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Transaction

3/16/2023 01:33:08 PM
ID: 6ae8f7d4a4...5252
Inputs (12)
#0
3510cb8f99f0...90a1
Spent
Address:
2JowFguNN2xR...wVUT
Output transaction:
fe29b8dd0df6...cac5
Settlement height:
961,585
Value:
0.00125 ERG
Tokens:
Loading assets...
#1
1a973352e0c3...31d1
Spent
Address:
9hodDWDNFhzm...fnMi
Output transaction:
fe29b8dd0df6...cac5
Settlement height:
961,585
Value:
8.8 ERG
#2
6b543b6fa454...1fa1
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
f67e766e30b3...8ee3
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
5cc971d27a54...a83c
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
e065d5378082...ed8c
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
c8a2706fc88b...c964
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
b327b8d8f0c4...34c3
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
7965c8b5cd81...5494
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
f0cde8ea7ca6...a0f6
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
bbfa8d29b54c...fb93
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
3f4b79f27bc8...d04b
Spent
Address:
YyLFSfjMQw5A...fcM4
Output transaction:
c97b4ed5b200...9408
Settlement height:
961,580
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
ddf2c7eea666...5199
Spent
Address:
2JowFguNN2xR...wVUT
Spent in transaction:
1ac63337583a...ac56
Settlement height:
961,585
Value:
0.00125 ERG
Tokens:
Loading assets...
#1
6e38fd703a7b...0183
Spent
Address:
9hodDWDNFhzm...fnMi
Spent in transaction:
1ac63337583a...ac56
Settlement height:
961,585
Value:
8.8 ERG
#2
8f07fa4339b9...4cf5
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
8b546b800f65...3b46
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
cee2158a3e80...3234
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
038260787d71...18b4
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
82d92f46efd0...2d97
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
bbdc17ae9ae3...7d7c
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
ecadaf1f5b48...4128
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
8494ba384944...2bc8
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
0ba238d72259...944a
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
12441fe4a42f...4d07
Unspent
Address:
YyLFSfjMQw5A...fcM4
Settlement height:
961,585
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
192333732b64...6d2a
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#13
39068e80aa04...a031
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#14
3eb6594614a9...a9df
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#15
b101485f3041...e632
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#16
860877ddd8e4...d72b
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#17
c40d5a2e0cf2...5d86
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#18
a63ba2de74a2...8888
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#19
9437ff2a8851...e6ae
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#20
755576f4d805...de0c
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#21
69cb0a2951d3...8a1e
Unspent
Address:
9gCigPc9cZNR...RUKy
Settlement height:
961,585
Value:
0.00025 ERG
Tokens:
WT_ERG
0
#22
59b9a10e9a9c...d04f
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
ff0799d4fbbb...aaaa
Settlement height:
961,585
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 10.62 KB
Received time: 3/16/2023 01:33:08 PM
Included in blocks: 961,585
Confirmations: 813,451
Total coins transferred: 8.81 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000092 ERG
Raw Transaction Data
{
  "id": "6ae8f7d4a4cfa3e41f2a987d3593cc0b02e5d5d35519c52b1bf8a0f8f0ca5252",
  "blockId": "80de54f499daa8fd1303fb188ff02029b48ea4884ff42075fb79ed960b8d3967",
  "inclusionHeight": 961585,
  "timestamp": 1678973588278,
  "index": 7,
  "globalIndex": 4910101,
  "numConfirmations": 813451,
  "inputs": [
    {
      "boxId": "3510cb8f99f0ed9d983dfc76191282a210e9d9ba9db1c5b228aac1e4e78590a1",
      "value": 1250000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "80de54f499daa8fd1303fb188ff02029b48ea4884ff42075fb79ed960b8d3967",
      "outputTransactionId": "fe29b8dd0df6817b04956d22d5af6fd93eba631267ff418d0f2ca2027b3dcac5",
      "outputIndex": 0,
      "outputGlobalIndex": 27466751,
      "outputCreatedAt": 961582,
      "outputSettledAt": 961585,
      "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(55,104,118,86,102,-98,97,115,-26,12,86,113,35,-115,5,24,0,39,104,-9,55,29,11,1,-92,76,109,-43,96,37,112,97)\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": "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",
      "assets": [
        {
          "tokenId": "f40470768230b15a853069eda46ba5bba8db95d151b0ed4a94384e75c7600be6",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
          "index": 1,
          "amount": 271327811,
          "name": "WT_ERG",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "04928901c08363208a29e334af73cd428f3d92d3cce8e379bcd0aee6231a421d",
          "index": 2,
          "amount": 241048684318,
          "name": "ef802b47_30974274_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "be26af160caf899b837a8fd331fe6fcb7577b63d6e90b57dce1d4c137c980f29",
          "index": 3,
          "amount": 9223371795806091000,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "052891e16dd42bf0854f1616d799ccb7904ef3f06c5ea7a5693ea43cc2612326",
          "index": 4,
          "amount": 9223372023774136000,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004900314d2cc74c801",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[200,10,955177,100]"
        },
        "R5": {
          "serializedValue": "05fecfdbc3f402",
          "sigmaType": "SLong",
          "renderedValue": "49999999999"
        },
        "R6": {
          "serializedValue": "05d00f",
          "sigmaType": "SLong",
          "renderedValue": "1000"
        },
        "R7": {
          "serializedValue": "0414",
          "sigmaType": "SInt",
          "renderedValue": "10"
        }
      }
    },
    {
      "boxId": "1a973352e0c3db841767a7f20d86e17a415912bf527e21803acc83a20af431d1",
      "value": 8804000000,
      "index": 1,
      "spendingProof": "058a2474d38c384505769e8ee46bade50c4fcd848b25d225d016e26df452a09fd2afba6bd68284441540418a286890107507540dd44de21d",
      "outputBlockId": "80de54f499daa8fd1303fb188ff02029b48ea4884ff42075fb79ed960b8d3967",
      "outputTransactionId": "fe29b8dd0df6817b04956d22d5af6fd93eba631267ff418d0f2ca2027b3dcac5",
      "outputIndex": 1,
      "outputGlobalIndex": 27466752,
      "outputCreatedAt": 961582,
      "outputSettledAt": 961585,
      "ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b0b2ce,8ea1ce,...)))}",
      "address": "9hodDWDNFhzmpY6qQm8spYNpbbus2jYoGEe6yFvM5uC8CfZfnMi",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "6b543b6fa454733dd2ed8def6ee8c71688ea58d40f9f5109b3bf5e6b7ea61fa1",
      "value": 522000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "b167e75898c7417cad1643deb414fc569eb60055cbf698b21d1f4216b9f49c11",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
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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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
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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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
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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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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      "assets": [
        {
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          "decimals": null,
          "type": null
        },
        {
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          "index": 1,
          "amount": 42162143,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "8a34a47d05730c66ab97944a88180f1307692b2518a4c7f65dc28574a9dda615",
          "index": 2,
          "amount": 1,
          "name": "Spectrum YF staking bundle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e1a537065637472756d205946207374616b696e672062756e646c65",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
        },
        "R5": {
          "serializedValue": "0ea80154686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a206634303437303736383233306231356138353330363965646134366261356262613864623935643135316230656434613934333834653735633736303062653629206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a206634303437303736383233306231356138353330363965646134366261356262613864623935643135316230656434613934333834653735633736303062653629206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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        "R6": {
          "serializedValue": "08cd02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c"
        },
        "R7": {
          "serializedValue": "0e20f40470768230b15a853069eda46ba5bba8db95d151b0ed4a94384e75c7600be6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f40470768230b15a853069eda46ba5bba8db95d151b0ed4a94384e75c7600be6"
        }
      }
    },
    {
      "boxId": "3f4b79f27bc8a8a96592b6c75535639865c77e0b07440e4e3a1e0b177b5ad04b",
      "value": 522000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "b167e75898c7417cad1643deb414fc569eb60055cbf698b21d1f4216b9f49c11",
      "outputTransactionId": "c97b4ed5b2002c1420f0ba0509d966ef00393f7c8fe757378e2412a845849408",
      "outputIndex": 11,
      "outputGlobalIndex": 27465742,
      "outputCreatedAt": 961572,
      "outputSettledAt": 961580,
      "ergoTree": "19a3041f040004000404040404000402060101040005000402040404020400040004020502040405020402040005feffffffffffffffff010408050205000404040004060404040205fcffffffffffffffff010100d80cd601b2a5730000d602db63087201d603e4c6a7070ed604b2a4730100d605db63087204d6068cb2720573020002d607998cb27202730300027206d608e4c6a70608d609db6308a7d60ab27209730400d60bb27205730500d60c7306d1ed938cb27202730700017203959372077308d80cd60db2a5e4e3000400d60eb2a5e4e3010400d60fb2e4c672040410730900d610c672010804d61199720f95e67210e47210e4c672010704d6128cb27209730a0001d613db6308720ed614b27209730b00d6158c721402d6167e721105d6179972159c72168c720a02d618b2db6308720d730c00eded93c2720dd07208edededed93e4c6720e0608720893e4c6720e070e720393c2720ec2a795917211730dd801d619b27213730e00eded9386027212730fb27213731000938c7219018c721401939972158c721902721793860272127311b2721373120093b27213731300720aed938c7218018c720b01927e8c7218020699999d9c99997e8c720b02069d9c7ee4c672040505067e7211067e720f06720c7e7217067e999973148cb27205731500029c9972067316721606720c720c958f7207731793b2db6308b2a473180073190086029593b17209731a8cb27209731b00018cb27209731c0001731d731e",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: 0\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 2\n17: 1\n18: 1\n19: 0\n20: 9223372036854775807\n21: 4\n22: 1\n23: 0\n24: 2\n25: 0\n26: 3\n27: 2\n28: 1\n29: 9223372036854775806\n30: false",
      "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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "be26af160caf899b837a8fd331fe6fcb7577b63d6e90b57dce1d4c137c980f29",
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          "decimals": null,
          "type": null
        },
        {
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          "amount": 1,
          "name": "Spectrum YF staking bundle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e1a537065637472756d205946207374616b696e672062756e646c65",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
        },
        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a206634303437303736383233306231356138353330363965646134366261356262613864623935643135316230656434613934333834653735633736303062653629206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
        },
        "R6": {
          "serializedValue": "08cd02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c"
        },
        "R7": {
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          "sigmaType": "Coll[SByte]",
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        }
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    }
  ],
  "dataInputs": [],
  "outputs": [
    {
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      "transactionId": "6ae8f7d4a4cfa3e41f2a987d3593cc0b02e5d5d35519c52b1bf8a0f8f0ca5252",
      "blockId": "80de54f499daa8fd1303fb188ff02029b48ea4884ff42075fb79ed960b8d3967",
      "value": 1250000,
      "index": 0,
      "globalIndex": 27466778,
      "creationHeight": 961582,
      "settlementHeight": 961585,
      "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(55,104,118,86,102,-98,97,115,-26,12,86,113,35,-115,5,24,0,39,104,-9,55,29,11,1,-92,76,109,-43,96,37,112,97)\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}",
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          "sigmaType": "Coll[SInt]",
          "renderedValue": "[200,10,955177,100]"
        },
        "R5": {
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      "ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
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      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: 0\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 2\n17: 1\n18: 1\n19: 0\n20: 9223372036854775807\n21: 4\n22: 1\n23: 0\n24: 2\n25: 0\n26: 3\n27: 2\n28: 1\n29: 9223372036854775806\n30: false",
      "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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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      "assets": [
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          "sigmaType": "Coll[SByte]",
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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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\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  sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n      val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n      val opt16 = box1.R8[Int]\n      val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n      val coll18 = coll9(placeholder[Int](10))._1\n      val coll19 = box14.tokens\n      val tuple20 = coll9(placeholder[Int](11))\n      val l21 = tuple20._2\n      val l22 = i17.toLong\n      val l23 = l21 - l22 * tuple10._2\n      val tuple24 = box13.tokens(placeholder[Int](12))\n      ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n              val tuple25 = coll19(placeholder[Int](14))\n              (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n            )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n    )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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          "sigmaType": "Coll[SByte]",
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a206634303437303736383233306231356138353330363965646134366261356262613864623935643135316230656434613934333834653735633736303062653629206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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          "sigmaType": "SSigmaProp",
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ddbe95,261bee,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ddbe95,261bee,...)))}",
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      "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": "ff0799d4fbbb2f61d07da428d863ad4b28dd82443b4b0edc919113f11f3faaaa",
      "mainChain": true
    }
  ],
  "size": 10876,
  "isUnconfirmed": false
}