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Transaction

12/20/2023 08:06:52 PM
ID: 53952655cc...2210
Inputs (12)
#0
9e9e7406b33d...85c8
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
aca7bfa4ceeb...dab1
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
ad7b755a1f98...3a96
Spent
Address:
9hVmDmyrLoNA...CyMg
Output transaction:
aca7bfa4ceeb...dab1
Settlement height:
1,160,292
Value:
35.51 ERG
#2
66463527832d...2efc
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
3e37939796b9...d1c1
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
6cc357d879f1...9738
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
3e37939796b9...d1c1
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
08ec595f834a...5b97
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
ef8d84e23bce...a35e
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
4a7c6990289b...30be
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
a6230bb8f82d...9a0f
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
d1bfc737b67b...d526
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
359d031364bf...828a
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
ca02521684ad...4932
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
c75b021ecf92...09ca
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
d9537a47f99a...003c
Settlement height:
1,159,572
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
040a72c7b5c3...723e
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
b2bd334fba00...7415
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
97e54d10cd18...d098
Spent
Address:
9hVmDmyrLoNA...CyMg
Spent in transaction:
b2bd334fba00...7415
Settlement height:
1,160,292
Value:
35.5 ERG
#2
fffef7db6975...1c08
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
edb56266d4b0...0d58
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
ab730f6948df...0817
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
2a49ca8d75e7...d98a
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
2a6465cc78dd...0881
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
6dc9bff33ea2...2537
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
c464fac4a523...592c
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
20681f3fe2c3...b527
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
05053e129ae7...9bd0
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
86af7340b3ab...b291
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
436168dd56b2...3374
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
6b1e58c5b132...c832
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
436168dd56b2...3374
Settlement height:
1,160,292
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
3ab3f771c051...7a42
Spent
Address:
9hKEV6GS6Lz2...Gt5k
Spent in transaction:
e25d45abb662...d050
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#13
e18a8e667d4a...1e2d
Spent
Address:
9ezCcRqp5msy...BsTR
Spent in transaction:
7f7dcb169a03...e65b
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#14
76ea00453a61...341a
Spent
Address:
9fGhMmx2KVpw...pF9S
Spent in transaction:
c5386c1b3593...5695
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#15
36f2900229b3...447a
Spent
Address:
9heE2spYRJcH...m8w5
Spent in transaction:
bf72b39026c7...2217
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
0
#16
03f5e5e1a6c8...2e4d
Spent
Address:
9hcqyWZFuQyC...5yPK
Spent in transaction:
a96278913f8e...0ea9
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#17
a6b2eb59dfb5...33aa
Spent
Address:
9fmksSKWcRfH...cKoH
Spent in transaction:
07f281e79bc5...0322
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#18
4231efe31a0c...372d
Spent
Address:
9fjQi1JrgFZ9...nMzN
Spent in transaction:
2bfd59029c8f...ee8f
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
1
#19
14a46b30193f...a537
Spent
Address:
9g8STmjX62d1...VTQ3
Spent in transaction:
60e6082313a0...6d74
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
0
#20
18c86d5b9454...c044
Spent
Address:
9evFNk67wp49...3QQB
Spent in transaction:
cbfad8e4400a...aa1b
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
8
#21
8cd4d1855c1e...ddb8
Spent
Address:
Baseless Bureau of Investigation (Giga Whale)
Spent in transaction:
f673462b415a...77b1
Settlement height:
1,160,292
Value:
0.00025 ERG
Tokens:
SPF
11.67
#22
460afe7b43ae...e48c
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
18978e981199...6130
Settlement height:
1,160,292
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 11.15 KB
Received time: 12/20/2023 08:06:52 PM
Included in blocks: 1,160,292
Confirmations: 608,805
Total coins transferred: 35.51 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000263 ERG
Raw Transaction Data
{
  "id": "53952655cc536c227d47cdfa9934362db15eda98d32c469557e49e761db72210",
  "blockId": "9fddee0b6fb2ac408a2e211448e76cb9fc75737b82449ded998e0676749ed561",
  "inclusionHeight": 1160292,
  "timestamp": 1703102812065,
  "index": 14,
  "globalIndex": 6297402,
  "numConfirmations": 608805,
  "inputs": [
    {
      "boxId": "9e9e7406b33d324f6f564f248c80a5467135eb434be4467cdc31494cb6f185c8",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "9fddee0b6fb2ac408a2e211448e76cb9fc75737b82449ded998e0676749ed561",
      "outputTransactionId": "aca7bfa4ceeb25ddbc8b87702aec3142af66142ac129d70ff9e9c9244fcedab1",
      "outputIndex": 0,
      "outputGlobalIndex": 35223276,
      "outputCreatedAt": 1160290,
      "outputSettledAt": 1160292,
      "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": "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",
      "assets": [
        {
          "tokenId": "5f22cb20453e0856acb4b40e4ee2430e4b73a5abe4e72a0b2235a0adfb48a2be",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 1,
          "amount": 365694170915,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
          "index": 2,
          "amount": 39031017593732,
          "name": "Ergo_Spectrum Finance_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8c877434025cc85896ef2038d7ee40e0868bd3f2776c9f4a4e3d85bcaf512b10",
          "index": 3,
          "amount": 9223333005837182000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b970177c79ee09a9d31602c3fa97afa04ed7e64a1e3e09e6d4469039abd8303d",
          "index": 4,
          "amount": 9221659579509899000,
          "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": "049202",
          "sigmaType": "SInt",
          "renderedValue": "137"
        }
      }
    },
    {
      "boxId": "ad7b755a1f985b30f19237b52aa26588b4e475f65dac13eb6f895fb253d33a96",
      "value": 35506582920,
      "index": 1,
      "spendingProof": "7426cbc547e87b41daffefb557e39a8b6a02660b03450ce76cc1ab16840ade8f6859e4dfe85db0d80875522161d0816585da24e873277080",
      "outputBlockId": "9fddee0b6fb2ac408a2e211448e76cb9fc75737b82449ded998e0676749ed561",
      "outputTransactionId": "aca7bfa4ceeb25ddbc8b87702aec3142af66142ac129d70ff9e9c9244fcedab1",
      "outputIndex": 1,
      "outputGlobalIndex": 35223277,
      "outputCreatedAt": 1160290,
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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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          "sigmaType": "Coll[SByte]",
          "renderedValue": "5350465f4572676f5f537065637472756d2046696e616e63655f4c505f5946"
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          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865205350462f4572676f5f537065637472756d2046696e616e63655f4c502028706f6f6c2069643a203566323263623230343533653038353661636234623430653465653234333065346237336135616265346537326130623232333561306164666234386132626529207969656c64206661726d696e6720706f6f6c206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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      "outputGlobalIndex": 35198370,
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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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      "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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      "ergoTree": "0008cd023009dee1bf10a97e8e3615f74160c37577e8e9519a15d7fe36a8ce014c02bc1c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3009de,2a4c69,...)))}",
      "address": "9etDbVVWiZqQyPdKy8zn1XnLK4xH3h7ojxj9joPXRA7PHxfSejf",
      "assets": [
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 0,
          "amount": 11665172,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "f673462b415aa89ae708d8f247e2818576c1985b7248665477d30d4fa25f77b1",
      "mainChain": true
    },
    {
      "boxId": "460afe7b43ae54c3b78274f66ebf7dc7219d9f16ca03cbf375c6af4d237de48c",
      "transactionId": "53952655cc536c227d47cdfa9934362db15eda98d32c469557e49e761db72210",
      "blockId": "9fddee0b6fb2ac408a2e211448e76cb9fc75737b82449ded998e0676749ed561",
      "value": 3000000,
      "index": 22,
      "globalIndex": 35223321,
      "creationHeight": 1160290,
      "settlementHeight": 1160292,
      "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": "18978e981199615e92f9881f954d6672b0d2172535bf6f1ec564d5930ac76130",
      "mainChain": true
    }
  ],
  "size": 11422,
  "isUnconfirmed": false
}