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Transaction

7/19/2023 02:37:27 AM
ID: 0f2deca3f5...9c28
Inputs (12)
#0
2057260d1569...494e
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
cbe8026c3e6b...18bd
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
bfb45cb1441c...c0e4
Spent
Address:
9hodDWDNFhzm...fnMi
Output transaction:
cbe8026c3e6b...18bd
Settlement height:
1,050,171
Value:
4.67 ERG
#2
7c683e05b904...bb86
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
dfd0798e9e11...3ab7
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
8c5e634ef63c...2d7e
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
ea6ac27ad9d5...10dc
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
4fe10348e08a...5d47
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
ea6ac27ad9d5...10dc
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
1407c421921a...1578
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
2560aff38697...ae87
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
455d0aeeec9e...51fd
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
eab793ddec81...d680
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
04bb833d69bd...9752
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
cd1ac1003b97...f0c6
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
da8812ef8473...220c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
0700a892ec1a...bdbf
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
279e837d6938...c6fe
Settlement height:
1,049,282
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
60fd98f9c040...97ff
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
67407590af64...910c
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
c66be8ec08fb...a88e
Spent
Address:
9hodDWDNFhzm...fnMi
Spent in transaction:
67407590af64...910c
Settlement height:
1,050,171
Value:
4.66 ERG
#2
0fe988a2010f...53ac
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c65f26fa7494...d377
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
86c339143e17...cfba
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c65f26fa7494...d377
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
c99a1adc0e8c...1d9a
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c65f26fa7494...d377
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
cf334f230f19...ddba
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
85ea50fc8de0...7628
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
c8b72fe25052...bc1e
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
3fe584ec3eff...a742
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
9dbd6af3fa41...7975
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
3fe584ec3eff...a742
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
f7a935bb7feb...4145
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
3fe584ec3eff...a742
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
ea194aac54a6...bb18
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
00c209308611...5e0e
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
aa198888a976...2291
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
b4a642099392...3f1a
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
984202ef852f...545b
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
00c209308611...5e0e
Settlement height:
1,050,171
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
91c2c0802e48...0800
Spent
Address:
9g4Eg93xqjmA...kKbm
Spent in transaction:
5e0fa216e4cd...461c
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
2
#13
71a428fd465a...09a1
Spent
Address:
9gcaF4uPgmRf...vBSV
Spent in transaction:
1dc4eca06eb1...15cc
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
2
#14
7e04390c6623...7b62
Spent
Address:
9fBqCxGhwrH7...dDUH
Spent in transaction:
f3a8998365aa...6bbb
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
0
#15
31def3a3d0cf...cb4b
Spent
Address:
9fK8pTys2QKx...65Le
Spent in transaction:
bbe21b1bab20...d1e3
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
1
#16
04b796460995...59dd
Spent
Address:
9hKEV6GS6Lz2...Gt5k
Spent in transaction:
3e41cd9b1dbc...7492
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
1
#17
97ce2d514d0c...9923
Spent
Address:
9g8zWFu2VBcE...RENy
Spent in transaction:
b07234bc1073...df9f
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
0
#18
b880e4cb0f43...c1af
Spent
Address:
9fzXnLfrbHDx...hDdA
Spent in transaction:
2a435e4ec137...2416
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
6
#19
b0f8f7cb1c3b...241f
Spent
Address:
9fcM5RWnAjmP...2Pvy
Spent in transaction:
10e0db5e2811...b512
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
0
#20
c219cf5df5fb...5f62
Spent
Address:
9ex6aHNKJKSM...ZXmz
Spent in transaction:
baf617a50f63...7c15
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
2
#21
75631b997f32...5b5c
Spent
Address:
9fNNZ5SiCm9Z...VLhr
Spent in transaction:
a9c1b68a8a88...30c8
Settlement height:
1,050,171
Value:
0.00025 ERG
Tokens:
SPF
60.70
#22
d78cd7dd2e0d...dee2
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
36d78f0a1952...2271
Settlement height:
1,050,171
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 11.19 KB
Received time: 7/19/2023 02:37:27 AM
Included in blocks: 1,050,171
Confirmations: 717,542
Total coins transferred: 4.67 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000262 ERG
Raw Transaction Data
{
  "id": "0f2deca3f5f5e220198d13f1dfedf30c57652a15575d73746a84360c0caa9c28",
  "blockId": "2c87b97f2d2e2ec09da5bb7c48178ea973838f9ecd855da965fe14c53f91b529",
  "inclusionHeight": 1050171,
  "timestamp": 1689734247125,
  "index": 22,
  "globalIndex": 5541724,
  "numConfirmations": 717542,
  "inputs": [
    {
      "boxId": "2057260d15694864f0a539480aa0f1f4ec5086b7d6d67e21a65b6ec4d22a494e",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "2c87b97f2d2e2ec09da5bb7c48178ea973838f9ecd855da965fe14c53f91b529",
      "outputTransactionId": "cbe8026c3e6b7aa65dce0ce5dd4546e5e2a94ba4d145114c73ce6698284518bd",
      "outputIndex": 0,
      "outputGlobalIndex": 31070800,
      "outputCreatedAt": 1050168,
      "outputSettledAt": 1050171,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 5\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 3\n30: 0\n31: 0\n32: 9223372036854775807\n33: 0\n34: 0\n35: 1\n36: CBigInt(1)\n37: 0\n38: 0\n39: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll3(placeholder[Int](1))\n  val coll5 = SELF.R4[Coll[Int]].get\n  val l6 = SELF.R5[Long].get\n  val l7 = SELF.R6[Long].get\n  val tuple8 = coll2(placeholder[Int](2))\n  val tuple9 = coll3(placeholder[Int](3))\n  val tuple10 = coll2(placeholder[Int](4))\n  val tuple11 = coll3(placeholder[Int](5))\n  val tuple12 = coll2(placeholder[Int](6))\n  val tuple13 = coll3(placeholder[Int](7))\n  val coll14 = tuple13._1\n  val tuple15 = coll2(placeholder[Int](8))\n  val tuple16 = coll3(placeholder[Int](9))\n  val coll17 = tuple16._1\n  val l18 = tuple11._2\n  val l19 = tuple10._2 - l18\n  val l20 = tuple9._2\n  val i21 = coll5(placeholder[Int](10))\n  val i22 = HEIGHT - i21 + placeholder[Int](11)\n  val i23 = coll5(placeholder[Int](12))\n  val i24 = i22 / i23\n  val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n  val i26 = coll5(placeholder[Int](15))\n  val l27 = i26.toLong\n  val l28 = l6 / l27\n  val l29 = tuple12._2 - tuple13._2\n  val l30 = tuple16._2\n  val l31 = tuple15._2 - l30\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](16)) == tuple4) && (\n              (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n            )\n          ) && (box1.propositionBytes == SELF.propositionBytes)\n        ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n      ) && (coll2.size == placeholder[Int](17))\n    ) && if (l19 > placeholder[Long](18)) {(\n      val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n      val box33 = OUTPUTS(placeholder[Int](20))\n      (\n        (\n          (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n            l19 == !l29\n          )\n        ) && (l32 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n              (coll17, l32) == box33.tokens(placeholder[Int](25))\n            )\n          ) && box33.R6[SigmaProp].isDefined\n        ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](26)) {\n        (\n          (\n            (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n      } else {(\n        val i32 = box1.R7[Int].get\n        val i33 = i26 - i32\n        val l34 = i33.toLong\n        val l35 = placeholder[Long](32) - l30 - l18 * l34\n        if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n          (\n            (\n              ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n              )\n            ) && (l19 == placeholder[Long](37))\n          ) && (l29 == placeholder[Long](38))\n        } else { placeholder[Boolean](39) }\n      )}\n    }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "24e9f9a3e0aa89092d8690941900323dea2ee3603ca7368c0c35175259df6930",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 1,
          "amount": 47303636834,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
          "index": 2,
          "amount": 21872821312198,
          "name": "Ergo_Spectrum Finance_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "c625ee2d518920387a4e343bfc01933cfc7ab4ccd255599261e367b531581f09",
          "index": 3,
          "amount": 9223350164033463000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "45e46d2a9a92b0571939437126cdb73f3b9274fb425058c4767ce7adc3176bbe",
          "index": 4,
          "amount": 9223061792777589000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004a00bb401a0bf79a038",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[720,90,995280,3600]"
        },
        "R5": {
          "serializedValue": "0580e0a596bb11",
          "sigmaType": "SLong",
          "renderedValue": "300000000000"
        },
        "R6": {
          "serializedValue": "05c801",
          "sigmaType": "SLong",
          "renderedValue": "100"
        },
        "R7": {
          "serializedValue": "049801",
          "sigmaType": "SInt",
          "renderedValue": "76"
        }
      }
    },
    {
      "boxId": "bfb45cb1441c9fa1c79fb11cb336770770b8aa1ca9c653f82decfe9f9641c0e4",
      "value": 4666250000,
      "index": 1,
      "spendingProof": "8ba7175103f57989c03f80036e81230e4853dd164591fa88cefab82c7ad587da1c9957f60a4a52880e205b9622ee6fa215da8049c8d2b7b8",
      "outputBlockId": "2c87b97f2d2e2ec09da5bb7c48178ea973838f9ecd855da965fe14c53f91b529",
      "outputTransactionId": "cbe8026c3e6b7aa65dce0ce5dd4546e5e2a94ba4d145114c73ce6698284518bd",
      "outputIndex": 1,
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "assets": [
        {
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          "index": 0,
          "amount": 12563717788,
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        {
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          "index": 1,
          "amount": 188455766820,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 2,
          "amount": 1,
          "name": "Spectrum YF staking bundle",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
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          "serializedValue": "0e1a537065637472756d205946207374616b696e672062756e646c65",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
        },
        "R5": {
          "serializedValue": "0ea80154686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203234653966396133653061613839303932643836393039343139303033323364656132656533363033636137333638633063333531373532353964663639333029206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203234653966396133653061613839303932643836393039343139303033323364656132656533363033636137333638633063333531373532353964663639333029206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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        "R6": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "0238d89fe4e71257bf9ffe681499f418e31ce1ed511578497936a58761457ac123"
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        "R7": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "24e9f9a3e0aa89092d8690941900323dea2ee3603ca7368c0c35175259df6930"
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      "index": 11,
      "spendingProof": null,
      "outputBlockId": "0c2133fbd39c25a2f0d1a6a756a9d2cf630de7d7234ae1b24b64e1613ed14e8a",
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      "outputIndex": 10,
      "outputGlobalIndex": 31026696,
      "outputCreatedAt": 1049280,
      "outputSettledAt": 1049282,
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      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: CBigInt(0)\n8: 0\n9: 0\n10: 1\n11: 2\n12: 1\n13: 9223372036854775807\n14: 4\n15: 0\n16: 1\n17: 1\n18: 2\n19: 1\n20: 1\n21: 0\n22: 0\n23: true\n24: false\n25: 0\n26: 2\n27: 0\n28: 3\n29: 2\n30: 1\n31: 9223372036854775806\n32: 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  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "assets": [
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  ],
  "dataInputs": [],
  "outputs": [
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      "globalIndex": 31070823,
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll3(placeholder[Int](1))\n  val coll5 = SELF.R4[Coll[Int]].get\n  val l6 = SELF.R5[Long].get\n  val l7 = SELF.R6[Long].get\n  val tuple8 = coll2(placeholder[Int](2))\n  val tuple9 = coll3(placeholder[Int](3))\n  val tuple10 = coll2(placeholder[Int](4))\n  val tuple11 = coll3(placeholder[Int](5))\n  val tuple12 = coll2(placeholder[Int](6))\n  val tuple13 = coll3(placeholder[Int](7))\n  val coll14 = tuple13._1\n  val tuple15 = coll2(placeholder[Int](8))\n  val tuple16 = coll3(placeholder[Int](9))\n  val coll17 = tuple16._1\n  val l18 = tuple11._2\n  val l19 = tuple10._2 - l18\n  val l20 = tuple9._2\n  val i21 = coll5(placeholder[Int](10))\n  val i22 = HEIGHT - i21 + placeholder[Int](11)\n  val i23 = coll5(placeholder[Int](12))\n  val i24 = i22 / i23\n  val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n  val i26 = coll5(placeholder[Int](15))\n  val l27 = i26.toLong\n  val l28 = l6 / l27\n  val l29 = tuple12._2 - tuple13._2\n  val l30 = tuple16._2\n  val l31 = tuple15._2 - l30\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](16)) == tuple4) && (\n              (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n            )\n          ) && (box1.propositionBytes == SELF.propositionBytes)\n        ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n      ) && (coll2.size == placeholder[Int](17))\n    ) && if (l19 > placeholder[Long](18)) {(\n      val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n      val box33 = OUTPUTS(placeholder[Int](20))\n      (\n        (\n          (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n            l19 == !l29\n          )\n        ) && (l32 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n              (coll17, l32) == box33.tokens(placeholder[Int](25))\n            )\n          ) && box33.R6[SigmaProp].isDefined\n        ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](26)) {\n        (\n          (\n            (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n      } else {(\n        val i32 = box1.R7[Int].get\n        val i33 = i26 - i32\n        val l34 = i33.toLong\n        val l35 = placeholder[Long](32) - l30 - l18 * l34\n        if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n          (\n            (\n              ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n              )\n            ) && (l19 == placeholder[Long](37))\n          ) && (l29 == placeholder[Long](38))\n        } else { placeholder[Boolean](39) }\n      )}\n    }\n  )\n}",
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "spentTransactionId": "baf617a50f633b2045a9934b591ee22b004d0560c6f07d6ac1ecf32fe0917c15",
      "mainChain": true
    },
    {
      "boxId": "75631b997f327c6b3adca54326cd45f4b33bcdb190dd90e03c3cae4c745e5b5c",
      "transactionId": "0f2deca3f5f5e220198d13f1dfedf30c57652a15575d73746a84360c0caa9c28",
      "blockId": "2c87b97f2d2e2ec09da5bb7c48178ea973838f9ecd855da965fe14c53f91b529",
      "value": 250000,
      "index": 21,
      "globalIndex": 31070844,
      "creationHeight": 1050168,
      "settlementHeight": 1050171,
      "ergoTree": "0008cd026ff779093915c4d6d52be981ccff04055cd0c7ee8d6520c4a79157d3bd8a0738",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6ff779,bc1e8a,...)))}",
      "address": "9fNNZ5SiCm9ZT6Wn2xYXWcCB5n3tAMKbNCoxXP4YqLXaXYwVLhr",
      "assets": [
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 0,
          "amount": 60699030,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "a9c1b68a8a88399d3b08e4e1ef6968e087a4d7bafd4544e6413b7290dfdb30c8",
      "mainChain": true
    },
    {
      "boxId": "d78cd7dd2e0d1482166fae4de3f7618ae8608d7fbe69a850f91bb45741afdee2",
      "transactionId": "0f2deca3f5f5e220198d13f1dfedf30c57652a15575d73746a84360c0caa9c28",
      "blockId": "2c87b97f2d2e2ec09da5bb7c48178ea973838f9ecd855da965fe14c53f91b529",
      "value": 3000000,
      "index": 22,
      "globalIndex": 31070845,
      "creationHeight": 1050168,
      "settlementHeight": 1050171,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "36d78f0a1952f43037f541e9635ad6cc984fea582152be524f4f2fbe1b3e2271",
      "mainChain": true
    }
  ],
  "size": 11454,
  "isUnconfirmed": false
}