Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
13.11 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.051 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
13.06 ERG
Transaction Details
Status: Confirmed
Size: 1.99 KB
Received time: 3/1/2026 02:03:52 AM
Included in blocks: 1,732,148
Confirmations: 35,766
Total coins transferred: 13.11 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000492 ERG
Raw Transaction Data
{
  "id": "6b843ddef5631f24ba82e25e95872d738cde88ecf5a39bda6f11bc684732ac48",
  "blockId": "fd91a6dc184b817eed1f25cf884a01ac96d2024c8adeb80694bd6b0e3e6f5dc9",
  "inclusionHeight": 1732148,
  "timestamp": 1772330632100,
  "index": 15,
  "globalIndex": 10376149,
  "numConfirmations": 35766,
  "inputs": [
    {
      "boxId": "25a3af5d6a1f54acb4ac771688be3e19a9a58c11a889c9dddce9d87996229e1d",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
      "outputTransactionId": "5536f7a9d6a467ec4b4f1fa35d7005b76d05ccd5e31f7e9e65f3be809e97bd1e",
      "outputIndex": 0,
      "outputGlobalIndex": 53871701,
      "outputCreatedAt": 1732145,
      "outputSettledAt": 1732147,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 33\n4: 34\n5: 35\n6: 5\n7: 0\n8: 0\n9: 8\n10: 2\n11: 1\n12: 0\n13: 32\n14: 32\n15: 54\n16: 0\n17: 22\n18: 0\n19: 32\n20: 32\n21: 16777216\n22: 0\n23: 256\n24: 65536\n25: 0\n26: 256\n27: 256\n28: 0\n29: 256\n30: 0\n31: true\n32: 21\n33: 20\n34: 256\n35: 0\n36: 256\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 4\n43: 0\n44: 2\n45: 2\n46: 2\n47: 0\n48: true\n49: 0\n50: 0\n51: 1200000\n52: 3\n53: 12\n54: 4\n55: 0\n56: 0\n57: 2\n58: 10\n59: 2\n60: 11\n61: 2\n62: 0\n63: 32\n64: 0\n65: 32\n66: 1\n67: true\n68: 0\n69: 1\n70: 32\n71: 40\n72: 1\n73: 32\n74: 40\n75: 40\n76: 48\n77: 0\n78: 12",
      "ergoTreeScript": "{\n  val l1 = HEIGHT.toLong\n  val coll2 = SELF.R4[Coll[Long]].get\n  val l3 = coll2(placeholder[Int](0))\n  val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n  val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n  if (l1 < l3) {(\n    val box6 = OUTPUTS(placeholder[Int](1))\n    val coll7 = CONTEXT.dataInputs\n    val box8 = coll7(placeholder[Int](2))\n    val coll9 = getVar[Coll[Byte]](4.toByte).get\n    val i10 = coll4.size\n    val coll11 = getVar[Coll[Byte]](1.toByte).get\n    val coll12 = getVar[Coll[Byte]](5.toByte).get\n    val coll13 = getVar[Coll[Byte]](2.toByte).get\n    val l14 = coll12(placeholder[Int](3)).toLong\n    val l15 = coll12(placeholder[Int](4)).toLong\n    val l16 = coll12(placeholder[Int](5)).toLong\n    val l17 = coll2(placeholder[Int](6))\n    val coll18 = box6.R5[Coll[Coll[Byte]]].get\n    val coll19 = box6.R6[Coll[Coll[Byte]]].get\n    val i20 = coll5.size\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n                                    {(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll9 }\n                                  )\n                                ) && (coll2(placeholder[Int](7)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](8), placeholder[Int](9))))\n                              ) && (i10.toLong < coll2(placeholder[Int](10)))\n                            ) && (coll7(placeholder[Int](11)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n                          ) && (\n                            (coll13.slice(placeholder[Int](12), placeholder[Int](13)) == coll11) && (\n                              coll13.slice(placeholder[Int](14), placeholder[Int](15)) == coll12.slice(placeholder[Int](16), placeholder[Int](17))\n                            )\n                          )\n                        ) && coll4.forall({(coll21: Coll[Byte]) => coll21.slice(placeholder[Int](18), placeholder[Int](19)) != coll11 })\n                      ) && (\n                        l1 >= coll12(placeholder[Int](20)).toLong * placeholder[Long](21) + if (l14 < placeholder[Long](22)) {\n                          l14 + placeholder[Long](23)\n                        } else { l14 } * placeholder[Long](24) + if (l15 < placeholder[Long](25)) { l15 + placeholder[Long](26) } else { l15 } * placeholder[\n                          Long\n                        ](27) + if (l16 < placeholder[Long](28)) { l16 + placeholder[Long](29) } else { l16 }\n                      )\n                    ) && if (l17 == placeholder[Long](30)) { placeholder[Boolean](31) } else {(\n                      val l21 = coll12(placeholder[Int](32)).toLong\n                      val l22 = coll12(placeholder[Int](33)).toLong * placeholder[Long](34) + if (l21 < placeholder[Long](35)) {\n                        l21 + placeholder[Long](36)\n                      } else { l21 }\n                      val coll23 = box8.R9[Coll[Long]].get\n                      val i24 = l17 - placeholder[Long](37) * placeholder[Long](38).toInt\n                      (l22 >= coll23(i24)) && (l22 <= coll23(i24 + placeholder[Int](39)))\n                    )}\n                  ) && (coll18.size == i10 + placeholder[Int](40))\n                ) && (coll18(i10) == coll13)\n              ) && coll4.indices.forall({(i21: Int) => coll18(i21) == coll4(i21) })\n            ) && (coll19.size == i20 + placeholder[Int](41))\n          ) && (coll19(i20) == getVar[Coll[Byte]](3.toByte).get)\n        ) && coll5.indices.forall({(i21: Int) => coll19(i21) == coll5(i21) })\n      ) && (box6.value >= SELF.value + coll2(placeholder[Int](42)))\n    )\n  )} else {(\n    val i6 = getVar[Int](1.toByte).get\n    val box7 = CONTEXT.dataInputs(placeholder[Int](43))\n    val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n    val coll9 = box7.R4[Coll[Long]].get\n    sigmaProp(if (i6 == placeholder[Int](44)) {(\n        val i10 = coll4.size\n        ((bool8 && (l1 >= l3 + placeholder[Long](45))) && (i10 < placeholder[Int](46))) && if (i10 == placeholder[Int](47)) { placeholder[Boolean](48) } else {(\n          val box11 = OUTPUTS(placeholder[Int](49))\n          (box11.propositionBytes == coll5(placeholder[Int](50))) && (box11.value >= SELF.value - placeholder[Long](51))\n        )}\n      )} else { if (i6 == placeholder[Int](52)) {(\n          val coll10 = coll5.indices\n          ((bool8 && (l1 > l3 + placeholder[Long](53))) && coll10.forall({(i11: Int) =>\n                val box13 = OUTPUTS(i11)\n                (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](54)))\n              })) && (coll10.fold(placeholder[Long](55), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n        )} else {(\n          val i10 = coll4.size\n          val box11 = OUTPUTS(placeholder[Int](56))\n          val coll12 = box11.R7[Coll[Coll[Byte]]].get\n          val i13 = coll12.size\n          val l14 = SELF.value\n          (((((((((((bool8 && ((l1 >= l3 + placeholder[Long](57)) && (l1 <= l3 + placeholder[Long](58)))) && (i10 >= placeholder[Int](59))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](60)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (box11.R9[Coll[Byte]].get == CONTEXT.headers(l1 - l3 - placeholder[Long](61).toInt).id)) && (i13 == i10)) && coll12.forall({(coll15: Coll[Byte]) => coll4.exists({(coll17: Coll[Byte]) => coll17.slice(placeholder[Int](62), placeholder[Int](63)) == coll15.slice(placeholder[Int](64), placeholder[Int](65)) }) })) && if (i13 <= placeholder[Int](66)) { placeholder[Boolean](67) } else { coll12.indices.slice(placeholder[Int](68), i13 - placeholder[Int](69)).forall({(i15: Int) => byteArrayToLong(coll12(i15).slice(placeholder[Int](70), placeholder[Int](71))) >= byteArrayToLong(coll12(i15 + placeholder[Int](72)).slice(placeholder[Int](73), placeholder[Int](74))) }) }) && (coll12.map({(coll15: Coll[Byte]) => byteArrayToLong(coll15.slice(placeholder[Int](75), placeholder[Int](76))) }).fold(placeholder[Long](77), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= l14)) && (box11.value >= l14 + coll9(placeholder[Int](78)))\n        )} })\n  )}\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1107e7b3a29ad69b80c386010028f6b8d30180c2d72f0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[-4846718099407523060,0,20,1732155,50000000,0,0]"
        },
        "R5": {
          "serializedValue": "1a00",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[]"
        },
        "R6": {
          "serializedValue": "1a00",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[]"
        }
      }
    },
    {
      "boxId": "ea30bb004f8cda147f5832961a50c060817f8b561e78f11c80d11e92aa9496c5",
      "value": 13111992696,
      "index": 1,
      "spendingProof": "885cd30e73d1eb4ff8d1d4298a998648428861e6b55c8952ede46d7be08ac7b56a2cda3a8ba3f1c849ff2dd51bf0186156da689739258d8f",
      "outputBlockId": "fd91a6dc184b817eed1f25cf884a01ac96d2024c8adeb80694bd6b0e3e6f5dc9",
      "outputTransactionId": "9e13555318b0bc3d371781bf552641e71e6813c045e80ce41627f8314bcf73b8",
      "outputIndex": 2,
      "outputGlobalIndex": 53871761,
      "outputCreatedAt": 1732147,
      "outputSettledAt": 1732148,
      "ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
      "address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "7fb02d0827a3c93ec98a244bdf0d99cbe7f601d60b927ff78149372ee59d69cc",
      "value": 10000000,
      "index": 0,
      "outputBlockId": "233e5859858e5e91cf1600493498ba011fb66a1059bc342baf3d05bb0bd055ef",
      "outputTransactionId": "b0f568e1abbe19a6f6a0af14e4b705a09348a1ca513f71bfde618e18ae6cd5a7",
      "outputIndex": 0,
      "ergoTree": "18380208cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a0402eb027300d1927ea305b2e4c6a70411730100",
      "address": "pA1p4kEjmLdGPJFY3pgPCZpg28tw34QTWCTpDA73oSvK3VLVPttk4ZNBL25dHw1qUwCztiSxhGzpgvhygp1Sz",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R6": {
          "serializedValue": "1d07050006e807e012e707050208e807e012d704050400e807e0120005060ae807e012e807050802e807e0128f03050a04e807e012b817050101008727b817",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
        },
        "R8": {
          "serializedValue": "1d05083c0a143c0a1e0000081e3c140a3c1e000008141e3c0a143c00000828281e1e1e14000008141432141e3c0000",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
        },
        "R7": {
          "serializedValue": "1d0306e80202a01f000080ade20406d00502c03e04904e80dac40906a00b040004f02e80b48913",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
        },
        "R9": {
          "serializedValue": "110678a001aa01be01c801f001",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[60,80,85,95,100,120]"
        },
        "R4": {
          "serializedValue": "111700be87d40180dac40980c2d72f0e06807de0d403e802a00b04148084af5f50463200000000000a0c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,1737183,10000000,50000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
        }
      }
    },
    {
      "boxId": "0e1f78de8e59c72c6a4a8009f3b5b7372bbf2e4416edd502599e8a1f35ce4dfd",
      "value": 10000000,
      "index": 1,
      "outputBlockId": "180dc5ec0c2d9fca6e0590e0a9c52d37d124dc72f06a9b804c7015d327ecc906",
      "outputTransactionId": "c7f48badb68b3d4c97e9a7dde50f6bf543a3852f68dfd02075a822e8f2d9ec5e",
      "outputIndex": 0,
      "ergoTree": "18ef11cc010400040004000442044404460440058080801005000580040580800805000580040580040500058004043605000580040500042e04300432042c058080801005000580040580800805000580040580040500058004043a043c043e0438058080801005000580040580800805000580040580040500058004041204340500058004050004000402040404060408040a040c040e0410041204140404040205800405000580040410041204000402040404060408040a040c040e04020400040404020580040500058004040c040404020406040804420444044604480448042e04300432042c05808080100500058004058080080500058004058004050005800404340436043a043c043e0438058080801005000580040580800805000580040580040500058004040204080101041001010414050005000500050005000500050005000101050104000402040404060408040a040c040e0500050005000500056405c80104000402040404060408040a040c040e05000500050005000500040e04100500050004120500050005a09c0105a09c0101010414041401010440058080801005000580040580800805000580040580040500058004010105000580040500058004050205000580040502050205000580040502050204020404d83bd601e4c6a70408d602b2a5730000d60393e4e301047301d604e4e3020ed605e4e3030ed606e4c6a70564d607e4e3000ed608b2db6501fe730200d609e4e30504d60ae4c672080411d60b7ea305d60ce4e3040ed60d7eb2720c73030005d60e7eb2720c73040005d60f7eb2720c73050005d6109a9a9a9c7eb2720c7306000573079c958f720d73089a720d7309720d730a9c958f720e730b9a720e730c720e730d958f720f730e9a720f730f720fd6117eb2720c73100005d612958f721173119a721173127211d6139172127313d6147eb2720c73140005d6157eb2720c73150005d6167eb2720c73160005d6179a9a9a9c7eb2720c7317000573189c958f721473199a7214731a7214731b9c958f7215731c9a7215731d7215731e958f7216731f9a721673207216d6187eb2720c73210005d6197eb2720c73220005d61a7eb2720c73230005d61b9a9a9a9c7eb2720c7324000573259c958f721873269a72187327721873289c958f721973299a7219732a7219732b958f721a732c9a721a732d721ad61c92720b9a721bb2720a732e00d61d7eb2720c732f0005d61e958f721d73309a721d7331721dd61f95721c7332721ed620830b047333733473357336733773387339733a733b733c733dd621ad7220d9012104d802d6239c7221733ed6247eb2720c9a7223733f00059a9c7eb2720c722300057340958f722473419a722473427224d622b27221734300d623b27221734400d62483080473457346734773487349734a734b734cd625b2e4c67208061d997209734d00d626b27225734e00d627ad7220d9012704d802d6299c7227734fd62a7eb272059a7229735000059a9c7eb27205722900057351958f722a73529a722a7353722ad628b2720a735400d629b27225735500d62ab27225735600d62b9a7222b27225735700d62c9a7223b27225735800d62d7eb2720573590005d62e7eb27205735a0005d62f7eb27205735b0005d6307eb27205735c0005d6317eb2720c735d0005d6327eb27205735e0005d6337eb27205735f0005d6347eb2720573600005d6359a9a9a9c7eb272057361000573629c958f723273639a72327364723273659c958f723373669a7233736772337368958f723473699a7234736a7234d6367eb27205736b0005d6377eb27205736c0005d6387eb27205736d0005d6397eb27205736e0005d63a7eb27205736f0005d63b9a9a9a9c7eb272057370000573719c958f723873729a72387373723873749c958f723973759a7239737672397377958f723a73789a723a7379723aea027201d1edededededededededededededededededededededed93c27202c2a792c17202c1a793db6401e4c672020564db6401957203e4dc640c72060283013c0e0e8602720472057207e4dc640d72060283013c0e0e8602720472057207aedb63087208d9013c4d0e938c723c01e4e3060eed927209737a907e720905b2720a737b0092720b7210957213737c92720b9a7217b2720a737d00957213737e8f721fb2720a737f00957203ededededededed937222738001937223738101af7224d9013c0493b27221723c0073820193721773830193721e73840193721273850193721b73860193721073870173880195937226738901af830804738a01738b01738c01738d01738e01738f01739001739101d9013c0493b27221723c00b27227723c00d806d63cb272217d72260400d63d997228723cd63e9590723d7392017393019d9c7229723d7228d63fb272217d722a0400d640997228723fd641959072407394017395019d9c9d9c722973960173970172407228af830804739801739901739a01739b01739c01739d01739e01739f01d9014204d801d6447e72420595937244722693b272277242009a723c9591723e723d723d958f723e73a00173a101723e95937244722a93b272277242009a723f9591724172407240958f724173a20173a301724193b27221724200b27227724200af7224d9013c0490b27227723c00722890b0722473a401d9013c41049a8c723c01b272278c723c0200b2720a73a5010093b2722773a60100958f722b73a70173a801722b93b2722773a90100958f722c73aa0173ab019591722c73ac0173ad01722c95720373ae0193b2722773af0100b2722173b0010095720373b101939a9a9a9c7eb2720573b201000573b3019c958f722d73b4019a722d73b501722d73b6019c958f722e73b7019a722e73b801722e73b901958f722f73ba019a722f73bb01722f721095720373bc0193958f723073bd019a723073be017230958f723173bf019a723173c00172319572139372357217ed92723599720b73c101907235720b93958f723673c2019a723673c3017236957213721e95721c73c4019a721f73c50193958f723773c6019a723773c701723795721399721273c801721295721393723b721b95721ced92723b99720b73c90190723b720b93723b721b93e4c672020408720192c1b2a573ca0100b2720a73cb0100",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "08cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
        },
        "R5": {
          "serializedValue": "64254b84462bf75c17e2e4afb93e02e2eb69afc4466ec7d99bd8da834257b6452402072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "d65587df2d685c202b272ba3e8dc787ae0500e10aeeee3583606c8d8e91dea6c",
      "transactionId": "6b843ddef5631f24ba82e25e95872d738cde88ecf5a39bda6f11bc684732ac48",
      "blockId": "fd91a6dc184b817eed1f25cf884a01ac96d2024c8adeb80694bd6b0e3e6f5dc9",
      "value": 51000000,
      "index": 0,
      "globalIndex": 53871790,
      "creationHeight": 1732147,
      "settlementHeight": 1732148,
      "ergoTree": "18af094f040604000400044204440446040a04000400041004040402040004400440046c0400042c04000440044005808080100500058004058080080500058004058004050005800405000101042a04280580040500058004050205040402040204020408040004040504040404000101040004000580be9201040605180408050004000504051404040416050404000440040004400402010104000402044004500402044004500450046005000418d805d6017ea305d602e4c6a70411d603b27202730000d604e4c6a7051ad605e4c6a7061a958f72017203d80fd606b2a5730100d607db6501fed608b27207730200d609e4e3040ed60ab17204d60be4e3010ed60ce4e3050ed60de4e3020ed60e7eb2720c73030005d60f7eb2720c73040005d6107eb2720c73050005d611b27202730600d612e4c67206051ad613e4c67206061ad614b17205d1edededededededededededededededed93c27206c2a793e4c6720604117202aedb63087208d901154d0e938c721501720993b272027307007cb4cb7209730873098f7e720a05b27202730a0093e4dc640ae4c6b27207730b00056402720be4e3000e720ced93b4720d730c730d720b93b4720d730e730fb4720c73107311af7204d901150e94b4721573127313720b9272019a9a9a9c7eb2720c7314000573159c958f720e73169a720e7317720e73189c958f720f73199a720f731a720f731b958f7210731c9a7210731d721095937211731e731fd804d6157eb2720c73200005d6169a9c7eb2720c732100057322958f721573239a721573247215d617e4c672080911d6187d9c9972117325732604ed927216b27217721800907216b272179a721873270093b172129a720a732893b27212720a00720dafdb0c0e7204d901150493b27212721500b2720472150093b172139a7214732993b27213721400e4e3030eafdb0c0e7205d901150493b27213721500b2720572150092c172069ac1a7b27202732a00d804d606e4e30104d607b2db6501fe732b00d608aedb63087207d901084d0e938c720801e4e3000ed609e4c672070411d195937206732cd801d60ab17204ededed72089272019a7203732d8f720a732e9593720a732f7330d801d60bb2a5733100ed93c2720bb2720573320092c1720b99c1a77333959372067334d801d60adb0c0e7205ededed72089172019a72037335af720ad9010b04d801d60db2a5720b00ed93c2720db27205720b0092c1720db2720273360090b0720a7337d9010b41049a8c720b01c1b2a58c720b0200c1a7d805d60ab17204d60bb2a5733800d60ce4c6720b071ad60db1720cd60ec1a7edededededededededededed7208ed9272019a720373399072019a7203733a92720a733b93e4c6720b0411720293e4c6720b051a720492e4c6720b06059a7201b27209733c0093e4c6720b080ee4e3020e93e4c6720b090edb6801b2db6502fe7d999972017203733d040093720d720aaf720cd9010f0eae7204d901110e93b47211733e733fb4720f734073419590720d73427343afb4db0c0e720c734499720d7345d9010f04927cb4b2720c720f00734673477cb4b2720c9a720f7348007349734a90b0ad720cd9010f0e7cb4720f734b734c734dd9010f599a8c720f018c720f02720e92c1720b9a720eb27209734e00",
      "ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 33\n4: 34\n5: 35\n6: 5\n7: 0\n8: 0\n9: 8\n10: 2\n11: 1\n12: 0\n13: 32\n14: 32\n15: 54\n16: 0\n17: 22\n18: 0\n19: 32\n20: 32\n21: 16777216\n22: 0\n23: 256\n24: 65536\n25: 0\n26: 256\n27: 256\n28: 0\n29: 256\n30: 0\n31: true\n32: 21\n33: 20\n34: 256\n35: 0\n36: 256\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 4\n43: 0\n44: 2\n45: 2\n46: 2\n47: 0\n48: true\n49: 0\n50: 0\n51: 1200000\n52: 3\n53: 12\n54: 4\n55: 0\n56: 0\n57: 2\n58: 10\n59: 2\n60: 11\n61: 2\n62: 0\n63: 32\n64: 0\n65: 32\n66: 1\n67: true\n68: 0\n69: 1\n70: 32\n71: 40\n72: 1\n73: 32\n74: 40\n75: 40\n76: 48\n77: 0\n78: 12",
      "ergoTreeScript": "{\n  val l1 = HEIGHT.toLong\n  val coll2 = SELF.R4[Coll[Long]].get\n  val l3 = coll2(placeholder[Int](0))\n  val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n  val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n  if (l1 < l3) {(\n    val box6 = OUTPUTS(placeholder[Int](1))\n    val coll7 = CONTEXT.dataInputs\n    val box8 = coll7(placeholder[Int](2))\n    val coll9 = getVar[Coll[Byte]](4.toByte).get\n    val i10 = coll4.size\n    val coll11 = getVar[Coll[Byte]](1.toByte).get\n    val coll12 = getVar[Coll[Byte]](5.toByte).get\n    val coll13 = getVar[Coll[Byte]](2.toByte).get\n    val l14 = coll12(placeholder[Int](3)).toLong\n    val l15 = coll12(placeholder[Int](4)).toLong\n    val l16 = coll12(placeholder[Int](5)).toLong\n    val l17 = coll2(placeholder[Int](6))\n    val coll18 = box6.R5[Coll[Coll[Byte]]].get\n    val coll19 = box6.R6[Coll[Coll[Byte]]].get\n    val i20 = coll5.size\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n                                    {(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll9 }\n                                  )\n                                ) && (coll2(placeholder[Int](7)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](8), placeholder[Int](9))))\n                              ) && (i10.toLong < coll2(placeholder[Int](10)))\n                            ) && (coll7(placeholder[Int](11)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n                          ) && (\n                            (coll13.slice(placeholder[Int](12), placeholder[Int](13)) == coll11) && (\n                              coll13.slice(placeholder[Int](14), placeholder[Int](15)) == coll12.slice(placeholder[Int](16), placeholder[Int](17))\n                            )\n                          )\n                        ) && coll4.forall({(coll21: Coll[Byte]) => coll21.slice(placeholder[Int](18), placeholder[Int](19)) != coll11 })\n                      ) && (\n                        l1 >= coll12(placeholder[Int](20)).toLong * placeholder[Long](21) + if (l14 < placeholder[Long](22)) {\n                          l14 + placeholder[Long](23)\n                        } else { l14 } * placeholder[Long](24) + if (l15 < placeholder[Long](25)) { l15 + placeholder[Long](26) } else { l15 } * placeholder[\n                          Long\n                        ](27) + if (l16 < placeholder[Long](28)) { l16 + placeholder[Long](29) } else { l16 }\n                      )\n                    ) && if (l17 == placeholder[Long](30)) { placeholder[Boolean](31) } else {(\n                      val l21 = coll12(placeholder[Int](32)).toLong\n                      val l22 = coll12(placeholder[Int](33)).toLong * placeholder[Long](34) + if (l21 < placeholder[Long](35)) {\n                        l21 + placeholder[Long](36)\n                      } else { l21 }\n                      val coll23 = box8.R9[Coll[Long]].get\n                      val i24 = l17 - placeholder[Long](37) * placeholder[Long](38).toInt\n                      (l22 >= coll23(i24)) && (l22 <= coll23(i24 + placeholder[Int](39)))\n                    )}\n                  ) && (coll18.size == i10 + placeholder[Int](40))\n                ) && (coll18(i10) == coll13)\n              ) && coll4.indices.forall({(i21: Int) => coll18(i21) == coll4(i21) })\n            ) && (coll19.size == i20 + placeholder[Int](41))\n          ) && (coll19(i20) == getVar[Coll[Byte]](3.toByte).get)\n        ) && coll5.indices.forall({(i21: Int) => coll19(i21) == coll5(i21) })\n      ) && (box6.value >= SELF.value + coll2(placeholder[Int](42)))\n    )\n  )} else {(\n    val i6 = getVar[Int](1.toByte).get\n    val box7 = CONTEXT.dataInputs(placeholder[Int](43))\n    val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n    val coll9 = box7.R4[Coll[Long]].get\n    sigmaProp(if (i6 == placeholder[Int](44)) {(\n        val i10 = coll4.size\n        ((bool8 && (l1 >= l3 + placeholder[Long](45))) && (i10 < placeholder[Int](46))) && if (i10 == placeholder[Int](47)) { placeholder[Boolean](48) } else {(\n          val box11 = OUTPUTS(placeholder[Int](49))\n          (box11.propositionBytes == coll5(placeholder[Int](50))) && (box11.value >= SELF.value - placeholder[Long](51))\n        )}\n      )} else { if (i6 == placeholder[Int](52)) {(\n          val coll10 = coll5.indices\n          ((bool8 && (l1 > l3 + placeholder[Long](53))) && coll10.forall({(i11: Int) =>\n                val box13 = OUTPUTS(i11)\n                (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](54)))\n              })) && (coll10.fold(placeholder[Long](55), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n        )} else {(\n          val i10 = coll4.size\n          val box11 = OUTPUTS(placeholder[Int](56))\n          val coll12 = box11.R7[Coll[Coll[Byte]]].get\n          val i13 = coll12.size\n          val l14 = SELF.value\n          (((((((((((bool8 && ((l1 >= l3 + placeholder[Long](57)) && (l1 <= l3 + placeholder[Long](58)))) && (i10 >= placeholder[Int](59))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](60)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (box11.R9[Coll[Byte]].get == CONTEXT.headers(l1 - l3 - placeholder[Long](61).toInt).id)) && (i13 == i10)) && coll12.forall({(coll15: Coll[Byte]) => coll4.exists({(coll17: Coll[Byte]) => coll17.slice(placeholder[Int](62), placeholder[Int](63)) == coll15.slice(placeholder[Int](64), placeholder[Int](65)) }) })) && if (i13 <= placeholder[Int](66)) { placeholder[Boolean](67) } else { coll12.indices.slice(placeholder[Int](68), i13 - placeholder[Int](69)).forall({(i15: Int) => byteArrayToLong(coll12(i15).slice(placeholder[Int](70), placeholder[Int](71))) >= byteArrayToLong(coll12(i15 + placeholder[Int](72)).slice(placeholder[Int](73), placeholder[Int](74))) }) }) && (coll12.map({(coll15: Coll[Byte]) => byteArrayToLong(coll15.slice(placeholder[Int](75), placeholder[Int](76))) }).fold(placeholder[Long](77), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= l14)) && (box11.value >= l14 + coll9(placeholder[Int](78)))\n        )} })\n  )}\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1107e7b3a29ad69b80c386010028f6b8d30180c2d72f0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[-4846718099407523060,0,20,1732155,50000000,0,0]"
        },
        "R5": {
          "serializedValue": "1a0136deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055]"
        },
        "R6": {
          "serializedValue": "1a01240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
        }
      },
      "spentTransactionId": "7c9dfa6785c0706f7b180ef1b38a8575dabd9f26036bf03273b6c7b89cf8cd6d",
      "mainChain": true
    },
    {
      "boxId": "f12ab0b45ad5ac8f605038e506320c6b0624be4072d69197b68f729cdf673199",
      "transactionId": "6b843ddef5631f24ba82e25e95872d738cde88ecf5a39bda6f11bc684732ac48",
      "blockId": "fd91a6dc184b817eed1f25cf884a01ac96d2024c8adeb80694bd6b0e3e6f5dc9",
      "value": 1000000,
      "index": 1,
      "globalIndex": 53871791,
      "creationHeight": 1732147,
      "settlementHeight": 1732148,
      "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": "1a16d4478a8dcbfa9ed8aea390b5094a5ee380cf3bc638bf80baedb40423d929",
      "mainChain": true
    },
    {
      "boxId": "f8c41ad196d9610d0e0d0be1d38496185ef0ceffa9026d33367bb5af46f4cc50",
      "transactionId": "6b843ddef5631f24ba82e25e95872d738cde88ecf5a39bda6f11bc684732ac48",
      "blockId": "fd91a6dc184b817eed1f25cf884a01ac96d2024c8adeb80694bd6b0e3e6f5dc9",
      "value": 13060992696,
      "index": 2,
      "globalIndex": 53871792,
      "creationHeight": 1732147,
      "settlementHeight": 1732148,
      "ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
      "address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "7c9dfa6785c0706f7b180ef1b38a8575dabd9f26036bf03273b6c7b89cf8cd6d",
      "mainChain": true
    }
  ],
  "size": 2034,
  "isUnconfirmed": false
}