Ad
Inputs (9)
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.00275 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.00125 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0125 ERG
Spent in transaction:
Settlement height:
Value:
0.0045 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.16 KB
Received time: 7/10/2023 12:11:13 PM
Included in blocks: 1,044,058
Confirmations: 716,012
Total coins transferred: 0.018 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000084 ERG
Raw Transaction Data
{
  "id": "a3ebf39c4fe3b37d6fd2f78e0f7430fc2373b79d28da0ff94c60e150c2bc3db4",
  "blockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
  "inclusionHeight": 1044058,
  "timestamp": 1688991073474,
  "index": 20,
  "globalIndex": 5504047,
  "numConfirmations": 716012,
  "inputs": [
    {
      "boxId": "131b2e0a013e6c7cb22ceecd0f018f1cd7f69addd9cf42a725bc1ce94dcf6209",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "f7efa8d35d9eaab50768c054a5a9fb8ed52a787fb4b189a26f611bdfb000bdd2",
      "outputTransactionId": "04c60539b662ea22022252f1513b61b479808c11d319dfb28f83cf05b1c08b30",
      "outputIndex": 51,
      "outputGlobalIndex": 30828873,
      "outputCreatedAt": 1044053,
      "outputSettledAt": 1044055,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "f96f5b9b045a21931229335b8eb080b53b2a0a139c7ac19416226b4d3c5c7698",
      "value": 2750000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "dc6038fe9c961306adcbc4f4ef0b387107e9a538609a09783e137297ceb804bb",
      "outputIndex": 0,
      "outputGlobalIndex": 30829525,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "102f040605000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f09104040400010004000400010004020400058084af5f040205c0843d04040580897a01000408040205809bee020580897a0580897a040a05809bee02040c0580897a0100040004000e20245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab04000402010005c0843d05e0a7120580897a05c09a0c040204040100040004000e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef0100d80ad60193b1a57300d60286028300027301d6037302d60495ef7201ed938cb2db6308b2a47303007304017202017305938cb2db6308b2a473060073070172020172037308d605c2a7d606c1a7d607b2a4730900d60895efec72017204938cb2db63087207730a017202017203730bd609b1a4d60a997209730cd1ececec957201d803d60bb2a5730d00d60cc2a7d60dc1a79683050193c2720b720c91c1720b720d90720d730e93c1b2a5730f009c73107eb1b5a4d9010e6393c2720e720c0593c1b2a573110073127313957204d801d60bb2a57314009683050193c5b2a499b1a4731500c5a793c2720b720592c1720b999999720673167317731893c1b2a5731900731a93c1b2a5731b00731c731d957208d805d60bb2a5720a00d60cb1b5a4d9010c63d801d60edb6308720c9591b1720e731eed938cb2720e731f0001732093b2e4c6720c0411732100b2e4c6720704117322007323d60d7e720c05d60e9a73249c7325720dd60f9a73269c7327720d9683060193c5b2a4720a00c5a793c2720b720592c1720b99997206720e720f93c1b2a5720900720e93c1b2a59a7209732800720f9372099a720c7329732a95efecec720172047208938cb2db6308b2a5732b00732c01720201732d732e",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "a2acdbb4d878fc0bfda58a65dd5c634512524d6a6d78ad0329af6022b766b368",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "bcc0a50821d0855403dfdf6129bf92627f20457ac86634c7699e9510eaa0e863",
      "outputIndex": 51,
      "outputGlobalIndex": 30828979,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "1f061b70f1a148f2ec701c438ed85996316f9af018397ffbdc636f371f90c242",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "1e6eec7b75abbb71c292ae461986e69a4f77ba90e3191a15ee4551e2c2b58647",
      "outputIndex": 51,
      "outputGlobalIndex": 30829033,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "102f040605000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f09104040400010004000400010004020400058084af5f040205c0843d04040580897a01000408040205809bee020580897a0580897a040a05809bee02040c0580897a0100040004000e20245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab04000402010005c0843d05e0a7120580897a05c09a0c040204040100040004000e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef0100d80ad60193b1a57300d60286028300027301d6037302d60495ef7201ed938cb2db6308b2a47303007304017202017305938cb2db6308b2a473060073070172020172037308d605c2a7d606c1a7d607b2a4730900d60895efec72017204938cb2db63087207730a017202017203730bd609b1a4d60a997209730cd1ececec957201d803d60bb2a5730d00d60cc2a7d60dc1a79683050193c2720b720c91c1720b720d90720d730e93c1b2a5730f009c73107eb1b5a4d9010e6393c2720e720c0593c1b2a573110073127313957204d801d60bb2a57314009683050193c5b2a499b1a4731500c5a793c2720b720592c1720b999999720673167317731893c1b2a5731900731a93c1b2a5731b00731c731d957208d805d60bb2a5720a00d60cb1b5a4d9010c63d801d60edb6308720c9591b1720e731eed938cb2720e731f0001732093b2e4c6720c0411732100b2e4c6720704117322007323d60d7e720c05d60e9a73249c7325720dd60f9a73269c7327720d9683060193c5b2a4720a00c5a793c2720b720592c1720b99997206720e720f93c1b2a5720900720e93c1b2a59a7209732800720f9372099a720c7329732a95efecec720172047208938cb2db6308b2a5732b00732c01720201732d732e",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "a645c428c359eaefa8ce4660c3dbc2c45e22eae94158d6f557865efea411c833",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "d771558f90901dfae1b1be134a41c680f11e116ea734286ced3545fc5cf62bc2",
      "outputIndex": 51,
      "outputGlobalIndex": 30829249,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "102f040605000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f09104040400010004000400010004020400058084af5f040205c0843d04040580897a01000408040205809bee020580897a0580897a040a05809bee02040c0580897a0100040004000e20245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab04000402010005c0843d05e0a7120580897a05c09a0c040204040100040004000e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef0100d80ad60193b1a57300d60286028300027301d6037302d60495ef7201ed938cb2db6308b2a47303007304017202017305938cb2db6308b2a473060073070172020172037308d605c2a7d606c1a7d607b2a4730900d60895efec72017204938cb2db63087207730a017202017203730bd609b1a4d60a997209730cd1ececec957201d803d60bb2a5730d00d60cc2a7d60dc1a79683050193c2720b720c91c1720b720d90720d730e93c1b2a5730f009c73107eb1b5a4d9010e6393c2720e720c0593c1b2a573110073127313957204d801d60bb2a57314009683050193c5b2a499b1a4731500c5a793c2720b720592c1720b999999720673167317731893c1b2a5731900731a93c1b2a5731b00731c731d957208d805d60bb2a5720a00d60cb1b5a4d9010c63d801d60edb6308720c9591b1720e731eed938cb2720e731f0001732093b2e4c6720c0411732100b2e4c6720704117322007323d60d7e720c05d60e9a73249c7325720dd60f9a73269c7327720d9683060193c5b2a4720a00c5a793c2720b720592c1720b99997206720e720f93c1b2a5720900720e93c1b2a59a7209732800720f9372099a720c7329732a95efecec720172047208938cb2db6308b2a5732b00732c01720201732d732e",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "585f7188b896cc8e97d551f28afd1237fc7b10eb7bbbc884e751a29f5ed9337e",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "9b7fcb8a1fab7a6a1b8079aebf7e3a1438b15727775aab96bc8f2b55ffc8b461",
      "outputIndex": 51,
      "outputGlobalIndex": 30829303,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "7fbfd3f1f1963a221dc769f1413b106d91690250368b120af467b4ce1366497c",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "95e04046bfc8fbd6ae745798da9179250e602ef5cc8ae66f8961900eec5a5c76",
      "outputIndex": 51,
      "outputGlobalIndex": 30829357,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "102f040605000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f09104040400010004000400010004020400058084af5f040205c0843d04040580897a01000408040205809bee020580897a0580897a040a05809bee02040c0580897a0100040004000e20245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab04000402010005c0843d05e0a7120580897a05c09a0c040204040100040004000e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef0100d80ad60193b1a57300d60286028300027301d6037302d60495ef7201ed938cb2db6308b2a47303007304017202017305938cb2db6308b2a473060073070172020172037308d605c2a7d606c1a7d607b2a4730900d60895efec72017204938cb2db63087207730a017202017203730bd609b1a4d60a997209730cd1ececec957201d803d60bb2a5730d00d60cc2a7d60dc1a79683050193c2720b720c91c1720b720d90720d730e93c1b2a5730f009c73107eb1b5a4d9010e6393c2720e720c0593c1b2a573110073127313957204d801d60bb2a57314009683050193c5b2a499b1a4731500c5a793c2720b720592c1720b999999720673167317731893c1b2a5731900731a93c1b2a5731b00731c731d957208d805d60bb2a5720a00d60cb1b5a4d9010c63d801d60edb6308720c9591b1720e731eed938cb2720e731f0001732093b2e4c6720c0411732100b2e4c6720704117322007323d60d7e720c05d60e9a73249c7325720dd60f9a73269c7327720d9683060193c5b2a4720a00c5a793c2720b720592c1720b99997206720e720f93c1b2a5720900720e93c1b2a59a7209732800720f9372099a720c7329732a95efecec720172047208938cb2db6308b2a5732b00732c01720201732d732e",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "734bf7d0518513479b5ed0840c7a2ab8ade73fb58ae975da3df21b7446fd35d5",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "87ac64a04b36bc9fc5d1130c09a72570d596f8f871c4381f88d54adb9c6f07b8",
      "outputIndex": 51,
      "outputGlobalIndex": 30829411,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "1d7bc634070e272ed9c06a2814542f67525b151b9aa52c5f4494956a8f4d3571",
      "value": 1250000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "outputTransactionId": "2007c5577a9b36aa4488e6d1f1142c514d2af3423f3210effef101b992157784",
      "outputIndex": 30,
      "outputGlobalIndex": 30829774,
      "outputCreatedAt": 1044056,
      "outputSettledAt": 1044058,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "Ujfv3QVGdnTjkkugQDB5qFowFpiq2uK32aa7efP7ptAA4dAsAamzWS1NS4kWKExYR2N781Cgi49dLmerGrH6hQZXg6xgxkyJRKJgPgq3MKrSjxECyPVtSyqmivuV5TDbsoNGQfA9yb4FLjtX9ovdYGZxz8TcESePcBHdTpUeXYRqsbkQkhNNDuF3HfWKmLFbTQTKUti4rFT4zKLKaoCr1Hq4AfEu91i5yTmxvZ14iyGkwduKrA2M54ynk5bryZqU7QiJJ1eQe4CPY8wnTgWUPniNDMzjUQLxrYZjSjJX1L8W7cVdWoMGqVdDuWv1APZokHypm2qtfoC4yFf8QWj9Phdnh3fzbUuQyk9nphXMnGKaNN6byTsZW63a1DZESwPQkY5hhhuYJuTYoGy9Gf2bdxfEgcXvppTnc4yi2AB2wo8XXsUtmH6L39nfrTfWtqiSuCZutvARjbahAjR9riZ6Xcb8JnpdUgz7ZmoRa2bwEj7pnMEd6HGdZRwDGCQn5Ezt1ZS5QEFqfTkfvz4wyiDUvDjM9knYSs2KGVim7CFvQdWtLPuiY8nkTmrrWgTyChAzFjexeYP5V9EaLDbkRRbSRinoAb9VfL9KCkSMNyA55fNkFnmzf94nF2HHfJNGvKvc2hHL73h5ERWoZ139jBH94ZFs99QnYA8zVqohtk8JYxVZfLg6KdR67DVHguNCtMwy98pdxdiHr6McFMZB7Br6RSQmnXa73bCdKZKydxxnf1vTo2MtkMRuq4QgNYgVLJxhdTL6QpR763jTpbjnVWWqe5PDQ7ghDfYC1AnqQvR7AwpVUj47ut4McE7iSUHruUxNr8jHKBUSv5xTNbqhQhGuhwgfte8otdaG8aYE8ezEHXoNiB1cbcAbuDyTjRAmmXqUw8rBxf3twUi7HqnZPGgoaTf4Qjx2nSonyQsRHJFUp2yE3donK9seHPGAHyjfG2FTCHJneEHNY2BTi4bf7E7Yw",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "23153bf8e1e881d602dd9b0ef04ed2973fbe589ad3d506d60f90f62a2fb1523d",
      "transactionId": "a3ebf39c4fe3b37d6fd2f78e0f7430fc2373b79d28da0ff94c60e150c2bc3db4",
      "blockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "value": 12500000,
      "index": 0,
      "globalIndex": 30829780,
      "creationHeight": 1044056,
      "settlementHeight": 1044058,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
      "ergoTreeScript": "{\n  val bool1 = OUTPUTS.size == placeholder[Int](0)\n  val tuple2 = (Coll[Byte](), placeholder[Long](1))\n  val coll3 = placeholder[Coll[Byte]](2)\n  val bool4 = if (!bool1) {\n    (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n      INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n    )\n  } else { placeholder[Boolean](8) }\n  val coll5 = SELF.propositionBytes\n  val l6 = SELF.value\n  val box7 = INPUTS(placeholder[Int](9))\n  val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n  val i9 = INPUTS.size\n  val i10 = i9 - placeholder[Int](12)\n  sigmaProp(((if (bool1) {(\n          val box11 = OUTPUTS(placeholder[Int](13))\n          val coll12 = SELF.propositionBytes\n          val l13 = SELF.value\n          allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n        )} else { placeholder[Boolean](19) } || if (bool4) {(\n          val box11 = OUTPUTS(placeholder[Int](20))\n          allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n        )} else { placeholder[Boolean](29) }) || if (bool8) {(\n        val box11 = OUTPUTS(i10)\n        val i12 = INPUTS.filter({(box12: Box) =>\n            val coll14 = box12.tokens\n            if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n          }).size\n        val l13 = i12.toLong\n        val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n        val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n        allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n      )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6e4202326c28d64d565d70899803e58cfc1c56f97355af24681d61ec6894961c",
      "mainChain": true
    },
    {
      "boxId": "5e5d913055a456170b71f6a06d8033ac476cb28cb6df5fe0120d168f10c1a77d",
      "transactionId": "a3ebf39c4fe3b37d6fd2f78e0f7430fc2373b79d28da0ff94c60e150c2bc3db4",
      "blockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "value": 4500000,
      "index": 1,
      "globalIndex": 30829781,
      "creationHeight": 1044056,
      "settlementHeight": 1044058,
      "ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
      "address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "55189580076f753a9fc3077aafb6f1c194b2affac6f2cf012c87bbffb4183606",
      "mainChain": true
    },
    {
      "boxId": "455e017e9ba96940f3cfdeca8b5e52d8f7a35e25b6e9f6ef3ee717bd377a3264",
      "transactionId": "a3ebf39c4fe3b37d6fd2f78e0f7430fc2373b79d28da0ff94c60e150c2bc3db4",
      "blockId": "a7eef8b1a3011062423ad8b8e9517e07767a9d737cf8ae980bbda19a03001d43",
      "value": 1000000,
      "index": 2,
      "globalIndex": 30829782,
      "creationHeight": 1044056,
      "settlementHeight": 1044058,
      "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": "3615a3ea4d26aa5671f67b02e388ffeca9cb8215f29b87885ed358be121dbf77",
      "mainChain": true
    }
  ],
  "size": 1191,
  "isUnconfirmed": false
}