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Transaction

4/2/2023 07:11:12 PM
ID: 8a5ceaaf03...f965
Inputs (12)
#0
6c9e15ce566e...3466
Spent
Address:
2JowFguNN2xR...ffzC
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
116c45e80a9b...8f0a
Spent
Address:
9hkfeMZj1p3r...kKvj
Output transaction:
043250af2d3b...69ef
Settlement height:
970,656
Value:
3 ERG
#2
68279359e068...c9bd
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
4d507b003bb7...84ed
Settlement height:
972,970
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
80293a3d0068...e409
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
8a94da1c5eff...5aef
Settlement height:
972,871
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
8b0f0181de98...ef4f
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
b45bfde53ed0...3fcf
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
4312c7f2b9f4...3659
Settlement height:
972,943
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
f49603442d7f...f0d4
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
42bc3a46f9c3...c2a7
Settlement height:
972,834
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
a84587ec84b8...c4e0
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
53dec5cd6bc0...383e
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
bee48e67efad...db47
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
84a68ee4e473...3af0
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
42030ba3d1ad...8444
Settlement height:
972,955
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
d308d09d3bce...4f11
Spent
Address:
ivjvU1Mm23hR...z4qK
Output transaction:
7f0e093b8741...04c0
Settlement height:
973,204
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
da4f560e53dc...6d72
Spent
Address:
2JowFguNN2xR...ffzC
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
b1b9d308b689...0a35
Spent
Address:
9hkfeMZj1p3r...kKvj
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
3 ERG
#2
e6d0d7dc5d85...bf9a
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
c11c18d278fb...326e
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
095039df3c54...167f
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
733c8ed54fe8...c71c
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
a060b5b94dcd...3898
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
5c67ecb676a9...1e1f
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
44753804d4c2...ed8d
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
68fb25bc681e...ca04
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
e4c80d4e2fbf...90bf
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
0076a8a298f1...6850
Spent
Address:
ivjvU1Mm23hR...z4qK
Spent in transaction:
b290eb96b92d...2c24
Settlement height:
973,903
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
bc8769cf836d...acf8
Spent
Address:
9gxaQXAAHpkv...JnPL
Spent in transaction:
8d2559456072...0fe7
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
27.80
#13
62265cb2b495...5190
Spent
Address:
9g8kB1gxgHvP...e91y
Spent in transaction:
bb43b86e066e...4539
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
10.15
#14
56dc7e8860df...d806
Spent
Address:
9g8kB1gxgHvP...e91y
Spent in transaction:
bb43b86e066e...4539
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
12.44
#15
a5715b65b785...e115
Spent
Address:
9i26Lf4u2nNK...THBY
Spent in transaction:
81205c99a73d...9e6a
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
5
#16
5f4cb08926d6...9af3
Spent
Address:
9g8kB1gxgHvP...e91y
Spent in transaction:
bb43b86e066e...4539
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
10.15
#17
99453fbabfb4...4787
Spent
Address:
9enXSUXqDcBk...yj6K
Spent in transaction:
91d33ee53bf2...dd1a
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
65.47
#18
5fd56c446956...e183
Spent
Address:
9fSNgwa3YdXd...3TFJ
Spent in transaction:
6dc8f94add1d...a3e2
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
2,864.34
#19
fbd12af33658...4c1f
Unspent
Address:
9hjbChmN5WSN...BVYo
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
0
#20
ba82685c26c2...2489
Spent
Address:
9i26Lf4u2nNK...THBY
Spent in transaction:
81205c99a73d...9e6a
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
2
#21
18ca59f1e54d...5dd4
Spent
Address:
9hkoAZc7wCis...3hKX
Spent in transaction:
7a33ad85a499...8d16
Settlement height:
973,903
Value:
0.00025 ERG
Tokens:
tSPF
3
#22
8c097aa366c9...7f97
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
bc5092b22f93...5fbf
Settlement height:
973,903
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 10.84 KB
Received time: 4/2/2023 07:11:12 PM
Included in blocks: 973,903
Confirmations: 785,314
Total coins transferred: 3.01 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000009 ERG
Raw Transaction Data
{
  "id": "8a5ceaaf03a9d24a81b93dbe33daee4fbd1c57e802e599078307d93db892f965",
  "blockId": "93ad9d57f21f86a2bbc84065287e46485f721cdc098f7c255cbe6f4a091e2fe1",
  "inclusionHeight": 973903,
  "timestamp": 1680462672965,
  "index": 4,
  "globalIndex": 4993778,
  "numConfirmations": 785314,
  "inputs": [
    {
      "boxId": "6c9e15ce566e2f4e8b5f183e480bed1dc1ddbde4e8de9139197d1bbc322f3466",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b73c867d7be98d1938fc599f51d3bf5c93af943334d41b4298981e808f924a53",
      "outputTransactionId": "7f0e093b8741869c6b5e8f6d84e3224a585277f0fc49dd6b830c2ac1ce2504c0",
      "outputIndex": 0,
      "outputGlobalIndex": 27942717,
      "outputCreatedAt": 973199,
      "outputSettledAt": 973204,
      "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: CBigInt(1)\n17: 0\n18: 5\n19: 0\n20: 0\n21: 2\n22: 1\n23: 1\n24: Coll(32,69,99,-113,-34,91,40,-37,15,8,-45,-21,-30,-122,99,-68,33,51,51,72,-51,118,121,-31,21,0,-109,26,127,-112,112,-112)\n25: 0\n26: 1\n27: 0\n28: 1\n29: 1\n30: 3\n31: 0\n32: 0\n33: 9223372036854775807\n34: 1\n35: 0\n36: 0\n37: 1\n38: 0\n39: 0\n40: 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  val bi32 = placeholder[BigInt](16)\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](17)) == 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](18))\n    ) && if (l19 > placeholder[Long](19)) {(\n      val l33 = l19 * l27 - max(placeholder[Long](20), i25.toLong)\n      val box34 = OUTPUTS(placeholder[Int](21))\n      (\n        ((l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](22) } - placeholder[Int](23).toLong * l28) && (l19 == !l29)) && (l33 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box34.propositionBytes) == placeholder[Coll[Byte]](24)) && ((coll14, l19) == box34.tokens(placeholder[Int](25)))) && (\n              (coll17, l33) == box34.tokens(placeholder[Int](26))\n            )\n          ) && box34.R6[SigmaProp].isDefined\n        ) && (box34.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](27)) {\n        (\n          (\n            (l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](28) } - placeholder[Int](29).toLong * l28) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](30))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](31) } else { l29 * l27 - max(placeholder[Long](32), i25.toLong) })\n      } else {(\n        val i33 = box1.R7[Int].get\n        val i34 = i26 - i33\n        val l35 = i34.toLong\n        val l36 = placeholder[Long](33) - l30 - l18 - placeholder[Long](34) * l35\n        if ((l36 > placeholder[Long](35)) && (l31 > placeholder[Long](36))) {\n          (\n            (\n              ((i33 <= i25 - placeholder[Int](37)) && (l20 - l35 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i34.toBigInt / i26.toBigInt - bi32 * l31.toBigInt / l36.toBigInt + bi32\n              )\n            ) && (l19 == placeholder[Long](38))\n          ) && (l29 == placeholder[Long](39))\n        } else { placeholder[Boolean](40) }\n      )}\n    }\n  )\n}",
      "address": "2JowFguNN2xRcYi3GANwoCnk46sVvc2D6oT27A2xbj5DsDEj2TMJbZmR8iqtWCbobi7hEvhkXQeMZn7wDMeL6gGtLy3BmUUZ1KNFWLbiU6Cx731W33a2BS9wATDbUnkJcfWboYmXydrBFc5wxhAr8e6fstHBpQ5UFLW759TwY5uu7SQaToMZKKGaDgqaRv1qMgEanaUF7YVGP2AdQseyJbw1HjJASpmoFUb5MnqmT2vYjToHJfC4qoJZtP4ZdXb3uKeBq3t7Q6j9s2W18KrZKrMNBRq3bjrDYwJPKoFH3iJmJtnZygY4Athjz8vdJiKJr9g1UcWbjXYLGh6qRxWe65bCQjoVYJBjDZcYX9rYyXQaMhJuyANJon6puc5LNvRx8SB9tXVaxw6Yueb4xrgNQmsaCxew8MduBvWNVxQtjRPrQ65NMF7ne7Kf3FXR1PQmQH58jKYHC2h8TsnTyQQPY8TcEJdw8L4CL94JtfheFKPUQeheirFMeAux5cScnX54JzpahbGuigqSweXBgRJEqovfSizMXLTWsy3aYX3SzdgUkqRw74SCYtza6hXFws6M9LvBmTCEyC7go3j2XdAqtjzJwVwpe1A3gto3djyRCN8DHE1dQ57EnojYx9XCSNh2R4A2F1y7votgsjC5vdZvp376kUc847mAMYmtawi2FeLKJZENUUN9MwBVyH6ZqWwQhkhhe3Qi3wyhFwNMR2Kp6q7eUPCjs4yPu5tZtTS4HNQfqrWa4LhyzxGypZaKFGtmDKVGCfXoueAezbd8f7ziZZrjXZdfarLeiDsebDsCizjCufhXZSTTwx1kzSnBsAyvXmnFHLdLCX7uVVzSV4UYeaNYAWGL6jgmDicyQc5n5C9ejEKc4FsH15GnED1apxM661e9aUAEq8joYHbsJWSDZWpfENovTdN7VU7jUZuovrCnfZ2rC582TyWfHkzi6bs5qTAaLbPY6ghVugN8YHe3YdRGfdEiuGJtgEGYZ4MYSPWVm1yanUgkQE6CtkQXbVGoYZK1KbMrStJn8WpyATv4CoBKdE34EC3NNLumA4MvDH6SP4UQHWFAksZCL2SNmTNYzD69CcVZgmq3kiYQiNYgdxseKyqWtUuCCZVszUqsByBwZgW6WKCoJGJffzC",
      "assets": [
        {
          "tokenId": "8d7eb3a9b934232b01773dde09efae7d0924fc7c24e77497e27b7bda2241b36f",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "50eab1afc495420c17c0df5154584cf09d9167263fffc99c25e3e0ae4b26fe00",
          "index": 1,
          "amount": 294000000009,
          "name": "tSPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "cb0b42a58d38104c906444b43d1e03c8d553f79b06244cb4c98d93b46875040e",
          "index": 2,
          "amount": 7702480528320,
          "name": "706fb118_50eab1af_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d4ea9e801910413fe8b92cb58a08d22f2ec71307899b8489607ead410875b3c4",
          "index": 3,
          "amount": 9223364334374247000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cdb73d184efdf6ef44ea287c5df1a3f477e73c2c0eb2fc7fa3b2324c7af4385",
          "index": 4,
          "amount": 9222617193763000000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004f80ac801b0d076d00f",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[700,100,971800,1000]"
        },
        "R5": {
          "serializedValue": "0580e0a596bb11",
          "sigmaType": "SLong",
          "renderedValue": "300000000000"
        },
        "R6": {
          "serializedValue": "05f0a204",
          "sigmaType": "SLong",
          "renderedValue": "35000"
        },
        "R7": {
          "serializedValue": "0404",
          "sigmaType": "SInt",
          "renderedValue": "2"
        }
      }
    },
    {
      "boxId": "116c45e80a9b460a8c5c9e23be8d85bb655f7e3a3ef7be6f9b75464190a58f0a",
      "value": 3000000000,
      "index": 1,
      "spendingProof": "138a114e7d491035937ad96af2cac83d2b8b5ba9187d1de6f746bac0cba6b3f154943470c470ea7443a88e519b02fe654cb5b9409312d961",
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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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\n}",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
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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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\n}",
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      "assets": [
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        {
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          "name": "",
          "decimals": 0,
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        {
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          "amount": 1,
          "name": "Spectrum YF staking bundle",
          "decimals": 0,
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      "additionalRegisters": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
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        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203864376562336139623933343233326230313737336464653039656661653764303932346663376332346537373439376532376237626461323234316233366629206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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          "sigmaType": "SSigmaProp",
          "renderedValue": "03cd01fd142c909e45108695c46ada3b4c2793dfdebf5609730ca88a8cf066e5fd"
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "8d7eb3a9b934232b01773dde09efae7d0924fc7c24e77497e27b7bda2241b36f"
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      "index": 11,
      "spendingProof": null,
      "outputBlockId": "b73c867d7be98d1938fc599f51d3bf5c93af943334d41b4298981e808f924a53",
      "outputTransactionId": "7f0e093b8741869c6b5e8f6d84e3224a585277f0fc49dd6b830c2ac1ce2504c0",
      "outputIndex": 6,
      "outputGlobalIndex": 27942723,
      "outputCreatedAt": 973199,
      "outputSettledAt": 973204,
      "ergoTree": "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",
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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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\n}",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
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  ],
  "dataInputs": [],
  "outputs": [
    {
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      "transactionId": "8a5ceaaf03a9d24a81b93dbe33daee4fbd1c57e802e599078307d93db892f965",
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      "index": 0,
      "globalIndex": 27966740,
      "creationHeight": 973899,
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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  val bi32 = placeholder[BigInt](16)\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](17)) == 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](18))\n    ) && if (l19 > placeholder[Long](19)) {(\n      val l33 = l19 * l27 - max(placeholder[Long](20), i25.toLong)\n      val box34 = OUTPUTS(placeholder[Int](21))\n      (\n        ((l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](22) } - placeholder[Int](23).toLong * l28) && (l19 == !l29)) && (l33 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box34.propositionBytes) == placeholder[Coll[Byte]](24)) && ((coll14, l19) == box34.tokens(placeholder[Int](25)))) && (\n              (coll17, l33) == box34.tokens(placeholder[Int](26))\n            )\n          ) && box34.R6[SigmaProp].isDefined\n        ) && (box34.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](27)) {\n        (\n          (\n            (l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](28) } - placeholder[Int](29).toLong * l28) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](30))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](31) } else { l29 * l27 - max(placeholder[Long](32), i25.toLong) })\n      } else {(\n        val i33 = box1.R7[Int].get\n        val i34 = i26 - i33\n        val l35 = i34.toLong\n        val l36 = placeholder[Long](33) - l30 - l18 - placeholder[Long](34) * l35\n        if ((l36 > placeholder[Long](35)) && (l31 > placeholder[Long](36))) {\n          (\n            (\n              ((i33 <= i25 - placeholder[Int](37)) && (l20 - l35 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i34.toBigInt / i26.toBigInt - bi32 * l31.toBigInt / l36.toBigInt + bi32\n              )\n            ) && (l19 == placeholder[Long](38))\n          ) && (l29 == placeholder[Long](39))\n        } else { placeholder[Boolean](40) }\n      )}\n    }\n  )\n}",
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          "sigmaType": "Coll[SInt]",
          "renderedValue": "[700,100,971800,1000]"
        },
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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 - placeholder[Long](15) * l23.toBigInt - bi12\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](16)) {(\n              val tuple26 = coll20(placeholder[Int](17))\n              (((coll19, placeholder[Long](18)) == coll20(placeholder[Int](19))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](20)) == coll20(placeholder[Int](21)) }) && (coll20(placeholder[Int](22)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](23))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](24) } else { placeholder[Boolean](25) } }\n    )} else { if (l7 < placeholder[Long](26)) { INPUTS(placeholder[Int](27)).tokens(placeholder[Int](28)) == (if (coll9.size == placeholder[Int](29)) { coll9(placeholder[Int](30))._1 } else { coll9(placeholder[Int](31))._1 }, placeholder[Long](32)) } else { placeholder[Boolean](33) } })\n}",
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          "sigmaType": "Coll[SByte]",
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        "R5": {
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      "transactionId": "8a5ceaaf03a9d24a81b93dbe33daee4fbd1c57e802e599078307d93db892f965",
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      "index": 21,
      "globalIndex": 27966761,
      "creationHeight": 973899,
      "settlementHeight": 973903,
      "ergoTree": "0008cd03aa46adfd3fd71d1b5e44bb2cbb0587051e8083a0cd7d34e6bb2f03cffa404b0a",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(aa46ad,ebf029,...)))}",
      "address": "9hkoAZc7wCisJ9aW2vs1xLxzprWLVGwcTVbGEMAsgrgoSVW3hKX",
      "assets": [
        {
          "tokenId": "50eab1afc495420c17c0df5154584cf09d9167263fffc99c25e3e0ae4b26fe00",
          "index": 0,
          "amount": 3068934,
          "name": "tSPF",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "7a33ad85a4993a90b11b9af454daa4027e5c8c24fc3ab4db15865a7df49b8d16",
      "mainChain": true
    },
    {
      "boxId": "8c097aa366c9ab0917d5b05708a5416a33ae80dc9ff112e8a9afc4ee0dfa7f97",
      "transactionId": "8a5ceaaf03a9d24a81b93dbe33daee4fbd1c57e802e599078307d93db892f965",
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      "index": 22,
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      "creationHeight": 973899,
      "settlementHeight": 973903,
      "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)}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "bc5092b22f9323ee810172447826d5133a8e080c2ef65b7cadae2e82a59b5fbf",
      "mainChain": true
    }
  ],
  "size": 11105,
  "isUnconfirmed": false
}