731b009999720b72207206731c731d95ed720993720d731ed802d61fb2a5731f00d62099720bc1720f9593c2721f720eedededededededed92c1721fa29d9ca272207220720c73207321937210732293e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732393e4c6720f0805732493e4c6720f0905721393721473257326732795ed720993720d7328edededededed937215720b937210732993e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f09057213d801d61fe4c6720f0705ec93721f732aed93721f732b90e4c6720f080599720b7207732c95ed720994720d732dededededededed7216937210732e93e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732f93e4c6720f0805733093e4c6720f09057213733195eded7209ef721793720d73329591721873339593cb721a720aededededededededededed7216721b93b2e4c6720f0510733400b2721273350093b2e4c6720f0510733600b2721273370093e4c6720f0608720293e4c6720f0705733893e4c6720f0805733993e4c6720f09057213937210733a93b1db63087219733b938cb2db63087219733c0001733dd802d61fe4c6720f0510d620b2721f733e00ecededed907220733f90b2721f734000734193b2721f734200721c928cb2db63087219734300027e999a7220b2721f7344009a721d721e05ededed937220721d93b2721f734500721e93b2721f7346009a721c7347938cb2db6308721973480002b272059c73499a721c734a00734b734c734dd1ecec95ed720993720d734e95917218734f9593721a720eededededededededed92c17219a29d9c9c72147350720c7351735293c2b2a5735300d0720292c1b2a5735400721472169372107355721b93e4c6720f0510721293e4c6720f0705735693e4c6720f0805735793e4c6720f0905721373587359735a95eded7209721793720d735b95927218735c9593cbc2b2a5735d00b27203735e0093cbc2b2a4735f00b2720373600073617362736395eded7209721793720d7364ecededededed721b93e4c6720f0608720293e4c6720f0705736593e4c6720f0805736693e4c6720f090572139372107367ededededed93e4c67219040e721193e4c672190608720293e4c672190705736893e4c672190805736993e4c6721909057213938cb2db63087219736a0002736b736c",
      "ergoTreeConstants": "0: 0\n1: 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)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: 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)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val prop2 = SELF.R6[SigmaProp].get\n  val coll3 = box1.R4[Coll[Coll[Byte]]].get\n  val coll4 = placeholder[Coll[Byte]](1)\n  val coll5 = box1.R5[Coll[Long]].get\n  val l6 = coll5(placeholder[Int](2))\n  val l7 = placeholder[Long](3) + l6\n  val func8 = {(i8: Int) =>\n    val box10 = OUTPUTS(i8)\n    if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n      val coll11 = box10.tokens\n      ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n    )} else { placeholder[Boolean](7) }\n  }\n  val bool9 = func8(placeholder[Int](8))\n  val coll10 = coll3(placeholder[Int](9))\n  val l11 = SELF.value\n  val l12 = coll5(placeholder[Int](10))\n  val l13 = SELF.R7[Long].get\n  val coll14 = placeholder[SigmaProp](11).propBytes\n  val box15 = OUTPUTS(placeholder[Int](12))\n  val l16 = box15.tokens(placeholder[Int](13))._2\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val coll18 = SELF.R5[Coll[Int]].get\n  val l19 = SELF.R9[Long].get\n  val l20 = SELF.R8[Long].get\n  val l21 = box15.value\n  val bool22 = l21 == l11\n  val bool23 = func8(placeholder[Int](14))\n  val i24 = OUTPUTS.size\n  val box25 = OUTPUTS(placeholder[Int](15))\n  val coll26 = box25.propositionBytes\n  val bool27 = box15.R4[Coll[Byte]].get == coll17\n  val i28 = coll18(placeholder[Int](16))\n  val i29 = coll18(placeholder[Int](17))\n  val i30 = coll18(placeholder[Int](18))\n  sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n            val box31 = OUTPUTS(placeholder[Int](21))\n            val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n            if (blake2b256(box31.propositionBytes) == coll10) {(\n              val tuple33 = box31.tokens(placeholder[Int](24))\n              ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n            )} else { placeholder[Boolean](28) }\n          )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n            val box31 = OUTPUTS(placeholder[Int](31))\n            val l32 = l11 - box15.value\n            if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n          )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n            val l31 = box15.R7[Long].get\n            (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n           } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n            val coll31 = box15.R5[Coll[Int]].get\n            val i32 = coll31(placeholder[Int](62))\n            ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 == coll5(placeholder[Int](73) * i28 + placeholder[Int](74))))\n           } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n    (\n      if (bool9 && (l13 == placeholder[Long](78))) {\n        if (i24 > placeholder[Int](79)) {\n          if (coll26 == coll14) {\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n                              OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n                            )\n                          ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n                        ) && bool22\n                      ) && (l16 == placeholder[Long](85))\n                    ) && bool27\n                  ) && (box15.R5[Coll[Int]].get == coll18)\n                ) && (box15.R7[Long].get == placeholder[Long](86))\n              ) && (box15.R8[Long].get == placeholder[Long](87))\n            ) && (box15.R9[Long].get == l19)\n          } else { placeholder[Boolean](88) }\n        } else { placeholder[Boolean](89) }\n      } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n        if (i24 >= placeholder[Int](92)) {\n          if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n            blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n          } else { placeholder[Boolean](97) }\n        } else { placeholder[Boolean](98) }\n      } else { placeholder[Boolean](99) }\n    ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n      (\n        (\n          (\n            ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n          ) && (box15.R9[Long].get == l19)\n        ) && (l16 == placeholder[Long](103))\n      ) || (\n        (\n          (\n            (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n              box25.R8[Long].get == placeholder[Long](105)\n            )\n          ) && (box25.R9[Long].get == l19)\n        ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n      )\n    } else { placeholder[Boolean](108) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
          "index": 0,
          "amount": 2,
          "name": "BLOB",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "10050202000000",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[1,1,0,0,0]"
        },
        "R6": {
          "serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
          "sigmaType": "SSigmaProp",
          "renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        },
        "R4": {
          "serializedValue": "0ed501426c75653a3666633364393a3139306438353a343a343a4d3232312c313535513231382c3138352c3139312c3139372e35513136342c3231302c3133372c3231382e35513131302c3232372c38332e352c3231355135372c3230332c33332e352c3138315131302c3135392c32302e352c3132385133312c39372c34312e352c36395135322c34312c38312c33312e35513131302c32322c3134312c32312e35513137322c32312c3139322e352c34342e35513231332c36382c3231382e352c39362e35513232342c3132352c3232312c3135355a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "426c75653a3666633364393a3139306438353a343a343a4d3232312c313535513231382c3138352c3139312c3139372e35513136342c3231302c3133372c3231382e35513131302c3232372c38332e352c3231355135372c3230332c33332e352c3138315131302c3135392c32302e352c3132385133312c39372c34312e352c36395135322c34312c38312c33312e35513131302c32322c3134312c32312e35513137322c32312c3139322e352c34342e35513231332c36382c3231382e352c39362e35513232342c3132352c3232312c3135355a"
        }
      },
      "spentTransactionId": "8a9aab66a1590e752d2ae149c6892598aa9d8da7efc7a6c851503c3b5c79ddc4",
      "mainChain": true
    },
    {
      "boxId": "90d775b12d73f5a14219cdf419410a5f0f2612783605e90529828e86d993f381",
      "transactionId": "746e53110b8a6b07b8cac628d461b5658dfda002ee920fd0c8529b35f29cd5f1",
      "blockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "value": 1050000,
      "index": 1,
      "globalIndex": 21196789,
      "creationHeight": 832130,
      "settlementHeight": 832133,
      "ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
      "address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "1f97be5da5ecd273c3bc600fda1abf85be8088dc3a36279ba0f9257041a28e1b",
      "mainChain": true
    },
    {
      "boxId": "c8ac53c5d6ffe0c4a3b5b7495874c669db680e7cd4d4677f6664f039793426e5",
      "transactionId": "746e53110b8a6b07b8cac628d461b5658dfda002ee920fd0c8529b35f29cd5f1",
      "blockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "value": 187535000,
      "index": 2,
      "globalIndex": 21196790,
      "creationHeight": 832130,
      "settlementHeight": 832133,
      "ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
      "address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
      "assets": [
        {
          "tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
          "index": 0,
          "amount": 3,
          "name": "Oatmeal",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "8a9aab66a1590e752d2ae149c6892598aa9d8da7efc7a6c851503c3b5c79ddc4",
      "mainChain": true
    },
    {
      "boxId": "b9b281e04eb606a77b359c84b11db2ad5b716e2e890d725b284647bf0c79c86c",
      "transactionId": "746e53110b8a6b07b8cac628d461b5658dfda002ee920fd0c8529b35f29cd5f1",
      "blockId": "26acc8f18f1b01d94d8670531aa86d8a33d3c6f544a9e353273b38a50e5c969f",
      "value": 1100000,
      "index": 3,
      "globalIndex": 21196791,
      "creationHeight": 832130,
      "settlementHeight": 832133,
      "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": "7f48d8fc7f3f8b56070777b5df1f0a143ca58dc939b1c50f9e3058183686f10c",
      "mainChain": true
    }
  ],
  "size": 2492,
  "isUnconfirmed": false
}