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Transaction

6/18/2025 07:09:09 PM
ID: 4ada9bd44b...8432
Inputs (12)
#0
4b975b442092...b9f6
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
91ca3cc7a975...8bb9
Spent
Address:
Mew Finance (YF Worker)
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
9.22 ERG
#2
6bdbc23f48b0...801f
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
fb3c1cc470bd...ee1c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
80012335ea17...7e53
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
44ca0b538d14...0c9c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
20b12f9e5ae8...2d50
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
310a6562078a...5a4e
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
b8076a6db5cf...2bbe
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
02decedd5fad...f39d
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
0cd59b2d3869...7f98
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
b95c6ae49908...2962
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d43e7982f067...4549
Settlement height:
1,549,978
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
103108ea15ad...f92d
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
fcd74befc6d4...2684
Spent
Address:
Mew Finance (YF Worker)
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
9.21 ERG
#2
8955f7809632...1518
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
98d8ff95b23f...d21f
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
c3bcc96bce55...5b29
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
643ea021f42b...b149
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
f495b9cc35da...502e
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
624d0faf95c3...de46
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
8f421d4170dd...12c9
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
18e26c456aee...6547
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
19f157b29a3f...6073
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
841f034d4d6a...ae38
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
254f318a5d9d...a6c0
Settlement height:
1,549,980
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
21572edb435c...5b0a
Unspent
Address:
9gJmzbrDF3vx...YbWi
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
0
#13
c7e45a08e308...70d9
Spent
Address:
9gfXeCywP2dw...N1BW
Spent in transaction:
9b76fb1fec81...b51e
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
57.93
#14
c1d0d184f597...6e54
Spent
Address:
9gwjyPyHTKSv...6Tpt
Spent in transaction:
f9f33a29c29f...b61a
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
12.29
#15
1f9793a0ed55...521c
Spent
Address:
9gfXeCywP2dw...N1BW
Spent in transaction:
9b76fb1fec81...b51e
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
1
#16
c0ae13ca763c...956e
Spent
Address:
9gBJy4dzxTBB...cYZr
Spent in transaction:
f9724e66030b...8c8d
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
105.53
#17
c8e65a06f010...217d
Spent
Address:
9gfXeCywP2dw...N1BW
Spent in transaction:
9b76fb1fec81...b51e
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
8
#18
1f74974454cb...463a
Spent
Address:
9hnb24EeyERi...jrpr
Spent in transaction:
13802964f57b...6aff
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
74,676.63
#19
8c88494ce22e...15c1
Spent
Address:
9fEnUoiRuJTe...daUX
Spent in transaction:
b8b01c6c4f33...00d0
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
30.76
#20
8a0b0e9d3455...285f
Spent
Address:
9gfXeCywP2dw...N1BW
Spent in transaction:
9b76fb1fec81...b51e
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
2
#21
839beaa0e20f...57a1
Spent
Address:
9fEnUoiRuJTe...daUX
Spent in transaction:
b8b01c6c4f33...00d0
Settlement height:
1,549,980
Value:
0.0005 ERG
Tokens:
PHP
105.88
#22
081a7c3a715c...3a02
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
1c54552c1068...1292
Settlement height:
1,549,980
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 11.1 KB
Received time: 6/18/2025 07:09:09 PM
Included in blocks: 1,549,980
Confirmations: 222,103
Total coins transferred: 9.22 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000264 ERG
Raw Transaction Data
{
  "id": "4ada9bd44b75ecffdaccc2e5a6313c648ac58e821b155ba9d0245a1586de8432",
  "blockId": "9f48f3dd4acce12eeb63d88112593c8c385aca61d7c96160e8e20ad84039195f",
  "inclusionHeight": 1549980,
  "timestamp": 1750273749145,
  "index": 1,
  "globalIndex": 9100754,
  "numConfirmations": 222103,
  "inputs": [
    {
      "boxId": "4b975b4420920319e839cd627ba1c18ad559aebe4cb57064474d74ccda22b9f6",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "0155bbd091065c9e918ab11db261abc319d02c4b2982287c62bdca69e8a4b165",
      "outputTransactionId": "d43e7982f0675a09d8c58e861487874f81dbbdf8b495b851b6b92d9f2e8e4549",
      "outputIndex": 0,
      "outputGlobalIndex": 48433620,
      "outputCreatedAt": 1549976,
      "outputSettledAt": 1549978,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 5\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 3\n30: 0\n31: 0\n32: 9223372036854775807\n33: 0\n34: 0\n35: 1\n36: CBigInt(1)\n37: 0\n38: 0\n39: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll3(placeholder[Int](1))\n  val coll5 = SELF.R4[Coll[Int]].get\n  val l6 = SELF.R5[Long].get\n  val l7 = SELF.R6[Long].get\n  val tuple8 = coll2(placeholder[Int](2))\n  val tuple9 = coll3(placeholder[Int](3))\n  val tuple10 = coll2(placeholder[Int](4))\n  val tuple11 = coll3(placeholder[Int](5))\n  val tuple12 = coll2(placeholder[Int](6))\n  val tuple13 = coll3(placeholder[Int](7))\n  val coll14 = tuple13._1\n  val tuple15 = coll2(placeholder[Int](8))\n  val tuple16 = coll3(placeholder[Int](9))\n  val coll17 = tuple16._1\n  val l18 = tuple11._2\n  val l19 = tuple10._2 - l18\n  val l20 = tuple9._2\n  val i21 = coll5(placeholder[Int](10))\n  val i22 = HEIGHT - i21 + placeholder[Int](11)\n  val i23 = coll5(placeholder[Int](12))\n  val i24 = i22 / i23\n  val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n  val i26 = coll5(placeholder[Int](15))\n  val l27 = i26.toLong\n  val l28 = l6 / l27\n  val l29 = tuple12._2 - tuple13._2\n  val l30 = tuple16._2\n  val l31 = tuple15._2 - l30\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](16)) == tuple4) && (\n              (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n            )\n          ) && (box1.propositionBytes == SELF.propositionBytes)\n        ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n      ) && (coll2.size == placeholder[Int](17))\n    ) && if (l19 > placeholder[Long](18)) {(\n      val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n      val box33 = OUTPUTS(placeholder[Int](20))\n      (\n        (\n          (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n            l19 == !l29\n          )\n        ) && (l32 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n              (coll17, l32) == box33.tokens(placeholder[Int](25))\n            )\n          ) && box33.R6[SigmaProp].isDefined\n        ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](26)) {\n        (\n          (\n            (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n      } else {(\n        val i32 = box1.R7[Int].get\n        val i33 = i26 - i32\n        val l34 = i33.toLong\n        val l35 = placeholder[Long](32) - l30 - l18 * l34\n        if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n          (\n            (\n              ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n              )\n            ) && (l19 == placeholder[Long](37))\n          ) && (l29 == placeholder[Long](38))\n        } else { placeholder[Boolean](39) }\n      )}\n    }\n  )\n}",
      "address": "2JowFgqdee4yFVaXNsYuiAh1ge7HGxNSaDLiXQRKhtCYYRKgwMCeqMPi54qxpovt5TtjRVNNRabtZ7awzrcnqnmALG2Hjkwe2okjFn9odM7M3uhA9RQ2uBkkVsrY1P3FW8bUTx6qRjy4yHdtdS8YUzFCvmGZVHLteknL6RN9dueHbpLYRkyV2e5mYEzptufdxy81DwNpJphyJa9Y21ELHo75vk2t24kZS5Lgt5GDByQHRu3G4GTnPb4vMvew4wUFJh8xAwM1ffoEG946YZaWkSu48UUV4tw6Y5a4uDxZPEEiSDM36wookGfTixFeWVfM9YApPytQm8y1L1bsbcocQ9JTvBjixevx1BRagnvaJrwduuDbKYr3wwpo9PfK85xXprxrFgHBVwEof9gQs5TQFJ3ddKf1pftx6SJrHyNygX6CS4Vm3TG9dU32bs8inxSn4eVdwfRdhNiECZavPBBrzgfa9ismVpkwrcNbFZrAdNSFUpoKfiuFcsP6Be5tsE4ZsPD9sWEArhbGPqya88U8TftP9DqoD3xVPUmhMsB6pb6GfwQ1QxsenMhynSMBZ4fc6eyjdZWvzWeBKKs6AbVMX6EsSoptPvsbvpd664kBq99DsZ5Br6rQGjPDM1zPYsCpGUSW849qigHzHyNmYUCoVkDgfQA26TYKwFPLi7rxsJbSfAEhwQj5czRmfg11HafTYMcuSgryKP8ZzxTfTj5LxZFsXVjY9JWScT1tA5ZFjXZHxGENBporNPMbqWzusqMKvmyzTkZDwwyJV6nzcAFRDEjHd4MjzzsHbztt9XoYtWcYyKCYyMiAxsEqvc7VvuKXvTMEyzHnR1dSpqoP6bKpCwNKKZvrYX35GdxNdEKzQS6ccbNe98zvFQPrgQPa7BjYs1hgCWv6LLLWmqhhy9J6ca332st262t1BYjVLhYLEHSvLbsmM36hDtDjyoniTuW3zVmN51nV7bkZU1L1PQobFqp7uLvdieFt234Pz2RBgezeVTqkKqJLv7D2xKveVTUGJqsM8P7BghcLTyzEY9CZ3dXZRQVh2sXbhQEFqHdKpXL92eZTLZbg1AQYRpfL2p8AVVrbeWEuha3gmA5mv95zkmi5MPbDtxEekDaTLc9KXoWtSEPSy8zRMyhiws5",
      "assets": [
        {
          "tokenId": "aca9aba89c6490ce4c239985ba71e4ae1f81d71a4aac8150cf6c960107dd7c18",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "34d449dc84a27d0f8fb2166d415a7223604f6426fb2d83ee099f2312182d575d",
          "index": 1,
          "amount": 405000000000005,
          "name": "PHP",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "b893a8375c2c5a7404d9a28071942b9bf6e8ab0d5c512d6b7f4e3b2cb7fd85dd",
          "index": 2,
          "amount": 131982727162118,
          "name": "Mew Fund #18 ERG/rsDIS LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9e0ce34035412360a7560c45945a1178a076f345bab113bbff13fbdc19035a69",
          "index": 3,
          "amount": 9223240054127614000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2ec96ccdca115ca28d0d973aa8b2f0cba99bf4375c3a4bdf239f48d0d9e909d9",
          "index": 4,
          "amount": 9216244969588021000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004a00bec02c8fbb001a00b",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[720,182,1449700,720]"
        },
        "R5": {
          "serializedValue": "0580c0f2c1baddec04",
          "sigmaType": "SLong",
          "renderedValue": "1365000000000000"
        },
        "R6": {
          "serializedValue": "05d805",
          "sigmaType": "SLong",
          "renderedValue": "364"
        },
        "R7": {
          "serializedValue": "048002",
          "sigmaType": "SInt",
          "renderedValue": "128"
        }
      }
    },
    {
      "boxId": "91ca3cc7a97580333dffa6dbeaccc810dfebe3b037084314edf7a1bd4a8b8bb9",
      "value": 9218346000,
      "index": 1,
      "spendingProof": "125b41a3065f4a5e8531fad4887b78d38262b2e06ebf232b11158ea3a5aa2b3489e102dca4381958bb70850b5d4636414da20bbbc5221fb0",
      "outputBlockId": "0155bbd091065c9e918ab11db261abc319d02c4b2982287c62bdca69e8a4b165",
      "outputTransactionId": "d43e7982f0675a09d8c58e861487874f81dbbdf8b495b851b6b92d9f2e8e4549",
      "outputIndex": 1,
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          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R5": {
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          "sigmaType": "Coll[SByte]",
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        "R6": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "02eb7f794317ae772c954f288d2f7ccb15c2b8fc64260b6c7f6d13800002c0ee08"
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "5048505f4d65772046756e6420233138204552472f7273444953204c505f5946"
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      "outputGlobalIndex": 48433631,
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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  "dataInputs": [],
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      "index": 21,
      "globalIndex": 48433696,
      "creationHeight": 1549978,
      "settlementHeight": 1549980,
      "ergoTree": "0008cd025ebd07938eaf6ebd934a632b403c17a07ce20e94e1fafdf6ad503f7e73e9aa1e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ebd07,396297,...)))}",
      "address": "9fEnUoiRuJTe6VF6ezzLZpxbZGeYrbRuUQEqprmHGgJW65vdaUX",
      "assets": [
        {
          "tokenId": "34d449dc84a27d0f8fb2166d415a7223604f6426fb2d83ee099f2312182d575d",
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      ],
      "additionalRegisters": {},
      "spentTransactionId": "b8b01c6c4f33bf3a80296c01e99eb7910c569e4732ef5a30bf37ef07375700d0",
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    },
    {
      "boxId": "081a7c3a715ca40d40aeed03a83e2749de40eadd56397c8bed49bad0a1013a02",
      "transactionId": "4ada9bd44b75ecffdaccc2e5a6313c648ac58e821b155ba9d0245a1586de8432",
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      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
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      "additionalRegisters": {},
      "spentTransactionId": "1c54552c10687a6ce6716cd522f1583508ea211e06fe591da94c44c62e2a1292",
      "mainChain": true
    }
  ],
  "size": 11364,
  "isUnconfirmed": false
}