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Transaction

12/4/2023 03:53:58 PM
ID: 5bc975ea23...eaeb
Inputs (12)
#0
dbbb1ab77523...131c
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
ac1d9d43d92e...632e
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
75f5969d76c0...56b2
Spent
Address:
9hodDWDNFhzm...fnMi
Output transaction:
ac1d9d43d92e...632e
Settlement height:
1,148,772
Value:
1.27 ERG
#2
5a3ae527b072...39c9
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
7b54346b83d5...2803
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
85c81da28c59...34b1
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
a29c0728847e...ecd1
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
06fa038614ec...c52b
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
a198aaf2dcff...9ff9
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
bfdafa68b075...a5d5
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
35c564bed555...c4af
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
f4cc0e129130...4c78
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
acab5f74c176...1aa0
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
7c0ea7da093e...04c6
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
a60674411633...a0f0
Settlement height:
1,148,053
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
ad12237360aa...5899
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
84aeefe54c01...4666
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
ca84d83743ac...50e7
Spent
Address:
9hodDWDNFhzm...fnMi
Spent in transaction:
84aeefe54c01...4666
Settlement height:
1,148,772
Value:
1.27 ERG
#2
02848d242b47...d58f
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
e5c3331f614a...038f
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
6520b6d2081d...c353
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
1310c27825d9...bd64
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
b85fdbd1bfb7...d0af
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
35613fc5095d...fab3
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
0b55812528cb...1604
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
861a40828741...17aa
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
93aea7c14980...83a6
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c07b773635cd...5ba7
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
9244f08ad015...8a0d
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
14b15d79d8b7...dbe2
Settlement height:
1,148,772
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
b3c2937e191e...2772
Spent
Address:
9hAbGg1wkxaz...tzhZ
Spent in transaction:
5e4734b1f3fb...a7b2
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#13
5cd2d1bbccf6...7ed1
Spent
Address:
Baseless Bureau of Investigation (Giga Whale)
Spent in transaction:
f8d7d32748a6...a8e1
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
135.67
#14
6544882b96d2...eda9
Spent
Address:
9iEaUwGH8EHj...5sRk
Spent in transaction:
2afde1ed2566...bdf4
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#15
288b61ec88fc...d3a4
Spent
Address:
9hmPbT4RYW3T...h6nA
Spent in transaction:
2ceb4d369721...312a
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#16
62df9ac7f831...0657
Spent
Address:
9earjpNKvyq5...gYWV
Spent in transaction:
a6ec9f0a1423...d67c
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#17
7aa3a644daa8...a83e
Spent
Address:
9gcmnxYra1FH...cr9C
Spent in transaction:
16769d41b8f1...5992
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
1
#18
eabb3bf0e95b...5acb
Spent
Address:
9fcKyPV3kNM2...CXuo
Spent in transaction:
0c1fafbc9c5e...d948
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#19
d8df620606be...d6d5
Spent
Address:
9hAbGg1wkxaz...tzhZ
Spent in transaction:
5e4734b1f3fb...a7b2
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
1
#20
427413b6c7ac...e29b
Spent
Address:
9f1f3yyp6WYr...jAaG
Spent in transaction:
8da7b4255a32...355d
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
0
#21
e14d3f3f6ebc...00a9
Spent
Address:
9fDHgfxRdvTz...YPeb
Spent in transaction:
dac17ec91236...3fea
Settlement height:
1,148,772
Value:
0.00025 ERG
Tokens:
SPF
4
#22
920f08aaf1ec...e284
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
9ff95dd0b09b...4965
Settlement height:
1,148,772
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 11.08 KB
Received time: 12/4/2023 03:53:58 PM
Included in blocks: 1,148,772
Confirmations: 612,190
Total coins transferred: 1.28 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000264 ERG
Raw Transaction Data
{
  "id": "5bc975ea239c8594ee77aee1629656c166fa558cc7dfd5847339f7f44184eaeb",
  "blockId": "c98425c82f8d1f368a1316fe3079f40d23ff4e5170d47de57f7d80b103272022",
  "inclusionHeight": 1148772,
  "timestamp": 1701705238894,
  "index": 49,
  "globalIndex": 6214572,
  "numConfirmations": 612190,
  "inputs": [
    {
      "boxId": "dbbb1ab77523a6c253544482834240934c7380f732d8b32384648060fbe2131c",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "c98425c82f8d1f368a1316fe3079f40d23ff4e5170d47de57f7d80b103272022",
      "outputTransactionId": "ac1d9d43d92e9229a01f7c409207d90c526609663404f9d6f7e90a06db4e632e",
      "outputIndex": 0,
      "outputGlobalIndex": 34790670,
      "outputCreatedAt": 1148770,
      "outputSettledAt": 1148772,
      "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": 497078854054,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
          "index": 2,
          "amount": 39789293181298,
          "name": "Ergo_Spectrum Finance_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8c877434025cc85896ef2038d7ee40e0868bd3f2776c9f4a4e3d85bcaf512b10",
          "index": 3,
          "amount": 9223332247561595000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b970177c79ee09a9d31602c3fa97afa04ed7e64a1e3e09e6d4469039abd8303d",
          "index": 4,
          "amount": 9220998629454564000,
          "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": "04f201",
          "sigmaType": "SInt",
          "renderedValue": "121"
        }
      }
    },
    {
      "boxId": "75f5969d76c0da0dc3f74d05932398766257797f321b0d991d8a68ff79fd56b2",
      "value": 1271790000,
      "index": 1,
      "spendingProof": "3c5a3086d864984fecf0e487d5d3c60a58407503445f879e6c34f52b87c9a2191960b961d338a0c88dabd24d9535409db62022c1f1224667",
      "outputBlockId": "c98425c82f8d1f368a1316fe3079f40d23ff4e5170d47de57f7d80b103272022",
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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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      "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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      "outputGlobalIndex": 34762750,
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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": [],
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      "globalIndex": 34790714,
      "creationHeight": 1148770,
      "settlementHeight": 1148772,
      "ergoTree": "0008cd025b572939813037e9a29a9b5f6d64789b4d04315b0bb569a190bf3e4008558835",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5b5729,6a1d91,...)))}",
      "address": "9fDHgfxRdvTzfALG3Hoct45EiwboPGCS289sTHoY3waHwZhYPeb",
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        {
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          "amount": 4450833,
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      "spentTransactionId": "dac17ec9123696dd6cad78f64e60c1730c0d824a2f318688086172d4804d3fea",
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    },
    {
      "boxId": "920f08aaf1ecc91a66a4a90cb1d539031021fede89ffd412ce3147101880e284",
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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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      "spentTransactionId": "9ff95dd0b09bbf43464ae09c2027523fb676208aacf7620ea4e9ae9aa5e14965",
      "mainChain": true
    }
  ],
  "size": 11351,
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}