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Transaction

1/25/2024 05:21:21 AM
ID: bd27e80c2b...762a
Inputs (12)
#0
b74a16c3796d...a192
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
af0d2811841b...c598
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
497220f18999...43b5
Spent
Address:
9hVmDmyrLoNA...CyMg
Output transaction:
af0d2811841b...c598
Settlement height:
1,185,492
Value:
9.92 ERG
#2
5baa04ed172c...59cd
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
3c72f4a53d2d...f5d7
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
d90c982e5a22...ce8d
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
26b413f0fb00...2c60
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
d24174df55c0...1c58
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
dfc157af22da...e373
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
86d307971862...1416
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
be0c5bdc53b1...5966
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
860c7c159582...c10c
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
3491b8c8c133...6696
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
739f0778cf67...08fd
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
bf2d65413e8b...44b5
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
739f0778cf67...08fd
Settlement height:
1,184,772
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
c84560eb4438...a3dd
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
e62ddf6c6d1c...2674
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
a3e3bb2cbb5b...c48e
Spent
Address:
9hVmDmyrLoNA...CyMg
Spent in transaction:
e62ddf6c6d1c...2674
Settlement height:
1,185,492
Value:
9.91 ERG
#2
0d12bb3fe980...4ef5
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
2a65393ce427...3283
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
71b66e8e7b83...2882
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
21d3894d1d45...9f4b
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
5cbe0c391215...8449
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
bf95f45fcba0...7f6c
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
3fd82b447164...34c0
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
b8f3ccc3c8ff...256e
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f350f0b8a384...2899
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
a924f3a04bac...1ec9
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
4c5675c3ae4b...ea3a
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
56bf94183ce9...2db6
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
4c5675c3ae4b...ea3a
Settlement height:
1,185,492
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
f4036ae69ade...a0e0
Spent
Address:
9fmj52TaUxDv...gyaT
Spent in transaction:
1ab19fc82436...1b0e
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
198.89
#13
9affe6731bb0...9e40
Spent
Address:
9ggp8PyhoKPv...GZPw
Spent in transaction:
3e185f65454e...f2fe
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
1
#14
f6a92bb483db...eb2f
Spent
Address:
9fcwQjb9zhj5...47Wm
Spent in transaction:
897f86366a06...ca8e
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
11.63
#15
c5df32f00c7c...bc6c
Spent
Address:
9fFh5Sq3JPWc...Pg2Q
Spent in transaction:
45b60bf78510...0659
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
6
#16
3f1d72840f3c...a800
Spent
Address:
9ehQqeC5XpQd...5FBY
Spent in transaction:
fd28ddae93a2...2b7d
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
1
#17
9b2ee06a6c62...9731
Spent
Address:
9edcYjY1E3Jj...QBzN
Spent in transaction:
db3e48417603...a3e7
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
1
#18
6924af7c7554...e6f4
Spent
Address:
9hcqyWZFuQyC...5yPK
Spent in transaction:
f2d109c25bfd...e194
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
1
#19
94425736e96a...eb9c
Spent
Address:
9gNEKbpPSNfg...RsEQ
Spent in transaction:
a9857482bde1...104d
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
83.33
#20
3c4806c0b01f...4677
Spent
Address:
9gXFREBrp6bQ...P59Y
Spent in transaction:
1be92015dc95...2bde
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
10.22
#21
4736aba763c1...e6b4
Spent
Address:
9hAbGg1wkxaz...tzhZ
Spent in transaction:
42c149c68d09...e501
Settlement height:
1,185,492
Value:
0.00025 ERG
Tokens:
SPF
1
#22
34760efbc981...cf0d
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
8997cb7c57a9...7abb
Settlement height:
1,185,492
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 11.12 KB
Received time: 1/25/2024 05:21:21 AM
Included in blocks: 1,185,492
Confirmations: 570,824
Total coins transferred: 9.92 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000263 ERG
Raw Transaction Data
{
  "id": "bd27e80c2beff43efe039b76e6005e0c06ea499a2bc47c06a1cdfd11cacc762a",
  "blockId": "1b10294b3cba4eb26b7c136f87fdac7a6819e6f12788402b65e49a1ae5ff8e9c",
  "inclusionHeight": 1185492,
  "timestamp": 1706160081517,
  "index": 69,
  "globalIndex": 6522391,
  "numConfirmations": 570824,
  "inputs": [
    {
      "boxId": "b74a16c3796d1f307a6d8b26b7895b63f838f9fcfebd232c3641af36668ca192",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "1b10294b3cba4eb26b7c136f87fdac7a6819e6f12788402b65e49a1ae5ff8e9c",
      "outputTransactionId": "af0d2811841b9f3e6359352cad3f84fdf145b625bbe0634eefbe28b31eaec598",
      "outputIndex": 0,
      "outputGlobalIndex": 36384877,
      "outputCreatedAt": 1185490,
      "outputSettledAt": 1185492,
      "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": "5f22cb20453e0856acb4b40e4ee2430e4b73a5abe4e72a0b2235a0adfb48a2be",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 1,
          "amount": 67996538289,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
          "index": 2,
          "amount": 26993335069479,
          "name": "Ergo_Spectrum Finance_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8c877434025cc85896ef2038d7ee40e0868bd3f2776c9f4a4e3d85bcaf512b10",
          "index": 3,
          "amount": 9223345043519706000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b970177c79ee09a9d31602c3fa97afa04ed7e64a1e3e09e6d4469039abd8303d",
          "index": 4,
          "amount": 9223151789727520000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004a00be802a4cc8101a00b",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[720,180,1061650,720]"
        },
        "R5": {
          "serializedValue": "0580e0bcefa757",
          "sigmaType": "SLong",
          "renderedValue": "1500000000000"
        },
        "R6": {
          "serializedValue": "059003",
          "sigmaType": "SLong",
          "renderedValue": "200"
        },
        "R7": {
          "serializedValue": "04d802",
          "sigmaType": "SInt",
          "renderedValue": "172"
        }
      }
    },
    {
      "boxId": "497220f189990524997e03be97f23fb02b6540452ca1fc335f400f48f81343b5",
      "value": 9918535440,
      "index": 1,
      "spendingProof": "787fd6cf4942427e83acef274f869fb50044ba24bfa68c3dbb97ad58a436fe7b57297c7d22d98bf3da970d9dd1d0a377d8659eec151cfc62",
      "outputBlockId": "1b10294b3cba4eb26b7c136f87fdac7a6819e6f12788402b65e49a1ae5ff8e9c",
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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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      "assets": [
        {
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          "index": 0,
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        {
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          "index": 1,
          "amount": 297374954094,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
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        {
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          "amount": 1,
          "name": "Spectrum YF staking bundle",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
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          "serializedValue": "0e1a537065637472756d205946207374616b696e672062756e646c65",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
        },
        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203566323263623230343533653038353661636234623430653465653234333065346237336135616265346537326130623232333561306164666234386132626529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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          "sigmaType": "SSigmaProp",
          "renderedValue": "0307d1ad254993f96bfd7187b79467b2a81852f036eb30abad7657704ea2b5bc1b"
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          "sigmaType": "Coll[SByte]",
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    {
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      "index": 11,
      "spendingProof": null,
      "outputBlockId": "906e0135546168501a2a6a8e41018be62f4d34609459c90af12d9705ba7a9f22",
      "outputTransactionId": "739f0778cf6760d301d2c5c2e9339993ae358528648f021ac0531e2b45fb08fd",
      "outputIndex": 3,
      "outputGlobalIndex": 36359751,
      "outputCreatedAt": 1184770,
      "outputSettledAt": 1184772,
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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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      "assets": [
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  "dataInputs": [],
  "outputs": [
    {
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      "transactionId": "bd27e80c2beff43efe039b76e6005e0c06ea499a2bc47c06a1cdfd11cacc762a",
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      "index": 0,
      "globalIndex": 36384900,
      "creationHeight": 1185490,
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      "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}",
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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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      "spentTransactionId": "1be92015dc95e3e73dee302aa035d0af000eb2196d91dbce15db23f1efed2bde",
      "mainChain": true
    },
    {
      "boxId": "4736aba763c1a57b07cf91218594d9e33e40b82ebda55b6686a4f6b1e3c6e6b4",
      "transactionId": "bd27e80c2beff43efe039b76e6005e0c06ea499a2bc47c06a1cdfd11cacc762a",
      "blockId": "1b10294b3cba4eb26b7c136f87fdac7a6819e6f12788402b65e49a1ae5ff8e9c",
      "value": 250000,
      "index": 21,
      "globalIndex": 36384921,
      "creationHeight": 1185490,
      "settlementHeight": 1185492,
      "ergoTree": "0008cd035c9bf95a6bfc3650bf1a55fd0064b877feda89207724cbbb8ede7f20cd464185",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5c9bf9,131d32,...)))}",
      "address": "9hAbGg1wkxaz9qdHy4yuo3koqHJGMR5Toe4FXki6JkTLaVxtzhZ",
      "assets": [
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 0,
          "amount": 522584,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "42c149c68d091f49ea12c3e41fbebaa2c8aff1a91dd72e31aacf7d795010e501",
      "mainChain": true
    },
    {
      "boxId": "34760efbc98129654f9b83169003ffddc6e451af1310a540dd740552ecd8cf0d",
      "transactionId": "bd27e80c2beff43efe039b76e6005e0c06ea499a2bc47c06a1cdfd11cacc762a",
      "blockId": "1b10294b3cba4eb26b7c136f87fdac7a6819e6f12788402b65e49a1ae5ff8e9c",
      "value": 3000000,
      "index": 22,
      "globalIndex": 36384922,
      "creationHeight": 1185490,
      "settlementHeight": 1185492,
      "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": "8997cb7c57a9ac6a567eb9b38c917d64d65e06ff37444d30e7bec1127eb77abb",
      "mainChain": true
    }
  ],
  "size": 11387,
  "isUnconfirmed": false
}